Przemyslaw Biecek

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 119

Top Venues

CoRR

R J.

J. Open Source Softw.

BlackboxNLP@EMNLP

Publications

Hubert Baniecki, Giuseppe Casalicchio, Bernd Bischl, Przemyslaw Biecek
On the Robustness of Global Feature Effect Explanations. CoRR (2024)
Hubert Baniecki, Giuseppe Casalicchio, Bernd Bischl, Przemyslaw Biecek
Efficient and Accurate Explanation Estimation with Distribution Compression. CoRR (2024)
Krzysztof Jankowski, Bartlomiej Sobieski, Mateusz Kwiatkowski, Jakub Szulc, Michal Janik, Hubert Baniecki, Przemyslaw Biecek
Red-Teaming Segment Anything Model. CoRR (2024)
Bartlomiej Sobieski, Przemyslaw Biecek
Global Counterfactual Directions. CoRR (2024)
Sophie Hanna Langbein, Mateusz Krzyzinski, Mikolaj Spytek, Hubert Baniecki, Przemyslaw Biecek, Marvin N. Wright
Interpretable Machine Learning for Survival Analysis. CoRR (2024)
Weronika Hryniewska-Guzik, Jakub Bilski, Bartosz Chrostowski, Jakub Drak Sbahi, Przemyslaw Biecek
A comparative analysis of deep learning models for lung segmentation on X-ray images. CoRR (2024)
André Fonseca, Mikolaj Spytek, Przemyslaw Biecek, Clara Cordeiro, Nuno Sepúlveda
Antibody selection strategies and their impact in predicting clinical malaria based on multi-sera data. BioData Min. 17 (1) (2024)
Weronika Hryniewska, Adrianna Grudzien, Przemyslaw Biecek
LIMEcraft: handcrafted superpixel selection and inspection for Visual eXplanations. Mach. Learn. 113 (5) (2024)
Paulina Tomaszewska, Mateusz Sperkowski, Przemyslaw Biecek
Does context matter in digital pathology? CoRR (2024)
Mustafa Cavus, Przemyslaw Biecek
An Experimental Study on the Rashomon Effect of Balancing Methods in Imbalanced Classification. CoRR (2024)
Szymon Plotka, Maciej Chrabaszcz, Przemyslaw Biecek
Swin SMT: Global Sequential Modeling in 3D Medical Image Segmentation. CoRR (2024)
Maciej Chrabaszcz, Hubert Baniecki, Piotr Komorowski, Szymon Plotka, Przemyslaw Biecek
Aggregated Attributions for Explanatory Analysis of 3D Segmentation Models. CoRR (2024)
Hubert Baniecki, Przemyslaw Biecek
Adversarial attacks and defenses in explainable artificial intelligence: A survey. Inf. Fusion 107 (2024)
Avigyan Bhattacharya, Tapabrata Chakraborti, Subhadip Basu, Alistair Knott, Dino Pedreschi, Raja G. Chatila, Susan Leavy, David M. Eyers, Paul D. Teal, Przemyslaw Biecek
Towards a crowdsourced framework for online hate speech moderation - a case study in the Indian political scenario. WebSci (Companion) (2024)
Przemyslaw Bombinski, Patryk Szatkowski, Bartlomiej Sobieski, Tymoteusz Kwiecinski, Szymon Plotka, Mariusz Adamek, Marcin Banasiuk, Mariusz I. Furmanek, Przemyslaw Biecek
Underestimation of lung regions on chest X-ray segmentation masks assessed by comparison with total lung volume evaluated on computed tomography. CoRR (2024)
Przemyslaw Biecek, Wojciech Samek
Explain to Question not to Justify. CoRR (2024)
Katarzyna Woznica, Mateusz Grzyb, Zuzanna Trafas, Przemyslaw Biecek
Consolidated learning: a domain-specific model-free optimization strategy with validation on metaMIMIC benchmarks. Mach. Learn. 113 (7) (2024)
Vladimir Zaigrajew, Hubert Baniecki, Lukasz Tulczyjew, Agata M. Wijata, Jakub Nalepa, Nicolas Longépé, Przemyslaw Biecek
Red Teaming Models for Hyperspectral Image Analysis Using Explainable AI. CoRR (2024)
Piotr Wilczynski, Wiktoria Mieleszczenko-Kowszewicz, Przemyslaw Biecek
Resistance Against Manipulative AI: key factors and possible actions. CoRR (2024)
Weronika Hryniewska-Guzik, Bartosz Sawicki, Przemyslaw Biecek
NormEnsembleXAI: Unveiling the Strengths and Weaknesses of XAI Ensemble Techniques. CoRR (2024)
