Simon J. Blanchard

Since my time at the GERAD in 2004 -2005, I have worked on the development of algorithms and statistical models to draw inferences based on datasets for the input data does not have labeled responses.

I have applied such methods in the study of free-categorization (i.e., how consumers intuitively see some objects as similar in some way), substitution patterns, image classification, and misinformation.

Research about Unsupervised Learning

Applications of Unsupervised Learning

  1. Simon J. Blanchard, Theodore J. Noseworthy, Ethan Pancer, Maxwell Poole. "Visual Scene Elements and New Product Success: An Analysis of Crowdfunding Product Images Using Automated Image Classification" Under second round review at the Journal of Marketing Research.
  2. Verena Schoenmuller, Simon J. Blanchard, Gita V. Johar "Identifying and Predicting Fake News Sharers: Beyond Demographics and Ideology." Under review.
  3. Hamilton, Rebecca, W., Debora V. Thompson, Zachary G. Arens, Simon J. Blanchard, Gerald Haubl, P.K. Kannan, Donald R. Lehmann, Margaret G. Meloy, Neal Roese, Manoj Thomas (2014). "Consumer Substitution Decisions: An Integrative Framework." Marketing Letters, 25 (3), 305-317.

Development of Unsupervised Learning Models

  1. Rodrigo Randel, Daniel Aloise, Alain Hertz, and Simon J. Blanchard "A Lagrangian-based score for assessing the quality of pairwise constraints in semi-supervised clustering." Under review.
  2. Daniel Pinerho, Daniel Aloise, Simon J. Blanchard "Convex Fuzzy k-Medoid Clustering." Conditionally accepted at Fuzzy Sets and Systems.
  3. Blanchard, Simon J., Daniel Aloise, Wayne S. DeSarbo (2017). ”Extracting Summary Piles from Sorting Task Data, " Journal of Marketing Research, 54(3), 398-414.
  4. Blanchard, Simon J., Ishani Banerji. (2016) "Evidence-Based Recommendations for Designing Free-Sorting Experiments." Behavior Research Methods, 48 (4), 1318-1336.
  5. Santi, Everton, Daniel Aloise and Simon J. Blanchard (2016). "A Model for Clustering Using Heterogeneous Dissimilarity Matrices." European Journal of Operations Research, 253 (3), 659-672.
  6. Blanchard, Simon J., Wayne S. DeSarbo (2013). "A New Zero-Inflated Negative Binomial Methodology for Latent Category Identification." Psychometrika, 78 (2), 322-340.
  7. Blanchard, Simon J., Daniel Aloise and Wayne S. DeSarbo (2012). "Heterogeneous P-Median for Categorization Based Clustering." Psychometrika, 77 (4), 741-762.
  8. Blanchard, Simon J., Wayne S. DeSarbo, A. Selin Atalay, Nukhet Harmancioglu (2011). "Identifying Consumer Heterogeneity in Unobserved Categories." Marketing Letters, 23 (1), 177-194.
  9. DeSarbo, Wayne S., A. Selin Atalay, David LeBaron, and Simon J. Blanchard (2008). "Estimating Multiple Segment-Level Ideal Points from Context Dependent Survey Data." Journal of Consumer Research, 35 (June), 142-153.