S. Bringay

发表

Finding Relevant Sequences With The Least Temporal Contradiction Measure: Application to Hydrological Data

Hugo Alatrista Salas, J. Azé, F. Cernesson, 2012, International Conference Geographic Information Science.

Patient's rationale: Patient Knowledge retrieval from health forums

J. Azé, F. Galtier, S. Bringay, 2014, eTELEMED 2014.

Analysis by Multiclass Multilabel Classification of the 2015 #SmearForSmear Campaign Using Deep Learning

J. Azé, Y. Mercadier, S. Bringay, 2019, Social Web and Health Research.

Raising Awareness About Cervical Cancer Using Twitter: Content Analysis of the 2015 #SmearForSmear Campaign

J. Azé, S. Bringay, François Carbonnel, 2017, Journal of Medical Internet Research.

Mining local climate data to assess spatiotemporal dengue fever epidemic patterns in French Guiana.

J. Desenclos, P. Quénel, S. Bringay, 2014, Journal of the American Medical Informatics Association : JAMIA.

Suicidal Ideation Tracking on Social Media 3 3 A Context-Aware Framework to Track Suicidal Ideation on Social Media

J. Azé, S. Bringay, Bilel Moulahi, 2017 .

Hospital burden of coronary artery disease: Trends of myocardial infarction and/or percutaneous coronary interventions in France 2009–2014

J. Azé, P. Landais, G. Cayla, 2019, PloS one.

A quality-aware spatial data warehouse for querying hydroecological data

Maguelonne Teisseire, Florence Le Ber, Dino Ienco, 2015, Comput. Geosci..

2014 IEEE Conference on Visual Analytics Science and Technology, VAST 2014, Paris, France, October 25-31, 2014

Maguelonne Teisseire, Hujun Bao, Fei Wang, 2014, IEEE Conference on Visual Analytics Science and Technology.

SciTweets - A Dataset and Annotation Framework for Detecting Scientific Online Discourse

S. Dietze, Konstantin Todorov, S. Bringay, 2022, ArXiv.

IJCAI’2005 Workshop on Knowledge Management and Organizational Memories

J. Charlet, R. Dieng-Kuntz, S. Bringay, 2005 .

EBBE-Text: Explaining Neural Networks by Exploring Text Classification Decision Boundaries

Maximilien Servajean, A. Sallaberry, J. Azé, 2022, IEEE Transactions on Visualization and Computer Graphics.

SciTweets - A Dataset and Annotation Framework for Detecting Scientific Online Discourse

S. Dietze, Konstantin Todorov, S. Bringay, 2022, CIKM.

FEEL: a French Expanded Emotion Lexicon

J. Azé, S. Bringay, P. Poncelet, 2016, Language Resources and Evaluation.

Language Modeling in Temporal Mood Variation Models for Early Risk Detection on the Internet

Maximilien Servajean, Sandra Bringay, Waleed Ragheb, 2019, Conference and Labs of the Evaluation Forum.

Negatively Correlated Noisy Learners for At-Risk User Detection on Social Networks: A Study on Depression, Anorexia, Self-Harm, and Suicide

Maximilien Servajean, Sandra Bringay, Jérôme Azé, 2023, IEEE Transactions on Knowledge and Data Engineering.

Explain Sentiments using Conditional Random Field and a Huge Lexical Network

Sandra Bringay, Pierre Pompidor, Mike Donald Tapi-Nzali, 2015, SIMBig.

[Surveillance and detection of unusual events in toxicovigilance: Review of relevant methods].

L Faisandier, A Fouillet, D J Bicout, 2015, Revue d'epidemiologie et de sante publique.

Anne Laurent, Maguelonne Teisseire, Sandra Bringay, 2008, AusDM.

Hospital healthcare flows: A longitudinal clustering approach of acute coronary syndrome in women over 45 years

J. Azé, P. Landais, C. Genolini, 2021, Health informatics journal.

Mining microarray data to predict the histological grade of a breast cancer

Maguelonne Teisseire, Pascal Poncelet, Sandra Bringay, 2011, J. Biomed. Informatics.

Detection of suicide-related posts in Twitter data streams

Sandra Bringay, Jérôme Azé, Bilel Moulahi, 2018, IBM J. Res. Dev..

