Univerza na Primorskem Fakulteta za matematiko, naravoslovje in informacijske tehnologije
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Ponedeljkov seminar računalništva in informatike - Arhiv

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petek, 27. marec 2020 Online seminar: András BÓTA: Network-based framework for estimating the risk factors of epidemic spreading

V ponedeljek, 30. marca 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: 30. marec 2020 ob 16.00 na daljavo

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PREDAVATELJ: András BÓTA
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András Bóta finished his postgraduate studies in Computer Science at the University of Szeged under the supervision of Dr. Miklós Krész and Dr. András Pluhár in 2015, then worked as a Research Associate at the University of New South Wales with Dr. Lauren Gardner for two years. Following that, he worked as a postdoctoral fellow at Umeå University. His main research interests lie in the fields of complex network analysis and artificial intelligence.

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NASLOV: Network-based framework for estimating the risk factors of epidemic spreading
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POVZETEK:

Network-based adaptations of traditional compartmental infection models such as SIR or SEIR can be used to model the spreading of diseases between cities, countries or other geographical regions. One of the common challenges arising in these applications is the lack of available transmission probabilities between these geographical units. The task of inverse infection is the systematic estimation of these values. Several methods have been proposed recently for solving this task. One of them is the Generalized Inverse Infection Model (GIIM) [1]. GIIM offers a large amount of modeling flexibility and allows transmission probabilities to be defined as a function of known attributes, or risk factors in an epidemic context. In this presentation we will see how GIIM works in two specific real-life outbreaks.
Both examples are embedded in a geographical and temporal setting. The first one considers the 2015-2016 Zika virus outbreak in the Americas, where the countries and overseas territories of the continent form the nodes of the network and air travel routes define the links [2]. The second application models the 2009 H1N1 outbreak between the municipalities of Sweden, with links between the municipalities indicating frequent travel routes.
Our first goal in both of these studies is to discover the relationship between the transmission risk between geographical units and a variety of travel, environmental, meteorological and socioeconomic risk factors. Our second goal is to estimate the risk of exportation and importation of the diseases for the territories involved in these studies. We will show that the GIIM model is able to identify the most critical risk factors in both scenarios, and in the influenza study, it is able make predictions about future outbreaks with good accuracy.

REFERENCE:
1. A. Bóta, L. M. Gardner: A generalized framework for the estimation of edge infection probabilities. arXiv:1706.07532 (2017)
2. L. M. Gardner, A. Bóta, N. D. Grubaugh, K. Gangavarapu, M. U. G. Kramer: Inferring the risk factors behind the geographical spread and transmission of Zika in the Americas.PLoS Neglected Tropical Diseases. http://journals.plos.org/plosntds/article?id=10.1371/journal.pntd.0006194

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Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.

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

Vabljeni! 


sobota, 14. marec 2020 Online seminar: Using EEG for Emotion Experience Design in TV Commercials

V ponedeljek, 16. marca 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: 16. marec 2020 ob 16.00 na daljavo 

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavalja dostopate tako, da se povežete prek sledeče povezave: https://zoom.us/j/297328207

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PREDAVATELJ: Jordan Aiko DEJA
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Jordan Aiko Deja is a UX Practitioner with an HCI and AI background. He has led several teams and projects that have been used for various digital, innovative, and even AI-empowered products and initiatives used both locally and internationally. He has done work fusing HCI and AI that are currently being used in marketing, digital production, therapy, and many others. He is currently a computer science PhD student at UP FAMNIT.

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NASLOV: Using EEG for Emotion Experience Design in TV Commercials
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POVZETEK: 

TV Commercials are audio video segments played by paying advertisers in between the consumers' favorite shows. They are usually aired for marketing purposes especially towards selling specific products or services. In the process of creating TV Commercials, marketers, digital agencies undergo a rigorous process to validate various elements in the said audio video production. This process is usually tedious and time consuming. This report aims to present results of preliminary study that uses Electroencephalogram (EEG) as input in helping production team verify their marketing content. Target consumers for a specific commercial product underwent one-on-one semi-structured interviews and from viewing sessions where their EEG data were collected using the 5-channel EMOTIV Insight headset. To triangulate the emotion modeling phase, external observers referred to as coders annotated their emotions with the aid of emotion recognition via facial recognition. Initial Analysis of the interviews along with the early version of the model revealed several interesting points on visual and audio elements that triggered viewer valence. The collection of EEG data was also able to uncover a few insights that aided in the design of a better viewing experience for the target consumers. We intend to expand the findings in the future work to build a model from a bigger data and user base along with a wider array of emotions to choose from. Also, we intend to employ more advanced experiment designs to determine if we can directly correlate viewer experiences into actual product and commercial conversion.