Paulina Tomaszewska, Elzbieta Sienkiewicz, Mai P. Hoang, Przemyslaw Biecek
Deep spatial context: when attention-based models meet spatial regression. CoRR (2024)
Weronika Hryniewska-Guzik, Luca Longo, Przemyslaw Biecek
CNN-based explanation ensembling for dataset, representation and explanations evaluation. CoRR (2024)
Paulina Tomaszewska, Przemyslaw Biecek
Position paper: Do not explain (vision models) without context. CoRR (2024)
Hubert Baniecki, Bartlomiej Sobieski, Przemyslaw Bombinski, Patryk Szatkowski, Przemyslaw Biecek
Hospital Length of Stay Prediction Based on Multi-modal Data towards Trustworthy Human-AI Collaboration in Radiomics. CoRR (2023)
Mikolaj Spytek, Mateusz Krzyzinski, Sophie Hanna Langbein, Hubert Baniecki, Marvin N. Wright, Przemyslaw Biecek
survex: an R package for explaining machine learning survival models. CoRR (2023)
Piotr Komorowski, Hubert Baniecki, Przemyslaw Biecek
Towards Evaluating Explanations of Vision Transformers for Medical Imaging. CoRR (2023)
Piotr Komorowski, Hubert Baniecki, Przemyslaw Biecek
Towards Evaluating Explanations of Vision Transformers for Medical Imaging. CVPR Workshops (2023)
Mateusz Krzyzinski, Mikolaj Spytek, Hubert Baniecki, Przemyslaw Biecek
SurvSHAP(t): Time-dependent explanations of machine learning survival models. Knowl. Based Syst. 262 (2023)
Hubert Baniecki, Maciej Chrabaszcz, Andreas Holzinger, Bastian Pfeifer, Anna Saranti, Przemyslaw Biecek
Be Careful When Evaluating Explanations Regarding Ground Truth. CoRR (2023)
Przemyslaw Biecek, Hubert Baniecki, Mateusz Krzyzinski
Performance is not enough: a story of the Rashomon's quartet. CoRR (2023)
Mikolaj Spytek, Mateusz Krzyzinski, Sophie Hanna Langbein, Hubert Baniecki, Marvin N. Wright, Przemyslaw Biecek
survex: an R package for explaining machine learning survival models. Bioinform. 39 (12) (2023)
Adrian Stando, Mustafa Cavus, Przemyslaw Biecek
The Effect of Balancing Methods on Model Behavior in Imbalanced Classification Problems. CoRR (2023)
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
Generative AI models should include detection mechanisms as a condition for public release. Ethics Inf. Technol. 25 (4) (2023)
Mikolaj Spytek, Weronika Hryniewska-Guzik, Jaroslaw Zygierewicz, Jacek Rogala, Przemyslaw Biecek
Challenges facing the explainability of age prediction models: case study for two modalities. CoRR (2023)
Hubert Baniecki, Bartlomiej Sobieski, Przemyslaw Bombinski, Patryk Szatkowski, Przemyslaw Biecek
Hospital Length of Stay Prediction Based on Multi-modal Data Towards Trustworthy Human-AI Collaboration in Radiomics. AIME (2023)
Bastian Pfeifer, Mateusz Krzyzinski, Hubert Baniecki, Anna Saranti, Andreas Holzinger, Przemyslaw Biecek
Explainable AI with counterfactual paths. CoRR (2023)
Piotr Wilczynski, Artur Zólkowski, Mateusz Krzyzinski, Emilia Wisnios, Bartosz Pielinski, Stanislaw Gizinski, Julian Sienkiewicz, Przemyslaw Biecek
HADES: Homologous Automated Document Exploration and Summarization. CoRR (2023)
Katarzyna Kobylinska, Mateusz Krzyzinski, Rafal Machowicz, Mariusz Adamek, Przemyslaw Biecek
Exploration of Rashomon Set Assists Explanations for Medical Data. CoRR (2023)
Hubert Baniecki, Przemyslaw Biecek
Adversarial Attacks and Defenses in Explainable Artificial Intelligence: A Survey. CoRR (2023)
Weronika Hryniewska-Guzik, Maria Kedzierska, Przemyslaw Biecek
Multi-task learning for classification, segmentation, reconstruction, and detection on chest CT scans. CoRR (2023)
