Kamila Lis
Research interests: artificial intelligence, machine learning
Kamila Lis is interested in using machine learning in the tasks of anomaly detection in time series and image processing. Her work deals with user verification based on behavioral characteristics – information about how a website or application is used. She is a PhD student at the TIB PAN Doctoral School.
Selected Publications
Articles
Kamila Lis, Wojciech Szynkiewicz, Ewa Niewiadomska-Szynkiewicz, Konrad Ciecierski, "Wykrywanie anomalii w zachowaniu robota usługowego z wykorzystaniem sieci LSTM", 16. Krajowa Konferencja Robotyki – Postępy robotyki, 197, 2022, 211–222.
Kamila Lis, Mateusz Koryciński, Konrad Ciecierski, "Classification of masked image data", PLOS One, 16(7), 2021, e0254181.