Michal Wozniak

professor

University of Wrocław

Poland

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Professor Michal Wozniak is a faculty member at Wrocław University of Technology in Poland. His research interests encompass artificial intelligence, multi-objective optimization, and remote sensing image analysis, as evidenced by his recent publications. Notable works include a comparative analysis of AI and human cognition, innovative methods for face forgery detection, and advancements in natural gas consumption forecasting.

Michal Wozniak

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Articles (21)

Artificial Intelligence vs. Human Cognition: A Comparative Analysis of ChatGPT and Candidates Sitting the European Board of Ophthalmology Diploma Examination

Mf-net: multi-feature fusion network based on two-stream extraction and multi-scale enhancement for face forgery detection

SR_ColorNet: Multi-path attention aggregated and mask enhanced network for the super resolution and colorization of panchromatic image

<i>MOO</i>-<i>Points</i> - Distance-based Method for Multi-objective Optimization in the Imbalanced Data Classification Task

A natural gas consumption forecasting system for continual learning scenarios based on Hoeffding trees with change point detection mechanism

Artificial intelligence and the scientific method: How to cope with a complete oxymoron

Continual Learning with Weight Interpolation

DMF-Net: A Dual Remote Sensing Image Fusion Network Based on Multiscale Convolutional Dense Connectivity With Performance Measure

How to break big tech's stranglehold on AI in academia

Local neighborhood encodings for imbalanced data classification

Active Weighted Aging Ensemble for drifted data stream classification

Alphabet Flatting as a variant of n-gram feature extraction method in ensemble classification of fake news

SVM ensemble training for imbalanced data classification using multi-objective optimization techniques

Adapting K-Means Algorithm for Pair-Wise Constrained Clustering of Imbalanced Data Streams

An analysis of heuristic metrics for classifier ensemble pruning based on ordered aggregation

Cybersecurity applications of computational intelligence

Deterministic Sampling Classifier with weighted Bagging for drifted imbalanced data stream classification

Employing Generative Adversarial Network in COVID-19 Diagnosis

Employing chunk size adaptation to overcome concept drift

How Machine Learning May Prevent the Breakdown of Democracy by Contributing to Fake News Detection

Multicriteria Classifier Ensemble Learning for Imbalanced Data

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tristan bourcier

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