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Exploiting Prototypical Explanations for Undersampling Imbalanced Datasets., , , , , and . ICMLA, page 1449-1454. IEEE, (2022)Basin Clustering of Turkey by Use of Monthly Stream-Flow Data., , and . ICMLA, page 1169-1174. IEEE, (2015)A Comparison of Pre-Trained Language Models for Multi-Class Text Classification in the Financial Domain., , , , , , and . WWW (Companion Volume), page 260-268. ACM / IW3C2, (2021)Improved Wind Power Forecasting Using Combination Methods., , , , , , and . ICMLA, page 1142-1147. IEEE, (2015)Real-time Lexicon-based sentiment analysis experiments on Twitter with a mild (more information, less data) approach., , , and . IEEE BigData, page 1892-1897. IEEE Computer Society, (2017)Semi-Automatic Construction of a Domain Ontology for Wind Energy Using Wikipedia Articles., and . CoRR, (2014)Towards Refined Classifications Driven by SHAP Explanations., , , , , , , , and . CD-MAKE, volume 13480 of Lecture Notes in Computer Science, page 68-81. Springer, (2022)Challenges Towards Production-Ready Explainable Machine Learning., , , , and . OpML, USENIX Association, (2020)Short-Term Electricity Consumption Forecast Using Datasets of Various Granularities., , , , , , and . DARE@PKDD/ECML, volume 11325 of Lecture Notes in Computer Science, page 116-126. Springer, (2018)Twitter Sentiment Analysis Experiments Using Word Embeddings on Datasets of Various Scales., , and . NLDB, volume 10859 of Lecture Notes in Computer Science, page 40-47. Springer, (2018)