ODIN: Pluggable Meta-annotations and Metrics for the Diagnosis of Classification and Localization

Rocio Nahime Torres, Federico Milani, Piero Fraternali. ODIN: Pluggable Meta-annotations and Metrics for the Diagnosis of Classification and Localization. In Giuseppe Nicosia, Varun Ojha 0001, Emanuele La Malfa, Gabriele La Malfa, Giorgio Jansen, Panos M. Pardalos, Giovanni Giuffrida, Renato Umeton, editors, Machine Learning, Optimization, and Data Science - 7th International Conference, LOD 2021, Grasmere, UK, October 4-8, 2021, Revised Selected Papers, Part I. Volume 13163 of Lecture Notes in Computer Science, pages 383-398, Springer, 2021. [doi]

Abstract

Abstract is missing.