Selected publications by research area

E-Learning and Educational Data Mining

  • B. Prenkaj, P. Velardi, G. Stilo, D. Distante and S. Faralli (2020) "A Survey of Machine Learning approaches for Student Dropout Prediction in Online Courses" ACM Computing Surveys, vol. 53-3. https://doi.org/10.1145/3388792
  • D. Distante, M. Villa, N. Sansone and S. Faralli (2020) "MILA: A SCORM-Compliant Interactive Learning Analytics Tool for Moodle," IEEE 20th International Conference on Advanced Learning Technologies (ICALT), 2020, pp. 169-171, doi: 10.1109/ICALT49669.2020.00056.

Semantic technology

  • G. Bordea, S. Faralli, F. Mougin, P. Buitelaar, G. Diallo (2020) "Evaluation Dataset and Methodology for Extracting Application-Specific Taxonomies from the Wikipedia Knowledge Graph" LREC 2020: 2341-2347.
  • S. Faralli, P. Velardi and F. Yusufli (2020) "Multiple Knowledge GraphDB (MKGDB)" 12th International Conference on Language Resources and Evaluation (LREC 2020) Marseille 13-14-15 May 2020.
  • S. Faralli I. Finocchi S.P. Ponzetto and P. Velardi (2018) "CrumbTrail: an Efficient Methodology to Reduce Multiple Inheritance in Knowledge Graphs" Knowledge-Based Systems, Elsevier doi:10.1016/j.knosys.2018.03.030.
  • S. Faralli, I. Finocchi. S.P. Ponzetto and P. Velardi (2018) "Efficient Pruning of Large Knowledge Graphs" Proc. of 27th International Joint Conference on Artificial Intelligence IJCAI 2018, Stockholm, Sweden, July 13-19, .
  • S. Faralli, G. Stilo and P. Velardi 2017 "Automatic Acquisition of a Taxonomy of Microblogs Users’ Interests" Journal of Web Semantics, Elsevier, 10.1016/j.websem.2017.05.004.
  • G. Stilo and P. Velardi (2017) "Hashtag Sense Clustering based on Temporal Similarity" Computational Linguistics , 43-1 (March 2017) doi: 10.1162/COLI_a_00277.

E-Health and Network medicine

  • G. Grani, A. Lenzi, P. Velardi (2021) "Supporting Personalized Health Care with Social Media Analytics: an Application to Hypothyroidism" ACM Transactions on Computing for Healthcare, to appear
  • D. Aragona, L. Podo, B. Prenkaj, P. Velardi (2021) "CoRoNNa: A Deep Sequential Framework to Predict Epidemic Spread", SAC '21 Proceedings of the 36th Annual ACM Symposium on Applied Computing
  • L. Madeddu, G. Stilo and P. Velardi (2020) "A Feature-Learning based method for the disease-gene prediction problem" International Journal of Data Mining and Bioinformatics, in press, Interscience Publishers, 2020
  • L. Madeddu, G. Stilo and P. Velardi (2020) "Predicting Disease Genes for Complex Diseases using Random Watcher-Walker" in 35th ACM/SIGAPP Symposium On Applied Computing, Brno, Czech Republic March 30-April 3, 2020.
  • L. Madeddu, G. Stilo and P. Velardi (2019) "Predicting Disease Genes Using Connectivity and Functional Features" IEEE int. conf. on Bioinformatics and Biomedicine BIBM 2019, San Diego, CA, USA, November 2019.
  • A. Lenzi, M. Maranghi, G. Stilo and P. Velardi (2019) "The Social Phenotype: Extracting a Patient-centered Perspective of Diabetes from Health-related Blogs" Artificial Intelligence in Medicine , Elsevier, https://doi.org/10.1016/j.artmed.2019.101727.
  • M. Biggerstaff, D. Alper, M. Dredze, S. Fox, I. Chun-Hai Fung, K. S. Hickmann, B. Lewis, R. Rosenfeld, J. Shaman, Ming-Hsiang Tsou, P. Velardi, A. Vespignani, L. Finelli (2016) “Results from the centers for disease control and prevention’s predict the 2013–2014 Influenza Season Challenge” BMC Infectious Diseases 16:357, DOI 10.1186/s12879-016-1669-x.
  • F. Gesualdo, G. Stilo, A. D’Ambrosio, E. Carloni, E.Pandolfi, P. Velardi, A. Fiocchi, A. E. Tozzi (2015) Can Twitter be a source of information on allergy? Correlation of pollen counts with tweets reporting symptoms of allergic rhinoconjunctivitis and names of antihistamine drugs. PloS One Public Library of Science One PONE-D-14-46060R2.
  • F. Gesualdo, G. Stilo, E. Agricola, M.V. Gonfiantini, E. Pandolfi, P. Velardi and A. E. Tozzi (2013) "Influenza-like illness surveillance on Twitter through automated learning of naïve language" PloS One Public Library of Science One, Journal.

