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Agnieszka Mikolajczyk
Person information
- affiliation: Gdansk University of Technology, Gdansk, Poland
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2020 – today
- 2024
- [j3]Maria Ferlin
, Sylwia Majchrowska
Quantifying inconsistencies in the Hamburg Sign Language Notation System. Expert Syst. Appl. 256: 124911 (2024) - 2023
- [c11]Lukasz Kobylinski, Maciej Ogrodniczuk, Piotr Rybak, Piotr Przybyla, Piotr Pezik, Agnieszka Mikolajczyk, Wojciech Janowski, Michal Marcinczuk, Aleksander Smywinski-Pohl:
PolEval 2022/23 Challenge Tasks and Results. FedCSIS 2023: 1243-1250 - [c10]Piotr Pezik
Transferable Keyword Extraction and Generation with Text-to-Text Language Models. ICCS (2) 2023: 398-405 - [i10]Maria Ferlin, Sylwia Majchrowska, Marta A. Plantykow, Alicja Kwasniwska, Agnieszka Mikolajczyk-Barela, Milena Olech, Jakub Nalepa:
On the Importance of Sign Labeling: The Hamburg Sign Language Notation System Case Study. CoRR abs/2302.10768 (2023) - [i9]Agnieszka Mikolajczyk-Barela:
Data augmentation and explainability for bias discovery and mitigation in deep learning. CoRR abs/2308.09464 (2023) - [i8]Agnieszka Mikolajczyk-Barela, Michal Grochowski:
A survey on bias in machine learning research. CoRR abs/2308.11254 (2023) - [i7]Agnieszka Mikolajczyk-Barela, Maria Ferlin, Michal Grochowski:
Targeted Data Augmentation for bias mitigation. CoRR abs/2308.11386 (2023) - 2022
- [c9]Piotr Pezik
Keyword Extraction from Short Texts with a Text-to-Text Transfer Transformer. ACIIDS (Companion) 2022: 530-542 - [c8]Agnieszka Mikolajczyk
The (de)biasing Effect of GAN-Based Augmentation Methods on Skin Lesion Images. MICCAI (8) 2022: 437-447 - [i6]Agnieszka Mikolajczyk, Sylwia Majchrowska, Sandra Carrasco Limeros:
The (de)biasing effect of GAN-based augmentation methods on skin lesion images. CoRR abs/2206.15182 (2022) - [i5]Piotr Pezik, Agnieszka Mikolajczyk-Barela, Adam Wawrzynski, Bartlomiej Niton, Maciej Ogrodniczuk
Keyword Extraction from Short Texts with~a~Text-To-Text Transfer Transformer. CoRR abs/2209.14008 (2022) - 2021
- [j2]Agnieszka Mikolajczyk, Michal Grochowski, Arkadiusz Kwasigroch:
Towards Explainable Classifiers Using the Counterfactual Approach - Global Explanations for Discovering Bias in Data. J. Artif. Intell. Soft Comput. Res. 11(1): 51-67 (2021) - [c7]Raghavendra Pappagari, Piotr Zelasko, Agnieszka Mikolajczyk, Piotr Pezik
Joint Prediction of Truecasing and Punctuation for Conversational Speech in Low-Resource Scenarios. ASRU 2021: 1185-1191 - [i4]Sylwia Majchrowska
Waste detection in Pomerania: non-profit project for detecting waste in environment. CoRR abs/2105.06808 (2021) - [i3]Raghavendra Pappagari, Piotr Zelasko, Agnieszka Mikolajczyk, Piotr Pezik, Najim Dehak:
Joint prediction of truecasing and punctuation for conversational speech in low-resource scenarios. CoRR abs/2109.06103 (2021) - 2020
- [j1]Arkadiusz Kwasigroch
Neural Architecture Search for Skin Lesion Classification. IEEE Access 8: 9061-9071 (2020) - [c6]Zuzanna Klawikowska
Explainable AI for Inspecting Adversarial Attacks on Deep Neural Networks. ICAISC (1) 2020: 134-146 - [i2]Agnieszka Mikolajczyk, Michal Grochowski, Arkadiusz Kwasigroch:
Global explanations for discovering bias in data. CoRR abs/2005.02269 (2020)
2010 – 2019
- 2019
- [c5]Agnieszka Mikolajczyk, Michal Grochowski:
Style transfer-based image synthesis as an efficient regularization technique in deep learning. MMAR 2019: 42-47 - [i1]Agnieszka Mikolajczyk, Michal Grochowski:
Style transfer-based image synthesis as an efficient regularization technique in deep learning. CoRR abs/1905.10974 (2019) - 2018
- [c4]Agnieszka Mikolajczyk
Optimal Selection of Input Features and an Acompanying Neural Network Structure for the Classification Purposes - Skin Lesions Case Study. MMAR 2018: 899-904 - 2017
- [c3]Agnieszka Mikolajczyk
Intelligent system supporting diagnosis of malignant melanoma. KKA 2017: 828-837 - [c2]Arkadiusz Kwasigroch, Agnieszka Mikolajczyk
Deep convolutional neural networks as a decision support tool in medical problems - malignant melanoma case study. KKA 2017: 848-856 - [c1]Arkadiusz Kwasigroch, Agnieszka Mikolajczyk
Deep neural networks approach to skin lesions classification - A comparative analysis. MMAR 2017: 1069-1074
Coauthor Index
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last updated on 2024-12-10 20:52 CET by the dblp team
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