| Online judge system: Requirements, architecture, and experiences Y Watanobe, MM Rahman, T Matsumoto, UK Rage, P Ravikumar International Journal of Software Engineering and Knowledge Engineering 32 …, 2022 | 32 | 2022 |
| Discovering fuzzy periodic-frequent patterns in quantitative temporal databases RU Kiran, C Saideep, P Ravikumar, K Zettsu, M Toyoda, M Kitsuregawa, ... 2020 IEEE International conference on fuzzy systems (FUZZ-IEEE), 1-8, 2020 | 29 | 2020 |
| Efficient discovery of periodic-frequent patterns in columnar temporal databases P Ravikumar, P Likhitha, B Venus Vikranth Raj, R Uday Kiran, ... Electronics 10 (12), 1478, 2021 | 19 | 2021 |
| An assessment of the protective effect of bentonite on ochratoxicosis in broiler with reference to certain haematological profile NR Ramadevi, RG Naidu, P Ravikumar Indian Veterinary Journal 77, 303-306, 2000 | 19 | 2000 |
| Reversal of cadmium induced oxidative stress and its bioaccumulation by culinary herbs Murraya koenigii and Allium sativum K Bharavi, A Gopala Reddy, GS Rao, P Ravikumar, A Rajasekhar Reddy, ... Res J Pharmacol 4, 60-5, 2010 | 17 | 2010 |
| Discovering fuzzy geo-referenced periodic-frequent patterns in geo-referenced time series databases P Veena, P Ravikumar, K Kwangwari, RU Kiran, K Goda, Y Watanobe, ... 2022 IEEE International conference on fuzzy systems (FUZZ-IEEE), 1-8, 2022 | 9 | 2022 |
| Weighted feature-based classification of time series data P Ravikumar, VS Devi 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM …, 2014 | 9 | 2014 |
| Efficient discovery of partial periodic patterns in large temporal databases RU Kiran, P Veena, P Ravikumar, C Saideep, K Zettsu, H Shang, ... Electronics 11 (10), 1523, 2022 | 8 | 2022 |
| Fuzzy classification of time series data P Ravikumar, VS Devi 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2013 | 8 | 2013 |
| Periodic Pattern Mining RU Kiran, A Mondal, JCW Lin, JM Luna, P Fournier-Viger Springer Singapore, 2021 | 7 | 2021 |
| Online automatic assessment system for program code: Architecture and experiences Y Watanobe, MM Rahman, UK Rage, R Penugonda Advances and Trends in Artificial Intelligence. From Theory to Practice …, 2021 | 7 | 2021 |
| Discovering closed periodic-frequent patterns in very large temporal databases P Likhitha, P Ravikumar, RU Kiran, Y Hayamizu, K Goda, M Toyoda, ... 2020 IEEE International Conference on Big Data (Big Data), 4700-4709, 2020 | 7 | 2020 |
| Finding stable periodic-frequent itemsets in big columnar databases HN Dao, P Ravikumar, P Likhitha, UK Rage, Y Watanobe, I Paik IEEE Access 11, 12504-12524, 2023 | 6 | 2023 |
| Discovering geo-referenced Periodic-Frequent Patterns in geo-referenced time series databases P Ravikumar, RU Kiran, P Likhitha, T Chandrasekhar, Y Watanobe, ... 2022 IEEE 9th International conference on data science and advanced …, 2022 | 5 | 2022 |
| Efficient discovery of partial periodic-frequent patterns in temporal databases S Nakamura, RU Kiran, P Likhitha, P Ravikumar, Y Watanobe, MS Dao, ... Database and Expert Systems Applications: 32nd International Conference …, 2021 | 5 | 2021 |
| Discovering top-k periodic-frequent patterns in very large temporal databases P Likhitha, P Ravikumar, RU Kiran, Y Watanobe International Conference on Big Data Analytics, 200-210, 2022 | 4 | 2022 |
| Towards efficient discovery of stable periodic patterns in big columnar temporal databases HN Dao, P Ravikumar, P Likitha, BVV Raj, RU Kiran, Y Watanobe, I Paik International Conference on Industrial, Engineering and Other Applications …, 2022 | 4 | 2022 |
| Towards efficient discovery of periodic-frequent patterns in columnar temporal databases R Penugonda, L Palla, UK Rage, Y Watanobe, K Zettsu Advances and Trends in Artificial Intelligence. Artificial Intelligence …, 2021 | 3 | 2021 |
| Towards efficient discovery of partial periodic patterns in columnar temporal databases P Ravikumar, VV Raj, P Likhitha, RU Kiran, Y Watanobe, S Ito, K Zettsu, ... Asian Conference on Intelligent Information and Database Systems, 141-154, 2022 | 2 | 2022 |
| Discovering spatial high utility itemsets in high-dimensional spatiotemporal databases SC Bommisetty, R Penugonda, UK Rage, MS Dao, K Zettsu Advances and Trends in Artificial Intelligence. Artificial Intelligence …, 2021 | 2 | 2021 |
Rage Uday KiranAssociate professor, The University of Aizu, Aizu Wakamatsu, Fukushima, JapanVerified email at u-aizu.ac.jp
