Univerza na Primorskem Fakulteta za matematiko, naravoslovje in informacijske tehnologije
SI | EN

Ponedeljkov seminar računalništva in informatike - Arhiv

2021 2020 2019 2018 2017 2016 2015 2014 2013 2012
1 2 3 4 5 6 7 8 9 10 11 12

petek, 22. oktober 2021 M.Besher MASSRI: Tracking Innovations and Technologies in Artificial Intelligence

V ponedeljek, 25. oktobra 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 25. oktober 2021 ob 16.00 na daljavo

--------------------------------------------
PREDAVATELJ: M.Besher MASSRI
--------------------------------------------

M.Besher Massri is a first-year student of the master's program in Information and Communication Technologies at Jožef Stefan International Postgraduate School. He will be presenting his diploma work that was completed during his studies at UP FAMNIT under the supervision of prof. Branko Kavšek.

-------------------------------------------------------------------------------------------------
NASLOV: Tracking Innovations and Technologies in Artificial Intelligence
-------------------------------------------------------------------------------------------------

POVZETEK:

This work presents a system for tracking innovations and technologies from their inception in academia to their possible realization in the business world. We apply the system to the Artificial Intelligence domain to identify and analyze the landscape of AI technologies. We illustrate how current hot topics in AI can be traced back to innovations and progress that happened years ago. Our system monitors the status of AI technologies in multiple stages including research, patents, news, and the job market. In this presentation, we will present the system described and show some use case results.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207?pwd=S3Zpdk1VR3pjckNtWkQwKzlvcDR5UT09

Vabljeni! 


ponedeljek, 27. september 2021 Nedim ŠIŠIĆ: A new method for polygonization of connected areas in binary images

Danes, v ponedeljek, 27. septembra 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 27. september 2021 ob 16.00 na daljavo

-------------------------------------
PREDAVATELJ: Nedim ŠIŠIĆ
-------------------------------------

Nedim Šišić is a first year student of the master programme in Computer Science at UP FAMNIT. He will be presenting his Research seminar that he completed under the supervision of prof. Martin Milanič.

------------------------------------------------------------------------------------------------------------
NASLOV: A new method for polygonization of connected areas in binary images
------------------------------------------------------------------------------------------------------------

POVZETEK:

In image processing, vectorization is the conversion of raster images to vector images. Polygonization, a type of vectorization, finds polygonal approximations of raster images. Most existing vectorization methods process entire images, thus performing unnecessary work if we are only interested in a single part of an image. Here, we will describe an approach to polygonizing binary images, where only a single connected component of interest is polygonized. Our method reduces the time and space requirements in this problem setting compared to existing methods. In this presentation we will show the results of the proposed method, Polygonize.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207?pwd=S3Zpdk1VR3pjckNtWkQwKzlvcDR5UT09

Vabljeni! 


petek, 17. september 2021 Jordan DEJA: PIANO 2.0: An Augmented Piano prototype for Personalized Music Learning

V ponedeljek, 20. septembra 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 20. september 2021 ob 16.00 na daljavo

-------------------------------------
PREDAVATELJ: Jordan DEJA
-------------------------------------

Jordan Aiko Deja is a Filipino PhD student working on computational interactions and adaptive visualizations at the HICUP Lab research group of UP FAMNIT. He is supervised by Dr. Matjaž Kljun and Dr. Klen Čopič Pucihar. He earned his BS and MS degrees in Computer Science from De La Salle University, Manila Philippines.

--------------------------------------------------------------------------------------------------------------------
NASLOV: PIANO 2.0: An Augmented Piano prototype for Personalized Music Learning
--------------------------------------------------------------------------------------------------------------------

POVZETEK:

Humans have been developing, learning and playing musical instruments for several millennia. With technological advancements, instruments were becoming more complex. However, it is in the recent decades, that several computer supported innovations augmenting musical instruments have been introduced. In this seminar, we present PIANO 2.0 - with the goal of augmenting the music learning experience of a piano novice. We will present the proposed design, a demonstration of its existing features and a proposed user testing plan. We will solicit ideas from the audience in order to improve the prototype design, and the proposed data collection and user testing plan intended for piano learners.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207?pwd=S3Zpdk1VR3pjckNtWkQwKzlvcDR5UT09

Vabljeni!


ponedeljek, 13. september 2021 Elham MOTAMEDI: Prediction of eudaimonic and hedonic movie characteristics from subtitles

V ponedeljek, 13. septembra 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 13. september 2021 ob 16.00 na daljavo

--------------------------------------------------
PREDAVATELJICA: Elham MOTAMEDI
--------------------------------------------------

Elham Motamedi is a PhD student at UP FAMNIT under the supervision of prof. Marko Tkalčič. She completed her Master's degree of networked systems at the University of Tehran, Iran and her Bachelor's degree of information technology at the Isfahan University of Technology, Iran. Her research areas include recommender systems,  machine learning and complex networks.

------------------------------------------------------------------------------------------------------------------
NASLOV: Prediction of eudaimonic and hedonic movie characteristics from subtitles
------------------------------------------------------------------------------------------------------------------

POVZETEK:

In this work, I will present the pipeline and preliminary results for the prediction of eudaimonic and hedonic characteristics of movies. First, I will provide a motivation why these characteristics are important for personalization (user modeling and recommender systems). Then I will briefly present the dataset that we used with focussing on the correlational analysis of the data. Then I will describe the machine learning pipeline, from using natural language processing techniques for feature engineering to the training and evaluation. Finally, I will present the results of the prediction.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207?pwd=S3Zpdk1VR3pjckNtWkQwKzlvcDR5UT09

Vabljeni!


petek, 3. september 2021 Nuwan T. ATTYGALLE: Interactive Web Documentaries: A Case Study of Video Viewing Behaviour on iOtok

V ponedeljek, 6. septembra 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 6. september 2021 ob 16.00 na daljavo

------------------------------------------------
PREDAVATELJ: Nuwan T. ATTYGALLE
------------------------------------------------

Nuwan Tharanga Attygalle is a PhD student in Computer Science in the field of Human-Computer interactions and a teaching assistant at the University of Primorska, Faculty of Mathematics, Natural Sciences and Information Technologies. He is also a member of the HICUP Lab at the Department of Information Sciences and Technologies.

