Javier Del Ser

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 353

Top Venues

Publications

Haroon Wahab, Irfan Mehmood, Hassan Ugail, Javier Del Ser, Khan Muhammad
Federated Deep Learning for Wireless Capsule Endoscopy Analysis: Enabling Collaboration Across Multiple Data Centers for Robust Learning of Diverse Pathologies. Future Gener. Comput. Syst. 152 (2024)
Nuria Rodríguez Barroso, Javier Del Ser, María Victoria Luzón, Francisco Herrera
Defense Strategy against Byzantine Attacks in Federated Machine Learning: Developments towards Explainability. FUZZ (2024)
Javier Poyatos, Javier Del Ser, Salvador García, Hisao Ishibuchi, Daniel Molina, Isaac Triguero, Bing Xue, Xin Yao, Francisco Herrera
Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects. CoRR (2024)
María Victoria Luzón, Nuria Rodríguez Barroso, Alberto Argente-Garrido, Daniel Jiménez-López, Jose M. Moyano, Javier Del Ser, Weiping Ding, Francisco Herrera
A Tutorial on Federated Learning from Theory to Practice: Foundations, Software Frameworks, Exemplary Use Cases, and Selected Trends. IEEE CAA J. Autom. Sinica 11 (4) (2024)
Javier Sánchez Cubillo, Javier Del Ser, José Luis Martín
Toward Fully Automated Inspection of Critical Assets Supported by Autonomous Mobile Robots, Vision Sensors, and Artificial Intelligence. Sensors 24 (12) (2024)
Erik B. Terres-Escudero, Javier Del Ser, Aitor Martínez-Seras, Pablo García Bringas
On the Robustness of Fully-Spiking Neural Networks in Open-World Scenarios using Forward-Only Learning Algorithms. CoRR (2024)
Isaac Triguero, Daniel Molina, Javier Poyatos, Javier Del Ser, Francisco Herrera
General Purpose Artificial Intelligence Systems (GPAIS): Properties, definition, taxonomy, societal implications and responsible governance. Inf. Fusion 103 (2024)
Cristian Ramírez-Atencia, Javier Del Ser, David Camacho
Weighted strategies to guide a multi-objective evolutionary algorithm for multi-UAV mission planning. CoRR (2024)
Erik B. Terres-Escudero, Javier Del Ser, Pablo García-Bringas
Emerging NeoHebbian Dynamics in Forward-Forward Learning: Implications for Neuromorphic Computing. CoRR (2024)
Sheezan Fayaz, Shabir A. Parah, G. J. Qureshi, Jaime Lloret, Javier Del Ser, Khan Muhammad
Intelligent Underwater Object Detection and Image Restoration for Autonomous Underwater Vehicles. IEEE Trans. Veh. Technol. 73 (2) (2024)
Luca Longo, Mario Brcic, Federico Cabitza, Jaesik Choi, Roberto Confalonieri, Javier Del Ser, Riccardo Guidotti, Yoichi Hayashi, Francisco Herrera, Andreas Holzinger, Richard Jiang, Hassan Khosravi, Freddy Lécué, Gianclaudio Malgieri, Andrés Páez, Wojciech Samek, Johannes Schneider, Timo Speith, Simone Stumpf
Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions. Inf. Fusion 106 (2024)
Xiaodan Xing, Huanjun Wu, Lichao Wang, Iain Stenson, May Yong, Javier Del Ser, Simon Walsh, Guang Yang
Non-imaging Medical Data Synthesis for Trustworthy AI: A Comprehensive Survey. ACM Comput. Surv. 56 (7) (2024)
Xiaodan Xing, Fadong Shi, Jiahao Huang, Yinzhe Wu, Yang Nan, Sheng Zhang, Yingying Fang, Mike Roberts, Carola-Bibiane Schönlieb, Javier Del Ser, Guang Yang
When AI Eats Itself: On the Caveats of Data Pollution in the Era of Generative AI. CoRR (2024)
