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Novelty-Guided Reinforcement Learning via Encoded Behaviors., , , and . IJCNN, page 1-8. IEEE, (2020)From Imbalanced Classification to Supervised Outlier Detection Problems: Adversarially Trained Auto Encoders., , , , , and . ICANN (1), volume 12396 of Lecture Notes in Computer Science, page 27-38. Springer, (2020)Bounding open space risk with decoupling autoencoders in open set recognition., , , , and . Int. J. Data Sci. Anal., 14 (4): 351-373 (2022)Tiefe neuronale Netze., , , and . Handbuch der Künstlichen Intelligenz, De Gruyter, (2020)Solving Subset Sum Problems using Quantum Inspired Optimization Algorithms with Applications in Auditing and Financial Data Analysis., , , , and . ICMLA, page 903-908. IEEE, (2022)Decoupling Autoencoders for Robust One-vs-Rest Classification., , , , and . DSAA, page 1-10. IEEE, (2021)Street-Map Based Validation of Semantic Segmentation in Autonomous Driving., , , , , and . ICPR, page 10203-10210. IEEE, (2020)A distributed machine learning framework., and . CDC, page 2546-2551. IEEE, (2009)Matrix and Tensor Factorization Based Game Content Recommender Systems: A Bottom-Up Architecture and a Comparative Online Evaluation., , , and . AIIDE, page 102-108. AAAI Press, (2018)RatVec: A General Approach for Low-dimensional Distributed Vector Representations via Rational Kernels., , , , and . LWDA, volume 2454 of CEUR Workshop Proceedings, page 74-78. CEUR-WS.org, (2019)