------------------------------------------------------------------------------------------------------------------------------
NASLOV: Interactive Web Documentaries: A Case Study of Video Viewing Behaviour on iOtok
------------------------------------------------------------------------------------------------------------------------------

POVZETEK:

In this study, we explore video viewing behaviour when videos are wrapped in interactive content in the case of iOtok, a 13-episodes web documentary series. The interaction and viewing data were collected over a period of one year, providing a dataset of more than 12200 total video views by 6000 users. Standard metrics (video views, percentage viewed, number of sessions) show higher active participation for registered users compared to unregistered users. Results also indicate that serialisation over multiple weeks is an effective strategy for audience building over a long period of time without negatively affecting video views. In viewing behaviour analysis, we focused on three perspectives: (i) regularity (watching on a weekly basis or not), (ii) intensity (number of videos per session) and (iii) order of watching. We performed a perspective based and combined perspectives analysis involving manual coding techniques, rule-based and k-means clustering algorithms to reveal different user profiles (intermittent, exemplary, detached, enthusiastic users, and nibblers) and highlight further viewing behaviour differences (e.g. post-series users binge-watched more than concurrent users during first 13 weeks while the series was weekly released). We discuss how these results can be used to inform the design and promotion of future web documentaries.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207?pwd=S3Zpdk1VR3pjckNtWkQwKzlvcDR5UT09

Vabljeni!


četrtek, 26. avgust 2021 Urška GERIČ: Genetska struktura in njen vpliv na telesne mase in oplojenost mladic srnjadi v Sloveniji

V ponedeljek, 30. avgusta 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 30. avgust 2021 ob 16.00 na daljavo

-----------------------------------------
PREDAVATELJICA: Urška GERIČ
-----------------------------------------

Urška Gerič je doktorska študentka računalništva in informatike na UP FAMNIT. Trenutno se ukvarja s pripravo postopkov za analizo rezultatov sekvenciranja z različnimi bioinformatičnimi orodji. Dela na različnih vrstah med katerimi so npr. srne, pa tudi vzorci bizonov, ki so stari do 75.000 let.

------------------------------------------------------------------------------------------------------------------------------------
NASLOV: Genetska struktura in njen vpliv na telesne mase in oplojenost mladic srnjadi v Sloveniji
------------------------------------------------------------------------------------------------------------------------------------

POVZETEK:

Evropska srna / srnjad (Capreolus capreolus) se v vseevropski razširjenosti srečuje s široko raznolikostjo okoljskih razmer, zato več dejavnikov oblikuje znake njenih življenjskih strategij in fitnesa (uspešnosti) populacij. V pričujoči raziskavi smo ugotavljali vpliv genetskih dejavnikov na populacijsko strukturo glede na lovsko upravljavska območja (LUO) v Sloveniji. Z uporabo 14 mikrosatelitnih lokusov smo pri 214 vzorcih mladic evropske srne iz območja celotne Slovenije opredelili genetsko populacijsko strukturo, upoštevajoč LUO odvzema vzorca. Razlike v obstoječi populacijski strukturi med LUO smo razložili s populacijsko zgodovino, povezano z različnimi pristopi k upravljanju populacij in / ali različni povezanosti med sub populacijami. Vzorci genetske strukture v Sloveniji so bili jasno opredeljeni z ločitvijo populacij v tri gruče, prisotne v naslednjih regijah: (i) južno submediteranska in kraška regija, (ii) osrednja Slovenija in (iii) subpanonska regija na severovzhodu. Rezultate smo potrdili z analizo izolacije z distanco, ki je pokazala zmerno izoliranost in ločitev vzorcev iz južnega dela Slovenije (južno submediteranska in kraška regija) od ostalih dveh gruč (napisi kateri). Na vzorcih 172 enoletnih samic smo analizirali vpliv genetskih značilnosti na dva pomembna parametra vitalnosti (telesna masa in razmnoževalna sposobnost). Rezultati so pokazali močan vpliv telesne mase na število rumenih telesc (Corpora Lutea), prav tako pa smo pokazali vpliv genetske komponente na telesno maso, medtem ko močnega direktnega vpliva genetske komponente na število rumenih telesc nismo zaznali. V model smo vključili tudi zemljepisno širino, kot geografsko komponento in leto odstrela kot okoljsko spremenljivko, kjer smo dokazali, da na telesno maso in reproduktivno sposobnost vpliva več dejavnikov med katerimi prevladujejo okoljski dejavniki in razpoložljivost virov.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v slovenskem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207

Vabljeni! 


ponedeljek, 23. avgust 2021 Nuwan T. ATTYGALLE: Missing Interface - Gesture Recognition on Physical Objects using Radar Sensing

V ponedeljek, 23. avgusta 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 23. avgust 2021 ob 16.00 na daljavo

-------------------------------------------------
PREDAVATELJ: Nuwan T. ATTYGALLE
-------------------------------------------------

Nuwan Tharanga Attygalle is a PhD student in Computer Science in the field of Human-Computer interactions and a teaching assistant at the University of Primorska, Faculty of Mathematics, Natural Sciences and Information Technologies. He is also a member of the HICUP Lab at the Department of Information Sciences and Technologies.

------------------------------------------------------------------------------------------------------------------------
NASLOV: Missing Interface: Gesture Recognition on Physical Objects using Radar Sensing
------------------------------------------------------------------------------------------------------------------------

POVZETEK:

Physical objects are usually not designed with interaction capabilities to control digital content. Nevertheless, they provide an untapped source for interactions since every object could be used to control our digital lives. We call this the missing interface problem: Instead of embedding computational capacity into objects, we can simply detect users’ gestures on them. However, gesture detection on such unmodified objects so far has been limited in spatial resolution and detection fidelity. To address this gap, we conducted research on micro-gesture detection on physical objects based on Google Soli’s radar sensor. We introduce two novel deep learning architectures to process range-Doppler images, namely a 3-dimensional convolutional neural network (Conv3D) and a spectrogram-based ConvNet. The results show that our architectures enable robust on-object gesture detection, achieving accuracy around 94% for a 5-gesture set, surpassing previous state-of-the-art performance results by up to 39%. We also show that the decibel (dB) Doppler range setting has a significant effect on system performance, as accuracy can vary up to 20% across the dB range. As a result, we provide guidelines on how to best calibrate the radar sensor.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207

Vabljeni! 


ponedeljek, 16. avgust 2021 Stephanie Furlan: Interakcija med droni in človekom

V ponedeljek, 16. avgusta 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 16. avgust 2021 ob 16.00 na daljavo

--------------------------------------------------
PREDAVATELJICA: Stephanie FURLAN
--------------------------------------------------

Stephanie Furlan je študentka magistrskega študijskega programa Računalništvo in informatika na UP FAMNIT. Trenutno se ukvarja z magistrskim delom, v katerem raziskuje področje interakcije med človekom in droni.

