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检索条件"机构=Department of Computer Science and Intelligent Systems Program"
6562 条 记 录,以下是1-10 订阅
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Data-driven output regulation control for constrained linear systems
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science China(Information sciences) 2025年 第3期68卷 338-353页
作者: Chaoyu XIA Yi DONG Chaoli WANG Shengyuan XU Shanghai Research Institute for Intelligent Autonomous Systems Tongji University College of Electronic and Information Engineering Shanghai Research Institute for Intelligent Autonomous SystemsTongji University Department of Control Science and Engineering School of Optical-Electrical and Computer EngineeringUniversity of Shanghai for Science and Technology Department of Automation Nanjing University of Science and Technology
This study introduces a data-driven approach for state and output feedback control addressing the constrained output regulation problem in unknown linear discrete-time systems. Our method ensures effective tracking pe... 详细信息
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A Fairness Analysis of Human and AI-Generated Student Reflection Summaries  5
A Fairness Analysis of Human and AI-Generated Student Reflec...
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5th Workshop on Gender Bias in Natural Language Processing, GeBNLP 2024, held in conjunction with the 62nd Annual Meeting of the Association for Computational Linguistics, ACL 2024
作者: Baghel, Bhiman Kumar Narayanan, Arun Balajiee Lekshmi Yoder, Michael Miller Department of Computer Science United States Intelligent Systems Program University of Pittsburgh PA United States
This study examines the fairness of human- and AI-generated summaries of student reflections in university STEM classes, focusing on potential gender biases. Using topic modeling, we first identify topics that are mor... 详细信息
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Quantifying the Gaps Between Translation and Native Perception in Training for Multimodal, Multilingual Retrieval
Quantifying the Gaps Between Translation and Native Percepti...
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2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024
作者: Buettner, Kyle Kovashka, Adriana Intelligent Systems Program University of Pittsburgh United States Department of Computer Science University of Pittsburgh United States
There is a scarcity of multilingual vision-language models that properly account for the perceptual differences that are reflected in image captions across languages and cultures. In this work, through a multimodal, m... 详细信息
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Gymir5G: A Simulation Platform to Study Data Transmission over WebRTC in 5G Networks with Deep Learning Assistance  32
Gymir5G: A Simulation Platform to Study Data Transmission ov...
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32nd International Conference on Software, Telecommunications and computer Networks, SoftCOM 2024
作者: Smirnov, Nikita Tomforde, Sven Kiel University Department of Computer Science Intelligent Systems Kiel Germany
This paper presents Gymir5G, an open-source simulation platform for running various simulated scenarios in 4/5G and Wi-Fi networks. It is primarily designed to study the optimization of real-time multimedia data trans... 详细信息
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Dynamic Sampling-Based Meta-Learning Using Multilingual Acoustic Data for Under-Resourced Speech Recognition
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IEEE Access 2024年 12卷 106070-106083页
作者: Hsieh, I-Ting Wu, Chung-Hsien Zhao, Zhe-Hong National Cheng Kung University Graduate Program of Multimedia Systems and Intelligent Computing Tainan70101 Taiwan National Cheng Kung University Department of Computer Science and Information Engineering Tainan70101 Taiwan
Under-resourced automatic speech recognition (ASR) has become an active field of research and has experienced significant progress during the past decade. However, the performance of under-resourced ASR trained by exi... 详细信息
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Reaching and Grasping with NAO Robot  16th
Reaching and Grasping with NAO Robot
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16th International Conference on Social Robotics, ICSR + AI 2024
作者: Borghese, N. Alberto Chitti, Eleonora Laboratory of Applied Intelligent Systems Department of Computer Science University of Milan Milan Italy
In this paper we propose a robust approach that combines classical computer vision with a smart setup that enables a NAO humanoid robot to play with children. Blocks are adopted as playing objects as they are widely u... 详细信息
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ARnopoly: exploring strengths and weaknesses of AR experience enhancing board games  3
ARnopoly: exploring strengths and weaknesses of AR experienc...
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3rd Workshop on Artificial Intelligence for Human-Machine Interaction, AIxHMI 2024
作者: Chitti, Eleonora Barbagallo, Andrea Delia, Andrea Borghese, N. Alberto Applied Intelligent Systems Laboratory Department of Computer Science University of Milan Italy
This project aims to explore and apply the best practices of Augmented Reality (AR) design to the board play. We adapted the Monopoly game, developing an AR version that integrates the traditional game with new elemen... 详细信息
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Methods for class-imbalanced learning with support vector machines: a review and an empirical evaluation
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Soft Computing 2024年 第20期28卷 11873-11894页
作者: Rezvani, Salim Pourpanah, Farhad Lim, Chee Peng Wu, Q. M. Jonathan Department of Computer Science Ryerson University TorontoON Canada Department of Electrical and Computer Engineering University of Windsor WindsorON Canada Institute for Intelligent Systems Research and Innovation Deakin University GeelongVIC Australia
This paper presents a review on methods for class-imbalanced learning with the Support Vector Machine (SVM) and its variants. We first explain the structure of SVM and its variants and discuss their inefficiency in le... 详细信息
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FedRec:Trusted rank-based recommender scheme for service provisioning in federated cloud environment
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Digital Communications and Networks 2023年 第1期9卷 33-46页
作者: Ashwin Verma Pronaya Bhattacharya Umesh Bodkhe Deepti Saraswat Sudeep Tanwar Kapal Dev Department of Computer Science and Engineering Institute of TechnologyNirma UniversityAhmedabadGujarat382481India Department of Institute of Intelligent Systems University of JohannesburgPO Box 524South Africa
The emergence of on-demand service provisioning by Federated Cloud Providers(FCPs)to Cloud Users(CU)has fuelled significant innovations in cloud provisioning *** to the massive traffic,massive CU resource requests are... 详细信息
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Theoretical and Empirical Analysis of Parameter Control Mechanisms in the (1 + (λ, λ)) Genetic Algorithm
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ACM Transactions on Evolutionary Learning and Optimization 2023年 第4期2卷 1–39页
作者: Hevia Fajardo, Mario Alejandro Sudholt, Dirk Department of Computer Science University of Sheffield Sheffield United Kingdom Chair of Algorithms for Intelligent Systems University of Passau Passau Germany
The self-adjusting (1 + (λ, λ)) GA is the best known genetic algorithm for problems with a good fitness-distance correlation as in OneMax. It uses a parameter control mechanism for the parameter λ that governs the ... 详细信息
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