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Binarized Neural Network for Single Image Super Resolution

Computer Vision - ECCV 2020, 2020, Vol.12349, p.91-107

2020

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Multimodal Brain Image Analysis: Third International Workshop, MBIA 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013, Proceedings

1, 2013

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Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy: 4th International Workshop, MBIA 2019, and 7th International Workshop, MFCA 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings

1st ed. 2019., 2019

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RCPM: A Rule-Based Configurable Process Mining Method

Computer Supported Cooperative Work and Social Computing, p.422-436

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Disentangled Differentiable Network Pruning

Computer Vision - ECCV 2022, 2022, Vol.13671, p.328-345

2022

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Interpretations Steered Network Pruning via Amortized Inferred Saliency Maps

Computer Vision - ECCV 2022, 2022, Vol.13681, p.278-296

2022

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Recover Fair Deep Classification Models via Altering Pre-trained Structure

Computer Vision - ECCV 2022, 2022, Vol.13673, p.481-498

2022

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Structured Sparse Low-Rank Regression Model for Brain-Wide and Genome-Wide Associations

Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016-10, Vol.9900, p.344-352

2016

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Bidirectional Mapping with Contrastive Learning on Multimodal Neuroimaging Data

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023, p.138-148

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Impacts of Peer Identity and Peer Relationship on Online Brand Community Identification and Value Co-creation—A Structured Abstract

Creating Marketing Magic and Innovative Future Marketing Trends, p.1143-1146

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Member Lock-In and Knowledge Break-Out in SNS Groups: Integrating the “Pull-In,” “Push-Back,” and “Mooring” Effects: An Abstract

Finding New Ways to Engage and Satisfy Global Customers, 2019, p.941-941

2019

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Prediction of Memory Impairment with MRI Data: A Longitudinal Study of Alzheimer's Disease

Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016, Vol.9900, p.273-281

2016

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TRADEOFF BETWEEN PUSH AND PULL STRATEGY: THE MODERATING ROLE OF BRAND AWARENESS

Marketing, Technology and Customer Commitment in the New Economy, 2015, p.259-264

Spotts, Harlan E

2015

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New Multi-task Learning Model to Predict Alzheimer's Disease Cognitive Assessment

Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016, Vol.9900, p.317-325

2016

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Computing the Line-Constrained k-center in the Plane for Small k

Algorithmic Aspects in Information and Management, 2016, Vol.9778, p.197-208

2016

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Learning Shape-Driven Segmentation Based on Neural Network and Sparse Reconstruction Toward Automated Cell Analysis of Cervical Smears

Neural Information Processing, 2015, Vol.9489, p.390-400

2015

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Longitudinal Genotype-Phenotype Association Study via Temporal Structure Auto-learning Predictive Model

Research in Computational Molecular Biology, 2017, Vol.10229, p.287-302

Sahinalp, S. Cenk

2017

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BRAND COMMUNITY PARTICIPATION

Proceedings of the 2009 Academy of Marketing Science (AMS) Annual Conference, 2015, p.97-97

Robinson, Leroy, Jr

2015

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Intelligent Fault Diagnosis and Accommodation Control

1st edition., 2020

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Cooperation Issue in BIM Application in China and Its Solution

Proceedings of the 6th International Asia Conference on Industrial Engineering and Management Innovation, p.341-347

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Applied Predictive Control

1, 2001

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Mixture Probabilistic Principal Geodesic Analysis

Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy, 2019, Vol.11846

2019

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CU-Net: Cascaded U-Net with Loss Weighted Sampling for Brain Tumor Segmentation

Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy, 2019, Vol.11846

2019

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Multimodal Brain Tumor Segmentation Using Encoder-Decoder with Hierarchical Separable Convolution

Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy, 2019, Vol.11846

2019

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Biological Knowledge Guided Deep Neural Network for Brain Genotype-Phenotype Association Study

Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy, 2019, Vol.11846

2019

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Binarized Neural Network for Single Image Super Resolution

Multimodal Brain Image Analysis: Third International Workshop, MBIA 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013, Proceedings

Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy: 4th International Workshop, MBIA 2019, and 7th International Workshop, MFCA 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings

RCPM: A Rule-Based Configurable Process Mining Method

Disentangled Differentiable Network Pruning

Interpretations Steered Network Pruning via Amortized Inferred Saliency Maps

Recover Fair Deep Classification Models via Altering Pre-trained Structure

Structured Sparse Low-Rank Regression Model for Brain-Wide and Genome-Wide Associations

Bidirectional Mapping with Contrastive Learning on Multimodal Neuroimaging Data

Impacts of Peer Identity and Peer Relationship on Online Brand Community Identification and Value Co-creation—A Structured Abstract

Member Lock-In and Knowledge Break-Out in SNS Groups: Integrating the “Pull-In,” “Push-Back,” and “Mooring” Effects: An Abstract

Prediction of Memory Impairment with MRI Data: A Longitudinal Study of Alzheimer's Disease

TRADEOFF BETWEEN PUSH AND PULL STRATEGY: THE MODERATING ROLE OF BRAND AWARENESS

New Multi-task Learning Model to Predict Alzheimer's Disease Cognitive Assessment

Computing the Line-Constrained k-center in the Plane for Small k

Learning Shape-Driven Segmentation Based on Neural Network and Sparse Reconstruction Toward Automated Cell Analysis of Cervical Smears

Longitudinal Genotype-Phenotype Association Study via Temporal Structure Auto-learning Predictive Model

BRAND COMMUNITY PARTICIPATION

Intelligent Fault Diagnosis and Accommodation Control

Cooperation Issue in BIM Application in China and Its Solution

Applied Predictive Control

Mixture Probabilistic Principal Geodesic Analysis

CU-Net: Cascaded U-Net with Loss Weighted Sampling for Brain Tumor Segmentation

Multimodal Brain Tumor Segmentation Using Encoder-Decoder with Hierarchical Separable Convolution

Biological Knowledge Guided Deep Neural Network for Brain Genotype-Phenotype Association Study

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