Deep transformation method for discriminant analysis of multi-channel resting state fMRI AMS Aradhya, A Joglekar, S Suresh, M Pratama Proceedings of the AAAI conference on artificial intelligence 33 (01), 2556-2563, 2019 | 18 | 2019 |
Metaheuristic spatial transformation (MST) for accurate detection of attention deficit hyperactivity disorder (ADHD) using rs-fMRI AMS Aradhya, S Sundaram, M Pratama 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 14 | 2020 |
Regularized spatial filtering method (r-sfm) for detection of attention deficit hyperactivity disorder (adhd) from resting-state functional magnetic resonance imaging (rs-fmri) AMS Aradhya, V Subbaraju, S Sundaram, N Sundararajan 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 11 | 2018 |
Deep network optimization for rs-fMRI classification AMS Aradhya, A Ashfahani 2019 International Conference on Data Mining Workshops (ICDMW), 77-82, 2019 | 9 | 2019 |
Autonomous CNN (AutoCNN): A data-driven approach to network architecture determination AMS Aradhya, A Ashfahani, F Angelina, M Pratama, RF de Mello, ... Information Sciences 607, 638-653, 2022 | 7 | 2022 |
Discriminant Spatial Filtering Method (DSFM) for the identification and analysis of abnormal resting state brain activities AMS Aradhya, V Subbaraju, S Sundaram, N Sundararajan Expert Systems with Applications 181, 115074, 2021 | 6 | 2021 |
Adaptive Latent Transformation (ALT) for classification of resting state-fMRI AMS Aradhya, G Sharma, M Pratama, S Sundaram 2022 IEEE Symposium Series on Computational Intelligence (SSCI), 206-210, 2022 | | 2022 |
Deep neural networks for spatio-temporal analysis of rs-fMRI in ADHD AMS Aradhya Nanyang Technological University, 2022 | | 2022 |
Poisoning the Well: Can We Simultaneously Attack a Group of Learning Agents? R Bector, H Xu, A Aradhya, C Quek, Z Rabinovich | | |