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S. Bursztyn, Victor
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Abraham, Ian
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Al-Bahrani, Reda
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Alharbi, Rawan
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Amartya Banerjee
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Machine Learning
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Computer Vision
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Deep Learning
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Artificial Intelligence
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AutoPoint: Selecting and Interacting with Distant Objects While Traveling in an Automo...
Unified Compositional Models for Visual Recognition
Applications of Statistical Language Models in Complex Network Community Detection and...
Variants of MaxRS Queries for Trajectories, Shapes and Spatial Data Streams
Interphase Modeling and Data Analytical Approaches for Polymer Nanocomposites Design
Computational Electron Microscopy for the Characterization of Soft, Hard, and Hybrid ...
Machine Learning for Multi-Sensory Data
Knowledge Discovery for Health Informatics from Structured and Textual Data
Unchaining the Blockchain Network Layer
Generalizable Data-driven Models for Personalized Shared Control of Human-Machine Systems
Designing Online Social Support Systems to Build the Self-Efficacy of Newcomers
Relational Mechanisms in Team Self-Assembly: A Network and Computational Approach
The Effect of Availability, Message Attributes, and Relational Variables on Predicting...
Neural Network Approaches for Video Transmission, Motion Estimation and Error Concealment
Learning Visual Matching From Small-Size Samples
Mutational Processes Modeling and Early Cancer Diagnosis
AutoPoint: Selecting and Interacting with Distant Objects While Traveling in an Automo...
Sparsity-based computational three dimensional microscopic imaging
Toward Automated Sketching Collaborators: An Analogical Route
Methods for Improving Natural Language Processing Techniques with Linguistic Regularit...
Understanding and Improving Content Distribution Through Expansive Network Measurements
Mathematical Models for Human-Robot Systems in Assistive Robotics: Perception, Inferen...
Computational Approaches to Detection of Narrative Frames in News
Identifying and Addressing Structural Inequalities in the Representativeness of Geogra...
Intensionality and Abstraction: A Theory of Logical Form
Discriminative Dimensionality Reduction using Deep Neural Networks
Three Studies on Technological Support for Participation in Volunteer Communities
Neural Network Design and Modulation for Medical Image and Video Segmentation
Deep Perceptual Losses and Self-supervised Fine-tuning for Image and Video Super-resol...
Multi-Scale, Multi-Class Agent-Based Models of Biological Systems
Asymptotic Uncertainty Quantification and Its Application in Efficient Sampling and Le...
Sound Event Annotation and Detection with Less Human Effort
Building a Private Data Federation: Security and Privacy Guarantees for Distributed An...
Biases as Values: Evaluating Algorithms in Context
Synergy of Physics and Learning-based Models in Computational Imaging and Display
Designing Flexible Coordination Systems to Advance Individual and Collective Goals in ...
Presenting the Self on Unstable Ground: Adaptive Folk Theorization as a Path to Algori...
Learning under Adversarial Resilience
Topics in Statistical Modeling for Unstructured Text Data with Application to Commonse...
Designing Assistive Technologies for Context-Specific Communication for People with Ap...
Understanding and Designing Equitable Sociotechnical Systems to Support Freelancers in...
Fisher Score-Based Concept Drift Monitoring and Diagnosis with Applications to Microst...
A Constructive Calculus for Esterel
Analyzing the Role of Natural Language in Neural-Symbolic Models
Computational 3D Imaging with High Temporal, Lateral, and Depth Resolution
Auditory-inspired Approaches to Audio Representation and Analysis for Machine Hearing
Caring Together: A Digital Ethnography of How People with Mental Illness Participate O...
Mobile Computational Imaging Systems for Appearance Modeling Based Surface Shape Recovery
Optimal Experimental Learning and Infinite Linear Embeddings
Scaling Classroom Education with Peer Review: A Natural Language Processing Approach
Using Computational Models to Create Perceptually Relevant User Interfaces for Nonvisu...
Intrusion Response via Graph-based Low-level System Event Analysis
Revelation Gap in Prior-independent Mechanism Design
Accelerated Cardiovascular MRI using Compressed Sensing and Artificial Intelligence
Supportive Family Communication During the Transition to College
Understanding and Mitigating New Risks in Location-Aware Technologies
Model Positionality: A Novel Framework for Data Science with Subjective Target Concepts
Incremental Structure Building and Islands
IMPROVING SECURITY AND ROBUSTNESS OF HARDWARE AND LEARNING SYSTEMS
Real-Time View Synthesis using Deep Learning
Bayesian-robust Algorithms Analysis with Applications in Mechanism Design
Methods for Nonlinear and Noisy Optimization
Understanding Self-Tracked Data from Bounded Situational Contexts
Decentralized Persistent Shape Formation in Large-Scale Homogeneous Robotic Swarms
Physics-Informed Data-Driven Prediction and Design in Advanced Manufacturing Processes
Deep Reinforcement Learning based Wireless Resource Management
Vision-Based Automation for Accelerated Structural Interpretation in Atomic-Resolution...
Methods for Stochastic, Noisy, and Derivative-Free Optimization
Ensembling and Data Selection for Neural Language Models, and Analysis of F-measure
Empowering Teachers to CT-ify the Science Classroom: Moving from Educational Technolog...
Measuring Model-Based Learning of Complex Systems with Multiple Data Streams
Machine Learning-based Health-related Behavior Detection using Wearables
Socio-technical Systems for Identifying Latent Knowledge Gaps
Utilizing Literature to Characterize Materials from Images
Integrating Heterogeneous Traffic Data Sources with High Definition Maps in Autonomous...
Principled Analysis of High-Dimensional Data: How to Identify Signals while under the ...
Computational Practice and Perspectives in the Arts
Enabling Robust and Secure Edge-to-Cloud Communications
(In)visible Labor: Patterns of Articulation Work in Support of Addressing the Rise and...
Approximate Optimality of Simple Mechanisms
Investigating Student Self-Perceptions During The Programming Process
Towards modeling closed-loop sensorimotor integration in tactile sensing systems
Revisiting Software-based Memory Management
Data-Driven and Diversity-Enhanced Design of Heterogeneous Multiscale Structures
Re-imagining Wearable Visual Systems for Context-Aware Computing
On the Optimality and Complexity of Reinforcement Learning
Geometric deep learning in neuroimaging and human reward behavior
Analytical Methods and Deep Priors on X-ray Ptychography, Computed Tomography, and Com...
Better Reasoning for Visual Question Answering
Score-Informed and Hierarchical Methods for Computational Musical Scene Analysis
Data Leverage: A Framework for Empowering the Public to Mitigate Harms of Artificial I...
Machine Leaning with Heterogeneous Data
Democratizing Power in Tech: Reconceptualizing Data Production as a Form of Labor
Reading Users: Using Language Models to Close the Pragmatic Gap in Task-Oriented Conve...
On MAP Inference of Ferromagnetic Potts Models and Nonsymmetric Determinantal Point Pr...
Designing Web-Based Technologies for Data Visualization Skill Development
Learning from Limited and Imperfect Data in Cyber-Physical System
Reading Users: Using Language Models to Close the Pragmatic Gap in Task-Oriented Conve...
Computational Study of News Systems: Embracing the Complexity Paradigm
Auditing Algorithmic Communication Flows
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