Oliver Tomic

According to our database, Oliver Tomic authored at least 11 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

Novel ensemble feature selection techniques applied to high-grade gastroenteropancreatic neuroendocrine neoplasms for the prediction of survival.

Anna Jenul, Henning Langen Stokmo, Stefan Schrunner, Geir Olav Hjortland, Mona-Elisabeth Revheim, Oliver Tomic

Comput. Methods Programs Biomed., 2024

2023

Towards Understanding the Survival of Patients with High-Grade Gastroenteropancreatic Neuroendocrine Neoplasms: An Investigation of Ensemble Feature Selection in the Prediction of Overall Survival.

Anna Jenul, Henning Langen Stokmo, Stefan Schrunner, Mona-Elisabeth Revheim, Geir Olav Hjortland, Oliver Tomic

CoRR, 2023

2022

A user-guided Bayesian framework for ensemble feature selection in life science applications (UBayFS).

Anna Jenul, Stefan Schrunner, Jürgen Pilz, Oliver Tomic

Mach. Learn., 2022

ConsumerCheck: A Software for Analysis of Sensory and Consumer Data.

Oliver Tomic, Alexandra Kuznetsova, Per Bruun Brockhoff, Thomas Graff, Tormod Næs

CoRR, 2022

Ranking Feature-Block Importance in Artificial Multiblock Neural Networks.

Anna Jenul, Stefan Schrunner, Bao-Ngoc Huynh, Runar Helin, Cecilia Marie Futsaether, Kristian Hovde Liland, Oliver Tomic

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

2021

RENT: A Python Package for Repeated Elastic Net Feature Selection.

Anna Jenul, Stefan Schrunner, Bao Huynh, Oliver Tomic

J. Open Source Softw., 2021

Multiblock-Networks: A Neural Network Analog to Component Based Methods for Multi-Source Data.

Anna Jenul, Stefan Schrunner, Runar Helin, Kristian Hovde Liland, Cecilia Marie Futsaether, Oliver Tomic

CoRR, 2021

RENT - Repeated Elastic Net Technique for Feature Selection.

Anna Jenul, Stefan Schrunner, Kristian Hovde Liland, Ulf Geir Indahl, Cecilia Marie Futsaether, Oliver Tomic

IEEE Access, 2021

PET Normalizations to Improve Deep Learning Auto-Segmentation of Head and Neck Tumors in 3D PET/CT.

Jintao Ren, Bao-Ngoc Huynh, Aurora Rosvoll Groendahl, Oliver Tomic, Cecilia Marie Futsaether, Stine Sofia Korreman

Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2021

Comparing Deep Learning and Conventional Machine Learning for Outcome Prediction of Head and Neck Cancer in PET/CT.

Bao-Ngoc Huynh, Jintao Ren, Aurora Rosvoll Groendahl, Oliver Tomic, Stine Sofia Korreman, Cecilia Marie Futsaether

Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2021

2019

hoggorm: a python library for explorative multivariate statistics.

Oliver Tomic, Thomas Graff, Kristian Hovde Liland, Tormod Næs

J. Open Source Softw., 2019