Gradient amplification: An efficient way to train deep neural networks S Basodi, C Ji, H Zhang, Y Pan Big Data Mining and Analytics 3 (3), 196-207, 2020 | 247 | 2020 |
Multivariate time series dataset for space weather data analytics RA Angryk, PC Martens, B Aydin, D Kempton, SS Mahajan, S Basodi, ... Scientific data 7 (1), 227, 2020 | 157 | 2020 |
Efficient hyperparameter optimization in deep learning using a variable length genetic algorithm X Xiao, M Yan, S Basodi, C Ji, Y Pan arXiv preprint arXiv:2006.12703, 2020 | 132 | 2020 |
A survey on algorithms for intelligent computing and smart city applications Z Tong, F Ye, M Yan, H Liu, S Basodi Big Data Mining and Analytics 4 (3), 155-172, 2021 | 104 | 2021 |
Adaptive computation offloading and resource allocation strategy in a mobile edge computing environment Z Tong, X Deng, F Ye, S Basodi, X Xiao, Y Pan Information Sciences 537, 116-131, 2020 | 103 | 2020 |
Using transfer learning, SVM, and ensemble classification to classify baby cries based on their spectrogram images L Le, ANMH Kabir, C Ji, S Basodi, Y Pan 2019 IEEE 16th International Conference on Mobile Ad Hoc and Sensor Systems …, 2019 | 36 | 2019 |
Deep learning for asphyxiated infant cry classification based on acoustic features and weighted prosodic features C Ji, X Xiao, S Basodi, Y Pan 2019 International conference on Internet of Things (iThings) and IEEE green …, 2019 | 36 | 2019 |
Infant sound classification on multi-stage cnns with hybrid features and prior knowledge C Ji, S Basodi, X Xiao, Y Pan International Conference on AI and Mobile Services, 3-16, 2020 | 21 | 2020 |
Efficient hyperparameter optimization in deep learning using a variable length genetic algorithm. arXiv 2020 X Xiao, M Yan, S Basodi, C Ji, Y Pan arXiv preprint arXiv:2006.12703, 2006 | 17 | 2006 |
Dynamics and bifurcations in multistable 3-cell neural networks J Collens, K Pusuluri, A Kelley, D Knapper, T Xing, S Basodi, D Alacam, ... Chaos: An Interdisciplinary Journal of Nonlinear Science 30 (7), 2020 | 16 | 2020 |
Computational exposition of multistable rhythms in 4-cell neural circuits K Pusuluri, S Basodi, A Shilnikov Communications in Nonlinear Science and Numerical Simulation 83, 105139, 2020 | 14 | 2020 |
SWAN-SF R Angryk, P Martens, B Aydin, D Kempton, S Mahajan, S Basodi, ... Harvard Dataverse, 2020 | 14 | 2020 |
Federated analysis in COINSTAC reveals functional network connectivity and spectral links to smoking and alcohol consumption in nearly 2,000 adolescent brains H Gazula, K Rootes-Murdy, B Holla, S Basodi, Z Zhang, E Verner, R Kelly, ... Neuroinformatics 21 (2), 287-301, 2023 | 13 | 2023 |
Data integrity attack detection in smart grid: a deep learning approach S Basodi, S Tan, WZ Song, Y Pan International Journal of Security and Networks 15 (1), 15-24, 2020 | 13 | 2020 |
Decentralized brain age estimation using mri data S Basodi, R Raja, B Ray, H Gazula, AD Sarwate, S Plis, J Liu, E Verner, ... Neuroinformatics 20 (4), 981-990, 2022 | 10 | 2022 |
ENIGMA+ COINSTAC: improving findability, accessibility, interoperability, and re-usability JA Turner, VD Calhoun, PM Thompson, N Jahanshad, CRK Ching, ... Neuroinformatics 20 (1), 261-275, 2022 | 9 | 2022 |
Federation of brain age estimation in structural neuroimaging data S Basodi, R Raja, B Ray, H Gazula, J Liu, E Verner, VD Calhoun 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 7 | 2021 |
Analysis of heterogeneous genomic samples using image normalization and machine learning S Basodi, PI Baykal, A Zelikovsky, P Skums, Y Pan BMC genomics 21, 1-10, 2020 | 7 | 2020 |
Multi‐view learning for benign epilepsy with centrotemporal spikes M Yan, L Liu, S Basodi, Y Pan IET Computer Vision 13 (2), 109-116, 2019 | 4 | 2019 |
Enhancing collaborative neuroimaging research: introducing COINSTAC Vaults for federated analysis and reproducibility D Martin, S Basodi, S Panta, K Rootes-Murdy, P Prae, AD Sarwate, ... Frontiers in Neuroinformatics 17, 1207721, 2023 | 3 | 2023 |