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Assessing information quality of e-learning systems: a web mining approach.

, , and . Comput. Hum. Behav., 27 (2): 862-873 (2011)

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Using Pareto points for model identification in predictive toxicology., , and . J. Cheminformatics, (2013)The Importance of Scaling in Data Mining for Toxicity Prediction., , , and . Journal of Chemical Information and Computer Sciences, 42 (5): 1250-1255 (2002)Combining Classifiers of Pesticides Toxicity through a Neuro-fuzzy Approach., , , and . Multiple Classifier Systems, volume 2364 of Lecture Notes in Computer Science, page 293-303. Springer, (2002)Integration strategies for toxicity data from an empirical perspective., and . UKCI, page 1-8. IEEE, (2014)Toxicity risk assessment from heterogeneous uncertain data with possibility-probability distribution., and . FUZZ-IEEE, IEEE, (2013)Deep Quantile Regression for Unsupervised Anomaly Detection in Time-Series., and . SN Comput. Sci., 2 (6): 475 (2021)Quantum ReLU activation for Convolutional Neural Networks to improve diagnosis of Parkinson's disease and COVID-19., , , and . Expert Syst. Appl., (2022)Engineering Data- & Model-Driven Applications: EDMA-2017 special issue editorial., , and . Expert Syst. J. Knowl. Eng., (2021)Towards a Data Quality Framework for Heterogeneous Data., , , and . iThings/GreenCom/CPSCom/SmartData, page 155-162. IEEE Computer Society, (2017)Refinement of Clustering Solutions Using a Multi-label Voting Algorithm for Neuro-fuzzy Ensembles., , and . ICNC (3), volume 3612 of Lecture Notes in Computer Science, page 1300-1303. Springer, (2005)