Multi-Agent Hierarchical Reinforcement Learning
Networks in Climate Change Misinformation And Polarization
Machine Learning for Money Laundering
Engineering Materials for Energy Efficient Windows
Fast 3D Mapping of Underground Worlds
Qualitative Analysis of Personalized Wellness-Based Interventions for Undergraduate Students
Optimizing Electrokinetics in Nanopores
Sensor Fusion of Visual and Tactile Sensory Data for Object Localization and Robotic Manipulation
Modeling Measurement Drift for Supervised Learning Applications
Modeling Concurrency Bugs in Software Using Machine Learning
Characterizing Robustness of Neural Networks for Histopathological Image Segmentation
Nomon: A Single Switch Interface for Assistive Technology
A Unified Framework for Robot Understanding of Goal-related Information
Autonomous Excavation in Granular Materials with Reinforcement Learning
Learning a 3D Representation of Objects in Scenes for Robotic Manipulation
Distinguishing of Energy States in Readout of 3-Level Quantum Systems
Quantifying Statistical Uncertainty of Tracking Algorithms to Improve Human-in-the-Loop Analyses of Soccer
MorphSensor: An Electronic Design Tool and Fabrication Method for Reshaping Sensor Modules
Detection of Gut Microbiota in Human Stool Using RNA Toeholds: Predicting IBD Patient Response to Biologics
Boolean Functions Lacking Sparse High-Order Fourier Representations
Unlocking the Potential of Multicore Systems
Isoperimetric Profile and Medial Axis Curves
A Privacy-Preserving Framework for Secure Genomic Imputation
Studying Communication Patterns in Distributed Machine Learning Training
Automating Financial Agreements on the Ethereum Blockchain
Reinforcement Learning for Microrobot Locomotion
Incremental Computational Model for Logically Complex Generic Statements
A Collaborative Filtering Approach to Strategy Recommendation
Understanding the Molecular Mechanisms of Cognitive Reserve
Efficient Computing for Robotics on an FPGA
Modeling German Language Acquisition
Uncertainty Qualificiation for Molecular Property Prediction
Sparse Matrix Operations Optimization
High-Precision Question Answering Using Wikipedia Definitions
Designing a Ranking System for Pulmonary Edema Severity
Augmented One-Shot Learning
Improving the Explainability of CNN-Based Image Classifiers for Scene Recognition
Analysis of Feature Cues in Speech of Children with Speech Disorders
Design and Development of Soft Biomimetic Colonoscopy Robot
Nondeterminisitc SETH: Short Unsatisfiability Proofs for Boolean Formulas
Gallium Nitride Complementary MOS Microprocessor for High-Temperature Applications
Investigating Representations of Malicious PowerShell
Certified Robustness of Neural Networks for Top-k Predictions
Dynamic Bayesian Networks for Generation of Synthetic Electronic Health Records
Electronic Development & Miniaturization of a Prototype Hydration Monitoring Device
Active SLAM Implementations for Indoor Navigation
Manipulating Symbols with Recurrent Neural Networks
Interoperability Between OpenCilk and Pthreads
Dual System Morality: A Reinforcement Learning Approach
Discrete Event Simulation for Quantum Networks
Large-Scale Clinical Text Annotation
Learning Optimal Treatment Policies for Chronic Disease
Analog Memory-Based Devices for Deep Learning
Machine-Learning Based Model to Predict Intensive Care Unit Length of Stay
Universal Features for Graphs and Markov Chains via Modal Decomposition
A Sensor Fusion Algorithm for Reliable Estimation of Physiological Parameters
Understanding the Stability and Elemental Interdiffusion Between Solid-State Electrolytes and High-Capacity Cathodes with Utilization of Li3BO3 as a Sintering Agent
Electrical and Optical Properties of Gallium Nitride Under Applied Stress
Zero-Shot Visual Concept Captioning
Analysis and Real-Time Identification of Models for Airflow and CO2 Concentration in Exhaled Breath: Getting More Out of Capnography
Inductive Human Bias Via Human-Based Learning
Learned Intermediate Input Representation with Task-Independent Fairness Guarantees
Cloud Based Semi-Supervised GANs Training
Gradient Descent, Implicit Regularization, and Alignment in Deep Linear Autoencoders
Visualization of Global Road Quality Data to Decrease Environmental Impact
Data for Refugees: Analysis of Refugee Migration Data in Colombia
Training Verifiably Robust Deep Reinforcement Learning Agents
Nature Inspired Super-Maneuverability
Acoustic Phonetic Variation in Speech Recognition
Utilizing Discriminatory Networks and Expert Data in Training Reinforcement Learning Agents
High Level Synthesis for Highly Parallel Accelerator Architectures
Ion-Motion Protocols for a Large-Scale Ion Trap Quantum Computer
Wildcard: Spreadsheet-Driven Customization of Web Applications
Molecular Clock: Ultra-Stable Frequency Reference on a CMOS Chip
Can Batch Reverse Osmosis Systems Reduce the Cost of Seawater Desalination?
High Performance Image Processing with Fixed Point Types
Developing Models Resilient to Feature-Dependent Label Noise
Deep Reinforcement Learning and Game-Theoretic Control for Autonomous Navigation in Multi-Agent Settings
Analysis of Feature Cues for Diagnosis of Speech Impairment
Question Answering from Wikipedia
Understanding How the Brain Parses Language
Instrumented Crutch for Adaptive Balance Assistance
Electromagnetic Actuation of Electronic Microsystems
Compositionality for Robot Instruction Following
Ingestible Robots for Long Lasting Gastric Monitoring
Permeate Quality and Scaling in Batch Reverse Osmosis
Visualizing Spatio-Temporal Patterns
Automating Online Experiments: Algorithmic Creation of Online Virtual Environment
Topiary: A Spreadsheet Data Model for Web Applications
Congressional Redistricting Through Graph Partition Sampling
Associative Memory Using Quantum Systems
