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检索条件"机构=Department of Computer Science and Engineering and Translational Data Analytics Institute"
480 条 记 录,以下是201-210 订阅
排序:
Effective Training Strategy for NN Models of Working Memory Classification with Limited Samples
Effective Training Strategy for NN Models of Working Memory ...
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IEEE International Symposium on Biomedical Imaging
作者: Pranav Suresh Bhaskar Ray Bishal Thapaliya Britny Farahdel Behnam Kazemivash Jiayu Chen Kuaikuai Duan Vince D. Calhoun Jingyu Liu Tri-Institutional Center for Translational Research in Neuroimaging and Data Science Department of Computer Science Georgia State University Atlanta USA School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta USA
In biomedical imaging, we often encounter tasks requiring machine learning models to analyze large amounts of variables. However, in practice, limited and imbalanced samples hinder the prediction power of the machine ...
来源: 评论
UP-CNN: Un-pooling augmented convolutional neural network
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Pattern Recognition Letters 2019年 119卷 34-40页
作者: Chunyan Xu Jian Yang Hanjiang Lai Junbin Gao Linlin Shen Shuicheng Yan School of Computer Science and Engineering Nanjing University of Science and Technology 210094 China School of Data and Computer Science Sun Yat-Sen University 510275 China Discipline of Business Analytics University of Sydney Business School Universtiy of Sydney NSW 2006 Australia Computer Vision Institute School of Computer Science and Software Engineering Shenzhen University 518060 China Department of Electrical and Computer Engineering National University of Singapore 117583 Singapore
Convolutional neural network (CNN) has shown remarkable performance in various visual recognition tasks. Most of existing CNN is a purely bottom-up and feed-forward architecture, we argue that it fails to consider the...
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Image Processing: Unlocking the Secrets of Visual Information
Image Processing: Unlocking the Secrets of Visual Informatio...
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Trends in Quantum Computing and Emerging Business Technologies (TQCEBT), International Conference on
作者: D. Lavanya Kavi Bhushan Gur Sharan Kant A C Sountharraj Akanksha Srivastav M. Sharmila Begum Computer Science and Engineering Department Sri Venkateswara College of Engineering Tirupati Andhra Pradesh Department of Computer Science Sir Chhotu Ram Institute of Engg. & Technology CCS University Meerut U.P India Department Of Computer Science With Data Analytics Dr. Ngp Art's and Science College Coimbatore Department of Computer Science and Engineering Tula's Institute Dehradun Department of Computer Science Maharaja Institute of Technology Mysore
In the age of image processing, the hidden ability can be encoded with visual information that is not only observed but also painstakingly carried out; in this way, the complex secrets that are encoded in each pixel h... 详细信息
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On the concentration of Gaussian Cayley matrices
arXiv
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arXiv 2022年
作者: Bandeira, Afonso S. Kunisky, Dmitriy Mixon, Dustin G. Zeng, Xinmeng Department of Mathematics ETH Zürich Switzerland Department of Computer Science Yale University United States Department of Mathematics The Ohio State University United States Translational Data Analytics Institute The Ohio State University United States
Given a finite group, we study the Gaussian series of the matrices in the image of its left regular representation. We propose such random matrices as a benchmark for improvements to the noncommutative Khintchine ineq... 详细信息
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An Industrial IoT Driven Approach for Sewage Gas Identification and Reporting System using Intelligent Sensors with Logical Controller  1
An Industrial IoT Driven Approach for Sewage Gas Identificat...
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1st International Conference on Innovative Sustainable Technologies for Energy, Mechatronics and Smart Systems, ISTEMS 2024
作者: Rajasubha, J. Ramya, R. Juliet, A. Hency Janakiraman, V. Devi, S. Rukmani Karuppaiah, S. Dhanalakshmi College of Engineering and Technology Department of Computer Science and Engineering Tamil Nadu Chennai India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Department of Nano Electronics Materials and Sensors Tamil Nadu Chennai India Saveetha College of Liberal Arts and Sciences Saveetha Institute of Medical and Technical Sciences Saveetha University Department of Data Analytics Tamil Nadu Chennai India Prince Shri Venkateshwara Padmavathy Engineering College Department of Mechanical Engineering Chennai India Saveetha College of Liberal Arts and Sciences Simats Deemed to Be University Department of Computer Science Tamil Nadu Chennai India R.M.D Engineering College Department of Electronics and Communication Engineering Tamil Nadu Chennai India
Based on a real-time sewage gas level detection and monitoring system, this system seeks to offer intelligent solutions for the monitoring of toxic sewage gases. An alarm is issued to the observer who is looking at th... 详细信息
来源: 评论
Attentive fine-tuning of Transformers for Translation of low-resourced languages @LoResMT 2021  4
Attentive fine-tuning of Transformers for Translation of low...
