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ORCIDMarco Pavan
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2010 – 2019
- 2017
[b1]Marco Pavan:
Effectiveness of Data Enrichment on Categorization: Two Case Studies on Short Texts and User Movements. University of Udine, Italy, 2017- [i1]Dario De Nart, Dante Degl'Innocenti, Marco Pavan:
Leveraging Conversation Structure on Social Media to Identify Potentially Influential Users. CoRR abs/1711.10768 (2017) - 2016
- [c8]Marco Pavan, Stefano Mizzaro, Matteo Bernardon, Ivan Scagnetto:
Exploiting News to Categorize Tweets: Quantifying the Impact of Different News Collections. NewsIR@ECIR 2016: 54-59 - 2015
- [c7]Stefano Mizzaro, Marco Pavan, Ivan Scagnetto:
Content-Based Similarity of Twitter Users. ECIR 2015: 507-512 - [c6]Marco Pavan, Ernesto William De Luca:
Semantic-based Expert Search in Textbook Research Archives. SDA@TPDL 2015: 18-29 - [c5]Marco Pavan, Thebin Lee, Ernesto William De Luca
:
Semantic enrichment for adaptive expert search. I-KNOW 2015: 36:1-36:4 - [c4]Marco Pavan, Stefano Mizzaro, Ivan Scagnetto, Andrea Beggiato:
Finding Important Locations: A Feature-Based Approach. MDM (1) 2015: 110-115 - 2014
- [c3]Marco Pavan, Stefano Mizzaro, Ivan Scagnetto:
Mining Movement Data to Extract Personal Points of Interest: A Feature Based Approach. DART@AI*IA (Revised and Invited Papers) 2014: 35-61 - [c2]Stefano Mizzaro, Marco Pavan, Ivan Scagnetto, Ivano Zanello:
A context-aware retrieval system for mobile applications. CaRR@ECIR 2014: 18-25 - [c1]Stefano Mizzaro, Marco Pavan, Ivan Scagnetto, Martino Valenti:
Short text categorization exploiting contextual enrichment and external knowledge. SoMeRA@SIGIR 2014: 57-62
Coauthor Index
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