Alfredo Cuesta-Infante

49 papers A* 4B 2C 1Misc 2Journal 26Unranked 14

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	CENTS: Generating synthetic electricity consumption time series for rare and unseen scenarios. CoRR Michael Fuest, Alfredo Cuesta-Infante, Kalyan Veeramachaneni
2025	J	`jnl`	Real-like synthetic sperm video generation from learned behaviors. Appl. Intell. Sergio Hernández-García, Alfredo Cuesta-Infante, Dimitrios Makris, Antonio S. Montemayor
2025	J	`jnl`	Single Word Change Is All You Need: Using LLMs to Create Synthetic Training Examples for Text Classifiers. Expert Syst. J. Knowl. Eng. Lei Xu, Sarah Alnegheimish, Laure Berti-Équille, Alfredo Cuesta-Infante, Kalyan Veeramachaneni
2024	J	`jnl`	Real Time Evolvable Hardware for Optimal Reconfiguration of Cusp-Like Pulse Shapers. CoRR Juan Lanchares, Oscar Garnica, José L. Risco-Martín, José Ignacio Hidalgo, J. Manuel Colmenar, Alfredo Cuesta-Infante
2024	J	`jnl`	Single Word Change is All You Need: Designing Attacks and Defenses for Text Classifiers. CoRR Lei Xu, Sarah Alnegheimish, Laure Berti-Équille, Alfredo Cuesta-Infante, Kalyan Veeramachaneni
2023	J	`jnl`	Boosting the 3D thermal-aware floorplanning problem through a master-worker parallel MOEA. CoRR Ignacio Arnaldo, Alfredo Cuesta-Infante, J. Manuel Colmenar, José L. Risco-Martín, José L. Ayala
2023	J	`jnl`	Deep reinforcement learning for automated search of model parameters: photo-fenton wastewater disinfection case study. Neural Comput. Appl. Sergio Hernández-García, Alfredo Cuesta-Infante, José Ángel Moreno-SanSegundo, Antonio S. Montemayor
2023	J	`jnl`	Fast incremental learning by transfer learning and hierarchical sequencing. Expert Syst. Appl. Laura Llopis-Ibor, Cesar Beltran-Royo, Alfredo Cuesta-Infante, Juan José Pantrigo
2023	J	`jnl`	Modeling glycemia in humans by means of Grammatical Evolution. CoRR José Ignacio Hidalgo, J. Manuel Colmenar, José L. Risco-Martín, Alfredo Cuesta-Infante, Esther Maqueda, Marta Botella, José Antonio Rubio
2023	Misc	`conf`	Synthetic Spermatozoa Video Sequences Generation Using Adversarial Imitation Learning. IbPRIA Sergio Hernández-García, Alfredo Cuesta-Infante, Antonio S. Montemayor
2023	Misc	`conf`	The ETS2 Dataset, Synthetic Data from Video Games for Monocular Depth Estimation. IbPRIA David María-Arribas, Alfredo Cuesta-Infante, Juan José Pantrigo
2023	—	`conf`	Towards Clear Evaluation of Robotic Visual Semantic Navigation. ICARA Carlos Gutiérrez-Álvarez, Sergio Hernández-García, Nadia Nasri, Alfredo Cuesta-Infante, Roberto Javier López-Sastre
2022	—	`conf`	Automatic Annotation for Weakly Supervised Pedestrian Detection. IWINAC (1) Francisco José García-Espinosa, Antonio S. Montemayor, Alfredo Cuesta-Infante
2022	—	`conf`	In Situ Augmentation for Defending Against Adversarial Attacks on Text Classifiers. ICONIP (3) Lei Xu, Laure Berti-Équille, Alfredo Cuesta-Infante, Kalyan Veeramachaneni
2022	J	`jnl`	Mobile Robot Path Planning Using a QAPF Learning Algorithm for Known and Unknown Environments. IEEE Access Ulises Orozco-Rosas, Kenia Picos, Juan José Pantrigo, Antonio S. Montemayor, Alfredo Cuesta-Infante