Stanislaw Gizinski, Paulina Kaczynska, Hubert Ruczynski, Emilia Wisnios, Bartosz Pielinski, Przemyslaw Biecek, Julian Sienkiewicz
Big Tech influence over AI research revisited: memetic analysis of attribution of ideas to affiliation. CoRR (2023)
Mustafa Cavus, Adrian Stando, Przemyslaw Biecek
Glocal Explanations of Expected Goal Models in Soccer. CoRR (2023)
Weronika Hryniewska, Piotr Czarnecki, Jakub Wisniewski, Przemyslaw Bombinski, Przemyslaw Biecek
Prevention is better than cure: a case study of the abnormalities detection in the chest. CoRR (2023)
Katarzyna Woznica, Piotr Wilczynski, Przemyslaw Biecek
SeFNet: Bridging Tabular Datasets with Semantic Feature Nets. CoRR (2023)
Adrian Stando, Mustafa Cavus, Przemyslaw Biecek
The Effect of Balancing Methods on Model Behavior in Imbalanced Classification Problems. LIDTA (2023)
Katarzyna Woznica, Mateusz Grzyb, Zuzanna Trafas, Przemyslaw Biecek
Consolidated learning - a domain-specific model-free optimization strategy with examples for XGBoost and MIMIC-IV. CoRR (2022)
Hubert Baniecki, Przemyslaw Biecek
Manipulating SHAP via Adversarial Data Perturbations (Student Abstract). AAAI (2022)
Mustafa Cavus, Przemyslaw Biecek
Explainable expected goal models for performance analysis in football analytics. DSAA (2022)
Hubert Baniecki, Wojciech Kretowicz, Przemyslaw Biecek
Fooling Partial Dependence via Data Poisoning. ECML/PKDD (3) (2022)
Alicja Gosiewska, Katarzyna Woznica, Przemyslaw Biecek
Interpretable meta-score for model performance. Nat. Mac. Intell. 4 (9) (2022)
Jakub Wisniewski, Przemyslaw Biecek
fairmodels: a Flexible Tool for Bias Detection, Visualization, and Mitigation in Binary Classification Models. R J. 14 (1) (2022)
Mateusz Krzyzinski, Mikolaj Spytek, Hubert Baniecki, Przemyslaw Biecek
SurvSHAP(t): Time-dependent explanations of machine learning survival models. CoRR (2022)
Artur Zólkowski, Mateusz Krzyzinski, Piotr Wilczynski, Stanislaw Gizinski, Emilia Wisnios, Bartosz Pielinski, Julian Sienkiewicz, Przemyslaw Biecek
Climate Policy Tracker: Pipeline for automated analysis of public climate policies. CoRR (2022)
Przemyslaw Biecek
Performance, Opaqueness, Consequences, and Assumptions: Simple questions for responsible planning of machine learning solutions. CoRR (2022)
Mustafa Cavus, Przemyslaw Biecek
Explainable expected goal models for performance analysis in football analytics. CoRR (2022)
Michael Bücker, Gero Szepannek, Alicja Gosiewska, Przemyslaw Biecek
Transparency, auditability, and explainability of machine learning models in credit scoring. J. Oper. Res. Soc. 73 (1) (2022)
Angela Lombardi, Domenico Diacono, Nicola Amoroso, Przemyslaw Biecek, Alfonso Monaco, Loredana Bellantuono, Ester Pantaleo, Giancarlo Logroscino, Roberto De Blasi, Sabina Tangaro, Roberto Bellotti
A robust framework to investigate the reliability and stability of explainable artificial intelligence markers of Mild Cognitive Impairment and Alzheimer's Disease. Brain Informatics 9 (1) (2022)
Alicja Gosiewska, Katarzyna Woznica, Przemyslaw Biecek
Interpretable Meta-Score for Model Performance: Extended Abstract. Meta-Knowledge Transfer @ ECML/PKDD (2022)
Katarzyna Pekala, Katarzyna Woznica, Przemyslaw Biecek
Triplot: model agnostic measures and visualisations for variable importance in predictive models that take into account the hierarchical correlation structure. CoRR (2021)
Alicja Gosiewska, Anna Kozak, Przemyslaw Biecek
Simpler is better: Lifting interpretability-performance trade-off via automated feature engineering. Decis. Support Syst. 150 (2021)
Hubert Baniecki, Wojciech Kretowicz, Przemyslaw Biecek
Fooling Partial Dependence via Data Poisoning. CoRR (2021)
