Research

Research activities at @brain are carried out in strict cooperation with the research group of Prof. S. Ferilli at the Computer Science Department, University of Bari. In particular, the collaboration aims at technology transfer and at the engineering of research results, most of which have been exploited in @brain products.

Scientific Publications:

  • S. Ferilli & D. Redavid, A Process Mining Approach to the Identification of Normal and Suspect Traffic Behavior. In F. Leuzzi, S. Ferilli (Eds.) Traffic Mining Applied to Police Activities – Atti del Italian Workshop on Traffic Police (TRAP-2017), Advances in Intelligent Systems and Computing 728, 37-56, Springer, 2018.
  • S. Ferilli, F. Esposito, D. Redavid & S. Angelastro, Language Identification as Process Prediction using WoMan. In C. Grana, L. Baraldi (Eds.), Digital Libraries and Archives – IRCDL 2017, Revised Selected Papers, Communications in Computer and Information Science 733, 159-172, Springer, 2017.
  • S. Ferilli, D. Redavid & S. Angelastro, Activity Prediction in Process Management Using the WoMan Framework. In P. Perner (Eds.), Advances in Data Mining. Applications and Theoretical Aspects. Lecture Notes in Artificial Intelligence 10357, 194-208, Springer, 2017.
  • S. Ferilli, F. Esposito & D. Redavid, A study on the Classification of Layout Components for Newspapers. In Agosti M., Bertini M., Ferilli S., Marinai S., Orio N. (Eds.), Digital Libraries and Multimedia Archives – IRCDL 2016, Revised Selected Papers, Communications in Computer and Information Science 701, 166-178, Springer, 2017.
  • S. Ferilli, B. De Carolis, D. Redavid & F. Esposito, Towards Sentiment and Emotion Analysis of User Feedback for Digital Libraries. In Agosti M., Bertini M., Ferilli S., Marinai S., Orio N. (Eds.), Digital Libraries and Multimedia Archives – IRCDL 2016, Revised Selected Papers, Communications in Computer and Information Science 701, 137-149, Springer, 2017.
  • S. Ferilli, A.M. Ferilli, F. Esposito, D. Redavid & S. Angelastro, An Expert System Approach to Eating Disorder Diagnosis. In M. Kryszkiewicz, A. Appice, D. Slezak, H. Rybinski, A. Skowron, Z.W. Rás (Eds.), Foundations of Intelligent Systems. Lecture Notes in Artificial Intelligence 10352, 37-46, Springer, 2017.
  • S. Ferilli, F. Esposito, D. Redavid & S. Angelastro, Extended Process Models for Activity Prediction. In M. Kryszkiewicz, A. Appice, D. Slezak, H. Rybinski, A. Skowron, Z.W. Rás (Eds.), Foundations of Intelligent Systems. Lecture Notes in Artificial Intelligence 10352, 368-377, Springer, 2017.
  • S. Ferilli, F. Esposito, D. Redavid & S. Angelastro, Predicting Process Behavior in WoMan. In G. Adorni, S. Cagnoni, M. Gori, M. Maratea (Eds.), Advances in Artificial Intelligence: Proceedings of the 15th International Conference of the Italian Association for Artificial Intelligence, Lecture Notes in Artificial Intelligence 10037,  308-320, Springer, 2016.
  • S. Ferilli, D. Redavid & F. Esposito. Unsupervised Author Identification and Characterization. In D. Calvanese, D. De Nart, C. Tasso (Eds.), Digital Libraries on the Move, Communications in Computer and Information Science 612, 129-141, Springer, 2016.
  • S. Ferilli, B. De Carolis & D. Redavid, An Intelligent Agent Architecture for Smart Environments. In F. Esposito, O. Pivert, M.-S. Hacid, Z.W. Rás, S. Ferilli (Eds.), Foundations of Intelligent Systems. Lecture Notes in Artificial Intelligence 9384, 324-330, Springer, 2015.
  • S. Ferilli, D. Redavid & F. Esposito, Logic-based Incremental Process Mining. In A. Bifet, M. May, B. Zadrozny, R. Gavalda, D. Pedreschi, F. Bonchi, J. Cardoso, M. Spiliopoulou (Eds.), Machine Learning and Knowledge Discovery in Databases (ECML/PKDD) – Nectar Track, Lecture Notes in Artificial Intelligence 9286 – Part III, 218-221, Springer, 2015.
  • N. Barbuti, S. Ferilli, D. Redavid & T. Caldarola, An Integrated Management System for Multimedia Digital Library. In M. Agosti, T. Catarci, F. Esposito (Eds.), Revised Selected Paper, Procedia Computer Science, 128-132, Elsevier, 2014.
  • A. Pugliese, S. Pomes, S. Ferilli & D. Redavid, A novel model-based dewarping technique for advanced Digital Library systems. In M. Agosti, T. Catarci, F. Esposito (Eds.), Revised Selected Paper, Procedia Computer Science, 108-115, Elsevier, 2014.
  • Nicola Barbuti, Stefano Ferilli, D. Redavid & Tommaso Caldarola, An Integrated Management System for Multimedia Digital Library. Proceeding of 10th Italian Research Conference on Digital Libraries and Archives IRCDL 2014, 128-132.
  • A. Pugliese, S. Pomes, S. Ferilli & D. Redavid, A novel model-based dewarping technique for advanced Digital Library systems. Proceeding of 10th Italian Research Conference on Digital Libraries and Archives IRCDL 2014, 108-115.
  • S. Ferilli, F. Esposito & D. Redavid, Hi-Fi HTML rendering of multi-format documents in DoMinUS. ACM Symposium on Document Engineering 2013: 173-176
  • D. Redavid, I. Villani & S. Ferilli. DOMINUS(plus) – An Intelligent Framework for Document Management. In A. Del Bimbo, S. Marinai (Eds.), Symposium proceedings of the Gruppo Italiano di Ricerca in Pattern Recognition (GIRPR-2012), Certosa di Pontignano (Siena), Italy, 21-23 Maggio 2012.
  • H. H. Wang, N. Gibbins, T. R. Payne & D. Redavid. A formal model of the semantic web service ontology (WSMO). Information Systems 37(1): 33-60 (2012)
  • D. Redavid, S. Ferilli & F. Esposito. SWRL Rules Plan Encoding with OWL-S Composite Services. 19th International Symposium on Methodologies for Intelligent Systems, ISMIS 2011. Springer-Verlag, Series: Lecture Notes In Artificial Intelligence 2011, 476-482
  • S. Ferilli, F. Esposito, T.M.A. Basile, D. Redavid & I. Villani. DOMINUS plus – DOcument Management INtelligent Universal System (plus). 7th Italian Research Conference on Digital Libraries and Archives IRCDL 2011, Springer, Series:Communications in Computer and Information Science, 123-126