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Javier Del Ser

  1. Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI
    2019/10/22 by Alejandro Barredo Arrieta, Arrieta, Alejandro Barredo, Natalia Díaz-Rodríguez +21 · 200 citations
    Computer Science · Social Sciences · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
  2. Connecting the Dots in Trustworthy Artificial Intelligence: From AI Principles, Ethics, and Key Requirements to Responsible AI Systems and Regulation
    2023/05/02 by Natalia Díaz-Rodríguez, Díaz-Rodríguez, Natalia, Javier Del Ser +9 · 24 citations
    Computer Science · Social Sciences · #68T01 #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #Ethics and Social Impacts of AI #FOS: Computer and information sciences #I.2 #K.4 #K.5 #Machine Learning (cs.LG)
  3. Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey
    2021/04/02 by Thomas Rojat, Rojat, Thomas, Raphaël Puget +9 · 13 citations
    Computer Science · #Time Series Analysis and Forecasting #Explainable Artificial Intelligence (XAI) #Machine Learning in Healthcare
  4. Swin Transformer for Fast MRI
    2022/01/10 by Jiahao Huang, Huang, Jiahao, Yingying Fang +15 · 10 citations
    Computer Science · Neuroscience · #Advanced Neural Network Applications #Medical Image Segmentation Techniques #Brain Tumor Detection and Classification
  5. jMetalPy: a Python Framework for Multi-Objective Optimization with\n Metaheuristics
    2019/03/07 by Antonio Benítez‐Hidalgo, Benitez-Hidalgo, Antonio, Antonio J. Nebro +7 · 4 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Metaheuristic Optimization Algorithms Research #Neural and Evolutionary Computing (cs.NE)
  6. Non-Imaging Medical Data Synthesis for Trustworthy AI: A Comprehensive Survey
    2022/09/17 by Xiaodan Xing, Huanjun Wu, Xing, Xiaodan +13 · 4 citations
    Computer Science · Medicine · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare
  7. ChatAgri: Exploring Potentials of ChatGPT on Cross-linguistic Agricultural Text Classification
    2023/05/24 by Biao Zhao, Weiqiang Jin, Zhao, Biao +5 · 4 citations
    Business, Management and Accounting · Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #FinTech, Crowdfunding, Digital Finance #ICT in Developing Communities
  8. Region-Based Evidential Deep Learning to Quantify Uncertainty and Improve Robustness of Brain Tumor Segmentation
    2022/08/11 by Hao Li, Li, Hao, Nan, Yang +4 · 3 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Adversarial Robustness in Machine Learning #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering
  9. Fuzzy Attention Neural Network to Tackle Discontinuity in Airway Segmentation
    2022/09/05 by Nan Yang, Javier Del Ser, Nan, Yang +17 · 3 citations
    Medicine · #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Lung Cancer Diagnosis and Treatment #Machine Learning (cs.LG) #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
  10. Region-based evidential deep learning to quantify uncertainty and improve robustness of brain tumor segmentation
    2022/11/17 by Hao Li, Yang Nan, Javier Del Ser +1 · 3 citations
  11. From Data to Actions in Intelligent Transportation Systems: a\n Prescription of Functional Requirements for Model Actionability
    2020/02/06 by Ibai Laña, Javier Medina, Lana, Ibai +5 · 2 citations
    Computer Science · Decision Sciences · Engineering · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Data Quality and Management #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Traffic Prediction and Management Techniques
  12. Fuzzy Logic in Surveillance Big Video Data Analysis
    2021/05/21 by Khan Muhammad, Mohammad S. Obaidat, Tanveer Hussain +5 · 2 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Human Pose and Action Recognition #Video Surveillance and Tracking Methods
  13. Large-Kernel Attention for 3D Medical Image Segmentation
    2022/07/19 by Hao Li, Li, Hao, Javier Del Ser +4 · 2 citations
    Computer Science · Engineering · Medicine · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Medical Imaging and Analysis #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
  14. When AI Eats Itself: On the Caveats of AI Autophagy
    2024/05/15 by Xiaodan Xing, Xing, Xiaodan, Fadong Shi +20 · 1 voice · 2 citations
    Social Sciences · #Ethics and Social Impacts of AI #cs.AI #cs.LG
  15. Spiking Neural Networks and Online Learning: An Overview and\n Perspectives
    2019/07/23 by Jesús L. Lobo, Lobo, Jesus L., Javier Del Ser +5 · 1 citation
    Computer Science · Engineering · Neuroscience · #Advanced Memory and Neural Computing #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Reservoir Computing #Neural and Evolutionary Computing (cs.NE) #Neural dynamics and brain function
  16. Error Control and Loss Functions for the Deep Learning Inversion of Borehole Resistivity Measurements
    2020/05/07 by Mostafa Shahriari, Shahriari, M., David Pardo +13 · 1 citation
    Earth and Planetary Sciences · Engineering · #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Geophysical Methods and Applications #Geophysical and Geoelectrical Methods #Geophysics (physics.geo-ph) #Machine Learning (cs.LG) #Numerical Analysis (math.NA) #Seismic Imaging and Inversion Techniques
  17. Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical\n Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and\n Challenges
    2020/08/08 by Aritz D. Martinez, Javier Del Ser, Martinez, Aritz D. +13 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #Artificial Intelligence (cs.AI) #Cell Image Analysis Techniques #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning in Materials Science #Multiagent Systems (cs.MA) #Neural and Evolutionary Computing (cs.NE)
  18. Edge-Enhanced Dual Discriminator Generative Adversarial Network for Fast MRI with Parallel Imaging Using Multi-view Information
    2021/12/10 by Jiahao Huang, Huang, Jiahao, Weiping Ding +17 · 1 citation
    Medicine · #Advanced MRI Techniques and Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Medical Imaging Techniques and Applications #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
  19. Data Harmonisation for Information Fusion in Digital Healthcare: A State-of-the-Art Systematic Review, Meta-Analysis and Future Research Directions
    2022/01/17 by Nan, Yang, Javier Del Ser, Del Ser, Javier +48 · 1 citation
    Computer Science · Psychology · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning in Healthcare #Mental Health Research Topics
  20. Managing the unknown: a survey on Open Set Recognition and tangential areas
    2023/12/14 by Marcos Barcina-Blanco, Barcina-Blanco, Marcos, Jesús L. Lobo +5 · 1 citation
    Computer Science · #A.1 #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #I.5.0 #Machine Learning (cs.LG) #Machine Learning in Healthcare
  21. World Models in Artificial Intelligence: Sensing, Learning, and Reasoning Like a Child
    2025/03/19 by Javier Del Ser, Del Ser, Javier, Jesús L. Lobo +5 · 2 citations
    Computer Science · Engineering · #68T05 #AI-based Problem Solving and Planning #Artificial Intelligence (cs.AI) #Cognitive Science and Mapping #Computer Vision and Pattern Recognition (cs.CV) #Emerging Technologies (cs.ET) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics and Automated Systems
  22. A Contrastive Symmetric Forward-Forward Algorithm (SFFA) for Continual Learning Tasks
    2024/09/11 by Erik B. Terres-Escudero, Terres-Escudero, Erik B., Javier Del Ser +3 · 1 citation
    Computer Science · #Machine Learning and ELM
  23. Words as Beacons: Guiding RL Agents with High-Level Language Prompts
    2024/10/11 by Unai Ruiz-Gonzalez, Ruiz-Gonzalez, Unai, Alain Andres +5 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multi-Agent Systems and Negotiation #Natural Language Processing Techniques #Topic Modeling