Rajkumar Ramamurthy

Computer Science · Physical Sciences

10h-index1.0kcitations29works0.02yr avg
OpenAlex↗Google Scholar↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Topic Modeling(9), Advanced Text Analysis Techniques(7), Natural Language Processing Techniques(6), Anomaly Detection Techniques and Applications(5), Neural Networks and Applications(4)

Publications29 total

Learning to Generate Better Than Your LLM
arXiv (Cornell University)·2023· 3 citedOpen Access
Utilizing Representation Learning for Robust Text Classification Under Datasetshift
Fraunhofer-Publica (Fraunhofer-Gesellschaft)·2022· 3 citedOpen Access
Zero-Shot Text Matching for Automated Auditing using Sentence Transformers
2022· 5 cited
Zero-Shot Text Matching for Automated Auditing using Sentence Transformers
arXiv (Cornell University)·2022Open Access
Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization
arXiv (Cornell University)·2022· 54 citedOpen Access
Bounding open space risk with decoupling autoencoders in open set recognition
International Journal of Data Science and Analytics·2022· 5 citedOpen Access
From Open Set Recognition Towards Robust Multi-class Classification
Lecture notes in computer science·2022· 2 cited
Automatic Indexing of Financial Documents via Information Extraction
2021 IEEE Symposium Series on Computational Intelligence (SSCI)·2021· 4 cited
Decoupling Autoencoders for Robust One-vs-Rest Classification
2021· 5 cited
Anonymization of German financial documents using neural network-based language models with contextual word representations
International Journal of Data Science and Analytics·2021· 30 citedOpen Access
ALiBERT
2021· 12 cited
Tackling Contradiction Detection in German Using Machine Translation and End-to-End Recurrent Neural Networks
2021· 9 cited
Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems
IEEE Transactions on Knowledge and Data Engineering·2021· 755 citedOpen Access
Toxicity Detection in Online Comments with Limited Data: A Comparative Analysis
ESANN 2021 proceedings·2021· 3 citedOpen Access
Supervised Autoencoder Variants for End to End Anomaly Detection
Lecture notes in computer science·2021· 6 cited
Fraunhofer IAIS at FinCausal 2020, Tasks 1 & 2: Using Ensemble Methods and Sequence Tagging to Detect Causality in Financial Documents
Fraunhofer-Publica (Fraunhofer-Gesellschaft)·2020· 1 cited
NLPGym -- A toolkit for evaluating RL agents on Natural Language Processing Tasks
arXiv (Cornell University)·2020· 6 citedOpen Access
Novelty-Guided Reinforcement Learning via Encoded Behaviors
2020· 2 cited
From Imbalanced Classification to Supervised Outlier Detection Problems: Adversarially Trained Auto Encoders
Lecture notes in computer science·2020· 10 cited
Guided Reinforcement Learning via Sequence Learning
Lecture notes in computer science·2020· 1 cited
page 1 of 2Next →

Frequent Co-authors

Christian Bauckhage(25), Rafet Sifa(23), Maren Pielka(12), Max Lübbering(12), Michael Gebauer(8), Anna Ladi(6), Rüdiger Loitz(6), David Biesner(5), Lars Hillebrand(4), Robin Stenzel(4), Bernd Kliem(4), Thiago Bell(3), Tim Dilmaghani Khameneh(3), Stefan Wrobel(3), Birgit Kirsch(2), Kianté Brantley(2), Ulrich Warning(2), Krisztián Búza(2), Raheel Yawar(2), Rafet Sifa(2)