Barbara Rychalska, Piotr Babel, Konrad Goluchowski, Andrzej Michalowski, Jacek Dabrowski, Przemyslaw Biecek
Cleora: A Simple, Strong and Scalable Graph Embedding Scheme. ICONIP (4) (2021)
Stanislaw Gizinski, Michal Kuzba, Bartosz Pielinski, Julian Sienkiewicz, Stanislaw Laniewski, Przemyslaw Biecek
MAIR: Framework for mining relationships between research articles, strategies, and regulations in the field of explainable artificial intelligence. CoRR (2021)
Tomasz Stanislawek, Filip Gralinski, Anna Wróblewska, Dawid Lipinski, Agnieszka Kaliska, Paulina Rosalska, Bartosz Topolski, Przemyslaw Biecek
Kleister: Key Information Extraction Datasets Involving Long Documents with Complex Layouts. ICDAR (1) (2021)
Jakub Wisniewski, Przemyslaw Biecek
fairmodels: A Flexible Tool For Bias Detection, Visualization, And Mitigation. CoRR (2021)
Katarzyna Woznica, Katarzyna Pekala, Hubert Baniecki, Wojciech Kretowicz, Elzbieta Sienkiewicz, Przemyslaw Biecek
Do not explain without context: addressing the blind spot of model explanations. CoRR (2021)
Weronika Hryniewska, Adrianna Grudzien, Przemyslaw Biecek
LIMEcraft: Handcrafted superpixel selection and inspection for Visual eXplanations. CoRR (2021)
Hubert Baniecki, Przemyslaw Biecek
Responsible Prediction Making of COVID-19 Mortality (Student Abstract). AAAI (2021)
Tomasz Stanislawek, Filip Gralinski, Anna Wróblewska, Dawid Lipinski, Agnieszka Kaliska, Paulina Rosalska, Bartosz Topolski, Przemyslaw Biecek
Kleister: Key Information Extraction Datasets Involving Long Documents with Complex Layouts. CoRR (2021)
Adam Gabriel Dobrakowski, Agnieszka Mykowiecka, Malgorzata Marciniak, Wojciech Jaworski, Przemyslaw Biecek
Interpretable segmentation of medical free-text records based on word embeddings. J. Intell. Inf. Syst. 57 (3) (2021)
Hubert Baniecki, Wojciech Kretowicz, Piotr Piatyszek, Jakub Wisniewski, Przemyslaw Biecek
dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python. J. Mach. Learn. Res. 22 (2021)
Wojciech Jaworski, Przemyslaw Biecek, Adam Gabriel Dobrakowski, Malgorzata Marciniak, Agnieszka Mykowiecka, Agnieszka Morusiewicz, Joanna Przetacka, Lukasz Kaminski
Supporting Doctor's Decisions Based on Electronic Medical Documentation in Polish. MedInfo (2021)
Przemyslaw Biecek, Marcin Chlebus, Janusz Gajda, Alicja Gosiewska, Anna Kozak, Dominik Ogonowski, Jakub Sztachelski, Piotr Wojewnik
Enabling Machine Learning Algorithms for Credit Scoring - Explainable Artificial Intelligence (XAI) methods for clear understanding complex predictive models. CoRR (2021)
Katarzyna Woznica, Przemyslaw Biecek
Towards Explainable Meta-learning. PKDD/ECML Workshops (1) (2021)
Weronika Hryniewska, Przemyslaw Bombinski, Patryk Szatkowski, Paulina Tomaszewska, Artur Przelaskowski, Przemyslaw Biecek
Checklist for responsible deep learning modeling of medical images based on COVID-19 detection studies. Pattern Recognit. 118 (2021)
Filip Gralinski, Tomasz Stanislawek, Anna Wróblewska, Dawid Lipinski, Agnieszka Kaliska, Paulina Rosalska, Bartosz Topolski, Przemyslaw Biecek
Kleister: A novel task for Information Extraction involving Long Documents with Complex Layout. CoRR (2020)
Wojciech Kretowicz, Przemyslaw Biecek
MementoML: Performance of selected machine learning algorithm configurations on OpenML100 datasets. CoRR (2020)
Weronika Hryniewska, Przemyslaw Bombinski, Patryk Szatkowski, Paulina Tomaszewska, Artur Przelaskowski, Przemyslaw Biecek
Do not repeat these mistakes - a critical appraisal of applications of explainable artificial intelligence for image based COVID-19 detection. CoRR (2020)
