Alfredo Cuesta-Infante

According to our database, Alfredo Cuesta-Infante authored at least 40 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Single Word Change is All You Need: Designing Attacks and Defenses for Text Classifiers.

Lei Xu, Sarah Alnegheimish, Laure Berti-Équille, Alfredo Cuesta-Infante, Kalyan Veeramachaneni

CoRR, 2024

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

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

Towards Clear Evaluation of Robotic Visual Semantic Navigation.

Carlos Gutiérrez-Álvarez, Sergio Hernández-García, Nadia Nasri, Alfredo Cuesta-Infante, Roberto Javier López-Sastre

Proceedings of the 9th International Conference on Automation, Robotics and Applications, 2023

The ETS2 Dataset, Synthetic Data from Video Games for Monocular Depth Estimation.

David María-Arribas, Alfredo Cuesta-Infante, Juan José Pantrigo

Proceedings of the Pattern Recognition and Image Analysis - 11th Iberian Conference, 2023

Synthetic Spermatozoa Video Sequences Generation Using Adversarial Imitation Learning.

Sergio Hernández-García, Alfredo Cuesta-Infante, Antonio S. Montemayor

Proceedings of the Pattern Recognition and Image Analysis - 11th Iberian Conference, 2023

2022

Visual classification of dumpsters with capsule networks.

Francisco José García-Espinosa, David Concha, Juan José Pantrigo, Alfredo Cuesta-Infante

Multim. Tools Appl., 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

Automatic Annotation for Weakly Supervised Pedestrian Detection.

Francisco José García-Espinosa, Antonio S. Montemayor, Alfredo Cuesta-Infante

Proceedings of the Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence, 2022

R&R: Metric-guided Adversarial Sentence Generation.

Lei Xu, Alfredo Cuesta-Infante, Laure Berti-Équille, Kalyan Veeramachaneni

Proceedings of the Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, 2022

In Situ Augmentation for Defending Against Adversarial Attacks on Text Classifiers.

Lei Xu, Laure Berti-Équille, Alfredo Cuesta-Infante, Kalyan Veeramachaneni

Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021

Towards Reducing Biases in Combining Multiple Experts Online.

Yi Sun, Iván Ramírez Díaz, Alfredo Cuesta-Infante, Kalyan Veeramachaneni

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Human Activity Recognition with Capsule Networks.

Laura Llopis-Ibor, Alfredo Cuesta-Infante, Cesar Beltran-Royo, Juan José Pantrigo

Proceedings of the Advances in Artificial Intelligence, 2021

Deep Reinforcement and Imitation Learning for Self-driving Tasks.

Sergio Hernández-García, Alfredo Cuesta-Infante

Proceedings of the Advances in Artificial Intelligence, 2021

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

Pedestrian detection with LeNet-like convolutional networks.

Alfredo Cuesta-Infante, Francisco J. García, Juan José Pantrigo, Antonio S. Montemayor

Neural Comput. Appl., 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

Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications.

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

Neurocomputing, 2020

TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks.

Alexander Geiger, Dongyu Liu, Sarah Alnegheimish, Alfredo Cuesta-Infante, Kalyan Veeramachaneni

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Robust Invisible Video Watermarking with Attention.

Kevin Alex Zhang, Lei Xu, Alfredo Cuesta-Infante, Kalyan Veeramachaneni

CoRR, 2019

Learning Fair Classifiers in Online Stochastic Settings.

Yi Sun, Iván Ramírez, Alfredo Cuesta-Infante, Kalyan Veeramachaneni

CoRR, 2019

SteganoGAN: High Capacity Image Steganography with GANs.

Kevin Alex Zhang, Alfredo Cuesta-Infante, Lei Xu, Kalyan Veeramachaneni

CoRR, 2019

Modeling Tabular data using Conditional GAN.

Lei Xu, Maria Skoularidou, Alfredo Cuesta-Infante, Kalyan Veeramachaneni

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning Vine Copula Models for Synthetic Data Generation.

Yi Sun, Alfredo Cuesta-Infante, Kalyan Veeramachaneni

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2017

Sample, Estimate, Tune: Scaling Bayesian Auto-Tuning of Data Science Pipelines.

Alec Anderson, Sébastien Dubois, Alfredo Cuesta-Infante, Kalyan Veeramachaneni

Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

Learning Representations for Log Data in Cybersecurity.

Ignacio Arnaldo, Alfredo Cuesta-Infante, Ankit Arun, Mei Lam, Costas Bassias, Kalyan Veeramachaneni

Proceedings of the Cyber Security Cryptography and Machine Learning, 2017

ATM: A distributed, collaborative, scalable system for automated machine learning.

Thomas Swearingen, Will Drevo, Bennett Cyphers, Alfredo Cuesta-Infante, Arun Ross, Kalyan Veeramachaneni

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

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

Markov Switching Copula Models for Longitudinal Data.

Alfredo Cuesta-Infante, Kalyan Veeramachaneni

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

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

Pedestrian Tracking-by-Detection Using Image Density Projections and Particle Filters.

Borja Lacabex, Alfredo Cuesta-Infante, Antonio S. Montemayor, Juan José Pantrigo

Proceedings of the Bioinspired Computation in Artificial Systems, 2015

Copula Graphical Models for Wind Resource Estimation.

Kalyan Veeramachaneni, Alfredo Cuesta-Infante, Una-May O'Reilly

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

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

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

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

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

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

An evolutionary methodology for automatic design of finite state machines.

J. Manuel Colmenar, Alfredo Cuesta-Infante, José L. Risco-Martín, José Ignacio Hidalgo

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

2011

On a generalized name entity recognizer based on Hidden Markov Models.

J. Manuel Colmenar, Miguel A. Abánades, Fernando Poza, Diego Martín, Alfredo Cuesta-Infante, Alberto Herran, José Ignacio Hidalgo

Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

(1+2)-evolution strategy for fitting a straight shuffle of min to a dataset.

Alfredo Cuesta-Infante, José Ignacio Hidalgo, María Victoria Rivas

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010

Bivariate empirical and n-variate Archimedean copulas in estimation of distribution algorithms.

Alfredo Cuesta-Infante, Roberto Santana, José Ignacio Hidalgo, Concha Bielza, Pedro Larrañaga

Proceedings of the IEEE Congress on Evolutionary Computation, 2010