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2023
TimberSleuth: Visual anomaly detection with human feedback for mitigating the illegal timber trade
Memetic Algorithms for Spatial Partitioning Problems
Redistrict: Designing a Self-Serve Interactive Boundary Optimization System
Exploring Tradeoffs in Automated School Redistricting: Computational and Ethical Perspectives
Learning Non-linguistic Skills without Sacrificing Linguistic Proficiency
Detecting Irregular Network Activity with Adversarial Learning and Expert Feedback
Innovations in Neural Data-to-text Generation
Reflecting on the Scalable Adaptive Graphics Environment Team's 20-Year Translational Research Endeavor in Digital Collaboration Tools
Mixed Multi-Model Semantic Interaction for Graph-based Narrative Visualizations
Evaluating Differences in Insights from Interactive Dimensionality Reduction Visualizations Through Complexity and Vocabulary
A Survey on Event-based News Narrative Extraction
This is the Table I Want! Interactive Data Transformation on Desktop and in Virtual Reality
Predicting Depression and Anxiety on Reddit: a Multi-task Learning Approach
PRISTINE: Semi-supervised Deep Learning Opioid Crisis Detection on Reddit
HyperTwitter: A Hypergraph-based Approach to Identify Influential Twitter Users and Tweets
Twitter Bot Identification: An Anomaly Detection Approach
DOD-Explainer: Explainable Drug Overdose Deaths Predictor from Crime and Socioeconomic Data
Building a Patient-Centered Virtual Hospital Ecosystem Using Both Access Control and CNN-Based Models
Explainable Prediction of the Severity of COVID-19 Outbreak for US Counties
HateNet: A Graph Convolutional Network Approach to Hate Speech Detection
Automated Urban Planning for Reimagining City Configuration via Adversarial Learning: Quantification, Generation, and Evaluation
TART: Improved Few-shot Text Classification Using Task-Adaptive Reference Transformation
CLUR: Uncertainty Estimation for Few-Shot Text Classification with Contrastive Learning
MetroScope: An Advanced System for Real-Time Detection and Analysis of Metro-Related Threats and Events via Twitter
DG-Trans: Dual-level Graph Transformer for Spatiotemporal Incident Impact Prediction on Traffic Networks
Towards Automated Urban Planning: When Generative and ChatGPT-like AI Meets Urban Planning
Med-MMHL: A Multi-Modal Dataset for Detecting Human- and LLM-Generated Misinformation in the Medical Domain
Self-Correlation and Cross-Correlation Learning for Few-Shot Remote Sensing Image Semantic Segmentation
Learning Decentralized Flocking Controllers with Spatio-Temporal Graph Neural Network
ALERTA-Net: A Temporal Distance-Aware Recurrent Networks for Stock Movement and Volatility Prediction
Algorithm 1031: MQSI - Monotone Quintic Spline Interpolation
A Temporal Encoder-Decoder Approach to Extracting Blood Volume Pulse Signal Morphology from Face Videos
Camera-based Recovery of Cardiovascular Signals from Unconstrained Face Videos using an Attention Network
Driver Gaze Fixation and Pattern Analysis in Safety Critical Events
Explainable Driver Activity Recognition Using Video Transformer in Highly Automated Vehicle
Integrated Digital Library System for Long Documents and their Elements
MetaEnhance: Metadata Quality Improvement for Electronic Theses and Dissertations of University Libraries
Who can Submit an Excellent Review for this Manuscript in the Next 30 Days? - Peer Reviewing in the Age of Overload
A New Annotation Method and Dataset for Layout Analysis of Long Documents
Retrieval-based Text Selection for Addressing Class-Imbalanced Data in Classification
Maximizing Equitable Reach and Accessibility of ETDs
Applications of data analysis on scholarly long documents
Human-Centric Contingency Analysis Metrics for Evaluating Operator Performance and Trust
Discovering Novel Biological Traits From Images Using Phylogeny-Guided Neural Networks
Let There Be Order: Rethinking Ordering in Autoregressive Graph Generation
Beyond Discriminative Regions: Saliency Maps as Alternatives to CAMs for Weakly Supervised Semantic Segmentation
Neuro-Visualizer: An Auto-encoder-based Loss Landscape Visualization Method
