Przemyslaw Biecek - researchr alias

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Viewing Publication 1 - 69 from 69

2025

Interpretable machine learning for time-to-event prediction in medicine and healthcareHubert Baniecki, Bartlomiej Sobieski, Patryk Szatkowski, Przemyslaw Bombinski, Przemyslaw Biecek. artmed, 159:103026, 2025. [doi]

Exploring local explanations of nonlinear models using animated linear projectionsNicholas Spyrison, Dianne Cook, Przemyslaw Biecek. cstat, 40(2):1071-1095, February 2025. [doi]

2024

On the Robustness of Global Feature Effect ExplanationsHubert Baniecki, Giuseppe Casalicchio, Bernd Bischl, Przemyslaw Biecek. pkdd 2024: 125-142 [doi]

The grammar of interactive explanatory model analysisHubert Baniecki, Dariusz Parzych, Przemyslaw Biecek. datamine, 38(5):2596-2632, September 2024. [doi]

Adversarial attacks and defenses in explainable artificial intelligence: A surveyHubert Baniecki, Przemyslaw Biecek. inffus, 107:102303, 2024. [doi]

Towards a crowdsourced framework for online hate speech moderation - a case study in the Indian political scenarioAvigyan Bhattacharya, Tapabrata Chakraborti, Subhadip Basu, Alistair Knott, Dino Pedreschi, Raja G. Chatila, Susan Leavy, David M. Eyers, Paul D. Teal, Przemyslaw Biecek. WebSci 2024: 75-84 [doi]

Position: Explain to Question not to JustifyPrzemyslaw Biecek, Wojciech Samek. icml 2024: [doi]

SRFAMap: A Method for Mapping Integrated Gradients of a CNN Trained with Statistical Radiomic Features to Medical Image Saliency MapsOleksandr Davydko, Vladimir Pavlov, Przemyslaw Biecek, Luca Longo. xai 2024: 3-23 [doi]

Antibody selection strategies and their impact in predicting clinical malaria based on multi-sera dataAndré Fonseca, Mikolaj Spytek, Przemyslaw Biecek, Clara Cordeiro, Nuno Sepúlveda. biodatamining, 17(1), 2024. [doi]

Big Tech influence over AI research revisited: Memetic analysis of attribution of ideas to affiliationStanislaw Gizinski, Paulina Kaczynska, Hubert Ruczynski, Emilia Wisnios, Bartosz Pielinski, Przemyslaw Biecek, Julian Sienkiewicz. joi, 18(4):101572, 2024. [doi]

CNN-Based Explanation Ensembling for Dataset, Representation and Explanations EvaluationWeronika Hryniewska-Guzik, Luca Longo, Przemyslaw Biecek. xai 2024: 346-368 [doi]

LIMEcraft: handcrafted superpixel selection and inspection for Visual eXplanationsWeronika Hryniewska, Adrianna Grudzien, Przemyslaw Biecek. ml, 113(5):3143-3160, May 2024. [doi]

Red-Teaming Segment Anything ModelKrzysztof Jankowski, Bartlomiej Sobieski, Mateusz Kwiatkowski, Jakub Szulc, Michal Janik, Hubert Baniecki, Przemyslaw Biecek. cvpr 2024: 2947-2956 [doi]

Exploration of the Rashomon Set Assists Trustworthy Explanations for Medical DataKatarzyna Kobylinska, Mateusz Krzyzinski, Rafal Machowicz, Mariusz Adamek, Przemyslaw Biecek. titb, 28(11):6454-6465, November 2024. [doi]

Swin SMT: Global Sequential Modeling for Enhancing 3D Medical Image SegmentationSzymon Plotka, Maciej Chrabaszcz, Przemyslaw Biecek. miccai 2024: 689-698 [doi]

Global Counterfactual DirectionsBartlomiej Sobieski, Przemyslaw Biecek. eccv 2025: 72-90 [doi]

Position: Do Not Explain Vision Models Without ContextPaulina Tomaszewska, Przemyslaw Biecek. icml 2024: [doi]

Resistance Against Manipulative AI: Key Factors and Possible ActionsPiotr Wilczynski, Wiktoria Mieleszczenko-Kowszewicz, Przemyslaw Biecek. ecai 2024: 802-809 [doi]

Consolidated learning: a domain-specific model-free optimization strategy with validation on metaMIMIC benchmarksKatarzyna Woznica, Mateusz Grzyb, Zuzanna Trafas, Przemyslaw Biecek. ml, 113(7):4925-4949, July 2024. [doi]

2023

Hospital Length of Stay Prediction Based on Multi-modal Data Towards Trustworthy Human-AI Collaboration in RadiomicsHubert Baniecki, Bartlomiej Sobieski, Przemyslaw Bombinski, Patryk Szatkowski, Przemyslaw Biecek. aime 2023: 65-74 [doi]

