ponedeljek, 9. junij 2025 2 predavanji: Špela ČUČKO & Anastasiia DZIUBA: Sofisticiranost ocenjevanja glasbe in vpliv razlage na priporočila & Graphlet-based Network Analysis

V ponedeljek, 9. junija 2025, bosta ob 16:00 uri izvedeni dve
predavanji v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 9. junij 2025 ob 16.00 v FAMNIT-VP2.

1. predavanje:

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PREDAVATELJICA: Špela ČUČKO
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Špela Čučko zaključuje študijski program Podatkovna znanost in trenutno deluje kot podatkovna znanstvenica, kjer se osredotoča na področje zavarovalništva. Njeno delo vključuje razvoj naprednih analitičnih rešitev, ki temeljijo na podatkovnem modeliranju, strojnem učenju ter uporabi statističnih metod za podporo poslovnim odločitvam v zavarovalni industriji.

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NASLOV: Sofisticiranost ocenjevanja glasbe in vpliv razlage na priporočila
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POVZETEK:

Glasba je univerzalni jezik, ki zajema vse kulture in generacije, hkrati pa predstavlja eno najpomembnejših področij za uporabo priporočilnih sistemov. Večina obstoječih sistemov pri glasbi se pretežno zanašajo na podatke o zgodovini poslušanja, priljubljenosti, žanrskih oznakah ali vedenjske vzorce uporabnikov. Razvili smo priporočilni sistem, ki temelji na analizi glasbene kvalitete s poudarkom na ritmu, melodiji, harmoniji in lastnostih besedila. Raziskali smo, kako glasbena izobrazba vpliva na percepcijo teh lastnosti in ali prisotnost razlage pri priporočilih vpliva na uporabnikov okus in zaupanje v model. Ugotovitve potrjujejo subjektivnost dojemanja glasbe, ter nakazujejo potencialen vpliv vsebinskih razlag pri priporočanju skladb z izrazitimi.

Seminar bo potekal v slovenskem jeziku.

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2. predavanje:

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PREDAVATELJICA: Anastasiia DZIUBA
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Anastasiia Dziuba is a second-year Data Science master’s student at UP FAMNIT.

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NASLOV: Graphlet-based Network Analysis
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POVZETEK:

This research addresses the challenge of capturing local structure in complex networks by applying graphlet-based analysis. While traditional global metrics provide limited insight into detailed connectivity patterns, graphlets (small, connected subgraphs) can offer a more nuanced understanding of how nodes interact within their local neighbourhoods. Although graphlets have been successfully applied in biological and social networks, their potential remains unexplored in other dynamic fields. In this study, we propose an approach to apply graphlet-based analysis to stock market data. The focus is to investigate whether the use of graphlet-based methods can extend traditional approaches by capturing complex topological features. In particular, we will investigate whether graph local and global parameters can improve the detection and interpretation of market shifts and improve portfolio diversification.

Seminar bo potekal v angleškem jeziku.

Vabljeni.

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petek, 23. maj 2025 Shlomo BERKOVSKY: Personality Sensing: Detection of Personality Traits Using Physiological Responses to Image and Video Stimuli

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ponedeljek, 19. maj 2025 Vanja MILESKI: Deep learning for time series data using Inception and ResNet paradigms

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ponedeljek, 24. marec 2025 Fairuz Ishrat BHUIYAN: Comparative Analysis of VR and Traditional Simulators in Anti-Aircraft Training

V ponedeljek, 24. marca 2025, bo ob 16:00 uri izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 24. marec 2025 ob 16.00 v FAMNIT-VP2.

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PREDAVATELJICA: Fairuz Ishrat BHUIYAN
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Fairuz Ishrat Bhuiyan is a master’s degree student, born and raised in Helsinki, Finland. She studies Computer Engineering at the University of Turku, and she is specializing in Health Technology. As her minor subject, she studied Marine Technology / Naval Architecture in the Department of Mechanical Engineering at Aalto University, School of Engineering. Her Bachelors thesis topic was Weather and Air Quality in Helsinki and it was part of a national project called Cityzer. In 2021, she completed her one-year military service at the Guard Jaeger Regiment in Santahamina, Helsinki and was promoted to the rank of corporal.

