Przemyslaw Biecek

185 papers A* 7A 3B 4C 1Journal 133Unranked 30
YearRankTypeTitle / Venue / Authors
2026 J jnl
Analyzing the Temporal Factors for Anxiety and Depression Symptoms with the Rashomon Perspective.
CoRR
Mustafa Cavus, Przemyslaw Biecek, Julian Tejada, Fernando Marmolejo-Ramos, Andre Faro
2026 J jnl
Auditing Sybil: Explaining Deep Lung Cancer Risk Prediction Through Generative Interventional Attributions.
CoRR
Bartlomiej Sobieski, Jakub Grzywaczewski, Karol Dobiczek, Mateusz Wójcik, Tomasz Bartczak, Patryk Szatkowski, Przemyslaw Bombinski, Matthew Tivnan, Przemyslaw Biecek
2026 J jnl
SeFNet: Linking tabular datasets with semantic feature nets.
Inf. Fusion
Katarzyna Woznica, Piotr Wilczynski, Przemyslaw Biecek
2026 J jnl
Trojan horse hunt in deep forecasting models: Insights from the European Space Agency competition.
CoRR
Krzysztof Kotowski, Ramez Shendy, Jakub Nalepa, Agata Kaczmarek, Dawid Pludowski, Piotr Wilczynski, Artur Janicki, Przemyslaw Biecek, Ambros Marzetta, Atul Pande, Lalit Chandra Routhu, Swapnil Srivastava, Evridiki Vasileia Ntagiou
2025 A conf
Aggregated Attributions for Explanatory Analysis of 3D Segmentation Models.
WACV
Maciej Chrabaszcz, Hubert Baniecki, Piotr Komorowski, Szymon Plotka, Przemyslaw Biecek
2025 B conf
Beyond the Single-Best Model: Rashomon Partial Dependence Profile for Trustworthy Explanations in AutoML.
DS
Mustafa Cavus, Jan N. van Rijn, Przemyslaw Biecek
2025 J jnl
Beyond the Single-Best Model: Rashomon Partial Dependence Profile for Trustworthy Explanations in AutoML.
CoRR
Mustafa Cavus, Jan N. van Rijn, Przemyslaw Biecek
2025 J jnl
Birds look like cars: Adversarial analysis of intrinsically interpretable deep learning.
CoRR
Hubert Baniecki, Przemyslaw Biecek
2025 J jnl
Birds look like cars: adversarial analysis of intrinsically interpretable deep learning.
Mach. Learn.
Hubert Baniecki, Przemyslaw Biecek
2025 — conf
Deep Spatial Context: When Attention-Based Models Meet Spatial Regression (Digital Pathology).
AIME (1)
Paulina Tomaszewska, Elzbieta Sienkiewicz, Mai P. Hoang, Przemyslaw Biecek
2025 A* conf
Efficient and Accurate Explanation Estimation with Distribution Compression.
ICLR
Hubert Baniecki, Giuseppe Casalicchio, Bernd Bischl, Przemyslaw Biecek
2025 J jnl
Explaining Similarity in Vision-Language Encoders with Weighted Banzhaf Interactions.
CoRR
Hubert Baniecki, Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier, Przemyslaw Biecek
2025 J jnl
Explaining and visualizing black-box models through counterfactual paths.
Pattern Anal. Appl.
Bastian Pfeifer, Mateusz Krzyzinski, Hubert Baniecki, Andreas Holzinger, Przemyslaw Biecek
2025 J jnl
Exploring local explanations of nonlinear models using animated linear projections.
Comput. Stat.
Nicholas Spyrison, Dianne Cook, Przemyslaw Biecek
2025 J jnl
Fake or Real: The Impostor Hunt in Texts for Space Operations.
CoRR
Agata Kaczmarek, Dawid Pludowski, Piotr Wilczynski, Krzysztof Kotowski, Ramez Shendy, Evridiki Vasileia Ntagiou, Jakub Nalepa, Artur Janicki, Przemyslaw Biecek
2025 — conf
From Input to Insight: Probing the Reasoning of Attention-Based MIL Models.
xAI (3)
Paulina Tomaszewska, Michal Gozdera, Elzbieta Sienkiewicz, Przemyslaw Biecek
2025 — conf
Glocal Explanations of Expected Goal Models in Football.
xAI (5)
Mustafa Cavus, Adrian Stando, Przemyslaw Biecek
2025 J jnl
Interpretable machine learning for time-to-event prediction in medicine and healthcare.
Artif. Intell. Medicine
Hubert Baniecki, Bartlomiej Sobieski, Patryk Szatkowski, Przemyslaw Bombinski, Przemyslaw Biecek
2025 A* conf
Interpreting CLIP with Hierarchical Sparse Autoencoders.
ICML
Vladimir Zaigrajew, Hubert Baniecki, Przemyslaw Biecek
2025 J jnl
Interpreting CLIP with Hierarchical Sparse Autoencoders.
CoRR
Vladimir Zaigrajew, Hubert Baniecki, Przemyslaw Biecek
2025 J jnl
Investigating the impact of balancing, filtering, and complexity on predictive multiplicity: A data-centric perspective.
Inf. Fusion
Mustafa Cavus, Przemyslaw Biecek
2025 — conf
Latent Space Interpretation and Mechanistic Clipping of Subject-Specific Variational Autoencoders of EEG Topographic Maps for Artefacts Reduction.
xAI (3)
Taufique Ahmed, Przemyslaw Biecek, Luca Longo
2025 — conf
MASCOTS: Model-Agnostic Symbolic COunterfactual Explanations for Time Series.
ECML/PKDD (4)
Dawid Pludowski, Francesco Spinnato, Piotr Wilczynski, Krzysztof Kotowski, Evridiki Vasileia Ntagiou, Riccardo Guidotti, Przemyslaw Biecek
2025 J jnl
MASCOTS: Model-Agnostic Symbolic COunterfactual explanations for Time Series.
