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20232026
most citedChatGPT in the Age of Generative AI and Large Language Models: A Concise Survey

20 citations · 28 across the 20 of their papers we have counts for

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10 papers · 1 filter

eess.SP2023

TSRNet: Simple Framework for Real-time ECG Anomaly Detection with Multimodal Time and Spectrogram Restoration Network

Nhat-Tan Bui, Dinh-Hieu Hoang, Thinh Phan +4

The electrocardiogram (ECG) is a valuable signal used to assess various aspects of heart health, such as heart rate and rhythm. It plays a crucial role in identifying cardiac condi…

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.CV2023★ 1 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…

eess.IV2023★ 4 cited

SAM3D: Segment Anything Model in Volumetric Medical Images

Nhat-Tan Bui, Dinh-Hieu Hoang, Minh-Triet Tran +5

Image segmentation remains a pivotal component in medical image analysis, aiding in the extraction of critical information for precise diagnostic practices. With the advent of deep…

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.CL2023★ 20 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…

cs.CV2023

More Synergy, Less Redundancy: Exploiting Joint Mutual Information for Self-Supervised Learning

Salman Mohamadi, Gianfranco Doretto, Donald A. Adjeroh

Self-supervised learning (SSL) is now a serious competitor for supervised learning, even though it does not require data annotation. Several baselines have attempted to make SSL mo…

cs.CV2023★ 1 cited

A Robust Likelihood Model for Novelty Detection

Ranya Almohsen, Shivang Patel, Donald A. Adjeroh +1

Current approaches to novelty or anomaly detection are based on deep neural networks. Despite their effectiveness, neural networks are also vulnerable to imperceptible deformations…

cs.CV2023

Z-GMOT: Zero-shot Generic Multiple Object Tracking

Kim Hoang Tran, Anh Duy Le Dinh, Tien Phat Nguyen +6

Despite recent significant progress, Multi-Object Tracking (MOT) faces limitations such as reliance on prior knowledge and predefined categories and struggles with unseen objects.…

cond-mat.other2023

Topic Modeling in Density Functional Theory on Citations of Condensed Matter Electronic Structure Packages

Marie Dumaz, Camila Romero-Bohorquez, Donald Adjeroh +1

With an increasing number of new scientific papers being released, it becomes harder for researchers to be aware of recent articles in their field of study. Accurately classifying…