Search Results for author: Edward A. Fox

Found 14 papers, 9 papers with code

Agentic AI for Improving Precision in Identifying Contributions to Sustainable Development Goals

no code implementations26 Nov 2024 William A. Ingram, Bipasha Banerjee, Edward A. Fox

As research institutions increasingly commit to supporting the United Nations' Sustainable Development Goals (SDGs), there is a pressing need to accurately assess their research output against these goals.

Benchmarking Retrieval

Automating Chapter-Level Classification for Electronic Theses and Dissertations

no code implementations26 Nov 2024 Bipasha Banerjee, William A. Ingram, Edward A. Fox

By providing chapter-level metadata information, we improve the effectiveness of ETDs as research resources.

Navigate

Analyzing Quality, Bias, and Performance in Text-to-Image Generative Models

no code implementations28 Jun 2024 Nila Masrourisaadat, Nazanin Sedaghatkish, Fatemeh Sarshartehrani, Edward A. Fox

Advances in generative models have led to significant interest in image synthesis, demonstrating the ability to generate high-quality images for a diverse range of text prompts.

Image Generation

ETDPC: A Multimodality Framework for Classifying Pages in Electronic Theses and Dissertations

1 code implementation7 Nov 2023 Muntabir Hasan Choudhury, Lamia Salsabil, William A. Ingram, Edward A. Fox, Jian Wu

To overcome the challenge of imbalanced labeled samples, we augmented data for minority categories and employed a hierarchical classifier.

Navigate

AI Chatbot for Generating Episodic Future Thinking (EFT) Cue Texts for Health

no code implementations6 Nov 2023 Sareh Ahmadi, Edward A. Fox

We describe an AI-powered chatbot to aid with health improvement by generating Episodic Future Thinking (EFT) cue texts that should reduce delay discounting.

Chatbot

ScanBank: A Benchmark Dataset for Figure Extraction from Scanned Electronic Theses and Dissertations

1 code implementation23 Jun 2021 Sampanna Yashwant Kahu, William A. Ingram, Edward A. Fox, Jian Wu

To the best of our knowledge, ScanBank is the first manually annotated dataset for figure and table extraction for scanned ETDs.

Data Augmentation Table Extraction

Differentially Private Synthetic Medical Data Generation using Convolutional GANs

1 code implementation22 Dec 2020 Amirsina Torfi, Edward A. Fox, Chandan K. Reddy

Deep learning models have demonstrated superior performance in several application problems, such as image classification and speech processing.

Deep Learning Image Classification +1

On the Evaluation of Generative Adversarial Networks By Discriminative Models

1 code implementation7 Oct 2020 Amirsina Torfi, Mohammadreza Beyki, Edward A. Fox

Generative Adversarial Networks (GANs) can accurately model complex multi-dimensional data and generate realistic samples.

Aspect Classification for Legal Depositions

no code implementations9 Sep 2020 Saurabh Chakravarty, Satvik Chekuri, Maanav Mehrotra, Edward A. Fox

We hypothesize that a legal deposition consists of various aspects that are discussed as part of the deponent testimony.

Classification General Classification +3

Natural Language Processing Advancements By Deep Learning: A Survey

1 code implementation2 Mar 2020 Amirsina Torfi, Rouzbeh A. Shirvani, Yaser Keneshloo, Nader Tavaf, Edward A. Fox

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) +3

CorGAN: Correlation-Capturing Convolutional Generative Adversarial Networks for Generating Synthetic Healthcare Records

1 code implementation25 Jan 2020 Amirsina Torfi, Edward A. Fox

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.

Disease Prediction General Classification +3

A Hybrid Model for Role-related User Classification on Twitter

1 code implementation26 Nov 2018 Liuqing Li, Ziqian Song, Xuan Zhang, Edward A. Fox

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

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