The CIBB 2025 proceedings focus on topics such as computational intelligence, bioinformatics, biostatistics, and medical informatics.
[lecture notes in computer science] artificial intelligence and computational intelligence volume 7002 || models and algorithm of maximum flow problem in uncertain networkdoi:10.1007/978-3-642-23881-9_14Deng, HepuMiao, Du...
: Lecture Notes in Artificial Intelligence, vol. 890, Springer-Verlag, Berlin Heidelberg New York (1995b), 1–39 Google Scholar Yen, J., Yin, J., Ioerger, T.R., Miller, M., Xu, D., Volz, R.A.: CAST: collaborative agents for simulating teamwork, Proceedings of the Seventeenth ...
Computational Intelligence and Bioinformatics (Lecture Notes in Computer Science, Volume 4115/2006),Xinkai ChenG. Zhai
A GPU-based computational framework that bridges neuron simulation and artificial intelligence Article Open access 18 September 2023 NRN-EZ: an application to streamline biophysical modeling of synaptic integration using NEURON Article Open access 10 January 2023 Simulation and assimilation of the dig...
Deep-learning methods for computational pathology require either manual annotation of gigapixel whole-slide images (WSIs) or large datasets of WSIs with slide-level labels and typically suffer from poor domain adaptation and interpretability. Here we rep
Ghorbani, A. (2011). People’s Opinion, People’s Nexus, People’s Security and Computational Intelligence: The Evolution Continues. In: Zhong, N., Callaghan, V., Ghorbani, A.A., Hu, B. (eds) Active Media Technology. AMT 2011. Lecture Notes in Computer Science, vol 6890. Springer, ...
Includes a comprehensive Guest Editors' Preface introducing the papers, which is freely available on SpringerLink Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7870) Part of the book sub series: Transactions on Computational Science (TCOMPUTATSCIE) 9814 Accesses This...
Artificial intelligence (AI) researchers currently believe that the main approach to building more general model problems is the big AI model, where existing neural networks are becoming deeper, larger and wider. We term this the big model with external complexity approach. In this work we argue ...
et al. Artificial intelligence for digital and computational pathology. Nat. Rev. Bioeng. 1, 930–949 (2023). Article Google Scholar Bera, K., Schalper, K. A., Rimm, D. L., Velcheti, V. & Madabhushi, A. Artificial intelligence in digital pathology—new tools for diagnosis and ...