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检索条件"机构=Artificial Intelligence and Machine Learning Faculty of Engineering and Technology"
1540 条 记 录,以下是1431-1440 订阅
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Comparison of MCDA methods based on distance to reference objects - a simple study case
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Procedia Computer Science 2021年 192卷 4972-4979页
作者: Mykhailo Yelmikheiev Tomasz Norek Machine Learning Group Department of Artificial Intelligence and Applied Mathematics Faculty of Computer Science and Information Technology West Pomeranian University of Technology in Szczecin ul. Żołnierska 49 71-210 Szczecin Poland Institute of Spatial Management and Socio-Economic Geography University of Szczecin al. Papieża Jana Pawła II 22a 70-453 Szczecin Poland
With technology development approach to cleaning changed as well. The vacuum cleaner robot market suggests a wide choice of different models. Choosing the model with optimal price, engine power, noise level, and other... 详细信息
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Black-box reductions for zeroth-order gradient algorithms to achieve lower query complexity
The Journal of Machine Learning Research
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The Journal of machine learning Research 2021年 第1期22卷 7685-7731页
作者: Bin Gu Xiyuan Wei Shangqian Gao Ziran Xiong Cheng Deng Heng Huang Department of Machine Learning Mohamed bin Zayed University of Artificial Intelligence UAE and JD Finance America Corporation School of Computer & Software Nanjing University of Information Science & Technology China Electrical and Computer Engineering University of Pittsburgh Pittsburgh PA School of Electronic Engineering Xidian University Xi'an Shaanxi China Electrical and Computer Engineering University of Pittsburgh Pittsburgh PA and JD Finance America Corporation
Zeroth-order (ZO) optimization has been the key technique for various machine learning applications especially for black-box adversarial attack, where models need to be learned in a gradient-free manner. Although many... 详细信息
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Improved decision making with similarity based machine learning: Applications in chemistry
arXiv
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arXiv 2022年
作者: Lemm, Dominik von Rudorff, Guido Falk von Lilienfeld, O. Anatole University of Vienna Faculty of Physics Kolingasse 14-16 ViennaAT-1090 Austria University of Vienna Vienna Doctoral School in Physics Boltzmanngasse 5 ViennaAT-1090 Austria Departments of Chemistry Materials Science and Engineering and Physics University of Toronto St. George Campus TorontoON Canada Vector Institute for Artificial Intelligence TorontoONM5S 1M1 Canada Machine Learning Group Technische Universität Berlin Institute for the Foundations of Learning and Data Berlin10587 Germany
Despite the fundamental progress in autonomous molecular and materials discovery, data scarcity throughout chemical compound space still severely hampers the use of modern ready-made machine learning models as they re... 详细信息
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Advanced sound-based pest detection in agriculture using deep learning and adaptive optimization
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International Journal of Information technology (Singapore) 2025年 1-11页
作者: R, Sahana Lokesh SailajaKumar, K. S.Soundariya, R. K S, Kavitha Reshma, S. Department of Computer Science & Engineering (Cyber Security) Ramaiah Institute of Technology Bengaluru India SoCSE RV University Bangalore India Department of Computer Technology Bannari Amman Institute of Technology Tamil Nadu Sathyamangalam India Department of Computer Science and Engineering Dayananda Sagar College of Engineering Bengaluru India Department of Artificial Intelligence and Machine Learning Dayananda Sagar College of Engineering Bengaluru India
Implementing sound-based pest detection systems in large fields comes with challenges, including the complexity of acoustic data, interference from environmental noise, and the need for scalable, real-time solutions c... 详细信息
