A unified framework for studying architectural decay of software systems 

Point-based representations for 3D perception and reconstruction 

Human behavior understanding from language through unsupervised modeling 

Architectural evolution and decay in software systems 

Speech and language understanding in the Sigma cognitive architecture 

Error tolerance approach for similarity search problems 

Deep representations for shapes, structures and motion 

Performance optimization in cellular neural networks and associated VLSI architectures 

Cooperative vision integration: From neural network algorithms to wafer scale architectures 

Theoretical foundations and design methodologies for cyber-neural systems 

On information captured by neural networks: connections with memorization and generalization 

Object localization with deep learning techniques 

Predicting debris yield using artificial intelligence models 

Deep learning techniques for supervised pedestrian detection and critically-supervised object detection 

Designing data-effective machine learning pipeline in application to physics and material science 

Architecture design and algorithmic optimizations for accelerating graph analytics on FPGA 

A function approximation view of database operations for efficient, accurate, privacy-preserving & robust query answering with theoretical guarantees 

Comparison of predicting accuracy of neural networks for censored survival data using generalized Receiver Operating Charactaristic (ROC)-C-Index method 

Identifying Social Roles in Online Contentious Discussions 

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

Deep learning models for temporal data in health care 

Physics-aware graph networks for spatiotemporal physical systems 

Schema architecture for language-vision interactions: a computational cognitive neuroscience model of language use 

Understanding sources of variability in learning robust deep audio representations 

Human motion data analysis and compression using graph based techniques