Cuesta Infante, Alfredo alfredo.cuesta@urjc.es

Publications

Fast incremental learning by transfer learning and hierarchical sequencing

  • Llopis-Ibor L
  • Beltran-Royo C
  • Cuesta-Infante A
  • Pantrigo JJ

Expert Systems With Applications - 1/2/2023

10.1016/j.eswa.2022.118580 View at source

  • ISSN 09574174

Deep reinforcement learning for automated search of model parameters: photo-fenton wastewater disinfection case study

  • Hernández-García S
  • Cuesta-Infante A
  • Moreno-SanSegundo JÁ
  • Montemayor AS

Neural Computing & Applications (p. 1379-1394) - 1/1/2023

10.1007/s00521-022-07803-3 View at source

  • ISSN 14333058

Visual classification of dumpsters with capsule networks

  • Garcia-Espinosa, Francisco J.
  • Concha, David
  • Pantrigo, Juan J.
  • Cuesta-Infante, Alfredo;

MULTIMEDIA TOOLS AND APPLICATIONS (p. 31129-31143) - 1/9/2022

10.1007/s11042-022-12899-9 View at source

  • ISSN 13807501

Mobile Robot Path Planning Using a QAPF Learning Algorithm for Known and Unknown Environments

  • Orozco-Rosas, Ulises
  • Picos, Kenia
  • Pantrigo, Juan J.
  • Montemayor, Antonio S.
  • Cuesta-Infante, Alfredo;

IEEE Access (p. 84648-84663) - 1/1/2022

10.1109/access.2022.3197628 View at source

  • ISSN 21693536

Bayesian capsule networks for 3D human pose estimation from single 2D images

  • Ramirez, Ivan
  • Cuesta-Infante, Alfredo
  • Schiavi, Emanuele
  • Jose Pantrigo, Juan;

Neurocomputing (p. 64-73) - 28/2/2020

10.1016/j.neucom.2019.09.101 View at source

  • ISSN 09252312

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

  • Górriz JM
  • Ramírez J
  • Ortíz A
  • Martínez-Murcia FJ
  • Segovia F
  • Suckling J
  • Leming M
  • Zhang Y-D
  • Álvarez-Sánchez JR
  • Bologna G
  • Bonomini P
  • Casado FE
  • Charte D
  • Charte F
  • Contreras R
  • Cuesta-Infante A
  • Duro RJ
  • Fernández-Caballero A
  • Fernández-Jover E
  • Gómez-Vilda P
  • Graña M
  • Herrera F
  • Iglesias R
  • Lekova A
  • de Lope J
  • López-Rubio E
  • Martínez-Tomás R
  • Molina-Cabello MA
  • Montemayor AS
  • Novais P
  • Palacios-Alonso D
  • Pantrigo JJ
  • Payne BR
  • de la Paz López F
  • Pinninghoff MA
  • Rincón M
  • Santos J
  • Thurnhofer-Hemsi K
  • Tsanas A
  • Varela R
  • Ferrández JM
... View more Collapse

Neurocomputing (p. 237-270) - 14/10/2020

Editor: Elsevier B.V.

10.1016/j.neucom.2020.05.078 View at source

  • ISSN 09252312
  • ISSN/ISBN 1872-8286

Comparative study of meta-heuristic 3D floorplanning algorithms

  • Cuesta-Infante, Alfredo
  • Colmenar, J. Manuel
  • Bankovic, Zorana
  • Risco-Martin, Jose L.
  • Zapater, Marina
  • Hidalgo, J. Ignacio
  • Ayala, Jose L.
  • Moya, Jose M.;
... View more Collapse

Neurocomputing (p. 67-81) - 20/2/2015

10.1016/j.neucom.2014.06.078 View at source

  • ISSN 09252312

Modeling glycemia in humans by means of Grammatical Evolution

  • Hidalgo, J.I.
  • Colmenar, J.M.
  • Risco-Martin, J.L.
  • Cuesta-Infante, A.
  • Maqueda, E.
  • Botella, M.
  • Rubio, J.A.
... View more Collapse

Applied Soft Computing (p. 40-53) - 1/7/2014

Editor: Elsevier Ltd

10.1016/j.asoc.2013.11.006 View at source

  • ISSN 15684946
  • ISSN/ISBN 1568-4946

glUCModel: A monitoring and modeling system for chronic diseases applied to diabetes

  • Ignacio Hidalgo, J.
  • Maqueda, Esther
  • Risco-Martin, Jose L.
  • Cuesta-Infante, Alfredo
  • Manuel Colmenar, J.
  • Nobel, Javier;

