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检索条件"机构=Center of Signal and Image Processing School of Electrical and Computer Engineering"
411 条 记 录,以下是21-30 订阅
排序:
Multi-modal signal integration for enhanced sleep stage classification: Leveraging EOG and 2-channel EEG data with advanced feature extraction
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Artificial Intelligence in Medicine 2025年 166卷 103152-103152页
作者: Samaee, Mahdi Yazdi, Mehran Massicotte, Daniel Signal and Image Processing Laboratory School of Electrical and Computer Engineering Shiraz University Shiraz Iran Laboratory of Signal and System Integration Department of Electrical and Computer Engineering Université du Québec à Trois-Rivières Trois-Rivières Canada
This paper introduces an innovative approach to sleep stage classification, leveraging a multi-modal signal integration framework encompassing Electrooculography (EOG) and two-channel electroencephalography (EEG) data... 详细信息
来源: 评论
Are Objective Explanatory Evaluation Metrics Trustworthy? An Adversarial Analysis
Are Objective Explanatory Evaluation Metrics Trustworthy? An...
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IEEE International Conference on image processing
作者: Prithwijit Chowdhury Mohit Prabhushankar Ghassan AlRegib Mohamed Deriche School of Electrical and Computer Engineering OLIVES at the Center for Signal and Information Processing Georgia Institute of Technology Atlanta GA Ajman University United Arab Emirates
Explainable AI (XAI) has revolutionized the field of deep learning by empowering users to have more trust in neural network models. The field of XAI allows users to probe the inner workings of these algorithms to eluc... 详细信息
来源: 评论
Machine learning predicts long-term mortality after acute myocardial infarction using systolic time intervals and routinely collected clinical data
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Intelligent Medicine 2024年 第3期4卷 170-176页
作者: Bijan Roudini Boshra Khajehpiri Hamid Abrishami Moghaddam Mohamad Forouzanfar Department of Systems Engineering School of Advanced TechnologyUniversity of QuebecMontrealCanada Machine Vision and Medical Image Processing(MVMIP)Laboratory Faculty of Electrical and Computer EngineeringK.N.Toosi University of TechnologyTehranIran Research Center of the Montreal University Institute of Geriatrics MontrealCanada
Background Precise estimation of current and future comorbidities of patients with cardiovascular disease is an important factor in prioritizing continuous physiological monitoring and new *** learning(ML)models have ... 详细信息
来源: 评论
Learning Trajectory-Conditioned Relations to Predict Pedestrian Crossing Behavior
arXiv
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arXiv 2023年
作者: Zhou, Chen AlRegib, Ghassan Parchami, Armin Singh, Kunjan OLIVES The Center for Signal and Information Processing School of Electrical and Computer Engineering United States Ford Motor Company DearbornMI United States
In smart transportation, intelligent systems avoid potential collisions by predicting the intent of traffic agents, especially pedestrians. Pedestrian intent, defined as future action, e.g., start crossing, can be dep... 详细信息
来源: 评论
FORGETFUL ACTIVE LEARNING WITH SWITCH EVENTS: EFFICIENT SAMPLING FOR OUT-OF-DISTRIBUTION DATA
arXiv
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arXiv 2023年
作者: Benkert, Ryan Prabhushankar, Mohit AlRegib, Ghassan OLIVES The Center for Signal and Information Processing School of Electrical and Computer Engineering Georgia Institute of Technology AtlantaGA30332-0250 United States
This paper considers deep out-of-distribution active learning. In practice, fully trained neural networks interact randomly with out-of-distribution (OOD) inputs and map aberrant samples randomly within the model repr... 详细信息
来源: 评论
ARE OBJECTIVE EXPLANATORY EVALUATION METRICS TRUSTWORTHY? AN ADVERSARIAL ANALYSIS
arXiv
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arXiv 2024年
作者: Chowdhury, Prithwijit Prabhushankar, Mohit AlRegib, Ghassan Deriche, Mohamed OLIVES at the Center for Signal and Information Processing Georgia Institute of Technology AtlantaGA30332-0250 United States School of Electrical and Computer Engineering Ajman University United Arab Emirates
Explainable AI (XAI) has revolutionized the field of deep learning by empowering users to have more trust in neural network models. The field of XAI allows users to probe the inner workings of these algorithms to eluc... 详细信息
来源: 评论
Efficient Fault Detection in Nonlinear Industrial Process: A Reduced Kernel PCA-Based Spectral Clustering Approach
Efficient Fault Detection in Nonlinear Industrial Process: A...
