Dr.-Ing. Tomás Arias Vergara

Picture of Tomás Arias Vergara


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Types of publications

Journal article
Book chapter / Article in edited volumes
Authored book
Translation
Thesis
Edited Volume
Conference contribution
Other publication type
Unpublished / Preprint

Publication year

From
To

Abstract

Journal

Water Demand Forecasting of District Metered Areas through Learned Consumer Representations (2025) Ramachandran A, Arias Vergara T, Maier A, Bayer S Conference contribution, Conference Contribution A Systematic Evaluation of Machine Learning Methods for Fault Detection and Line Identification in Electrical Power Grids (2025) Oelhaf J, Kordowich G, Perez Toro PA, Arias Vergara T, Maier A, Jäger J, Bayer S Conference contribution SNOBERT: A Benchmark for clinical notes entity linking in the SNOMED CT clinical terminology (2024) Kulyabin M, Sokolov G, Galaida A, Maier A, Arias Vergara T Conference contribution, Original article Effects of Instructed Laryngeal Manipulation on Vocal Rise Time (2024) Bi M, Nguyen DD, Arias Vergara T, Döllinger M, Holik J, Madill C Journal article VOAT: Voice Onset Analysis Tool (2024) Arias Vergara T, Madill C, Nguyen D, Holik J, Döllinger M Journal article Transforming Cardiovascular Health: a Transformer-Based Approach to Continuous, Non-Invasive Blood Pressure Estimation via Radar Sensing (2024) Vysotskaya N, Maul N, Fusco A, Hazra S, Harnisch J, Arias Vergara T, Maier A Conference contribution Machine learning based estimation of hoarseness severity using sustained vowelsa) (2024) Schraut T, Schützenberger A, Arias Vergara T, Kunduk M, Echternach M, Döllinger M Journal article Vowel onset measures and their reliability, sensitivity and specificity: A systematic literature review (2024) Chacon AM, Nguyen DD, Holik J, Döllinger M, Arias Vergara T, Arias-Vergara T, Madill CJ Journal article Tagged-to-Cine MRI Sequence Synthesis via Light Spatial-Temporal Transformer (2024) Liu X, Xing F, Bian Z, Arias Vergara T, Perez Toro PA, Maier A, Stone M, et al. Conference contribution Contrastive Learning Approach for Assessment of Phonological Precision in Patients with Tongue Cancer Using MRI Data (2024) Arias Vergara T, Perez Toro PA, Liu X, Xing F, Stone M, Zhuo J, Prince JL, et al. Conference contribution