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Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
arXiv
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arXiv 2024年
作者: Bassi, Pedro R.A.S. Li, Wenxuan Tang, Yucheng Isensee, Fabian Wang, Zifu Chen, Jieneng Chou, Yu-Cheng Roy, Saikat Kirchhoff, Yannick Rokuss, Maximilian Huang, Ziyan Ye, Jin He, Junjun Wald, Tassilo Ulrich, Constantin Baumgartner, Michael Maier-Hein, Klaus H. Jaeger, Paul Ye, Yiwen Xie, Yutong Zhang, Jianpeng Chen, Ziyang Xia, Yong Xing, Zhaohu Zhu, Lei Sadegheih, Yousef Bozorgpour, Afshin Kumari, Pratibha Azad, Reza Merhof, Dorit Shi, Pengcheng Ma, Ting Du, Yuxin Bai, Fan Huang, Tiejun Zhao, Bo Wang, Haonan Li, Xiaomeng Gu, Hanxue Dong, Haoyu Yang, Jichen Mazurowski, Maciej A. Gupta, Saumya Wu, Linshan Zhuang, Jiaxin Chen, Hao Roth, Holger Xu, Daguang Blaschko, Matthew B. Decherchi, Sergio Cavalli, Andrea Yuille, Alan L. Zhou, Zongwei Department of Computer Science Johns Hopkins University United States Department of Pharmacy and Biotechnology University of Bologna Italy Center for Biomolecular Nanotechnologies Istituto Italiano di Tecnologia Italy NVIDIA United States Germany Germany ESAT-PSI KU Leuven Belgium Faculty of Mathematics and Computer Science Heidelberg University Germany HIDSS4Health - Helmholtz Information and Data Science School for Health Germany Shanghai Jiao Tong University China Shanghai Artificial Intelligence Laboratory China Pattern Analysis and Learning Group Department of Radiation Oncology Heidelberg University Hospital Germany DKFZ Germany School of Computer Science and Engineering Northwestern Polytechnical University China Australian Institute for Machine Learning The University of Adelaide Australia College of Computer Science and Technology Zhejiang University China Hong Kong University of Science and Technology Guangzhou China Hong Kong University of Science and Technology Hong Kong Faculty of Informatics and Data Science University of Regensburg Germany Faculty of Electrical Engineering and Information Technology RWTH Aachen University Germany Fraunhofer Institute for Digital Medicine MEVIS Germany Electronic & Information Engineering School Harbin Institute of Technology Shenzhen China China The Chinese University of Hong Kong Hong Kong Peking University China Department of Electrical and Computer Engineering Duke University United States Stony Brook University United States Department of Computer Science and Engineering Department of Chemical and Biological Engineering Division of Life Science Hong Kong University of Science and Technology Hong Kong Data Science and Computation Facility Fondazione Istituto Italiano di Tecnologia Italy Ecole Polytechnique Fédérale de Lausanne Switzerland
How can we test AI performance? This question seems trivial, but it isn’t. Standard benchmarks often have problems such as in-distribution and small-size test sets, oversimplified metrics, unfair comparisons, and sho... 详细信息
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Impact of noise on inverse design: The case of NMR spectra matching
arXiv
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arXiv 2023年
作者: Lemm, Dominik von Rudorff, Guido Falk von Lilienfeld, O. Anatole University of Vienna Faculty of Physics Kolingasse 14-16 ViennaAT-1090 Austria University of Vienna Vienna Doctoral School in Physics Boltzmanngasse 5 ViennaAT-1090 Austria University Kassel Department of Chemistry Heinrich-Plett-Str.40 Kassel34132 Germany Heinrich-Plett-Straße 40 Kassel34132 Germany Departments of Chemistry Materials Science and Engineering and Physics University of Toronto St. George Campus TorontoON Canada Vector Institute for Artificial Intelligence TorontoONM5S 1M1 Canada Machine Learning Group Technische Universität Berlin Institute for the Foundations of Learning and Data Berlin10587 Germany
Despite its fundamental importance and widespread use for assessing reaction success in organic chemistry, deducing chemical structures from nuclear magnetic resonance (NMR) measurements has remained largely manual an... 详细信息
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Method of Predicting of Trend in the Stock Exchange using ML and DL Algorithms
Method of Predicting of Trend in the Stock Exchange using ML...
