Dawid Rymarczyk
Orcid: 0000-0002-8543-5200
According to our database1,
Dawid Rymarczyk
authored at least 25 papers
between 2019 and 2024.
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Bibliography
2024
LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision.
CoRR, 2024
Proceedings of the Explainable Artificial Intelligence, 2024
Proceedings of the 32nd European Symposium on Artificial Neural Networks, 2024
Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
IEEE J. Biomed. Health Informatics, 2023
CoRR, 2023
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
ProGReST: Prototypical Graph Regression Soft Trees for Molecular Property Prediction.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
2022
ProtoMIL: Multiple Instance Learning with Prototypical Parts for Whole-Slide Image Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Proceedings of the Neural Information Processing - 29th International Conference, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
2021
ProtoMIL: Multiple Instance Learning with Prototypical Parts for Fine-Grained Interpretability.
CoRR, 2021
Kernel Self-Attention for Weakly-supervised Image Classification using Deep Multiple Instance Learning.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021
Comparison of Supervised and Self-Supervised Deep Representations Trained on Histological Images.
Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021
ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classification.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
Classifying bacteria clones using attention-based deep multiple instance learning interpreted by persistence homology.
CoRR, 2020
ProtoPShare: Prototype Sharing for Interpretable Image Classification and Similarity Discovery.
CoRR, 2020
2019
Deep learning approach to description and classification of fungi microscopic images.
CoRR, 2019