Michal Koziarski
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
13
Venues
10
Active years
2016–2025
Best venue rank
A*
Where they publish
Papers
13 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Action abstractions for amortized sampling. | Oussama Boussif, Lna Nhale Ezzine, Joseph D. Viviano, Michal Koziarski, Moksh Jain, Nikolay Malkin, Emmanuel Bengio, Rim Assouel, Yoshua Bengio |
| 2024 | ICLR | Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets. | Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, Samuel Maddrell-Mander, Callum McLean, Frederik Wenkel, Luis Mller, Jama Hussein Mohamud, Ali Parviz, Michael Craig, Michal Koziarski, Jiarui Lu, Zhaocheng Zhu, Cristian Gabellini, Kerstin Klaser, Josef Dean, Cas Wognum, Maciej Sypetkowski, Guillaume Rabusseau, Reihaneh Rabbany, Jian Tang, Christopher Morris, Mirco Ravanelli, Guy Wolf, Prudencio Tossou, Hadrien Mary, Therence Bois, Andrew W. Fitzgibbon, Blazej Banaszewski, Chad Martin, Dominic Masters |
| 2023 | GECCO | Optimized hybrid imbalanced data sampling for decision tree training. | Weronika Wegier, Michal Koziarski, Michal Wozniak |
| 2021 | DSAA | RB-CCR: Radial-Based Combined Cleaning and Resampling algorithm for imbalanced data classification. | Michal Koziarski, Colin Bellinger, Michal Wozniak |
| 2021 | IJCNN | CSMOUTE: Combined Synthetic Oversampling and Undersampling Technique for Imbalanced Data Classification. | Michal Koziarski |
| 2021 | IJCNN | Two-Stage Resampling for Convolutional Neural Network Training in the Imbalanced Colorectal Cancer Image Classification. | Michal Koziarski |
| 2019 | ICANN | Breast Cancer Classification on Histopathological Images Affected by Data Imbalance Using Active Learning and Deep Convolutional Neural Network. | Bogdan Kwolek, Michal Koziarski, Andrzej Bukala, Zbigniew Antosz, Boguslaw Olborski, Pawel Wasowicz, Jakub Swadzba, Boguslaw Cyganek |
| 2018 | ICPR | Marine Snow Removal Using a Fully Convolutional 3D Neural Network Combined with an Adaptive Median Filter. | Michal Koziarski, Boguslaw Cyganek |
| 2018 | ICPR | Convolutional Neural Network-Based Classification of Histopathological Images Affected by Data Imbalance. | Michal Koziarski, Bogdan Kwolek, Boguslaw Cyganek |
| 2017 | HAIS | Radial-Based Approach to Imbalanced Data Oversampling. | Michal Koziarski, Bartosz Krawczyk, Michal Wozniak |
| 2016 | FedCSIS | Forming Classifier Ensembles with Deterministic Feature Subspaces. | Michal Koziarski, Bartosz Krawczyk, Michal Wozniak |
| 2016 | ICAISC | Examination of the Deep Neural Networks in Classification of Distorted Signals. | Michal Koziarski, Boguslaw Cyganek |
| 2016 | ICCVG | Deep Neural Image Denoising. | Michal Koziarski, Boguslaw Cyganek |