Bartosz Zielinski

Mateusz Pyla

Marek Smieja

Knowl. Based Syst., 2024

Parameter-Efficient Interventions for Enhanced Model Merging.

[BibT_eX]

[DOI]

Marcin Osial

Daniel Marczak

CoRR, 2024

Beyond [cls]: Exploring the true potential of Masked Image Modeling representations.

[BibT_eX]

[DOI]

CoRR, 2024

OMENN: One Matrix to Explain Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2024

LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision.

[BibT_eX]

[DOI]

CoRR, 2024

Revisiting FunnyBirds Evaluation Framework for Prototypical Parts Networks.

[BibT_eX]

[DOI]

Szymon Oplatek

Proceedings of the Explainable Artificial Intelligence, 2024

A Deep Cut Into Split Federated Self-Supervised Learning.

[BibT_eX]

[DOI]

Marcin Osial

Marek Smieja

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Divide and not forget: Ensemble of selectively trained experts in Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

ProtoNCD: Prototypical Parts for Interpretable Novel Class Discovery.

[BibT_eX]

[DOI]

Proceedings of the 32nd European Symposium on Artificial Neural Networks, 2024

AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and Scale.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Zero-Waste Machine Learning.

[BibT_eX]

[DOI]

Tomasz Trzcinski

Kamil Adamczewski

Bartosz Wójcik

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Identifying Bacteria Species on Microscopic Polyculture Images Using Deep Learning.

[BibT_eX]

[DOI]

Adriana Borowa

Dorota Ochonska

Agnieszka Sroka-Oleksiak

IEEE J. Biomed. Health Informatics, 2023

Token Recycling for Efficient Sequential Inference with Vision Transformers.

[BibT_eX]

[DOI]

CoRR, 2023

Beyond Grids: Exploring Elastic Input Sampling for Vision Transformers.

[BibT_eX]

[DOI]

CoRR, 2023

Augmentation-aware Self-supervised Learning with Guided Projector.

[BibT_eX]

[DOI]

Mateusz Pyla

Marek Smieja

CoRR, 2023

Visual Probing: Cognitive Framework for Explaining Self-Supervised Image Representations.

[BibT_eX]

[DOI]

IEEE Access, 2023

SONGs: Self-Organizing Neural Graphs.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Active Visual Exploration Based on Attention-Map Entropy.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

ICICLE: Interpretable Class Incremental Continual Learning.

[BibT_eX]

[DOI]

Joost van de Weijer

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

ProMIL: Probabilistic Multiple Instance Learning for Medical Imaging.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

CompLung: Comprehensive Computer-Aided Diagnosis of Lung Cancer.

[BibT_eX]

[DOI]

Adam Pardyl

Joanna Jaworek-Korjakowska

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

ProPML: Probability Partial Multi-label Learning.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

2022

ProPaLL: Probabilistic Partial Label Learning.

[BibT_eX]

[DOI]

Lukasz Struski

CoRR, 2022

ProtoMIL: Multiple Instance Learning with Prototypical Parts for Whole-Slide Image Classification.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Automating Patient-Level Lung Cancer Diagnosis in Different Data Regimes.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Which Visual Features Impact the Performance of Target Task in Self-supervised Learning?

[BibT_eX]

[DOI]

Proceedings of the Computational Science - ICCS 2022, 2022

Weakly-Supervised Cell Classification for Effective High Content Screening.

[BibT_eX]

[DOI]

Proceedings of the Computational Science - ICCS 2022, 2022

Interpretable Image Classification with Differentiable Prototypes Assignment.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

ProtoMIL: Multiple Instance Learning with Prototypical Parts for Fine-Grained Interpretability.

[BibT_eX]

[DOI]

CoRR, 2021

SONG: Self-Organizing Neural Graphs.

[BibT_eX]

[DOI]

CoRR, 2021

Persistence codebooks for topological data analysis.

[BibT_eX]

[DOI]

Artif. Intell. Rev., 2021

Kernel Self-Attention for Weakly-supervised Image Classification using Deep Multiple Instance Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Comparison of Supervised and Self-Supervised Deep Representations Trained on Histological Images.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Deep learning classification of bacteria clones explained by persistence homology.

[BibT_eX]

[DOI]

Adriana Borowa

Dorota Ochonska

Proceedings of the International Joint Conference on Neural Networks, 2021

Explaining Self-Supervised Image Representations with Visual Probing.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

What Pushes Self-supervised Image Representations Away?

