Alfredo Cuesta-Infante

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 38

Top Topics

Imitation Learning

Pedestrian Tracking

Text Classifiers

Top Venues

Neural Comput. Appl.

Publications

Lei Xu, Sarah Alnegheimish, Laure Berti-Équille, Alfredo Cuesta-Infante, Kalyan Veeramachaneni
Single Word Change is All You Need: Designing Attacks and Defenses for Text Classifiers. CoRR (2024)
Juan Lanchares, Oscar Garnica, José L. Risco-Martín, José Ignacio Hidalgo, J. Manuel Colmenar, Alfredo Cuesta-Infante
Real Time Evolvable Hardware for Optimal Reconfiguration of Cusp-Like Pulse Shapers. CoRR (2024)
José Ignacio Hidalgo, J. Manuel Colmenar, José L. Risco-Martín, Alfredo Cuesta-Infante, Esther Maqueda, Marta Botella, José Antonio Rubio
Modeling glycemia in humans by means of Grammatical Evolution. CoRR (2023)
Sergio Hernández-García, Alfredo Cuesta-Infante, Antonio S. Montemayor
Synthetic Spermatozoa Video Sequences Generation Using Adversarial Imitation Learning. IbPRIA (2023)
Ignacio Arnaldo, Alfredo Cuesta-Infante, J. Manuel Colmenar, José L. Risco-Martín, José L. Ayala
Boosting the 3D thermal-aware floorplanning problem through a master-worker parallel MOEA. CoRR (2023)
Sergio Hernández-García, Alfredo Cuesta-Infante, José Ángel Moreno-SanSegundo, Antonio S. Montemayor
Deep reinforcement learning for automated search of model parameters: photo-fenton wastewater disinfection case study. Neural Comput. Appl. 35 (2) (2023)
David María-Arribas, Alfredo Cuesta-Infante, Juan José Pantrigo
The ETS2 Dataset, Synthetic Data from Video Games for Monocular Depth Estimation. IbPRIA (2023)
Laura Llopis-Ibor, Cesar Beltran-Royo, Alfredo Cuesta-Infante, Juan José Pantrigo
Fast incremental learning by transfer learning and hierarchical sequencing. Expert Syst. Appl. 212 (2023)
Carlos Gutiérrez-Álvarez, Sergio Hernández-García, Nadia Nasri, Alfredo Cuesta-Infante, Roberto Javier López-Sastre
Towards Clear Evaluation of Robotic Visual Semantic Navigation. ICARA (2023)
Francisco J. Garcia-Espinosa, Antonio S. Montemayor, Alfredo Cuesta-Infante
Automatic Annotation for Weakly Supervised Pedestrian Detection. IWINAC (1) (2022)
Ulises Orozco-Rosas, Kenia Picos, Juan José Pantrigo, Antonio S. Montemayor, Alfredo Cuesta-Infante
Mobile Robot Path Planning Using a QAPF Learning Algorithm for Known and Unknown Environments. IEEE Access 10 (2022)
Lei Xu, Laure Berti-Équille, Alfredo Cuesta-Infante, Kalyan Veeramachaneni
In Situ Augmentation for Defending Against Adversarial Attacks on Text Classifiers. ICONIP (3) (2022)
Lei Xu, Alfredo Cuesta-Infante, Laure Berti-Équille, Kalyan Veeramachaneni
R&R: Metric-guided Adversarial Sentence Generation. AACL/IJCNLP (Findings) (2022)
Francisco J. Garcia-Espinosa, David Concha, Juan José Pantrigo, Alfredo Cuesta-Infante
Visual classification of dumpsters with capsule networks. Multim. Tools Appl. 81 (21) (2022)
Sergio Hernández-García, Alfredo Cuesta-Infante
Deep Reinforcement and Imitation Learning for Self-driving Tasks. CAEPIA (2021)
Yi Sun, Iván Ramírez Díaz, Alfredo Cuesta-Infante, Kalyan Veeramachaneni
Towards Reducing Biases in Combining Multiple Experts Online. IJCAI (2021)
Laura Llopis-Ibor, Alfredo Cuesta-Infante, Cesar Beltran-Royo, Juan José Pantrigo
Human Activity Recognition with Capsule Networks. CAEPIA (2021)
Alfredo Cuesta-Infante, Francisco J. García, Juan José Pantrigo, Antonio S. Montemayor
Pedestrian detection with LeNet-like convolutional networks. Neural Comput. Appl. 32 (17) (2020)
Alexander Geiger, Dongyu Liu, Sarah Alnegheimish, Alfredo Cuesta-Infante, Kalyan Veeramachaneni
TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks. CoRR (2020)
Iván Ramírez, Alfredo Cuesta-Infante, Emanuele Schiavi, Juan José Pantrigo
Bayesian capsule networks for 3D human pose estimation from single 2D images. Neurocomputing 379 (2020)
Alexander Geiger, Dongyu Liu, Sarah Alnegheimish, Alfredo Cuesta-Infante, Kalyan Veeramachaneni
TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks. IEEE BigData (2020)
Juan Manuel Górriz, Javier Ramírez, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Fermín Segovia, John Suckling, Matthew Leming, Yu-Dong Zhang, José Ramón Álvarez Sánchez, Guido Bologna, María Paula Bonomini, Fernando E. Casado, David Charte, Francisco Charte, Ricardo Contreras, Alfredo Cuesta-Infante, Richard J. Duro, Antonio Fernández-Caballero, José Manuel Ferrández
Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications. Neurocomputing 410 (2020)