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NASLOV: Comparative Analysis of VR and Traditional Simulators in Anti-Aircraft Training
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POVZETEK:

The study aims to measure attitude processes when using simulators and subjective experiences after use by comparing a VR-based immersive simulator and a classic non-immersive simulator. The target groups are the conscripts in the Parola Armored Brigade of the Finnish Defense Forces, who will receive training in using an anti-aircraft machine gun with the help of virtual reality. Both simulators highlighted commendable traits, such as prompt responsiveness to user actions and awareness of control devices. The VR simulator's propensity to induce more pronounced simulator sickness symptoms occurred similarly in both simulators, suggesting common physiological responses across different simulator types. Interestingly, participants in the VR simulator found it easier to control events and manipulate objects, leading to better engagement than in real-life scenarios. These findings illuminate the advantages and limitations of VR training with augmented cues, offering valuable insights for refinement and future research endeavors.

Seminar bo potekal v živo, s pričetkom ob 16:00 uri v učilnici FAMNIT-VP2.

Vabljeni.

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petek, 7. marec 2025 Jan JOVAN: ChatGPT in ostali jezikovni modeli

V ponedeljek, 10. marca 2025, bo ob 16:00 uri izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 10. marec 2025 ob 16.00 v FAMNIT-VP2.

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PREDAVATELJ: Jan JOVAN
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Jan Jovan je študent 2. letnika magistrskega programa računalništva in informatike ter razvojni inženir v podjetju Smart Com d.o.o.. Specializira se za integracijo velikih jezikovnih modelov (LLM), kar mu omogoča, da prispeva k razvoju naprednih rešitev v podjetju. Njegovo delo vključuje raziskovanje in implementacijo LLM tehnologij ter iskanje novih načinov za izboljšanje njihove uporabnosti v različnih aplikacijah.

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NASLOV: ChatGPT in ostali jezikovni modeli
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POVZETEK:

Veliki jezikovni modeli (LLM) so revolucionarizirali obdelavo naravnega jezika z izkoriščanjem obsežnih podatkovnih nizov in arhitektur  globokega učenja za generiranjem besedila, odgovarjanjem na vprašanja in izvajanjem kompleksnega sklepanja. Ta seminar raziskuje osnovne mehanizme LLM, vključno z njihovo arhitekturo in metodami usposabljanja, pri čemer izpostavlja naraščajoče število primerov njihove uporabe na različnih področjih. Konkretno se obravnavajo aplikacije LLM v medicini za pomoč pri diagnozi in generiranju medicinske literature, v robotiki za izboljšanje interakcije med človekom in robotom ter v kodiranju za avtomatizacijo razvoja programske opreme. Poudarjeni so tudi izzivi, povezani z ocenjevanjem modelov, vključno z obsegom znanja in razširljivostjo, ter potencialne prihodnje smeri za izboljšanje zmogljivosti LLM.

Seminar bo potekal v živo, s pričetkom ob 16:00 uri v učilnici FAMNIT-VP2.

Vabljeni.

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četrtek, 13. februar 2025 Gianmarco CHERCHI: Interactive and Robust Mesh Booleans

V ponedeljek, 17. februarja 2025, bo ob 16:00 uri izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 17. februar 2025 ob 16.00 v FAMNIT-VP2.

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PREDAVATELJ: Gianmarco CHERCHI
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Gianmarco Cherchi is a Computer Science Researcher (Tenure Track Assistant Professor) at the Department of Mathematics and Computer Science of the University of Cagliari (Italy), where he obtained his PhD. His research interests are in Computer Graphics and Geometry Processing, focusing on the generation and optimization of surface and volumetric meshes, and Digital Fabrication. He is also the Professor of the "Data Visualization" (Applied Computer Science and Data Analytics BSc) and "Web Programming" (Computer Science BSc) courses at the University of Cagliari. In 2024, he received the "Young Investigator Award 2024," granted by the Shape Modeling International Organization.

