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Disambiguation of "Riddle, Patricia"

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Tracking Drift Severity in Data Streams.

, , and . Australasian Conference on Artificial Intelligence, volume 9457 of Lecture Notes in Computer Science, page 96-108. Springer, (2015)

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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Steve Riddle

Patricia Lang

Risikoanalyse der Lungenmetastasenresektion unter aktuellen Aspekten der Thoraxchirurgie. Uni Ulm, (2009)

Patricia Tönnessen

Unterschiedliche Regulation von insulinsensitiven Adipokinen bei Schwangerschaften mit normaler und abnormaler plazentarer Funktion. Uni Leipzig, (2009)

Patricia Bischler

Patricia Minke

 

Other publications of authors with the same name

Texture modelling with non-contiguous filters., , and . IVCNZ, page 1-6. IEEE, (2015)Proactive drift detection: Predicting concept drifts in data streams using probabilistic networks., , and . IJCNN, page 780-787. IEEE, (2016)Constraint Optimisation for Robust Image Matching with Inhomogeneous Photometric Variations and Affine Noise., , , and . ACIVS (1), volume 6474 of Lecture Notes in Computer Science, page 476-487. Springer, (2010)Tracking Drift Severity in Data Streams., , and . Australasian Conference on Artificial Intelligence, volume 9457 of Lecture Notes in Computer Science, page 96-108. Springer, (2015)mHUIMiner: A Fast High Utility Itemset Mining Algorithm for Sparse Datasets., , and . PAKDD (2), volume 10235 of Lecture Notes in Computer Science, page 196-207. (2017)An Evolutionary Particle Swarm Optimization algorithm for data clustering., , and . SIS, page 1-6. IEEE, (2008)Texture modelling with nested high-order Markov-Gibbs random fields., , and . Comput. Vis. Image Underst., (2016)Fingerprinting Concepts in Data Streams with Supervised and Unsupervised Meta-Information., , , , , and . ICDE, page 1056-1067. IEEE, (2021)Geographic ensembles of observations using randomised ensembles of autoregression chains: ensemble methods for spatio-temporal time series forecasting of influenza-like illness., , , and . BCB, page 42:1-42:7. ACM, (2022)Using Supervised Pretraining to Improve Generalization of Neural Networks on Binary Classification Problems., , , and . ECML/PKDD (1), volume 11051 of Lecture Notes in Computer Science, page 410-425. Springer, (2018)