Paper

  • Automatic Speech Emotion Recognition Using Machine Learning Algorithm for Human Computer Interaction

    International Astronautical Federation (IAF)

    Automatic Speech Emotion Recognition Using Machine Learning Algorithm for Human Computer Interaction

    Sachin Dev S S, Abhishek D, Brendon George D’Couto p178-184 from Space Bioastronautics, Space Medicine, Life Support Systems
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  • Automatic Stand Collar Pattern Generation System Based on Personalized Customization

    Textile Bioengineering and Informatics Society Limited (TBIS)

    Automatic Stand Collar Pattern Generation System Based on Personalized Customization

    Jing-Jing Zhou, Qing Xu, Zheng-Dong Liu, Xiao-Yi Wang, Qing-Fu Li p622-629 from 16th Textile Bioengineering and Informatics Symposium Proceedings (TBIS 2023)
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  • Automatically Learning Hybrid Digital Twins of Dynamical Systems

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Automatically Learning Hybrid Digital Twins of Dynamical Systems

    Samuel Holt, Tennison Liu, Mihaela van der Schaar p72170-72218 from Advances in Neural Information Processing Systems 37
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  • Automating Data Annotation under Strategic Human Agents: Risks and Potential Solutions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Automating Data Annotation under Strategic Human Agents: Risks and Potential Solutions

    Tian Xie, Xueru Zhang p127436-127482 from Advances in Neural Information Processing Systems 37
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  • Automating Dataset Updates Towards Reliable and Timely Evaluation of Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Automating Dataset Updates Towards Reliable and Timely Evaluation of Large Language Models

    Yushi Bai, Yixin Cao, Zhaojun Ding, Xuanjing Huang, Qianru Sun, Wei Tang, Bo Wang, Shuicheng Yan, Yizhe Yang, Jiahao Ying p17106-17132 from Advances in Neural Information Processing Systems 37
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  • Automating Level 3 Dent Assessment: A Consistent and Scalable Framework for Deterministic and Probabilistic Finite Element Analysis

    Clarion Technical Conferences

    Automating Level 3 Dent Assessment: A Consistent and Scalable Framework for Deterministic and Probabilistic Finite Element Analysis

    Amandeep Virk, Muntaseer Kainat, Chike Okoloekwe, Michael Elkins, Nader Yoosef-Ghodsi, Saheed Akonko p1325-1340 from 38th International Pipeline Pigging and Integrity Management Conference (PPIM 2026)
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  • AUTOMATION ENABLING MULTIPLE UAS AT THE SAME TIME (SAFELY AND LEGALLY)

    Association for Unmanned Vehicle Systems International (AUVSI)

    AUTOMATION ENABLING MULTIPLE UAS AT THE SAME TIME (SAFELY AND LEGALLY)

    W. Ljungren, B. McLaughlin p235-240 from XPONENTIAL 2024
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  • Automation of Acceptance Testing Process of Liquid Rocket Engine Injectors for High Throughput and Cost Effective Launch Vehicle Development

    International Astronautical Federation (IAF)

    Automation of Acceptance Testing Process of Liquid Rocket Engine Injectors for High Throughput and Cost Effective Launch Vehicle Development

    Rafeeque T A p503-511 from IAF Materials and Structures Symposium
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  • Automation of Flight Dynamics Planning for ESA's XMM-Newton

    International Astronautical Federation (IAF)

    Automation of Flight Dynamics Planning for ESA's XMM-Newton

    Gabriele De Canio, Nieves S. Moral, Fernando Marino, Philip Pilgerstorfer, Alastair McDonald, Marcus G. F. Kirsch, Evridiki Ntagiou p167-170 from IAF Space Operations Symposium
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  • AutoMix: Automatically Mixing Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    AutoMix: Automatically Mixing Language Models

    Pranjal Aggarwal, Ankit Anand, Manaal Faruqui, Aditya Gupta, Karthik Kappaganthu, Aman Madaan, Mausam Mausam, Swaroop Mishra, Srividya Pranavi Potharaju, Dheeraj Rajagopal, Shyam Upadhyay, Yiming Yang, Pei Zhou p131000-131034 from Advances in Neural Information Processing Systems 37
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  • AutoML Two-Sample Test

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    AutoML Two-Sample Test

    Simon Buchholz, Jonas M. Kübler, Krikamol Muandet, Bernhard Schölkopf, Vincent Stimper p15929-15941 from Advances in Neural Information Processing Systems 35
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  • AutoMS: Automatic Model Selection for Novelty Detection with Error Rate Control

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    AutoMS: Automatic Model Selection for Novelty Detection with Error Rate Control

    Dejing Dou, Haiyan Jiang, Haojie Ren, Yifan Zhang, Changliang Zou p19917-19929 from Advances in Neural Information Processing Systems 35
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