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Vercellis Carlo

Full Professor

Vercellis Carlo

Full Professor

Carlo Vercellis is full professor of Machine Learning at Politecnico di Milano. He is founder and director the Observatory on Data & Decision Intelligence; co-director of the International Master and the Executive Program in Business Analytics and Data Science at GSOM-Politecnico di Milano; founder and director of Aiblooms, spin-off focused on Artificial Intelligence and Machine Learning applications.

He is author of more than 90 scientific writings, among which 6 books and more than 60 papers in high-rank international journals and books. He has been associate editor of several journals. He has coordinated several national and international research programs funded by EEC, CNR, MIUR and private companies. He co-organized several international conferences and has been invited to discuss his research work in leading research institutions. He developed projects with several companies on machine learning, predictive analytics, big data, sentiment analysis, marketing, risk analysis, supply chain optimization, quality control. Previously, after his graduation in Mathematics at Università degli Studi di Milano, he has been with National Research Council (CNR), Bocconi University and Università degli Studi di Milano.

Career

Master of Science: Mathematics, Università degli Studi di Milano.

Research

His research interests include machine learning, focusing on deep learning, support vector machines, nonlinear dimensionality reduction, sentiment analysis; application of predictive methods to marketing, social networks, internet of things, finance, biolife science; optimization models, with applications to supply chain and revenue management.

Selected Publications

Jalayer M.| Orsenigo C.| Vercellis C. (2021), "Fault detection and diagnosis for rotating machinery: A model based on convolutional LSTM, Fast Fourier and continuous wavelet transforms", Computers in Industry, 125

Araño K.A.| Gloor P.| Orsenigo C.| Vercellis C. (2021), "When Old Meets New: Emotion Recognition from Speech Signals", Cognitive Computation, 13, 771-783

Araño K.A.| Orsenigo C.| Soto M.| Vercellis C. (2021), "Multimodal sentiment and emotion recognition in hyperbolic space", Expert Systems with Applications, 184

Xing F.Z.; Cambria E.|;Malandri L.; Vercellis Carlo, "Discovering bayesian market views for intelligent asset allocation", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11053, 120-135

Malandri L.; Xing F.Z.; Orsenigo Carlotta.; Vercellis Carlo; Cambria E., "Public Mood–Driven Asset Allocation: the Importance of Financial Sentiment in Portfolio Management", Cognitive Computation, 10, 1167-1176

Grants, awards and Honours

Community service