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Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing ,
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Spotting prejudice with nonverbal behaviours:
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2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) ,
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An empirical evaluation of tinyML architectures for Class-I..:
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2023 IEEE 21st International Conference on Industrial Informatics (INDIN) ,
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Anomaly Detection for Hydroelectric Power Plants: a Machine..:
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2023 Forum on Specification & Design Languages (FDL) ,
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VIR2EM: VIrtualization and Remotization for Resilient and E..:
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Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining ,
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Pairwise Fairness in Ranking as a Dissatisfaction Measure:
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2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) ,
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The MICS Project: A Data Science Pipeline for Industry 4.0 ..:
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2023 IEEE 21st International Conference on Industrial Informatics (INDIN) ,
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Predictive Maintenance in the Industry: A Comparative Study..:
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2022 IEEE Conference on Control Technology and Applications (CCTA) ,
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CUAD-Mo: Continuos Unsupervised Anomaly Detection on Machin..:
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2022 IEEE Conference on Control Technology and Applications (CCTA) ,
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Anomaly Detection for the Industrial Internet of Things: an..:
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Equity and Access in Algorithms, Mechanisms, and Optimization ,
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Tackling Documentation Debt: A Survey on Algorithmic Fairne..:
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2022 IEEE 23rd Latin American Test Symposium (LATS) ,
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A Revised Isolation Forest procedure for Anomaly Detection ..:
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Springer Series in Reliability Engineering; Control Charts and Machine Learning for Anomaly Detection in Manufacturing ,
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A Review of Tree-Based Approaches for Anomaly Detection:
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Lecture Notes in Computer Science; Advances in Information Retrieval ,
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Neural Feature Selection for Learning to Rank:
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Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society ,
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Algorithmic Audit of Italian Car Insurance: Evidence of Unf..:
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Communications in Computer and Information Science; Advances in Bias and Fairness in Information Retrieval ,
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