Oliver Tomic - RankMe

15 papers Journal 12Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Assessing airborne laser scanning and aerial photogrammetry for deep learning-based stand delineation. CoRR Håkon Næss Sandum, Hans Ole Ørka, Oliver Tomic, Terje Gobakken
2025	J	`jnl`	Semantic segmentation of forest stands using deep learning. CoRR Håkon Næss Sandum, Hans Ole Ørka, Oliver Tomic, Erik Næsset, Terje Gobakken
2024	J	`jnl`	Novel ensemble feature selection techniques applied to high-grade gastroenteropancreatic neuroendocrine neoplasms for the prediction of survival. Comput. Methods Programs Biomed. Anna Jenul, Henning Langen Stokmo, Stefan Schrunner, Geir Olav Hjortland, Mona-Elisabeth Revheim, Oliver Tomic
2023	J	`jnl`	Towards Understanding the Survival of Patients with High-Grade Gastroenteropancreatic Neuroendocrine Neoplasms: An Investigation of Ensemble Feature Selection in the Prediction of Overall Survival. CoRR Anna Jenul, Henning Langen Stokmo, Stefan Schrunner, Mona-Elisabeth Revheim, Geir Olav Hjortland, Oliver Tomic
2022	J	`jnl`	A user-guided Bayesian framework for ensemble feature selection in life science applications (UBayFS). Mach. Learn. Anna Jenul, Stefan Schrunner, Jürgen Pilz, Oliver Tomic
2022	J	`jnl`	ConsumerCheck: A Software for Analysis of Sensory and Consumer Data. CoRR Oliver Tomic, Alexandra Kuznetsova, Per Bruun Brockhoff, Thomas Graff, Tormod Næs
2022	—	`conf`	Ranking Feature-Block Importance in Artificial Multiblock Neural Networks. ICANN (4) Anna Jenul, Stefan Schrunner, Bao-Ngoc Huynh, Runar Helin, Cecilia Marie Futsaether, Kristian Hovde Liland, Oliver Tomic
2021	J	`jnl`	A User-Guided Bayesian Framework for Ensemble Feature Selection in Life Science Applications (UBayFS). CoRR Anna Jenul, Stefan Schrunner, Jürgen Pilz, Oliver Tomic
2021	—	`conf`	Comparing Deep Learning and Conventional Machine Learning for Outcome Prediction of Head and Neck Cancer in PET/CT. HECKTOR@MICCAI Bao-Ngoc Huynh, Jintao Ren, Aurora Rosvoll Groendahl, Oliver Tomic, Stine Sofia Korreman, Cecilia Marie Futsaether
2021	J	`jnl`	Multiblock-Networks: A Neural Network Analog to Component Based Methods for Multi-Source Data. CoRR Anna Jenul, Stefan Schrunner, Runar Helin, Kristian Hovde Liland, Cecilia Marie Futsaether, Oliver Tomic
2021	—	`conf`	PET Normalizations to Improve Deep Learning Auto-Segmentation of Head and Neck Tumors in 3D PET/CT. HECKTOR@MICCAI Jintao Ren, Bao-Ngoc Huynh, Aurora Rosvoll Groendahl, Oliver Tomic, Cecilia Marie Futsaether, Stine Sofia Korreman
2021	J	`jnl`	RENT - Repeated Elastic Net Technique for Feature Selection. IEEE Access Anna Jenul, Stefan Schrunner, Kristian Hovde Liland, Ulf Geir Indahl, Cecilia Marie Futsaether, Oliver Tomic
2021	J	`jnl`	RENT: A Python Package for Repeated Elastic Net Feature Selection. J. Open Source Softw. Anna Jenul, Stefan Schrunner, Bao Huynh, Oliver Tomic
2020	J	`jnl`	RENT - Repeated Elastic Net Technique for Feature Selection. CoRR Anna Jenul, Stefan Schrunner, Kristian Hovde Liland, Ulf Geir Indahl, Cecilia Marie Futsaether, Oliver Tomic
2019	J	`jnl`	hoggorm: a python library for explorative multivariate statistics. J. Open Source Softw. Oliver Tomic, Thomas Graff, Kristian Hovde Liland, Tormod Næs