CoRR
Dawid Pludowski, Francesco Spinnato, Piotr Wilczynski, Krzysztof Kotowski, Evridiki Vasileia Ntagiou, Riccardo Guidotti, Przemyslaw Biecek
2025 J jnl
Mind What You Ask For: Emotional and Rational Faces of Persuasion by Large Language Models.
CoRR
Wiktoria Mieleszczenko-Kowszewicz, Beata Bajcar, Jolanta Babiak, Berenika Dyczek, Jakub Swistak, Przemyslaw Biecek
2025 A conf
Model Science: Getting Serious About Verification, Explanation and Control of AI Systems.
ECAI
Przemyslaw Biecek, Wojciech Samek
2025 J jnl
Model Science: getting serious about verification, explanation and control of AI systems.
CoRR
Przemyslaw Biecek, Wojciech Samek
2025 — conf
Preface.
xAI (Late-breaking Work, Demos, Doctoral Consortium)
Przemyslaw Biecek, Slawomir Nowaczyk, Gitta Kutyniok, Luca Longo
2025 — conf
Radiomic Medical Data Transformation for Radiologists Support.
ISD
Marcin Luckner, Pawel Gelar, Agata Kaczmarek, Adam Kaniasty, Bartosz Kochanski, Tymoteusz Kwiecinski, Wiktoria Mieleszczenko-Kowszewicz, Przemyslaw Biecek
2025 A* conf
Rethinking Visual Counterfactual Explanations Through Region Constraint.
ICLR
Bartlomiej Sobieski, Jakub Grzywaczewski, Bartlomiej Sadlej, Matthew Tivnan, Przemyslaw Biecek
2025 J jnl
System-Embedded Diffusion Bridge Models.
CoRR
Bartlomiej Sobieski, Matthew Tivnan, Yuang Wang, Siyeop Yoon, Pengfei Jin, Dufan Wu, Quanzheng Li, Przemyslaw Biecek
2025 J jnl
The Role of Hyperparameters in Predictive Multiplicity.
CoRR
Mustafa Cavus, Katarzyna Woznica, Przemyslaw Biecek
2025 J jnl
Trojan Horse Hunt in Time Series Forecasting for Space Operations.
CoRR
Krzysztof Kotowski, Ramez Shendy, Jakub Nalepa, Przemyslaw Biecek, Piotr Wilczynski, Agata Kaczmarek, Dawid Pludowski, Artur Janicki, Evridiki Vasileia Ntagiou
2025 J jnl
X-ray transferable polyrepresentation learning.
CoRR
Weronika Hryniewska-Guzik, Przemyslaw Biecek
2024 J jnl
A comparative analysis of deep learning models for lung segmentation on X-ray images.
CoRR
Weronika Hryniewska-Guzik, Jakub Bilski, Bartosz Chrostowski, Jakub Drak Sbahi, Przemyslaw Biecek
2024 J jnl
AI content detection in the emerging information ecosystem: new obligations for media and tech companies.
Ethics Inf. Technol.
Alistair Knott, Dino Pedreschi, Toshiya Jitsuzumi, Susan Leavy, David M. Eyers, Tapabrata Chakraborti, Andrew Trotman, Sundar Sundareswaran, Ricardo Baeza-Yates, Przemyslaw Biecek, Adrian Weller, Paul D. Teal, Subhadip Basu, Mehmet Haklidir, Virginia Morini, Stuart Russell, Yoshua Bengio
2024 J jnl
Adversarial attacks and defenses in explainable artificial intelligence: A survey.
Inf. Fusion
Hubert Baniecki, Przemyslaw Biecek
2024 J jnl
Aggregated Attributions for Explanatory Analysis of 3D Segmentation Models.
CoRR
Maciej Chrabaszcz, Hubert Baniecki, Piotr Komorowski, Szymon Plotka, Przemyslaw Biecek
2024 J jnl
An Experimental Study on the Rashomon Effect of Balancing Methods in Imbalanced Classification.
CoRR
Mustafa Cavus, Przemyslaw Biecek
2024 J jnl
Antibody selection strategies and their impact in predicting clinical malaria based on multi-sera data.
BioData Min.
André Fonseca, Mikolaj Spytek, Przemyslaw Biecek, Clara Cordeiro, Nuno Sepúlveda
2024 — ed.
Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30 - October 4, 2023, Proceedings, Part I
ECAI Workshops (1)
Slawomir Nowaczyk, Przemyslaw Biecek, Neo Christopher Chung, Mauro Vallati, Pawel Skruch, Joanna Jaworek-Korjakowska, Simon Parkinson, Alexandros Nikitas, Martin Atzmüller, Tomás Kliegr, Ute Schmid, Szymon Bobek, Nada Lavrac, Marieke Peeters, Roland van Dierendonck, Saskia Robben, Eunika Mercier-Laurent, Gülgün Kayakutlu, Mieczyslaw Lech Owoc, Karl Mason, Abdul Wahid, Pierangela Bruno, Francesco Calimeri, Francesco Cauteruccio, Giorgio Terracina, Diedrich Wolter, Jochen L. Leidner, Michael Kohlhase, Vania Dimitrova
2024 — ed.
Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30 - October 4, 2023, Proceedings, Part II
ECAI Workshops (2)
Slawomir Nowaczyk, Przemyslaw Biecek, Neo Christopher Chung, Mauro Vallati, Pawel Skruch, Joanna Jaworek-Korjakowska, Simon Parkinson, Alexandros Nikitas, Martin Atzmüller, Tomás Kliegr, Ute Schmid, Szymon Bobek, Nada Lavrac, Marieke Peeters, Roland van Dierendonck, Saskia Robben, Eunika Mercier-Laurent, Gülgün Kayakutlu, Mieczyslaw Lech Owoc, Karl Mason, Abdul Wahid, Pierangela Bruno, Francesco Calimeri, Francesco Cauteruccio, Giorgio Terracina, Diedrich Wolter, Jochen L. Leidner, Michael Kohlhase, Vania Dimitrova
2024 J jnl
Big Tech influence over AI research revisited: Memetic analysis of attribution of ideas to affiliation.
J. Informetrics
Stanislaw Gizinski, Paulina Kaczynska, Hubert Ruczynski, Emilia Wisnios, Bartosz Pielinski, Przemyslaw Biecek, Julian Sienkiewicz
2024 — conf
CNN-Based Explanation Ensembling for Dataset, Representation and Explanations Evaluation.
xAI (2)
Weronika Hryniewska-Guzik, Luca Longo, Przemyslaw Biecek
2024 J jnl
CNN-based explanation ensembling for dataset, representation and explanations evaluation.
CoRR
Weronika Hryniewska-Guzik, Luca Longo, Przemyslaw Biecek
2024 J jnl
Consolidated learning: a domain-specific model-free optimization strategy with validation on metaMIMIC benchmarks.
Mach. Learn.
Katarzyna Woznica, Mateusz Grzyb, Zuzanna Trafas, Przemyslaw Biecek
2024 J jnl
Correction: AI content detection in the emerging information ecosystem: new obligations for media and tech companies.
Ethics Inf. Technol.
Alistair Knott, Dino Pedreschi, Toshiya Jitsuzumi, Susan Leavy, David M. Eyers, Tapabrata Chakraborti, Andrew Trotman, Sundar Sundareswaran, Ricardo Baeza-Yates, Przemyslaw Biecek, Adrian Weller, Paul D. Teal, Subhadip Basu, Mehmet Haklidir, Virginia Morini, Stuart Russell, Yoshua Bengio
2024 J jnl
Deep spatial context: when attention-based models meet spatial regression.
CoRR
Paulina Tomaszewska, Elzbieta Sienkiewicz, Mai P. Hoang, Przemyslaw Biecek
2024 J jnl
Does context matter in digital pathology?
CoRR
Paulina Tomaszewska, Mateusz Sperkowski, Przemyslaw Biecek
2024 J jnl
Efficient and Accurate Explanation Estimation with Distribution Compression.
CoRR
Hubert Baniecki, Giuseppe Casalicchio, Bernd Bischl, Przemyslaw Biecek
2024 J jnl
Explain to Question not to Justify.
CoRR
Przemyslaw Biecek, Wojciech Samek
2024 J jnl
Exploration of the Rashomon Set Assists Trustworthy Explanations for Medical Data.
IEEE J. Biomed. Health Informatics
Katarzyna Kobylinska, Mateusz Krzyzinski, Rafal Machowicz, Mariusz Adamek, Przemyslaw Biecek
2024 — conf
Global Counterfactual Directions.
ECCV (63)
Bartlomiej Sobieski, Przemyslaw Biecek
2024 J jnl
Global Counterfactual Directions.
CoRR
Bartlomiej Sobieski, Przemyslaw Biecek
2024 J jnl
Interpretable Machine Learning for Survival Analysis.
CoRR
Sophie Hanna Langbein, Mateusz Krzyzinski, Mikolaj Spytek, Hubert Baniecki, Przemyslaw Biecek, Marvin N. Wright
2024 J jnl
Investigating the Impact of Balancing, Filtering, and Complexity on Predictive Multiplicity: A Data-Centric Perspective.
CoRR
Mustafa Cavus, Przemyslaw Biecek
2024 J jnl
LIMEcraft: handcrafted superpixel selection and inspection for Visual eXplanations.
Mach. Learn.
Weronika Hryniewska, Adrianna Grudzien, Przemyslaw Biecek
2024 J jnl
NormEnsembleXAI: Unveiling the Strengths and Weaknesses of XAI Ensemble Techniques.
CoRR
Weronika Hryniewska-Guzik, Bartosz Sawicki, Przemyslaw Biecek
2024 — conf
On the Robustness of Global Feature Effect Explanations.
ECML/PKDD (2)
Hubert Baniecki, Giuseppe Casalicchio, Bernd Bischl, Przemyslaw Biecek
2024 J jnl
On the Robustness of Global Feature Effect Explanations.
CoRR
Hubert Baniecki, Giuseppe Casalicchio, Bernd Bischl, Przemyslaw Biecek
2024 J jnl
Performance Is Not Enough: The Story Told by a Rashomon Quartet.
J. Comput. Graph. Stat.
Przemyslaw Biecek, Hubert Baniecki, Mateusz Krzyzinski, Dianne Cook
2024 J jnl
Position paper: Do not explain (vision models) without context.
CoRR
Paulina Tomaszewska, Przemyslaw Biecek
2024 A* conf
Position: Do Not Explain Vision Models Without Context.
ICML
Paulina Tomaszewska, Przemyslaw Biecek
2024 A* conf
Position: Explain to Question not to Justify.
ICML
Przemyslaw Biecek, Wojciech Samek
2024 J jnl
Red Teaming Models for Hyperspectral Image Analysis Using Explainable AI.
CoRR
Vladimir Zaigrajew, Hubert Baniecki, Lukasz Tulczyjew, Agata M. Wijata, Jakub Nalepa, Nicolas Longépé, Przemyslaw Biecek
2024 — conf
Red-Teaming Segment Anything Model.
CVPR Workshops
Krzysztof Jankowski, Bartlomiej Sobieski, Mateusz Kwiatkowski, Jakub Szulc, Michal Janik, Hubert Baniecki, Przemyslaw Biecek
2024 J jnl
Red-Teaming Segment Anything Model.
