Možina, Martin

5 publications

ECML-PKDD 2025 Better Capturing Interactions Between Products in Retail: Revisited Negative Sampling for Basket Choice Modeling Antoine Désir, Vincent Auriau, Martin Mozina, Emmanuel Malherbe

MLJ 2019 Extreme Value Correction: A Method for Correcting Optimistic Estimations in Rule Learning Martin Mozina, Janez Demsar, Ivan Bratko, Jure Zabkar

IJCAI 2013 Learning Qualitative Models from Numerical Data: Extended Abstract Jure Zabkar, Martin Mozina, Ivan Bratko, Janez Demsar

MLOSS 2013 Orange: Data Mining Toolbox in Python Janez Demšar, Tomaž Curk, Aleš Erjavec, Črt Gorup, Tomaž Hočevar, Mitar Milutinovič, Martin Možina, Matija Polajnar, Marko Toplak, Anže Starič, Miha Štajdohar, Lan Umek, Lan Žagar, Jure Žbontar, Marinka Žitnik, Blaž Zupan

ECML-PKDD 2006 Why Is Rule Learning Optimistic and How to Correct It Martin Mozina, Janez Demsar, Jure Zabkar, Ivan Bratko