Pechenizkiy, Mykola

A survey on concept drift adaptation

Gama, J., Žliobaitė, I., Bifet, A., Pechenizkiy, M., & Bouchachia, A. (2014) · ACM Computing Surveys

Data Stream Mining TechniquesDomain Adaptation and Few-Shot Learning

Cited by 3,735

Building Classifiers with Independency Constraints

Calders, T., Kamiran, F., & Pechenizkiy, M. (2009) · 2009 IEEE International Conference on Data Mining Workshops

Machine Learning and Data ClassificationMachine Learning and Algorithms

Cited by 468

Discrimination Aware Decision Tree Learning

Kamiran, F., Calders, T., & Pechenizkiy, M. (2010) · 2010 IEEE International Conference on Data Mining

Ethics and Social Impacts of AIPrivacy-Preserving Technologies in Data

Cited by 303

Stress detection from speech and Galvanic Skin Response signals

Kurniawan, H., Maslov, A. V., & Pechenizkiy, M. (2013) · Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems

Emotion and Mood RecognitionHeart Rate Variability and Autonomic Control

Cited by 227

The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training

Liu, S., Chen, T., Chen, X., Shen, L., Mocanu, D. C., Wang, Z., & Pechenizkiy, M. (2022) · arXiv

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 43

Algorithmic Unfairness through the Lens of EU Non-Discrimination Law: Or Why the Law is not a Decision Tree

Weerts, H., Xenidis, R., Tarissan, F., Olsen, H. P., & Pechenizkiy, M. (2023) · 2023 ACM Conference on Fairness Accountability and Transparency

Ethics and Social Impacts of AIDiscrimination and Equality Law

Cited by 34

CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models

Zhao, J., Fang, M., Shi, Z., Li, Y., Chen, L., & Pechenizkiy, M. (2023) · arXiv

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 31

CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models

Zhao, J., Fang, M., Shi, Z., Li, Y., Chen, L., & Pechenizkiy, M. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 14

Investigating Potential Factors Associated with Gender Discrimination in Collaborative Recommender Systems

Mansoury, M., Abdollahpouri, H., Smith, J., Dehpanah, A., Pechenizkiy, M., & Mobasher, B. (2020) · arXiv

Recommender Systems and TechniquesEthics and Social Impacts of AI

Cited by 11