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International Conference on Contemporary Computing and Informatics (IC3I)
作者: Gagan Deep Arora Mohammed Faez Hasan Kawerinder Singh Sidhu Vikas Tripathi Dipankar Misra T. Vijaya Kumar Department of Artificial Intelligence(AI) and Machine Learning (ML) Vardhaman College of Engineering Hyderabad Telangana Department of Finance and Banking Sciences Kerbala University Karbala Iraq UIM Uttaranchal University Dehradun Uttarakhand Department of Computer Science & Engineering Graphic Era Deemed to be University Dehradun Uttarakhand India Nischintapur Budge Budge Budge Budge Institute of Technology Kolkata West Bengal India Department of Mechanical Koneru Lakshmaiah Education Foundation Vaddeswaram Andhra Pradesh India
Stock are the core of every investing portfolio and may be the most commonly used financial tool ever created for accumulating wealth. Now, almost everyone may invest in stocks due to developments in selling technolog... 详细信息
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A Survey of the Self Supervised learning Mechanisms for Vision Transformers
arXiv
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arXiv 2024年
作者: Khan, Asifullah Sohail, Anabia Fiaz, Mustansar Hassan, Mehdi Afridi, Tariq Habib Marwat, Sibghat Ullah Munir, Farzeen Ali, Safdar Naseem, Hannan Zaheer, Muhammad Zaigham Ali, Kamran Sultana, Tangina Tanoli, Ziaurrehman Akhter, Naeem Pattern Recognition Lab DCIS PIEAS Nilore Islamabad45650 Pakistan PIEAS Nilore Islamabad45650 Pakistan Deep Learning Lab Center for Mathematical Sciences PIEAS Nilore Islamabad45650 Pakistan Center of Secure Cyber-Physical Security Systems Khalifa University Abu Dhabi United Arab Emirates IBM Research United States Department of Computer Science Air University Islamabad Pakistan Department of Computer Science and Engineering Kyung Hee University Global Campus 1732 Gyeonggi-do Yongin17104 Korea Republic of Department of Electrical Engineering and Automation Aalto University Finland Finnish Center of Artificial Center Finland Faculty of Engineering and Green Technology Universiti Tunku Abdul Rahman Malaysia Computer Vision Department Mohamed Bin Zayed University of Artificial Intelligence United Arab Emirates Karachi Pakistan Department of Electronics and Communication Engineering Hajee Mohammad Danesh Science and Technology University Bangladesh HiLIFE University of Helsinki Finland
Vision Transformers (ViTs) have recently demonstrated remarkable performance in computer vision tasks. However, their parameter-intensive nature and reliance on large amounts of data for effective performance have shi... 详细信息
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Exact Decomposition of Joint Low Rankness and Local Smoothness Plus Sparse Matrices
arXiv
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arXiv 2022年
作者: Peng, Jiangjun Wang, Yao Zhang, Hongying Wang, Jianjun Meng, Deyu School of Mathematics and Statistics Ministry of Education Key Lab of Intelligent Networks and Network Security Xi'an Jiaotong University Shaan'xi Xi’an710049 China The Center for Intelligent Decision-making and Machine Learning School of Management Xian Jiaotong University Shaan'xi Xi’an China The College of Artificial Intelligence Southwest University Chongqing400715 China Macau Institute of Systems Engineering Macau University of Science and Technology Taipa China
It is known that the decomposition in low-rank and sparse matrices (L+S for short) can be achieved by several Robust PCA techniques. Besides the low rankness, the local smoothness (LSS) is a vitally essential prior fo... 详细信息
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Ethical and legal challenges with IoT in home digital twins
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MethodsX 2025年 14卷
作者: Dhinakaran, D. Edwin Raja, S. Ramathilagam, A. Vennila, G. Alagulakshmi, A. Department of Computer Science and Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai India Department of Computer Science and Engineering P.S.R Engineering College Sivakasi India Department of Artificial Intelligence and Machine Learning School of Computing Mohan Babu University Tirupati India Department of Information Technology Ramco Institute of Technology Rajapalayam India
Home Digital Twins represent a transformative application of IoT in the home environment, turning conventional living spaces into intelligent ecosystems. This paper explores the ethical and legal challenges associated... 详细信息
来源: 评论