Hao Li, Yang Nan, Javier Del Ser, Guang Yang
Large-Kernel Attention for 3D Medical Image Segmentation. Cogn. Comput. 16 (4) (2024)
Shiyi Wang, Yang Nan, Sheng Zhang, Federico Felder, Xiaodan Xing, Yingying Fang, Javier Del Ser, Simon L. F. Walsh, Guang Yang
Probing perfection: The relentless art of meddling for pulmonary airway segmentation from HRCT via a human-AI collaboration based active learning method. Artif. Intell. Medicine 154 (2024)
Amaia Abanda, Ainhoa Pujana, Javier Del Ser
Reconstruction-Based Anomaly Detection in Wind Turbine Operation Time Series Using Generative Models. CAEPIA (2024)
Yang Nan, Javier Del Ser, Zeyu Tang, Peng Tang, Xiaodan Xing, Yingying Fang, Francisco Herrera, Witold Pedrycz, Simon Walsh, Guang Yang
Fuzzy Attention Neural Network to Tackle Discontinuity in Airway Segmentation. IEEE Trans. Neural Networks Learn. Syst. 35 (6) (2024)
Marcos Barcina-Blanco, Jesus L. Lobo, Pablo García Bringas, Javier Del Ser
Managing the unknown in machine learning: Definitions, related areas, recent advances, and prospects. Neurocomputing 599 (2024)
Maria Arostegi, Miren Nekane Bilbao, Jesus L. Lobo, Javier Del Ser
AiGAS-dEVL: An Adaptive Incremental Neural Gas Model for Drifting Data Streams under Extreme Verification Latency. CoRR (2024)
Leandro A. Passos, Danilo Samuel Jodas, Kelton A. P. Costa, Luis Antônio de Souza, Douglas Rodrigues, Javier Del Ser, David Camacho, João Paulo Papa
A review of deep learning-based approaches for deepfake content detection. Expert Syst. J. Knowl. Eng. 41 (8) (2024)
José Daniel Pascual-Triana, Alberto Fernández, Javier Del Ser, Francisco Herrera
Overlap Number of Balls Model-Agnostic CounterFactuals (ONB-MACF): A Data-Morphology-based Counterfactual Generation Method for Trustworthy Artificial Intelligence. CoRR (2024)
Shiyi Wang, Yang Nan, Sheng Zhang, Federico Felder, Xiaodan Xing, Yingying Fang, Javier Del Ser, Simon L. F. Walsh, Guang Yang
Probing Perfection: The Relentless Art of Meddling for Pulmonary Airway Segmentation from HRCT via a Human-AI Collaboration Based Active Learning Method. CoRR (2024)
Mingfu Xiong, Hanmei Chen, Yi Wen, Abdul Khader Jilani Saudagar, Javier Del Ser, Khan Muhammad
Person Re-identification with Spatial Multi-granularity Feature Exploration for Social Risk Situational Assessment. Cogn. Comput. 16 (5) (2024)
Javier Del Ser, Alejandro Barredo Arrieta, Natalia Díaz Rodríguez, Francisco Herrera, Anna Saranti, Andreas Holzinger
On generating trustworthy counterfactual explanations. Inf. Sci. 655 (2024)
Mingfu Xiong, Yang Xu, Ruimin Hu, Zhongyuan Wang, Javier Del Ser, Khan Muhammad, Zixiang Xiong
Domain generalized person reidentification based on skewness regularity of higher-order statistics. Knowl. Based Syst. 301 (2024)
Izaskun Mendia, Sergio Gil-Lopez, Iñaki Grau, Javier Del Ser
A novel approach for the detection of anomalous energy consumption patterns in industrial cyber-physical systems. Expert Syst. J. Knowl. Eng. 41 (2) (2024)
Pathmanathan Pankayaraj, Natalia Díaz Rodríguez, Javier Del Ser
Using Curiosity for an Even Representation of Tasks in Continual Offline Reinforcement Learning. Cogn. Comput. 16 (1) (2024)
Samee Ullah Khan, Noman Khan, Tanveer Hussain, Khan Muhammad, Mohammad Hijji, Javier Del Ser, Sung Wook Baik