CoRR
Krzysztof Jankowski, Bartlomiej Sobieski, Mateusz Kwiatkowski, Jakub Szulc, Michal Janik, Hubert Baniecki, Przemyslaw Biecek
2024 A conf
Resistance Against Manipulative AI: Key Factors and Possible Actions.
ECAI
Piotr Wilczynski, Wiktoria Mieleszczenko-Kowszewicz, Przemyslaw Biecek
2024 J jnl
Resistance Against Manipulative AI: key factors and possible actions.
CoRR
Piotr Wilczynski, Wiktoria Mieleszczenko-Kowszewicz, Przemyslaw Biecek
2024 J jnl
Rethinking Visual Counterfactual Explanations Through Region Constraint.
CoRR
Bartlomiej Sobieski, Jakub Grzywaczewski, Bartlomiej Sadlej, Matthew Tivnan, Przemyslaw Biecek
2024 — conf
SRFAMap: A Method for Mapping Integrated Gradients of a CNN Trained with Statistical Radiomic Features to Medical Image Saliency Maps.
xAI (4)
Oleksandr Davydko, Vladimir Pavlov, Przemyslaw Biecek, Luca Longo
2024 — conf
Swin SMT: Global Sequential Modeling for Enhancing 3D Medical Image Segmentation.
MICCAI (8)
Szymon Plotka, Maciej Chrabaszcz, Przemyslaw Biecek
2024 J jnl
Swin SMT: Global Sequential Modeling in 3D Medical Image Segmentation.
CoRR
Szymon Plotka, Maciej Chrabaszcz, Przemyslaw Biecek
2024 J jnl
The Dark Patterns of Personalized Persuasion in Large Language Models: Exposing Persuasive Linguistic Features for Big Five Personality Traits in LLMs Responses.
CoRR
Wiktoria Mieleszczenko-Kowszewicz, Dawid Pludowski, Filip Kolodziejczyk, Jakub Swistak, Julian Sienkiewicz, Przemyslaw Biecek
2024 J jnl
The grammar of interactive explanatory model analysis.
Data Min. Knowl. Discov.
Hubert Baniecki, Dariusz Parzych, Przemyslaw Biecek
2024 — conf
Towards a crowdsourced framework for online hate speech moderation - a case study in the Indian political scenario.
WebSci (Companion)
Avigyan Bhattacharya, Tapabrata Chakraborti, Subhadip Basu, Alistair Knott, Dino Pedreschi, Raja G. Chatila, Susan Leavy, David M. Eyers, Paul D. Teal, Przemyslaw Biecek
2024 J jnl
Underestimation of lung regions on chest X-ray segmentation masks assessed by comparison with total lung volume evaluated on computed tomography.
CoRR
Przemyslaw Bombinski, Patryk Szatkowski, Bartlomiej Sobieski, Tymoteusz Kwiecinski, Szymon Plotka, Mariusz Adamek, Marcin Banasiuk, Mariusz I. Furmanek, Przemyslaw Biecek
2023 J jnl
Adversarial Attacks and Defenses in Explainable Artificial Intelligence: A Survey.
CoRR
Hubert Baniecki, Przemyslaw Biecek
2023 J jnl
Be Careful When Evaluating Explanations Regarding Ground Truth.
CoRR
Hubert Baniecki, Maciej Chrabaszcz, Andreas Holzinger, Bastian Pfeifer, Anna Saranti, Przemyslaw Biecek
2023 J jnl
Big Tech influence over AI research revisited: memetic analysis of attribution of ideas to affiliation.
CoRR
Stanislaw Gizinski, Paulina Kaczynska, Hubert Ruczynski, Emilia Wisnios, Bartosz Pielinski, Przemyslaw Biecek, Julian Sienkiewicz
2023 J jnl
Challenges facing the explainability of age prediction models: case study for two modalities.
CoRR
Mikolaj Spytek, Weronika Hryniewska-Guzik, Jaroslaw Zygierewicz, Jacek Rogala, Przemyslaw Biecek
2023 J jnl
Explainable AI with counterfactual paths.
CoRR
Bastian Pfeifer, Mateusz Krzyzinski, Hubert Baniecki, Anna Saranti, Andreas Holzinger, Przemyslaw Biecek
2023 J jnl
Exploration of Rashomon Set Assists Explanations for Medical Data.
CoRR
Katarzyna Kobylinska, Mateusz Krzyzinski, Rafal Machowicz, Mariusz Adamek, Przemyslaw Biecek
2023 J jnl
Generative AI models should include detection mechanisms as a condition for public release.
Ethics Inf. Technol.
Alistair Knott, Dino Pedreschi, Raja Chatila, Tapabrata Chakraborti, Susan Leavy, Ricardo Baeza-Yates, David M. Eyers, Andrew Trotman, Paul D. Teal, Przemyslaw Biecek, Stuart Russell, Yoshua Bengio
2023 J jnl
Glocal Explanations of Expected Goal Models in Soccer.
CoRR
Mustafa Cavus, Adrian Stando, Przemyslaw Biecek
2023 J jnl
HADES: Homologous Automated Document Exploration and Summarization.
CoRR
Piotr Wilczynski, Artur Zólkowski, Mateusz Krzyzinski, Emilia Wisnios, Bartosz Pielinski, Stanislaw Gizinski, Julian Sienkiewicz, Przemyslaw Biecek
2023 B conf
Hospital Length of Stay Prediction Based on Multi-modal Data Towards Trustworthy Human-AI Collaboration in Radiomics.
AIME
Hubert Baniecki, Bartlomiej Sobieski, Przemyslaw Bombinski, Patryk Szatkowski, Przemyslaw Biecek
2023 J jnl
Hospital Length of Stay Prediction Based on Multi-modal Data towards Trustworthy Human-AI Collaboration in Radiomics.
