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World Conference on Timber Engineering 2023 (WCTE 2023)

ADDITIVE MANUFACTURING OF WOOD COMPOSITE PARTS BY INDIVIDUAL LAYER FABRICATION - THE PRODUCTION PROCESS AND RESPECTIVE MACHINERY

Birger Buschmann, Daniel Talke, Klaudius Henke, Carsten Asshoff, Frauke Bunzel, Bettina Saile p629-637 from World Conference on Timber Engineering (WCTE 2023)

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Additive MIL: Intrinsically Interpretable Multiple Instance Learning for Pathology

Syed Ashar Javed, Dinkar Juyal, Harshith Padigela, Aaditya Prakash, Amaro Taylor-Weiner, Limin Yu p20689-20702 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Addressing Asynchronicity in Clinical Multimodal Fusion via Individualized Chest X-ray Generation

William Cheung, Chen Liu, Jing Qin, Wenfang Yao, Kejing Yin p29001-29028 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Addressing Bias in Online Selection with Limited Budget of Comparisons

Ziyad Benomar, Evgenii Chzhen, Vianney Perchet, Nicolas Schreuder p11345-11391 from Advances in Neural Information Processing Systems 37

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World Conference on Timber Engineering 2025

ADDRESSING CHALLENGES IN MANUFACTURING IRREGULAR WOODEN POLES: A PRACTICAL EXPLORATION ON ACCURACY, EFFICIENCY, AND COST

Harrison Huang, Shan Su, Hui Zhan p4328-4337 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Addressing Hidden Confounding with Heterogeneous Observational Datasets for Recommendation

Haoxuan Li, Yongqiang Tang, Yanghao Xiao, Wensheng Zhang p130358-130383 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Addressing Leakage in Concept Bottleneck Models

Finale Doshi-Velez, Marton Havasi, Sonali Parbhoo p23386-23397 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Addressing Negative Transfer in Diffusion Models

Seungtaek Choi, Hyojun Go, Kim, Seunghyun Lee, Yunsung Lee, Hyeongdon Moon, Shinhyeok Oh p27199-27222 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Addressing Resource Scarcity Across Sign Languages with Multilingual Pretraining and Unified-Vocabulary Datasets

Mitesh Khapra, Pratyush Kumar, Manideep Ladi, Gokul NC, Sumit Negi, Prem Selvaraj p36202-36215 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Addressing Spatial-Temporal Heterogeneity: General Mixed Time Series Analysis via Latent Continuity Recovery and Alignment

Jiawei Chen, Chunhui Zhao p17910-17946 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Addressing Spectral Bias of Deep Neural Networks by Multi-Grade Deep Learning

Ronglong Fang, Yuesheng Xu p114122-114146 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Addressing the speed-accuracy simulation trade-off for adaptive spiking neurons

Nicol S Harper, Andrew King, Luke Taylor p59360-59374 from Advances in Neural Information Processing Systems 36

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Paper

ADDITIVE MANUFACTURING OF WOOD COMPOSITE PARTS BY INDIVIDUAL LAYER FABRICATION - THE PRODUCTION PROCESS AND RESPECTIVE MACHINERY

Additive MIL: Intrinsically Interpretable Multiple Instance Learning for Pathology

Addressing Asynchronicity in Clinical Multimodal Fusion via Individualized Chest X-ray Generation

Addressing Bias in Online Selection with Limited Budget of Comparisons

ADDRESSING CHALLENGES IN MANUFACTURING IRREGULAR WOODEN POLES: A PRACTICAL EXPLORATION ON ACCURACY, EFFICIENCY, AND COST

Addressing Hidden Confounding with Heterogeneous Observational Datasets for Recommendation

Addressing Leakage in Concept Bottleneck Models

Addressing Negative Transfer in Diffusion Models

Addressing Resource Scarcity Across Sign Languages with Multilingual Pretraining and Unified-Vocabulary Datasets

Addressing Spatial-Temporal Heterogeneity: General Mixed Time Series Analysis via Latent Continuity Recovery and Alignment

Addressing Spectral Bias of Deep Neural Networks by Multi-Grade Deep Learning

Addressing the speed-accuracy simulation trade-off for adaptive spiking neurons

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