Conflict resolution strategies and their performance models for large-scale multiagent systems 

Predicting alcohol use: a nonlinear model with expectancies and memory associations 

Thwarting adversaries with unpredictability: massive-scale game-theoretic algorithms for real-world security deployments 

Fault tolerant characteristics of artificial neural network electronic hardware 

Characterization of visual cells using generic models and natural stimuli 

Generating and utilizing machine explanations for trustworthy NLP 

The scope and significance of George Berkeley's language model 

Building energy performance estimation approach: facade visual information-driven benchmark performance model 

Point cloud data fusion of RGB and thermal information for advanced building envelope modeling in support of energy audits for large districts 

Intelligent Learning Quotient 

Explainable AI architecture for automatic diagnosis of melanoma using skin lesion photographs 

Deep generative models for image translation 

Speeding up distributed constraint optimization search algorithms 

A novel hybrid probabilistic framework for model validation 

Development of biologically-inspired sub-gram insect-scale autonomous robots 

Bridging performance gaps by occupancy and weather data-driven energy prediction modeling using neural networks 

No-regret learning and last-iterate convergence in games 

Finite element model to understand the role of fingerprints in generating vibrations 

Efficient production system match and constraint satisfaction problem solving 

Balancing tradeoffs in security games: handling defenders and adversaries with multiple objectives 

Artificial insects driven by high-frequency shape-memory alloy actuation 

Model-based human pose estimation and tracking 

Computational modeling and utilization of attention, surprise and attention gating 

On the design of sub-kilogram intelligent tele-robots 

Advances in linguistic data-oriented uncertainty modeling, reasoning, and intelligent decision making