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Vabljeni!


petek, 6. marec 2020 Aleš MAVER: Big data and the human genome

V ponedeljek, 9. marca 2020, bo ob 16.00 uri v prostorih Fakultete za matematiko, naravoslovje in informacijske tehnologije Univerze na Primorskem, Glagoljaška 8, Koper predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 9. marec 2020 ob 16.00 v FAMNIT-VP2

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PREDAVATELJ: dr. Aleš MAVER

Dr. Aleš Maver has been working in the field of human genetics since 2002, and in his work he focuses on research of complex diseases, bioinformatics and diagnostics of rare genetic disorders. After graduating from medical school in 2011, he continued with his PhD work on rare genetic variations in familial multiple sclerosis using sequence analysis of the complete set of genes in the human genome (exome sequencing). Since then, he's been dealing with the use of big genomic data to diagnose patients with rare diseases. To that end, in 2013, he participated in the establishment of the Centre for Mendelian Genomics, which now functions as a center that offers state-of-the-art technology and bioinformatics to diagnose genetic diseases and is involved in global genome-wide sequencing data initiatives. Today his main interests include identifying new genes for genetic diseases, improving the interpretation of genetic variants at the genomic level and improving the exchange of genomic data in Slovenia and Europe.

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NASLOV: Big data and the human genome

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POVZETEK:

New genomic technologies have, in the recent years, provided unimaginable opportunities for human genome investigations, and thus significant advances in disease diagnosis and the discovery of new genes and disease mechanisms. With new approaches, especially through next-generation sequencing, sequencing of the entire human genome has become significantly cheaper, faster and more accessible. At the same time, we require novel bioinformatic approaches and significantly greater computational capacity to process the large amounts of data generated using novel genetic technologies. In my talk, I would like to present how we are facing the new challenges of big data in the time of genomic medicine, how we use big data of genomic sequencing in the discovery of new genes for human hereditary diseases, and how the analysis of such data has become the basis of modern genetic diagnostics in Slovenia today.

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Predavanje bo potekalo v angleškem jeziku.

Vabljeni!


petek, 28. februar 2020 Julie DUCASSE: Interactive web documentary: audience reception and user engagement. A case study: iOtok.

V ponedeljek, 2. marca 2020, bo ob 16.00 uri v prostorih Fakultete za matematiko, naravoslovje in informacijske tehnologije Univerze na Primorskem, Glagoljaška 8, Koper predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 2. marec 2020 ob 16.00 v FAMNIT-VP2

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PREDAVATELJICA: Julie DUCASSE

Julie Ducasse holds a PhD in Human-Computer Interaction. She studied in France at The University of Toulouse. Since September 2018, she is a post-doctoral researcher at UP FAMNIT and works for the HICUP Lab.

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NASLOV: Interactive web documentary: audience reception and user engagement. A case study: iOtok.

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POVZETEK:

iOtok is an interactive web documentary directed by Miha Čelar, a Slovene documentary filmmaker. The documentary was distributed over 13 weeks in Slovenia and Croatia. Data were collected to better understand how people interacted and engaged with the documentary: Was interactivity efficient in engaging users? Were the social media successful in promoting the web-doc? In this seminar, we will present the key findings of the analysis of 20 000 sessions in terms of audience reception and user engagement.

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Predavanje bo potekalo v angleškem jeziku.

Vabljeni!


petek, 21. februar 2020 Peter ROGELJ: Parenchima: Magnetic resonance imaging biomarkers for chronic kidney disease

V ponedeljek, 24. februarja 2020, bo ob 16.00 uri v prostorih Fakultete za matematiko, naravoslovje in informacijske tehnologije Univerze na Primorskem, Glagoljaška 8, Koper predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 24. februar 2020 ob 16.00 v FAMNIT-VP2

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PREDAVATELJ: Peter ROGELJ

Peter Rogelj is an assistant professor at the Faculty of Mathematics, Natural Sciences and Information Technologies (FAMNIT) at the University of Primorska in Koper, Slovenia. His research includes medical image processing with a special interest in medical image registration. His goal here is to achieve the speed and accuracy of image processing algorithms that are required for use in medical practice. The most important strategies for achieving this goal are the application of prior knowledge, the use of artificial intelligence and the rigorous evaluation of algorithms.