2022	—	`conf`	R&R: Metric-guided Adversarial Sentence Generation. AACL/IJCNLP (Findings) Lei Xu, Alfredo Cuesta-Infante, Laure Berti-Équille, Kalyan Veeramachaneni
2022	J	`jnl`	Visual classification of dumpsters with capsule networks. Multim. Tools Appl. Francisco José García-Espinosa, David Concha, Juan José Pantrigo, Alfredo Cuesta-Infante
2021	—	`conf`	Deep Reinforcement and Imitation Learning for Self-driving Tasks. CAEPIA Sergio Hernández-García, Alfredo Cuesta-Infante
2021	—	`conf`	Human Activity Recognition with Capsule Networks. CAEPIA Laura Llopis-Ibor, Alfredo Cuesta-Infante, Cesar Beltran-Royo, Juan José Pantrigo
2021	A*	`conf`	Towards Reducing Biases in Combining Multiple Experts Online. IJCAI Yi Sun, Iván Ramírez Díaz, Alfredo Cuesta-Infante, Kalyan Veeramachaneni
2020	J	`jnl`	Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications. Neurocomputing 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
2020	J	`jnl`	Bayesian capsule networks for 3D human pose estimation from single 2D images. Neurocomputing Iván Ramírez, Alfredo Cuesta-Infante, Emanuele Schiavi, Juan José Pantrigo
2020	J	`jnl`	Convolutional neural networks for computer vision-based detection and recognition of dumpsters. Neural Comput. Appl. Iván Ramírez, Alfredo Cuesta-Infante, Juan José Pantrigo, Antonio S. Montemayor, Jose Luis Moreno, Valvanera Alonso, Gema Anguita, Luciano Palombarani
2020	J	`jnl`	Pedestrian detection with LeNet-like convolutional networks. Neural Comput. Appl. Alfredo Cuesta-Infante, Francisco José García-Espinosa, Juan José Pantrigo, Antonio S. Montemayor
2020	—	`conf`	TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks. IEEE BigData Alexander Geiger, Dongyu Liu, Sarah Alnegheimish, Alfredo Cuesta-Infante, Kalyan Veeramachaneni
2020	J	`jnl`	TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks. CoRR Alexander Geiger, Dongyu Liu, Sarah Alnegheimish, Alfredo Cuesta-Infante, Kalyan Veeramachaneni
2019	J	`jnl`	Learning Fair Classifiers in Online Stochastic Settings. CoRR Yi Sun, Iván Ramírez, Alfredo Cuesta-Infante, Kalyan Veeramachaneni
2019	A*	`conf`	Learning Vine Copula Models for Synthetic Data Generation. AAAI Yi Sun, Alfredo Cuesta-Infante, Kalyan Veeramachaneni
2019	A*	`conf`	Modeling Tabular data using Conditional GAN. NeurIPS Lei Xu, Maria Skoularidou, Alfredo Cuesta-Infante, Kalyan Veeramachaneni
2019	J	`jnl`	Modeling Tabular data using Conditional GAN. CoRR Lei Xu, Maria Skoularidou, Alfredo Cuesta-Infante, Kalyan Veeramachaneni
2019	J	`jnl`	Robust Invisible Video Watermarking with Attention. CoRR Kevin Alex Zhang, Lei Xu, Alfredo Cuesta-Infante, Kalyan Veeramachaneni
2019	J	`jnl`	SteganoGAN: High Capacity Image Steganography with GANs. CoRR Kevin Alex Zhang, Alfredo Cuesta-Infante, Lei Xu, Kalyan Veeramachaneni
2018	J	`jnl`	Learning Vine Copula Models For Synthetic Data Generation. CoRR Yi Sun, Alfredo Cuesta-Infante, Kalyan Veeramachaneni
2017	—	`conf`	ATM: A distributed, collaborative, scalable system for automated machine learning. IEEE BigData Thomas Swearingen, Will Drevo, Bennett Cyphers, Alfredo Cuesta-Infante, Arun Ross, Kalyan Veeramachaneni