Anomaly detection in monitoring sensor data for preventive maintenance

Pascal Poncelet, Sandra Bringay, Julien Rabatel, 2011, Expert Syst. Appl..

Prediction of In-Hospital Mortality from Administrative Data: A Sequential Pattern Mining Approach

Paul Landais, Pascal Poncelet, Sandra Bringay, 2021, MIE.

Attention-based Modeling for Emotion Detection and Classification in Textual Conversations pdf

Maximilien Servajean, Sandra Bringay, Jérôme Azé, 2019, ArXiv.

Identifying the Targets of the Emotions Expressed in Health Forums

Pascal Poncelet, Sandra Bringay, Eric Kergosien, 2014, CICLing.

Mining social networks to improve suicide prevention: A scoping review

Sandra Bringay, Jérôme Azé, Bilel Moulahi, 2019, Journal of Neuroscience Research.

Complementary and Alternative Medicine in Patients With Breast Cancer: Exploratory Study of Social Network Forum Data

G. Ninot, Estelle Guerdoux-Ninot, S. Bringay, 2019, JMIR cancer.

HydroQual: Visual analysis of river water quality

Maguelonne Teisseire, Florence Le Ber, Flavie Cernesson, 2014, 2014 IEEE Conference on Visual Analytics Science and Technology (VAST).

A knowledge discovery process for spatiotemporal data: Application to river water quality monitoring

Maguelonne Teisseire, Hugo Alatrista Salas, Flavie Cernesson, 2015, Ecol. Informatics.

Non-Pharmacological Interventions in Patients with Breast Cancer: An Exploratory Study of Social Network Forums Data. (Preprint)

G. Ninot, Estelle Guerdoux-Ninot, S. Bringay, 2018 .

French FastContext: A publicly accessible system for detecting negation, temporality and experiencer in French clinical notes

Clement Jonquet, Sandra Bringay, Amine Abdaoui, 2021, J. Biomed. Informatics.

Breast Cancer and Quality of Life: Medical Information Extraction from Health Forums

Sandra Bringay, Jérôme Azé, Thomas Opitz, 2014, MIE.

Sequential Pattern Mining to Predict Medical In-Hospital Mortality from Administrative Data: Application to Acute Coronary Syndrome

J. Azé, P. Landais, S. Bringay, 2021, Journal of healthcare engineering.

Sequential patterns mining and gene sequence visualization to discover novelty from microarray data

Maguelonne Teisseire, Arnaud Sallaberry, Mathieu Roche, 2011, J. Biomed. Informatics.

Informal notes to support the asynchronous collaborative activities

Jean Charlet, Sandra Bringay, Françoise Anceaux, 2007, Int. J. Medical Informatics.

Towards an On-Line Analysis of Tweets Processing

Maguelonne Teisseire, Pascal Poncelet, Mathieu Roche, 2011, DEXA.

LIRMM-Advanse at SemEval-2019 Task 3: Attentive Conversation Modeling for Emotion Detection and Classification

Maximilien Servajean, Sandra Bringay, Jérôme Azé, 2019, *SEMEVAL.

Patient healthcare trajectory. An essential monitoring tool: a systematic review

Paul Landais, Sandra Bringay, Jérôme Azé, 2017, Health Information Science and Systems.

Patient healthcare trajectory. An essential monitoring tool: a systematic review

J. Azé, P. Landais, S. Bringay, 2017, Health Information Science and Systems.

Concept drift vs suicide: How one can help prevent the other?

Sandra Bringay, Jérôme Azé, J. Azé, 2017 .

What Patients Can Tell Us: Topic Analysis for Social Media on Breast Cancer

Sandra Bringay, Thomas Opitz, Christian Lavergne, 2017, JMIR medical informatics.

SO_MAD: SensOr Mining for Anomaly Detection in Railway Data

Pascal Poncelet, Sandra Bringay, Julien Rabatel, 2009, ICDM.

FEEL: a French Expanded Emotion Lexicon

Pascal Poncelet, Sandra Bringay, Jérôme Azé, 2016, Language Resources and Evaluation.

Complementary and Alternative Medicine in Patients With Breast Cancer: Exploratory Study of Social Network Forum Data (Preprint)

G. Ninot, Estelle Guerdoux-Ninot, S. Bringay, 2018 .

Fuzzy anomaly detection in monitoring sensor data

Pascal Poncelet, Sandra Bringay, Julien Rabatel, 2010, International Conference on Fuzzy Systems.

