Agnieszka Mikolajczyk

According to our database, Agnieszka Mikolajczyk authored at least 19 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Targeted Data Augmentation for bias mitigation.

Agnieszka Mikolajczyk-Barela, Maria Ferlin, Michal Grochowski

CoRR, 2023

A survey on bias in machine learning research.

Agnieszka Mikolajczyk-Barela, Michal Grochowski

CoRR, 2023

Data augmentation and explainability for bias discovery and mitigation in deep learning.

Agnieszka Mikolajczyk-Barela

CoRR, 2023

On the Importance of Sign Labeling: The Hamburg Sign Language Notation System Case Study.

Maria Ferlin, Sylwia Majchrowska, Marta A. Plantykow, Alicja Kwasniwska, Agnieszka Mikolajczyk-Barela, Milena Olech, Jakub Nalepa

CoRR, 2023

Transferable Keyword Extraction and Generation with Text-to-Text Language Models.

Piotr Pezik, Agnieszka Mikolajczyk, Adam Wawrzynski, Filip Zarnecki, Bartlomiej Niton, Maciej Ogrodniczuk

Proceedings of the Computational Science - ICCS 2023, 2023

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

Proceedings of the 18th Conference on Computer Science and Intelligence Systems, 2023

2022

The (de)biasing Effect of GAN-Based Augmentation Methods on Skin Lesion Images.

Agnieszka Mikolajczyk, Sylwia Majchrowska, Sandra Carrasco Limeros

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Keyword Extraction from Short Texts with a Text-to-Text Transfer Transformer.

Piotr Pezik, Agnieszka Mikolajczyk, Adam Wawrzynski, Bartlomiej Niton, Maciej Ogrodniczuk

Proceedings of the Recent Challenges in Intelligent Information and Database Systems, 2022

2021

Towards Explainable Classifiers Using the Counterfactual Approach - Global Explanations for Discovering Bias in Data.

Agnieszka Mikolajczyk, Michal Grochowski, Arkadiusz Kwasigroch

J. Artif. Intell. Soft Comput. Res., 2021

Waste detection in Pomerania: non-profit project for detecting waste in environment.

Sylwia Majchrowska, Agnieszka Mikolajczyk, Maria Ferlin, Zuzanna Klawikowska, Marta A. Plantykow, Arkadiusz Kwasigroch, Karol Majek

CoRR, 2021

Joint Prediction of Truecasing and Punctuation for Conversational Speech in Low-Resource Scenarios.

Raghavendra Pappagari, Piotr Zelasko, Agnieszka Mikolajczyk, Piotr Pezik, Najim Dehak

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

2020

Global explanations for discovering bias in data.

Agnieszka Mikolajczyk, Michal Grochowski, Arkadiusz Kwasigroch

CoRR, 2020

Neural Architecture Search for Skin Lesion Classification.

Arkadiusz Kwasigroch, Michal Grochowski, Agnieszka Mikolajczyk

IEEE Access, 2020

Explainable AI for Inspecting Adversarial Attacks on Deep Neural Networks.

Zuzanna Klawikowska, Agnieszka Mikolajczyk, Michal Grochowski

Proceedings of the Artificial Intelligence and Soft Computing, 2020

2019

Style transfer-based image synthesis as an efficient regularization technique in deep learning.

Agnieszka Mikolajczyk, Michal Grochowski

Proceedings of the 24th International Conference on Methods and Models in Automation and Robotics, 2019

2018

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

Proceedings of the 23rd International Conference on Methods & Models in Automation & Robotics, 2018

2017

Deep neural networks approach to skin lesions classification - A comparative analysis.

Arkadiusz Kwasigroch, Agnieszka Mikolajczyk, Michal Grochowski

Proceedings of the 22nd International Conference on Methods and Models in Automation and Robotics, 2017

Intelligent system supporting diagnosis of malignant melanoma.

Agnieszka Mikolajczyk, Arkadiusz Kwasigroch, Michal Grochowski

Proceedings of the Trends in Advanced Intelligent Control, Optimization and Automation - Proceedings of KKA 2017, 2017

Deep convolutional neural networks as a decision support tool in medical problems - malignant melanoma case study.

Arkadiusz Kwasigroch, Agnieszka Mikolajczyk, Michal Grochowski

Proceedings of the Trends in Advanced Intelligent Control, Optimization and Automation - Proceedings of KKA 2017, 2017