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检索条件"任意字段=11th International Symposium on From Data to Models and Back, DataMod 2023"
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11th international symposium on from data to models and back, datamod 2023
11th International Symposium on From Data to Models and Back...
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11th international symposium on from data to models and back, datamod 2023
the proceedings contain 8 papers. the special focus in this conference is on from data to models and back. the topics include: Extracting Cyber threat Intelligence from Social Media with Case Studies in ...
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Integrated data Representation and Formal Analysis for Human and In Silico Experimentation in Cognitive Psychology  11th
Integrated Data Representation and Formal Analysis for Hum...
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11th international symposium on from data to models and back, datamod 2023
作者: Cerone, Antonio Pluck, Graham Department of Computer Science School of Engineering and Digital Sciences Nazarbayev University Astana Kazakhstan Faculty of Psychology Chulalongkorn University Bangkok Thailand
this paper presents a novel framework aimed at enhancing the experimental methodology within cognitive psychology, integrating both informal and formal components to accommodate varied reasoning approaches. the framew... 详细信息
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Modelling and Verification of an Application for Managing Sensitive Health data  11th
Modelling and Verification of an Application for Managin...
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11th international symposium on from data to models and back, datamod 2023
作者: Cuci, Almo Ozeer, Umar Salaün, Gwen University of Grenoble Alpes CNRS Grenoble INP Inria LIG Grenoble38000 France Euris Cloud Santé Paris France
the digitisation of personal health information (PHI) through electronic health record (EHR) is now widely adopted due to their efficiency in terms of cost, storage, processing, and the subsequent quali... 详细信息
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Evaluating Large Language models and Prompt Variants on the Task of Detecting Cease and Desist Violations in German Online Product Descriptions  11th
Evaluating Large Language Models and Prompt Variants on th...
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11th international symposium on from data to models and back, datamod 2023
作者: Lambert, Marian Döring, Nico Schuster, thomas Schmitz, Norbert XPACE GmbH Blücherstr. 32 Pforzheim75177 Germany Pforzheim University Tiefenbronner Street 65 Pforzheim75175 Germany
this paper compares different large language models (LLMs) on the task of detecting violations of cease and desist declarations in German online product descriptions as part of the KIVEDU project. We evaluate two... 详细信息
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Dependence Analysis of Indian Energy Sector Using Regular Vine Copula and Information Transfer Entropy  11th
Dependence Analysis of Indian Energy Sector Using Regular V...
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11th international symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2025
作者: Kumar, Pankaj Vijay, Vivek Indian Institute of Technology Jodhpur Rajasthan Jodhpur342030 India
In this paper, we analyse the dependence of the energy sector stocks using the vine copula models and understand the information transfer between them using the entropy method. An information spillover network is cons... 详细信息
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data Augmentation with Pseudo-Infrared Night-Vision Image Conversion for Improved Nighttime Object Detection  11
Data Augmentation with Pseudo-Infrared Night-Vision Image Co...
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11th international symposium on Computing and Networking Workshops, CANDARW 2023
作者: Ishizu, Ryoma Kitakaze, Hironori Matsumura, Ryo Oshima College National Insutitute of Technology Yamaguchi Japan Shunan University Yamaguchi Japan
this paper presents a novel data augmentation method with pseudo-infrared night-vision image conversion for RGB images captured under daylight conditions. Our proposed data augmentation method is to apply gamma correc... 详细信息
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SEM: A Simple Yet Efficient Model-Agnostic Local Training Mechanism to Tackle data Sparsity and Scarcity in Federated Learning  11
SEM: A Simple Yet Efficient Model-Agnostic Local Training Me...
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11th international symposium on Computing and Networking, CANDAR 2023
作者: Pham, Quang Ha Nguyen, Nang Hung Nguyen, thanh Hung Pham, Huy Hieu Nguyen, Phi Le Nguyen, Truong thao Hanoi University of Science and Technology School of Information and Communication Technology Hanoi Viet Nam VinUniversity College of Engineering Computer Science and VinUni-Illinois Smart Health Center Viet Nam Japan
Recent years have witnessed the emergence of Feder-Ated Learning (FL) as a viable learning paradigm that permits the training of models without revealing sensitive data. FL systems typically consist of numerous client... 详细信息
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WHERE TO DIFFUSE, HOW TO DIFFUSE, AND HOW TO GET back: AUTOMATED LEARNING FOR MULTIVARIATE DIFFUSIONS  11
WHERE TO DIFFUSE, HOW TO DIFFUSE, AND HOW TO GET BACK: AUTOM...
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11th international Conference on Learning Representations, ICLR 2023
作者: Singhal, Raghav Goldstein, Mark Ranganath, Rajesh Courant Institute of Mathematical Sciences New York University United States Center for Data Science New York University United States
Diffusion-based generative models (DBGMs) perturb data to a target noise distribution and reverse this process to generate samples. the choice of noising process, or inference diffusion process, affects both likelihoo...
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A novel approach for selecting the participants to collect data in participatory sensing
A novel approach for selecting the participants to collect d...
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IEEE/INFORMATION PROCESSING SOCIETY JAPAN international symposium on Applications and the Internet
作者: Pham, Hong Nhat Sim, back Sun Youn, Hee Yong School of Information and Communication Engineering Sungkyunkwan University 440-746 Suwon Korea Republic of
this paper works on the participatory sensing in the area of sensor network. One of the most important challenges in participatory sensing is selecting the participants to collect their sensed data to monitor the envi... 详细信息
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Improving Khmer-Vietnamese Machine Translation with data Augmentation methods  22
Improving Khmer-Vietnamese Machine Translation with Data Aug...
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11th international symposium on Information and Communication Technology, SoICT 2022
作者: Pham Van, Hanh Le thanh, Huong School of Information and Communication Technology Hanoi University of Science and Technology Viet Nam
Machine translation has achieved significant improvements with the development of neural models. However, such approaches require large-scale parallel data, which are hard to collect for low-resource language pairs. T... 详细信息
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