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Romina Fuca
University of Verona, Italy
Verona, Italy

Romina Fucà received her BA in political science from the University of Palermo, and her PhD in systems theory from the University of Macerata. For the past two decades she has researched postwar totalitarianism. Her work presents insights into probability and conditionalities in subjective preferences, with philosophical approaches to decision-making in human affairs when it is strongly vulnerable to, and at the same time boosted by, uncertainties.

Romina is a passionate reader. A few years ago, she came across the writings of mathematician and social scientist R. Duncan Luce. Since then, she has continuously moved from one computer science subject to the next. She is currently interested in the application of axiomatic probability in the social sciences to better understand human thought.

Romina has authored many papers in sociology as well as a book on the Schengen Area and security systems. She is a PhD tutor for distance learning at the University of Verona’s School of Economics and Management; a member of the Reviewer Board for MDPI’s Sustainability journal; and serves on Frontiers in Law’s editorial board. She has been a reviewer for Computing Reviews since early 2022.


Embodied human–computer interaction in vocal music performance
Baumann F., Springer International Publishing, Cham, Switzerland, 2023. 81 pp.  Type: Book (9783031179846)

Baumann provides an analytical framework for the various aspects that generate meaningful connections in interface performances. The book’s four chapters are devoted to the author’s practical experience with how music is localized and ...


A theoretical perspective on hyperdimensional computing
Thomas A., Dasgupta S., Rosing T. Journal of Artificial Intelligence Research 72(1): 215-249, 2022.  Type: Article

Thomas, Dasgupta, and Rosing offer a tricky essay on hyperdimensional (HD) computing, a representational-transformational-retrieval computing paradigm that is brain-inspired, starting from signal levels as electrodes. All the content is highly tec...


Artificial intelligence, machine learning, and optimization tools for smart cities: designing for sustainability
Pardalos P., Th. Rassia S., Tsokas A., Springer International Publishing, Cham, Switzerland, 2022. 243 pp.  Type: Book (978-3-030844-58-5)

The book’s 11 chapters deal with digital “vitalism” in cities, unbuildable cities, smart cities and identities, services and data representation of information and communication technology (ICT), strategies for passers-by, electr...


 Biases in AI systems
Srinivasan R., Chander A. Communications of the ACM 64(8): 44-49, 2021.  Type: Article

As Srinivasan and Chander discuss, software packages and algorithms encounter many biases related to images on the web. This is then an article on computer application control, not human user control. Machine learning (ML) and artificial intellige...


Exploration in recommender systems
Chen M.  RecSys 2021 Amsterdam, the Netherlands, Sep 27-Oct 1, 2021) 551-553, 2021.  Type: Proceedings

Classic arbitration between exploration and exploitation could overestimate the optimal recommendation based on “learning by experience” [1] and relying on the measurement of user exploration through four essential parameters: accuracy...


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