tstanislawek/MI2DataLab_Seminarium

Materiały z seminariów prowadzonych w MI^2 DataLabie.

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Materials from the weekly seminar of the MI^2 group

We meet every Monday, at 10 AM in MI^2 DataLab (room 044, Faculty of Mathematics and Information Science, Warsaw University of Technology) or online.

Join us at https://meet.drwhy.ai (or https://meet.google.com/nno-okiz-bxy).

Year 2021/2022

Spring semester

2022-06-13 Summary of the seminar and ongoing matters
2022-06-06 TBA - Weronika Hryniewska
2022-05-30 Industrial PhD (lesson learned) - Tomasz Stanisławek
2022-05-23 Hyperparameter optimization with Reinforcement Learning - Bartek Sobieski
2022-05-16 Monitoring of AI regulations using natural language processing - Stanisław Giziński & Stanisław Łaniewski
2022-05-09 Extensions of the SHAP method: using Shapley value to interpret models with dependencies and survival analysis models - Mateusz Krzyziński
2022-04-25 Comparative analysis of veins and arteries used in coronary artery bypass grafting. PhD Thesis - Piotr Zawierucha
2022-04-11 ~~Monitoring of AI regulations using natural language processing - Stanisław Giziński~~
2022-04-04 🎉 PhD defense (11-14 am) - Tomasz Stanisławek
2022-03-28 Running services and calculations in our Kubernetes cluster - Piotr Piątyszek
2022-03-21 Hybrid model of Fuzzy Cognitive Map - Decision Tree in making medical decisions - Hoang Thien Ly
2022-03-14 Duel-based Deep Learning system for solving IQ tests - Paulina Tomaszewska
2022-03-07 Expected goal (xG) models and XAI - Mustafa Cavus
2022-02-28 Organisation of the seminar and ongoing matters

Fall semester

2022-01-31 Impact of Imperfect Diagnostic Tests in ME/CFS Association Analyses - João Malato
2022-01-24 Models selecting prototypes with ProtoPNet - Adam Kozłowski
2022-01-17 Bayesian Optimization with a Prior for the Optimum - Bartłomiej Sobieski
2022-01-10 Evaluating explanations - Hubert Baniecki
2022-01-03 Explanations of multimodal neural networks - Piotr Czarnecki
2021-12-20 NeurIPS2021 – takeaways - Paulina Tomaszewska
2021-12-13 Auto-sklearn:Automating Design Decisions in AutoML - Mustafa Cavus
2021-12-06 Malaria pipelines - Andre Fonseca
2021-11-29 Auto-sklearn: Portfolio Successive Halving in PoSH - Mustafa Cavus
2021-11-22 MONAI framework for deep learning in healthcare imaging - Michał Sokólski
2021-11-15 Multi-fidelity optimization - Kasia Woźnica
2021-11-08 Stream data analysis - Kamil Wereszczyński
2021-10-25 Auto-sklearn: problem statement + challenge description - Kasia Woźnica
2021-10-18 How to increase the visibility of a statistician in the modern world of collaborative research? - Nuno Sepúlveda
2021-10-11 Multivariate data vis, Linear projections, and their application to local explanations of models - Nicholas Spyrison
2021-10-04 Organisation of the seminar

Rok 2020/2021

Semestr letni

MI2 Summer CONF August 2, 2021 - Conference Book

SUCCESSful data visualization using International Business Communication Standard - Bartosz Sawicki, Kinga Ułasik

triplot4python: the remedy for dealing with correlated features in explanations - Mateusz Krzyziński , Artur Żółkowski

The medLIME algorithm - Adrianna Grudzień

Multitasking and transfer learning capabilities in Deep Learning - Maria Kałuska

Guide through jungle of models! forester: An R package to automatically select between tree-based models - Hoang Thien Ly, Szymon Szmajdziński

FairPANs - bringing fairness to neural networks - Hubert Ruczyński

metaMIMIC: an analysis of hyperparameter transfer possibilities for tabular data using MIMIC-IV database - Mateusz Grzyb , Zuzanna Trafas

Monitoring of AI regulation - Stanisław Giziński

Wakacyjny Klub Dyskusyjny, czwartki o 10:00

2021-06-17 MI2 responsible AI talks - An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department - Farah Shamout & DeCoviD team at 1 p.m.
2021-06-14 Podsumowanie roku
2021-06-07 What Will You Tell Me About the Chart? - Recognition and Description Process - Karolina Seweryn, Katarzyna Lorenc
2021-05-31 Robustness in Computer Vision - Sebastian Cygert
2021-05-24 Protagonists’ Catcher in Novels - A Dataset and A Tool - Weronika Łajewska
2021-05-19 Cross-validation: what does it estimate and how well does it do it? - Alicja Gosiewska
2021-05-17 The deriving of a computational approach test for testing equality of several populations’ means in the presence of nuisance parameter - Mustafa Cauvus
2021-05-10 Monitor wariantów SARS-CoV-2 - Hubert Baniecki, Piotr Piątyszek, Hanna Zdulska
2021-04-26 Towards Explainable AutoML: xAutoML - Marius Lindauer
2021-04-19 MI2DataLab against Covid19
2021-04-12 Generative Adversarial Network in Medical Imaging - Weronika Hryniewska
2021-03-29 Marginal Attribution by Conditioning on Quantiles - Anna Kozak
2021-03-22 Beyond Fairness: Towards a Just, Equitable, and Accountable Computer Vision - Piotr Czarnecki
2021-03-15 Discussion on reviewing conference papers
2021-03-08 MIMIC III - Medical Information Mart for Intensive Care - Katarzyna Kobylińska
2021-03-01 Cleora - Barbara Rychalska
2021-02-22 Gonito & Information extraction challenges and their evaluation - Filip Graliński