Visual Appearance and Soft Biometrics Fusion for Person Re-Identification Using Deep Learning. IEEE J. Sel. Top. Signal Process. 17 (3) (2023)
Shuai Liu, Shichen Huang, Shuai Wang, Khan Muhammad, Paolo Bellavista, Javier Del Ser
Visual tracking in complex scenes: A location fusion mechanism based on the combination of multiple visual cognition flows. Inf. Fusion 96 (2023)
Panagiotis Fafoutellis, Ibai Laña, Javier Del Ser, Eleni I. Vlahogianni
A Causal Deep Learning Framework for Traffic Forecasting. ITSC (2023)
Nasir Rahim, Shaker H. Ali El-Sappagh, Sajid Ali, Khan Muhammad, Javier Del Ser, Tamer Abuhmed
Prediction of Alzheimer's progression based on multimodal Deep-Learning-based fusion and visual Explainability of time-series data. Inf. Fusion 92 (2023)
Piotr S. Maciag, Robert Bembenik, Aleksandra Piekarzewicz, Javier Del Ser, Jesus L. Lobo, Nikola K. Kasabov
Effective air pollution prediction by combining time series decomposition with stacking and bagging ensembles of evolving spiking neural networks. Environ. Model. Softw. 170 (2023)
Alain Andres, Esther Villar-Rodriguez, Javier Del Ser
Collaborative training of heterogeneous reinforcement learning agents in environments with sparse rewards: what and when to share? Neural Comput. Appl. 35 (23) (2023)
Javier Del Ser, Alain Andres, Miren Nekane Bilbao, Ibai Laña, Jesus L. Lobo
Evolutionary Multi-Objective Quantization of Randomization-Based Neural Networks. SSCI (2023)
Alain Andres, Lukas Schäfer, Esther Villar-Rodriguez, Stefano V. Albrecht, Javier Del Ser
Using Offline Data to Speed-up Reinforcement Learning in Procedurally Generated Environments. CoRR (2023)
Alain Andres, Daochen Zha, Javier Del Ser
Enhanced Generalization through Prioritization and Diversity in Self-Imitation Reinforcement Learning over Procedural Environments with Sparse Rewards. CoRR (2023)
Xiaodan Xing, Javier Del Ser, Yinzhe Wu, Yang Li, Jun Xia, Lei Xu, David N. Firmin, Peter Gatehouse, Guang Yang
HDL: Hybrid Deep Learning for the Synthesis of Myocardial Velocity Maps in Digital Twins for Cardiac Analysis. IEEE J. Biomed. Health Informatics 27 (10) (2023)
Luca Longo, Mario Brcic, Federico Cabitza, Jaesik Choi, Roberto Confalonieri, Javier Del Ser, Riccardo Guidotti, Yoichi Hayashi, Francisco Herrera, Andreas Holzinger, Richard Jiang, Hassan Khosravi, Freddy Lécué, Gianclaudio Malgieri, Andrés Páez, Wojciech Samek, Johannes Schneider, Timo Speith, Simone Stumpf
Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions. CoRR (2023)
Sanjay Kumar, Abhishek Mallik, Akshi Kumar, Javier Del Ser, Guang Yang
Fuzz-ClustNet: Coupled fuzzy clustering and deep neural networks for Arrhythmia detection from ECG signals. Comput. Biol. Medicine 153 (2023)
Khan Muhammad, Javier Del Ser, Naércio Magaia, Ramon Fonseca, Tanveer Hussain, Amir H. Gandomi, Mahmoud Daneshmand, Victor Hugo C. de Albuquerque
Communication Technologies for Edge Learning and Inference: A Novel Framework, Open Issues, and Perspectives. IEEE Netw. 37 (2) (2023)
Alain Andres, Daochen Zha, Javier Del Ser
Enhanced Generalization Through Prioritization and Diversity in Self-Imitation Reinforcement Learning Over Procedural Environments with Sparse Rewards. SSCI (2023)
