Rajkumar Ramamurthy
Title
Cited by
Cited by
Year
Informed Machine Learning--A Taxonomy and Survey of Integrating Knowledge into Learning Systems
L von Rueden, S Mayer, K Beckh, B Georgiev, S Giesselbach, R Heese, ...
arXiv preprint arXiv:1903.12394, 2019
542019
Using Echo State Networks for Cryptography
R Ramamurthy, C Bauckhage, K Buza, S Wrobel
International Conference on Artificial Neural Networks, 663-671, 2017
122017
Leveraging Domain Knowledge for Reinforcement Learning using MMC architectures
R Ramamurthy, C Bauckhage, R Sifa, J Schücker, S Wrobel
International Conference on Artificial Neural Networks, 595-607, 2019
92019
Matrix-and Tensor Factorization for Game Content Recommendation
R Sifa, R Yawar, R Ramamurthy, C Bauckhage, K Kersting
KI-Künstliche Intelligenz 34 (1), 57-67, 2020
82020
Towards Contradiction Detection in German: a translation-driven approach
R Sifa, M Pielka, R Ramamurthy, A Ladi, L Hillebrand, C Bauckhage
2019 IEEE Symposium Series on Computational Intelligence (SSCI), 2497-2505, 2019
62019
Towards Automated Auditing with Machine Learning
R Sifa, A Ladi, M Pielka, R Ramamurthy, L Hillebrand, B Kirsch, D Biesner, ...
Proceedings of the ACM Symposium on Document Engineering 2019, 1-4, 2019
62019
Echo State Networks for Named Entity Recognition
R Ramamurthy, R Stenzel, R Sifa, A Ladi, C Bauckhage
International Conference on Artificial Neural Networks, 110-120, 2019
62019
Policy learning using SPSA
R Ramamurthy, C Bauckhage, R Sifa, S Wrobel
International Conference on Artificial Neural Networks, 3-12, 2018
52018
NLPGym--A toolkit for evaluating RL agents on Natural Language Processing Tasks
R Ramamurthy, R Sifa, C Bauckhage
arXiv preprint arXiv:2011.08272, 2020
12020
From Imbalanced Classification to Supervised Outlier Detection Problems: Adversarially Trained Auto Encoders
M Lübbering, R Ramamurthy, M Gebauer, T Bell, R Sifa, C Bauckhage
International Conference on Artificial Neural Networks, 27-38, 2020
12020
Hopfield Networks for Vector Quantization
C Bauckhage, R Ramamurthy, R Sifa
International Conference on Artificial Neural Networks, 192-203, 2020
12020
Novelty-guided Reinforcement Learning via Encoded Behaviors
R Ramamurthy, R Sifa, M Lübbering, C Bauckhage
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
12020
Leveraging Contextual Text Representations for Anonymizing German Financial Documents
D Biesner, R Ramamurthy, M Lübbering, B Fürst, H Ismail, L Hillebrand, ...
12020
A Community Detection based approach for Exploring Patterns in Player Reviews
M Pielka, R Sifa, R Ramamurthy, C Ojeda, C Bauckhage
Proceedings of SAI Intelligent Systems Conference, 553-565, 2019
12019
Matrix and tensor factorization based game content recommender systems: a bottom-up architecture and a comparative online evaluation
R Sifa, R Yawar, R Ramamurthy, C Bauckhage
Fourteenth Artificial Intelligence and Interactive Digital Entertainment …, 2018
12018
ALiBERT: Improved Automated List Inspection (ALI) with BERT
R Ramamurthy, M Pielka, R Stenzel, C Bauckhage, R Sifa, TD Khameneh, ...
Proceedings of the 21st ACM Symposium on Document Engineering, 1-4, 2021
2021
Tackling Contradiction Detection in German Using Machine Translation and End-to-End Recurrent Neural Networks
M Pielka, R Sifa, LP Hillebrand, D Biesner, R Ramamurthy, A Ladi, ...
2020 25th International Conference on Pattern Recognition (ICPR), 6696-6701, 2021
2021
Supervised Autoencoder Variants for End to End Anomaly Detection
M Lübbering, M Gebauer, R Ramamurthy, R Sifa, C Bauckhage
Pattern Recognition. ICPR International Workshops and Challenges: Virtual …, 2021
2021
Fraunhofer IAIS at FinCausal 2020, Tasks 1 & 2: Using Ensemble Methods and Sequence Tagging to Detect Causality in Financial Documents
M Pielka, R Ramamurthy, A Ladi, E Brito, C Chapman, P Mayer, R Sifa
Proceedings of the 1st Joint Workshop on Financial Narrative Processing and …, 2020
2020
Guided Reinforcement Learning via Sequence Learning
R Ramamurthy, R Sifa, M Lübbering, C Bauckhage
International Conference on Artificial Neural Networks, 335-345, 2020
2020
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