Zobrazeno 1 - 10
of 299
pro vyhledávání: '"Adjeroh, Donald A."'
Autor:
Bui, Nhat-Tan, Hoang, Dinh-Hieu, Phan, Thinh, Tran, Minh-Triet, Patel, Brijesh, Adjeroh, Donald, Le, Ngan
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 conditions and detecting anomalies in ECG data. However, distinguishing bet
Externí odkaz:
http://arxiv.org/abs/2312.10187
Autor:
Mohamadi, Salman, Adjeroh, Donald A.
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. Biologists implicitly categorize age-related genes into genes that cause agin
Externí odkaz:
http://arxiv.org/abs/2311.09411
ZEETAD: Adapting Pretrained Vision-Language Model for Zero-Shot End-to-End Temporal Action Detection
Temporal action detection (TAD) involves the localization and classification of action instances within untrimmed videos. While standard TAD follows fully supervised learning with closed-set setting on large training data, recent zero-shot TAD method
Externí odkaz:
http://arxiv.org/abs/2311.00729
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 in tweets. Tweets from eighteen US states, including the Appalachian re
Externí odkaz:
http://arxiv.org/abs/2309.13147
Autor:
Bui, Nhat-Tan, Hoang, Dinh-Hieu, Tran, Minh-Triet, Doretto, Gianfranco, Adjeroh, Donald, Patel, Brijesh, Choudhary, Arabinda, Le, Ngan
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 learning, automated image segmentation methods have risen to prominen
Externí odkaz:
http://arxiv.org/abs/2309.03493
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 variance and different types of corruption that are inherent in the s
Externí odkaz:
http://arxiv.org/abs/2308.11651
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 (NLP) and has pushed the boundaries of LLM capabilities. ChatGPT has p
Externí odkaz:
http://arxiv.org/abs/2307.04251
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 models exploit information about data distribution, and less dependent o
Externí odkaz:
http://arxiv.org/abs/2307.00651
Current approaches to novelty or anomaly detection are based on deep neural networks. Despite their effectiveness, neural networks are also vulnerable to imperceptible deformations of the input data. This is a serious issue in critical applications,
Externí odkaz:
http://arxiv.org/abs/2306.03331
Autor:
Tran, Kim Hoang, Dinh, Anh Duy Le, Nguyen, Tien Phat, Phan, Thinh, Nguyen, Pha, Luu, Khoa, Adjeroh, Donald, Doretto, Gianfranco, Le, Ngan Hoang
Despite recent significant progress, Multi-Object Tracking (MOT) faces limitations such as reliance on prior knowledge and predefined categories and struggles with unseen objects. To address these issues, Generic Multiple Object Tracking (GMOT) has e
Externí odkaz:
http://arxiv.org/abs/2305.17648