Javier Poyatos, Daniel Molina, Aitor Martínez-Seras, Javier Del Ser, Francisco Herrera
Multiobjective Evolutionary Pruning of Deep Neural Networks with Transfer Learning for improving their Performance and Robustness. CoRR (2023)
Iñigo Delgado-Enales, Javier Del Ser, Patricia Molina-Costa
A framework to improve urban accessibility and environmental conditions in age-friendly cities using graph modeling and multi-objective optimization. Comput. Environ. Urban Syst. 102 (2023)
Xi Zhou, Qinghao Ye, Xiaolin Yang, Jiakun Chen, Haiqin Ma, Jun Xia, Javier Del Ser, Guang Yang
AI-based medical e-diagnosis for fast and automatic ventricular volume measurement in patients with normal pressure hydrocephalus. Neural Comput. Appl. 35 (22) (2023)
Javier Poyatos, Daniel Molina, Aritz D. Martinez, Javier Del Ser, Francisco Herrera
EvoPruneDeepTL: An evolutionary pruning model for transfer learning based deep neural networks. Neural Networks 158 (2023)
Jesús Para, Javier Del Ser, Antonio J. Nebro
Solving a Multi-objective Job Shop Scheduling Problem with an Automatically Configured Evolutionary Algorithm. OLA (2023)
Jesus L. Lobo, Ibai Laña, Eneko Osaba, Javier Del Ser
On the Connection between Concept Drift and Uncertainty in Industrial Artificial Intelligence. CoRR (2023)
Hao Li, Yang Nan, Javier Del Ser, Guang Yang
Region-based evidential deep learning to quantify uncertainty and improve robustness of brain tumor segmentation. Neural Comput. Appl. 35 (30) (2023)
Sajid Ali, Tamer Abuhmed, Shaker H. Ali El-Sappagh, Khan Muhammad, Jose Maria Alonso-Moral, Roberto Confalonieri, Riccardo Guidotti, Javier Del Ser, Natalia Díaz Rodríguez, Francisco Herrera
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence. Inf. Fusion 99 (2023)
Ibai Laña, Ignacio (Iñaki) Olabarrieta, Javier Del Ser
Efficient Platooning for Urban Last Mile Logistics Using Multi-Objective Optimization: Performance Comparison and Load Strategies. ITSC (2023)
Pathmanathan Pankayaraj, Natalia Díaz Rodríguez, Javier Del Ser
Using Curiosity for an Even Representation of Tasks in Continual Offline Reinforcement Learning. CoRR (2023)
Chengjin Yu, Shuang Li, Dhanjoo N. Ghista, Zhifan Gao, Heye Zhang, Javier Del Ser, Lin Xu
Multi-level multi-type self-generated knowledge fusion for cardiac ultrasound segmentation. Inf. Fusion 92 (2023)
Isaac Triguero, Daniel Molina, Javier Poyatos, Javier Del Ser, Francisco Herrera
General Purpose Artificial Intelligence Systems (GPAIS): Properties, Definition, Taxonomy, Open Challenges and Implications. CoRR (2023)
Marcos Barcina-Blanco, Jesus L. Lobo, Pablo García Bringas, Javier Del Ser
Managing the unknown: a survey on Open Set Recognition and tangential areas. CoRR (2023)
Branko Miloradovic, Eneko Osaba, Javier Del Ser, Vuk Vujovic, Alessandro V. Papadopoulos
On the Design and Performance of a Novel Metaheuristic Solver for the Extended Colored Traveling Salesman Problem. ITSC (2023)
Biao Zhao, Weiqiang Jin, Javier Del Ser, Guang Yang
ChatAgri: Exploring potentials of ChatGPT on cross-linguistic agricultural text classification. Neurocomputing 557 (2023)
Muhammad Tanveer, M. A. Ganaie, Iman Beheshti, Tripti Goel, Nehal Ahmad, Kuan-Ting Lai, Kaizhu Huang, Yu-Dong Zhang, Javier Del Ser, Chin-Teng Lin