------------------------------------------------------------
NASLOV: Interakcija med droni in človekom
------------------------------------------------------------

POVZETEK:

Nedvomno prinaša tehnološki napredek sodobni družbi mnogotere olajšave in ponuja nešteto možnosti za udejanjenje vedno bolj lagodnega življenja. Hkrati odpira uvajanje novih tehnologij celo vrsto ne le praktičnih, temveč tudi etičnih vprašanj, ki jih taka uvedba predpostavlja. Droni so brezpilotni letalniki, katerih oblika in namembnost sta se skozi čas spreminjali. Nastali so kot vojaški pripomočki; ker se njihova izvorna uporaba veže ravno na bojno polje, lahko zasledimo, da se v povprečju sodobni človek na njihovo prisotnost v svojem okolju odziva negativno: gre najbrž le za posledico, kajti večinoma ni seznanjen z dejstvom, da je lahko njihova uporaba tudi koristna za vsakodnevno življenje. Naš namen je bralcu podati nekaj ključnih informacij o številnih možnostih za uporabo dronov tudi s strani povprečnega človeka in to pri vsakodnevnih praktičnih opravilih; v raziskavi bomo dlje korenito utemeljili, kako se človek odraža na prisotnost drona v svoji bližini in z njim interagira, kateri dejavniki vplivajo na njegovo reakcijo, katere tehnične plati lahko izboljšamo ali nadgradimo za njihovo učinkovitejšo uporabnost, predvsem pa njihovo stopnjo sprejemljivosti s strani ljudi. Področje, ki raziskuje interakcijo med človekom in droni, je v znanstvenih krogih poznano s kratico HDI (human-drone interaction) in ravno tej vsebini bomo namenili našo pozornost.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v slovenskem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207

Vabljeni! 


ponedeljek, 9. avgust 2021 Sead Hrustanović: Recognition of eudaimonic and hedonic qualities from song lyrics

V ponedeljek, 2. avgusta 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 2. avgust 2021 ob 16.00 na daljavo

-----------------------------------------------
PREDAVATELJ: Sead HRUSTANOVIĆ
-----------------------------------------------

Sead Hrustanović is a second year student of the master programme in Data Science at UP FAMNIT. He will be presenting his Master's thesis topic that he is completing under the supervision of assoc. prof. Marko Tkalcic and assist. prof. Branko Kavšek.

------------------------------------------------------------------------------------------------------
NASLOV: Recognition of eudaimonic and hedonic qualities from song lyrics
------------------------------------------------------------------------------------------------------

POVZETEK:

There have been many studies conducted on emotion recognition based on song lyrics. These studies help recommendation systems in a way that they tend to classify the emotion that is present in a song,and based on that the system recommends a similar song to what the user is already listening to. But what happens if we dig deeper and look further than just at the specific emotion a certain song gives. We can look for the hedonic and eudaimonic qualities within songs, through the song lyrics. We are creating a machine learning  model which will be able to recognize the percentage of hedonism and eudaimonia based on song lyrics.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207

Vabljeni!

 


ponedeljek, 9. avgust 2021 Domen VAKE: Algoritem za pošiljanje sporočil v decentraliziranih omrežjih, ki temelji na pseudo naključnosti

V ponedeljek, 9. avgusta 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 9. avgust 2021 ob 16.00 na daljavo

--------------------------------------
PREDAVATELJ: Domen VAKE
--------------------------------------

Domen Vake je študent magistrskega študijskega programa Računalništvo in informatika na UP FAMNIT. Trenutno se ukvarja z magistrskim delom, v katerem raziskuje pošiljanje sporočil v decentraliziranih omrežjih, ki temelji na pseudo naključnosti.

---------------------------------------------------------------------------------------------------------------------------------------------
NASLOV: Algoritem za pošiljanje sporočil v decentraliziranih omrežjih, ki temelji na pseudo naključnosti
---------------------------------------------------------------------------------------------------------------------------------------------

POVZETEK:

Predstavljen bo inovativen algoritem za diseminacijo sporočil v popolnoma decentraliziranih sistemih. Motivacija za raziskavo prihaja iz področja tehnologije veriženja blokov in razvoja decentraliziranih omrežnih protokolov. Ena izmed ključnih omejitev tovrstnih sistemov je učinkovita diseminacija sporočil, ki imajo s strani sistemskega pogleda lahko naključen izvor. Cilj dobrega algoritma je, da v čim krajšem času vsa vozlišča prejmejo sporočilo. Najbolj razširjena in enostavna implementacija je t.i "flooding algoritem", ki zagotavlja, da bodo vsa vozlišča, ki so povezana v omrežje prejela sporočilo. Algoritmi, ki temeljijo na principu poplavljanja so neučinkoviti. Učinkovitost tovrstnih algoritmov običajno ocenjujemo z mero, ki opisuje koliko krat vozlišče prejme enako sporočilo. Optimalen algoritem bi zagotavljal, da bodo ne glede na izvor sporočila vsa vozlišča zanj izvedela in ga bo vsako vozlišče prejelo natanko enkrat.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v slovenskem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207

Vabljeni!


ponedeljek, 26. julij 2021 Mateja Jovanović: Predicting the gullibility of users from their online behaviour

Danes, v ponedeljek, 26. julija 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno 
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE 
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 26. julij 2021 ob 16.00 na daljavo

-----------------------------------------------
PREDAVATELJ: Mateja JOVANOVIĆ
-----------------------------------------------

Mateja Jovanović is a MSc student of the Data Science program at the University of Primorska, Faculty of Mathematics, Natural Sciences and Information Technologies. He is conducting his MSc thesis under the supervision of Assoc. Prof. Marko Tkalčič and Assist. Prof. Vida Groznik.

-------------------------------------------------------------------------------------------------
NASLOV: Predicting the gullibility of users from their online behaviour
-------------------------------------------------------------------------------------------------

POVZETEK: 

Users can become victims of online scams. Their propensity for becoming victims depends on a personal characteristic called gullibility. In this work we explore if online behaviour, Twitter in particular, depends on the gullibility of users. Furthermore, we aim at devising a machine learning-based predictive model of gullibility. 

--------------------------------------------------------------------------------------------------- 

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207

Vabljeni!


nedelja, 11. julij 2021 Elham MOTAMEDI: Predicting Music Relistening Behavior Using The ACT-R Framework

V ponedeljek, 12. julija 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno 
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE 
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 12. julij 2021 ob 16.00 na daljavo

--------------------------------------------------
PREDAVATELJICA: Elham MOTAMEDI
--------------------------------------------------

Elham Motamedi is a PhD student at UP FAMNIT under the supervision of prof. Marko Tkalčič. She completed her Master's degree of networked systems at the University of Tehran, Iran and her Bachelor's degree of information technology at the Isfahan University of Technology, Iran. Her research areas include recommender systems,  machine learning and complex networks.

