Michele Filannino

According to our database, Michele Filannino authored at least 24 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

GitHub Copilot: a systematic study.

Alessandro Benetti, Michele Filannino

Proceedings of the Ital-IA Intelligenza Artificiale, 2024

2023

Blaze-IT: A Lightweight BERT Model for the Italian Language.

Francesco Russo, Michele Filannino

Proceedings of the 9th Italian Conference on Computational Linguistics, Venice, Italy, November 30, 2023

2021

Towards Productizing AI/ML Models: An Industry Perspective from Data Scientists.

Filippo Lanubile, Fabio Calefato, Luigi Quaranta, Maddalena Amoruso, Fabio Fumarola, Michele Filannino

Proceedings of the 1st IEEE/ACM Workshop on AI Engineering - Software Engineering for AI, 2021

2020

2018 n2c2 shared task on adverse drug events and medication extraction in electronic health records.

Sam Henry, Kevin Buchan, Michele Filannino, Amber Stubbs, Özlem Uzuner

J. Am. Medical Informatics Assoc., 2020

2019

Cohort selection for clinical trials: n2c2 2018 shared task track 1.

Amber Stubbs, Michele Filannino, Ergin Soysal, Samuel Henry, Özlem Uzuner

J. Am. Medical Informatics Assoc., 2019

An Exploratory Study on Pseudo-Data Generation in Prescription and Adverse Drug Reaction Extraction.

Carson Tao, Kahyun Lee, Michele Filannino, Özlem Uzuner

Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

An Empirical Test of GRUs and Deep Contextualized Word Representations on De-Identification.

Kahyun Lee, Michele Filannino, Özlem Uzuner

Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

2018

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].

Michele Filannino, Amber Stubbs, Özlem Uzuner

J. Biomed. Informatics, 2018

Extracting ADRs from Drug Labels using Bi-LSTM and CRFs.

Carson Tao, Michele Filannino, Özlem Uzuner

Proceedings of the AMIA 2018, 2018

FABLE: A Semi-Supervised Prescription Information Extraction System.

Carson Tao, Michele Filannino, Özlem Uzuner

Proceedings of the AMIA 2018, 2018

Precision Medicine: matching cancer patients with relevant treatments.

Kahyun Lee, Michele Filannino, Di Jin, Kevin Buchan, William Boag, Özlem Uzuner

Proceedings of the AMIA 2018, 2018

Precision Medicine: matching cancer patients with clinical trials.

Michele Filannino, Kahyun Lee, Di Jin, Kevin Buchan, William Boag, Özlem Uzuner

Proceedings of the AMIA 2018, 2018

2017

Prescription extraction using CRFs and word embeddings.

Carson Tao, Michele Filannino, Özlem Uzuner

J. Biomed. Informatics, 2017

Automatic prediction of coronary artery disease from clinical narratives.

Kevin Buchan, Michele Filannino, Özlem Uzuner

J. Biomed. Informatics, 2017

A Hybrid Approach to Precision Medicine-related Biomedical Article Retrieval and Clinical Trial Matching.

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

Proceedings of The Twenty-Sixth Text REtrieval Conference, 2017

Extracting and Normalizing Adverse Drug Reactions from Drug Labels.

Carson Tao, Kahyun Lee, Michele Filannino, Kevin Buchan, Kathy Lee, Tilak Raj Arora, Joey Liu, Oladimeji Farri, Özlem Uzuner

Proceedings of the 2017 Text Analysis Conference, 2017

2016

Data-driven temporal information extraction with applications in general and clinical domains.

Michele Filannino

PhD thesis, 2016

2015

Temporal expression extraction with extensive feature type selection and a posteriori label adjustment.

Michele Filannino, Goran Nenadic

Data Knowl. Eng., 2015

2014

Using Machine Learning to Predict Temporal Orientation of Search Engines' Queries in the Temporalia Challenge.

Michele Filannino, Goran Nenadic

Proceedings of the 11th NTCIR Conference on Evaluation of Information Access Technologies, 2014

2013

Combining rules and machine learning for extraction of temporal expressions and events from clinical narratives.

Aleksandar Kovacevic, Azad Dehghan, Michele Filannino, John A. Keane, Goran Nenadic

J. Am. Medical Informatics Assoc., 2013

ManTIME: Temporal expression identification and normalization in the TempEval-3 challenge.

Michele Filannino, Gavin Brown, Goran Nenadic

Proceedings of the 7th International Workshop on Semantic Evaluation, 2013

2012

Temporal expression normalisation in natural language texts

Michele Filannino

CoRR, 2012

2011

DBWorld e-mails.

Michele Filannino

Dataset, November, 2011

2008

Introducing Serendipity in a Content-Based Recommender System.

Leo Iaquinta, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro, Michele Filannino, Piero Molino

Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008