Deep learning for brain age estimation: A systematic review. Inf. Fusion 96 (2023)
Eric L. Manibardo, Ibai Laña, Javier Del Ser
Multi-step Ahead Visual Trajectory Prediction for Object Tracking using Echo State Networks. ITSC (2023)
Eric L. Manibardo, Ibai Laña, Esther Villar-Rodriguez, Javier Del Ser
A Graph-Based Methodology for the Sensorless Estimation of Road Traffic Profiles. IEEE Trans. Intell. Transp. Syst. 24 (8) (2023)
Aitor Martínez-Seras, Javier Del Ser, Jesus L. Lobo, Pablo García Bringas, Nikola K. Kasabov
A novel Out-of-Distribution detection approach for Spiking Neural Networks: Design, fusion, performance evaluation and explainability. Inf. Fusion 100 (2023)
Natalia Díaz Rodríguez, Javier Del Ser, Mark Coeckelbergh, Marcos López de Prado, Enrique Herrera-Viedma, Francisco Herrera
Connecting the Dots in Trustworthy Artificial Intelligence: From AI Principles, Ethics, and Key Requirements to Responsible AI Systems and Regulation. CoRR (2023)
Eric L. Manibardo, Ibai Laña, Javier Del Ser, Alexander Carballo, Kazuya Takeda
Expert-driven Rule-based Refinement of Semantic Segmentation Maps for Autonomous Vehicles. IV (2023)
Dusan Fister, Jorge Pérez-Aracil, César Peláez-Rodríguez, Javier Del Ser, Sancho Salcedo-Sanz
Accurate long-term air temperature prediction with Machine Learning models and data reduction techniques. Appl. Soft Comput. 136 (2023)
Aitor Martínez-Seras, Javier Del Ser, Pablo García Bringas
Efficient Object Detection in Autonomous Driving using Spiking Neural Networks: Performance, Energy Consumption Analysis, and Insights into Open-set Object Discovery. CoRR (2023)
Kai Zhang, Feng Zhang, Wenbo Wan, Hui Yu, Jiande Sun, Javier Del Ser, Eyad Elyan, Amir Hussain
Panchromatic and multispectral image fusion for remote sensing and earth observation: Concepts, taxonomy, literature review, evaluation methodologies and challenges ahead. Inf. Fusion 93 (2023)
Javier Torregrosa, Gema Bello Orgaz, Eugenio Martínez-Cámara, Javier Del Ser, David Camacho
A survey on extremism analysis using natural language processing: definitions, literature review, trends and challenges. J. Ambient Intell. Humaniz. Comput. 14 (8) (2023)
Natalia Díaz Rodríguez, Javier Del Ser, Mark Coeckelbergh, Marcos López de Prado, Enrique Herrera-Viedma, Francisco Herrera
Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation. Inf. Fusion 99 (2023)
Javier Poyatos, Daniel Molina, Aitor Martínez-Seras, Javier Del Ser, Francisco Herrera
Multiobjective evolutionary pruning of Deep Neural Networks with Transfer Learning for improving their performance and robustness. Appl. Soft Comput. 147 (2023)
Aitor Martínez-Seras, Javier Del Ser, Pablo García Bringas
Efficient Object Detection in Autonomous Driving using Spiking Neural Networks: Performance, Energy Consumption Analysis, and Insights into Open-set Object Discovery. ITSC (2023)
Iñigo Delgado-Enales, Patricia Molina-Costa, Javier Del Ser
Spatial Estimation of Ground-Level Temperature for Climate-Sensitive Urban Mobility using Image-to-Image Deep Neural Networks. ITSC (2023)
Leandro A. Passos, João Paulo Papa, Javier Del Ser, Amir Hussain, Ahsan Adeel
Multimodal audio-visual information fusion using canonical-correlated Graph Neural Network for energy-efficient speech enhancement. Inf. Fusion 90 (2023)