Michal Kuzba, Przemyslaw Biecek
What Would You Ask the Machine Learning Model? Identification of User Needs for Model Explanations Based on Human-Model Conversations. PKDD/ECML Workshops (2020)
Katarzyna Woznica, Przemyslaw Biecek
Does imputation matter? Benchmark for predictive models. CoRR (2020)
Alicja Gosiewska, Katarzyna Woznica, Przemyslaw Biecek
Interpretable Meta-Measure for Model Performance. CoRR (2020)
Hubert Baniecki, Wojciech Kretowicz, Piotr Piatyszek, Jakub Wisniewski, Przemyslaw Biecek
dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python. CoRR (2020)
Szymon Maksymiuk, Alicja Gosiewska, Przemyslaw Biecek
Landscape of R packages for eXplainable Artificial Intelligence. CoRR (2020)
Michael Bücker, Gero Szepannek, Alicja Gosiewska, Przemyslaw Biecek
Transparency, Auditability and eXplainability of Machine Learning Models in Credit Scoring. CoRR (2020)
Katarzyna Woznica, Przemyslaw Biecek
Towards better understanding of meta-features contributions. CoRR (2020)
Michal Kuzba, Przemyslaw Biecek
What Would You Ask the Machine Learning Model? Identification of User Needs for Model Explanations Based on Human-Model Conversations. CoRR (2020)
Rafal Cylwa, Kornel Kielczewski, Marta Machnik, Urszula Oleksiewicz, Przemyslaw Biecek
KRAB ZNF explorer - the online tool for the exploration of the transcriptomic profiles of KRAB-ZNF factors in The Cancer Genome Atlas. Bioinform. 36 (3) (2020)
Alicja Gosiewska, Przemyslaw Biecek
Lifting Interpretability-Performance Trade-off via Automated Feature Engineering. CoRR (2020)
Hubert Baniecki, Przemyslaw Biecek
The Grammar of Interactive Explanatory Model Analysis. CoRR (2020)
Adam Gabriel Dobrakowski, Agnieszka Mykowiecka, Malgorzata Marciniak, Wojciech Jaworski, Przemyslaw Biecek
Interpretable Segmentation of Medical Free-Text Records Based on Word Embeddings. ISMIS (2020)
Andreas Holzinger, Anna Saranti, Christoph Molnar, Przemyslaw Biecek, Wojciech Samek
Explainable AI Methods - A Brief Overview. xxAI@ICML (2020)
Alicja Gosiewska, Mateusz Bakala, Katarzyna Woznica, Maciej Zwolinski, Przemyslaw Biecek
EPP: interpretable score of model predictive power. CoRR (2019)
Mateusz Staniak, Przemyslaw Biecek
The Landscape of R Packages for Automated Exploratory Data Analysis. CoRR (2019)
Kamil Romaszko, Magda Tatarynowicz, Mateusz Urbanski, Przemyslaw Biecek
modelDown: automated website generator with interpretable documentation for predictive machine learning models. J. Open Source Softw. 4 (38) (2019)
Katarzyna Kobylinska, Tomasz Mikolajczyk, Mariusz Adamek, Tadeusz Orlowski, Przemyslaw Biecek
Explainable Machine Learning for Modeling of Early Postoperative Mortality in Lung Cancer. KR4HC/ProHealth/TEAAM@AIME (2019)
Hubert Baniecki, Przemyslaw Biecek
modelStudio: Interactive Studio with Explanations for ML Predictive Models. J. Open Source Softw. 4 (43) (2019)
Tomasz Stanislawek, Anna Wróblewska, Alicja Wójcicka, Daniel Ziembicki, Przemyslaw Biecek
Named Entity Recognition - Is there a glass ceiling? CoRR (2019)
Adam Gabriel Dobrakowski, Agnieszka Mykowiecka, Malgorzata Marciniak, Wojciech Jaworski, Przemyslaw Biecek
Clustering of Medical Free-Text Records Based on Word Embeddings. CoRR (2019)
Alicja Gosiewska, Przemyslaw Biecek
iBreakDown: Uncertainty of Model Explanations for Non-additive Predictive Models. CoRR (2019)
Tomasz Stanislawek, Anna Wróblewska, Alicja Wójcicka, Daniel Ziembicki, Przemyslaw Biecek
Named Entity Recognition - Is There a Glass Ceiling? CoNLL (2019)

Przemyslaw Biecek.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Przemyslaw Biecek