--------------------------------------------------------------------------------------------------------
NASLOV: Predicting Music Relistening Behavior Using The ACT-R Framework
--------------------------------------------------------------------------------------------------------

POVZETEK: 

I will present the work that has been done to model the music relistening behavior using a well-established framework from psychology that considers the retrieval process of human memories, i.e., Adaptive Control of Thought—Rational (ACT-R). This work has been carried out in collaboration with researchers from Graz University of Technology and JKU linz.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207

Vabljeni!


nedelja, 13. junij 2021 Nuwan T. ATTYGALLE: Sensing through materials

V ponedeljek, 14. junija 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 14. junij 2021 ob 16.00 na daljavo

-------------------------------------------------
PREDAVATELJ: Nuwan T. ATTYGALLE
-------------------------------------------------

Nuwan Tharanga Attygalle is a PhD student in Computer Science in the field of Human-Computer interactions and a teaching assistant at the University of Primorska, Faculty of Mathematics, Natural Sciences and Information Technologies. He is also a member of the HICUP Lab at the Department of Information Sciences and Technologies.

-------------------------------------------------
NASLOV: Sensing through materials
-------------------------------------------------

POVZETEK: 

Gesture recognition has received increased attention with machine learning breakthroughs and the attainability of radar chips. In the real world, it often needs sensing through materials. In this work, we are studying how the degradation of radar signals affects the performance of gesture recognition.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207

Vabljeni!


sreda, 2. junij 2021 Niki Hrovatin: In-Network Convolution in grid shaped Sensor Networks

V ponedeljek, 31. maja 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 31. maj 2021 ob 16.00 na daljavo

-----------------------------------------
PREDAVATELJ: Niki HROVATIN
-----------------------------------------

Niki Hrovatin is a teaching assistant and PhD student at the University of Primorska, Department of Information Sciences and Technologies, and an Assistant Researcher at the InnoRenew CoE. His current research interests include Wireless Sensor Networks, Security and Privacy, Machine Learning, and Blockchain.

------------------------------------------------------------------------------------------
NASLOV: In-Network Convolution in grid shaped Sensor Networks
------------------------------------------------------------------------------------------

POVZETEK: 

A Sensor Network consists of spatially distributed nodes deployed in a dynamic environment for specific monitoring purposes. We present the recent development of our use-case sensor network, a smart floor designed to detect falls. The smart floor is a grid-shaped sensor network in which each sensor node is sensing the local force applied on the floor. A Convolutional Neural Network (CNN) is used to recognize if the activity occurring over the smart floor is a person that fell on the floor or just activities of daily living like walking, moving objects, etc. Furthermore, we discuss a technique applicable only to grid-shaped sensor networks for distributed processing of convolutional layers on sensor nodes.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207

Vabljeni!


sreda, 2. junij 2021 Lisi QARKAXHIJA: Network based predictive modeling

V ponedeljek, 7. junija 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno 
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE 
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 7. junij 2021 ob 16.00 na daljavo

-------------------------------------------
PREDAVATELJ: Lisi QARKAXHIJA
-------------------------------------------

Lisi Qarkaxhija is a second year student of the master programme in Data Science at UP FAMNIT. He will be presenting his Master's thesis topic that he is completing under the supervision of assoc. prof. Miklós Krész and PhD candidate László Hajdu.

--------------------------------------------------------------
NASLOV: Network based predictive modeling
--------------------------------------------------------------

POVZETEK: 

Real world networks can be classified into several categories, namely social networks, information networks, technological networks, biological networks, etc. Citation networks are one of the most famous examples of information networks. Various methods have been proposed to predict the citation count of papers in the future. We propose a novel approach for predicting the citation count of papers up to 10 years in advance by extracting features of nodes (papers) from a temporal citation network. These results can be further generalized to other type of networks.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207

Vabljeni!


nedelja, 23. maj 2021 Jan Škorjanc: Uporaba asociacijskih pravil za klasifikacijo

V ponedeljek, 24. maja 2021, bo ob 16.30 uri prek spletnih orodij na daljavo izvedeno 
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE 
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 24. maj 2021 ob 16.30 na daljavo

---------------------------------------
PREDAVATELJ: Jan ŠKORJANC
---------------------------------------

Jan Škorjanc je absolvent magistrskega študijskega programa Računalništvo in informatika na UP FAMNIT. Trenutno se ukvarja z magistrskim delom, v katerem raziskuje uspešnost klasifikacijskih algoritmov, ki za svoje delovanje uporabljajo asociacijska pravila.

-----------------------------------------------------------------------
NASLOV: Uporaba asociacijskih pravil za klasifikacijo
-----------------------------------------------------------------------

POVZETEK: 

Klasifikacija in iskanje asociacijskih pravil sodita med najbolj uporabljene naloge podatkovnega rudarjenja. Za klasifikacijo je značilno, da na učni množici podatkov zgradi model, s katerim napove enega izmed atributov, ki mu pravimo razred. Asociacijska pravila razrednega atributa nimajo, končna množica pravil pa je lahko izpeljana za katerikoli atribut. V seminarju bomo obe področji združili tako, da bomo analizirali delovanje klasifikatorjev, ki uporabljajo asociacijska pravila. Algoritme smo zagnali na podatkovnih zbirkah pridobljenih iz repozitorija UCI ML in pri tem sledili metodologiji CRISP-DM. Cilj raziskave je bil algoritme med seboj primerjati, jih analizirati in določiti njihovo uspešnost.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v slovenskem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207

POZOR! Seminar se tokrat začne pol ure kasneje - ob 16:30.

Vabljeni!


nedelja, 16. maj 2021 Polygonization of connected areas in binary image

Jutri, v ponedeljek, 17. maja 2021, bosta ob 16.00 uri prek spletnih orodij na daljavo izvedeni 
dve predavanji v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE 
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 17. maj 2021 ob 16.00 na daljavo


1. predstavitev:

-------------------------------------
PREDAVATELJ: Nedim ŠIŠIĆ
-------------------------------------

Nedim Šišić is a first year student of the master programme in Computer Science at UP FAMNIT. He will be presenting his Research seminar topic that he completed under the supervision of prof. Martin Milanič.

---------------------------------------------------------------------------------
NASLOV: Polygonization of connected areas in binary image
---------------------------------------------------------------------------------

POVZETEK: 

In image processing, vectorization is the conversion of raster images to vector images. A special kind of vectorization is polygonization, which deals with finding polygonal approximations. Most existing vectorization methods process entire images, which is unnecessary if we are only interested in a single part of an image. We investigate approaches to polygonizing connected areas in binary images. By restricting the scope of vectorization, we reduce its time and memory requirements.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207

Vabljeni!


2. predstavitev:

----------------------------------------------
PREDAVATELJ: Albert KHAIDAROV
----------------------------------------------

Albert Khaidarov is a first year student of the master programme in Computer Science at UP FAMNIT. He will be presenting his Research seminar topic that he completed under the supervision of assist. prof. Dávid Balázs.

