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ORCIDAlfredo Cuesta-Infante
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2020 – today
- 2024
[i10]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 abs/2401.17196 (2024)- [i9]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 abs/2404.11592 (2024) - 2023
- [j13]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: 118580 (2023) - [j12]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): 1379-1394 (2023) - [c23]David María-Arribas, Alfredo Cuesta-Infante, Juan José Pantrigo:
The ETS2 Dataset, Synthetic Data from Video Games for Monocular Depth Estimation. IbPRIA 2023: 375-386 - [c22]Sergio Hernández-García, Alfredo Cuesta-Infante, Antonio S. Montemayor:
Synthetic Spermatozoa Video Sequences Generation Using Adversarial Imitation Learning. IbPRIA 2023: 569-580 - [c21]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: 340-345 - [i8]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 abs/2303.03779 (2023) - [i7]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 abs/2305.04827 (2023) - 2022
- [j11]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: 84648-84663 (2022) - [j10]Francisco José García-Espinosa, David Concha, Juan José Pantrigo, Alfredo Cuesta-Infante:
Visual classification of dumpsters with capsule networks. Multim. Tools Appl. 81(21): 31129-31143 (2022) - [c20]Lei Xu, Laure Berti-Équille, Alfredo Cuesta-Infante, Kalyan Veeramachaneni:
In Situ Augmentation for Defending Against Adversarial Attacks on Text Classifiers. ICONIP (3) 2022: 485-496 - [c19]Lei Xu, Alfredo Cuesta-Infante, Laure Berti-Équille, Kalyan Veeramachaneni:
R&R: Metric-guided Adversarial Sentence Generation. AACL/IJCNLP (Findings) 2022: 438-452 - [c18]Francisco José García-Espinosa, Antonio S. Montemayor, Alfredo Cuesta-Infante:
Automatic Annotation for Weakly Supervised Pedestrian Detection. IWINAC (1) 2022: 308-317 - 2021
- [c17]Sergio Hernández-García, Alfredo Cuesta-Infante:
Deep Reinforcement and Imitation Learning for Self-driving Tasks. CAEPIA 2021: 65-74 - [c16]Laura Llopis-Ibor, Alfredo Cuesta-Infante, Cesar Beltran-Royo, Juan José Pantrigo:
Human Activity Recognition with Capsule Networks. CAEPIA 2021: 75-85 - [c15]Yi Sun, Iván Ramírez Díaz, Alfredo Cuesta-Infante, Kalyan Veeramachaneni:
Towards Reducing Biases in Combining Multiple Experts Online. IJCAI 2021: 3024-3030 - 2020
- [j9]Iván Ramírez, Alfredo Cuesta-Infante, Emanuele Schiavi, Juan José Pantrigo:
Bayesian capsule networks for 3D human pose estimation from single 2D images. Neurocomputing 379: 64-73 (2020) - [j8]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: 237-270 (2020) - [j7]Alfredo Cuesta-Infante, Francisco José García-Espinosa, Juan José Pantrigo, Antonio S. Montemayor:
Pedestrian detection with LeNet-like convolutional networks. Neural Comput. Appl. 32(17): 13175-13181 (2020) - [j6]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): 13203-13211 (2020) - [c14]Alexander Geiger, Dongyu Liu, Sarah Alnegheimish, Alfredo Cuesta-Infante, Kalyan Veeramachaneni:
TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks. IEEE BigData 2020: 33-43 - [i6]Alexander Geiger, Dongyu Liu, Sarah Alnegheimish, Alfredo Cuesta-Infante, Kalyan Veeramachaneni:
TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks. CoRR abs/2009.07769 (2020)
2010 – 2019
- 2019
- [c13]Yi Sun, Alfredo Cuesta-Infante, Kalyan Veeramachaneni:
Learning Vine Copula Models for Synthetic Data Generation. AAAI 2019: 5049-5057 - [c12]Lei Xu, Maria Skoularidou, Alfredo Cuesta-Infante, Kalyan Veeramachaneni:
Modeling Tabular data using Conditional GAN. NeurIPS 2019: 7333-7343 - [i5]Kevin Alex Zhang, Alfredo Cuesta-Infante, Lei Xu, Kalyan Veeramachaneni:
SteganoGAN: High Capacity Image Steganography with GANs. CoRR abs/1901.03892 (2019) - [i4]Lei Xu, Maria Skoularidou, Alfredo Cuesta-Infante, Kalyan Veeramachaneni:
Modeling Tabular data using Conditional GAN. CoRR abs/1907.00503 (2019) - [i3]Yi Sun, Iván Ramírez, Alfredo Cuesta-Infante, Kalyan Veeramachaneni:
Learning Fair Classifiers in Online Stochastic Settings. CoRR abs/1908.07009 (2019) - [i2]Kevin Alex Zhang, Lei Xu, Alfredo Cuesta-Infante, Kalyan Veeramachaneni:
Robust Invisible Video Watermarking with Attention. CoRR abs/1909.01285 (2019) - 2018
- [i1]Yi Sun, Alfredo Cuesta-Infante, Kalyan Veeramachaneni:
Learning Vine Copula Models For Synthetic Data Generation. CoRR abs/1812.01226 (2018) - 2017
- [c11]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: 151-162 - [c10]Ignacio Arnaldo, Alfredo Cuesta-Infante, Ankit Arun, Mei Lam, Costas Bassias, Kalyan Veeramachaneni:
Learning Representations for Log Data in Cybersecurity. CSCML 2017: 250-268 - [c9]Alec Anderson, Sébastien Dubois, Alfredo Cuesta-Infante, Kalyan Veeramachaneni:
Sample, Estimate, Tune: Scaling Bayesian Auto-Tuning of Data Science Pipelines. DSAA 2017: 361-372 - 2016
- [j5]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): 299-311 (2016) - [c8]Alfredo Cuesta-Infante, Kalyan Veeramachaneni:
Markov Switching Copula Models for Longitudinal Data. ICDM Workshops 2016: 1104-1109 - 2015
- [j4]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: 67-81 (2015) - [c7]Kalyan Veeramachaneni, Alfredo Cuesta-Infante, Una-May O'Reilly:
Copula Graphical Models for Wind Resource Estimation. IJCAI 2015: 2646-2654 - [c6]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: 166-174 - 2014
- [j3]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: 40-53 (2014) - [j2]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: 183-192 (2014) - [c5]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: 1305-1312 - 2013
- [j1]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): 1089-1103 (2013) - [c4]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: 139-140 - 2011
- [c3]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: 115-116 - [c2]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: 952-958 - 2010
- [c1]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: 1-8
Coauthor Index
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last updated on 2024-11-14 20:59 CET by the dblp team
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