£ukasz Struski
Title
Cited by
Cited by
Year
Processing of missing data by neural networks
M Smieja, £ Struski, J Tabor, B Zieliński, P Spurek
arXiv preprint arXiv:1805.07405, 2018
492018
Generalized RBF kernel for incomplete data
M ¦mieja, £ Struski, J Tabor, M Marzec
Knowledge-Based Systems 173, 150-162, 2019
192019
Generalized RBF kernel for incomplete data
M ¦mieja, £ Struski, J Tabor, M Marzec
Knowledge-Based Systems 173, 150-162, 2019
192019
A classification-based approach to semi-supervised clustering with pairwise constraints
M ¦mieja, £ Struski, MAT Figueiredo
Neural Networks 127, 193-203, 2020
152020
Geometric graph convolutional neural networks
P Spurek, T Danel, J Tabor, M Smieja, L Struski, A Slowik, L Maziarka
arXiv preprint arXiv:1909.05310, 2019
13*2019
Lossy compression approach to subspace clustering
£ Struski, J Tabor, P Spurek
Information Sciences 435, 161-183, 2018
112018
Semi-supervised model-based clustering with controlled clusters leakage
M ¦mieja, £ Struski, J Tabor
Expert Systems with Applications 85, 146-157, 2017
52017
Can auto-encoders help with filling missing data?
M ¦mieja, M Ko³omycki, £ Struski, M Juda, MAT Figueiredo
ICLR 2020 Workshop on Integration of Deep Neural Models and Differential …, 2020
42020
Semi-supervised model-based clustering with controlled clusters leakage.
M Smieja, L Struski, J Tabor
Expert Syst. Appl. 85, 146-157, 2017
32017
Cone-fields without constant orbit core dimension
£ Struski, J Tabor, T Ku³aga
Discrete & Continuous Dynamical Systems 32 (10), 3651, 2012
32012
Incomplete data representation for SVM classification
L Struski, M Smieja, J Tabor
arXiv preprint arXiv:1612.01480, 2016
22016
Expansivity and cone-fields in metric spaces
£ Struski, J Tabor
Journal of Dynamics and Differential Equations 26 (3), 517-527, 2014
22014
ProtoPShare: Prototype Sharing for Interpretable Image Classification and Similarity Discovery
D Rymarczyk, £ Struski, J Tabor, B Zieliński
arXiv preprint arXiv:2011.14340, 2020
12020
Iterative imputation of missing data using auto-encoder dynamics
M ¦mieja, M Ko³omycki, £ Struski, M Juda, MAT Figueiredo
International Conference on Neural Information Processing, 258-269, 2020
12020
Estimating conditional density of missing values using deep gaussian mixture model
M Przewiź¼likowski, M ¦mieja, £ Struski
International Conference on Neural Information Processing, 220-231, 2020
12020
Processing of incomplete images by (graph) convolutional neural networks
T Danel, M ¦mieja, £ Struski, P Spurek, £ Maziarka
International Conference on Neural Information Processing, 512-523, 2020
12020
Flow-based anomaly detection
£ Maziarka, M ¦mieja, M Sendera, £ Struski, J Tabor, P Spurek
arXiv preprint arXiv:2010.03002, 2020
12020
Set Aggregation Network as a Trainable Pooling Layer
£ Maziarka, M ¦mieja, A Nowak, J Tabor, £ Struski, P Spurek
International Conference on Neural Information Processing, 419-431, 2019
12019
Deep processing of structured data
£ Maziarka, M ¦mieja, A Nowak, J Tabor, £ Struski, P Spurek
12018
Pointed subspace approach to incomplete data
£ Struski, M ¦mieja, J Tabor
arXiv preprint arXiv:1705.00840, 2017
12017
The system can't perform the operation now. Try again later.
Articles 1–20