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  • CHALLENGES IN THE DESIGN OF A MODULAR MULTI-STOREY CLT BUILDING USING IRISH TIMBER

    World Conference on Timber Engineering 2023 (WCTE 2023)

    CHALLENGES IN THE DESIGN OF A MODULAR MULTI-STOREY CLT BUILDING USING IRISH TIMBER

    Hung Quang Phung, Conan O'Ceallaigh, Patrick McGetrick, Annette M. Harte, Rimjhim Kashyap p3618-3624 from World Conference on Timber Engineering (WCTE 2023)
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  • CHALLENGES IN THE TRANSITION TO CIRCULARITY IN MULTI-STOREY WOOD BUILDING CONSTRUCTION – SCANDINAVIAN INDUSTRY PERSPECTIVE

    World Conference on Timber Engineering 2025

    CHALLENGES IN THE TRANSITION TO CIRCULARITY IN MULTI-STOREY WOOD BUILDING CONSTRUCTION – SCANDINAVIAN INDUSTRY PERSPECTIVE

    Jonn Are Myhren, Ambrose Dodoo, Felix Quarcoo p4601-4607 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)
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  • Challenges of Generating Structurally Diverse Graphs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Challenges of Generating Structurally Diverse Graphs

    Mikhail Mironov, Liudmila Prokhorenkova, Fedor Velikonivtsev p57993-58022 from Advances in Neural Information Processing Systems 37
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  • Challenging Common Assumptions in Convex Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Challenging Common Assumptions in Convex Reinforcement Learning

    Piersilvio De Bartolomeis, Riccardo De Santi, Mirco Mutti, Marcello Restelli p4489-4502 from Advances in Neural Information Processing Systems 35
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  • Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models

    Kai-Wei Chang, Hao Cheng, Michel Galley, Jianfeng Gao, Pan Lu, Baolin Peng, Ying Nian Wu, Song-Chun Zhu p43447-43478 from Advances in Neural Information Processing Systems 36
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  • CHAMMI: A benchmark for channel-adaptive models in microscopy imaging

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CHAMMI: A benchmark for channel-adaptive models in microscopy imaging

    Juan C. Caicedo, Zitong Sam Chen, Michael Doron, Nikita Moshkov, Chau Pham, Bryan Plummer, Siqi Wang p19700-19713 from Advances in Neural Information Processing Systems 36
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  • Chanakya: Learning Runtime Decisions for Adaptive Real-Time Perception

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Chanakya: Learning Runtime Decisions for Adaptive Real-Time Perception

    Vaibhav Balloli, Tanuja Ganu, Anurag Ghosh, Akshay Nambi, Aditya Singh p55668-55680 from Advances in Neural Information Processing Systems 36
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  • Change Event Dataset for Discovery from Spatio-Temporal Remote Sensing Imagery

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Change Event Dataset for Discovery from Spatio-Temporal Remote Sensing Imagery

    Kavita Bala, Bharath Hariharan, Utkarsh Mall p27484-27496 from Advances in Neural Information Processing Systems 35
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  • Change point detection and inference in multivariate non-parametric models under mixing conditions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Change point detection and inference in multivariate non-parametric models under mixing conditions

    Carlos Misael Madrid Padilla, Oscar Hernan Madrid Padilla, Daren Wang, Haotian Xu, Yi Yu p21081-21134 from Advances in Neural Information Processing Systems 36
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  • Change-Point Detection for Sparse and Dense Functional Data in General Dimensions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Change-Point Detection for Sparse and Dense Functional Data in General Dimensions

    Carlos Misael Madrid Padilla, Daren Wang, Yi Yu, Zifeng Zhao p37121-37133 from Advances in Neural Information Processing Systems 35
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  • Changes in Non-Cognitive and Affective (NCA) Factors in Engineering and Computing Students: A Longitudinal Study of Mechanical Engineering Students

    Research In Engineering Education Network

    Changes in Non-Cognitive and Affective (NCA) Factors in Engineering and Computing Students: A Longitudinal Study of Mechanical Engineering Students

    Jim Widmann, John Chen, Brian Self, Jocelyn Gee, Michelle Kerfs, Christina Grigorian p325-333 from 9th Research in Engineering Education Symposium and 32nd Australasian Association for Engineering Education Conference (REES AAEE 2021)
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