Social Media Analysis and Recommender Systems

  • F. Zarrinkalam, S. Faralli, G. Piao and E. Bagheri (2020), "Extracting, Mining and Predicting Users’ Interests from Social Media", Foundations and Trends® in Information Retrieval: Vol. 14: No. 5, pp 445-617. http://dx.doi.org/10.1561/1500000078
  • D. Distante, S. Faralli, S. Rittinghaus, P. Rosso and N. Samsami (2021) "DomainSenticNet: An Ontology and a Methodology Enabling Domain-Aware Sentic Computing" Cogn. Comput. https://doi.org/10.1007/s12559-021-09825-w
  • S. Faralli, S. Rittinghaus, N. Samsami, D. Distante, E. Rocha (2021) "Emotional Intensity-based Success Prediction Model for Crowdfunded Campaigns" Information Processing & Management, Volume 58, Issue 1, 102394, ISSN 0306-4573, https://doi.org/10.1016/j.ipm.2020.102394.
  • G. Di Tommaso, M. Gatti, M. Iannotta, A. Mehra, G. Stilo and P. Velardi (2020) “Gender, rank and social networks on an enterprise social media platform”, Social Networks, Elsevier, https://doi.org/10.1016/j.socnet.2020.02.007 Volume 62, July 2020, Pages 58-67.
  • A. Lenzi, M. Maranghi, G. Stilo and P. Velardi (2019) "The Social Phenotype: Extracting a Patient-centered Perspective of Diabetes from Health-related Blogs", Artificial Intelligence in Medicine , Elsevier, https://doi.org/10.1016/j.artmed.2019.101727
  • A. Cucchiarelli, C. Morbidoni, G. Stilo and P. Velardi (2018) "A Topic Recommender for Journalists" Information Systems Journal, Springer doi: 10.1007/s10791-018-9333-2.
  • A. Cucchiarelli, C. Morbidoni, G. Stilo and P. Velardi (2018) "What to Write and Why: a Recommender for News Media" 33rd ACM/SIGAPP SACS 2018 , PAU, France April 2018.
  • G. Di Tommaso, S. Faralli, G. Stilo and P. Velardi (2018) "Wiki-MID: a very large Multi-domain Interests Dataset of Twitter users with mappings to Wikipedia" Proc. of ISWC 2018 (International Semantic Web Conference), Monterey, USA, October 2018.
  • G. Di Tommaso, P. Velardi (2018) "A Large Multilingual and Multi-domain Dataset for Recommender Systems" 11th International Conference on Language Resources and Evaluation LREC 2018 (GSS rating: B) 7-12 May 2018, Miyazaki (Japan).
  • G. Di Tommaso, G. Stilo and P. Velardi (2017) "A Gendered Analysis of Leadership in Enterprise Social Networks" International AAAI Conference on Web and Social Media (ICWSM 2017).
  • G. Di Tommaso, G. Stilo and P. Velardi (2017) "Detecting Network Leaders in Enterprises" IEEE 21st Int. Conf. On Computer Supported Collaborative Work (IEEE CSCWD 2017) April 26-28 Wellington, New Zeland.
  • G. Di Tommaso, G. Stilo and P. Velardi (2015) "Women leadership in enterprise social networks: A SNA toolkit to foster the emergence of informal leaders in organizations" in International Conference on Information Society (i-Society 2015), sponsored by IEEE, London, UK November 2015.
  • S. Faralli, G. Stilo and P. Velardi (2015) "Recommendation of micro-blog users based on hierarchical interest profiles" Social Network Analysis and Mining (SNAM-D-14-00108R1), Springer DOI: 10.1007/s13278-015-0264-2.

Human-Computer Interaction and Web Engineering

  • E. Díaz, J. I. Panach, S. Rueda, D. Distante (2021) "A family of experiments to generate graphical user interfaces from BPMN models with stereotypes", Journal of Systems and Software, Volume 173, 110883, ISSN 0164-1212, https://doi.org/10.1016/j.jss.2020.110883.
  • S. Rueda, I. Panach, D. Distante (2020) "Requirements Elicitation Methods based on Interviews in Comparison: A Family of Experiments", Information and Software Technology, Volume 126. doi: 10.1016/j.infsof.2020.106361. Elsevier.
  • J.M. Rivero, J. Grigera, D. Distante, G. Rossi (2019) "DataMock: An Agile Approach for Building Data Models from User Interface Mockups". Software and Systems Modeling Volume 18, Issue 1, pp. 663-690. doi: 10.1007/s10270-017-0586-9. Springer-Verlag.
  • M.L. Bernardi, G. Canfora, G.A. Di Lucca, M. Di Penta, D. Distante (2018) "The Relation between Developers’ Communication and Fix-Inducing Changes: An Empirical Study". Journal of Systems and Software, Volume 140, pp. 111-125. doi: 10.1016/j.jss.2018.02.065. Elsevier.
  • J. Grigera, A. Garrido, J.I. Panach, D. Distante, G. Rossi (2016) "Assessing refactorings for usability in e-commerce applications" Empirical Software Engineering 21, pp. 1224–1271. doi: 10.1007/s10664-015-9384-6 . Springer Science.

Machine Learning and Data Mining

  • B. Prenkaj, P. Velardi, D. Distante and S. Faralli (2020) "A Reproducibility Study of Deep and Surface Machine Learning Methods for Human-related Trajectory Prediction", In Proceedings of the 29th ACM International Conference on Information & Knowledge Management (CIKM '20). Association for Computing Machinery, New York, NY, USA, 2169–2172. DOI:https://doi.org/10.1145/3340531.3412088
  • D. Distante, S. Faralli (2019) "A Two-Phase Bug Localization Approach Based on Multi-layer Perceptrons and Distributional Features" ICCSA (1) 2019: 518-532.
  • G. Stilo and P. Velardi (2016) "Efficient Temporal Mining of Micro-blog Texts and its application to Event Discovery", Data Mining and Knowledge Discovery (DAMI-D-14-00246R2) (on line doi: 10.1007/s10618-015-0412-3).

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