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检索条件"机构=Mathematical Institute for Machine Learning and Data Science"
799 条 记 录,以下是1-10 订阅
排序:
D’OH: Decoder-Only Random Hypernetworks for Implicit Neural Representations  17th
D’OH: Decoder-Only Random Hypernetworks for Implicit Neura...
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17th Asian Conference on Computer Vision, ACCV 2024
作者: Gordon, Cameron E. MacDonald, Lachlan Saratchandran, Hemanth Lucey, Simon Australian Institute for Machine Learning University of Adelaide AdelaideSA5000 Australia Mathematical Institute for Data Science John Hopkins University BaltimoreMD21218 United States
Deep implicit functions have been found to be an effective tool for efficiently encoding all manner of natural signals. Their attractiveness stems from their ability to compactly represent signals with little to no of... 详细信息
来源: 评论
Automated Quality Assessment Using Appearance-Based Simulations and Hippocampus Segmentation on Low-Field Paediatric Brain MR Images  1st
Automated Quality Assessment Using Appearance-Based Simulati...
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1st MICCAI Challenge on Low Field Pediatric Brain Magnetic Resonance Image Segmentation and Quality Assurance, LISA 2024, held in Conjunction with Medical Image Computing and Computer Assisted Intervention Conference, MICCAI 2024
作者: Sundaresan, Vaanathi Dinsdale, Nicola K Department of Computational and Data Sciences Indian Institute of Science Bangalore560012 India Oxford Machine Learning in NeuroImaging Lab Department of Computer Science University of Oxford Oxford United Kingdom
Understanding the structural growth of paediatric brains is a key step in the identification of various neuro-developmental disorders. However, our knowledge is limited by many factors, including the lack of automated... 详细信息
来源: 评论
Dynamic k-Anonymity for Electronic Health Records: A Topological Framework  19th
Dynamic k-Anonymity for Electronic Health Records: A Topolo...
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19th International Workshop on data Privacy Management, DPM 2024, 8th International Workshop on Cryptocurrencies and Blockchain Technology, CBT 2024 and 10th Workshop on the Security of Industrial Control Systems and of Cyber-Physical Systems, CyberICPS 2024 which were held in conjunction with the 29th European Symposium on Research in Computer Security, ESORICS 2024
作者: Swaminathan, Arjhun Akgün, Mete Medical Data Privacy and Privacy Preserving Machine Learning Department of Computer Science University of Tübingen Tübingen Germany Institute for Bioinformatics and Medical Informatics Tübingen Germany
With the rapid digitization of Electronic Health Records (EHRs), fast and adaptive data anonymization methods have become increasingly important. While tools from topological data analysis (TDA) have been proposed to ... 详细信息
来源: 评论
Leveraging Patient Flow data to Reduce Hospital Readmissions: A Study Using Medical Dashboards  4
Leveraging Patient Flow Data to Reduce Hospital Readmissions...
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4th International Conference on Sentiment Analysis and Deep learning, ICSADL 2025
作者: Deshmukh, Santoshi Pacharaney, Utkarsha Datta Meghe Institute of Higher Education and Research Department of Artificial Intelligence and Data Science Wardha India Datta Meghe Institute of Higher Education and Research Department of Artificial Intelligence and Machine Learning Wardha India
Transparent reporting of patient outcomes is becoming more and more common as the inequalities in health outcomes amongst groups are being more widely acknowledged. In addition, documenting health outcomes over time a... 详细信息
来源: 评论
A Comparative Analysis of Rule-based and AI-Driven Systems for Improving Customer Satisfaction and Engagement in E-Commerce using Chatbots Powered by Artificial Intelligence  6
A Comparative Analysis of Rule-based and AI-Driven Systems f...
