COPE: Childhood Obesity Prevention [Knowledge] Enterprise. - Arash Shaban-Nejad; David L. Buckeridge; Laurette Dubé (AIME, 2011)

A knowledge-based architecture for integrating and interpreting population health data. - Arash Shaban-Nejad; Yu Ma; Masoumeh T. Izadi; Laurette Dubé; Luke Mondor; David L. Buckeridge (DG.O, 2012)

A model of food reward learning with dynamic reward exposure. - Ross A. Hammond; Joseph T. Ornstein; Lesley K. Fellows; Laurette Dubé; Robert Levitan; Alain Dagher (Frontiers Comput. Neurosci., 2012)

An infrastructure for real-time population health assessment and monitoring. - David L. Buckeridge; Masoumeh T. Izadi; Arash Shaban-Nejad; Luke Mondor; Christian Jauvin; Laurette Dubé; Yeona Jang; Robyn Tamblyn (IBM J. Res. Dev., 2012)

An OWL 2-Based Knowledge Platform Combining the Social and Semantic Webs for an Ambient Childhood Obesity Prevention System. - Jinan El-Hachem; Arash Shaban-Nejad; Volker Haarslev; Laurette Dubé; David L. Buckeridge (ANT/MobiWIS, 2012)

Feedback Dynamic between Emotional Reinforcement and Healthy Eating: An Application of the Reciprocal Markov Model. - Edward Hak-Sing Ip; Qiang Zhang; Ji Lu; Patricia L. Mabry; Laurette Dubé (SBP, 2013)

The Evolution of an ICT Platform-Enabled Ecosystem for Poverty Alleviation: The Case of eKutir. - Srivardhini K. Jha; Alain Pinsonneault; Laurette Dubé (MIS Q., 2016)

An Innovative Approach to Addressing Childhood Obesity: A Knowledge-Based Infrastructure for Supporting Multi-Stakeholder Partnership Decision-Making in Quebec, Canada. - Nii Antiaye Addy; Arash Shaban-Nejad; David L. Buckeridge; Laurette Dubé (CoRR, 2019)

A Unified, Resource-Rational Account of the Allais and Ellsberg Paradoxes. - Ardavan Salehi Nobandegani; Thomas R. Shultz; Laurette Dubé (CogSci, 2021)

Using Big Data and Machine Learning for Multilayered Surveillance for Healthy Food Environment and Diet. - Fares Belkhiria; Jian-Yun Nie; Catherine Paquet; Raja Sengupta 001; Antonia Gieschen; Byomkesh Talukder; Shawn Brown; Laurette Dubé (IEEE Big Data, 2022)

Heterogeneity in feature importance and prediction performance for sales at the market and store levels: the case of branded yogurt products in Quebec. - Cameron McRae; Jian-Yun Nie; Laurette Dubé (IEEE Big Data, 2022)

Tracing Digital Transformation Pathways from Subsistence Farming to Equitable and Sustainable Modern Society: Revisiting the eKutir ICT Platform-Enabled Ecosystem as an Interstitial Space. - Cameron McRae; Maria Annosi; Laurette Dubé (ICIS, 2022)

Design for a Virtual Peer-to-Peer Knowledge to Action Platform for Type 2 Diabetes. - Elham Golkhandan; Alessia Paglialonga; Aziz Guergachi; Marie-Thérèse Lussier; Claude Richard; Laurette Dubé; Ian Zenlea; Robert Kyba; Manmohan Mittal; Warren "Smokey" Thomas; Karim Keshavjee (MIE, 2022)

Following Good Examples - Health Goal-Oriented Food Recommendation based on Behavior Data. - Yabo Ling; Jian-Yun Nie; Daiva Nielsen; Bärbel Knäuper; Nathan Yang; Laurette Dubé (WWW, 2022)

Reshaping Loyalty Programs for Sustainability: Harnessing the Power of Mobile Marketing. - Cameron McRae; Laurette Dubé (ICIS, 2023)

Quantitative and Spatially Explicit Clustering of Urban Grocery Shoppers in Montreal: Integrating Loyalty Data with Synthetic Population. - Duo Zhang; Laurette Dubé; Antonia Gieschen; Catherine Paquet; Raja Sengupta 001 (ISPRS Int. J. Geo Inf., 2025)