CoRR
Hubert Baniecki, Bartlomiej Sobieski, Przemyslaw Bombinski, Patryk Szatkowski, Przemyslaw Biecek
2023 — ed.
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part I
PKDD/ECML Workshops (1)
Irena Koprinska, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Fröning, Francesco Gullo, Pedro M. Ferreira, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk, João Gama, Rita P. Ribeiro, Ricard Gavaldà, Elio Masciari, Zbigniew W. Ras, Ettore Ritacco, Francesca Naretto, Andreas Theissler, Przemyslaw Biecek, Wouter Verbeke, Gregor Schiele, Franz Pernkopf, Michaela Blott, Ilaria Bordino, Ivan Luciano Danesi, Giovanni Ponti, Lorenzo Severini, Annalisa Appice, Giuseppina Andresini, Ibéria Medeiros, Guilherme Graça, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana Miranda, Konstantinos Sechidis, Arif Canakoglu, Sara Pidò, Pietro Pinoli, Albert Bifet, Sepideh Pashami
2023 — ed.
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part II
PKDD/ECML Workshops (2)
Irena Koprinska, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Fröning, Francesco Gullo, Pedro M. Ferreira, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk, João Gama, Rita P. Ribeiro, Ricard Gavaldà, Elio Masciari, Zbigniew W. Ras, Ettore Ritacco, Francesca Naretto, Andreas Theissler, Przemyslaw Biecek, Wouter Verbeke, Gregor Schiele, Franz Pernkopf, Michaela Blott, Ilaria Bordino, Ivan Luciano Danesi, Giovanni Ponti, Lorenzo Severini, Annalisa Appice, Giuseppina Andresini, Ibéria Medeiros, Guilherme Graça, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana Miranda, Konstantinos Sechidis, Arif Canakoglu, Sara Pidò, Pietro Pinoli, Albert Bifet, Sepideh Pashami
2023 J jnl
Multi-task learning for classification, segmentation, reconstruction, and detection on chest CT scans.
CoRR
Weronika Hryniewska-Guzik, Maria Kedzierska, Przemyslaw Biecek
2023 J jnl
Performance is not enough: a story of the Rashomon's quartet.
CoRR
Przemyslaw Biecek, Hubert Baniecki, Mateusz Krzyzinski
2023 J jnl
Prevention is better than cure: a case study of the abnormalities detection in the chest.
CoRR
Weronika Hryniewska, Piotr Czarnecki, Jakub Wisniewski, Przemyslaw Bombinski, Przemyslaw Biecek
2023 J jnl
SeFNet: Bridging Tabular Datasets with Semantic Feature Nets.
CoRR
Katarzyna Woznica, Piotr Wilczynski, Przemyslaw Biecek
2023 J jnl
SurvSHAP(t): Time-dependent explanations of machine learning survival models.
Knowl. Based Syst.
Mateusz Krzyzinski, Mikolaj Spytek, Hubert Baniecki, Przemyslaw Biecek
2023 — conf
The Effect of Balancing Methods on Model Behavior in Imbalanced Classification Problems.
LIDTA
Adrian Stando, Mustafa Cavus, Przemyslaw Biecek
2023 J jnl
The Effect of Balancing Methods on Model Behavior in Imbalanced Classification Problems.
CoRR
Adrian Stando, Mustafa Cavus, Przemyslaw Biecek
2023 — conf
Towards Evaluating Explanations of Vision Transformers for Medical Imaging.
CVPR Workshops
Piotr Komorowski, Hubert Baniecki, Przemyslaw Biecek
2023 — conf
Towards Evaluating Explanations of Vision Transformers for Medical Imaging.
XAI4CV
Piotr Komorowski, Hubert Baniecki, Przemyslaw Biecek
2023 J jnl
Towards Evaluating Explanations of Vision Transformers for Medical Imaging.
CoRR
Piotr Komorowski, Hubert Baniecki, Przemyslaw Biecek
2023 J jnl
survex: an R package for explaining machine learning survival models.
Bioinform.
Mikolaj Spytek, Mateusz Krzyzinski, Sophie Hanna Langbein, Hubert Baniecki, Marvin N. Wright, Przemyslaw Biecek
2023 J jnl
survex: an R package for explaining machine learning survival models.
CoRR
Mikolaj Spytek, Mateusz Krzyzinski, Sophie Hanna Langbein, Hubert Baniecki, Marvin N. Wright, Przemyslaw Biecek
2022 J jnl
A robust framework to investigate the reliability and stability of explainable artificial intelligence markers of Mild Cognitive Impairment and Alzheimer's Disease.
Brain Informatics
Angela Lombardi, Domenico Diacono, Nicola Amoroso, Przemyslaw Biecek, Alfonso Monaco, Loredana Bellantuono, Ester Pantaleo, Giancarlo Logroscino, Roberto De Blasi, Sabina Tangaro, Roberto Bellotti
2022 J jnl
Climate Policy Tracker: Pipeline for automated analysis of public climate policies.
CoRR
Artur Zólkowski, Mateusz Krzyzinski, Piotr Wilczynski, Stanislaw Gizinski, Emilia Wisnios, Bartosz Pielinski, Julian Sienkiewicz, Przemyslaw Biecek
2022 J jnl
Consolidated learning - a domain-specific model-free optimization strategy with examples for XGBoost and MIMIC-IV.
CoRR
Katarzyna Woznica, Mateusz Grzyb, Zuzanna Trafas, Przemyslaw Biecek
2022 B conf
Explainable expected goal models for performance analysis in football analytics.
DSAA
Mustafa Cavus, Przemyslaw Biecek
2022 J jnl
Explainable expected goal models for performance analysis in football analytics.
