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107
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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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Deep Learning
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Mathematical Models for Human-Robot Systems in Assistive Robotics: Perception, Inferen...
AutoPoint: Selecting and Interacting with Distant Objects While Traveling in an Automo...
On MAP Inference of Ferromagnetic Potts Models and Nonsymmetric Determinantal Point Pr...
Unified Compositional Models for Visual Recognition
Towards Understanding and Reducing Exploitability of Linux Kernel Bugs
Deep Perceptual Losses and Self-supervised Fine-tuning for Image and Video Super-resol...
Real-Time View Synthesis using Deep Learning
Investigating Student Self-Perceptions During The Programming Process
Applications of Statistical Language Models in Complex Network Community Detection and...
Variants of MaxRS Queries for Trajectories, Shapes and Spatial Data Streams
Data Leverage: A Framework for Empowering the Public to Mitigate Harms of Artificial I...
Machine Learning-based Health-related Behavior Detection using Wearables
Designing Web-Based Technologies for Data Visualization Skill Development
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
Towards modeling closed-loop sensorimotor integration in tactile sensing systems
Knowledge Discovery for Health Informatics from Structured and Textual Data
Bayesian-robust Algorithms Analysis with Applications in Mechanism Design
Unchaining the Blockchain Network Layer
Revisiting Software-based Memory Management
Multi-Scale, Multi-Class Agent-Based Models of Biological Systems
Asymptotic Uncertainty Quantification and Its Application in Efficient Sampling and Le...
Generalizable Data-driven Models for Personalized Shared Control of Human-Machine Systems
Socio-technical Systems for Identifying Latent Knowledge Gaps
Intrusion Response via Graph-based Low-level System Event Analysis
Designing Online Social Support Systems to Build the Self-Efficacy of Newcomers
Relational Mechanisms in Team Self-Assembly: A Network and Computational Approach
Approximation Algorithms for Explainable Clustering
The Effect of Availability, Message Attributes, and Relational Variables on Predicting...
Neural Network Approaches for Video Transmission, Motion Estimation and Error Concealment
Sound Event Annotation and Detection with Less Human Effort
Learning Visual Matching From Small-Size Samples
Reasoning and Structured Explanations in Natural Language via Analogical and Neural Le...
Deep Reinforcement Learning based Wireless Resource Management
Revelation Gap in Prior-independent Mechanism Design
Building a Private Data Federation: Security and Privacy Guarantees for Distributed An...
Data-Driven and Diversity-Enhanced Design of Heterogeneous Multiscale Structures
Biases as Values: Evaluating Algorithms in Context
Mutational Processes Modeling and Early Cancer Diagnosis
AutoPoint: Selecting and Interacting with Distant Objects While Traveling in an Automo...
Synergy of Physics and Learning-based Models in Computational Imaging and Display
Accelerated Cardiovascular MRI using Compressed Sensing and Artificial Intelligence
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
Utilizing Literature to Characterize Materials from Images
Integrating Heterogeneous Traffic Data Sources with High Definition Maps in Autonomous...
Methods for Nonlinear and Noisy Optimization
Topics in Statistical Modeling for Unstructured Text Data with Application to Commonse...
Incremental Structure Building and Islands
Learning from Limited and Imperfect Data in Cyber-Physical System
Vision-Based Automation for Accelerated Structural Interpretation in Atomic-Resolution...
Enhancing Safety and Robustness for Mission-critical Systems with Formal Methods
Reading Users: Using Language Models to Close the Pragmatic Gap in Task-Oriented Conve...
Reading Users: Using Language Models to Close the Pragmatic Gap in Task-Oriented Conve...
Principled Analysis of High-Dimensional Data: How to Identify Signals while under the ...
Sparsity-based computational three dimensional microscopic imaging
Toward Automated Sketching Collaborators: An Analogical Route
Methods for Improving Natural Language Processing Techniques with Linguistic Regularit...
Machine Leaning with Heterogeneous Data
Understanding Self-Tracked Data from Bounded Situational Contexts
Computational Practice and Perspectives in the Arts
Supportive Family Communication During the Transition to College
Designing Assistive Technologies for Context-Specific Communication for People with Ap...
Understanding and Improving Content Distribution Through Expansive Network Measurements
Computational Approaches to Detection of Narrative Frames in News
Understanding and Designing Equitable Sociotechnical Systems to Support Freelancers in...
Identifying and Addressing Structural Inequalities in the Representativeness of Geogra...
Re-imagining Wearable Visual Systems for Context-Aware Computing
Computational Study of News Systems: Embracing the Complexity Paradigm
Fisher Score-Based Concept Drift Monitoring and Diagnosis with Applications to Microst...
Intensionality and Abstraction: A Theory of Logical Form
On the Optimality and Complexity of Reinforcement Learning
Discriminative Dimensionality Reduction using Deep Neural Networks
Enabling Robust and Secure Edge-to-Cloud Communications
IMPROVING SECURITY AND ROBUSTNESS OF HARDWARE AND LEARNING SYSTEMS
Democratizing Power in Tech: Reconceptualizing Data Production as a Form of Labor
(In)visible Labor: Patterns of Articulation Work in Support of Addressing the Rise and...
A Constructive Calculus for Esterel
Auditing Algorithmic Communication Flows
Decentralized Persistent Shape Formation in Large-Scale Homogeneous Robotic Swarms
Geometric deep learning in neuroimaging and human reward behavior
Methods for Stochastic, Noisy, and Derivative-Free Optimization
Analyzing the Role of Natural Language in Neural-Symbolic Models
Analytical Methods and Deep Priors on X-ray Ptychography, Computed Tomography, and Com...
Computational Imaging for Accurate 3D Modeling in Diverse Fields
Ensembling and Data Selection for Neural Language Models, and Analysis of F-measure
Three Studies on Technological Support for Participation in Volunteer Communities
Better Reasoning for Visual Question Answering
Using Computational Models to Create Perceptually Relevant User Interfaces for Nonvisu...
Computational 3D Imaging with High Temporal, Lateral, and Depth Resolution
Empowering Teachers to CT-ify the Science Classroom: Moving from Educational Technolog...
Auditory-inspired Approaches to Audio Representation and Analysis for Machine Hearing
Score-Informed and Hierarchical Methods for Computational Musical Scene Analysis
On Adaptive Time-Constrained Macro X-Ray Fluorescence Scanning and Analysis of Works o...
Understanding and Mitigating New Risks in Location-Aware Technologies
Fantastic Subgraphs and How to Find Them
Caring Together: A Digital Ethnography of How People with Mental Illness Participate O...
Mobile Computational Imaging Systems for Appearance Modeling Based Surface Shape Recovery
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