Lukasz Struski

Samuel Rodriguez Bernabeu

Pawel M. Morkisz

Przemyslaw Spurek

Tomasz Trzcinski

Expert Syst. Appl., 2024

InfoDisent: Explainability of Image Classification Models by Information Disentanglement.

[BibT_eX]

[DOI]

CoRR, 2024

PrAViC: Probabilistic Adaptation Framework for Real-Time Video Classification.

[BibT_eX]

[DOI]

CoRR, 2024

Multiple instance learning for medical image classification based on instance importance.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., 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

MeVGAN: GAN-based Plugin Model for Video Generation with Applications in Colonoscopy.

[BibT_eX]

[DOI]

CoRR, 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

r-softmax: Generalized Softmax with Controllable Sparsity Rate.

[BibT_eX]

[DOI]

Proceedings of the Computational Science - ICCS 2023, 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

ProPML: Probability Partial Multi-label Learning.

[BibT_eX]

[DOI]

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

Bounding Evidence and Estimating Log-Likelihood in VAE.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

OneFlow: One-Class Flow for Anomaly Detection Based on a Minimal Volume Region.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

LocoGAN - Locally convolutional GAN.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2022

ProPaLL: Probabilistic Partial Label Learning.

[BibT_eX]

[DOI]

Bartosz Zielinski

CoRR, 2022

MisConv: Convolutional Neural Networks for Missing Data.

[BibT_eX]

[DOI]

Marcin Przewiezlikowski

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

HyperPocket: Generative Point Cloud Completion.

[BibT_eX]

[DOI]

Slawomir Konrad Tadeja

Tomasz Trzcinski

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Interpretable Image Classification with Differentiable Prototypes Assignment.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Pharmacoprint: A Combination of a Pharmacophore Fingerprint and Artificial Intelligence as a Tool for Computer-Aided Drug Design.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2021

Flow-based SVDD for anomaly detection.

[BibT_eX]

[DOI]

CoRR, 2021

SONG: Self-Organizing Neural Graphs.

[BibT_eX]

[DOI]

CoRR, 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

Missing Glow Phenomenon: Learning Disentangled Representation of Missing Data.

[BibT_eX]

[DOI]

Marcin Sendera

Przemyslaw Spurek

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

2020

A classification-based approach to semi-supervised clustering with pairwise constraints.

[BibT_eX]

[DOI]

Mário A. T. Figueiredo

Neural Networks, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Flow-based anomaly detection.

[BibT_eX]

[DOI]

CoRR, 2020

Pointed Subspace Approach to Incomplete Data.

[BibT_eX]

[DOI]

J. Classif., 2020

Iterative Imputation of Missing Data Using Auto-Encoder Dynamics.

[BibT_eX]

[DOI]

Mário A. T. Figueiredo

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Estimating Conditional Density of Missing Values Using Deep Gaussian Mixture Model.

[BibT_eX]

[DOI]

Marcin Przewiezlikowski

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Spatial Graph Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Processing of Incomplete Images by (Graph) Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019

Projected memory clustering.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2019

Generalized RBF kernel for incomplete data.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2019

Geometric Graph Convolutional Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Independent Component Analysis based on multiple data-weighting.

[BibT_eX]

[DOI]

CoRR, 2019

Interpolation in generative models.

[BibT_eX]

[DOI]

CoRR, 2019

Set Aggregation Network as a Trainable Pooling Layer.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018

Fast independent component analysis algorithm with a simple closed-form solution.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2018

Lossy compression approach to subspace clustering.

[BibT_eX]

[DOI]

Przemyslaw Spurek

Inf. Sci., 2018

Deep processing of structured data.

[BibT_eX]

[DOI]

CoRR, 2018

Cascade context encoder for improved inpainting.

[BibT_eX]

[DOI]

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

2017

Semi-supervised model-based clustering with controlled clusters leakage.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2017

2016

Incomplete data representation for SVM classification.

[BibT_eX]

[DOI]

CoRR, 2016

2012

Strict localization of eigenvectors and eigenvalues

[BibT_eX]

[DOI]