MEMTRACK: A Deep Learning-Based Approach to Microrobot Tracking in Dense and Low-Contrast Environments
Multi-task Learning for Source Attribution and Field Reconstruction for Methane Monitoring
Graph Deep Factors for Probabilistic Time-series Forecasting
Knowledge-Enhanced Multi-Label Few-Shot Product Attribute-Value Extraction
Near-Optimal Trajectory Generation for Flexible Motion Systems using Two-Boundary Approach
Data-Driven Near-Optimal Control of Nonlinear Systems Over Finite Horizon
Resource-Efficient Federated Learning for Heterogenous and Resource-Constrained Environments
GradXKG: A Universal Explain-per-use Temporal Knowledge Graph Explainer
Spatiotemporal estimations of temperature rise during electroporation treatments using a deep neural network
Specializing Neural Networks for Cryptographic Code Completion Applications
SpanL: Creating Algorithms for Automatic API Misuse Detection with Program Analysis Compositions
Not All Data are Created Equal: Data and Pointer Prioritization for Scalable Protection Against Data-Oriented Attacks
Crypto-ransomware Detection through Quantitative API-based Behavioral Profiling
How well does LLM generate security tests?
WindowSHAP: An Efficient Framework for Explaining Time-series Classifiers based on Shapley Values
Unified Energy-Based Generative Network for Supervised Image Hashing
A self-supervised learning-based approach to clustering multivariate time-series data with missing values (SLAC-Time): An application to TBI phenotyping
Supervised Contrastive Learning for Interpretable Long-Form Document Matching
Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic Forecasting
SeeGULL: A Stereotype Benchmark with Broad Geo-Cultural Coverage Leveraging Generative Models
Transformer-based Models for Long-Form Document Matching: Challenges and Empirical Analysis
International Workshop on Multimodal Learning - 2023 Theme: Multimodal Learning with Foundation Models
Execution-based Code Generation using Deep Reinforcement Learning
A Self-Supervised Learning-based Approach to Clustering Multivariate Time-Series Data with Missing Values (SLAC-Time): An Application to Traumatic Brain Injury Phenotyping
Transformer-based Planning for Symbolic Regression
Identifying TBI Physiological States by Clustering of Multivariate Clinical Time-Series
Complex Logical Reasoning over Knowledge Graphs using Large Language Models
SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training
Towards Semi-Structured Automatic ICD Coding via Tree-based Contrastive Learning
Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach
Multimedia Generative Script Learning for Task Planning
MultiInstruct: Improving Multi-Modal Zero-Shot Learning via Instruction Tuning
Teamwork Is Not Always Good: An Empirical Study of Classifier Drift in Class-incremental Information Extraction
Learning from a Friend: Improving Event Extraction via Self-Training with Feedback from Abstract Meaning Representation
SHARE ON Understand the Dynamic World: An End-to-End Knowledge Informed Framework for Open Domain Entity State Tracking
Text Mining-based Social-Psychological Vulnerability Analysis of Potential Victims To Cybergrooming: Insights and Lessons Learned
Rationalization for Explainable NLP: A Survey
ExClaim: Explainable Neural Claim Verification Using Rationalization
RE2: Region-Aware Relation Extraction from Visually Rich Documents
Iteratively Improving Biomedical Entity Linking and Event Extraction via Hard Expectation-Maximization
AMELI: Enhancing Multimodal Entity Linking with Fine-Grained Attributes
The Art of SOCRATIC QUESTIONING: Zero-shot Multimodal Reasoning with Recursive Thinking and Self-Questioning
A Survey of Document-Level Information Extraction
Efficient Federated Prompt Tuning for Black-box Large Pre-trained Models
MULTISCRIPT: Multimodal Script Learning for Supporting Open Domain Everyday Tasks
X-Eval: Generalizable Multi-aspect Text Evaluation via Augmented Instruction Tuning with Auxiliary Evaluation Aspects
APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models
2024
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