2017	—	`conf`	Learning Representations for Log Data in Cybersecurity. CSCML Ignacio Arnaldo, Alfredo Cuesta-Infante, Ankit Arun, Mei Lam, Costas Bassias, Kalyan Veeramachaneni
2017	B	`conf`	Sample, Estimate, Tune: Scaling Bayesian Auto-Tuning of Data Science Pipelines. DSAA Alec Anderson, Sébastien Dubois, Alfredo Cuesta-Infante, Kalyan Veeramachaneni
2016	J	`jnl`	Lightweight tracking-by-detection system for multiple pedestrian targets. Integr. Comput. Aided Eng. Borja Lacabex, Alfredo Cuesta-Infante, Antonio S. Montemayor, Juan José Pantrigo
2016	—	`conf`	Markov Switching Copula Models for Longitudinal Data. ICDM Workshops Alfredo Cuesta-Infante, Kalyan Veeramachaneni
2015	J	`jnl`	Comparative study of meta-heuristic 3D floorplanning algorithms. Neurocomputing Alfredo Cuesta-Infante, J. Manuel Colmenar, Zorana Bankovic, José L. Risco-Martín, Marina Zapater, José Ignacio Hidalgo, José Luis Ayala, José Manuel Moya
2015	A*	`conf`	Copula Graphical Models for Wind Resource Estimation. IJCAI Kalyan Veeramachaneni, Alfredo Cuesta-Infante, Una-May O'Reilly
2015	—	`conf`	Pedestrian Tracking-by-Detection Using Image Density Projections and Particle Filters. IWINAC (2) Borja Lacabex, Alfredo Cuesta-Infante, Antonio S. Montemayor, Juan José Pantrigo
2014	—	`conf`	Clarke and parkes error grid analysis of diabetic glucose models obtained with evolutionary computation. GECCO (Companion) José Ignacio Hidalgo, J. Manuel Colmenar, José Luis Risco-Martín, Esther Maqueda, Marta Botella, José Antonio Rubio, Alfredo Cuesta-Infante, Oscar Garnica, Juan Lanchares
2014	J	`jnl`	Modeling glycemia in humans by means of Grammatical Evolution. Appl. Soft Comput. José Ignacio Hidalgo, J. Manuel Colmenar, José Luis Risco-Martín, Alfredo Cuesta-Infante, Esther Maqueda, Marta Botella, José Antonio Rubio
2014	J	`jnl`	glUCModel: A monitoring and modeling system for chronic diseases applied to diabetes. J. Biomed. Informatics José Ignacio Hidalgo, Esther Maqueda, José L. Risco-Martín, Alfredo Cuesta-Infante, J. Manuel Colmenar, Javier Nobel
2013	—	`conf`	An evolutionary methodology for automatic design of finite state machines. GECCO (Companion) J. Manuel Colmenar, Alfredo Cuesta-Infante, José L. Risco-Martín, José Ignacio Hidalgo
2013	J	`jnl`	Boosting the 3D thermal-aware floorplanning problem through a master-worker parallel MOEA. Concurr. Comput. Pract. Exp. Ignacio Arnaldo, Alfredo Cuesta-Infante, J. Manuel Colmenar, José L. Risco-Martín, José L. Ayala
2011	—	`conf`	(1+2)-evolution strategy for fitting a straight shuffle of min to a dataset. GECCO (Companion) Alfredo Cuesta-Infante, José Ignacio Hidalgo, María Victoria Rivas
2011	C	`conf`	On a generalized name entity recognizer based on Hidden Markov Models. ISDA J. Manuel Colmenar, Miguel A. Abánades, Fernando Poza, Diego Martín, Alfredo Cuesta-Infante, Alberto Herran, José Ignacio Hidalgo
2010	B	`conf`	Bivariate empirical and n-variate Archimedean copulas in estimation of distribution algorithms. IEEE Congress on Evolutionary Computation Alfredo Cuesta-Infante, Roberto Santana, José Ignacio Hidalgo, Concha Bielza, Pedro Larrañaga