Maciej Zieba

Proceedings of the IGARSS 2024, 2024

NeRFlame: Flame-Based Conditioning of NeRF for 3D Face Rendering.

[BibT_eX]

[DOI]

Proceedings of the Computational Science - ICCS 2024, 2024

Modeling 3D Surfaces with a Locally Conditioned Atlas.

[BibT_eX]

[DOI]

Proceedings of the Computational Science - ICCS 2024, 2024

Probabilistically Plausible Counterfactual Explanations with Normalizing Flows.

[BibT_eX]

[DOI]

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

RegFlow: Probabilistic Flow-Based Regression for Future Prediction.

[BibT_eX]

[DOI]

Proceedings of the Recent Challenges in Intelligent Information and Database Systems, 2024

Self-supervised Adversarial Masking for 3D Point Cloud Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Information and Database Systems - 16th Asian Conference, 2024

2023

The general framework for few-shot learning by kernel HyperNetworks.

[BibT_eX]

[DOI]

Marcin Sendera

Mach. Vis. Appl., July, 2023

Continual learning on 3D point clouds with random compressed rehearsal.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., February, 2023

MultiPlaneNeRF: Neural Radiance Field with Non-Trainable Representation.

[BibT_eX]

[DOI]

CoRR, 2023

NeRFlame: FLAME-based conditioning of NeRF for 3D face rendering.

[BibT_eX]

[DOI]

CoRR, 2023

HyperNeRFGAN: Hypernetwork approach to 3D NeRF GAN.

[BibT_eX]

[DOI]

CoRR, 2023

Generic projections of the H<sub>4</sub> configuration of points.

[BibT_eX]

[DOI]

Paulina Wisniewska

Adv. Appl. Math., 2023

HyperShot: Few-Shot Learning by Kernel HyperNetworks.

[BibT_eX]

[DOI]

Marcin Sendera

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

CenterlinePointNet++: A New Point Cloud Based Architecture for Coronary Artery Pressure Drop and vFFR Estimation.

[BibT_eX]

[DOI]

Patryk Rygiel

Pawel Pluszka

Tomasz K. Konopczynski

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Modeling Uncertainty in Personalized Emotion Prediction with Normalizing Flows.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

TreeFlow: Going Beyond Tree-Based Parametric Probabilistic Regression.

[BibT_eX]

[DOI]

Patryk Wielopolski

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

Classical Out-of-Distribution Detection Methods Benchmark in Text Classification Tasks.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2023

Flow Plugin Network for Conditional Generation.

[BibT_eX]

[DOI]

Patryk Wielopolski

Michal Koperski

Proceedings of the Intelligent Information and Database Systems - 15th Asian Conference, 2023

2022

General Hypernetwork Framework for Creating 3D Point Clouds.

[BibT_eX]

[DOI]

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

Two-headed eye-segmentation approach for biometric identification.

[BibT_eX]

[DOI]

CoRR, 2022

TreeFlow: Going beyond Tree-based Gaussian Probabilistic Regression.

[BibT_eX]

[DOI]

Patryk Wielopolski

CoRR, 2022

HyperMAML: Few-Shot Adaptation of Deep Models with Hypernetworks.

[BibT_eX]

[DOI]

CoRR, 2022

FlowHMM: Flow-based continuous hidden Markov models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Eigenvector Grouping for Point Cloud Vessel Labeling.

[BibT_eX]

[DOI]

Patryk Rygiel

Tomasz K. Konopczynski

Proceedings of the Geometric Deep Learning in Medical Image Analysis, 2022

PluGeN: Multi-Label Conditional Generation from Pre-trained Models.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Representing point clouds with generative conditional invertible flow networks.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2021

Modeling 3D Surface Manifolds with a Locally Conditioned Atlas.

[BibT_eX]

[DOI]

CoRR, 2021

Non-Gaussian Gaussian Processes for Few-Shot Regression.

[BibT_eX]

[DOI]

Massimiliano Patacchiola

Tomasz Trzcinski

Przemyslaw Spurek

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Adversarial autoencoders for compact representations of 3D point clouds.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2020

HyperFlow: Representing 3D Objects as Surfaces.

[BibT_eX]

[DOI]

CoRR, 2020

UCSG-NET- Unsupervised Discovering of Constructive Solid Geometry Tree.

[BibT_eX]

[DOI]

Kacper Kania

Tomasz Kajdanowicz

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Hypernetwork approach to generating point clouds.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Generative Modeling in Application to Point Cloud Completion.