-------------------------------------------------------------------------------------------------------------------------------------------
NASLOV: A Hybrid Clustering Algorithm for solving the Vehicle Routing Problem in Waste Management
-------------------------------------------------------------------------------------------------------------------------------------------

POVZETEK: 

Proper collection of waste is important for building sustainable and livable cities, but it remains a great challenge for us. The purpose of my research is to find an effective solution approach for the Vehicle Routing Problem in waste management. My work involves the usage of the best known clustering algorithm K-Means.This method performs a single clustering of the vertex set and then determines a vehicle route on each cluster. For optimization, solutions of the clustering algorithm can be extended with different heuristic and metaheuristic methods.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207

Vabljeni!


petek, 7. maj 2021 Zakaj je delodajalec Actual I.T. d.d. prava izbira za vas?

V ponedeljek, 10. maja 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 10. maj 2021 ob 16.00 na daljavo

-----------------------------------------------------------------------
PREDAVATELJA: Magda ŠTURMAN in Boštjan PETELIN
-----------------------------------------------------------------------

mag. Magda Šturman, Vodja OE Kadri, pravne in splošne zadeve v Actualu I.T. d.d. Magistrirala je na Fakulteti za družbene vede iz smeri Managmenta kadrov in delovnih razmerjih. Ima bogate delovne izkušnje na kadrovskem področju, pa tudi kot predavateljica.

mag. Boštjan Petelin, BU direktor Transport&Logistic v Actualu I.T. d.d. Magistriral je na Ekonomski fakulteti v Ljubljani. Ima bogate delovne izkušnje na področju prodaje, projektnega vodenja in poslovne informatike.

--------------------------------------------------------------------------------------
NASLOV: Zakaj je delodajalec Actual I.T. d.d. prava izbira za vas?
--------------------------------------------------------------------------------------

POVZETEK: 

Predstavili vam bomo podjetje Actual I.T. d.d., ki s FAMNIT-om odlično sodeluje že vrsto let. Actual ponuja celovite informacijske rešitve, ki so podpora poslovnim procesom na posameznih področjih poslovanja. Actual je del skupine DBA Group iz Italije. Skupina Actual je prisotna na trgih Slovenije, Hrvaške, Bosne in Hercegovine, Srbije ter Italije. Z jasnimi strateškimi usmeritvami in razvojnimi prioritetami postajamo pomemben igralec na trgih jugovzhodne Evrope, EU, Južne Amerike, Afrike in Rusije.
Na srečanju bomo kratko predstavili kdo smo, kaj delamo, kaj potrebujemo, kaj nudimo in kako je pri nas.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v slovenskem jeziku prek spletnega orodja Zoom.
Predavanje je namenjeno predvsem študentom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207

Vabljeni!


ponedeljek, 3. maj 2021 Matevž Mak: P2P omrežja in simulatorji

Danes, v ponedeljek, 3. maja 2021, bosta ob 16.00 uri prek spletnih orodij na daljavo izvedeni dve predavanji v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 3. maj 2021 ob 16.00 na daljavo


1. predstavitev:

-------------------------------------
PREDAVATELJ: Matevž MAK
-------------------------------------

Matevž Mak je študent 2. letnika magistrskega programa 2. stopnje Računalništvo in informatika na UP FAMNIT. Temo bo predstavil v okviru raziskovalnega seminarja, ki ga je izdelal pod mentorstvom Aleksandra Tošića.

-------------------------------------------------
NASLOV: P2P omrežja in simulatorji
-------------------------------------------------

POVZETEK:

P2P omrežja so decentralizirana omrežja, ki so sedaj zelo vroča tema za implementacijo sodobnih tehnologij, ker omogočajo deljenje CPU moči, spomina, prostora, bandwidtha. Problem p2p omrežja je, da ni dobrega simulatorja, ki bi upošteval vse parametre, ki jih mora imeti dober simulator, da lahko z gotovostjo trdimo, da bo tako tudi v realnem svetu. Zaradi tega problema so raziskovalci in prav tako inženirji razvili svoje lastne simulatorje, ki rešujejo nek specifičen problem.
Na področju raziskovanja je to velik problem, kajti raziskovalci ne morejo ponoviti eksperimentov nekoga drugega. Pri svojem raziskovanju bi rad implementiral svoje p2p omrežje, kjer bi simuliral nek protokol.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v slovenskem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207

Vabljeni!


2. predstavitev:

----------------------------------------
PREDAVATELJ: Stefan BJEDOV
----------------------------------------

Stefan Bjedov is a second year student of the master programme in Computer Science at UP FAMNIT. He will be presenting his Research seminar topic that he completed under the supervision of prof. dr. Marko Tkalčič.

-----------------------------------------------------------------------------------
NASLOV: Agile Scrum methodology in software development
-----------------------------------------------------------------------------------

POVZETEK:

With the success of Agile Methods, many companies are abandoning conventional development methodologies in favor of Agile development methodologies. Agile, rather than being predictive, is adaptable and people-centered. The aim of this research is to define the fundamental people factors that must be considered when implementing Agile in order for a team to be successful. Also to provide an overview of the people factors that are often overlooked when using agile to set up software development teams.
To accomplish this, three different-sized example Agile teams will be used and run using the same Agile concepts. The results will help decide which team will work together and deliver the most, provided that they all have all of the requisite skill sets and team member profiles.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207

Vabljeni!

 


četrtek, 15. april 2021 Jordan Aiko DEJA: Adaptive Visualisations Using Spatiotemporal and Heuristic Models to Support Piano Learning

V ponedeljek, 19. aprila 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 19. april 2021 ob 16.00 na daljavo

-------------------------------------------
PREDAVATELJ: Jordan Aiko DEJA
-------------------------------------------

Jordan Deja is a Filipino PhD student working on computational interactions and adaptive visualizations on music learning, in the HICUP research group at the University of Primorska. He earned his bachelor's (BS) and master's (MS) degrees in Computer Science from De La Salle University.

---------------------------------------------------------------------------------------------------------------------------------------------
NASLOV: Adaptive Visualisations Using Spatiotemporal and Heuristic Models to Support Piano Learning
---------------------------------------------------------------------------------------------------------------------------------------------

POVZETEK:

Learning the piano is hard and many approaches including piano-roll visualisations have been explored in order to support novices in this process. However, existing piano roll prototypes have not considered the spatiotemporal component (user's ability to press on a moving target) when generating these visualisations and user modelling. In this PhD, we are going to look into two different approaches: (i) exploring whether existing techniques in single-target spatiotemporal modelling can be adapted to a multi-target scenario such as when learners use several fingers to press multiple moving targets when playing the piano, and (ii) exploring heuristics by experts marking various difficult parts of songs, and deciding on specific interventions needed for marked parts. Using models and input from the experts we will design and build an adaptive piano roll training system to better support piano learners. We will evaluate and compare these models in various user studies involving novices trying to play piano pieces and develop their improvisation skills. We intend to uncover whether these adaptive visualisations will be helpful in the overall training of piano learners. Additionally, these models and adaptive visualisations will allow us to discover affordances that can potentially improve piano learning in general.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207

Vabljeni!


