Frisoni, Giacomo; Moro, Gianluca; Carlassare, Giulio; Carbonaro, Antonella, Unsupervised Event Graph Representation and Similarity Learning on Biomedical Literature, «SENSORS», 2022, 22, pp. 3 - 36 [articolo]Open Access
Frisoni, Giacomo; Moro, Gianluca; Carbonaro, Antonella, A Survey on Event Extraction for Natural Language Understanding: Riding the Biomedical Literature Wave, «IEEE ACCESS», 2021, 9, pp. 160721 - 160757 [articolo]Open Access
Moro G.; Valgimigli L., Efficient self-supervised metric information retrieval: A bibliography based method applied to covid literature, «SENSORS», 2021, 21, Article number: 6430, pp. 1 - 20 [articolo]Open Access
Moro G.; Masseroli M., Gene function finding through cross-organism ensemble learning, «BIODATA MINING», 2021, 14, Article number: 14, pp. 1 - 21 [articolo]Open Access
Giacomo Frisoni; Gianluca Moro, Phenomena Explanation from Text: Unsupervised Learning of Interpretable and Statistically Significant Knowledge, in: Communications in Computer and Information Science, Springer Science and Business Media Deutschland GmbH, «COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE», 2021, 1446, pp. 293 - 318 (atti di: 9th International Conference on Data Management Technologies and Applications, DATA 2020 (Revised Selected Papers), Virtual Event, 2020) [Contributo in Atti di convegno]
Giacomo Frisoni, Gianluca Moro, Antonella Carbonaro, Towards Rare Disease Knowledge Graph Learning from Social Posts of Patients, in: Visvizi, Anna, Lytras, Miltiadis D., Radi Aljohani, Naif, Research and Innovation Forum 2020, Springer International Publishing, «SPRINGER PROCEEDINGS IN COMPLEXITY», 2021, pp. 121 - 132 (atti di: Research and Innovation Forum 2020, Greece, May, 2020) [Contributo in Atti di convegno]
Frisoni G.; Moro G.; Carbonaro A., Learning interpretable and statistically significant knowledge from unlabeled corpora of social text messages: A novel methodology of descriptive text mining, in: Proceedings of the 9th International Conference on Data Science, Technology and Applications - DATA, SciTePress, 2020, pp. 121 - 132 (atti di: 9th International Conference on Data Science, Technology and Applications, DATA 2020, Online Streaming, Jul 7, 2020 - Jul 9, 2020) [Contributo in Atti di convegno]Open Access
Giacomo Frisoni, Gianluca Moro, Antonella Carbonaro, Unsupervised Descriptive Text Mining for Knowledge Graph Learning, in: Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2020), 2020, 1, pp. 316 - 324 (atti di: 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - IC3K 2020, Budapest, Hungary, Nov 2, 2020 - Nov 4, 2020) [Contributo in Atti di convegno]Open Access
Gianluca Moro, Roberto Pasolini, Giacomo Domeniconi, Vittorio Ghini, Deep Neural Trading: Comparative Study With Feed Forward, Recurrent and Autoencoder Networks, in: Data Management Technologies and Applications. DATA 2018. Communications in Computer and Information Science, Springer, «COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE», 2019, 862, pp. 189 - 209 (atti di: International Conference on Data Science, Technologies and Applications, Porto, Portugal, 26-28 July) [Contributo in Atti di convegno]
Moro G.; Pasolini R.; Dardari D., LOS/NLOS Wireless Channel Identification based on Data Mining of UWB Signals, in: DATA 2019 - Proceedings of the 8th International Conference on Data Science, Technology and Applications, SciTePress, 2019, pp. 416 - 425 (atti di: 8th International Conference on Data Science, Technology and Applications, DATA 2019, Prague; Czech Republic;, 26 July 2019) [Contributo in Atti di convegno]
Andrea Pagliarani, Gianluca Moro, Roberto Pasolini, Giacomo Domeniconi, Transfer learning in sentiment classification with deep neural networks, in: Knowledge Discovery, Knowledge Engineering and Knowledge Management. 9th International Joint Conference, IC3K 2017, Funchal, Madeira, Portugal, November 1-3, 2017, Revised Selected Papers, Springer Nature Switzerland AG, «COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE», 2019, 976, pp. 1 - 23 (atti di: International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, Madeira, 1-3 November 2017) [Contributo in Atti di convegno]Open Access
Gianluca Moro,
Andrea Pagliarani,
Roberto Pasolini,
Claudio Sartori, Cross-domain & In-domain Sentiment Analysis with Memory-based
Deep Neural Networks, in: Proceedings of the 10th International Joint Conference on KnowledgeDiscovery, Knowledge Engineering and Knowledge Management, IC3K2018, Volume 1: KDIR, Seville, Spain, September 18-20, 2018., SciTePress, 2018, pp. 125 - 136 (atti di: 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, {IC3K} 2018, Seville, Spain, September 18-20, 2018) [Contributo in Atti di convegno]Open Access
Moro, Gianluca; Fabbri, Mirco, Dow Jones Trading with Deep Learning: The Unreasonable Effectiveness of Recurrent Neural Networks, in: Proceedings of the 7th International Conference on Data Science, Technology and Applications - Volume 1: DATA, Setúbal, SciTePress, 2018, pp. 142 - 153 (atti di: International Conference on Data Science, Technology and Applications (DATA), Porto, Portugal, July 26-28, 2018) [Contributo in Atti di convegno]Open Access
Cesare Bandirali ; Stefano Lodi ; Gianluca Moro ; Andrea Pagliarani ; Claudio Sartori, Parallel Primitives for Vendor-Agnostic Implementation of Big Data Mining Algorithms, in: Proceedings 32nd IEEE International Conference on Advanced Information Networking and Applications Workshops IEEE WAINA 2018, Los Alamitos, CA, IEEE Computer Society, 2018, pp. 396 - 401 (atti di: 32nd IEEE International Conference on Advanced Information Networking and Applications Workshops IEEE WAINA 2018, Krakow, Poland, 16–18 May 2018) [Contributo in Atti di convegno]
Domeniconi G.; Semertzidis K.; Moro G.; Lopez V.; Kotoulas S.; Daly E.M., Identifying conversational message threads by integrating classification and data clustering, in: Data Management Technologies and Applications. DATA 2016. Communications in Computer and Information Science, Cham, Springer International Publishing, 2017, pp. 25 - 46 (COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE) [capitolo di libro]Open Access
