V tomto adresári nájdete:
- materiály zo stretnutí komunity DAM na UPJŠ
- Stránka komunity: https://dam.science.upjs.sk/
- Facebook: https://www.facebook.com/DAMupjs/
- Stránka nového študijného programu ADUI: https://ics.science.upjs.sk/adui/
Stretnutia v akademickom roku 2020/2021:
| P.č. | Dátum | Téma | Prednášajúci |
|---|---|---|---|
| 01 | 23.09.2020 | Serve Your ML Models in AWS Using Python (ONLINE MLMU) Video | Václav Košař |
| 02 | 21.10.2020 | Sentiment Analysis for Social Media (ONLINE MLMU) Video | Jan Rus |
| 03 | 04.11.2020 | Reinforcement learning 1: deep Q networks (ONLINE MLMU) Video | Michal Chovanec |
| 04 | 02.12.2020 | Mining and predicting processes (ONLINE MLMU) Video | Ondrej Brichta |
| 05 | 13.01.2021 | Thoth: Reinforcement learning-based dependency resolution (ONLINE MLMU) Video | Fridolin Pokorny |
| 06 | 28.01.2021 | AI Research in Seznam.cz (ONLINE MLMU) Video | Xenia Shakurova, Ondrej Filip, O. Bednar & M. Soukup, Jan Vrsovsky |
| 07 | 08.04.2021 | MLOps and DataOps techniques using Databricks (ONLINE MLMU) Video | Marton Hubay, Priyan Chandrapala, Nikolay Vaklinov |
| 08 | 21.04.2021 | MLOps: Building feature stores and ML production pipelines (ONLINE MLMU) | Yury Kasimov, Joao Da Silva, Jiří Koutný |
| 09 | 26.05.2021 | Key factors of successful MLOps (ONLINE MLMU) Video | Wioletta Stobieniecka, Michal Marusan, Dorian Hodorogea |
| 10 | 07.06.2021 | D<AI>DALOS – From Automation to Intelligence: The Long History of AI (ONLINE MLMU) Video | Nathan Ensmenger |
| 11 | 24.06.2021 | D<AI>DALOS – Post-Human Creativity: The Use of AI in Art (ONLINE MLMU) Video | Filippo Lorenzin, Garrett Lynch, Paul Mouginot, Iskra Velitchkova |
Stretnutia v akademickom roku 2019/2020:
| P.č. | Dátum | Téma | Prednášajúci |
|---|---|---|---|
| 01 | 25.09.2019 | 3D Human Body Reconstruction using Generative Adversarial Networks | Gergely Magyar, Filip Hendrichovský, Mária Virčíková |
| 02 | 09.10.2019 | Physics-inspired approach to efficient and automated gap filling in massive spatial data | Milan Žukovič |
| 03 | 16.10.2019 | An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling | Reading Group |
| 04 | 23.10.2019 | Business & AI | Tomáš Bel |
| 05 | 30.10.2019 | Attention Augmented Convolutional Networks | Reading Group |
| 06 | 06.11.2019 | Computer vision applications of Deep Learning | Stanislav Hrivňak, Ondrej Palkoci |
| 07 | 13.11.2019 | Densely Connected Convolutional Networks | Reading Group |
| 08 | 20.11.2019 | Time series - a different beast | Róbert Tóth |
| 09 | 27.11.2019 | Anomaly Detection : A Survey (p.1 - p.30) | Reading Group on Anomaly Detection |
| 10 | 04.12.2019 | Data analysis for cybersecurity and new challenges | Ladislav Bačo |
| 11 | 11.12.2019 | Anomaly Detection : A Survey (p.31 - end) | Reading Group on Anomaly Detection |
| 12 | 08.01.2020 | Neural Turing Machines | Reading Group |
| 13 | 23.01.2020 | The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks | Reading Group |
| 14 | 06.02.2020 | Outlier Exposure with Confidence Control for Out-of-Distribution Detection | Reading Group |
| 15 | 12.02.2020 | Text detection and recognition in natural scene images - a real challenge | Peter Bugata, Dávid Hudák |
| 16 | 20.02.2020 | NISP: Pruning Networks using Neuron Importance Score Propagation | Reading Group |
| 17 | 26.02.2020 | Formal concept analysis (FCA) and its basic tools | Ondrej Krídlo |
| 18 | 05.03.2020 | Normalizing Flows for Probabilistic Modeling and Inference | Reading Group |
| 19 | 31.03.2020 | Gestalt principles in Data Visualisation (ONLINE MLMU) Video | Anastázie Sedláková |
| 20 | 21.04.2020 | Optimization for Machine Learning: From Theory to Practice and Back (ONLINE MLMU) Video | Filip Hanzely |
| 21 | 19.05.2020 | Understanding machine learning with statistical physics (ONLINE MLMU) Video | Lenka Zdeborová |
| 22 | 03.06.2020 | Large-scale forecasting & Free text clustering (ONLINE MLMU) Video | Michał Kurcewicz, Tetyana Holets |
| 23 | 18.06.2020 | AI technology works differently from our brains (ONLINE MLMU) Video | Danko Nikolić |
| 24 | 30.06.2020 | Under the Hood of Smart Quarantine: Data and Memory Maps (ONLINE MLMU) Video | Petr Bednařík, Ondřej Tomas, Vojta Tůma |
Stretnutia z akademického roka 2018/2019:
Na stretnutiach Deep Learning Reading Group sa čítala kniha dostupná na nasledijúcom linku: http://www.deeplearningbook.org/
| P.č. | Dátum | Téma | Prednášajúci |
|---|---|---|---|
| 01 | 19.09.2018 | New Age of Artificial Intelligence | Marián Dvorský |
| 02 | 03.10.2018 | Spectral Clustering | Erik Bruoth |
| 03 | 10.10.2018 | Applications of spectral clustering | Erik Bruoth |
| 04 | 17.10.2018 | Practical Machine Learning | Peter Štrauch |
| 05 | 24.10.2018 | Save the vineyard: Part 1 | Stanislav Hrivňak |
| 06 | 07.11.2018 | Save the vineyard: Part 2 | Stanislav Hrivňak |
| 07 | 14.11.2018 | Spectral bandits for smooth graph functions | Tomáš Kocák |
| 08 | 21.11.2018 | Machine learning in astronomy: why and how? | Michal Čokina |
| 09 | 28.11.2018 | 3D modeling of the countryside | Ján Kaňuk |
| 10 | 05.12.2018 | From fighting cancer to recognising landmarks | Daniel Kuchta |
| 11 | 12.12.2018 | Marriage of neuroscience and robotics | Keerthi Doreswami |
| 12 | 19.12.2018 | Neurónové siete a geomagnetické búrky | Gabriela Andrejková |
| 13 | 20.02.2019 | The power of graphs in speeding up online learning and decision making | Michal Valko |
| 14 | 25.02.2019 | Automation of Data Science | Tomas Horvath |
| 15 | 20.03.2019 | Way from convolution neural network to artificial inteligence | Juraj Kundrik |
| 16 | 10.04.2019 | The Doctor in the Machine + Hack Kosice 2019 Report | Jozef Kiseľák |
| 17 | 09.05.2019 | Deep Learning for Natural Language Processing | Peter Bednar |
| 18 | 30.05.2019 | MLMU KE: Introduction to Deep Reinforcement Learning | Slavo Matasovsky |
| 19 | 19.06.2019 | Depth separation for neural networks | Tomáš Kocák |