Semestr zimowy

2021-01-25 Seminarium organizacyjne
2021-01-18 Transfer Learning of pre-trained CNN representations - Michał Sokólski
2021-01-11 Adversarial attacks on Explainable AI methods - Hubert Baniecki, Wojciech Kretowicz
2020-12-21 Podsumowanie roku 2020
2020-12-14 Towards explainable meta-learning - Kasia Woźnica
2020-12-07 Responsible AI & H2O - Jean-Matthieu SCHERTZER
2020-11-30 XAI for image based COVID-19 detection - Weronika Hryniewska
2020-11-23 Looking to listen: Audio separation and localization with visual clues - Piotr Czarnecki
2020-11-16 Interpretable Machine Learning with application to Credit Scoring - Alicja Gosiewska
2020-11-09 XAI in medicine - Katarzyna Kobylińska
2020-11-02 Graph-based Recommendation Systems - Barbara Rychalska
2020-10-26 2020 NLP trends & UniCase - Rethinking Casing in Language Models - Tomasz Stanisławek
2020-10-19
- Arena - the universal dashboard for models exploration & Telemetry - API for collecting anonymized data from DrWhy.AI tools - Piotr Piątyszek
- fairmodels - flexible tool for bias detection, visualization, and mitigation - Jakub Wiśniewski
2020-10-12
- Autumn update - Hubert Baniecki
- Landscape of R packages for eXplainable Artificial Intelligence - Szymon Maksymiuk
2020-10-05 Seminarium organizacyjne

Rok 2019/2020

Semestr letni

Semestr zimowy

2020-01-27
- flashlight czyli prześwietlanie czarnych skrzynek - Alicja Gosiewska
- Wyjaśnialny ML w naukach medycznych - Kasia Kobylińska
2020-01-20
- The World of Decisions - Stanisław Łaniewski
- ACL, ICONIP - Barbara Rychalska, Dominika Basaj
2020-01-13 ARA: accurate, reliable and active histopathological image classification framework with Bayesian deep learning - Łukasz Rączkowski
2019-12-16 Podsumowanie roku
2019-12-09 How can we discover a biomarker for Chronic Fatigue Syndrome? - Nuno Sepúlveda
2019-12-02
- Multiple Defaults - Kasia Woźnica
- Internships - Michał Kuźba
2019-11-25 Neural Machine Translation: achievements, challenges and the way forward - Barbara Rychalska
2019-11-18 CONLL & EMNLP - Tomasz Stanisławek
2019-10-28 Inpainting - Weronika Hryniewska
2019-10-21 Analiza dźwięku - Piotr Czarnecki
2019-10-07
- Elo - Kasia Woźnica
- Funnel plot - Szymon Maksymiuk
2019-09-30 Seminarium organizacyjne

Rok 2018/2019

Semestr letni

2019-06-10 - Podsumowanie roku
2019-06-03 - Analiza danych marketingowych - Adrian Foltyn
2019-05-27 - Adversarial training on text datasets - Kamil Grabowski
2019-05-20 - Mini-hackaton dot. wizualizacji modeli
2019-05-13 - Mikrosegmentacja - Adam Dobrakowski
2019-05-06 - Przyczynowość - Mateusz Kobos
2019-04-29 - Optymalizacja bayesowska - Michał Burdukiewicz
2019-04-15 - Tunability: Importance of Hyperparameters of Machine Learning Algorithms - Alicja Gosiewska
2019-04-08 - Feast - Przemysław Biecek
2019-04-01 - Named Entity Recognition - is there a glass ceiling? - Tomasz Stanisławek
2019-03-25 - Artykuł na ACL - Dominika Basaj i Alicja Gosiewska.
2019-03-18 - ExplainPrediction & sales example - Mateusz Staniak
2019-03-11 - TFML - Michał Kuźba
2019-03-04 - Explaining Classifications for Individual Instances - Katarzyna Kobylińska
2019-02-25 - Bioinformatyka - Michał Burdukiewicz
2019-02-18 - Seminarium organizacyjne

Semestr zimowy

2019-01-28 - Przegląd prac z konferencji FATML - Dominika Basaj
2019-01-21 - Wizualna eksploracja modeli - Agnieszka Ciepielewska
2019-01-14 - NA - Alicja Gosiewska
2019-01-07 - Propensity Weighting to Investigate Health Disparities and Assess Indirect Effects - Chris Drake, UC Davis
2018-12-10 - Przewidywanie właściwości sekwencji biologicznych w oparciu o analizę n-gramów - Michał Burdukiewicz
2018-12-03 - Wrażenia z Krakowa - Alicja Gosiewska, Mateusz Staniak
2018-11-26 - EMNLP Conference Highlights - Dominika Basaj
2018-11-19 - Atencja - Tomasz Stanisławek
2018-11-12 - Wolne (100-lecie dnia po odzyskaniu niepodległości)
2018-11-5, 2018-11-6 - Christoph Molnar (LMU), Alicja Gosiewska, Przemysław Biecek, Klasyfikacja tekstów z użyciem Transfer Learning i Active Learning - Michał Kuźba (seminarium robocze)
2018-10-29 - Mythos of Interpretability - Mateusz Staniak
2018-10-22 - The Family of Relief algorithms - Alicja Gosiewska
2018-10-15 - Concept drift & IML - Mateusz Staniak, Przemyslaw Biecek
2018-10-8 - Interpretability & Security in NLP models - Dominika Basaj

Rok 2017/2018