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6th International Conference on Mobile Computing and Sustainable Informatics, ICMCSI 2025
作者: Deshmukh, Santoshi Gundewar, Swapnil Department of Artificial Intelligence and Data Science Datta Meghe Institute of Higher Education and Research Wardha India Department of Artificial Intelligence and Machine Learning Datta Meghe Institute of Higher Education and Research Wardha India
Chatbots: Chatbots, as robots, are the most recent and intelligent live chat communication devices. Furthermore, these days, it is commonly one of the customer service methods as it is also perfect for providing an ar... 详细信息
来源: 评论
Processes and measurements: a framework for understanding neural oscillations in field potentials
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Trends in Cognitive sciences 2025年 第5期29卷 448-466页
作者: van Bree, Sander Levenstein, Daniel Krause, Matthew R. Voytek, Bradley Gao, Richard Department of Medicine Justus Liebig University Giessen Germany Max Planck Institute for Human Cognitive and Brain Sciences Leipzig Germany Centre for Cognitive Neuroimaging School of Psychology and Neuroscience University of Glasgow Glasgow United Kingdom MILA – Quebec AI Institute MontrealQC Canada Montreal Neurological Institute and Hospital McGill University MontrealQC Canada Department of Cognitive Science Halıcıŏglu Data Science Institute Kavli Institute for Brain & Mind University of California San Diego La JollaCA United States Machine Learning in Science Excellence Cluster Machine Learning and Tübingen AI Center University of Tübingen Tübingen Germany
Various neuroscientific theories maintain that brain oscillations are important for neuronal computation, but opposing views claim that these macroscale dynamics are ‘exhaust fumes’ of more relevant processes. Here,... 详细信息
来源: 评论
Next-Gen Dermatology: Revolutionizing Dermatological Diagnostics with AI and Emergency Care Solutions  3
Next-Gen Dermatology: Revolutionizing Dermatological Diagnos...
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3rd International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics, IITCEE 2025
作者: Yashas, D. Kashyap, M. Shivani Charan, P.R. Hemanth Kumar, G.P. Abhishek, B.K. Deekshith, C. New Horizon College of Engineering Dept of Artificial Intelligence and Machine Learning Bengaluru India New Horizon College of Engineering Dept of Information Science and Engineering Bengaluru India Bnm Institute of Technology Dept of Artificial Intelligence and Machine Learning Bengaluru India Siddaganga Institute of Technology Dept of Artificial Intelligence and Data Science Tumkur India Vidyavardhaka College of Engineering Dept of Computer Science and Engineering Mysore India
Skin health conditions should be diagnosed and treated on time so as to prevent complications and promote better health results. This paper presents an AI-based system that makes use of Convolutional Neural Networks w... 详细信息
来源: 评论
Leveraging machine learning for intelligent agriculture
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Discover Internet of Things 2025年 第1期5卷 1-21页
作者: Sowmya, B.J. Meeradevi, A.K. Supreeth, S. Pradeep Kumar, D. Ravi Kumar, B.N. Rohith, S. Mishra, Divyansh Koushik, Abhishek Patil, Ankit U. Department of Artificial Intelligence and Data Science Ramaiah Institute of Technology Bengaluru560054 India Department of Artificial Intelligence and Machine Learning M S Ramaiah Institute of Technology Bengaluru560054 India School of Computer Science and Engineering REVA University Bengaluru560064 India Department of Computer Science Ramaiah Institute of Technology Bengaluru560054 India Department of Information Science and Engineering BMS Institute of Technology & Management Bengaluru560119 India Department of Electronics and Engineering Nagarjuna College of Engineering and Technology Bengaluru562164 India
Agriculture, the backbone of many economies, faces challenges like lack of information, outdated practices, and limited access to technology, hindering farmer productivity. This work proposes a user-friendly, multilin... 详细信息
来源: 评论
Addressing data Imbalance in machine learning: Challenges and Approaches  6
Addressing Data Imbalance in Machine Learning: Challenges an...
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6th International Conference on Mobile Computing and Sustainable Informatics, ICMCSI 2025
作者: Langote, Meher Zade, Nikita Gundewar, Swapnil Artificial Intelligence and Data Science Faculty of Engineering and Technology Datta Meghe Institute of Higher Education and Research Maharashtra Sawangi India Artificial Intelligence and Machine Learning Faculty of Engineering and Technology Datta Meghe Institute of Higher Education and Research Maharashtra Sawangi India
A key difficulty of dealing with imbalanced datasets is that machine learning models are trained to favor the majority class and therefore perform poorly when it comes to a minority class classification. In this paper... 详细信息
来源: 评论
The mathematics of dots and pixels: On the theoretical foundations of image halftoning
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GAMM Mitteilungen 2025年 第1期48卷
作者: Krahmer, Felix Veselovska, Anna Department of Mathematics and Munich Data Science Institute Technical University of Munich Munich Germany Munich Center for Machine Learning Munich Germany
The evolution of image halftoning, from its analog roots to contemporary digital methodologies, encapsulates a fascinating journey marked by technological advancements and creative innovations. Yet the theoretical und... 详细信息
来源: 评论