| 2023 | FedCSIS | PolEval 2022/23 Challenge Tasks and Results. | Lukasz Kobylinski, Maciej Ogrodniczuk, Piotr Rybak, Piotr Przybyla, Piotr Pezik, Agnieszka Mikolajczyk, Wojciech Janowski, Michal Marcinczuk, Aleksander Smywinski-Pohl |
| 2023 | ICCS | Transferable Keyword Extraction and Generation with Text-to-Text Language Models. | Piotr Pezik, Agnieszka Mikolajczyk, Adam Wawrzynski, Filip Zarnecki, Bartlomiej Niton, Maciej Ogrodniczuk |
| 2022 | ACIIDS | Keyword Extraction from Short Texts with a Text-to-Text Transfer Transformer. | Piotr Pezik, Agnieszka Mikolajczyk, Adam Wawrzynski, Bartlomiej Niton, Maciej Ogrodniczuk |
| 2022 | MICCAI | The (de)biasing Effect of GAN-Based Augmentation Methods on Skin Lesion Images. | Agnieszka Mikolajczyk, Sylwia Majchrowska, Sandra Carrasco Limeros |
| 2021 | ASRU | Joint Prediction of Truecasing and Punctuation for Conversational Speech in Low-Resource Scenarios. | Raghavendra Pappagari, Piotr Zelasko, Agnieszka Mikolajczyk, Piotr Pezik, Najim Dehak |
| 2020 | ICAISC | Explainable AI for Inspecting Adversarial Attacks on Deep Neural Networks. | Zuzanna Klawikowska, Agnieszka Mikolajczyk, Michal Grochowski |
| 2019 | MMAR | Style transfer-based image synthesis as an efficient regularization technique in deep learning. | Agnieszka Mikolajczyk, Michal Grochowski |
| 2018 | MMAR | Optimal Selection of Input Features and an Acompanying Neural Network Structure for the Classification Purposes - Skin Lesions Case Study. | Agnieszka Mikolajczyk, Michal Grochowski, Arkadiusz Kwasigroch |
| 2017 | MMAR | Deep neural networks approach to skin lesions classification - A comparative analysis. | Arkadiusz Kwasigroch, Agnieszka Mikolajczyk, Michal Grochowski |