Ponedeljkov seminar računalništva in informatike - Arhiv

nedelja, 25. junij 2023 Daniil BALDOUSKI: Managing and Optimizing Container Flow in Port Logistics

Jutri, v ponedeljek, 26. junija 2023, 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: 26. junij 2023 ob 16.00 v FAMNIT-VP1.

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PREDAVATELJ: Daniil BALDOUSKI
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Daniil Baldouski is a first-year PhD student of Computer Science at UP FAMNIT.

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NASLOV: Managing and Optimizing Container Flow in Port Logistics
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POVZETEK: 

Efficient container management is pivotal to port logistics. In this seminar I will talk about integer linear programming and explain a method for optimizing truck scheduling within a port, using a mathematical model that facilitates concurrent tasks under specific constraints and capacity limitations. The model's efficiency will be showcased on simulated instances.

Seminar bo potekal v angleškem jeziku v predavalnici FAMNIT-VP1.

Vabljeni!

ponedeljek, 19. junij 2023 Daan LE ROUX: Digital Distraction, Online Vigilance and the Goldfish Hypothesis: Making sense of the impacts of technology on attention

V ponedeljek, 19. junija 2023, 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: 19. junij 2023 ob 16.00 v FAMNIT-VP2.

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PREDAVATELJ: Daan LE ROUX
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Dr. Daan le Roux heads up the Cognition and Technology Research Group at Stellenbosch University in South Africa. He studies various dimensions of the interaction between humans and technology with emphasis on the cognitive and behavioural processes by which humans, both individually and collectively, adopt and adapt to technologies, and how this impacts their performance and well-being. His research is interdisciplinary in nature and has been published in outlets across various domains including Information Systems, Psychology, Business Management and Education.

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NASLOV: Digital Distraction, Online Vigilance and the Goldfish Hypothesis: Making sense of the impacts of technology on attention
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POVZETEK:

Over the past two decades we have experienced the emergence of a media ecology characterized by the omnipresence of mobile computing devices that offer a rapidly expanding range of gratifying online experiences. As smartphone use volumes have steadily increased, online platforms have proliferated, creating an increasingly competitive attention economy. A growing body of both popular and academic literature have raised concerns over the potential impacts of these developments for human wellbeing. One area which has received substantial attention concerns the effects that permanent online connectedness and constant media multitasking may have on cognitive control – i.e., our capacity to direct and sustain attention. Specifically, some studies have suggested that our behavior with technology may lead to the shortening of our attention spans. In this talk the state of empirical evidence in this domain is systematically reviewed with reference to recent studies of both the short and long-term effects of digital technology use on cognitive control.

Seminar bo potekal v angleškem jeziku v predavalnici FAMNIT-VP2.

Vabljeni!      

ponedeljek, 12. junij 2023 Nedim Šišić: Class Probability Distributions of a Neural Network Classifier of Multiple Sclerosis Lesions on Quantitative Susceptibility Mapping

V ponedeljek, 12. junija 2023, 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: 12. junij 2023 ob 16.00 v FAMNIT-VP2.

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PREDAVATELJ: Nedim ŠIŠIĆ
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Nedim Šišić is a 1st year PhD student of Computer Science at UP FAMNIT. He finished his master's studies in Computer Science at UP FAMNIT, and is now a teaching assistant at various computer science courses.

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NASLOV: Class Probability Distributions of a Neural Network Classifier of Multiple Sclerosis Lesions on Quantitative Susceptibility Mapping
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POVZETEK:

Multiple sclerosis (MS) is a demyelinating disease, in which the insulating myelin covers of nerve cells are damaged. Remyelination is a repair process that forms new myelin sheaths. MS lesion types are heterogeneous regarding myelin damage and repair and iron content, and may be classified histopathologically. Recently, quantitative susceptibility mapping (QSM) MRI has been shown to classify white matter MS lesions into demyelinated and remyelinated types in vivo. Furthermore, a neural network model demonstrates potential for automatic classification of such lesions into the types based on QSM. However, the model requires further classification accuracy increase and faces the problem of handling lesions unable to be classified by medical experts. The problem represents a significant hurdle for the potential use of the model in clinical scenarios. In this work, the class probability distributions of the model on different remyelinated, demyelinated, and unclassified lesion types are analyzed, to better understand its performance and estimate its behavior on unclassified lesions. The obtained results are important for improving the model and enabling its transition into medical practice.