[BibT_eX]

[DOI]

Michal Górszczak

Proceedings of the Neural Information Processing - 28th International Conference, 2021

2020

Classifying bacteria clones using attention-based deep multiple instance learning interpreted by persistence homology.

[BibT_eX]

[DOI]

Adriana Borowa

Dorota Ochonska

CoRR, 2020

ProtoPShare: Prototype Sharing for Interpretable Image Classification and Similarity Discovery.

[BibT_eX]

[DOI]

CoRR, 2020

Kernel Self-Attention in Deep Multiple Instance Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Deep learning approach to describe and classify fungi microscopic images.

[BibT_eX]

[DOI]

Agnieszka Sroka-Oleksiak

Adam Piekarczyk

CoRR, 2020

2019

Deep learning approach to description and classification of fungi microscopic images.

[BibT_eX]

[DOI]

Agnieszka Sroka-Oleksiak

Adam Piekarczyk

CoRR, 2019

Variational auto-encoders for generating feature-preserving automata.

[BibT_eX]

Proceedings of the Eleventh Workshop on Non-Classical Models of Automata and Applications, 2019

Persistence Bag-of-Words for Topological Data Analysis.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

A machine learning approach to synchronization of automata.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2018

A study on topological descriptors for the analysis of 3D surface texture.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2018

Cascade context encoder for improved inpainting.

[BibT_eX]

[DOI]

CoRR, 2018

Persistence Codebooks for Topological Data Analysis.

[BibT_eX]

[DOI]

Mateusz Juda

Matthias Zeppelzauer

CoRR, 2018

Processing of missing data by neural networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2016

Fully-Automatic Method for Assessment of Flow-Mediated Dilation.

[BibT_eX]

[DOI]

Agata Drózdz

Marzena Frolow

Proceedings of the Computer Vision and Graphics - International Conference, 2016

RoughCut-New Approach to Segment High-Resolution Images.

[BibT_eX]

[DOI]

Mateusz Babiuch

Marek Skomorowski

Proceedings of the Artificial Intelligence and Soft Computing, 2016

Topological Descriptors for 3D Surface Analysis.

[BibT_eX]

[DOI]

Proceedings of the Computational Topology in Image Context - 6th International Workshop, 2016

2015

Computer aided erosions and osteophytes detection based on hand radiographs.

[BibT_eX]

[DOI]

Pattern Recognit., 2015

Schmid Filter and Inpainting in Computer-Aided Erosions and Osteophytes Detection Based on Hand Radiographs.

[BibT_eX]

[DOI]

Marek Skomorowski

Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015, 2015

2014

A new approach to automatic continuous artery diameter measurement.

[BibT_eX]

[DOI]

Proceedings of the 2014 Federated Conference on Computer Science and Information Systems, 2014

2011

A Shape Description Language for Osteophytes Detection in Upper Surfaces of the Metacarpophalangeal Joints.

[BibT_eX]

[DOI]

Proceedings of the Computer Recognition Systems 4, 2011

Modified Jakubowski Shape Transducer for Detecting Osteophytes and Erosions in Finger Joints.

[BibT_eX]

[DOI]

Proceedings of the Adaptive and Natural Computing Algorithms, 2011

2010

Global extremes analysis in applications of discrete tomography.

[BibT_eX]

Leszek Nowak

Bio Algorithms Med Syst., 2010

Application of Shape Description Methodology to Hand Radiographs Interpretation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision and Graphics - International Conference, 2010

Identifying the Borders of the Upper and Lower Metacarpophalangeal Joint Surfaces on Hand Radiographs.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence and Soft Computing, 2010

2009

Hand Radiograph Analysis and Joint Space Location Improvement for Image Interpretation.

[BibT_eX]

[DOI]

Schedae Informaticae, 2009

A Fuzzy Shape Descriptor and Inference by Fuzzy Relaxation with Application to Description of Bones Contours at Hand Radiographs.

[BibT_eX]

[DOI]

Marzena Bielecka

Marek Skomorowski

Proceedings of the Adaptive and Natural Computing Algorithms, 9th International Conference, 2009

2008

Hand radiographs preprocessing, image representation in the finger regions and joint space width measurements for image interpretation.

[BibT_eX]

[DOI]

Andrzej Bielecki

Mariusz Korkosz