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NASLOV: Interactive and Robust Mesh Booleans
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POVZETEK:

Boolean operations are among the most used paradigms to create and edit digital shapes. Despite being conceptually simple, the computation of mesh Booleans is notoriously challenging. The main issues come from numerical approximations that make the detection and processing of intersection points inconsistent and unreliable, exposing implementations based on floating-point arithmetic to many kinds of failure. Numerical methods based on rational numbers or exact geometric predicates have the needed robustness guarantees that are achieved at the cost of increased computation times that, as of today, have always restricted the use of robust mesh Booleans to offline applications. In this seminar, I will briefly summarize the results obtained in three recent articles on the topic, which have enabled us to develop an algorithm for Boolean operations with robustness guarantees, capable of operating at interactive frame rates on meshes with up to 200K triangles.

Seminar bo potekal v živo, s pričetkom ob 16:00 uri v učilnici FAMNIT-VP2.

Vabljeni.

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četrtek, 16. januar 2025 Ivan DAMNJANOVIĆ: Finding the number of inequivalent arithmetic expressions on n variables

V ponedeljek, 20. januarja 2025, bo ob 17.00 uri izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 20. januar 2025 ob 17.00 v FAMNIT-VP2.

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PREDAVATELJ: Ivan DAMNJANOVIĆ
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Ivan Damnjanović is pursuing a PhD degree in Mathematical Sciences at the Faculty of Mathematics, Natural Sciences and Information Technologies at the University of Primorska. He previously obtained a PhD degree in Electrical Engineering and Computing at the Faculty of Electronic Engineering at the University of Niš, where he currently works as a teaching assistant at the department of mathematics.

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NASLOV: Finding the number of inequivalent arithmetic expressions on n variables
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POVZETEK:

Given n distinct formal variables, in how many ways can we use them to construct different arithmetic expressions? An expression tree is a rooted tree whose internal nodes correspond to some operations to be performed, while its leaves are formal variables. Here, we deal with the expression trees such that the only allowed operations are the four standard arithmetic operations (addition, subtraction, multiplication and division) together with, optionally, additive inversion. We consider two expressions to be equivalent if their expression trees yield the same formal expression. To begin, we provide certain theoretical results concerning the equivalence of arithmetic expressions. Afterwards, we disclose a Θ(n^2) algorithm that computes the number of inequivalent arithmetic expressions on n distinct variables. The algorithm covers both the case when the unary operation of additive inversion is allowed and when it is not.
(This is a joint work with Ivan Stošić and Žarko Ranđelović.)

Seminar bo potekal v živo, s pričetkom ob 17:00 uri v učilnici FAMNIT-VP2.
Pozor, to je eno uro kasneje kot ponavadi !!!

Vabljeni. 

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petek, 10. januar 2025 Jovan PAVLOVIĆ: A Data-Driven Approach for the Analysis of Ridership Fluctuations in Transit Systems

V ponedeljek, 13. januarja 2025, bo ob 16.00 uri izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 13. januar 2025 ob 16.00 v FAMNIT-VP2.

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PREDAVATELJ: Jovan PAVLOVIĆ
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Jovan Pavlović is a second-year Data Science master's student at UP FAMNIT, where he also earned his bachelor's degree in Mathematics.

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NASLOV: A Data-Driven Approach for the Analysis of Ridership Fluctuations in Transit Systems
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POVZETEK:

This seminar explores a data-driven approach to analyzing ridership fluctuations in public transportation systems, especially during pandemics. It focuses on identifying critical components within urban transit systems, by employing agent-based simulations and graph analytics techniques. Key findings reveal specific transit stops and routes that are highly sensitive to changes in demand, often serving as bottlenecks or high-risk areas for the spread of infectious diseases.

Seminar bo potekal v živo, s pričetkom ob 16:00 uri v učilnici FAMNIT-VP2.

Vabljeni. 

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