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ORCIDMichele Filannino
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2020 – today
- 2024
[c13]Alessandro Benetti, Michele Filannino:
GitHub Copilot: a systematic study. Ital-IA 2024: 6-11- 2023
- [c12]Francesco Russo, Michele Filannino:
Blaze-IT: A Lightweight BERT Model for the Italian Language. CLiC-it 2023 - 2021
- [c11]Filippo Lanubile, Fabio Calefato, Luigi Quaranta
, Maddalena Amoruso, Fabio Fumarola, Michele Filannino:
Towards Productizing AI/ML Models: An Industry Perspective from Data Scientists. WAIN@ICSE 2021: 129-132 - [i4]Filippo Lanubile, Fabio Calefato, Luigi Quaranta, Maddalena Amoruso, Fabio Fumarola, Michele Filannino:
Towards Productizing AI/ML Models: An Industry Perspective from Data Scientists. CoRR abs/2103.10548 (2021) - 2020
- [j7]Sam Henry, Kevin Buchan, Michele Filannino, Amber Stubbs, Özlem Uzuner:
2018 n2c2 shared task on adverse drug events and medication extraction in electronic health records. J. Am. Medical Informatics Assoc. 27(1): 3-12 (2020)
2010 – 2019
- 2019
- [j6]Amber Stubbs, Michele Filannino, Ergin Soysal, Samuel Henry, Özlem Uzuner:
Cohort selection for clinical trials: n2c2 2018 shared task track 1. J. Am. Medical Informatics Assoc. 26(11): 1163-1171 (2019) - [c10]Kahyun Lee, Michele Filannino, Özlem Uzuner:
An Empirical Test of GRUs and Deep Contextualized Word Representations on De-Identification. MedInfo 2019: 218-222 - [c9]Carson Tao, Kahyun Lee, Michele Filannino, Özlem Uzuner:
An Exploratory Study on Pseudo-Data Generation in Prescription and Adverse Drug Reaction Extraction. MedInfo 2019: 388-392 - 2018
- [j5]Michele Filannino, Amber Stubbs, Özlem Uzuner:
Corrigendum to "Symptom severity prediction from neuropsychiatric clinical records: Overview of 2016 CEGS N-GRID shared tasks Track 2" [J Biomed Inform. 2017 Nov;75S: S62-S70]. J. Biomed. Informatics 85: 204 (2018) - [c8]Michele Filannino, Kahyun Lee, Di Jin, Kevin Buchan, William Boag, Özlem Uzuner:
Precision Medicine: matching cancer patients with clinical trials. AMIA 2018 - [c7]Kahyun Lee, Michele Filannino, Di Jin, Kevin Buchan, William Boag, Özlem Uzuner:
Precision Medicine: matching cancer patients with relevant treatments. AMIA 2018 - [c6]Carson Tao, Michele Filannino, Özlem Uzuner:
FABLE: A Semi-Supervised Prescription Information Extraction System. AMIA 2018 - [c5]Carson Tao, Michele Filannino, Özlem Uzuner:
Extracting ADRs from Drug Labels using Bi-LSTM and CRFs. AMIA 2018 - 2017
- [j4]Kevin Buchan, Michele Filannino, Özlem Uzuner:
Automatic prediction of coronary artery disease from clinical narratives. J. Biomed. Informatics 72: 23-32 (2017) - [j3]Carson Tao, Michele Filannino, Özlem Uzuner:
Prescription extraction using CRFs and word embeddings. J. Biomed. Informatics 72: 60-66 (2017) - [c4]Yuan Ling, Sadid A. Hasan, Michele Filannino, Kevin P. Buchan, Kahyun Lee, Joey Liu, William Boag, Di Jin, Özlem Uzuner, Kathy Lee, Vivek V. Datla, Ashequl Qadir, Oladimeji Farri:
A Hybrid Approach to Precision Medicine-related Biomedical Article Retrieval and Clinical Trial Matching. TREC 2017 - [i3]Carson Tao, Kahyun Lee, Michele Filannino, Kevin Buchan, Kathy Lee, Tilak Raj Arora, Joey Liu, Oladimeji Farri, Özlem Uzuner:
Extracting and Normalizing Adverse Drug Reactions from Drug Labels. TAC 2017 - 2016
- [b1]Michele Filannino:
Data-driven temporal information extraction with applications in general and clinical domains. University of Manchester, UK, 2016 - 2015
- [j2]Michele Filannino, Goran Nenadic:
Temporal expression extraction with extensive feature type selection and a posteriori label adjustment. Data Knowl. Eng. 100: 19-33 (2015) - 2014
- [c3]Michele Filannino, Goran Nenadic:
Using Machine Learning to Predict Temporal Orientation of Search Engines' Queries in the Temporalia Challenge. NTCIR 2014 - 2013
- [j1]Aleksandar Kovacevic, Azad Dehghan, Michele Filannino, John A. Keane, Goran Nenadic:
Combining rules and machine learning for extraction of temporal expressions and events from clinical narratives. J. Am. Medical Informatics Assoc. 20(5): 859-866 (2013) - [c2]Michele Filannino, Gavin Brown, Goran Nenadic:
ManTIME: Temporal expression identification and normalization in the TempEval-3 challenge. SemEval@NAACL-HLT 2013: 53-57 - [i2]Michele Filannino, Gavin Brown, Goran Nenadic:
ManTIME: Temporal expression identification and normalization in the TempEval-3 challenge. CoRR abs/1304.7942 (2013) - 2012
- [i1]Michele Filannino:
Temporal expression normalisation in natural language texts. CoRR abs/1206.2010 (2012) - 2011
- [d1]Michele Filannino:
DBWorld e-mails. UCI Machine Learning Repository, 2011
2000 – 2009
- 2008
- [c1]Leo Iaquinta, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro, Michele Filannino, Piero Molino:
Introducing Serendipity in a Content-Based Recommender System. HIS 2008: 168-173
Coauthor Index
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