Improving Design Preference Prediction Accuracy Using Feature Learning

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Quantifying Aesthetic Form Preference in a Utility Function

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Automated Discovery of Lead Users and Latent Product Features by Mining Large Scale Social Media Networks

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When Crowdsourcing Fails: A Study of Expertise on Crowdsourced Design Evaluation

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A Machine Learning Approach to Conjoint Analysis

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A Data-Driven Network Analysis Approach to Predicting Customer Choice Sets for Choice Modeling in Engineering Design

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Market-System Design Optimization With Consider-Then-Choose Models

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Perceptual Attributes in Product Design: Fuel Economy and Silhouette-Based Perceived Environmental Friendliness Tradeoffs in Automotive Vehicle Design

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A Fast Augmented Lagrangian Algorithm for Learning Low-Rank Matrices

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Incorporating Customer Preferences and Market Trends in Vehicle Package Design

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Towards Understanding the Role of Interaction Effects in Visual Conjoint Analysis

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Balancing Design Freedom and Brand Recognition in the Evolution of Automotive Brand Styling

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Quantification of perceptual design attributes using a crowd

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The use of analytics in the design of sociotechnical products

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A Scalpel Not a Sword: On the Role of Statistical Tests in Design Cognition

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Scalable Low-Rank Representation

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Tackling climate change with machine learning

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Outperforming RBM Feature-Extraction Capabilities by “Dreaming” Mechanism

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An Overview of Restricted Boltzmann Machines

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Approximate Learning Algorithm for Restricted Boltzmann Machines

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