Kit Yan Chan, Bilal Abu-Salih, Raneem Qaddoura, Ala' M. Al-Zoubi, Vasile Palade, Duc-Son Pham, Javier Del Ser, Khan Muhammad
Deep neural networks in the cloud: Review, applications, challenges and research directions. Neurocomputing 545 (2023)
Biao Zhao, Weiqiang Jin, Javier Del Ser, Guang Yang
ChatAgri: Exploring Potentials of ChatGPT on Cross-linguistic Agricultural Text Classification. CoRR (2023)
Ming Li, Yingying Fang, Zeyu Tang, Chibudom Onuorah, Jun Xia, Javier Del Ser, Simon Walsh, Guang Yang
Explainable COVID-19 Infections Identification and Delineation Using Calibrated Pseudo Labels. IEEE Trans. Emerg. Top. Comput. Intell. 7 (1) (2023)
M. Tanveer, Aryan Rastogi, Vardhan Paliwal, M. A. Ganaie, Ashwani Kumar Malik, Javier Del Ser, Chin-Teng Lin
Ensemble deep learning in speech signal tasks: A review. Neurocomputing 550 (2023)
Helena Liz, Javier Huertas-Tato, Manuel A. Sánchez-Montañés, Javier Del Ser, David Camacho
Deep learning for understanding multilabel imbalanced Chest X-ray datasets. Future Gener. Comput. Syst. 144 (2023)
Javier Del Ser, David Casillas-Perez, Laura Cornejo-Bueno, Luis Prieto-Godino, Julia Sanz-Justo, Carlos Casanova-Mateo, Sancho Salcedo-Sanz
Randomization-based machine learning in renewable energy prediction problems: Critical literature review, new results and perspectives. Appl. Soft Comput. 118 (2022)
Dusan Fister, Jorge Pérez-Aracil, César Peláez-Rodríguez, Javier Del Ser, Sancho Salcedo-Sanz
Accurate Long-term Air Temperature Prediction with a Fusion of Artificial Intelligence and Data Reduction Techniques. CoRR (2022)
Eneko Osaba, Javier Del Ser, Aritz D. Martinez, Jesus L. Lobo
A Multifactorial Cellular Genetic Algorithm for Multimodal Multitask Optimization. CEC (2022)
Jiahao Huang, Yingying Fang, Yinzhe Wu, Huanjun Wu, Zhifan Gao, Yang Li, Javier Del Ser, Jun Xia, Guang Yang
Swin Transformer for Fast MRI. CoRR (2022)
Brij B. Gupta, Dharma P. Agrawal, Muhammad Sajjad, Michael Sheng, Javier Del Ser
Guest Editorial Artificial Intelligence and Deep Learning for Intelligent and Sustainable Traffic and Vehicle Management (VANETs). IEEE Trans. Intell. Transp. Syst. 23 (10) (2022)
Alain Andres, Esther Villar-Rodriguez, Javier Del Ser
Collaborative Training of Heterogeneous Reinforcement Learning Agents in Environments with Sparse Rewards: What and When to Share? CoRR (2022)
M. Tanveer, M. A. Ganaie, Iman Beheshti, Tripti Goel, Nehal Ahmad, Kuan-Ting Lai, Kaizhu Huang, Yu-Dong Zhang, Javier Del Ser, Chin-Teng Lin
Deep Learning for Brain Age Estimation: A Systematic Review. CoRR (2022)
Hao Li, Yang Nan, Javier Del Ser, Guang Yang
Large-Kernel Attention for 3D Medical Image Segmentation. CoRR (2022)
Alejandro Barredo Arrieta, Sergio Gil-Lopez, Ibai Laña, Miren Nekane Bilbao, Javier Del Ser
On the post-hoc explainability of deep echo state networks for time series forecasting, image and video classification. Neural Comput. Appl. 34 (13) (2022)
Alaiñe Iturria, Jokin Labaien, Santi Charramendieta, Aizea Lojo, Javier Del Ser, Francisco Herrera
A framework for adapting online prediction algorithms to outlier detection over time series. Knowl. Based Syst. 256 (2022)
Xiaodan Xing, Javier Del Ser, Yinzhe Wu, Yang Li, Jun Xia, Lei Xu, David N. Firmin, Peter Gatehouse, Guang Yang