CoRR
Mustafa Cavus, Przemyslaw Biecek
2022 — conf
Fooling Partial Dependence via Data Poisoning.
ECML/PKDD (3)
Hubert Baniecki, Wojciech Kretowicz, Przemyslaw Biecek
2022 — conf
Interpretable Meta-Score for Model Performance: Extended Abstract.
Meta-Knowledge Transfer @ ECML/PKDD
Alicja Gosiewska, Katarzyna Woznica, Przemyslaw Biecek
2022 J jnl
Interpretable meta-score for model performance.
Nat. Mac. Intell.
Alicja Gosiewska, Katarzyna Woznica, Przemyslaw Biecek
2022 A* conf
Manipulating SHAP via Adversarial Data Perturbations (Student Abstract).
AAAI
Hubert Baniecki, Przemyslaw Biecek
2022 J jnl
Performance, Opaqueness, Consequences, and Assumptions: Simple questions for responsible planning of machine learning solutions.
CoRR
Przemyslaw Biecek
2022 J jnl
SurvSHAP(t): Time-dependent explanations of machine learning survival models.
CoRR
Mateusz Krzyzinski, Mikolaj Spytek, Hubert Baniecki, Przemyslaw Biecek
2022 J jnl
Transparency, auditability, and explainability of machine learning models in credit scoring.
J. Oper. Res. Soc.
Michael Bücker, Gero Szepannek, Alicja Gosiewska, Przemyslaw Biecek
2022 J jnl
fairmodels: a Flexible Tool for Bias Detection, Visualization, and Mitigation in Binary Classification Models.
R J.
Jakub Wisniewski, Przemyslaw Biecek
2021 J jnl
Checklist for responsible deep learning modeling of medical images based on COVID-19 detection studies.
Pattern Recognit.
Weronika Hryniewska, Przemyslaw Bombinski, Patryk Szatkowski, Paulina Tomaszewska, Artur Przelaskowski, Przemyslaw Biecek
2021 — conf
Cleora: A Simple, Strong and Scalable Graph Embedding Scheme.
ICONIP (4)
Barbara Rychalska, Piotr Babel, Konrad Goluchowski, Andrzej Michalowski, Jacek Dabrowski, Przemyslaw Biecek
2021 J jnl
Do not explain without context: addressing the blind spot of model explanations.
CoRR
Katarzyna Woznica, Katarzyna Pekala, Hubert Baniecki, Wojciech Kretowicz, Elzbieta Sienkiewicz, Przemyslaw Biecek
2021 J jnl
Enabling Machine Learning Algorithms for Credit Scoring - Explainable Artificial Intelligence (XAI) methods for clear understanding complex predictive models.
CoRR
Przemyslaw Biecek, Marcin Chlebus, Janusz Gajda, Alicja Gosiewska, Anna Kozak, Dominik Ogonowski, Jakub Sztachelski, Piotr Wojewnik
2021 J jnl
Fooling Partial Dependence via Data Poisoning.
CoRR
Hubert Baniecki, Wojciech Kretowicz, Przemyslaw Biecek
2021 J jnl
Interpretable segmentation of medical free-text records based on word embeddings.
J. Intell. Inf. Syst.
Adam Gabriel Dobrakowski, Agnieszka Mykowiecka, Malgorzata Marciniak, Wojciech Jaworski, Przemyslaw Biecek
2021 — conf
Kleister: Key Information Extraction Datasets Involving Long Documents with Complex Layouts.
ICDAR (1)
Tomasz Stanislawek, Filip Gralinski, Anna Wróblewska, Dawid Lipinski, Agnieszka Kaliska, Paulina Rosalska, Bartosz Topolski, Przemyslaw Biecek
2021 J jnl
Kleister: Key Information Extraction Datasets Involving Long Documents with Complex Layouts.
CoRR
Tomasz Stanislawek, Filip Gralinski, Anna Wróblewska, Dawid Lipinski, Agnieszka Kaliska, Paulina Rosalska, Bartosz Topolski, Przemyslaw Biecek
2021 J jnl
LIMEcraft: Handcrafted superpixel selection and inspection for Visual eXplanations.
CoRR
Weronika Hryniewska, Adrianna Grudzien, Przemyslaw Biecek
2021 J jnl
MAIR: Framework for mining relationships between research articles, strategies, and regulations in the field of explainable artificial intelligence.
CoRR
Stanislaw Gizinski, Michal Kuzba, Bartosz Pielinski, Julian Sienkiewicz, Stanislaw Laniewski, Przemyslaw Biecek
2021 — ed.
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I
PKDD/ECML Workshops (1)
Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça
2021 — ed.
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II
PKDD/ECML Workshops (2)
Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça
2021 A* conf
Responsible Prediction Making of COVID-19 Mortality (Student Abstract).
AAAI
Hubert Baniecki, Przemyslaw Biecek
2021 J jnl
Simpler is better: Lifting interpretability-performance trade-off via automated feature engineering.
Decis. Support Syst.
Alicja Gosiewska, Anna Kozak, Przemyslaw Biecek
2021 — conf
Supporting Doctor's Decisions Based on Electronic Medical Documentation in Polish.
MedInfo
Wojciech Jaworski, Przemyslaw Biecek, Adam Gabriel Dobrakowski, Malgorzata Marciniak, Agnieszka Mykowiecka, Agnieszka Morusiewicz, Joanna Przetacka, Lukasz Kaminski
2021 — conf
Towards Explainable Meta-learning.
PKDD/ECML Workshops (1)
Katarzyna Woznica, Przemyslaw Biecek
2021 J jnl
Triplot: model agnostic measures and visualisations for variable importance in predictive models that take into account the hierarchical correlation structure.
CoRR
Katarzyna Pekala, Katarzyna Woznica, Przemyslaw Biecek
2021 J jnl
dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python.
