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, 2023)

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, 2022)

Automatic Annotation for Weakly Supervised Pedestrian Detection - Garcia-Espinosa FJ; Montemayor AS; Cuesta-Infante A (Lecture Notes in Computer Science, 2022)

Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications - Gorriz, Juan M.; Ramirez, Javier; Ortiz, Andres; Martinez-Murcia, Francisco J.; Segovia, Fermin; Suckling, John; Leming, Matthew; Zhang, Yu-Dong; Ramon Alvarez-Sanchez, Jose; Bologna, Guido; Bonomini, Paula; Casado, Fernando E.; et al. (Neurocomputing, 2020)

Pedestrian detection with LeNet-like convolutional networks - Cuesta-Infante, Alfredo; Garcia, Francisco J.; Pantrigo, Juan J.; Montemayor, Antonio S.; (Neural Computing & Applications, 2020)

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; (Neural Computing & Applications, 2020)

Lightweight tracking-by-detection system for multiple pedestrian targets - Lacabex, Borja; Cuesta-Infante, Alfredo; Montemayor, Antonio S.; Pantrigo, Juan J.; (Integrated Computer-Aided Engineering, 2016)

Pedestrian Tracking-by-Detection Using Image Density Projections and Particle Filters - Lacabex, B.; Cuesta-Infante, A.; Montemayor, A. S.; Pantrigo, J. J.; (Lecture Notes In Computer Science, 2015)

Fast incremental learning by transfer learning and hierarchical sequencing - Llopis-Ibor L; Beltran-Royo C; Cuesta-Infante A; Pantrigo JJ (Expert Systems With Applications, 2023)

Visual classification of dumpsters with capsule networks - Garcia-Espinosa, Francisco J.; Concha, David; Pantrigo, Juan J.; Cuesta-Infante, Alfredo; (MULTIMEDIA TOOLS AND APPLICATIONS, 2022)

Deep Reinforcement and Imitation Learning for Self-driving Tasks - Hernández-García S; Cuesta-Infante A (Lecture Notes In Computer Science, 2021)

Human Activity Recognition with Capsule Networks - Llopis-Ibor L; Cuesta-Infante A; Beltran-Royo C; Pantrigo JJ (Lecture Notes In Computer Science, 2021)

Towards Reducing Biases in Combining Multiple Experts Online - Sun Y; Díaz IR; Cuesta-Infante A; Veeramachaneni K (Ijcai International Joint Conference On Artificial Intelligence, 2021)

Bayesian capsule networks for 3D human pose estimation from single 2D images - Ramirez, Ivan; Cuesta-Infante, Alfredo; Schiavi, Emanuele; Jose Pantrigo, Juan; (Neurocomputing, 2020)

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), 2020)

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, 2019)

Modeling Tabular Data using Conditional GAN - Xu, Lei; Skoularidou, Maria; Cuesta-Infante, Alfredo; Veeramachaneni, Kalyan; (Advances In Neural Information Processing Systems, 2019)

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, 2017)

ATM: A distributed, collaborative, scalable system for automated machine learning - Swearingen T; Drevo W; Cyphers B; Cuesta-Infante A; Ross A; Veeramachaneni K (2020 Ieee International Conference On Big Data (Big Data), 2017)

Sample, estimate, tune: Scaling Bayesian auto-tuning of data science pipelines - Anderson A; Dubois S; Cuesta-Infante A; Veeramachaneni K (Proceedings - 2017 International Conference On Data Science And Advanced Analytics, Dsaa 2017, 2017)

Markov Switching Copula Models For Longitudinal Data - Cuesta-Infante, Alfredo; Verramachaneni, Kalayan; (Ieee International Conference On Data Mining Workshops, Icdmw, 2016)

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.; (Neurocomputing, 2015)

Copula Graphical Models for Wind Resource Estimation - Veeramachaneni K; Cuesta-Infante A; O'Reilly U-M (PROCEEDINGS OF THE TWENTY-FOURTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI), 2015)

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, 2014)

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. (Applied Soft Computing, 2014)

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, 2014)

Boosting the 3D thermal-aware floorplanning problem through a master-worker parallel MOEA - Arnaldo, Ignacio; Cuesta-Infante, Alfredo; Manuel Colmenar, J.; Risco-Martin, Jose L.; Ayala, Jose L.; (Concurrency And Computation-Practice & Experience, 2013)

Copula functions on Probabilistic Robust Analysis - Cuesta-Infante, Alfredo; (Iecon 2015 - 41st Annual Conference Of The Ieee Industrial Electronics Society, 2009)

Bivariate empirical and n-variate Archimedean copulas in Estimation of Distribution Algorithms - Cuesta-Infante, A; Santana, R; Hidalgo, JI; Bielza, C; Larrañaga, P (2010 Ieee Congress On Evolutionary Computation (Cec), 2010)

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 (2022)

Proyecto Neruda: extracción de entidades usando modelos ocultos de Markov - Alfredo Cuesta Infante; Diego Martín Martín; José Manuel Colmenar; José Ignacio Hidalgo Pérez; Miguel A Abánades Astudillo; Fernando Poza Saura; Alberto Herrán González (Na, 2010)

Más allá de las suites ofimáticas: papel de las tecnologías de la informacion en la gestión empresarial - Alfredo Cuesta Infante; María Victoria Rivas López (Na, 2010)

Modelo de determinación de prima de un producto alternativo combinado de transferencia de riesgos - María Victoria Rivas López; Alfredo Cuesta Infante (Enlaces: Revista Del Ces Felipe Ii, 2009)

Funciones de distribución conjuntas: una aproximación desde las funciones cópula - Alfredo Cuesta Infante; María Victoria Rivas López (Na, 2008)

Ejercicios Adicionales Calificados en Ingeniería Técnica en Informática de Sistemas: una experiencia educativa hacia la evaluación continua - Nuria Joglar Prieto; Diego Martín; Alfredo Cuesta Infante; Miguel A Abánades Astudillo; José Ignacio Hidalgo Pérez (Enlaces: Revista Del Ces Felipe Ii, 2008)

Evaluación online en educación secundaria y universitaria: una experiencia de enseñanza-aprendizaje - Nuria Joglar Prieto; Rubén Sánchez; Alberto Díaz Esteban; Diego Martín Martín; José Manuel Colmenar; Iván Martínez; Alfredo Cuesta Infante; José Luis Risco Martín; José Ignacio Hidalgo Pérez (Na, 2007)

Control PID multifrecuencia: contribuciones al modelo y sintonía - Alfredo Cuesta Infante (Na, 2007)

Cálculo empírico basado en la teoría de cópulas de la prima de un Industry Loss Warranty - María Victoria Rivas López; María José Pérez Fructuoso; Alfredo Cuesta Infante (Anales Del Instituto De Actuarios Españoles, 2007)

Decisiones de transferencia de riesgos mediante la Teoría de Cópulas: aplicación a los productos - María José Pérez Fructuoso; Alfredo Cuesta Infante; María Victoria Rivas López (Gerencia De Riesgos Y Seguros, 2006)

Aplicación de la teoría de cópulas al cálculo de la prima de emisión de los bonos sobre catástrofes - María Victoria Rivas López; María José Pérez Fructuoso; Alfredo Cuesta Infante (Anales Del Instituto De Actuarios Españoles, 2004)