A generalization for mixtures of a fast algorithm to calculate some intermolecular orientational averages. - S. Lago; Carlos Vega (Comput. Chem., 1988)

Stationary distribution of some nonlinear AR(1) processes. - Jirí Andel; María Gómez 002; Carlos Vega (Kybernetika, 1989)

A Fast Algorithm to Evaluate the Shortest Distance Between Rods. - Carlos Vega; Santiago Lago (Comput. Chem., 1994)

Jordan Normal Form via Elementary Transformations. - Andrés Bujosa; Regino Criado; Carlos Vega (SIAM Rev., 1998)

Non-Markovian melting: a novel procedure to generate initial liquid like phases for small molecules for use in computer simulation studies. - Carl McBride; Carlos Vega; Eduardo Sanz (Comput. Phys. Commun., 2005)

A generator of pseudo-random numbers sequences with a very long period. - Sergio Sánchez; Regino Criado; Carlos Vega (Math. Comput. Model., 2005)

Implementing an Incremental Project-based Learning Solution for CS1/CS2 Courses. - Carlos Vega; Camilo Jiménez; Jorge Villalobos (CSEDU (2), 2012)

A computer program to evaluate the NVM propagator for rigid asymmetric tops for use in path integral simulations of rigid bodies. - Carl McBride; Eva G. Noya; Carlos Vega (Comput. Phys. Commun., 2013)

A scalable and incremental project-based learning approach for CS1/CS2 courses. - Carlos Vega; Camilo Jiménez; Jorge Villalobos (Educ. Inf. Technol., 2013)

Diluting the Scalability Boundaries: Exploring the Use of Disaggregated Architectures for High-Level Network Data Analysis. - Carlos Vega; Jose Fernando Zazo; Hugo Meyer; Ferad Zyulkyarov; Sergio López-Buedo; Javier Aracil 001 (HPCC/SmartCity/DSS, 2017)

Multi-Gbps HTTP traffic analysis in commodity hardware based on local knowledge of TCP streams. - Carlos Vega; Paula Roquero; Javier Aracil 001 (Comput. Networks, 2017)

FlexiTop: a flexible and scalable network monitoring system for Over-The-Top services. - Daniel Perdices; Jorge E. López de Vergara; Paula Roquero; Carlos Vega; Javier Aracil 001 (Netw. Protoc. Algorithms, 2017)

Loginson: a transform and load system for very large-scale log analysis in large IT infrastructures. - Carlos Vega; Paula Roquero; Rafael Leira; Iván González 004; Javier Aracil 001 (J. Supercomput., 2017)

KISS Methodologies for Network Management and Anomaly Detection. - Carlos Vega; Javier Aracil 001; Eduardo Magaña (SoftCOM, 2018)

Evaluation of the performance challenges in automatic traffic report generation with huge data volumes. - Carlos Vega; Eduardo Miravalls-Sierra; Guillermo Julián-Moreno; Jorge E. López de Vergara; Eduardo Magaña; Javier Aracil 001 (CoRR, 2018)

On the design and performance evaluation of automatic traffic report generation systems with huge data volumes. - Carlos Vega; Eduardo Miravalls-Sierra; Guillermo Julián-Moreno; Jorge E. López de Vergara; Eduardo Magaña; Javier Aracil 001 (Int. J. Netw. Manag., 2018)

The Need of Standardised Metadata to Encode Causal Relationships: Towards Safer Data-Driven Machine Learning Biological Solutions. - Beatriz Garcia Santa Cruz; Carlos Vega; Frank Hertel (CIBB, 2021)

From Hume to Wuhan: An Epistemological Journey on the Problem of Induction in COVID-19 Machine Learning Models and its Impact Upon Medical Research. - Carlos Vega (IEEE Access, 2021)

Development of a Hyperspectral Colposcope for Early Detection and Assessment of Cervical Dysplasia. - Carlos Vega; Raquel León; Norberto Medina; Himar Fabelo; Samuel Ortega; Fran Balea; Aday García; Margarita Medina; Silvia De León; Alicia Martín; Gustavo M. Callicó (DSD, 2022)

Translational Challenges of Biomedical Machine Learning Solutions in Clinical and Laboratory Settings. - Carlos Vega; Miroslav Kratochvíl; Venkata P. Satagopam; Reinhard Schneider 002 (IWBBIO (2), 2022)

A formalization of one of the main claims of "Mutations in STX1B, encoding a presynaptic protein, cause fever-associated epilepsy syndromes" by Schubert et al. 20141. - Valentin Grouès; Carlos Vega; Venkata P. Satagopam (Data Sci., 2022)

YOLOX-based framework for nuclei detection on whole-slide histopathological RGB and hyperspectral images. - Carlos Vega; Laura Quintana; Samuel Ortega; Himar Fabelo; Esther Sauras; Noèlia Gallardo; Daniel Mata Cano; Marylène Lejeune; Carlos López 002; Gustavo M. Callicó (Digital and Computational Pathology, 2023)

Analysis: Flawed Datasets of Monkeypox Skin Images. - Carlos Vega; Reinhard Schneider 002; Venkata P. Satagopam (J. Medical Syst., 2023)

Inter-Band Movement Compensation Method for Hyperspectral Images Based on Spectral Scanning Technology. - Nerea Marquez-Suarez; Carlos Vega; Raquel León; Gustavo M. Callicó (DSD, 2024)

Assessing Processing Strategies on Data from Medical Hyperspectral Acquisition Systems. - Laura Quintana; Carlos Vega; Raquel León; Guillermo V. Socorro-Marrero; Samuel Ortega; Gustavo M. Callicó (DSD, 2024)

Integrating digital gait data with metabolomics and clinical data to predict outcomes in Parkinson's disease. - Cyril Brzenczek; Quentin Klopfenstein; Tom Hähnel; Holger Fröhlich; Enrico Glaab; Geeta Acharya; Gloria Aguayo; Myriam Alexandre; Muhammad Ali; Wim Ammerlann; Giuseppe Arena; Michele Bassis; et al. (npj Digit. Medicine, 2024)

BioKC: a collaborative platform for curation and annotation of molecular interactions. - Carlos Vega; Marek Ostaszewski; Valentin Grouès; Reinhard Schneider 002; Venkata P. Satagopam (Database J. Biol. Databases Curation, 2024)

Mold: a LAMMPS package to compute interfacial free energies and nucleation rates. - Andres R. Tejedor; Ignacio Sanchez-Burgos; Eduardo Sanz; Carlos Vega; Felipe J. Blas; Ruslan L. Davidchack; Nicodemo Di Pasquale; Jorge Ramirez; Jorge R. Espinosa (J. Open Source Softw., 2024)

Multi-cohort machine learning identifies predictors of cognitive impairment in Parkinson's disease. - Rebecca Ting Jiin Loo; Lukas Pavelka; Graziella Mangone; Fouad Khoury; Marie Vidailhet; Jean-Christophe Corvol; Enrico Glaab; Geeta Acharya; Gloria Aguayo; Myriam Alexandre; Muhammad Ali; Wim Ammerlann; et al. (npj Digit. Medicine, 2025)