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Artificial Intelligence, Applications, Innovation and Ethics (AI2E), International Conference for
作者: Khadija Attouri Majdi Mansouri Mansour Hajji Kais Bouzrara Laboratory of Advanced Materials and Nanotechnologies Higher Institute of Applied Sciences and Technology of Kasserine Kairouan University Tunisia Department of Electrical and Computer Engineering College of Engineering Sultan Qaboos University Muscat Oman Research Laboratory of Automation Signal Processing and Image National Engineering School of Monastir Tunisia
The challenges posed by nonlinearities in industrial systems necessitate innovative techniques that outperform the limitations of traditional methods such as principal component analysis (PCA). While Kernel Principal ... 详细信息
来源: 评论
Short-Term Photovoltaic Power Forecasting-Based Kernel Ridge Regression
Short-Term Photovoltaic Power Forecasting-Based Kernel Ridge...
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Artificial Intelligence, Applications, Innovation and Ethics (AI2E), International Conference for
作者: Manel Marweni Majdi Mansouri Mansour Hajji Mohamed Faouzi Mimouni Research Laboratory of Automation Signal Processing and Image National Engineering School of Monastir Tunisia Department of Electrical and Computer Engineering College of Engineering Sultan Qaboos University Muscat Oman Laboratory of Advanced Materials and Nanotechnologies Higher Institute of Applied Sciences and Technology of Kasserine Kairouan University Kasserine Tunisia
The modern energy landscape is undergoing a seismic change from traditional, finite energy sources and toward cleaner, renewable alternatives. The restrictions faced by traditional sources, which are not only finite b... 详细信息
来源: 评论
FOCAL: A Cost-Aware Video Dataset for Active Learning
FOCAL: A Cost-Aware Video Dataset for Active Learning
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IEEE International Conference on Big Data
作者: Kiran Kokilepersaud Yash-Yee Logan Ryan Benkert Chen Zhou Mohit Prabhushankar Ghassan AlRegib Enrique Corona Kunjan Singh Mostafa Parchami OLIVES at the Center for Signal and Information Processing CSIP School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA Ford Motor Company Dearborn Michigan
In this paper, we introduce the FOCAL (Ford-OLIVES Collaboration on Active Learning) dataset which enables the study of the impact of annotation-cost within a video active learning setting. Annotation-cost refers to t...
来源: 评论
Enhancing Fault Diagnosis of Uncertain Grid-Connected Photovoltaic Systems using Deep GRU-based Bayesian optimization
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IFAC-PapersOnLine 2024年 第4期58卷 449-454页
作者: Zahra Yahyaoui Mansour Hajji Majdi Mansouri Abdelmalek Kouadri Kais Bouzrara Hazem Nounou Research Unit Advanced Materials and Nanotechnologies Higher Institute of Applied Sciences and Technology of Kasserine Kairouan University Kasserine 1200 Tunisia Electrical and Computer Engineering Program Texas A&M University at Qatar Doha Qatar Signals and Systems Laboratory Institute of Electrical and Electronics Engineering University M Hamed Bougara of Boumerdes Boumerdes Algeria Laboratory of Automatic Signal and Image Processing National Engineering School of Monastir Tunisia
The efficacy of photovoltaic systems is significantly impacted by electrical production losses attributed to faults. Ensuring the rapid and cost-effective restoration of system efficiency necessitates robust fault det... 详细信息
来源: 评论