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Towards Intelligent Legal Advisors for Document Retrieval and Question-Answering in German Legal Documents.

, , , , and . AIKE, page 29-32. IEEE, (2021)

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Adaptive Dimensionality Reduction for Local Principal Component Analysis., and . ETFA, page 1579-1586. IEEE, (2020)NGPCA: Clustering of high-dimensional and non-stationary data streams., , and . Softw. Impacts, (2024)Advanced Data Analytics Platform for Manufacturing Companies., , , , , , and . ETFA, page 1-8. IEEE, (2021)Towards Intelligent Legal Advisors for Document Retrieval and Question-Answering in German Legal Documents., , , , and . AIKE, page 29-32. IEEE, (2021)Variational Autoencoder based Novelty Detection for Real-World Time Series., , , , and . MSIE, page 1-7. ACM, (2021)Technical Readiness of Prescriptive Analytics Platforms: A Survey., , , , and . FRUCT, page 509-519. IEEE, (2024)Collaborative System for Question Answering in German Case Law Documents., , , , and . PRO-VE, volume 662 of IFIP Advances in Information and Communication Technology, page 303-312. Springer, (2022)Adaptive Dimensionality Adjustment for Online "Principal Component Analysis"., , and . IDEAL (1), volume 11871 of Lecture Notes in Computer Science, page 76-84. Springer, (2019)Adaptive local Principal Component Analysis improves the clustering of high-dimensional data., , and . Pattern Recognit., (February 2024)