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ES
Publicaciones en congresos
Koji Hitomi, Kenji Matsui, Alberto Rivas, Juan Manuel Corchado (2019). Development of a Dangerous Driving Suppression System Using Inverse Reinforcement Learning and Blockchain. DCAI 2019: 3-9.
Lorna Uden, I-Hsien Ting, Juan Manuel Corchado (2019). Knowledge Management in Organizations. KMO 2019. Communications in Computer and Information Science 1027, Springer 2019.
Denisa Reshef Kera, Petr Sourek, Mateusz Krainski, Yair Reshef, Juan Manuel Corchado Rodríguez, Iva Magdalena Knobloch (2019). Lithopia: Prototyping Blockchain Futures. CHI Extended Abstracts 2019.
Alda Canito, Goreti Marreiros, Juan Manuel Corchado (2019). Automatic Document Annotation with Data Mining Algorithms. WorldCIST (1) 2019: 68-76.
Alfonso González-Briones, Yeray Mezquita Martín, José A. Castellanos-Garzón, Javier Prieto, Juan M. Corchado (2019). Intelligent multi-agent system for water reduction in automotive irrigation processes. ANT/EDI40 2019: 971-976.
Sergio Márquez Sánchez, Roberto Casado-Vara, Francisco Javier García Criado, Sara Rodríguez-González, Javier Prieto Tejedor, Juan Manuel Corchado (2019). Smart PPE and CPE Platform for Electric Industry Workforce. SOCO 2019: 422-431.
Niloufar Shoeibi, Farrokh Karimi, Juan Manuel Corchado (2019). Artificial Intelligence as a Way of Overcoming Visual Disorders: Damages Related to Visual Cortex, Optic Nerves and Eyes. DCAI (Special Sessions) 2019: 183-187.
Alberto Rivas, Jesús M. Fraile, Pablo Chamoso, Alfonso González-Briones, Inés Sittón, Juan M. Corchado (2019). A Predictive Maintenance Model Using Recurrent Neural Networks. SOCO 2019: 261-270.
Alberto Rivas, Jesús M. Fraile, Pablo Chamoso, Alfonso González-Briones, Sara Rodríguez, Juan M. Corchado (2019). Students Performance Analysis Based on Machine Learning Techniques. LTEC 2019: 428-438.
Javier Prieto, Ashok Kumar Das, Stefano Ferretti, António Pinto, Juan Manuel Corchado (2019). Blockchain and Applications. BLOCKCHAIN 2019. Advances in Intelligent Systems and Computing 1010, Springer 2020, ISBN 978-3-030-23812-4.