Iván Ramírez, Alfredo Cuesta-Infante, Juan José Pantrigo, Antonio S. Montemayor, Jose Luis Moreno, Valvanera Alonso, Gema Anguita, Luciano Palombarani
Convolutional neural networks for computer vision-based detection and recognition of dumpsters. Neural Comput. Appl. 32 (17) (2020)
Lei Xu, Maria Skoularidou, Alfredo Cuesta-Infante, Kalyan Veeramachaneni
Modeling Tabular data using Conditional GAN. CoRR (2019)
Kevin Alex Zhang, Alfredo Cuesta-Infante, Lei Xu, Kalyan Veeramachaneni
SteganoGAN: High Capacity Image Steganography with GANs. CoRR (2019)
Yi Sun, Alfredo Cuesta-Infante, Kalyan Veeramachaneni
Learning Vine Copula Models for Synthetic Data Generation. AAAI (2019)
Lei Xu, Maria Skoularidou, Alfredo Cuesta-Infante, Kalyan Veeramachaneni
Modeling Tabular data using Conditional GAN. NeurIPS (2019)
Kevin Alex Zhang, Lei Xu, Alfredo Cuesta-Infante, Kalyan Veeramachaneni
Robust Invisible Video Watermarking with Attention. CoRR (2019)
Yi Sun, Iván Ramírez, Alfredo Cuesta-Infante, Kalyan Veeramachaneni
Learning Fair Classifiers in Online Stochastic Settings. CoRR (2019)
Yi Sun, Alfredo Cuesta-Infante, Kalyan Veeramachaneni
Learning Vine Copula Models For Synthetic Data Generation. CoRR (2018)
Alec Anderson, Sébastien Dubois, Alfredo Cuesta-Infante, Kalyan Veeramachaneni
Sample, Estimate, Tune: Scaling Bayesian Auto-Tuning of Data Science Pipelines. DSAA (2017)
Ignacio Arnaldo, Alfredo Cuesta-Infante, Ankit Arun, Mei Lam, Costas Bassias, Kalyan Veeramachaneni
Learning Representations for Log Data in Cybersecurity. CSCML (2017)
Thomas Swearingen, Will Drevo, Bennett Cyphers, Alfredo Cuesta-Infante, Arun Ross, Kalyan Veeramachaneni
ATM: A distributed, collaborative, scalable system for automated machine learning. IEEE BigData (2017)
Borja Lacabex, Alfredo Cuesta-Infante, Antonio S. Montemayor, Juan José Pantrigo
Lightweight tracking-by-detection system for multiple pedestrian targets. Integr. Comput. Aided Eng. 23 (3) (2016)
Alfredo Cuesta-Infante, Kalyan Veeramachaneni
Markov Switching Copula Models for Longitudinal Data. ICDM Workshops (2016)
Borja Lacabex, Alfredo Cuesta-Infante, Antonio S. Montemayor, Juan José Pantrigo
Pedestrian Tracking-by-Detection Using Image Density Projections and Particle Filters. IWINAC (2) (2015)
Alfredo Cuesta-Infante, J. Manuel Colmenar, Zorana Bankovic, José L. Risco-Martín, Marina Zapater, José Ignacio Hidalgo, José Luis Ayala, José Manuel Moya
Comparative study of meta-heuristic 3D floorplanning algorithms. Neurocomputing 150 (2015)
Kalyan Veeramachaneni, Alfredo Cuesta-Infante, Una-May O'Reilly
Copula Graphical Models for Wind Resource Estimation. IJCAI (2015)
José Ignacio Hidalgo, J. Manuel Colmenar, José Luis Risco-Martín, Alfredo Cuesta-Infante, Esther Maqueda, Marta Botella, José Antonio Rubio
Modeling glycemia in humans by means of Grammatical Evolution. Appl. Soft Comput. 20 (2014)
José Ignacio Hidalgo, J. Manuel Colmenar, José Luis Risco-Martín, Esther Maqueda, Marta Botella, José Antonio Rubio, Alfredo Cuesta-Infante, Oscar Garnica, Juan Lanchares
Clarke and parkes error grid analysis of diabetic glucose models obtained with evolutionary computation. GECCO (Companion) (2014)
José Ignacio Hidalgo, Esther Maqueda, José L. Risco-Martín, Alfredo Cuesta-Infante, J. Manuel Colmenar, Javier Nobel
glUCModel: A monitoring and modeling system for chronic diseases applied to diabetes. J. Biomed. Informatics 48 (2014)
J. Manuel Colmenar, Alfredo Cuesta-Infante, José L. Risco-Martín, José Ignacio Hidalgo
An evolutionary methodology for automatic design of finite state machines. GECCO (Companion) (2013)
Ignacio Arnaldo, Alfredo Cuesta-Infante, J. Manuel Colmenar, José L. Risco-Martín, José L. Ayala
Boosting the 3D thermal-aware floorplanning problem through a master-worker parallel MOEA. Concurr. Comput. Pract. Exp. 25 (8) (2013)
Alfredo Cuesta-Infante, José Ignacio Hidalgo, María Victoria Rivas
(1+2)-evolution strategy for fitting a straight shuffle of min to a dataset. GECCO (Companion) (2011)
J. Manuel Colmenar, Miguel A. Abánades, Fernando Poza, Diego Martín, Alfredo Cuesta-Infante, Alberto Herran, José Ignacio Hidalgo
On a generalized name entity recognizer based on Hidden Markov Models. ISDA (2011)
Alfredo Cuesta-Infante, Roberto Santana, José Ignacio Hidalgo, Concha Bielza, Pedro Larrañaga
Bivariate empirical and n-variate Archimedean copulas in estimation of distribution algorithms. IEEE Congress on Evolutionary Computation (2010)