četrtek, 8. april 2021 Sidra ASLAM: Secure and Privacy-Aware Blockchain Design: Requirements, Challenges and Solutions

V ponedeljek, 12. aprila 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 12. april 2021 ob 16.00 na daljavo

-----------------------------------------
PREDAVATELJICA: Sidra ASLAM
-----------------------------------------

Sidra Aslam received her master's degree in computer science from the COMSATS University Islamabad, Pakistan in January 2017. During this period, she worked on research projects and published research papers in scholarly journals and conference proceedings. In 2015, she received the best research paper award at the National Software Engineering Conference (NSEC), IEEE in Pakistan. She is currently an Assistant Researcher at the InnoRenew CoE, a teaching assistant and a Ph.D. student at the Faculty of Mathematics, Natural Sciences and Information Technologies, University of Primorska, Slovenia. Her current research interests include information security and privacy, blockchain, and semantic web technologies.

----------------------------------------------------------------------------------------------------------------------------------
NASLOV: Secure and Privacy-Aware Blockchain Design: Requirements, Challenges and Solutions
----------------------------------------------------------------------------------------------------------------------------------

POVZETEK:

During the last decade, distributed ledger solutions such as blockchain have gained significant attention due to their decentralized, immutable, and verifiable features. However, the public availability of data stored on the blockchain and its link to users may raise privacy and security issues. In some cases, addressing these issues requires blockchain data to be secured with mechanisms that allow on-demand (as opposed to full) disclosure. In this seminar, we give a comprehensive overview of blockchain privacy and security requirements, and detail how existing mechanisms answer them. We provide a taxonomy of current attacks together with related countermeasures. We present a thorough comparative analysis based on various parameters of state-of the-art privacy and security mechanisms, we provide recommendations to design secure and privacy-aware blockchain, and we suggest guidelines for future research.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207

Vabljeni!


četrtek, 25. marec 2021 Vito JANKO: Choosing the right counter-measures to stop COVID-19 infections

V ponedeljek, 29. marca 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 29. marec 2021 ob 16.00 na daljavo

------------------------------------
PREDAVATELJ: Vito JANKO
------------------------------------

Vito Janko received his Ph.D. at the Jožef Stefan Institute in 2020, specializing in interpreting sensor data from various wearable devices -- and doing so in an energy-efficient manner. During his work for the institute he collaborated in many national and EU funded projects. He also participated in various data-science competitions: being the first author for the winning submission at the SHL competition, as well as winning the Cooking recognition challenge. He was recently a part of the team that achieved second place in the XPRIZE: Pandemic Response Challenge. In addition, he is active in the Slovenian Artificial Intelligence Society, where he acts as a member of the executive board.

------------------------------------------------------------------------------------------------------
NASLOV: Choosing the right counter-measures to stop COVID-19 infections
------------------------------------------------------------------------------------------------------

POVZETEK: 

A team from Jožef Stefan recently achieved second place in the prestigious international competition -- XPRIZE: Pandemic Response Challenge, and doing so, won half of the 500000$ prize fund. The competition was focused on answering very topical questions, such as how different counter-measures (e.g. lockdowns, school closing, etc.) affect the spread of COVID-19 infections and which of them to choose to best fight the pandemic. A member of the winning team will present their solution of using a novel combination of epidemiological models, machine learning and evolutionary algorithms to create one of the world’s best performing models.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207

Vabljeni!


sreda, 17. marec 2021 Matej FILIPOVIĆ: Spletno orodje za svetovanje pri Scrum-u

V ponedeljek, 22. marca 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 22. marec 2021 ob 16.00 na daljavo

------------------------------------------
PREDAVATELJ: Matej FILIPOVIĆ
------------------------------------------

Matej Filipović je študent magistrskega programa 2. stopnje Računalništvo in informatika na UP FAMNIT. Z delom kot razvijalec spletnih strani, sistemski analitik, lastnik izdelka in strokovnjak za tehnične rešitve v agilnih in tradicionalnih podjetjih je imel priložnost razumeti kako deluje razvoj iz različnih zornih kotov. Le-to mu pomaga razumeti širšo sliko in s tem položaj različnih zaposlenih na različnih položajih znotraj podjetij. Pri delu z različnimi Scrum ekipami se je soočil z veliko nepravilne uporabe Scrum ogrodja. Večinoma vodstvo in zaposleni niso razumeli smiselnost uporabe privzete Scrum strukture in so po svoji presoji spreminjali Scrum brez razumevanja posledic. Prav zato se sedaj posveča predstavitvi posledic in predlogom za izboljšave, da bi več ljudi bolje razumelo kaj se lahko zgodi, če posamezen del Scrum ogrodja prilagodijo.

---------------------------------------------------------------------
NASLOV: Spletno orodje za svetovanje pri Scrum-u
---------------------------------------------------------------------
POVZETEK: 

Scrum je agilna metodologija, ki se vse bolj uporablja v poslovnem svetu. Večinoma se uporablja na področju razvoja programske opreme, ki vsebuje zelo kompleksne procese, veliko različnih možnosti implementacije, veliko usklajevanja z različnimi interesnimi skupinami in veliko razumevanja končnega uporabnika. Za uspešno uporabo Scruma je potrebno imeti prilagojeno strukturo organizacije in pravilno postavljene Scrum procese, ki omogočajo tekoče delo na projektih. Veliko podjetij želi uporabljati Scrum, pri tem pa ne upoštevajo vseh dejavnikov in ne prilagodijo okolja ter se zaradi tega lahko uspešnost projektov zmanjša pri uvedbi Scruma. Naš cilj je izdelava spletne strani z integriranim vprašalnikom. Z odgovori iz vprašalnika bomo ugotovili na katerih področjih podjetje nepravilno uporablja Scrum in jim bomo predstavili za specifična področja posledice nepravilne uporabe in predloge za izboljšavo.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v slovenskem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207

Vabljeni!


četrtek, 11. marec 2021 Sead JAHIĆ: Annotated lexicon for sentiment analysis in Bosnian

V ponedeljek, 15. marca 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 15. marec 2021 ob 16.00 na daljavo

------------------------------------------
PREDAVATELJ: Sead JAHIĆ
------------------------------------------

Sead Jahić is a 3rd year PhD student of computer science at UP FAMNIT. His main research focus is on Language Technologies and Sentiment Analysis. He is also a teaching assistant at University of Primorska, Department of Information Sciences and Technologies.

