Matthew Studley

Promoting novelty, rigor, and style in energy social science: Towards codes of practice for appropriate methods and research design

An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics

Gamification in theory and action: A survey

Evaluating energy behavior change programs using randomized controlled trials: Best practice guidelines for policymakers

Fuzzy-UCS: A Michigan-Style Learning Fuzzy-Classifier System for Supervised Learning

A survey on ensemble learning

Using crowdsourcing to support pro-environmental community activism

Machine learning for active matter

Disentangling Rotational Dynamics and Ordering Transitions in a System of Self-Organizing Protein Nanorods via Rotationally Invariant Latent Representations

Hybrid Adaptive Classifier Ensemble

Gathering and Presenting Social Feedback to Change Domestic Electricity Consumption

Learning Classifier System Ensembles With Rule-Sharing

Onboard Evolution of Understandable Swarm Behaviors

Is social norms marketing effective?