| Multi-Class classification of vulnerabilities in Smart Contracts using AWD-LSTM, with pre-trained encoder inspired from natural language processing AK Gogineni, S Swayamjyoti, D Sahoo, KK Sahu, R Kishore IOP SciNotes 1 (3), 035002, 2020 | 32 | 2020 |
| A nature inspired modularity function for unsupervised learning involving spatially embedded networks R Kishore, AK Gogineni, Z Nussinov, KK Sahu Scientific reports 9 (1), 2631, 2019 | 11 | 2019 |
| Innovations in neural data-to-text generation M Sharma, A Gogineni, N Ramakrishnan arXiv preprint arXiv:2207.12571, 2022 | 8 | 2022 |
| Unsupervised Clustering algorithm as region of interest proposals for cancer detection using CNN AK Gogineni, R Kishore, P Raj, S Naik, KK Sahu Computational Vision and Bio-Inspired Computing: ICCVBIC 2019, 1386-1396, 2020 | 4 | 2020 |
| VISUAL MACHINE LEARNING: INSIGHT THROUGH EIGENVECTORS, CHLADNI PATTERNS, AND COMMUNITY DETECTION IN 2D PARTICULATE STRUCTURES R Kishore, S Swayamjyoti, S Das, AK Gogineni, Z Nussinov, D Solenov, ... International Journal for Multiscale Computational Engineering 20 (3), 2022 | 3 | 2022 |
| Innovations in Neural Data-to-text Generation: A Survey M Sharma, A Gogineni, N Ramakrishnan arXiv preprint arXiv:2207.12571, 2022 | 2 | 2022 |
| Analysis of Drug repurposing Knowledge graphs for Covid-19 AK Gogineni arXiv preprint arXiv:2212.03911, 2022 | 1 | 2022 |
| Parametric study of lithium-ion battery using electrochemical model in conjunction with machine learning techniques AD Pathak, AK Gogineni, S Pati, KK Sahu Electrochemical Society Meeting Abstracts prime2020, 277-277, 2020 | | 2020 |
| Detection of Deep-fakes in Videos using CNN and Transformers AK Gogineni, A Seth | | |