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NASLOV: Parenchima: Magnetic resonance imaging biomarkers for chronic kidney disease

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POVZETEK:

In this seminar, we will present the COST action Parenchima and the activities related to the forthcoming meeting of its workgroup 2(WG2) that will take place in Koper on 3-4 March. The WG2 focuses on establishing a database of renal magnetic resonance imaging (MRI) data and on software algorithms for data processing. First, we will present a data storage solution provided by Quibim and problems that needed to be solved to enable the population of the database. Second, the software evaluation initiative will be presented focusing on the evaluation of renal dynamic MRI registration algorithms. Further information about the Parenchima action can be found on its homepage: https://renalmri.org/.

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Predavanje bo potekalo v angleškem jeziku.

Vabljeni!


sobota, 15. februar 2020 Domen ŠOBERL: Decentralized computation of homology in wireless sensor networks using spanning trees

V ponedeljek, 17. februarja 2020, bo ob 16.00  v prostorih Fakultete za matematiko, naravoslovje in informacijske tehnologije Univerze na Primorskem (Glagoljaška 8, Koper) predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 17. februar 2020 ob 16.00 v FAMNIT-VP2

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PREDAVATELJ: Domen ŠOBERL

Domen Šoberl is a teaching assistant at UP FAMNIT and is currently finishing his PhD thesis at the Faculty of Computer and Information Science in Ljubljana. Research interests: artificial intelligence, agent learning and planning, computational topology.

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NASLOV: Decentralized computation of homology in wireless sensor networks using spanning trees

POVZETEK:

Wireless Sensor Networks (WSN) are computer networks of small inexpensive sensor nodes with a limited computational power and often without positioning capabilities. They are deployed over an area of interest to perform some measuring tasks and communicate the results. When deployed arbitrarily, the information on signal coverage is crucial to asses the quality of deployment. A homological criteria has been proposed to guarantee a full coverage using only the connectivity data.
In this seminar I will present our decentralized algorithm to verify homology-based WSN coverage criteria. Individual nodes examine the homology of their immediate neighborhood. They organize themselves in a spanning tree formation and merge their local information up the tree. During the process, a simplicial complex known as Vietoris-Rips complex is constructed, which encodes certain information on the shape of the WSN coverage. The algorithm works in arbitrary network topology and its communication demands are suitable for low-bandwidth wireless sensor networks.

Predavanje bo potekalo v angleškem jeziku.

Vabljeni!


petek, 31. januar 2020 Maheshya WEERASINGHE: Investigating the impact of different techniques towards project users themselves in a new environment using their cognitive, emotional and actionable responses

V ponedeljek, 3. februarja 2020, bo ob 16.00 uri v prostorih UP FAMNIT (Glagoljaška 8, Koper)
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE 
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 3. februar 2020 ob 16.00 v FAMNIT-VP2 

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PREDAVATELJ: Maheshya WEERASINGHE

Maheshya Weerasinghe, Second-year Computer Science PhD student, FAMNIT University of Primorska and University of St. Andrews, UK. Research interests: Human-Computer Interaction, Extended Realities, Learning, and Knowledge Retention.

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NASLOV: Investigating the impact of different techniques towards project users themselves in a new environment using their cognitive, emotional and actionable responses
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POVZETEK: 

This study is mainly focused on investigating how the different techniques which architects would use to convey their ideas of architectural designs (new building) enable future occupants/users to project themselves in their new building.
To do that, we compare three different presentation techniques:
- Floor plans (paper-based) with 3D rendered still images of the building
- Standard desktop/mouse setup showing the 3D designed environment of the building
- HMD display showing the immersive virtual environment of the building
The reason behind this evaluation is to compare current practices/conventional method (Floor plans with 3D rendered still images) vs methods that could be widespread in the near future (Desktop and HMD). These innovative techniques may have some benefits, notably by triggering a higher sense of presence. But we need to be sure that they enable future occupants/users to understand their new building and that they also enable them to project themselves in their new space.

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Predavanje bo potekalo v angleškem jeziku.

Vabljeni!