J. Mach. Learn. Res.
Hubert Baniecki, Wojciech Kretowicz, Piotr Piatyszek, Jakub Wisniewski, Przemyslaw Biecek
2021 J jnl
fairmodels: A Flexible Tool For Bias Detection, Visualization, And Mitigation.
CoRR
Jakub Wisniewski, Przemyslaw Biecek
2020 J jnl
Do not repeat these mistakes - a critical appraisal of applications of explainable artificial intelligence for image based COVID-19 detection.
CoRR
Weronika Hryniewska, Przemyslaw Bombinski, Patryk Szatkowski, Paulina Tomaszewska, Artur Przelaskowski, Przemyslaw Biecek
2020 J jnl
Does imputation matter? Benchmark for predictive models.
CoRR
Katarzyna Woznica, Przemyslaw Biecek
2020 — ed.
ECML PKDD 2020 Workshops - Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2020): SoGood 2020, PDFL 2020, MLCS 2020, NFMCP 2020, DINA 2020, EDML 2020, XKDD 2020 and INRA 2020, Ghent, Belgium, September 14-18, 2020, Proceedings
PKDD/ECML Workshops
Irena Koprinska, Michael Kamp, Annalisa Appice, Corrado Loglisci, Luiza Antonie, Albrecht Zimmermann, Riccardo Guidotti, Özlem Özgöbek, Rita P. Ribeiro, Ricard Gavaldà, João Gama, Linara Adilova, Yamuna Krishnamurthy, Pedro M. Ferreira, Donato Malerba, Ibéria Medeiros, Michelangelo Ceci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras, Peter Christen, Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Anna Monreale, Przemyslaw Biecek, Salvatore Rinzivillo, Benjamin Kille, Andreas Lommatzsch, Jon Atle Gulla
2020 — conf
Explainable AI Methods - A Brief Overview.
xxAI@ICML
Andreas Holzinger, Anna Saranti, Christoph Molnar, Przemyslaw Biecek, Wojciech Samek
2020 J jnl
Interpretable Meta-Measure for Model Performance.
CoRR
Alicja Gosiewska, Katarzyna Woznica, Przemyslaw Biecek
2020 C conf
Interpretable Segmentation of Medical Free-Text Records Based on Word Embeddings.
ISMIS
Adam Gabriel Dobrakowski, Agnieszka Mykowiecka, Malgorzata Marciniak, Wojciech Jaworski, Przemyslaw Biecek
2020 J jnl
KRAB ZNF explorer - the online tool for the exploration of the transcriptomic profiles of KRAB-ZNF factors in The Cancer Genome Atlas.
Bioinform.
Rafal Cylwa, Kornel Kielczewski, Marta Machnik, Urszula Oleksiewicz, Przemyslaw Biecek
2020 J jnl
Kleister: A novel task for Information Extraction involving Long Documents with Complex Layout.
CoRR
Filip Gralinski, Tomasz Stanislawek, Anna Wróblewska, Dawid Lipinski, Agnieszka Kaliska, Paulina Rosalska, Bartosz Topolski, Przemyslaw Biecek
2020 J jnl
Landscape of R packages for eXplainable Artificial Intelligence.
CoRR
Szymon Maksymiuk, Alicja Gosiewska, Przemyslaw Biecek
2020 J jnl
Lifting Interpretability-Performance Trade-off via Automated Feature Engineering.
CoRR
Alicja Gosiewska, Przemyslaw Biecek
2020 J jnl
MementoML: Performance of selected machine learning algorithm configurations on OpenML100 datasets.
CoRR
Wojciech Kretowicz, Przemyslaw Biecek
2020 J jnl
The Grammar of Interactive Explanatory Model Analysis.
CoRR
Hubert Baniecki, Przemyslaw Biecek
2020 J jnl
Towards better understanding of meta-features contributions.
CoRR
Katarzyna Woznica, Przemyslaw Biecek
2020 J jnl
Transparency, Auditability and eXplainability of Machine Learning Models in Credit Scoring.
CoRR
Michael Bücker, Gero Szepannek, Alicja Gosiewska, Przemyslaw Biecek
2020 — conf
What Would You Ask the Machine Learning Model? Identification of User Needs for Model Explanations Based on Human-Model Conversations.
PKDD/ECML Workshops
Michal Kuzba, Przemyslaw Biecek
2020 J jnl
What Would You Ask the Machine Learning Model? Identification of User Needs for Model Explanations Based on Human-Model Conversations.
CoRR
Michal Kuzba, Przemyslaw Biecek
2020 J jnl
dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python.
CoRR
Hubert Baniecki, Wojciech Kretowicz, Piotr Piatyszek, Jakub Wisniewski, Przemyslaw Biecek
2019 J jnl
Clustering of Medical Free-Text Records Based on Word Embeddings.
CoRR
Adam Gabriel Dobrakowski, Agnieszka Mykowiecka, Malgorzata Marciniak, Wojciech Jaworski, Przemyslaw Biecek
2019 J jnl
EPP: interpretable score of model predictive power.
CoRR
Alicja Gosiewska, Mateusz Bakala, Katarzyna Woznica, Maciej Zwolinski, Przemyslaw Biecek
2019 — conf
Explainable Machine Learning for Modeling of Early Postoperative Mortality in Lung Cancer.
KR4HC/ProHealth/TEAAM@AIME
Katarzyna Kobylinska, Tomasz Mikolajczyk, Mariusz Adamek, Tadeusz Orlowski, Przemyslaw Biecek
2019 J jnl
Model Development Process.
CoRR
Przemyslaw Biecek
2019 — conf
Models in the Wild: On Corruption Robustness of Neural NLP Systems.
ICONIP (3)
Barbara Rychalska, Dominika Basaj, Alicja Gosiewska, Przemyslaw Biecek
2019 B conf
Named Entity Recognition - Is There a Glass Ceiling?
