Konrad Żołna

15 papers and 80 indexed citations i.

Konrad Żołna has authored 15 papers that have received a total of 80 indexed citations. This includes 10 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Control and Systems Engineering. The topics of these papers are Reinforcement Learning in Robotics (4 papers), Adversarial Robustness in Machine Learning (4 papers) and Anomaly Detection Techniques and Applications (3 papers). Konrad Żołna is often cited by papers focused on Reinforcement Learning in Robotics (4 papers), Adversarial Robustness in Machine Learning (4 papers) and Anomaly Detection Techniques and Applications (3 papers) and collaborates with scholars based in Poland, Canada and United States. Konrad Żołna's co-authors include Kyunghyun Cho, Yoshua Bengio, Alexander Novikov, Krzysztof J. Geras and Scott Reed and has published in prestigious journals such as Mechanical Systems and Signal Processing, Computer Vision and Image Understanding and Mathematical Problems in Engineering