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Emanuele Rabosio

Rabosio's Selected Publications

Selected Publications

Connected from the Outside: The Role of US Regions in Promoting the Integration of the European Research System.

E. Rabosio, L. Righetto, A. Spelta, F. Pammolli.

Quantitative Science Studies, MIT Press, 2020.

The Endless Frontier? The Recent Increase of R&D Productivity in Pharmaceuticals.

F. Pammolli, L. Righetto, S. Abrignani, L. Pani, P. Pelicci, E. Rabosio.

Journal of Translational Medicine, Springer, Vol. 18, no. 162, 2020.

Efficiently Using Contextual Influence to Recommend new Items to Ephemeral Groups.

E. Quintarelli, E. Rabosio, L. Tanca.

Information Systems, Elsevier, Vol. 84, pp. 197–213, 2019.

A Principled Approach to Context Schema Evolution in a Data Management Perspective.

E. Quintarelli, E. Rabosio, L. Tanca.

Information Systems, Elsevier, Vol. 49, pp. 65–101, 2015.

A Data-Mining Approach to Preference-Based Data Ranking Founded on Contextual Information.

A. Miele, E. Quintarelli, E. Rabosio, L. Tanca.

Information Systems, Elsevier, Vol. 38, no. 4, pp. 524–544, 2012.

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Emanuele Rabosio

CADS Researcher

Emanuele Rabosio was born in Milan in 1985. He studied Computer Engineering at Politecnico di Milano, obtaining his bachelor and master degrees, both cum laude, in July 2007 and October 2009. In the same university, in March 2013 he received the Ph.D. in Information Technology discussing a thesis in the field of databases. During his Ph.D., he spent four months as a visiting scholar at the University of Antwerp (Belgium). From 2013 to 2017 he was a postdoctoral researcher at the Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB) of Politecnico di Milano. His research at DEIB focused on the study of approaches to deal with information overload, which is the problem arising when users are not able to properly manage their data due to the excessive size. In this scope, he proposed data personalization techniques relying on the concept of context, which is the situation that a user is living while accessing data. At Politecnico di Milano he was also a teaching assistant for university courses about foundations of computer science, foundations of databases, data warehouses and data integration. Since January 2018 he has been working as a researcher at the Center for Analysis, Decision and Society (CADS) of the Human Technopole. At CADS, he participated in research projects regarding the analysis of patent and drug development data, dealing mainly with the issues related to the preparation, integration, and management of the data necessary for the analyses. Currently, he is conducting research about innovative data integration techniques.

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