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检索条件"机构=Department of Computer Technology and Computation"
1691 条 记 录,以下是1-10 订阅
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HOOD: Real-Time Human Presence and Out-of-Distribution Detection Using FMCW Radar
IEEE Transactions on Radar Systems
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IEEE Transactions on Radar Systems 2025年 3卷 44-56页
作者: Kahya, Sabri Mustafa Yavuz, Muhammet Sami Steinbach, Eckehard Technical University of Munich Media Technology School of Computation Information and Technology Department of Computer Engineering Munich80333 Germany
Detecting human presence indoors with millimeter-wave frequency-modulated continuous-wave (FMCW) radar faces challenges from both moving and stationary clutters. This work proposes a robust and real-time capable human... 详细信息
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FedNAS: A Distributed Neural Architecture Search  2
FedNAS: A Distributed Neural Architecture Search
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2nd IEEE International Conference on Federated Learning Technologies and Applications, FLTA 2024
作者: Ramírez-Gordillo, Tamai Mora, Higinio Pujol, Francisco A. Maciá-Lillo, Antonio Department of Computer Technology and Computation University of Alicante Alicante Spain
In this paper, we present FedNAS, a distributed neural architecture search framework that integrates Federated Learning (FL) with Efficient Neural Architecture Search (ENAS) algorithm. This novel approach leverages th... 详细信息
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Learning continuous network emerging dynamics from scarce observations via data-adaptive stochastic processes
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Science China(Information Sciences) 2024年 第12期67卷 240-255页
作者: Jiaxu CUI Qipeng WANG Bingyi SUN Jiming LIU Bo YANG College of Computer Science and Technology Jilin University Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Public Computer Education and Research Center Jilin University Department of Computer Science Hong Kong Baptist University
Learning network dynamics from the empirical structure and spatio-temporal observation data is crucial to revealing the interaction mechanisms of complex networks in a wide range of domains. However,most existing meth... 详细信息
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SEOE:an option graph based semantically embedding method for prenatal depression detection
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Frontiers of computer Science 2024年 第6期18卷 245-258页
作者: Xiaosong HAN Mengchen CAO Dong XU Xiaoyue FENG Yanchun LIANG Xiaoduo LANG Renchu GUAN College of Computer Science and Technology Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of EducationJilin UniversityChangchun 130012China Department of Electrical Engineering and Computer Science and Christopher S.Bond Life Sciences Center University of MissouriColumbiaMO 65211USA Department of Computer Science and Technology Zhuhai Laboratory of Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of EducationZhuhai College of Science and TechnologyZhuhai 519041China Jilin Provincial Institute of Population Science and Technology Changchun 130000China
Prenatal depression,which can affect pregnant women’s physical and psychological health and cause postpartum depression,is increasing ***,it is essential to detect prenatal depression early and conduct an attribution... 详细信息
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Enhancing Answer Attribution for Faithful Text Generation with Large Language Models  16
Enhancing Answer Attribution for Faithful Text Generation wi...
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16th International Conference on Knowledge Discovery and Information Retrieval, KDIR 2024 as part of 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2024
作者: Vladika, Juraj Mülln, Luca Matthes, Florian Technical University of Munich School of Computation Information and Technology Department of Computer Science Germany
The increasing popularity of Large Language Models (LLMs) in recent years has changed the way users interact with and pose questions to AI-based conversational systems. An essential aspect for increasing the trustwort... 详细信息
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State Representations as Incentives for Reinforcement Learning Agents: A Sim2Real Analysis on Robotic Grasping
State Representations as Incentives for Reinforcement Learni...
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2024 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2024
作者: Petropoulakis, Panagiotis Graf, Ludwig Malmir, Mohammadhossein Josifovski, Josip Knoll, Alois School of Computation Information and Technology Technical University of Munich Department of Computer Engineering Germany
Choosing an appropriate representation of the environment for the underlying decision-making process of the reinforcement learning agent is not always straightforward. The state representation should be inclusive enou... 详细信息
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A Collocation-based Method for Addressing Challenges in Word-level Metric Differential Privacy  5
A Collocation-based Method for Addressing Challenges in Word...
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5th Workshop on Privacy in Natural Language Processing, PrivateNLP 2024 - Co-located with ACL 2024
作者: Meisenbacher, Stephen Chevli, Maulik Matthes, Florian Technical University of Munich School of Computation Information and Technology Department of Computer Science Garching Germany
Applications of Differential Privacy (DP) in NLP must distinguish between the syntactic level on which a proposed mechanism operates, often taking the form of word-level or document-level privatization. Recently, seve... 详细信息
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Thinking Outside of the Differential Privacy Box: A Case Study in Text Privatization with Language Model Prompting
Thinking Outside of the Differential Privacy Box: A Case Stu...
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2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024
作者: Meisenbacher, Stephen Matthes, Florian Technical University of Munich School of Computation Information and Technology Department of Computer Science Garching Germany
The field of privacy-preserving Natural Language Processing has risen in popularity, particularly at a time when concerns about privacy grow with the proliferation of Large Language Models. One solution consistently a... 详细信息
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A Comparative Analysis of Word-Level Metric Differential Privacy: Benchmarking The Privacy-Utility Trade-off  30
A Comparative Analysis of Word-Level Metric Differential Pri...
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Joint 30th International Conference on computational Linguistics and 14th International Conference on Language Resources and Evaluation, LREC-COLING 2024
作者: Meisenbacher, Stephen Nandakumar, Nihildev Klymenko, Alexandra Matthes, Florian Technical University of Munich TUM School of Computation Information and Technology Department of Computer Science Garching Germany
The application of Differential Privacy to Natural Language Processing techniques has emerged in relevance in recent years, with an increasing number of studies published in established NLP outlets. In particular, the... 详细信息
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On the Integration of Privacy-Enhancing Technologies in the Process of Software Engineering  26
On the Integration of Privacy-Enhancing Technologies in the ...
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26th International Conference on Enterprise Information Systems, ICEIS 2024
作者: Klymenko, Alexandra Meisenbacher, Stephen Favaro, Luca Matthes, Florian Technical University of Munich TUM School of Computation Information and Technology Department of Computer Science Garching Germany
The class of technologies known as Privacy-Enhancing Technologies (PETs) has been receiving rising attention in the academic sphere. In practice, however, the adoption of such technologies remains low. Beyond the actu... 详细信息
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