Seminar bo potekal v angleškem jeziku v predavalnici FAMNIT-VP2.

Vabljeni! 

ponedeljek, 5. junij 2023 Nikolaus AUGSTEN: Data Management Meets Process Mining - Scaling Trace Clustering to Large Data

Tokrat izjemoma v sredo, 7. junija 2023, bo ob 14.30 uri izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 7. junij 2023 ob 14.30 v FAMNIT-VP3.

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PREDAVATELJ: Nikolaus AUGSTEN
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Nikolaus Augsten is a full professor in computer science at the University of Salzburg, where he heads the Database Group. He received his PhD from Aalborg University, Denmark, in 2008. His research deals with all aspects of data management. The focus is on queries over complex objects and massive data collections, data cleaning and integration, indexing techniques, query processing and optimization, distributed data management, and numerical computations in databases. His research is triggered by problems that arise in concrete applications, for example, process mining, digital humanities, or cognitive neuroscience. The results of his research have been published in the most prestigious outlets of the database field; for his work on top-k queries over tree data he received the ICDE 2010 Best Paper Award. He has served as a PC member or referee for all major database conferences and as an associate editor of the VLDB Journal.

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NASLOV: Data Management Meets Process Mining - Scaling Trace Clustering to Large Data
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POVZETEK:

With the broad adoption of process mining techniques in industry, process mining tools now face massive data volumes with process logs that can store hundreds of millions of activities. Process mining queries often require fast response times since the user interacts with a dashboard to gain business insights. To analyze business processes, the so-called traces of the processes are inspected. A trace is a sequence of activities observed in the process log. To facilitate the analysis, similar traces should be grouped into clusters using the well-known DBSCAN algorithm. Unfortunately, current trace clustering approaches do not scale to large collections of traces, neither in terms of runtime nor in terms of memory usage.
We present two novel techniques that solve the scalability issue of the trace clustering problem. (1) TwoL is a new, highly effective similarity index for traces. Compared to previous techniques, TwoL optimizes a cost function to gracefully adapt to different data distributions. (2) Spread is the first linear-space DBSCAN algorithm that can process data points in any user-defined order. This is required to leverage the full potential of trace indices. Previous approaches must precompute and materialize all neighborhoods of the data points, which requires quadratic space. With respect to the state of the art in trace clustering, our techniques reduce the memory complexity and achieve speedups of more than an order of magnitude.

Seminar bo potekal v angleškem jeziku s pričetkom ob 14:30 v predavalnici FAMNIT-VP3.

Vabljeni!      

petek, 2. junij 2023 Matija BIROV, Jan KANDUČ, Mojca BELAC: Risk Management at Intesa Sanpaolo Bank

V ponedeljek, 5. junija 2023, 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: 5. junij 2023 ob 16.00 v predavalnici FAMNIT-VP2

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PREDAVATELJI: Matija BIROV, Jan KANDUČ, Mojca BELAC
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The presentation will be held by Matija Birov, Chief Risk Officer, Jan Kanduč, Director of Risk Management, and Mojca Belac, Head of Credit Risk Monitoring, Controls and Validation

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NASLOV: Risk Management at Intesa Sanpaolo Bank
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POVZETEK:

What is risk management and how does it fit into the commercial banking business? What kind of tools and skills are needed for efficient risk management? What kind of knowledge and expertise are required for development of risk measurement systems? How much do banks rely on statistical analysis for day-to-day operations? Are the business decisions driven only by future profits or is there more to the story? Are the risk parameters (probability of default, loss given default, exposure at default) the only true indicators of your credit worthiness when applying for a loan?

These and many more questions related to the banking world will be discussed at the presentation.

Seminar bo potekal v živo v angleškem jeziku.

Vabljeni!