Marco Pavan
Marco Pavan
PhD in Computer Science, University of Udine
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Citata da
Finding Important Locations: A Feature-based Approach
M Pavan, S Mizzaro, I Scagnetto, A Beggiato
Mobile Data Management (MDM), 2015 16th IEEE International Conference on 1 …, 2015
Content-based similarity of twitter users
S Mizzaro, M Pavan, I Scagnetto
Advances in Information Retrieval: 37th European Conference on IR Research …, 2015
Short text categorization exploiting contextual enrichment and external knowledge
S Mizzaro, M Pavan, I Scagnetto, M Valenti
Proceedings of the first international workshop on Social media retrieval …, 2014
Semantic-based Expert Search in Textbook Research Archives
M Pavan, EW De Luca
4th International Workshop on Semantic Digital Archives (SDA), 2015
Mining Movement Data to Extract Personal Points of Interest: A Feature Based Approach
M Pavan, S Mizzaro, I Scagnetto
Studies in Computational Intelligence. Springer., 2015
A context-aware retrieval system for mobile applications
S Mizzaro, M Pavan, I Scagnetto, I Zanello
Proceedings of the 4th Workshop on Context-Awareness in Retrieval and …, 2014
From Trajectory Modeling to Social Habits and Behaviors Analysis
D Gubiani, M Pavan
Studies in Systems, Decision and Control. Recent Trends in Social Systems …, 2015
Exploiting News to Categorize Tweets: Quantifying The Impact of Different News Collections
M Pavan, S Mizzaro, M Bernardon, I Scagnetto
Proceedings of the First International Workshop on Recent Trends in News …, 2016
Semantic Enrichment for Adaptive Expert Search
M Pavan, T Lee, EW De Luca
15th International conference of knowledge technologies and data-drive …, 2015
Leveraging Conversation Structure on Social Media to Identify Potentially Influential Users
D De Nart, D Degl'innocenti, M Pavan
arXiv preprint arXiv:1711.10768, 2017
Effectiveness of Data Enrichment on Categorization: Two Case Studies on Short Texts and User Movements
M Pavan
University of Udine, 2016
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