Generative AI models should include detection mechanisms as a condition for public releaseAlistair Knott, Dino Pedreschi, Raja Chatila 0001, Tapabrata Chakraborti, Susan Leavy, Ricardo Baeza-Yates, David M. Eyers, Andrew Trotman, Paul D. Teal, Przemyslaw Biecek, Stuart Russell 0001, Yoshua Bengio. ethicsit, 25(4):55, December 2023. [doi]

Towards Evaluating Explanations of Vision Transformers for Medical ImagingPiotr Komorowski, Hubert Baniecki, Przemyslaw Biecek. xai4cv 2023: 3726-3732 [doi]

Towards Evaluating Explanations of Vision Transformers for Medical ImagingPiotr Komorowski, Hubert Baniecki, Przemyslaw Biecek. cvpr 2023: 3726-3732 [doi]

SurvSHAP(t): Time-dependent explanations of machine learning survival modelsMateusz Krzyzinski, Mikolaj Spytek, Hubert Baniecki, Przemyslaw Biecek. kbs, 262:110234, February 2023. [doi]

survex: an R package for explaining machine learning survival modelsMikolaj Spytek, Mateusz Krzyzinski, Sophie Hanna Langbein, Hubert Baniecki, Marvin N. Wright, Przemyslaw Biecek. bioinformatics, 39(12), December 2023. [doi]

The Effect of Balancing Methods on Model Behavior in Imbalanced Classification ProblemsAdrian Stando, Mustafa Cavus, Przemyslaw Biecek. lidta 2023: 16-30 [doi]

2022

Fooling Partial Dependence via Data PoisoningHubert Baniecki, Wojciech Kretowicz, Przemyslaw Biecek. pkdd 2023: 121-136 [doi]

Manipulating SHAP via Adversarial Data Perturbations (Student Abstract)Hubert Baniecki, Przemyslaw Biecek. AAAI 2022: 12907-12908 [doi]

Transparency, auditability, and explainability of machine learning models in credit scoringMichael Bücker, Gero Szepannek, Alicja Gosiewska, Przemyslaw Biecek. jors, 73(1):70-90, 2022. [doi]

Explainable expected goal models for performance analysis in football analyticsMustafa Cavus, Przemyslaw Biecek. dsaa 2022: 1-9 [doi]

Interpretable Meta-Score for Model Performance: Extended AbstractAlicja Gosiewska, Katarzyna Woznica, Przemyslaw Biecek. ecml 2022: 75-77 [doi]

Interpretable meta-score for model performanceAlicja Gosiewska, Katarzyna Woznica, Przemyslaw Biecek. natmi, 4(9):792-800, September 2022. [doi]

A robust framework to investigate the reliability and stability of explainable artificial intelligence markers of Mild Cognitive Impairment and Alzheimer's DiseaseAngela Lombardi, Domenico Diacono, Nicola Amoroso, Przemyslaw Biecek, Alfonso Monaco, Loredana Bellantuono, Ester Pantaleo, Giancarlo Logroscino, Roberto De Blasi, Sabina Tangaro, Roberto Bellotti. braininf, 9(1):17, 2022. [doi]

fairmodels: a Flexible Tool for Bias Detection, Visualization, and Mitigation in Binary Classification ModelsJakub Wisniewski, Przemyslaw Biecek. rjour, 14(1):227-243, 2022. [doi]

2021

Responsible Prediction Making of COVID-19 Mortality (Student Abstract)Hubert Baniecki, Przemyslaw Biecek. AAAI 2021: 15755-15756 [doi]

dalex: Responsible Machine Learning with Interactive Explainability and Fairness in PythonHubert Baniecki, Wojciech Kretowicz, Piotr Piatyszek, Jakub Wisniewski, Przemyslaw Biecek. jmlr, 22, 2021. [doi]

Interpretable segmentation of medical free-text records based on word embeddingsAdam Gabriel Dobrakowski, Agnieszka Mykowiecka 0001, Malgorzata Marciniak, Wojciech Jaworski, Przemyslaw Biecek. jiis, 57(3):447-465, 2021. [doi]

Simpler is better: Lifting interpretability-performance trade-off via automated feature engineeringAlicja Gosiewska, Anna Kozak, Przemyslaw Biecek. dss, 150:113556, 2021. [doi]

Checklist for responsible deep learning modeling of medical images based on COVID-19 detection studiesWeronika Hryniewska, Przemyslaw Bombinski, Patryk Szatkowski, Paulina Tomaszewska, Artur Przelaskowski, Przemyslaw Biecek. PR, 118:108035, 2021. [doi]

