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检索条件"机构=Data Science Program Computer Science Department"
24664 条 记 录,以下是4701-4710 订阅
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Prospector Heads: Generalized Feature Attribution for Large Models & data
arXiv
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arXiv 2024年
作者: Machiraju, Gautam Derry, Alexander Desai, Arjun Guha, Neel Karimi, Amir-Hossein Zou, James Altman, Russ B. Ré, Christopher Mallick, Parag Department of Biomedical Data Science Stanford University United States Cartesia AI Department of Computer Science Stanford University United States Department of Electrical & Computer Engineering University of Waterloo Canada Department of Radiology Stanford University United States
Feature attribution, the ability to localize regions of the input data that are relevant for classification, is an important capability for ML models in scientific and biomedical domains. Current methods for feature a... 详细信息
来源: 评论
Enhanced adaptive data rate strategies for energy-efficient Internet of Things communication in LoRaWAN
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International Journal of Communication Systems 2025年 第2期38卷
作者: Ali Lodhi, Muhammad Wang, Lei Mahmood, Khalid Farhad, Arshad Chen, Jenhui Kumari, Saru School of Software Technology Dalian University of Technology Dalian China Graduate School of Intelligent Data Science National Yunlin University of Science and Technology Douliu Taiwan Department of Computer Science FAST-National University of Computer and Emerging Sciences Islamabad Pakistan Department of Computer Science and Information Engineering Chang Gung University Taoyuan Taiwan Department of Mathematics Chaudhary Charan Singh University Meerut India School of Chemical Engineering and Physical Sciences Lovely Professional University Jalandhar India
The long-range wide area network (LoRaWAN) is a standard for the Internet of Things (IoT) because it has low cost, long range, not energy-intensive, and capable of supporting massive end devices (EDs). The adaptive da... 详细信息
来源: 评论
IoT Attack Detection and Prevention Through Machine Learning System  2
IoT Attack Detection and Prevention Through Machine Learning...
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2nd IEEE International Conference on Communication, Security and Artificial Intelligence, ICCSAI 2023
作者: Agrawal, Kanishk Poli, Pavan Kumar Reddy Gupta, Yash Juneja, Garv Bopaiah, Adhip Kishen Arani, Dinesh Ashok Cse Manglayatan University Department of Iet Uttar Pradesh Aligarh India Managing Information Technology Implementations Program Management for Fortune 6 Healthcare Company United States Birla Institute of Technology and Science Department of Computer Science and Information Systems Pilani India Maharaja Surajmal Institute of Technology Guru Gobind Singh Indraprastha University Department of Computer Science and Engineering Delhi India Trinity College Bangalore India Manglayatan University Uttar Pradesh Aligarh India
Attacks on web applications are constantly growing in both frequency and severity. Abundant data on the internet stimulates hackers to attempt different types of cyberattacks. Attack detection using conventional appro... 详细信息
来源: 评论
Deep Variational Bayesian Modeling of Haze Degradation Process
arXiv
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arXiv 2024年
作者: Im, Eun Woo Shin, Junsung Baik, Sungyong Kim, Tae Hyun Department of Artificial Intelligence Hanyang University Seoul Korea Republic of Department of Data Science Hanyang University Seoul Korea Republic of Department of Computer Science Hanyang University Seoul Korea Republic of
Relying on the representation power of neural networks, most recent works have often neglected several factors involved in haze degradation, such as transmission (the amount of light reaching an observer from a scene ... 详细信息
来源: 评论
ION-C: Integration of Overlapping Networks via Constraints
arXiv
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arXiv 2024年
作者: Nair, Praveen Bhandari, Payal Abavisani, Mohammadsajad Plis, Sergey Danks, David Department of Computer Science and Engineering University of California San Diego United States Department of Electrical and Computer Engineering Georgia Institute of Technology United States TReNDS Center Department of Computer Science Georgia State University United States Halicioglu Data Science Institute Department of Philosophy University of California San Diego United States
In many causal learning problems, variables of interest are often not all measured over the same observations, but are instead distributed across multiple datasets with overlapping variables. Tillman et al. [2008] pre...
