Paper

  • Identify Then Recommend: Towards Unsupervised Group Recommendation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Identify Then Recommend: Towards Unsupervised Group Recommendation

    Yue Liu, Jian Ma, Tianyuan Yang, Wenliang Zhong, Shihao Zhu p96101-96126 from Advances in Neural Information Processing Systems 37
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  • Identifying and Characterising Personal “styles” on EVA Operations.

    International Astronautical Federation (IAF)

    Identifying and Characterising Personal “styles” on EVA Operations.

    Giuseppe Scavo p1045-1054 from IAF/IAA Space Life Sciences Symposium
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  • Identifying and Characterizing Corrosion Morphologies More Effectively with Tri-Axial MFL Signal Analysis

    Clarion Technical Conferences

    Identifying and Characterizing Corrosion Morphologies More Effectively with Tri-Axial MFL Signal Analysis

    Anthony Tindall, David Classen p905-922 from 37th International Pipeline Pigging and Integrity Management Conference (PPIM 2025)
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  • Identifying and developing the factors necessary for the creation of functional groups

    Research In Engineering Education Network

    Identifying and developing the factors necessary for the creation of functional groups

    Jeremy Lindeck, Tania Machet, Timothy Boye, Eva Cheng, Scott Daniel, Tanvi Bhatia p651-660 from 9th Research in Engineering Education Symposium and 32nd Australasian Association for Engineering Education Conference (REES AAEE 2021)
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  • Identifying and Solving Conditional Image Leakage in Image-to-Video Diffusion Model

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Identifying and Solving Conditional Image Leakage in Image-to-Video Diffusion Model

    Chongxuan Li, Chendong Xiang, Min Zhao, Kaiwen Zheng, Hongzhou Zhu, Jun Zhu p30300-30326 from Advances in Neural Information Processing Systems 37
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  • Identifying Causal Effects Under Functional Dependencies

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Identifying Causal Effects Under Functional Dependencies

    Yizuo Chen, Adnan Darwiche p87013-87041 from Advances in Neural Information Processing Systems 37
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  • Identifying Equivalent Training Dynamics

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Identifying Equivalent Training Dynamics

    Juan Bello-Rivas, Maria Fonoberova, Yannis Kevrekidis, Igor Mezić, Ryan Mohr, William Redman p23603-23629 from Advances in Neural Information Processing Systems 37
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  • Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning

    Dan Braun, Nicholas Goldowsky-Dill, Lee Sharkey, Jordan Taylor p107286-107325 from Advances in Neural Information Processing Systems 37
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  • Identifying General Mechanism Shifts in Linear Causal Representations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Identifying General Mechanism Shifts in Linear Causal Representations

    Bryon Aragam, Kevin Bello, Tianyu Chen, Francesco Locatello, Pradeep Ravikumar p42405-42429 from Advances in Neural Information Processing Systems 37
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  • Identifying Good Directions to Escape the NTK Regime and Efficiently Learn Low-Degree Plus Sparse Polynomials

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Identifying Good Directions to Escape the NTK Regime and Efficiently Learn Low-Degree Plus Sparse Polynomials

    Yu Bai, Jason Lee, Eshaan Nichani p14568-14581 from Advances in Neural Information Processing Systems 35
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  • IDENTIFYING IMPROVEMENT STRATEGIES FOR THE DIESEL REBATE PROCESS IN SOUTH AFRICAN MINES

    Southern African Institute for Industrial Engineering (SAIIE)

    IDENTIFYING IMPROVEMENT STRATEGIES FOR THE DIESEL REBATE PROCESS IN SOUTH AFRICAN MINES

    N.M. Mudanalwo, A.G.S. Gous, C.S.L. Schutte, J.H. Van Laar p686-705 from 34th Southern African Institute for Industrial Engineering Conference 2024 (SAIIE34)
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  • Identifying Irregular and Erroneous Chemical Composition Data from In Situ Nondestructive Testing

    Clarion Technical Conferences

    Identifying Irregular and Erroneous Chemical Composition Data from In Situ Nondestructive Testing

    Janille Maragh, Peter Martin, Joel Anderson, Jonathan Gibbs, Jeffrey Kornuta, Peter Veloo p599-610 from 35th International Pipeline Pigging and Integrity Management Conference (PPIM 2023)
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