Machine Learning based System for Vessel Turnaround Time Prediction. - Dejan Stepec; Tomaz Martincic; Fabrice Klein; Daniel Vladusic; João Pita Costa (MDM, 2020)

Automated System for Ship Detection from Medium Resolution Satellite Optical Imagery. - Dejan Stepec; Tomaz Martincic; Danijel Skocaj (CoRR, 2021)

Vessel and Port Efficiency Metrics through Validated AIS data. - Tomaz Martincic; Dejan Stepec; João Pita Costa; Kristijan Cagran; Athanasios Chaldeakis (CoRR, 2021)

Segmentation of multiple myeloma plasma cells in microscopy images with noisy labels. - Álvaro García-Faura; Dejan Stepec; Tomaz Martincic; Danijel Skocaj (Computer-Aided Diagnosis, 2022)

Why is the Winner the Best? - Matthias Eisenmann; Annika Reinke; Vivienn Weru; Minu Dietlinde Tizabi; Fabian Isensee; Tim J. Adler; Sharib Ali; Vincent Andrearczyk; Marc Aubreville; Ujjwal Baid; Spyridon Bakas; Niranjan Balu; et al. (CVPR, 2023)

Runtime security monitoring by an interplay between rule matching and deep learning-based anomaly detection on logs. - Jan Antic; João Pita Costa; Ales Cernivec; Matija Cankar; Tomaz Martincic; Aljaz Potocnik; Gorka Benguria Elguezabal; Nelly Leligou; Ismael Torres Boigues (DRCN, 2023)

Security in DevSecOps: Applying Tools and Machine Learning to Verification and Monitoring Steps. - Matija Cankar; Nenad Petrovic 001; João Pita Costa; Ales Cernivec; Jan Antic; Tomaz Martincic; Dejan Stepec (ICPE (Companion), 2023)

SegPC-2021: A challenge & dataset on segmentation of Multiple Myeloma plasma cells from microscopic images. - Anubha Gupta; Shiv Gehlot; Shubham Goswami; Sachin Motwani; Ritu Gupta; Álvaro García-Faura; Dejan Stepec; Tomaz Martincic; Reza Azad; Dorit Merhof; Afshin Bozorgpour; Babak Azad; et al. (Medical Image Anal., 2023)

LOMOS: An AI-Based Runtime Security Monitoring System Fit for the Cloud Continuum. - Joao Pita Costa; Hrvoje Ratkajec; Daniel Vladusic; Tomaz Martincic; Ales Cernivec; Justin Cinkelj; Rosalia Davi; Simone Favrin; Lorenzo Gorza; Gilda di Marco (Euro-Par Workshops (2), 2024)

Generative Model for Less-Resourced Language with 1 billion parameters. - Domen Vres; Martin Bozic; Aljaz Potocnik; Tomaz Martincic; Marko Robnik-Sikonja (CoRR, 2024)