#Accepted Talks

A Bayesian Nonparametrics View into Deep Representations
Michał Jamroż (AGH University of Science and Technology), Marcin Kurdziel (AGH University of Science and Technology)

Application of Machine Learning for multi-phase flow pattern recognition
Rafał A. Bachorz (PSI Polska Sp. z o.o.), Adam Karaszewski (PSI Polska Sp. z o.o.), Grzegorz Miebs (PSI Polska Sp. z o.o.)

Beautiful Mind and RTB Auctions
Piotr Sankowski (MIM Solutions, IDEAS NCBR & University of Warsaw), Piotr Wygocki (MIM Solutions), Adam Witkowski (MIM Solutions), Michał Brzozowski (MIM Solutions)

Cell-counting in human embryo time-lapse monitoring
Piotr Wygocki (MIM Solutions & University of Warsaw), Michał Siennicki (MIM Solutions), Tomasz Gilewicz (MIM Solutions), Paweł Brysch (MIM Solutions)

Color recognition should be simple - but isn’t - case study of player clustering in football.
Marcin Tuszyński (Respo.Vision), Łukasz Grad (MIMUW & Respo.Vision), Wojtek Rosiński (Respo.Vision)

Crisis Situation Assessment Using Different NLP Methods
Agnieszka Pluwak (SentiOne), Emilia Kacprzak (SentiOne), Michał Lew (SentiOne), Michał Stańczyk (SentiOne), Aleksander Obuchowski (Talkie.ai)

Deep learning for decoding 3D hand translation based on ECoG signal
Maciej Śliwowski (Univ. Grenoble Alpes, France), Matthieu Martin (Univ. Grenoble Alpes, France), Antoine Souloumiac (Université Paris-Saclay, France), Pierre Blanchart (Université Paris-Saclay, France), Tetiana Aksenova (Univ. Grenoble Alpes, France)

Detection of faulty specimen made of Carbon fiber composites with deep learning and non-destructive testing techniques
Marek Sawicki (Wroclaw University of Science and Technology), Damian Pietrusiak (Wroclaw University of Science and Technology), Mariusz Ptak (Wroclaw University of Science and Technology)

Foundations of Interpretable and Reliable Reinforcement Learning
Jacek Cyranka (University of Warsaw, Institute of Informatics)

Generative models in continual learning
Kamil Deja (Warsaw University of Technology), Wojciech Masarczyk (Warsaw University of Technology), Paweł Wawrzyński (Warsaw University of Technology), Tomasz Trzciński (Warsaw University of Technology)

From Big Data to Semantic Data in Industry 4.0
Szymon Bobek (Jagiellonian University), Grzegorz Nalepa (Jagiellonian University)

Law, Graphs and AI
Adam Zadrożny (National Centre for Nuclear Research)

Let's open the black box! Hessian-based toolbox for interpretable and reliable machines learning physics
Anna Dawid (University of Warsaw & ICFO), Patrick Huembeli (EPFL — École polytechnique fédérale de Lausanne), Michał Tomza (Faculty of Physics, University of Warsaw), Maciej Lewenstein (ICFO - The Institute of Photonic Sciences, Barcelona), Alexandre Dauphin (ICFO - The Institute of Photonic Sciences, Barcelona)

LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood
Piotr Tempczyk (University of Warsaw), Rafał Michaluk (University of Warsaw), Adam Goliński (University of Oxford), Przemysław Spurek (Jagiellonian University), Jacek Tabor (Jagiellonian University)

LOGAN: Low-latency, On-device, GAN Vocoder
Dariusz Piotrowski (Amazon), Mikołaj Olszewski (Amazon), Arnaud Joly (Amazon)

Manipulating explainability and fairness in machine learning
Hubert Baniecki (MI2DataLab, Warsaw University of Technology)

Multiscale Reweighted Stochastic Embedding (MRSE): Deep Learning of Generalized Variables for Statistical Physics
Jakub Rydzewski (Nicolaus Copernicus University)

