Michele Filannino

Orcid: 0000-0001-8208-2238

According to our database1, Michele Filannino authored at least 23 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Blaze-IT: A Lightweight BERT Model for the Italian Language.
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.
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.
J. Am. Medical Informatics Assoc., 2020

2019
Cohort selection for clinical trials: n2c2 2018 shared task track 1.
J. Am. Medical Informatics Assoc., 2019

An Exploratory Study on Pseudo-Data Generation in Prescription and Adverse Drug Reaction Extraction.
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.
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].
J. Biomed. Informatics, 2018

Extracting ADRs from Drug Labels using Bi-LSTM and CRFs.
Proceedings of the AMIA 2018, 2018

FABLE: A Semi-Supervised Prescription Information Extraction System.
Proceedings of the AMIA 2018, 2018

Precision Medicine: matching cancer patients with relevant treatments.
Proceedings of the AMIA 2018, 2018

Precision Medicine: matching cancer patients with clinical trials.
Proceedings of the AMIA 2018, 2018

2017
Prescription extraction using CRFs and word embeddings.
J. Biomed. Informatics, 2017

Automatic prediction of coronary artery disease from clinical narratives.
J. Biomed. Informatics, 2017

A Hybrid Approach to Precision Medicine-related Biomedical Article Retrieval and Clinical Trial Matching.
Proceedings of The Twenty-Sixth Text REtrieval Conference, 2017

Extracting and Normalizing Adverse Drug Reactions from Drug Labels.
Proceedings of the 2017 Text Analysis Conference, 2017

2016
Data-driven temporal information extraction with applications in general and clinical domains.
PhD thesis, 2016

2015
Temporal expression extraction with extensive feature type selection and a posteriori label adjustment.
Data Knowl. Eng., 2015

2014
Using Machine Learning to Predict Temporal Orientation of Search Engines' Queries in the Temporalia Challenge.
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.
J. Am. Medical Informatics Assoc., 2013

ManTIME: Temporal expression identification and normalization in the TempEval-3 challenge.
Proceedings of the 7th International Workshop on Semantic Evaluation, 2013

2012
Temporal expression normalisation in natural language texts
CoRR, 2012

2011
DBWorld e-mails.
Dataset, November, 2011

2008
Introducing Serendipity in a Content-Based Recommender System.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008


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