His primary areas of study are Artificial intelligence, Field, Optimization problem, Data science and Machine learning. His research on Artificial intelligence often connects related topics like Software deployment. His research integrates issues of Taxonomy, Interpretability, Deep learning and Rule-based system in his study of Field.
The Optimization problem study combines topics in areas such as Genetic algorithm, Computation, Distributed computing and Visualization. His research in Data science intersects with topics in Big data and Behavioral pattern. His work on Spiking neural network as part of his general Machine learning study is frequently connected to Term, thereby bridging the divide between different branches of science.
Javier Del Ser spends much of his time researching Artificial intelligence, Machine learning, Algorithm, Mathematical optimization and Optimization problem. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Field, Heuristics and Pattern recognition. In his study, which falls under the umbrella issue of Field, Big data is strongly linked to Data science.
When carried out as part of a general Machine learning research project, his work on Concept drift, Data stream mining and Feature selection is frequently linked to work in Online learning, therefore connecting diverse disciplines of study. The various areas that he examines in his Optimization problem study include Evolutionary computation, Distributed computing and Metaheuristic. The study incorporates disciplines such as Task and Taxonomy in addition to Deep learning.
Javier Del Ser mostly deals with Artificial intelligence, Deep learning, Machine learning, Field and Optimization problem. His Artificial intelligence research is multidisciplinary, incorporating elements of Swarm intelligence, Task, Heuristics and Data science. His studies in Deep learning integrate themes in fields like Convolutional neural network and Taxonomy.
His Machine learning research is multidisciplinary, relying on both Computation and State. The concepts of his Field study are interwoven with issues in Interpretability, Computational intelligence, Management science and Intelligent transportation system. The Interpretability study which covers Rule-based system that intersects with Software deployment.
Javier Del Ser focuses on Artificial intelligence, Machine learning, Deep learning, Field and Metaheuristic. His Artificial intelligence research incorporates elements of Heuristics and Data science. His work on Concept drift, Spiking neural network and Transfer of learning as part of general Machine learning research is frequently linked to Retraining and Online learning, thereby connecting diverse disciplines of science.
His work deals with themes such as Feature extraction, Expert system, Time series and Taxonomy, which intersect with Deep learning. His research in Field intersects with topics in Management science, Software deployment, Task, Interpretability and Rule-based system. He studied Metaheuristic and Evolutionary computation that intersect with Swarm intelligence.
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Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI
Alejandro Barredo Arrieta;Natalia Díaz-Rodríguez;Javier Del Ser;Javier Del Ser;Adrien Bennetot;Adrien Bennetot.
Information Fusion (2020)
Data fusion and machine learning for industrial prognosis: Trends and perspectives towards Industry 4.0
Alberto Diez-Olivan;Javier Del Ser;Javier Del Ser;Diego Galar;Basilio Sierra.
Information Fusion (2019)
Bio-inspired computation: Where we stand and what's next
Javier Del Ser;Javier Del Ser;Eneko Osaba;Daniel Molina;Xin-She Yang.
Swarm and evolutionary computation (2019)
A Critical Review of Robustness in Power Grids Using Complex Networks Concepts
Lucas Cuadra;Sancho Salcedo-Sanz;Javier Del Ser;Silvia Jiménez-Fernández.
Energies (2015)
Road Traffic Forecasting: Recent Advances and New Challenges
Ibai Lana;Javier Del Ser;Manuel Velez;Eleni I. Vlahogianni.
IEEE Intelligent Transportation Systems Magazine (2018)
Millimeter-Wave V2V Communications: Distributed Association and Beam Alignment
Cristina Perfecto;Javier Del Ser;Mehdi Bennis.
IEEE Journal on Selected Areas in Communications (2017)
A Discrete and Improved Bat Algorithm for solving a medical goods distribution problem with pharmacological waste collection
Eneko Osaba;Xin-She Yang;Iztok Fister;Javier Del Ser;Javier Del Ser.
Swarm and evolutionary computation (2019)
Activity Recognition Using Temporal Optical Flow Convolutional Features and Multilayer LSTM
Amin Ullah;Khan Muhammad;Javier Del Ser;Sung Wook Baik.
IEEE Transactions on Industrial Electronics (2019)
Online heart monitoring systems on the internet of health things environments: A survey, a reference model and an outlook
Marcus A. G. Santos;Roberto Muñoz;Rodrigo Olivares;Pedro Pedrosa Rebouças Filho.
Information Fusion (2020)
A discrete water cycle algorithm for solving the symmetric and asymmetric traveling salesman problem
Eneko Osaba;Javier Del Ser;Javier Del Ser;Ali Sadollah;Ali Sadollah;Miren Nekane Bilbao.
Applied Soft Computing (2018)
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