来源: 评论
Identifying Trustworthiness Challenges in Deep Learning Models for Continental-Scale Water Quality Prediction
arXiv
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arXiv 2025年
作者: Xia, Xiaobo Liu, Xiaofeng Liu, Jiale Fang, Kuai Lu, Lu Oymak, Samet Currie, William S. Liu, Tongliang School of Computer Science University of Sydney Australia Department of Statistics and Data Science Yale University United States Michigan Institute for Data and AI in Society University of Michigan United States School for Environment and Sustainability University of Michigan United States College of Information Science and Technology Penn State University United States Department of Earth System Science Stanford University United States Department of Electrical Engineering and Computer Science University of Michigan United States
Water quality is foundational to environmental sustainability, ecosystem resilience, and public health. Deep learning models, particularly Long Short-Term Memory (LSTM) networks, offer trans-formative potential for la... 详细信息
来源: 评论
A Survey on Evolutionary Feature Selection in Multi-Label Classification
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IEEE Transactions on Evolutionary Computation 2025年
作者: Hancer, Emrah Xue, Bing Zhang, Mengjie Victoria University of Wellington Center for Data Science and Artificial Intelligence School of Engineering and Computer Science Wellington6140 New Zealand Burdur Mehmet Akif Ersoy University Department of Software Engineering Burdur15039 Turkey
Multi-label classification (MLC) involves assigning multiple labels to each instance from a predefined set of labels. With the increasing prevalence of multi-label datasets in real-world problems, MLC has become a pop... 详细信息
来源: 评论
A Fresh Look at Sanity Checks for Saliency Maps
arXiv
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arXiv 2024年
作者: Hedström, Anna Weber, Leander Lapuschkin, Sebastian Höhne, Marina Department of Electrical Engineering and Computer Science TU Berlin Germany Department of Artificial Intelligence Fraunhofer HHI Berlin Germany Germany BIFOLD - Berlin Institute for the Foundations of Learning and Data Germany Department of Computer Science University of Potsdam Germany
The Model Parameter Randomisation Test (MPRT) is highly recognised in the eXplainable Artificial Intelligence (XAI) community due to its fundamental evaluative criterion: explanations should be sensitive to the parame...
来源: 评论
Understanding the Definitions of Microcredentials in Higher Education: Systematic Literature Review
Understanding the Definitions of Microcredentials in Higher ...
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TVET Excellence & Development (ICTeD), International Conference on
作者: Wihendro Harco Leslie Hendric Spits Warnars Harjanto Prabowo Sfenrianto Information Systems Department BINUS Graduate Program- Computer Science Bina Nusantara University Jakarta Indonesia Computer Science Department BINUS Graduate Program- Computer Science Bina Nusantara University Jakarta Indonesia Management Department BINUS Business School Undergraduate Program Bina Nusantara University Jakarta Indonesia Information Systems Management Department BINUS Graduate Program–Master of Information Systems Management Bina Nusantara University Jakarta Indonesia
The growing focus on microcredentials emphasizes the urgent need for precise and widely accepted definitions, as existing uncertainties hinder their effective implementation. This research aims to investigate the comp... 详细信息
来源: 评论
A Unified Framework to Assess Market Implications of Institutional Investments
A Unified Framework to Assess Market Implications of Institu...
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2022 IEEE International Conference on Big data, Big data 2022
作者: Seth, Taruna Tiu, Cristian Chaudhary, Vipin University at Buffalo Department of Computer Science and Engineering Buffalo United States University at Buffalo Department of Finance Buffalo United States Case Western Reserve University Department of Computer and Data Sciences Cleveland United States
US financial markets are influenced by complex interactions of diverse entities like institutional investors, which control a considerable portion of all US financial assets. Despite significant increase in the instit... 详细信息
来源: 评论