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Matej Martinc

Showing results (1-10 of 4) with videos related to

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Machine Learning|November 1, 2021
autoBOT: evolving neuro-symbolic representations for explainable low resource text classificationBlaž Škrlj, Matej Martinc, Nada Lavrač, et al.
Frontiers in Aging Neuroscience|July 1, 2021
Temporal Integration of Text Transcripts and Acoustic Features for Alzheimer's Diagnosis Based on Spontaneous SpeechMatej Martinc, Fasih Haider, Senja Pollak, et al.
Scientific Reports|June 16, 2026
Benchmarking machine learning approaches for polarization mapping in ferroelectrics using 4D-STEMMatej Martinc, Goran Dražić, Anton Kokalj, et al.
Current Research in Food Science|February 25, 2026
Large language models in food and nutrition science: Opportunities, challenges, and the case of FoodyLLMAna Gjorgjevikj, Matej Martinc, Gjorgjina Cenikj, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Machine Learning|November 1, 2021
autoBOT: evolving neuro-symbolic representations for explainable low resource text classificationBlaž Škrlj, Matej Martinc, Nada Lavrač, et al.
Frontiers in Aging Neuroscience|July 1, 2021
Temporal Integration of Text Transcripts and Acoustic Features for Alzheimer's Diagnosis Based on Spontaneous SpeechMatej Martinc, Fasih Haider, Senja Pollak, et al.
Scientific Reports|June 16, 2026
Benchmarking machine learning approaches for polarization mapping in ferroelectrics using 4D-STEMMatej Martinc, Goran Dražić, Anton Kokalj, et al.
Current Research in Food Science|February 25, 2026
Large language models in food and nutrition science: Opportunities, challenges, and the case of FoodyLLMAna Gjorgjevikj, Matej Martinc, Gjorgjina Cenikj, et al.
Pageof 1