E-mail:    jlseixasjr (at) inf (dot) elte (dot) hu

Links:                  

Short biography

Holds a Bachelor’s and Master’s Degree in Computer Science from the State University of Londrina (UEL – Brazil). Former collaborating professor in Computer Science course at State University of Paraná and State University of Londrina (UNESPAR and UEL – Brazil). Emphasis on Digital Image Processing and Applied Machine Learning.

Research interests: Image Processing, and Machine Learning

Publications @ELTE:

J. L. Seixas, T. Horváth: “KNN Algorithm with DTW Distance for Signature Classification of Wine Leaves”. In: Martin, Holeňa; Tomáš, Horváth; Alica, Kelemenová; František, Mráz; Dana, Pardubská; Martin, Plátek; Petr, Sosík (eds.) Proceedings of the 20th Conference Information Technologies – Applications and Theory (ITAT 2020) CEUR-WS, (2020) pp. 130-136. (link to the article)

A. Balawi, A. Al Zoabi, J. L. Seixas, T. Horváth: “Classification of a Small Imbalanced Dataset of Vine Leaves Images using Deep Learning Techniques“. In: Martin, Holeňa; Tomáš, Horváth; Alica, Kelemenová; František, Mráz; Dana, Pardubská; Martin, Plátek; Petr, Sosík (eds.) Proceedings of the 20th Conference Information Technologies – Applications and Theory (ITAT 2020) CEUR-WS, (2020) pp. 108-114. (link to the article)