| A survey on deep learning for patent analysis R Krestel, R Chikkamath, C Hewel, J Risch World Patent Information 65, 102035, 2021 | 82 | 2021 |
| An empirical study on patent novelty detection: A novel approach using machine learning and natural language processing R Chikkamath, M Endres, L Bayyapu, C Hewel 2020 Seventh International Conference on Social Networks Analysis …, 2020 | 11 | 2020 |
| Patent sentiment analysis to highlight patent paragraphs R Chikkamath, VR Parmar, C Hewel, M Endres arXiv preprint arXiv:2111.09741, 2021 | 4 | 2021 |
| Is your search query well-formed? A natural query understanding for patent prior art search R Chikkamath, D Rastogi, M Maan, M Endres World Patent Information 76, 102254, 2024 | | 2024 |
| Explainable Artificial Intelligence for Highlighting and Searching in Patent Text R Chikkamath, RF Ali, C Hewel, M Endres | | 2023 |
| Patent Classification Using BERT-for-Patents on USPTO R Chikkamath, VR Parmar, Y Otiefy, M Endres Proceedings of the 2022 5th International Conference on Machine Learning and …, 2022 | | 2022 |
| Patent classification using BERT-for-patents on USPTO M Endres, R Chikkamath, VR Parmar, Y Otiefy | | 2022 |
| PaSA: a dataset for Patent Sentiment Analysis to highlight patent paragraphs M Endres, R Chikkamath | | 2022 |
| Patent sentiment analysis to highlight patent paragraphs M Endres, R Chikkamath, VR Parmar, C Hewel | | 2021 |
| Concept Detection and Cluster Analysis from Newsfeed-Singular Value Decomposition Based Approach RC Chikkamath, BS Babu 2016 2nd International Conference on Computational Intelligence and Networks …, 2016 | | 2016 |
| Opinion mining and semantic extraction in E-Govt–SMART-G: A Text mining Approach R Chikkamath, BS Babu | | |
