Research
Publications, talks & academic work
talks & presentations
Czy liczby mogą zamienić się w myśli? O przełomowych treningach dużych modeli językowych
I ❤️ AI / I ❤️ Marketing & Technology, sprawny.marketing
Jak region może skorzystać na rewolucji AI? ↗
Igrzyska Wolności, EXPO Łódź — co-organized with Urząd Marszałkowski Woj. Łódzkiego & Puls Biznesu
The chatbots of tomorrow: Agentic Design Patterns in LLMs ↗
Infoshare — DATAMASS STAGE
GenAI bez tajemnic: nietechnicznie o technologii ↗
I ❤️ Marketing & Technology, 17th edition
LLM Use Cases in Production ↗
AI in Production Conference / MLOps Community
Czy AI rozumie świat tak jak człowiek? ↗
Po nitce do klienta Podcast
TRURL.AI ↗
Instytut Podstaw Informatyki PAN
TRURL.AI – The First Polish Alternative to ChatGPT ↗
Warsaw.ai — Episode XIX
Polska potrzebuje 2000 sztuk GPU ↗
Nieliniowy Podcast
HearAI: Towards Deep Learning-Based Sign Language Recognition ↗
Infoshare — ARENA STAGE, AI/ML Tech4Good track
Data Science for Social Good ↗
DataTalks.Club / DSSG Portugal
AI, Acoustics & Ornithology for sound-based bird classification
WiMLDS Poznań, OLX office
Introduction to Explainable AI: why should we understand AI decisions? ↗
AI Bay Meeting, Gdańsk
Brief introduction to XAI ↗
Gradient, GUT
publications
2025
A Survey on Bias in Machine Learning Research
Mikołajczyk-Bareła A., Grochowski M.
IEEE Access, vol. 14, pp. 3284–3311 · 2025
Targeted Data Augmentation for Improving Model Robustness
Mikołajczyk-Bareła A., Ferlin M., Grochowski M.
International Journal of Applied Mathematics and Computer Science, vol. 35, no. 1, pp. 143–155, De Gruyter · 2025
2024
Quantifying Inconsistencies in the Hamburg Sign Language Notation System
Ferlin M., Majchrowska S., Plantykow M., Kwaśniewska A., Mikołajczyk-Bareła A., Olech M., Nalepa J.
Expert Systems with Applications, vol. 256, Pergamon · 2024
2023
Transferable Keyword Extraction and Generation with Text-to-Text Language Models
Pęzik P., Mikołajczyk A., Wawrzyński A., Żarnecki F., Nitoń B., Ogrodniczuk M.
International Conference on Computational Science (ICCS), pp. 398–405, Springer · 2023
Data Augmentation and Explainability for Bias Discovery and Mitigation in Deep Learning
Mikołajczyk-Bareła A.
PhD thesis (arXiv:2308.09464) · 2023
On the Importance of Sign Labeling: The Hamburg Sign Language Notation System Case Study
Ferlin M., Majchrowska S., Plantykow M., Kwaśniewska A., Mikołajczyk-Bareła A., Olech M., Nalepa J.
arXiv:2302.10768 · 2023
PolEval 2022/23 Challenge Tasks and Results
Kobyliński Ł., Ogrodniczuk M., Rybak P., Przybyła P., Pęzik P., Mikołajczyk A., et al.
18th Conference on Computer Science and Intelligence Systems (FedCSIS), pp. 1243–1250, IEEE · 2023
2022
Deep Learning-Based Waste Detection in Natural and Urban Environments
Majchrowska S., Mikołajczyk A., Ferlin M., Klawikowska Z., Plantykow M.A., Kwasigroch A., Majek K.
Waste Management, vol. 138, pp. 274–284, Elsevier · 2022
The (De)biasing Effect of GAN-Based Augmentation Methods on Skin Lesion Images
Mikołajczyk A., Majchrowska S., Carrasco Limeros S.
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), pp. 437–447, Springer · 2022
2021
Towards Explainable Classifiers Using the Counterfactual Approach — Global Explanations for Discovering Bias in Data
Mikołajczyk A., Grochowski M., Kwasigroch A.
Journal of Artificial Intelligence and Soft Computing Research, vol. 11, no. 1, pp. 51–67 · 2021
A Comprehensive Analysis of Deep Neural-Based Cerebral Microbleeds Detection System
Ferlin M.A., Grochowski M., Kwasigroch A., Mikołajczyk A., Szurowska E., Grzywińska M., Sabisz A.
