Javier Del Ser
Artificial Intelligence · Information Fusion · 2013–2023
A researcher in the Science corpus: 11 papers; trusts 133 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 766 citations into it
- Safety, Robustness & Interpretability — 295 citations into it
- Computer Vision and Pattern Recognition — 221 citations into it
- Computational Theory and Mathematics — 134 citations into it
- Health Informatics — 55 citations into it
- Model Architectures — 32 citations into it
- Media Technology — 10 citations into it
- Civil and Structural Engineering — 8 citations into it
Whom Javier Del Ser trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Kalyanmoy Deb
- Ponnuthurai Nagaratnam Suganthan
- Alex Krizhevsky
- Yoshua Bengio
- Richard S. Sutton
- Yann LeCun
- Diederik P. Kingma
- Ilya Sutskever
- Xin-She Yang
Who trusts Javier Del Ser overall
Papers from Javier Del Ser's perspective
Ordered by how strongly the researchers Javier Del Ser trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI (2019) — 9,028 citations
- A survey on applications of the harmony search algorithm (2013) — 364 citations
- Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions (2023) — 550 citations
- Connecting the Dots in Trustworthy Artificial Intelligence: From AI Principles, Ethics, and Key Requirements to Responsible AI Systems and Regulation (2023) — 592 citations
- Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence (2023) — 1,437 citations
- A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems (2021) — 357 citations
- Deep Learning for Safe Autonomous Driving: Current Challenges and Future Directions (2020) — 595 citations
- Deep Learning for Multigrade Brain Tumor Classification in Smart Healthcare Systems: A Prospective Survey (2020) — 325 citations
- A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and opportunities (2020) — 485 citations
- Bio-inspired computation: Where we stand and what's next (2019) — 551 citations
- Data fusion and machine learning for industrial prognosis: Trends and perspectives towards Industry 4.0 (2019) — 565 citations