Variation-based Cause Effect Identification von Salem, Mohamed Amine ben, Barsim, Karim Said, Yang, Bin

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On the Feasibility of Generic Deep Disaggregation for Single-Load Extraction von Barsim, Karim Said, Yang, Bin

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METHOD FOR DETERMINING THE PARTICLE LOADING OF A PARTICLE FILTER, IN PARTICULAR FOR USE IN AN EXHAUST AFTER-TREATMENT DEVICE FOR A COMBUSTION ENGINE von Barsim, Karim Said Mahmoud, Guersun, Gonca, Alt, Benedikt

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SENSOR MEASUREMENT ANOMALY DETECTION von Barsim, Karim Said Mahmoud, BEN SALEM, Mohamed Amine

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Neural Network Ensembles to Real-time Identification of Plug-level Appliance Measurements von Barsim, Karim Said, Mauch, Lukas, Yang, Bin

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Selective Sampling and Mixture Models in Generative Adversarial Networks von Barsim, Karim Said, Yang, Lirong, Yang, Bin

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GENERATING VERIFIABLY REALISTIC MEASUREMENT DATA von Barsim, Karim Said Mahmoud, Kandemir, Melih

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GENERATING VERIFIABLY REALISTIC MEASUREMENT DATA von Barsim, Karim Said Mahmoud, Kandemir, Melih

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Variation-based Cause Effect Identification von ben Salem, Mohamed Amine, Karim Said Barsim, Yang, Bin

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Device and method for generating a compressed network from a trained neural network von Barsim, Karim Said Mahmoud, Peters, Jorn, Welling, Max, Kandemir, Melih, Hoogeboom, Emiel

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METHOD FOR VALIDATING OR VERIFYING A TECHNICAL SYSTEM von Barsim, Karim Said Mahmoud, Patel, Kanil, Schiegg, Martin, Reeb, David, Gerwinn, Sebastian

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METHOD FOR VALIDATING OR VERIFYING A TECHNICAL SYSTEM von Barsim, Karim Said Mahmoud, Patel, Kanil, Schiegg, Martin, Reeb, David, Gerwinn, Sebastian

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METHOD FOR VALIDATING OR VERIFYING A TECHNICAL SYSTEM von Barsim, Karim Said Mahmoud, Patel, Kanil, Schiegg, Martin, Gerwinn, Sebastian, Reeb, Davi

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METHOD FOR VALIDATING OR VERIFYING A TECHNICAL SYSTEM von Barsim, Karim Said Mahmoud, Schiegg, Martin, Patel, Kanil, Reeb, David, Gerwinn, Sebastian

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Multi-level Attention Model for Weakly Supervised Audio Classification von Yu, Changsong, Barsim, Karim Said, Kong, Qiuqiang, Yang, Bin

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METHOD FOR VALIDATING OR VERIFYING A TECHNICAL SYSTEM von Barsim, Karim Said Mahmoud, Patel, Kanil, Reeb, David, Kandemir, Melih, Gerwinn, Sebastian

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METHOD FOR VALIDATING OR VERIFYING A TECHNICAL SYSTEM von Barsim, Karim Said Mahmoud, Patel, Kanil, Reeb, David, Kandemir, Melih, Gerwinn, Sebastian

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On the Feasibility of Generic Deep Disaggregation for Single-Load Extraction von Karim Said Barsim, Yang, Bin

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Neural Network Ensembles to Real-time Identification of Plug-level Appliance Measurements von Karim Said Barsim, Mauch, Lukas, Yang, Bin

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Selective Sampling and Mixture Models in Generative Adversarial Networks von Karim Said Barsim, Yang, Lirong, Yang, Bin

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