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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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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
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