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Suspicious Network Event Recognition Leveraging on Machine Learning.

, , , and . IEEE BigData, page 5915-5920. IEEE, (2019)

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Drugs Don't Work in Patients Who Don't Take Them: Dr. Drin, The New ICT Paradigm For Chronic Therapies., , , , , , , , and . Annual Review of Cybertherapy and Telemedicine, volume 191 of Studies in Health Technology and Informatics, IOS Press, (2013)Suspicious Network Event Recognition Leveraging on Machine Learning., , , and . IEEE BigData, page 5915-5920. IEEE, (2019)Convolutional Neural Networks for Sentiment Analysis on Italian Tweets., , , and . CLiC-it/EVALITA, volume 1749 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)Using Embeddings for Both Entity Recognition and Linking in Tweet., , , and . CLiC-it/EVALITA, volume 1749 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)Linear Neural Parsing and Hybrid Enhancement for Enhanced Universal Dependencies., , and . IWPT 2020, page 206-214. Association for Computational Linguistics, (2020)UniPI at SemEval-2016 Task 4: Convolutional Neural Networks for Sentiment Classification., and . SemEval@NAACL-HLT, page 220-224. The Association for Computer Linguistics, (2016)UniPi: Recognition of Mentions of Disorders in Clinical Text., , and . SemEval@COLING, page 754-760. The Association for Computer Linguistics, (2014)Bidirectional LSTM Models for DGA Classification., and . SSCC, volume 969 of Communications in Computer and Information Science, page 687-694. Springer, (2018)Annotation and Extraction of Relations from Italian Medical Records., , and . IIR, volume 1404 of CEUR Workshop Proceedings, CEUR-WS.org, (2015)Implementing Web Classification for TLDs., , , , , and . WI-IAT (1), page 85-88. IEEE Computer Society, (2015)