Temporal Mood Variation: at the CLEF eRisk-2018 Tasks for Early Risk Detection on The Internet

Maximilien Servajean, Sandra Bringay, Jérôme Azé, 2018, CLEF.

ADVANSE: Sentiment, Opinion and Emotion Analysis in French Tweets

Pascal Poncelet, Sandra Bringay, Jérôme Azé, 2015 .

Attentive Multi-stage Learning for Early Risk Detection of Signs of Anorexia and Self-harm on Social Media

Maximilien Servajean, Sandra Bringay, Jérôme Azé, 2019, CLEF.

Discovering Novelty in Sequential Patterns: application for analysis of microarray data on Alzheimer disease

Maguelonne Teisseire, Pascal Poncelet, Mathieu Roche, 2010, MedInfo.

GeneMining: Identification, Visualization, and Interpretation of Brain Ageing Signatures

Maguelonne Teisseire, Mathieu Roche, Sandra Bringay, 2009, MIE.

Learning to Classify Medical Discharge Summaries According to ICD-9

Maximilien Servajean, J. Azé, S. Bringay, 2023, MIE.

What Patients Can Tell Us: Topic Analysis for Social Media on Breast Cancer

C. Lavergne, T. Opitz, S. Bringay, 2017, JMIR medical informatics.

A text and GNN based controversy detection method on social media

Maximilien Servajean, J. Azé, S. Bringay, 2022, World Wide Web.

Reconciliation of patient/doctor vocabulary in a structured resource

Sandra Bringay, Jérôme Azé, Mike Donald Tapi-Nzali, 2019, Health Informatics J..

MuEVo, a Breast Cancer Consumer Health Vocabulary Built Out of Web Forums

Clement Jonquet, Sandra Bringay, Mike Donald Tapi-Nzali, 2016, SWAT4LS.

Explaining controversy through community analysis on Twitter

Maximilien Servajean, J. Azé, S. Bringay, 2023, IDEAS.

How to Extract Relevant Knowledge from Tweets?

Stan Matwin, Maguelonne Teisseire, Dino Ienco, 2012, ISIP.

Including Spatial Relations and Scales within Sequential Pattern Extraction

Maguelonne Teisseire, Florence Le Ber, Agnès Braud, 2012, Discovery Science.

Predicting Medical Roles in Online Health Fora

Natalia Grabar, Pascal Poncelet, Sandra Bringay, 2014, SLSP.

DARE to Care: A Context-Aware Framework to Track Suicidal Ideation on Social Media

Sandra Bringay, Jérôme Azé, Bilel Moulahi, 2017, WISE.

Mining Discriminant Sequential Patterns for Aging Brain

Maguelonne Teisseire, Sandra Bringay, Paola Salle, 2009, AIME.

Expertise in French health forums

Natalia Grabar, Pascal Poncelet, Sandra Bringay, 2016, Health Informatics J..

Collaborative Content-Based Method for Estimating User Reputation in Online Forums

Pascal Poncelet, Sandra Bringay, Jérôme Azé, 2015, WISE.

Raising Awareness About Cervical Cancer Using Twitter: Content Analysis of the 2015 #SmearForSmear Campaign

J. Azé, S. Bringay, François Carbonnel, 2017, Journal of medical Internet research.

Controversy Detection: A Text and Graph Neural Network Based Approach pdf

Maximilien Servajean, Sandra Bringay, Caroline Mollevi, 2021, WISE.

Mining closed partially ordered patterns, a new optimized algorithm

Maguelonne Teisseire, Florence Le Ber, Agnès Braud, 2015, Knowl. Based Syst..

Patient Electronic Health Record as Temporal Graphs for Health Monitoring

Hugo Le Baher, J. Azé, S. Bringay, 2023, Medical Informatics Europe.

The Epidemiologic Surveillance of Dengue-Fever in French Guiana: When Achievements Trigger Higher Goals

Maguelonne Teisseire, Sandra Bringay, Claude Flamand, 2011, MIE.

Discovering NDM-1 inhibitors using molecular substructure embeddings representations

J. Azé, S. Bringay, P. Poncelet, 2023, J. Integr. Bioinform..