Lukasz Struski

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 61

Top Topics

Image Classification

Top Venues

Expert Syst. Appl.

Knowl. Based Syst.

Publications

Lukasz Struski, Adam Pardyl, Jacek Tabor, Bartosz Zielinski
ProPML: Probability Partial Multi-label Learning. CoRR (2024)
Mikolaj Sacha, Bartosz Jura, Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski
Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations. AAAI (2024)
Lukasz Struski, Pawel M. Morkisz, Przemyslaw Spurek, Samuel Rodriguez Bernabeu, Tomasz Trzcinski
Efficient GPU implementation of randomized SVD and its applications. Expert Syst. Appl. 248 (2024)
Lukasz Struski, Szymon Janusz, Jacek Tabor, Michal Markiewicz, Arkadiusz Lewicki
Multiple instance learning for medical image classification based on instance importance. Biomed. Signal Process. Control. 91 (2024)
Magdalena Tredowicz, Lukasz Struski, Marcin Mazur, Szymon Janusz, Arkadiusz Lewicki, Jacek Tabor
PrAViC: Probabilistic Adaptation Framework for Real-Time Video Classification. CoRR (2024)
Klaudia Balazy, Lukasz Struski, Marek Smieja, Jacek Tabor
r-softmax: Generalized Softmax with Controllable Sparsity Rate. CoRR (2023)
Klaudia Balazy, Lukasz Struski, Marek Smieja, Jacek Tabor
r-softmax: Generalized Softmax with Controllable Sparsity Rate. ICCS (2) (2023)
Mikolaj Sacha, Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski
ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts. WACV (2023)
Lukasz Struski, Tomasz Urbanczyk, Krzysztof Bucki, Bartlomiej Cupial, Aneta Kaczynska, Przemyslaw Spurek, Jacek Tabor
MeVGAN: GAN-based Plugin Model for Video Generation with Applications in Colonoscopy. CoRR (2023)
Mikolaj Sacha, Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski
ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts. CoRR (2023)
Lukasz Struski, Adam Pardyl, Jacek Tabor, Bartosz Zielinski
ProPML: Probability Partial Multi-label Learning. DSAA (2023)
Lukasz Struski, Dawid Rymarczyk, Arkadiusz Lewicki, Robert Sabiniewicz, Jacek Tabor, Bartosz Zielinski
ProMIL: Probabilistic Multiple Instance Learning for Medical Imaging. CoRR (2023)
Mikolaj Sacha, Bartosz Jura, Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski
Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations. CoRR (2023)
Lukasz Struski, Dawid Rymarczyk, Arkadiusz Lewicki, Robert Sabiniewicz, Jacek Tabor, Bartosz Zielinski
ProMIL: Probabilistic Multiple Instance Learning for Medical Imaging. ECAI (2023)
Lukasz Struski, Tomasz Danel, Marek Smieja, Jacek Tabor, Bartosz Zielinski
SONGs: Self-Organizing Neural Graphs. WACV (2023)
Lukasz Struski, Marcin Mazur, Pawel Batorski, Przemyslaw Spurek, Jacek Tabor
Bounding Evidence and Estimating Log-Likelihood in VAE. AISTATS (2023)
Marcin Przewiezlikowski, Marek Smieja, Lukasz Struski, Jacek Tabor
MisConv: Convolutional Neural Networks for Missing Data. WACV (2022)
Dawid Rymarczyk, Lukasz Struski, Michal Górszczak, Koryna Lewandowska, Jacek Tabor, Bartosz Zielinski
Interpretable Image Classification with Differentiable Prototypes Assignment. ECCV (12) (2022)
Lukasz Struski, Marcin Mazur, Pawel Batorski, Przemyslaw Spurek, Jacek Tabor
Bounding Evidence and Estimating Log-Likelihood in VAE. CoRR (2022)
