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2020 – today
- 2023
[j6]Fabio Azzalini, Davide Piantella
, Emanuele Rabosio, Letizia Tanca:
Enhancing domain-aware multi-truth data fusion using copy-based source authority and value similarity. VLDB J. 32(3): 475-500 (2023)- 2022
- [c10]Davide Azzalini, Elisa Quintarelli, Emanuele Rabosio, Letizia Tanca:
FARGO: A Fair, Context-AwaRe, Group RecOmmender System. BIAS 2022: 143-154 - [c9]Davide Azzalini, Elisa Quintarelli, Emanuele Rabosio, Letizia Tanca:
Accounting for Bossy Users in Context-Aware Group Recommendations. SEBD 2022: 570-577 - 2021
- [c8]Patrizia Agnello, Silvia Maria Ansaldi, Fabio Azzalini, Giovanni Gangemi, Davide Piantella, Emanuele Rabosio, Letizia Tanca:
Extraction of Medical Concepts from Italian Natural Language Descriptions (Discussion Paper). SEBD 2021: 275-282 - 2020
- [j5]Emanuele Rabosio, Lorenzo Righetto, Alessandro Spelta, Fabio Pammolli:
Connected from the outside: The role of U.S. regions in promoting the integration of the European research system. Quant. Sci. Stud. 1(2): 894-917 (2020)
2010 – 2019
- 2019
- [j4]Elisa Quintarelli, Emanuele Rabosio, Letizia Tanca:
Efficiently using contextual influence to recommend new items to ephemeral groups. Inf. Syst. 84: 197-213 (2019) - [j3]Lorenzo Righetto, Alessandro Spelta, Emanuele Rabosio, Fabio Pammolli:
Long-term correlations in short, non-stationary time series: An application to international R&D collaborations. J. Informetrics 13(2): 583-592 (2019) - 2016
- [c7]Paolo Garza, Elisa Quintarelli, Emanuele Rabosio, Letizia Tanca:
Reducing Big Data by Means of Context-Aware Tailoring. ADBIS (Short Papers and Workshops) 2016: 115-127 - [c6]Elisa Quintarelli, Emanuele Rabosio, Letizia Tanca:
Recommending New Items to Ephemeral Groups Using Contextual User Influence. RecSys 2016: 285-292 - 2015
- [j2]Elisa Quintarelli, Emanuele Rabosio, Letizia Tanca:
A principled approach to context schema evolution in a data management perspective. Inf. Syst. 49: 65-101 (2015) - [c5]Paolo Cremonesi, Primo Modica, Roberto Pagano, Emanuele Rabosio, Letizia Tanca:
Personalized and Context-Aware TV Program Recommendations Based on Implicit Feedback. EC-Web 2015: 57-68 - [p1]Francesco Colace, Vincenzo Moscato, Elisa Quintarelli, Emanuele Rabosio, Letizia Tanca:
Context Awareness in Pervasive Information Management. Data Management in Pervasive Systems 2015: 235-256 - 2014
- [c4]Antonio Miele, Elisa Quintarelli, Emanuele Rabosio, Letizia Tanca:
ADaPT: Automatic Data Personalization based on contextual preferences. ICDE 2014: 1234-1237 - 2013
- [b1]Emanuele Rabosio:
Context aware data personalization : issues and solutions. Polytechnic University of Milan, Italy, 2013 - [j1]Antonio Miele, Elisa Quintarelli, Emanuele Rabosio, Letizia Tanca:
A data-mining approach to preference-based data ranking founded on contextual information. Inf. Syst. 38(4): 524-544 (2013) - [c3]Elisa Quintarelli, Emanuele Rabosio:
Discovering Contextual Association Rules in Relational Databases. ADBIS (2) 2013: 193-202 - 2011
- [c2]Davide Beretta, Elisa Quintarelli, Emanuele Rabosio:
Mining Context-Aware Preferences on Relational and Sensor Data. DEXA Workshops 2011: 116-120 - [c1]Elisa Quintarelli, Emanuele Rabosio, Letizia Tanca:
Context Schema Evolution in Context-Aware Data Management. ER 2011: 290-303
Coauthor Index
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