Search Results for author:
Found 11 papers, 9 papers with code
ETDPC: A Multimodality Framework for Classifying Pages in Electronic Theses and Dissertations
To overcome the challenge of imbalanced labeled samples, we augmented data for minority categories and employed a hierarchical classifier.
AI Chatbot for Generating Episodic Future Thinking (EFT) Cue Texts for Health
We describe an AI-powered chatbot to aid with health improvement by generating Episodic Future Thinking (EFT) cue texts that should reduce delay discounting.
MetaEnhance: Metadata Quality Improvement for Electronic Theses and Dissertations of University Libraries
Metadata quality is crucial for digital objects to be discovered through digital library interfaces.
Automatic Metadata Extraction Incorporating Visual Features from Scanned Electronic Theses and Dissertations
Our experiments show that CRF with visual features outperformed both a heuristic and a CRF model with only text-based features.
Ranked #1 on
Key Information Extraction
on ETD500
Key Information Extraction
Optical Character Recognition (OCR)
ScanBank: A Benchmark Dataset for Figure Extraction from Scanned Electronic Theses and Dissertations
To the best of our knowledge, ScanBank is the first manually annotated dataset for figure and table extraction for scanned ETDs.
Differentially Private Synthetic Medical Data Generation using Convolutional GANs
Deep learning models have demonstrated superior performance in several application problems, such as image classification and speech processing.
On the Evaluation of Generative Adversarial Networks By Discriminative Models
Generative Adversarial Networks (GANs) can accurately model complex multi-dimensional data and generate realistic samples.
Aspect Classification for Legal Depositions
We hypothesize that a legal deposition consists of various aspects that are discussed as part of the deponent testimony.
Natural Language Processing Advancements By Deep Learning: A Survey
Natural Language Processing (NLP) helps empower intelligent machines by enhancing a better understanding of the human language for linguistic-based human-computer communication.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
CorGAN: Correlation-Capturing Convolutional Generative Adversarial Networks for Generating Synthetic Healthcare Records
To demonstrate the model fidelity, we show that CorGAN generates synthetic data with performance similar to that of real data in various Machine Learning settings such as classification and prediction.
Ranked #1 on
Synthetic Data Generation
on UCI Epileptic Seizure Recognition
(using extra training data)
A Hybrid Model for Role-related User Classification on Twitter
To aid a variety of research studies, we propose TWIROLE, a hybrid model for role-related user classification on Twitter, which detects male-related, female-related, and brand-related (i. e., organization or institution) users.
Social and Information Networks
