From concept drift to model degradation: An overview on performance-aware drift detectors von Bayram, Firas, Ahmed, Bestoun S., Kassler, Andreas

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DA-LSTM: A dynamic drift-adaptive learning framework for interval load forecasting with LSTM networks von Bayram, Firas, Aupke, Phil, Ahmed, Bestoun S., Kassler, Andreas, Theocharis, Andreas, Forsman, Jonas

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Towards Robust and Adaptive Machine Learning: A Fresh Perspective on Evaluation and Adaptation Methodologies in Non-Stationary Environments von Bayram, Firas

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A domain-region based evaluation of ML performance robustness to covariate shift von Bayram, Firas, Ahmed, Bestoun S.

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AIDA—A holistic AI-driven networking and processing framework for industrial IoT applications von Chahed, Hamza, Usman, Muhammad, Chatterjee, Ayan, Bayram, Firas, Chaudhary, Rajat, Brunstrom, Anna, Taheri, Javid, Ahmed, Bestoun S., Kassler, Andreas

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Predicting Tennis Match Outcomes with Network Analysis and Machine Learning von Bayram, Firas, Garbarino, Davide, Barla, Annalisa

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A Domain-Region Based Evaluation of ML Performance Robustness to Covariate Shift von Bayram, Firas, Ahmed, Bestoun S

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Adaptive Data Quality Scoring Operations Framework using Drift-Aware Mechanism for Industrial Applications von Bayram, Firas, Ahmed, Bestoun S, Hallin, Erik

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Towards Trustworthy Machine Learning in Production: An Overview of the Robustness in MLOps Approach von Bayram, Firas, Ahmed, Bestoun S

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From Concept Drift to Model Degradation: An Overview on Performance-Aware Drift Detectors von Bayram, Firas, Ahmed, Bestoun S, Kassler, Andreas

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A Drift Handling Approach for Self-Adaptive ML Software in Scalable Industrial Processes von Bayram, Firas, Ahmed, Bestoun S., Hallin, ERIK, Engman, Anton

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A Drift Handling Approach for Self-Adaptive ML Software in Scalable Industrial Processes von Bayram, Firas, Ahmed, Bestoun S, Hallin, Erik, Engman, Anton

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A Domain-Region Based Evaluation of ML Performance Robustness to Covariate Shift von Bayram, Firas, Ahmed, Bestoun S

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A Drift Handling Approach for Self-Adaptive ML Software in Scalable Industrial Processes von Bayram, Firas, Ahmed, Bestoun S, Hallin, Erik, Engman, Anton

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DA-LSTM: A Dynamic Drift-Adaptive Learning Framework for Interval Load Forecasting with LSTM Networks von Bayram, Firas, Aupke, Phil, Ahmed, Bestoun S, Kassler, Andreas, Theocharis, Andreas, sman, Jonas

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Navigating treatment options for sacral spine lymphoma: A medical journey von Msheik, Ali, Saad, Firas, Saad, Wajih A., Al Mokdad, Zeinab, Tarhini, Charif, Bayram, Mohamad

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Navigating treatment options for sacral spine lymphoma: A medical journey von Msheik, Ali, Saad, Firas, Saad, Wajih A, Al Mokdad, Zeinab, Tarhini, Charif, Bayram, Mohamad

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