HDL: Hybrid Deep Learning for the Synthesis of Myocardial Velocity Maps in Digital Twins for Cardiac Analysis. CoRR (2022)
Yang Nan, Javier Del Ser, Simon Walsh, Carola Schönlieb, Michael Roberts, Ian Selby, Kit Howard, John Owen, Jon Neville, Julien Guiot, Benoit Ernst, Ana Pastor, Angel Alberich-Bayarri, Marion I. Menzel, Sean Walsh, Wim Vos, Nina Flerin, Jean-Paul Charbonnier, Eva M. van Rikxoort, Avishek Chatterjee, Henry C. Woodruff, Philippe Lambin, Leonor Cerdá Alberich, Luis Martí-Bonmatí, Francisco Herrera, Guang Yang
Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions. Inf. Fusion 82 (2022)
Eneko Osaba, Javier Del Ser, Ponnuthurai N. Suganthan
Evolutionary Multitask Optimization: Fundamental research questions, practices, and directions for the future. Swarm Evol. Comput. 75 (2022)
Adrien Bennetot, Gianni Franchi, Javier Del Ser, Raja Chatila, Natalia Díaz Rodríguez
Greybox XAI: a Neural-Symbolic learning framework to produce interpretable predictions for image classification. CoRR (2022)
Eric L. Manibardo, Ibai Laña, Javier Del Ser
What to Sense When There is no Sensor: Ex-novo Traffic Flow Estimation for Non-Sensed Roads. ITSC (2022)
Xi Zhou, Qinghao Ye, Xiaolin Yang, Jiakuan Chen, Haiqin Ma, Jun Xia, Javier Del Ser, Guang Yang
AI-based Medical e-Diagnosis for Fast and Automatic Ventricular Volume Measurement in the Patients with Normal Pressure Hydrocephalus. CoRR (2022)
Eric L. Manibardo, Ibai Laña, Javier Del Ser
Deep Learning for Road Traffic Forecasting: Does it Make a Difference? IEEE Trans. Intell. Transp. Syst. 23 (7) (2022)
Shuai Wang, Xinyu Liu, Shuai Liu, Khan Muhammad, Ali Asghar Heidari, Javier Del Ser, Victor Hugo C. de Albuquerque
Human Short Long-Term Cognitive Memory Mechanism for Visual Monitoring in IoT-Assisted Smart Cities. IEEE Internet Things J. 9 (10) (2022)
Eneko Osaba, Javier Del Ser, Carlos Cotta, Pablo Moscato
Editorial: Memetic Computing: Accelerating optimization heuristics with problem-dependent local search methods. Swarm Evol. Comput. 70 (2022)
Javier Del Ser, Alejandro Barredo Arrieta, Natalia Díaz Rodríguez, Francisco Herrera, Andreas Holzinger
Exploring the Trade-off between Plausibility, Change Intensity and Adversarial Power in Counterfactual Explanations using Multi-objective Optimization. CoRR (2022)
Eneko Osaba, Javier Del Ser, Aritz D. Martinez, Amir Hussain
Evolutionary Multitask Optimization: a Methodological Overview, Challenges, and Future Research Directions. Cogn. Comput. 14 (3) (2022)
Chulin Wu, Heye Zhang, Jiaqi Chen, Zhifan Gao, Pengfei Zhang, Khan Muhammad, Javier Del Ser
Vessel-GAN: Angiographic reconstructions from myocardial CT perfusion with explainable generative adversarial networks. Future Gener. Comput. Syst. 130 (2022)
Hao Li, Yang Nan, Javier Del Ser, Guang Yang
Region-Based Evidential Deep Learning to Quantify Uncertainty and Improve Robustness of Brain Tumor Segmentation. CoRR (2022)
Ibai Laña, Ignacio (Iñaki) Olabarrieta, Javier Del Ser
Measuring the Confidence of Traffic Forecasting Models: Techniques, Experimental Comparison and Guidelines towards Their Actionability. CoRR (2022)

Javier Del Ser.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Javier Del Ser