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Bio
Decebal short-term research interest is to conceive scalable deep artificial neural network models and their corresponding learning algorithms using principles from network science, evolutionary computing, optimization and neuroscience. Such models shall have sparse and evolutionary connectivity, make use of previous knowledge, and have strong generalization capabilities to be able to learn, and to reason, using few examples in a continuous and adaptive manner.
Most science carried out throughout human evolution uses the traditional reductionism paradigm, which even if it is very successful, still has some limitations. Aristotle wrote in Metaphysics “The whole is more than the sum of its parts”. Inspired by this quote, in long term, Decebal would like to follow the alternative complex systems paradigm and study the synergy between artificial intelligence, neuroscience, and network science for the benefits of science and society.
Most science carried out throughout human evolution uses the traditional reductionism paradigm, which even if it is very successful, still has some limitations. Aristotle wrote in Metaphysics “The whole is more than the sum of its parts”. Inspired by this quote, in long term, Decebal would like to follow the alternative complex systems paradigm and study the synergy between artificial intelligence, neuroscience, and network science for the benefits of science and society.
Research Interests
Papers共 93 篇Author StatisticsCo-AuthorSimilar Experts
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Qiao Xiao,Pingchuan Ma,Adriana Fernandez-Lopez, Boqian Wu, Lu Yin,Stavros Petridis, Mykola Pechenizkiy,Maja Pantic,Decebal Constantin Mocanu, Shiwei Liu
arxiv(2024)
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Calarina Muslimani,Bram Grooten, Deepak Ranganatha Sastry Mamillapalli,Mykola Pechenizkiy,Decebal Constantin Mocanu,Matthew E. Taylor
arxiv(2024)
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International Conference on Artificial Intelligence and Statisticspp.3952-3960, (2024)
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CoRR (2024)
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NEURAL COMPUTING & APPLICATIONSno. 23 (2023): 16841-16852
Boqian Wu,Qiao Xiao,Shiwei Liu,Lu Yin,Mykola Pechenizkiy,Decebal Constantin Mocanu, Maurice Van Keulen,Elena Mocanu
CoRR (2023)
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Trans Mach Learn Res (2023)
Bram Grooten, Tristan Tomilin,Gautham Vasan,Matthew E. Taylor, A. Rupam Mahmood,Meng Fang,Mykola Pechenizkiy,Decebal Constantin Mocanu
CoRR (2023): 733-742
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