[BibT_eX]

[DOI]

Maciej Zamorski

Proceedings of the Artificial Intelligence and Soft Computing, 2020

Semi-supervised Representation Learning for 3D Point Clouds.

[BibT_eX]

[DOI]

Adrian Zdobylak

Proceedings of the Intelligent Information and Database Systems - 12th Asian Conference, 2020

Comparison of Aggregation Functions for 3D Point Clouds Classification.

[BibT_eX]

[DOI]

Maciej Zamorski

Proceedings of the Intelligent Information and Database Systems - 12th Asian Conference, 2020

Post-training Quantization Methods for Deep Learning Models.

[BibT_eX]

[DOI]

Piotr Kluska

Proceedings of the Intelligent Information and Database Systems - 12th Asian Conference, 2020

2019

Conditional Invertible Flow for Point Cloud Generation.

[BibT_eX]

[DOI]

CoRR, 2019

Generative Adversarial Networks: Recent Developments.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence and Soft Computing, 2019

Semi-supervised Learning with Bidirectional GANs.

[BibT_eX]

[DOI]

Maciej Zamorski

Proceedings of the Intelligent Information and Database Systems - 11th Asian Conference, 2019

2018

Adversarial Autoencoders for Generating 3D Point Clouds.

[BibT_eX]

[DOI]

CoRR, 2018

NMRNet: a deep learning approach to automated peak picking of protein NMR spectra.

[BibT_eX]

[DOI]

Bioinform., 2018

Gaussian process regression for automated signal tracking in step-wise perturbed Nuclear Magnetic Resonance spectra.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2018

BinGAN: Learning Compact Binary Descriptors with a Regularized GAN.

[BibT_eX]

[DOI]

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

2017

Training Triplet Networks with GAN.

[BibT_eX]

[DOI]

Lei Wang

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction.

[BibT_eX]

[DOI]

Sebastian K. Tomczak

Expert Syst. Appl., 2016

Self-paced Learning for Imbalanced Data.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Information and Database Systems - 8th Asian Conference, 2016

2015

Boosted SVM with active learning strategy for imbalanced data.

[BibT_eX]

[DOI]

Soft Comput., 2015

Probabilistic combination of classification rules and its application to medical diagnosis.

[BibT_eX]

[DOI]

Mach. Learn., 2015

Classification Restricted Boltzmann Machine for comprehensible credit scoring model.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2015

RBM-SMOTE: Restricted Boltzmann Machines for Synthetic Minority Oversampling Technique.

[BibT_eX]

[DOI]

Adam Gonczarek

Proceedings of the Intelligent Information and Database Systems - 7th Asian Conference, 2015

2014

Boosted SVM for extracting rules from imbalanced data in application to prediction of the post-operative life expectancy in the lung cancer patients.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2014

Selecting right questions with Restricted Boltzmann Machines.

[BibT_eX]

[DOI]

Krzysztof Brzostowski

Proceedings of the Progress in Systems Engineering, 2014

2013

On-line bayesian context change detection in web service systems.

[BibT_eX]

[DOI]

Jakub Mikolaj Tomczak

Proceedings of the 2013 international workshop on Hot topics in cloud services, 2013

Cost Sensitive SVM with Non-informative Examples Elimination for Imbalanced Postoperative Risk Management Problem.

[BibT_eX]

[DOI]

Marek Lubicz

Proceedings of the Advances in Systems Science, 2013

Ensemble SVM for imbalanced data and missing values in postoperative risk management.

[BibT_eX]

[DOI]

Proceedings of the IEEE 15th International Conference on e-Health Networking, 2013

2012

Ensemble Classifier for Solving Credit Scoring Problems.

[BibT_eX]

[DOI]

Proceedings of the Technological Innovation for Value Creation, 2012

2011

On some method for limited services selection.

[BibT_eX]

[DOI]

Agnieszka Prusiewicz

Int. J. Intell. Inf. Database Syst., 2011

The Proposal of Service Oriented Data Mining System for Solving Real-Life Classification and Regression Problems.

[BibT_eX]

[DOI]

Agnieszka Prusiewicz

Proceedings of the Technological Innovation for Sustainability, 2011

Analysis of Human Arm Motions Recognition Algorithms for System to Visualize Virtual Arm.

[BibT_eX]

[DOI]

Krzysztof Brzostowski

Proceedings of the 21st International Conference on Systems Engineering (ICSEng 2011), 2011

2010

Services Recommendation in Systems Based on Service Oriented Architecture by Applying Modified ROCK Algorithm.

[BibT_eX]

[DOI]

Agnieszka Prusiewicz