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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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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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