-------------------------------------------------------------------------------------
NASLOV: Annotated lexicon for sentiment analysis in Bosnian
-------------------------------------------------------------------------------------
POVZETEK: 

The talk presents the first sentiment annotated lexicon of Bosnian language. The language coverage of the lexicon is evaluated using two corpora. The usability of the lexicon was already proven on a Tweeter-based comparison.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207

Vabljeni!


petek, 5. marec 2021 Raziskovalna infrastruktura CLARIN.SI

V ponedeljek, 8. marca 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 8. marec 2021 ob 16.00 na daljavo

------------------------------------------
PREDAVATELJ: Tomaž ERJAVEC
------------------------------------------

Tomaž Erjavec je zaposlen na Odseku za tehnologije znanja Instituta Jožef Stefan, kjer se ukvarja s področji jezikovnih tehnologij, standardov zapisa jezikovnih virov in digitalne humanistike. Zaposlen je bil tudi na Univerzi v Edinburgu in na Tokijski univerzi ter poučeval na Mednarodni podiplomski šoli Jožefa Stefana, na Univerzi v Gradcu in Univerzi v Novi Gorici. Je nacionalni član odbora ISO TC37 SC4 "Language resource management" in nacionalni koordinator raziskovalne infrastrukture CLARIN.SI.

-----------------------------------------------------------------
NASLOV: Raziskovalna infrastruktura CLARIN.SI
-----------------------------------------------------------------
POVZETEK: 

V predavanju bo predstavljena raziskovalna infrastruktura za jezikovne vire in tehnologije CLARIN.SI, del evropske infrastrukture CLARIN. Na kratko bo povzet organizacijski okvir CLARIN(.SI), nato pa storitve, ki jih nudi raziskovalcem in študentom s področij računalniškega jezikoslovja in digitalne humanistike. Bolj nadrobno bomo obravnavali CTS certificirani repozitorij CLARIN.SI, s katerega je mogoče prevzeti raznovrstne jeziko(slo)vne podatkovne množice, kot tudi arhivirati lastne, s čimer prispevamo k uresničevanju koncepta odprte znanosti.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v slovenskem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207

Vabljeni!


nedelja, 28. februar 2021 Jamolbek MATTIEV: The effect of distance metric "directness" on class association rules

V ponedeljek, 1. marca 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 1. marec 2021 ob 16.00 na daljavo

----------------------------------------------
PREDAVATELJ: Jamolbek MATTIEV
----------------------------------------------

Jamolbek Mattiev obtained his PhD degree in Computer Science at UP FAMNIT. He got his Master degree in Computer Science from National University of Uzbekistan and was awarded with first degree diploma at “the best Master Dissertation Work of Uzbekistan” competition in his master studies. He also studied at Turin Polytechnic University (Italy) in his master study as an exchange student. He is doing his research in the field of Data Mining. His research fields include Artificial Intelligence, Data Mining, Machine Learning. In particular, the sub-fields of Supervised and Unsupervised Learning, Frequent Pattern Discovery, Association Rule Learning, Classification and Clustering.

----------------------------------------------------------------------------------------------------------
NASLOV: The effect of distance metric "directness" on class association rules
----------------------------------------------------------------------------------------------------------
POVZETEK: 

Huge amounts of data are being collected and analyzed nowadays. By using the popular rule-learning algorithms, the number of rules discovered on those big datasets can easily exceed thousands. To produce compact and accurate classifiers, such rules have to be grouped and pruned. To group the rules, we need appropriate distance metrics, because distance metrics are very important in clustering applications. To solve the above-mentioned problem, we present new methods (use different distance metrics) that are able to reduce the number of class association rules produced by classical class association rule classifiers, while maintaining an accurate classification model that is comparable to the ones generated by state-of-the-art classification algorithms. We also present how distance metrics are affecting the clustering of class association rules.
Experimental results performed on selected datasets from the UCI ML repository show that our methods are able to learn classifiers containing significantly less rules than state-of-the-art rule learning algorithms on datasets with larger number of examples. On the other hand, classification accuracies of the newly developed methods are not significantly different from state-of-the-art rule-learners on most of the datasets.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207

Vabljeni!


četrtek, 18. februar 2021 Marko NOVAK: Potisna obvestila in njihova uporaba v sodobnih sistemih obveščanja

V ponedeljek, 22. februarja 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 22. februar 2021 ob 16.00 na daljavo

----------------------------------------
PREDAVATELJ: Marko NOVAK
----------------------------------------

Marko Novak je študent magistrskega študijskega programa Računalništvo in informatika na UP FAMNIT. Trenutno se, poleg rednega dela na področju menedžmenta v gostinstvu in turizmu ter projektnega vodenja, ukvarja z magistrskim delom, v katerem skuša razviti mobilno aplikacijo za pametno obveščanje strank o prostih terminih.

----------------------------------------------------------------------------------------------------------
NASLOV: Potisna obvestila in njihova uporaba v sodobnih sistemih obveščanja
----------------------------------------------------------------------------------------------------------

POVZETEK:

Sodobni informacijski sistemi nudijo uporabnikom vse več in več koristnih informacij na vseh področjih. Prav zaradi tako velike količine podatkov so sistemi obveščanja ključni za učinkovito komunikacijo z uporabniki. Vsi si želimo, da bi podatki, ki jih prejemamo bili kar se da uporabni in pravočasni, hkrati pa tudi nemoteči. Na seminarju bodo predstavljena potisna obvestila, kot eden od možnih načinov obveščanja v sodobnih informacijskih sistemih.

---------------------------------------------------------------------------------------------------

Predstavitev v okviru Ponedeljkovega seminarja računalništva in informatike se šteje kot del obveznosti pri predmetu Raziskovalni seminar II.

Predavanje bo potekalo v slovenskem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave: https://upr-si.zoom.us/j/297328207

Vabljeni! 


sreda, 13. januar 2021 Vida GROZNIK: Osnove priporočilnih sistemov

Tokrat izjemoma v petek, 15. januarja 2021, bo ob 9.30 uri prek spletnih orodij na daljavo izvedeno predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 15. januar 2021 ob 9.30 na daljavo

--------------------------------------------
PREDAVATELJICA: Vida GROZNIK
--------------------------------------------

Vida Groznik je asistentka za računalništvo na Fakulteti za matematiko, naravoslovje in informacijske tehnologije na Univerzi na Primorskem ter raziskovalka v Laboratoriju za umetno inteligenco na Fakulteti za računalništvo in informatiko Univerze v Ljubljani. Doktorirala je leta 2018 z delom, ki je tesno povezovalo umetno inteligenco in nevrologijo. Je (so)avtorica več raziskovalnih člankov in poglavij v knjigah s področja umetne inteligence v medicini. Pridobila in delala je na več projektih financiranih s programov EU, Ministrstva za izobraževanje, znanost in šport ter Slovenskega podjetniškega sklada.