Neural network-based left ventricle geometry prediction from CMR images with application in biomechanics
Agnieszka Borowska (University of Glasgow), Lukasz Romaszko (University of Glasgow), Alan Lazarus (University of Glasgow), David Dalton (University of Glasgow), Colin Berry (British Heart Foundation and University of Glasgow), Xiaoyu Luo (University of Glasgow), Dirk Husmeier (University of Glasgow), Hao Gao (University of Glasgow)

Self-attention based encoder models for strong lens detection
Hareesh Thuruthipilly (National Centre of Nuclear Research, Poland), Adam Zadrożny (National Centre of Nuclear Research, Poland), Agnieszka Pollo (National Centre of Nuclear Research, Poland)

Synerise at KDD Cup 2021: Node Classification in massive heterogeneous graphs
Michał Daniluk (Synerise), Michał Daniluk (Synerise), Jacek Dąbrowski (Synerise), Barbara Rychalska (Synerise), Konrad Gołuchowski (Synerise)

Time aspect in making an actionable prediction of a conversation breakdown
Piotr Janiszewski (Poznań University of Technology), Mateusz Lango (Poznań University of Technology), Jerzy Stefanowski (Poznań University of Technology)


#Accepted Posters

Poster 01: Automated bias detection in polish media
Stanisław Bogdanowicz (University of Warsaw)

Poster 02: MAIR: Framework for mining relationships between research articles, strategies, and regulations in the field of explainable AI
Stanisław Giziński (MI2 Data Lab), Michał Kuźba (MI2 Data Lab), Bartosz Pieliński (University of Warsaw), Julian Sienkiewicz (Warsaw University of Technology), Przemysław Biecek (MI2 Data Lab)

Poster 03: Application of Machine Learning Techniques to Recipe Processing and Analysis
Bartłomiej Gajda (Warsaw University of Technology), Michał Grzeszczyk (Warsaw University of Technology)

Poster 04: Factors determining return rates rates of return on shares of banks listed on the Warsaw Stock Exchange
Bartosz Szabłowski (Nestlé)

Poster 05: Information Extraction from Historic Sources for the Costumology Purposes
Urszula Kuczma (University of Warsaw), Marcin Lewandowski (University of Warsaw)

Poster 06: IPC 2.0: prediction of isoelectric point and pKₐ dissociation constants
Lukasz P. Kozlowski (University of Warsaw)

Poster 07: Guide through jungle of models! forester: An R package to automatically select between tree-based models
Anna Kozak (MI2DataLab, Warsaw University of Technology), Hoang Thien Ly (Warsaw University of Technology), Szymon Szmajdziński (Warsaw University of Technology), Przemysław Biecek (Warsaw University of Technology)

Poster 08: An Imitation learning approach for the task of coronary artery centerline extraction from CT volumes
Bartłomiej Cupiał (LifeFlow), Tomasz Konopczyński (LifeFlow), Piotr Miłoś (University of Warsaw)

Poster 09: Optimising N-BEATS for the NVIDIA Time-Series Prediction Platform
Jolanta Mozyrska (University of Warsaw), Tomasz Cheda (University of Warsaw)

Poster 10: Generative Gaussian Mixture Models for Data Imbalance
Iwo Naglik (Poznan University of Technology), Mateusz Lango (Poznan University of Technology)

Poster 11: Artefact removal from 3D coronary artery segmentation from CT via point cloud neural network
Patryk Rygiel (LifeFlow), Tomasz Konopczyński (LifeFlow), Maciej Zięba (Tooploox, Wrocław University of Science and Technology)

Poster 12: metaMIMIC: analysis of hyperparameter transferability for tabular data using MIMIC-IV database
Katarzyna Woźnica (Mi2DataLab, Warsaw University of Technology), Mateusz Grzyb (Warsaw University of Technology), Zuzanna Trafas (Poznan University of Technology), Przemysław Biecek (Warsaw University of Technology)

Poster 13: Estimating the Secondary Attack Rate of COVID-19 using Twitter data
Tomasz Czernuszenko (University College London), Ingemar Cox (University College London), Vasileios Lampos (University College London), Elad Yom-Tov (Microsoft Israel)

Poster 14: Sobriety detection by voice analysis using machine learning methods
Mikołaj Najda (AGH University of Science and Technology), Jakub Żółkoś (Boston University), Daria Hemmerling (AGH University of Science and Technology)

