Simon Bilik - RankMe

18 papers Journal 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Towards automatic smoke detector inspection: Recognition of the smoke detectors in industrial facilities and preparation for future drone integration. CoRR Lukas Kratochvila, Jakub Stefansky, Simon Bilik, Robert Rous, Tomás Zemcík, Michal Wolny, Frantisek Rusnak, Ondrej Cech, Karel Horák
2025	J	`jnl`	Towards Varroa destructor mite detection using a narrow spectra illumination. CoRR Samuel Bielik, Simon Bilik
2024	J	`jnl`	Computer Vision Approaches for Automated Bee Counting Application. CoRR Simon Bilik, Ilona Janakova, Adam Ligocki, Dominik Ficek, Karel Horák
2024	—	`—`	Detekce anomálií při vizuální inspekci v průmyslových a biologických datech ; Anomaly detection for the visual inspection of industrial and biological data. Simon Bilik
2024	J	`jnl`	Machine learning and computer vision techniques in continuous beehive monitoring applications: A survey. Comput. Electron. Agric. Simon Bilik, Tomás Zemcík, Lukas Kratochvila, Dominik Ricanek, Miloslav Richter, Sebastian Zambanini, Karel Horák
2024	J	`jnl`	Multi-Unit Floor Plan Recognition and Reconstruction Using Improved Semantic Segmentation of Raster-Wise Floor Plans. CoRR Lukas Kratochvila, Gijs de Jong, Monique Arkesteijn, Simon Bilik, Tomás Zemcík, Karel Horák, Jan S. Rellermeyer
2024	J	`jnl`	Varroa destructor detection on honey bees using hyperspectral imagery. Comput. Electron. Agric. Zina-Sabrina Duma, Tomás Zemcík, Simon Bilik, Tuomas Sihvonen, Peter Honec, Satu-Pia Reinikainen, Karel Horák
2024	J	`jnl`	Varroa destructor detection on honey bees using hyperspectral imagery. CoRR Zina-Sabrina Duma, Tomás Zemcík, Simon Bilik, Tuomas Sihvonen, Peter Honec, Satu-Pia Reinikainen, Karel Horák
2023	J	`jnl`	Raspberry Pi Bee Health Monitoring Device. CoRR Jakub Nevlacil, Simon Bilik, Karel Horák
2023	J	`jnl`	Structure Analysis of the FRP Rebar Using Computer Vision Techniques. CoRR Juraj Lagin, Simon Bilik
2023	J	`jnl`	Toward phytoplankton parasite detection using autoencoders. Mach. Vis. Appl. Simon Bilik, Daniel Batrakhanov, Tuomas Eerola, Lumi Haraguchi, Kaisa Kraft, Silke Van den Wyngaert, Jonna Kangas, Conny Sjöqvist, Karin Madsen, Lasse Lensu, Heikki Kälviäinen, Karel Horák
2023	J	`jnl`	Towards Phytoplankton Parasite Detection Using Autoencoders. CoRR Simon Bilik, Daniel Batrakhanov, Tuomas Eerola, Lumi Haraguchi, Kaisa Kraft, Silke Van den Wyngaert, Jonna Kangas, Conny Sjöqvist, Karin Madsen, Lasse Lensu, Heikki Kälviäinen, Karel Horák
2022	J	`jnl`	Feature space reduction as data preprocessing for the anomaly detection. CoRR Simon Bilik, Karel Horák
2022	J	`jnl`	Machine Learning and Computer Vision Techniques in Bee Monitoring Applications. CoRR Simon Bilik, Ondrej Bostik, Lukas Kratochvila, Adam Ligocki, Matej Poncak, Tomás Zemcík, Milos Richter, Ilona Janakova, Petr Honec, Karel Horák
2022	J	`jnl`	SIFT and SURF based feature extraction for the anomaly detection. CoRR Simon Bilik, Karel Horák
2021	J	`jnl`	Semi-supervised deep learning approach to break common CAPTCHAs. Neural Comput. Appl. Ondrej Bostik, Karel Horák, Lukas Kratochvila, Tomás Zemcík, Simon Bilik
2021	J	`jnl`	Visual Diagnosis of the Varroa Destructor Parasitic Mite in Honeybees Using Object Detector Techniques. Sensors Simon Bilik, Lukas Kratochvila, Adam Ligocki, Ondrej Bostik, Tomás Zemcík, Matous Hybl, Karel Horák, Ludek Zalud
2021	J	`jnl`	Visual diagnosis of the Varroa destructor parasitic mite in honeybees using object detector techniques. CoRR Simon Bilik, Lukas Kratochvila, Adam Ligocki, Ondrej Bostik, Tomás Zemcík, Matous Hybl, Karel Horák, Ludek Zalud