Using normal distribution to retrieve temporal associations by Euclidean distance A Cheruvu, V Radhakrishna, N Rajasekhar 2017 International Conference on Engineering & MIS (ICEMIS), 1-3, 2017 | 106 | 2017 |
VRKSHA: A novel multi-tree based sequential approach for seasonal pattern mining S Aljawarneh, V Radhakrishna, A Cheruvu Proceedings of the Fourth International Conference on Engineering & MIS 2018 …, 2018 | 61 | 2018 |
Discovery of time profiled temporal patterns V Radhakrishna, S Aljawarneh, PV Kumar, V Janaki, A Cheruvu Proceedings of the 5th International Conference on Engineering and MIS, 1-5, 2019 | 49 | 2019 |
Extending the Gaussian membership function for finding similarity between temporal patterns SA Aljawarneh, V Radhakrishna, A Cheruvu 2017 international conference on engineering & MIS (ICEMIS), 1-6, 2017 | 47 | 2017 |
Feature clustering for anomaly detection using improved fuzzy membership function GR Kumar, N Mangathayaru, G Narsimha, A Cheruvu Proceedings of the Fourth International Conference on Engineering & MIS 2018 …, 2018 | 39 | 2018 |
Sequential approach for mining of temporal itemsets V Radhakrishna, S Aljawarneh, A Cheruvu Proceedings of the Fourth International Conference on Engineering & MIS 2018 …, 2018 | 39 | 2018 |
Kaala vrksha: extending vrksha for time profiled temporal association mining V Radhakrishna, S Aljawarneh, PV Kumar, A Cheruvu Proceedings of the first international conference on data science, E …, 2018 | 36 | 2018 |
VRKSHA: a novel tree structure for time-profiled temporal association mining SA Aljawarneh, V Radhakrishna, A Cheruvu Neural Computing and Applications 32 (21), 16337-16365, 2020 | 34 | 2020 |
A dissimilarity measure for mining similar temporal association patterns V Radhakrishna, PV Kumar, V Janaki, A Cheruvu IADIS International Journal on Computer Science and Information Systems 12 …, 2017 | 32 | 2017 |
Nirnayam: fusion of iterative rule based decisions to build decision trees for efficient classification S Aljawarneh, V Radhakrishna, A Cheruvu Proceedings of the 5th International Conference on Engineering and MIS, 1-7, 2019 | 27 | 2019 |
Tree based data fusion approach for mining temporal patterns V Radhakrishna, S Aljawarneh, PV Kumar, V Janaki, A Cheruvu Proceedings of the 5th International Conference on Engineering and MIS, 1-5, 2019 | 24 | 2019 |
Estimating temporal pattern bounds using negative support computations A Cheruvu, V Radhakrishna 2016 International Conference on Engineering & MIS (ICEMIS), 1-4, 2016 | 21 | 2016 |
Finding similar patterns in time stamped temporal datasets SA Aljawarneh, VR Krishna, A Cheruvu 2017 International Conference on Engineering & MIS (ICEMIS), 1-5, 2017 | 16 | 2017 |
Extending the Gaussian membership function for finding similarity between temporal patterns. Proceedings-2017 International Conference on Engineering and MIS, ICEMIS 2017 2018 … SA Aljawarneh, V Radhakrishna, A Cheruvu | 12 | 2018 |
Using normal distribution to retrieve temporal associations by Euclidean distance. Proceedings-2017 International Conference on Engineering and MIS, ICEMIS 2017 2018-January … A Cheruvu, V Radhakrishna, N Rajasekhar | 9 | 2018 |
Estimating temporal pattern bounds using negative support computations. Proceedings-2016 International Conference on Engineering and MIS, ICEMIS 2016 (2016) A Cheruvu, V Radhakrishna | 9 | 2016 |
Mobile learning: a pedagogical framework to facilitate distributed learning through collaborative approach for enhancing English language communication skills B Mitra, S Kode, A Cheruvu 2015 IEEE Seventh International Conference on Technology for Education (T4E …, 2015 | 9 | 2015 |
Neural Comput & Applic (2018) SA Aljawarneh, V Radhakrishna, A Cheruvu ed, 0 | 9 | |
A first look at toxicity injection attacks on open-domain chatbots C Weeks, A Cheruvu, SM Abdullah, S Kanchi, D Yao, B Viswanath Proceedings of the 39th Annual Computer Security Applications Conference …, 2023 | 6 | 2023 |
An Analysis of Recent Advances in Deepfake Image Detection in an Evolving Threat Landscape SM Abdullah, A Cheruvu, S Kanchi, T Chung, P Gao, M Jadliwala, ... arXiv preprint arXiv:2404.16212, 2024 | 4 | 2024 |