Supporting Doctor's Decisions Based on Electronic Medical Documentation in PolishWojciech Jaworski, Przemyslaw Biecek, Adam Gabriel Dobrakowski, Malgorzata Marciniak, Agnieszka Mykowiecka 0001, Agnieszka Morusiewicz, Joanna Przetacka, Lukasz Kaminski. medinfo 2022: 1076-1077 [doi]

Cleora: A Simple, Strong and Scalable Graph Embedding SchemeBarbara Rychalska, Piotr Babel, Konrad Goluchowski, Andrzej Michalowski, Jacek Dabrowski 0004, Przemyslaw Biecek. iconip 2021: 338-352 [doi]

Kleister: Key Information Extraction Datasets Involving Long Documents with Complex LayoutsTomasz Stanislawek, Filip Gralinski, Anna Wróblewska, Dawid Lipinski, Agnieszka Kaliska, Paulina Rosalska, Bartosz Topolski, Przemyslaw Biecek. icdar 2021: 564-579 [doi]

Towards Explainable Meta-learningKatarzyna Woznica, Przemyslaw Biecek. pkdd 2021: 505-520 [doi]

2020

2019

modelStudio: Interactive Studio with Explanations for ML Predictive ModelsHubert Baniecki, Przemyslaw Biecek. jossw, 4(43):1798, 2019. [doi]

auditor: an R Package for Model-Agnostic Visual Validation and DiagnosticsAlicja Gosiewska, Przemyslaw Biecek. rjour, 11(2):85, 2019. [doi]

Explainable Machine Learning for Modeling of Early Postoperative Mortality in Lung CancerKatarzyna Kobylinska, Tomasz Mikolajczyk, Mariusz Adamek, Tadeusz Orlowski, Przemyslaw Biecek. aime 2019: 161-174 [doi]

pyCeterisParibus: explaining Machine Learning models with Ceteris Paribus Profiles in PythonMichal Kuzba, Ewa Baranowska, Przemyslaw Biecek. jossw, 4(37):1389, 2019. [doi]

modelDown: automated website generator with interpretable documentation for predictive machine learning modelsKamil Romaszko, Magda Tatarynowicz, Mateusz Urbanski, Przemyslaw Biecek. jossw, 4(38):1444, 2019. [doi]

Models in the Wild: On Corruption Robustness of Neural NLP SystemsBarbara Rychalska, Dominika Basaj, Alicja Gosiewska, Przemyslaw Biecek. iconip 2019: 235-247 [doi]

The Landscape of R Packages for Automated Exploratory Data AnalysisMateusz Staniak, Przemyslaw Biecek. rjour, 11(2):347, 2019. [doi]

Named Entity Recognition - Is There a Glass Ceiling?Tomasz Stanislawek, Anna Wróblewska, Alicja Wójcicka, Daniel Ziembicki, Przemyslaw Biecek. conll 2019: 624-633 [doi]

2018

2017

Retrieval and Analysis of Eurostat Open Data with the eurostat PackageLeo Lahti, Janne Huovari, Markus Kainu, Przemyslaw Biecek. rjour, 9(1):385, 2017. [doi]

2011

Bi-Billboard: Symmetrization and Careful Choice of Informant Species Results in Higher Accuracy of Regulatory Element PredictionNorbert Dojer, Przemyslaw Biecek, Jerzy Tiuryn. jcb, 18(6):809-819, 2011. [doi]

Deregulation upon DNA damage revealed by joint analysis of context-specific perturbation dataEwa Szczurek, Florian Markowetz, Irit Gat-Viks, Przemyslaw Biecek, Jerzy Tiuryn, Martin Vingron. bmcbi, 12:249, 2011. [doi]

2010

Introducing Knowledge into Differential Expression AnalysisEwa Szczurek, Przemyslaw Biecek, Jerzy Tiuryn, Martin Vingron. jcb, 17(8):953-967, 2010. [doi]

2008

Optimisation of Asymmetric Mutational Pressure and Selection Pressure Around the Universal Genetic CodePawel Mackiewicz, Przemyslaw Biecek, Dorota Mackiewicz, Joanna Kiraga, Krystian Baczkowski, Maciej Sobczynski, Stanislaw Cebrat. iccS 2008: 100-109 [doi]

2007

Locating multiple interacting quantitative trait loci using robust model selectionAndreas Baierl, Andreas Futschik, Malgorzata Bogdan, Przemyslaw Biecek. csda, 51(12):6423-6434, 2007. [doi]

The role of intragenomic recombination rate in the evolution of population's genetic poolMarta Zawierta, Przemyslaw Biecek, Wojciech Waga, Stanislaw Cebrat. tib, 125(2):123-132, 2007. [doi]

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