Lukasz Struski, Szymon Knop, Przemyslaw Spurek, Wiktor Daniec, Jacek Tabor
LocoGAN - Locally convolutional GAN. Comput. Vis. Image Underst. 221 (2022)
Lukasz Struski, Jacek Tabor, Bartosz Zielinski
ProPaLL: Probabilistic Partial Label Learning. CoRR (2022)
Przemyslaw Spurek, Artur Kasymov, M. Mazur, Diana Janik, Slawomir Konrad Tadeja, Lukasz Struski, Jacek Tabor, Tomasz Trzcinski
HyperPocket: Generative Point Cloud Completion. IROS (2022)
Lukasz Maziarka, Marek Smieja, Marcin Sendera, Lukasz Struski, Jacek Tabor, Przemyslaw Spurek
OneFlow: One-Class Flow for Anomaly Detection Based on a Minimal Volume Region. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
Marcin Sendera, Marek Smieja, Lukasz Maziarka, Lukasz Struski, Przemyslaw Spurek, Jacek Tabor
Flow-based SVDD for anomaly detection. CoRR (2021)
Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski
ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classification. KDD (2021)
Dawid Warszycki, Lukasz Struski, Marek Smieja, Rafal Kafel, Rafal Kurczab
Pharmacoprint - a combination of pharmacophore fingerprint and artificial intelligence as a tool for computer-aided drug design. CoRR (2021)
Lukasz Struski, Pawel Morkisz, Przemyslaw Spurek, Samuel Rodriguez Bernabeu, Tomasz Trzcinski
Efficient GPU implementation of randomized SVD and its applications. CoRR (2021)
Przemyslaw Spurek, Artur Kasymov, Marcin Mazur, Diana Janik, Slawomir K. Tadeja, Lukasz Struski, Jacek Tabor, Tomasz Trzcinski
HyperPocket: Generative Point Cloud Completion. CoRR (2021)
Dawid Rymarczyk, Lukasz Struski, Michal Górszczak, Koryna Lewandowska, Jacek Tabor, Bartosz Zielinski
Interpretable Image Classification with Differentiable Prototypes Assignment. CoRR (2021)
Dawid Warszycki, Lukasz Struski, Marek Smieja, Rafal Kafel, Rafal Kurczab
Pharmacoprint: A Combination of a Pharmacophore Fingerprint and Artificial Intelligence as a Tool for Computer-Aided Drug Design. J. Chem. Inf. Model. 61 (10) (2021)
Lukasz Struski, Tomasz Danel, Marek Smieja, Jacek Tabor, Bartosz Zielinski
SONG: Self-Organizing Neural Graphs. CoRR (2021)
Marcin Sendera, Lukasz Struski, Przemyslaw Spurek
Missing Glow Phenomenon: Learning Disentangled Representation of Missing Data. ICONIP (5) (2021)
Marcin Przewiezlikowski, Marek Smieja, Lukasz Struski, Jacek Tabor
MisConv: Convolutional Neural Networks for Missing Data. CoRR (2021)
Tomasz Danel, Marek Smieja, Lukasz Struski, Przemyslaw Spurek, Lukasz Maziarka
Processing of Incomplete Images by (Graph) Convolutional Neural Networks. ICONIP (2) (2020)
Marek Smieja, Maciej Kolomycki, Lukasz Struski, Mateusz Juda, Mário A. T. Figueiredo
Iterative Imputation of Missing Data Using Auto-Encoder Dynamics. ICONIP (3) (2020)
Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski
ProtoPShare: Prototype Sharing for Interpretable Image Classification and Similarity Discovery. CoRR (2020)
Marcin Przewiezlikowski, Marek Smieja, Lukasz Struski
Estimating Conditional Density of Missing Values Using Deep Gaussian Mixture Model. ICONIP (3) (2020)
Lukasz Struski, Marek Smieja, Jacek Tabor
Pointed Subspace Approach to Incomplete Data. J. Classif. 37 (1) (2020)
Marek Smieja, Lukasz Struski, Mário A. T. Figueiredo
