most citedA Robust Likelihood Model for Novelty Detection

1 citations · 1 across the 1 of their papers we have counts for

collaborators

8 papers

eess.IV2024

Efficient Classification of Histopathology Images

Mohammad Iqbal Nouyed, Mary-Anne Hartley, Gianfranco Doretto +1

This work addresses how to efficiently classify challenging histopathology images, such as gigapixel whole-slide images for cancer diagnostics with image-level annotation. We use i…

q-bio.GN2023

Heteroskedasticity as a Signature of Association for Age-Related Genes

Salman Mohamadi, Donald A. Adjeroh

Human aging is a process controlled by both genetics and environment. Many studies have been conducted to identify a subset of genes related to aging from the human genome. Biologi…

cs.CV20231 cited

ZEETAD: Adapting Pretrained Vision-Language Model for Zero-Shot End-to-End Temporal Action Detection

Thinh Phan, Khoa Vo, Duy Le +3

Temporal action detection (TAD) involves the localization and classification of action instances within untrimmed videos. While standard TAD follows fully supervised learning with…

cs.CL20231 cited

Cardiovascular Disease Risk Prediction via Social Media

Al Zadid Sultan Bin Habib, Md Asif Bin Syed, Md Tanvirul Islam +1

Researchers use Twitter and sentiment analysis to predict Cardiovascular Disease (CVD) risk. We developed a new dictionary of CVD-related keywords by analyzing emotions expressed i…

eess.SP2023

Distributionally Robust Cross Subject EEG Decoding

Tiehang Duan, Zhenyi Wang, Gianfranco Doretto +3

Recently, deep learning has shown to be effective for Electroencephalography (EEG) decoding tasks. Yet, its performance can be negatively influenced by two key factors: 1) the high…

cs.CL202320 cited

ChatGPT in the Age of Generative AI and Large Language Models: A Concise Survey

Salman Mohamadi, Ghulam Mujtaba, Ngan Le +2

ChatGPT is a large language model (LLM) created by OpenAI that has been carefully trained on a large amount of data. It has revolutionized the field of natural language processing…