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The core of my research work is the application of (stochastic) signal processing, machine learning and non-linear optimization, mostly duality theory and dynamic programming, to the fields of intelligent networks, artificial intelligence, and network science. Nowadays, I have a growing interest in understating the relationship between data science and graph theory. Development of signal processing and machine learning algorithms tailored to graphs and networks will have a great impact into the emerging fields of intelligent and dynamic networks, social networks, and big data.
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Sergio Rozada,Antonio G. Marques
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)pp.1-5, (2024)
CoRR (2024): 1558-1566
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IEEE TRANSACTIONS ON SIGNAL PROCESSINGno. 99 (2024): 1634-1649
Sergio Rozada,Antonio G. Marques
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)pp.5975-5979, (2024)
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