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2023 IEEE International Conference on Big Data (BigData) ,
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Stabilizing Adversarial Training for Generative Networks:
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2023 IEEE International Conference on Big Data (BigData) ,
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Multi-State Brain Network Discovery:
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2022 IEEE International Conference on Data Mining (ICDM) ,
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Class-Specific Explainability for Deep Time Series Classifi..:
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Proceedings of the 31st ACM International Conference on Information & Knowledge Management ,
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Robust Recurrent Classifier Chains for Multi-Label Learning..:
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2022 ACM Conference on Fairness, Accountability, and Transparency ,
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The Road to Explainability is Paved with Bias: Measuring th..:
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Proceedings of the 31st ACM International Conference on Information & Knowledge Management ,
9
Stop&Hop: Early Classification of Irregular Time Series:
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Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining ,
10
Energy-Efficient Models for High-Dimensional Spike Train Cl..:
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Proceedings of the 30th ACM International Conference on Information & Knowledge Management ,
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Learning Saliency Maps to Explain Deep Time Series Classifi..:
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Proceedings of the 29th ACM International Conference on Information & Knowledge Management ,
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Learning to Selectively Update State Neurons in Recurrent N..:
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Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining ,
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Recurrent Halting Chain for Early Multi-label Classificatio:
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Biomedical Engineering Systems and Technologies; Communications in Computer and Information Science ,
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Detecting MRSA Infections by Fusing Structured and Unstruct..:
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2019 IEEE International Conference on Big Data (Big Data) ,
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Learning Temporal Relevance in Longitudinal Medical Notes:
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