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4th Workshop on Technologies for Machine Translation of Low-Resource Languages, LoResMT 2021
作者: Puranik, Karthik Hande, Adeep Priyadharshini, Ruba Durairaj, Thenmozi Sampath, Anbukkarasi Thamburaj, Kingston Pal Chakravarthi, Bharathi Raja Department of Computer Science Indian Institute of Information Technology Tiruchirappalli India ULTRA Arts and Science College Tamil Nadu Madurai India Sri Sivasubramaniya Nadar College of Engineering Tamil Nadu India Kongu Engineering College Tamil Nadu Erode India Sultan Idris Education University Tanjong Malim Perak Malaysia Insight SFI Research Centre for Data Analytics National University of Ireland Galway Ireland
This paper reports the Machine Translation (MT) systems submitted by the IIITT team for the English→Marathi and English-Irish language pairs LoResMT 2021 shared task. The task focuses on getting exceptional translati... 详细信息
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Improving Compound Activity Classification via Deep Transfer and Representation Learning
arXiv
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arXiv 2021年
作者: Dey, Vishal Machiraju, Raghu Ning, Xia Department of Computer Science and Engineering The Ohio State University ColumbusOH United States Biomedical Informatics The Ohio State University ColumbusOH United States Translational Data Analytics Institute The Ohio State University ColumbusOH United States
Recent advances in molecular machine learning, especially deep neural networks such as Graph Neural Networks (GNNs) for predicting structure activity relationships (SAR) have shown tremendous potential in computer-aid... 详细信息
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Large Multi-Modal Models (LMMs) as Universal Foundation Models for AI-Native Wireless Systems
arXiv
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arXiv 2024年
作者: Xu, Shengzhe Thomas, Christo Kurisummoottil Hashash, Omar Muralidhar, Nikhil Saad, Walid Ramakrishnan, Naren Sanghani Center for Artificial Intelligence and Data Analytics Computer Science Department Virginia Tech China Bradley Department of Electrical and Computer Engineering Virginia Tech ArlingtonVA United States Department of Computer Science Stevens Institute of Technology NJ United States
Large language models (LLMs) and foundation models have been recently touted as a game-changer for 6G systems. However, recent efforts on LLMs for wireless networks are limited to a direct application of existing lang... 详细信息
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Entity Decomposition with Filtering: A Zero-Shot Clinical Named Entity Recognition Framework
arXiv
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arXiv 2024年
作者: Averly, Reza Ning, Xia Department of Computer Science and Engineering The Ohio State University United States Department of Biomedical Informatics The Ohio State University United States Translational Data Analytics Institute The Ohio State University United States College of Pharmacy The Ohio State University United States
Clinical named entity recognition (NER) aims to retrieve important entities within clinical narratives. Recent works have demonstrated that large language models (LLMs) can achieve strong performance in this task. Whi... 详细信息
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Cooperative Multi-source data Trading
Cooperative Multi-source Data Trading
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2024 IEEE Global Communications Conference, GLOBECOM 2024
作者: Cheng, Jin Ding, Ningning Lui, John C. S. Huang, Jianwei The Chinese University of Hong Kong School of Science and Engineering Shenzhen Institute of Artificial Intelligence and Robotics for Society Shenzhen China Hong Kong University of Science and Technology Data Science and Analytics Thrust Information Hub Guangzhou China The Chinese University of Hong Kong Department of Computer Science and Engineering Hong Kong The Chinese University of Hong Kong School of Science and Engineering Shenzhen Institute of Artificial Intelligence and Robotics for Society Shenzhen Key Laboratory of Crowd Intelligence Empowered Low-Carbon Energy Network Csijri Joint Research Centre on Smart Energy Storage Shenzhen China
In the era of big data, data trading significantly enhances data-driven technologies by facilitating data sharing. Despite the clear advantages often experienced by data users when incorporating multiple sources, the ... 详细信息
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