Bivariate empirical and n-variate Archimedean copulas in estimation of distribution algorithms. - Alfredo Cuesta-Infante; Roberto Santana 001; José Ignacio Hidalgo; Concha Bielza; Pedro Larrañaga (IEEE Congress on Evolutionary Computation, 2010)

(1+2)-evolution strategy for fitting a straight shuffle of min to a dataset. - Alfredo Cuesta-Infante; José Ignacio Hidalgo; María Victoria Rivas (GECCO (Companion), 2011)

On a generalized name entity recognizer based on Hidden Markov Models. - J. Manuel Colmenar; Miguel A. Abánades; Fernando Poza; Diego Martín 002; Alfredo Cuesta-Infante; Alberto Herran; José Ignacio Hidalgo (ISDA, 2011)

An evolutionary methodology for automatic design of finite state machines. - J. Manuel Colmenar; Alfredo Cuesta-Infante; José L. Risco-Martín; José Ignacio Hidalgo (GECCO (Companion), 2013)

Boosting the 3D thermal-aware floorplanning problem through a master-worker parallel MOEA. - Ignacio Arnaldo; Alfredo Cuesta-Infante; J. Manuel Colmenar; José L. Risco-Martín; José L. Ayala (Concurr. Comput. Pract. Exp., 2013)

Clarke and parkes error grid analysis of diabetic glucose models obtained with evolutionary computation. - José Ignacio Hidalgo; J. Manuel Colmenar; José Luis Risco-Martín; Esther Maqueda; Marta Botella; José Antonio Rubio; Alfredo Cuesta-Infante; Oscar Garnica; Juan Lanchares (GECCO (Companion), 2014)

Modeling glycemia in humans by means of Grammatical Evolution. - José Ignacio Hidalgo; J. Manuel Colmenar; José Luis Risco-Martín; Alfredo Cuesta-Infante; Esther Maqueda; Marta Botella; José Antonio Rubio (Appl. Soft Comput., 2014)

glUCModel: A monitoring and modeling system for chronic diseases applied to diabetes. - José Ignacio Hidalgo; Esther Maqueda; José L. Risco-Martín; Alfredo Cuesta-Infante; J. Manuel Colmenar; Javier Nobel (J. Biomed. Informatics, 2014)

Copula Graphical Models for Wind Resource Estimation. - Kalyan Veeramachaneni; Alfredo Cuesta-Infante; Una-May O'Reilly (IJCAI, 2015)

Pedestrian Tracking-by-Detection Using Image Density Projections and Particle Filters. - Borja Lacabex; Alfredo Cuesta-Infante; Antonio S. Montemayor; Juan José Pantrigo (IWINAC (2), 2015)

Comparative study of meta-heuristic 3D floorplanning algorithms. - Alfredo Cuesta-Infante; J. Manuel Colmenar; Zorana Bankovic; José L. Risco-Martín; Marina Zapater; José Ignacio Hidalgo; José Luis Ayala; José Manuel Moya (Neurocomputing, 2015)

Markov Switching Copula Models for Longitudinal Data. - Alfredo Cuesta-Infante; Kalyan Veeramachaneni (ICDM Workshops, 2016)

Lightweight tracking-by-detection system for multiple pedestrian targets. - Borja Lacabex; Alfredo Cuesta-Infante; Antonio S. Montemayor; Juan José Pantrigo (Integr. Comput. Aided Eng., 2016)

ATM: A distributed, collaborative, scalable system for automated machine learning. - Thomas Swearingen; Will Drevo; Bennett Cyphers; Alfredo Cuesta-Infante; Arun Ross; Kalyan Veeramachaneni (IEEE BigData, 2017)

Learning Representations for Log Data in Cybersecurity. - Ignacio Arnaldo; Alfredo Cuesta-Infante; Ankit Arun; Mei Lam; Costas Bassias; Kalyan Veeramachaneni (CSCML, 2017)

Sample, Estimate, Tune: Scaling Bayesian Auto-Tuning of Data Science Pipelines. - Alec Anderson; Sébastien Dubois; Alfredo Cuesta-Infante; Kalyan Veeramachaneni (DSAA, 2017)

Learning Vine Copula Models for Synthetic Data Generation. - Yi Sun; Alfredo Cuesta-Infante; Kalyan Veeramachaneni (AAAI, 2019)

Modeling Tabular data using Conditional GAN. - Lei Xu 040; Maria Skoularidou; Alfredo Cuesta-Infante; Kalyan Veeramachaneni (NeurIPS, 2019)

SteganoGAN: High Capacity Image Steganography with GANs. - Kevin Alex Zhang; Alfredo Cuesta-Infante; Lei Xu 040; Kalyan Veeramachaneni (CoRR, 2019)

Learning Fair Classifiers in Online Stochastic Settings. - Yi Sun; Iván Ramírez; Alfredo Cuesta-Infante; Kalyan Veeramachaneni (CoRR, 2019)

Robust Invisible Video Watermarking with Attention. - Kevin Alex Zhang; Lei Xu 040; Alfredo Cuesta-Infante; Kalyan Veeramachaneni (CoRR, 2019)

TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks. - Alexander Geiger; Dongyu Liu; Sarah Alnegheimish; Alfredo Cuesta-Infante; Kalyan Veeramachaneni (IEEE BigData, 2020)

Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications. - Juan Manuel Górriz; Javier Ramírez 001; Andrés Ortiz 001; Francisco Jesús Martínez-Murcia; Fermín Segovia; John Suckling; Matthew Leming; Yu-Dong Zhang 001; José Ramón Álvarez Sánchez; Guido Bologna; María Paula Bonomini; Fernando E. Casado; et al. (Neurocomputing, 2020)

Bayesian capsule networks for 3D human pose estimation from single 2D images. - Iván Ramírez; Alfredo Cuesta-Infante; Emanuele Schiavi; Juan José Pantrigo (Neurocomputing, 2020)

Pedestrian detection with LeNet-like convolutional networks. - Alfredo Cuesta-Infante; Francisco José García-Espinosa; Juan José Pantrigo; Antonio S. Montemayor (Neural Comput. Appl., 2020)

Convolutional neural networks for computer vision-based detection and recognition of dumpsters. - Iván Ramírez; Alfredo Cuesta-Infante; Juan José Pantrigo; Antonio S. Montemayor; Jose Luis Moreno; Valvanera Alonso; Gema Anguita; Luciano Palombarani (Neural Comput. Appl., 2020)

Deep Reinforcement and Imitation Learning for Self-driving Tasks. - Sergio Hernández-García; Alfredo Cuesta-Infante (CAEPIA, 2021)

Human Activity Recognition with Capsule Networks. - Laura Llopis-Ibor; Alfredo Cuesta-Infante; Cesar Beltran-Royo; Juan José Pantrigo (CAEPIA, 2021)

Towards Reducing Biases in Combining Multiple Experts Online. - Yi Sun; Iván Ramírez Díaz; Alfredo Cuesta-Infante; Kalyan Veeramachaneni (IJCAI, 2021)

In Situ Augmentation for Defending Against Adversarial Attacks on Text Classifiers. - Lei Xu 040; Laure Berti-Équille; Alfredo Cuesta-Infante; Kalyan Veeramachaneni (ICONIP (3), 2022)

R&R: Metric-guided Adversarial Sentence Generation. - Lei Xu 040; Alfredo Cuesta-Infante; Laure Berti-Équille; Kalyan Veeramachaneni (AACL/IJCNLP (Findings), 2022)

Automatic Annotation for Weakly Supervised Pedestrian Detection. - Francisco José García-Espinosa; Antonio S. Montemayor; Alfredo Cuesta-Infante (IWINAC (1), 2022)

Mobile Robot Path Planning Using a QAPF Learning Algorithm for Known and Unknown Environments. - Ulises Orozco-Rosas; Kenia Picos; Juan José Pantrigo; Antonio S. Montemayor; Alfredo Cuesta-Infante (IEEE Access, 2022)

Visual classification of dumpsters with capsule networks. - Francisco José García-Espinosa; David Concha; Juan José Pantrigo; Alfredo Cuesta-Infante (Multim. Tools Appl., 2022)

Synthetic Spermatozoa Video Sequences Generation Using Adversarial Imitation Learning. - Sergio Hernández-García; Alfredo Cuesta-Infante; Antonio S. Montemayor (IbPRIA, 2023)

The ETS2 Dataset, Synthetic Data from Video Games for Monocular Depth Estimation. - David María-Arribas; Alfredo Cuesta-Infante; Juan José Pantrigo (IbPRIA, 2023)

Towards Clear Evaluation of Robotic Visual Semantic Navigation. - Carlos Gutiérrez-Álvarez; Sergio Hernández-García; Nadia Nasri; Alfredo Cuesta-Infante; Roberto Javier López-Sastre (ICARA, 2023)

Fast incremental learning by transfer learning and hierarchical sequencing. - Laura Llopis-Ibor; Cesar Beltran-Royo; Alfredo Cuesta-Infante; Juan José Pantrigo (Expert Syst. Appl., 2023)

Deep reinforcement learning for automated search of model parameters: photo-fenton wastewater disinfection case study. - Sergio Hernández-García; Alfredo Cuesta-Infante; José Ángel Moreno-SanSegundo; Antonio S. Montemayor (Neural Comput. Appl., 2023)

Single Word Change is All You Need: Designing Attacks and Defenses for Text Classifiers. - Lei Xu 040; Sarah Alnegheimish; Laure Berti-Équille; Alfredo Cuesta-Infante; Kalyan Veeramachaneni (CoRR, 2024)

Real Time Evolvable Hardware for Optimal Reconfiguration of Cusp-Like Pulse Shapers. - Juan Lanchares; Oscar Garnica; José L. Risco-Martín; José Ignacio Hidalgo; J. Manuel Colmenar; Alfredo Cuesta-Infante (CoRR, 2024)

Single Word Change Is All You Need: Using LLMs to Create Synthetic Training Examples for Text Classifiers. - Lei Xu 040; Sarah Alnegheimish; Laure Berti-Équille; Alfredo Cuesta-Infante; Kalyan Veeramachaneni (Expert Syst. J. Knowl. Eng., 2025)

CENTS: Generating synthetic electricity consumption time series for rare and unseen scenarios. - Michael Fuest; Alfredo Cuesta-Infante; Kalyan Veeramachaneni (CoRR, 2025)

Real-like synthetic sperm video generation from learned behaviors. - Sergio Hernández-García; Alfredo Cuesta-Infante; Dimitrios Makris 001; Antonio S. Montemayor (Appl. Intell., 2025)