Journal Of Biomedical Informatics (p. 183-192) - 1/4/2014

10.1016/j.jbi.2013.12.015 View at source

  • ISSN 15320464

Real time evolvable hardware for optimal reconfiguration of cusp-like pulse shapers

  • Lanchares, Juan
  • Garnica, Oscar
  • Risco-Martin, Jose L.
  • Hidalgo, J. Ignacio
  • Colmenar, J. Manuel
  • Cuesta-Infante, Alfredo;

Nuclear Instruments & Methods In Physics Research Section A-Accelerators Spectrometers Detectors And Associated Equipment (p. 124-131) - 1/11/2014

10.1016/j.nima.2014.05.099 View at source

  • ISSN 01689002

This researcher has no books.

This researcher has no book chapters.

Automatic Annotation for Weakly Supervised Pedestrian Detection

  • Garcia-Espinosa FJ
  • Montemayor AS
  • Cuesta-Infante A

Lecture Notes in Computer Science (p. 308-317) - 1/1/2022

10.1007/978-3-031-06527-9_30 View at source

  • ISSN 03029743

Deep Reinforcement and Imitation Learning for Self-driving Tasks

  • Hernández-García S
  • Cuesta-Infante A

Lecture Notes In Computer Science (p. 65-74) - 1/1/2021

10.1007/978-3-030-85713-4_7 View at source

  • ISSN 03029743

Human Activity Recognition with Capsule Networks

  • Llopis-Ibor L
  • Cuesta-Infante A
  • Beltran-Royo C
  • Pantrigo JJ

Lecture Notes In Computer Science (p. 75-85) - 1/1/2021

10.1007/978-3-030-85713-4_8 View at source

  • ISSN 03029743

Towards Reducing Biases in Combining Multiple Experts Online

  • Sun Y
  • Díaz IR
  • Cuesta-Infante A
  • Veeramachaneni K

Ijcai International Joint Conference On Artificial Intelligence (p. 3024-3030) - 1/1/2021

  • ISSN 10450823
  • iMarina

Pedestrian detection with LeNet-like convolutional networks

  • Cuesta-Infante, Alfredo
  • Garcia, Francisco J.
  • Pantrigo, Juan J.
  • Montemayor, Antonio S.;

Neural Computing & Applications (p. 13175-13181) - 1/9/2020

10.1007/s00521-017-3197-z View at source

  • ISSN 14333058

Convolutional neural networks for computer vision-based detection and recognition of dumpsters

  • Ramirez, Ivan
  • Cuesta-Infante, Alfredo
  • Pantrigo, Juan J.
  • Montemayor, Antonio S.
  • Moreno, Jose Luis
  • Alonso, Valvanera
  • Anguita, Gema
  • Palombarani, Luciano;
... View more Collapse

Neural Computing & Applications (p. 13203-13211) - 1/9/2020

10.1007/s00521-018-3390-8 View at source

  • ISSN 14333058

TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks

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

2020 Ieee International Conference On Big Data (Big Data) (p. 33-43) - 1/1/2020

10.1109/bigdata50022.2020.9378139 View at source

  • ISSN 26391589

Learning Vine Copula Models for Synthetic Data Generation

  • Sun Y
  • Cuesta-Infante A
  • Veeramachaneni K

Thirty-Third Aaai Conference On Artificial Intelligence / Thirty-First Innovative Applications Of Artificial Intelligence Conference / Ninth Aaai Symposium On Educational Advances In Artificial Intelligence (p. 5049-5057) - 1/1/2019

  • ISSN 21595399
  • iMarina

Modeling Tabular Data using Conditional GAN

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

Advances In Neural Information Processing Systems - 1/1/2019

  • ISSN 10495258
  • iMarina

Learning Representations for Log Data in Cybersecurity

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

Lecture Notes In Computer Science (p. 250-268) - 1/1/2017

10.1007/978-3-319-60080-2_19 View at source

  • ISSN 03029743

This researcher has no working papers.

This researcher has no technical reports.

This researcher has no research projects.

Clasificación y seguimiento visual de entidades en entornos urbanos mediante redes de neuronas convolucionales

  • Cuesta Infante, Alfredo (Codirector)
  • Sanz Montemayor, Antonio (Tutor) Doctorando: FRANCISCO JOSE GARCIA ESPINOSA

16/12/2022

  • iMarina

This researcher has no patents or software licenses.

Last data update: 8/28/24 10:41 AM