Poster 15: Fact-checking must go on!
Albert Sawczyn (Politechnika Wrocławska), Denis Janiak (Politechnika Wrocławska), Jakub Binkowski (Politechnika Wrocławska), Łukasz Augustyniak (Politechnika Wrocławska), Tomasz Kajdanowicz (Politechnika Wrocławska)

Poster 16: Deep Neural Network Approach to Predict Properties of Drugs and Drug-Like Molecules
Magdalena Wiercioch (Jagiellonian University), Johannes Kirchmair (University of Vienna)

Poster 17: Explainable AI for Photon Science Data Reduction
Barbara Klaudel (Deutsches Elektronen-Synchrotron), Shah Nawaz (Deutsches Elektronen-Synchrotron), Vahid Rahmani (Deutsches Elektronen-Synchrotron), David Pennicard (Deutsches Elektronen-Synchrotron), Heinz Graafsma (Deutsches Elektronen-Synchrotron)

Poster 18: DECA: Deep viewpoint-Equivariant human pose estimation using Capsule Autoencoders
Piotr Bródka (University of Trento, Clebre), Nicola Garau (University of Trento), Niccolo Bisagno (University of Trento), Nicola Conci (University of Trento)

Poster 19: Bayesian inference of cell type proportions in mouse brain and prostate cancer data
Agnieszka Geras (MiNI PW), Shadi Darvish Shafighi (MIMUW), Łukasz Rączkowski (MIMUW), Igor Filipiuk (MIMUW), Łukasz Rączkowski (MIMUW), Hosein Toosi (KTH Royal Institute of Technology), Leszek Kaczmarek (Nencki Institute of Experimental Biology of the PolishAcademy of Sciences), Łukasz Koperski (Medical University of Warsaw), Jens Lagergren (KTH Royal Institute of Technology), Dominika Nowis (Medical University of Warsaw), Ewa Szczurek (MIMUW)

Poster 20: An efficient manifold density estimator for all recommendation systems
Adam Jakubowski (Synerise.com), Jacek Dąbrowski (Synerise.com), Barbara Rychalska (Synerise.com), Michał Daniluk (Synerise.com), Dominika Basaj (Synerise.com)

Poster 21: Universal Neural Vocoding and improving its expressiveness with non-affine Normalizing Flows
Adam Gabryś (Alexa AI), Yunlong Jiao (Alexa AI), Viacheslav Klimkov (Alexa AI), Daniel Korzekwa (Alexa AI)

Poster 24: Writing saves you time, build Zettelkasten!
Piotr Januszewski (Gdańsk University of Technology)

Poster 25: Analysis of sentiment of COVID19-related articles from two of the biggest polish media news websites: TVN24 and TVP Info
Jędrzej Miecznikowski (Uniwersity of Warsaw), Wiktoria Dołębska (University of Warsaw)

Poster 27: Mbaza - machine learning used in wildlife protection. Case study
Jędrzej Świeżewski (Appsilon)

Poster 28: Scalable Intent Classification: Embeddings vs. Classifier
Helena Skowrońska (Shopai Sp. z o.o.), Arleta Staszuk (Shopai Sp. z o.o.), Paweł Wnuk (Shopai Sp. z o.o.)

Poster 30: A/B testing with challenging KPIs. Going beyond standard tests.
Armin Reinert (Empik Group), Kaja Marmołowska (Empik Group)

Poster 34: A short dive into active learning and various informativeness measures.
Antoni Jamiołkowski (QED Software)

Poster 35: What we can learn from a data mining competition results? A case study at KnowledgePit.
Maciej Matraszek (QED Software, University of Warsaw), Andrzej Janusz (QED Software, University of Warsaw)

Poster 36: The Session-Based kNN implementation in TensorFlow
Szymon Moliński (Sales Intelligence)

Poster 40: Metric Learning for Session-based Recommendations
Szymon Zaborowski (Sales Intelligence Sp. z o.o.), Bartłomiej Twardowski (Warsaw University of Technology), Paweł Zawistowski (Warsaw University of Technology)