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.
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.
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).
© Copyright 2019 IIM-RG - All rights reserved.