-------------------------------------------------------
NASLOV: Osnove priporočilnih sistemov
-------------------------------------------------------

POVZETEK:
Priporočilni sistemi so v zadnjem desetletju doživeli razcvet in so čedalje bolj prisotni tudi v našem vsakdanjem življenju. Z uporabo priporočilnih sistemov nam ponudniki določenih storitev lahko prikazujejo vsebine, ki bodo za nas še posebej zanimive, predvsem učinkovito pa pristope priporočilnih sistemov izkoriščajo (spletni) trgovci in ponudniki multimedijskih vsebin (npr. Netflix). Pogledali si bomo osnove priporočilnih sistemov, kaj so, kako delujejo in kakšne so njihove koristi. Pogledali si bomo tudi eno izmed tehnik skupinskega filtriranja.

---------------------------------------------------------------------------------------------------

Seminar bo hkrati preizkusno predavanje za prvo izvolitev v pedagoški naziv visokošolska učiteljica - docentka za področje »Računalništvo in informatika«.

Predavanje bo potekalo v slovenskem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave: https://upr-si.zoom.us/j/89812476390?pwd=bkVwZG5Rc2RMKzZLTlhDNDVYcU9oZz09

Vabljeni!


sreda, 6. januar 2021 Daring creativity: about the new project LOOSE CELLS – Innovating at the Crossfield of Art and Science and how to become part of it

V ponedeljek, 11. januarja 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 11. januar 2021 ob 16.00 na daljavo

------------------------------------------------------------------------------------------------------------------------
PREDAVATELJA:
Peter PURG (uvodna predstavitev) in Črtomir TAVZES (kratka predstavitev laboratorijev InnoRenew CoE)
------------------------------------------------------------------------------------------------------------------------

Peter Purg currently leads the New Media module in the Digital//Media Arts and Practices graduate//postgraduate programme at the School of Arts, University of Nova Gorica, where he acts as Associate Professor, projects coordinator as well as expert across realms of digital culture and media. Having obtained a PhD in media art, communication science and literature from the University of Erfurt (Germany), his scientific inquiries now include media arts pedagogy, interdisciplinary collaboration and innovation, media art and media ecology. His artistic interests range from (lecture) performances and intermedia installations to public-space interventions as well as participatory creative processes. He is active in the field of cultural and higher education policymaking, assessment and quality assurance. Peter Purg currently leads the interdisciplinary MAST – Module in Art, Science and Technology project (DG Connect) – as well as School of Arts' teams in projects such as KONS - Platform for Investigative Arts (EU Cohesion), DIVA - Art:Biz Innovation Ecosystem (Interreg SI-IT), EmindS (Erasmus+) and TV Free Europe (Creative Europe). He curated the 20th international media/contemporary art festival Pixxelpoint 2019. Full CV at http://au.ung.si/peterpurg.

Dr. Črtomir Tavzes is a researcher at the InnoRenew CoE, an assistant research scientist at the University of Primorska, and conservation restoration adviser at the Institute for the Protection of Cultural Heritage of Slovenia. He earned his PhD in biotechnology in 2003 from the University of Ljubljana, Slovenia. In the following two years, he was a postdoctoral fellow at the Metropolitan Museum of Art in New York, where he continued working until 2008. Upon the return to Slovenia, he also served as the director of the Institute of Wood Science and Technology, and Sustainable Development (until 2014). His research experience spans from enzymatic wood degradation and wood liquefaction through wood pest control to the immunological detection of material substance of cultural heritage objects.

------------------------------------------------------------------------------------------------------------------------
NASLOV:
Daring creativity: about the new project LOOSE CELLS – Innovating at the Crossfield of Art and Science and how to become part of it
------------------------------------------------------------------------------------------------------------------------

POVZETEK:
The project LOOSE CELLS – Innovating at the Crossfield of Art and Science is dedicated to creation and innovation based on the blending of science, art and technology. In this way, it joins those intersectoral collaborations, which have already aroused a lot of international interest, as they can inspire the development of social and economic innovations. Innovation is also the goal of the project. The main activity will be the co-creation of an “art-science object”, which will be designed and created by students of diverse levels and backgrounds. It will be realised under the mentorship of Assoc. Prof. Peter Purg, PhD from School of Arts at University of Nova Gorica, with the advices of InnoRenew CoE experts and with the support of Assoc. Prof. Tilen Žbona, PhD from the Faculty of Education as well as the artists, producers and technicians within the PiNA association or the RUK network. In the seminar, you will learn more about the programme of the project and how to become part of. You will be also invited to discuss any questions with the representatives of the project.

------------------------------------------------------------------------------------------------------------------------

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.

Do predavanja dostopate tako, da se povežete prek sledeče povezave: https://us02web.zoom.us/j/297328207

Vabljeni!


torek, 5. januar 2021 Maheshya WEERASINGHE: Instructional Guidance in Extended Reality for Learning

V ponedeljek, 21. decembra 2020, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 21. december 2020 ob 16.00 na daljavo

-----------------------------------------------------------
PREDAVATELJICA: Maheshya WEERASINGHE
-----------------------------------------------------------

Maheshya Weerasinghe, Computer Science (PhD 3rd Year) HICUP Lab, International joint degree program with University of St.Andrews, UK, Research Areas: Human-Computer Interaction, Extended Realities, e-Learning and Cognitive Augmentation.

---------------------------------------------------------------------------------------------
NASLOV: Instructional Guidance in Extended Reality for Learning
---------------------------------------------------------------------------------------------
POVZETEK: 

Experiential learning refers to the process of learning through experience or more specifically "learning through reflection on doing". These experiences can also be simulated in Extended Reality (XR) – interactive environments generated by computer technology combining real and virtual worlds. Such systems have proved in the past as excellent tools for providing guidance to teach different skills and activities. However, there are still many questions that remain to be answered, for instance: How to improve instructional guidance through "personalisation"? How to adapt the guidance to facilitate learners move from one stage to another in the experiential learning cycle? How to design and implement guidance in adaptive learning environments where the learning system needs to take over all or some of the tasks commonly conduct by educators and overall, how personalisation of instructional guidance influence the outcomes of an experiential learning task. To contribute to the above research questions we aim to introduce a comprehensive design space grounded in (i) XR technology, and (ii) theoretical underpinnings of learning and guidance. Then use these dimensions to describe key design decisions in prior work and elucidate existing gaps. Besides, following the design space, we intend to build an adaptive, personalised instructional guidance system to facilitate learners to move spontaneously from one stage to another in the experiential learning cycle.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://us02web.zoom.us/j/297328207

Vabljeni!