Electronics, vol. 10, no. 18, p. 2208 · 2021
Joint Prediction of Truecasing and Punctuation for Conversational Speech in Low-Resource Scenarios
Pappagari R., Żelasko P., Mikołajczyk A., Pęzik P., Dehak N.
IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), pp. 1185–1191, IEEE · 2021
PolEval 2021 Task 1: Punctuation Restoration from Read Text
Mikołajczyk A., Wawrzyński A., Pęzik P., Adamczyk M., Kaczmarek A., Janowski W.
Proceedings of the PolEval 2021 Workshop · 2021
Waste Detection in Pomerania: Non-Profit Project for Detecting Waste in the Environment
Majchrowska S., Mikołajczyk A., Ferlin M., Klawikowska Z., Plantykow M.A., Kwasigroch A., Majek K.
arXiv:2105.06808 · 2021
2020
Neural Architecture Search for Skin Lesion Classification
Kwasigroch A., Grochowski M., Mikołajczyk A.
IEEE Access, vol. 8, pp. 9061–9071 · 2020
Explainable AI for Inspecting Adversarial Attacks on Deep Neural Networks
Klawikowska Z., Mikołajczyk A., Grochowski M.
International Conference on Artificial Intelligence and Soft Computing, pp. 134–146, Springer · 2020
Self-Supervised Learning to Increase the Performance of Skin Lesion Classification
Kwasigroch A., Grochowski M., Mikołajczyk A.
Electronics, vol. 9, no. 11, p. 1930 · 2020
2019
Style Transfer-Based Image Synthesis as an Efficient Regularization Technique in Deep Learning
Mikołajczyk A., Grochowski M.
24th International Conference on Methods and Models in Automation and Robotics (MMAR) · 2019
Selected Technical Issues of Deep Neural Networks for Image Classification Purposes
Grochowski M., Kwasigroch A., Mikołajczyk A.
Bulletin of the Polish Academy of Sciences: Technical Sciences, vol. 67, no. 2, pp. 363–376 · 2019
Diagnosis of Malignant Melanoma by Neural Network Ensemble-Based System Utilising Hand-Crafted Skin Lesion Features
Grochowski M., Mikołajczyk A., Kwasigroch A.
Metrology and Measurement Systems, vol. 26, no. 1, pp. 65–80 · 2019
Machine Learning System for Automated Blood Smear Analysis
Grochowski M., Wąsowicz M., Mikołajczyk A., Ficek M., Kulka M., Wróbel M., Jędrzejewska-Szczerska M.
Metrology and Measurement Systems, vol. 26, no. 1, pp. 81–93 · 2019
2018
Data Augmentation for Improving Deep Learning in Image Classification Problem
Mikołajczyk A., Grochowski M.
International Interdisciplinary PhD Workshop (IIPhDW), pp. 117–122, IEEE · 2018
Optimal Selection of Input Features and an Accompanying Neural Network Structure — Skin Lesions Case Study
Mikołajczyk A., Grochowski M., Kwasigroch A.
23rd International Conference on Methods and Models in Automation and Robotics (MMAR), pp. 899–904, IEEE · 2018
2017
Intelligent System Supporting Diagnosis of Malignant Melanoma
Mikołajczyk A., Kwasigroch A., Grochowski M.
Polish Control Conference, pp. 828–837, Springer · 2017
Deep Convolutional Neural Networks as a Decision Support Tool in Medical Problems — Malignant Melanoma Case Study
Kwasigroch A., Mikołajczyk A., Grochowski M.
Polish Control Conference, pp. 848–856, Springer · 2017
Deep Neural Networks Approach to Skin Lesions Classification — A Comparative Analysis
Kwasigroch A., Mikołajczyk A., Grochowski M.
22nd International Conference on Methods and Models in Automation and Robotics (MMAR), pp. 1069–1074, IEEE · 2017
Computer Aided Detection of Abnormal Erythrocytes
Wąsowicz M., Grochowski M., Kulka M., Mikołajczyk A., Ficek M., Karpieńko K., Cićkiewicz M.
The Second International Conference, International Society for Optics and Photonics · 2017
2016
Zero Phase Shift Digital Filtering for Assessment of Exposure to Non-Sinusoidal Magnetic Fields
Lisewski T., Mikołajczyk A., Abramik S., Ruciński M.
International Symposium on Electromagnetic Compatibility (EMC EUROPE), pp. 497–500, IEEE · 2016
Analiza znamion skórnych przy pomocy metod przetwarzania obrazu i algorytmów inteligencji obliczeniowej
Mikołajczyk-Bareła A.
Przemysłowy Instytut Automatyki i Pomiarów PIAP · 2016