A Classification-Based Approach to Semi-Supervised Clustering with Pairwise Constraints. CoRR (2020)
Marek Smieja, Lukasz Struski, Mário A. T. Figueiredo
A classification-based approach to semi-supervised clustering with pairwise constraints. Neural Networks 127 (2020)
Lukasz Maziarka, Marek Smieja, Marcin Sendera, Lukasz Struski, Jacek Tabor, Przemyslaw Spurek
Flow-based anomaly detection. CoRR (2020)
Lukasz Struski, Szymon Knop, Jacek Tabor, Wiktor Daniec, Przemyslaw Spurek
LocoGAN - Locally Convolutional GAN. CoRR (2020)
Tomasz Danel, Przemyslaw Spurek, Jacek Tabor, Marek Smieja, Lukasz Struski, Agnieszka Slowik, Lukasz Maziarka
Spatial Graph Convolutional Networks. ICONIP (5) (2020)
Marcin Przewiezlikowski, Marek Smieja, Lukasz Struski
Estimating conditional density of missing values using deep Gaussian mixture model. CoRR (2020)
Tomasz Danel, Marek Smieja, Lukasz Struski, Przemyslaw Spurek, Lukasz Maziarka
Processing of incomplete images by (graph) convolutional neural networks. CoRR (2020)
Lukasz Struski, Przemyslaw Spurek, Jacek Tabor, Marek Smieja
Projected memory clustering. Pattern Recognit. Lett. 123 (2019)
Przemyslaw Spurek, Tomasz Danel, Jacek Tabor, Marek Smieja, Lukasz Struski, Agnieszka Slowik, Lukasz Maziarka
Geometric Graph Convolutional Neural Networks. CoRR (2019)
Andrzej Bedychaj, Przemyslaw Spurek, Lukasz Struski, Jacek Tabor
Independent Component Analysis based on multiple data-weighting. CoRR (2019)
Marek Smieja, Lukasz Struski, Jacek Tabor, Mateusz Marzec
Generalized RBF kernel for incomplete data. Knowl. Based Syst. 173 (2019)
Lukasz Maziarka, Marek Smieja, Aleksandra Nowak, Jacek Tabor, Lukasz Struski, Przemyslaw Spurek
Set Aggregation Network as a Trainable Pooling Layer. ICONIP (2) (2019)
Lukasz Struski, Jacek Tabor, Igor T. Podolak, Aleksandra Nowak
Interpolation in generative models. CoRR (2019)
Lukasz Struski, Jacek Tabor, Przemyslaw Spurek
Lossy compression approach to subspace clustering. Inf. Sci. 435 (2018)
Marek Smieja, Lukasz Struski, Jacek Tabor, Bartosz Zielinski, Przemyslaw Spurek
Processing of missing data by neural networks. NeurIPS (2018)
Bartosz Zielinski, Lukasz Struski, Marek Smieja, Jacek Tabor
Cascade context encoder for improved inpainting. CoRR (2018)
Przemyslaw Spurek, Jacek Tabor, Lukasz Struski, Marek Smieja
Fast independent component analysis algorithm with a simple closed-form solution. Knowl. Based Syst. 161 (2018)
Lukasz Maziarka, Marek Smieja, Aleksandra Nowak, Jacek Tabor, Lukasz Struski, Przemyslaw Spurek
Deep processing of structured data. CoRR (2018)
Marek Smieja, Lukasz Struski, Jacek Tabor, Bartosz Zielinski, Przemyslaw Spurek
Processing of missing data by neural networks. CoRR (2018)
Marek Smieja, Lukasz Struski, Jacek Tabor
Semi-supervised model-based clustering with controlled clusters leakage. CoRR (2017)
Lukasz Struski, Marek Smieja, Jacek Tabor
Pointed subspace approach to incomplete data. CoRR (2017)
Marek Smieja, Lukasz Struski, Jacek Tabor
Semi-supervised model-based clustering with controlled clusters leakage. Expert Syst. Appl. 85 (2017)
Lukasz Struski, Marek Smieja, Jacek Tabor
Incomplete data representation for SVM classification. CoRR (2016)
Lukasz Struski, Jacek Tabor
Strict localization of eigenvectors and eigenvalues CoRR (2012)