Miguel Rios

University of Vienna — Austria

Computer Science · Physical Sciences

10h-index350citations34works0.42yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Topic Modeling(19), Natural Language Processing Techniques(17), Text Readability and Simplification(6), Machine Learning in Healthcare(6), Algebraic structures and combinatorial models(5)

Publications34 total

An Order-Sensitive Hierarchical Neural Model for Early Lung Cancer Detection Using Dutch Primary Care Notes and Structured Data
Cancers·2025Open Access
Knowing our choices: unveiling true voting patterns through machine learning (ML) and natural language processing (NLP) in European Parliament
Social Network Analysis and Mining·2025· 1 citedOpen Access
Las subcuencas del lago Xico y los ríos Amecameca y La Compañía: apropiación del agua, visión y acciones sobre el territorio para su uso, aprovechamiento y control
2025Open Access
The impact of using text-to-speech (TTS) in post-editing machine translation (PEMT) workflows on translators’ cognitive effort, productivity, quality, and perceptions
Tradumàtica tecnologies de la traducció·2024Open Access
Instruction-tuned Large Language Models for Machine Translation in the Medical Domain
arXiv (Cornell University)·2024· 1 citedOpen Access
Prognostic models of in-hospital mortality of intensive care patients using neural representation of unstructured text: A systematic review and critical appraisal
Journal of Biomedical Informatics·2023· 13 citedOpen Access
Mortality Prediction Models with Clinical Notes Using Sparse Attention at the Word and Sentence Levels
arXiv (Cornell University)·2022Open Access
Impact of Domain-Adapted Multilingual Neural Machine Translation in the Medical Domain
arXiv (Cornell University)·2022· 1 citedOpen Access
Potential Impacts of Demand-side Battery Storage on Distribution Networks with PV Penetration
2022
Hierarchical Forecasting of Load Demand With Smart Meter Data for Distribution Networks
2022· 3 cited
Evaluating pointwise reliability of machine learning prediction
Journal of Biomedical Informatics·2022· 84 citedOpen Access
Deep Kernel Learning for Mortality Prediction in the Face of Temporal Shift
Lecture notes in computer science·2021· 1 citedOpen Access
The Effectiveness of Phrase Skip-Gram in Primary Care NLP for the Prediction of Lung Cancer
Lecture notes in computer science·2021· 4 citedOpen Access
Community engagement in public health emergency preparedness
European Journal of Public Health·2019· 1 cited
Latent Variable Model for Multi-modal Translation
2019· 2 citedOpen Access
Latent Visual Cues for Neural Machine Translation.
arXiv (Cornell University)·2018· 2 citedOpen Access
Deep Generative Model for Joint Alignment and Word Representation
2018Open Access
The QT21 Combined Machine Translation System for English to Latvian
2017· 2 citedOpen Access
Language Adaptation for Extending Post-Editing Estimates for Closely Related Languages
˜The œPrague Bulletin of Mathematical Linguistics·2016· 4 citedOpen Access
Obtaining SMT dictionaries for related languages
2015· 1 citedOpen Access
page 1 of 2Next →

Frequent Co-authors

Wilker Aziz(9), Lucia Specia(6), Ameen Abu‐Hanna(5), J. Abad(5), Iacer Calixto(3), Torec T. Luik(3), Ruslan Mitkov(2), Iacopo Vagliano(2), Martijn C. Schut(2), Alexander Gelbukh(2), Serge Sharoff(2), Henk van Weert(2), Omar Rivera‐Caballero(2), Alberto Cogley(2), Jenifer Gonzalez(2), Carlos Boya‐Lara(2), Raluca-Maria Chereji(2), Alina Secară(2), Dragoș Ciobanu(2), Giovanna Nicora(1)