CoNLL
Tomasz Stanislawek, Anna Wróblewska, Alicja Wójcicka, Daniel Ziembicki, Przemyslaw Biecek
2019 J jnl
Named Entity Recognition - Is there a glass ceiling?
CoRR
Tomasz Stanislawek, Anna Wróblewska, Alicja Wójcicka, Daniel Ziembicki, Przemyslaw Biecek
2019 J jnl
SAFE ML: Surrogate Assisted Feature Extraction for Model Learning.
CoRR
Alicja Gosiewska, Aleksandra Gacek, Piotr Lubon, Przemyslaw Biecek
2019 J jnl
The Landscape of R Packages for Automated Exploratory Data Analysis.
CoRR
Mateusz Staniak, Przemyslaw Biecek
2019 J jnl
The Landscape of R Packages for Automated Exploratory Data Analysis.
R J.
Mateusz Staniak, Przemyslaw Biecek
2019 J jnl
auditor: an R Package for Model-Agnostic Visual Validation and Diagnostics.
R J.
Alicja Gosiewska, Przemyslaw Biecek
2019 J jnl
iBreakDown: Uncertainty of Model Explanations for Non-additive Predictive Models.
CoRR
Alicja Gosiewska, Przemyslaw Biecek
2019 J jnl
modelDown: automated website generator with interpretable documentation for predictive machine learning models.
J. Open Source Softw.
Kamil Romaszko, Magda Tatarynowicz, Mateusz Urbanski, Przemyslaw Biecek
2019 J jnl
modelStudio: Interactive Studio with Explanations for ML Predictive Models.
J. Open Source Softw.
Hubert Baniecki, Przemyslaw Biecek
2019 J jnl
pyCeterisParibus: explaining Machine Learning models with Ceteris Paribus Profiles in Python.
J. Open Source Softw.
Michal Kuzba, Ewa Baranowska, Przemyslaw Biecek
2018 J jnl
Are you tough enough? Framework for Robustness Validation of Machine Comprehension Systems.
CoRR
Barbara Rychalska, Dominika Basaj, Przemyslaw Biecek
2018 J jnl
DALEX: Explainers for Complex Predictive Models in R.
J. Mach. Learn. Res.
Przemyslaw Biecek
2018 J jnl
DALEX: explainers for complex predictive models.
CoRR
Przemyslaw Biecek
2018 — conf
Does it care what you asked? Understanding Importance of Verbs in Deep Learning QA System.
BlackboxNLP@EMNLP
Barbara Rychalska, Dominika Basaj, Anna Wróblewska, Przemyslaw Biecek
2018 J jnl
Does it care what you asked? Understanding Importance of Verbs in Deep Learning QA System.
CoRR
Barbara Rychalska, Dominika Basaj, Przemyslaw Biecek, Anna Wróblewska
2018 J jnl
Explanations of Model Predictions with live and breakDown Packages.
R J.
Mateusz Staniak, Przemyslaw Biecek
2018 J jnl
Explanations of model predictions with live and breakDown packages.
CoRR
Mateusz Staniak, Przemyslaw Biecek
2018 — conf
How much should you ask? On the question structure in QA systems.
BlackboxNLP@EMNLP
Barbara Rychalska, Dominika Basaj, Anna Wróblewska, Przemyslaw Biecek
2018 J jnl
How much should you ask? On the question structure in QA systems.
CoRR
Dominika Basaj, Barbara Rychalska, Przemyslaw Biecek, Anna Wróblewska
2018 J jnl
auditor: an R Package for Model-Agnostic Visual Validation and Diagnostic.
CoRR
Alicja Gosiewska, Przemyslaw Biecek
2018 J jnl
survxai: an R package for structure-agnostic explanations of survival models.
J. Open Source Softw.
Aleksandra Grudziaz, Alicja Gosiewska, Przemyslaw Biecek
2017 J jnl
Merge and Select: Visualization of a likelihood based k-sample adaptive fusing and model selection.
CoRR
Agnieszka Sitko, Przemyslaw Biecek
2017 J jnl
Retrieval and Analysis of Eurostat Open Data with the eurostat Package.
R J.
Leo Lahti, Janne Huovari, Markus Kainu, Przemyslaw Biecek
2011 J jnl
Bi-Billboard: Symmetrization and Careful Choice of Informant Species Results in Higher Accuracy of Regulatory Element Prediction.
J. Comput. Biol.
Norbert Dojer, Przemyslaw Biecek, Jerzy Tiuryn
2011 J jnl
Deregulation upon DNA damage revealed by joint analysis of context-specific perturbation data.
BMC Bioinform.
Ewa Szczurek, Florian Markowetz, Irit Gat-Viks, Przemyslaw Biecek, Jerzy Tiuryn, Martin Vingron
2010 J jnl
Introducing Knowledge into Differential Expression Analysis.
J. Comput. Biol.
Ewa Szczurek, Przemyslaw Biecek, Jerzy Tiuryn, Martin Vingron
2008 — conf
Optimisation of Asymmetric Mutational Pressure and Selection Pressure Around the Universal Genetic Code.
ICCS (3)
Pawel Mackiewicz, Przemyslaw Biecek, Dorota Mackiewicz, Joanna Kiraga, Krystian Baczkowski, Maciej Sobczynski, Stanislaw Cebrat
2007 J jnl
Locating multiple interacting quantitative trait loci using robust model selection.
Comput. Stat. Data Anal.
Andreas Baierl, Andreas Futschik, Malgorzata Bogdan, Przemyslaw Biecek
2007 J jnl
The role of intragenomic recombination rate in the evolution of population's genetic pool.
Theory Biosci.
Marta Zawierta, Przemyslaw Biecek, Wojciech Waga, Stanislaw Cebrat