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A Systematic Review of Graph-Theoretic Approaches to: Lightweight Block Cipher Design: Methods, Architectures, and Future Research Directions0citations
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Deep learning in cancer pathology: a new generation of clinical biomarkers2020 British Journal of Cancer article Computer Science AI in cancer detection Open access cited by 2 patents
Amelie Echle, Niklas Rindtorff, Titus Josef Brinker, Tom Luedde, Alexander T. Pearson, Jakob Nikolas Kather
697citations -
Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions2024 Information Fusion article Computer Science Explainable Artificial Intelligence (XAI) Open access
Luca Longo, Mario Brčić, Federico Cabitza, Jaesik Choi, Roberto Confalonieri, Javier Del Ser, +13 more
563citations -
First Experiences in Performance Benchmarking with the New SPEChpc 2021 Suites2022 IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid) conference-paper Computer Science Parallel Computing and Optimization Techniques
Holger Brunst, Sunita Chandrasekaran, Florina M. Ciorba, Nick Hagerty, Robert Henschel, Guido Juckeland, +4 more
19citations -
Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum2024 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Topic Modeling Open access
Shen Gao, Zhengliang Shi, Minghang Zhu, Xin Xin, Pengjie Ren, Zhumin Chen, +1 more
16citations -
Ligand Pose Predictions for Human G Protein-Coupled Receptors: Insights from the Amber-Based Hybrid Molecular Mechanics/Coarse-Grained Approach2020 Journal of Chemical Information and Modeling article Computer Science Computational Drug Discovery Methods
Ksenia Korshunova, Zeineb Si Chaib, Alejandro Giorgetti, Mercedes Alfonso‐Prieto, Paolo Carloni
16citations -
Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions2023 arXiv (Cornell University) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access
Luca Longo, Mario Brčić, Federico Cabitza, Jaesik Choi, Roberto Confalonieri, Javier Del Ser, +11 more
14citations