| A downscaled faster-RCNN framework for signal detection and time-frequency localization in wideband RF systems KNRSV Prasad, KB D’souza, VK Bhargava IEEE Transactions on Wireless Communications 19 (7), 4847-4862, 2020 | 36 | 2020 |
| Hybrid precoding with partially connected structure for millimeter wave massive MIMO OFDM: A parallel framework and feasibility analysis KB Dsouza, KNRSV Prasad, VK Bhargava IEEE Transactions on Wireless Communications 17 (12), 8108-8122, 2018 | 30 | 2018 |
| Using geometric centroid of Voronoi diagram for coverage and lifetime optimization in mobile wireless sensor networks T Shu, KB Dsouza, V Bhargava, C de Silva 2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE …, 2019 | 19 | 2019 |
| A deep learning framework for blind time-frequency localization in wideband systems KNRSV Prasad, KB Dsouza, VK Bhargava, S Mallick, H Boostanimehr 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring), 1-6, 2020 | 7 | 2020 |
| Learning representations of chromatin contacts using a recurrent neural network identifies genomic drivers of conformation KB Dsouza, A Maslova, E Al-Jibury, M Merkenschlager, VK Bhargava, ... Nature Communications 13 (1), 1-19, 2022 | 6* | 2022 |
| Hybrid binary bat enhanced particle swarm optimization algorithm for solving feature selection problems. Applied Computing and Informatics, 16 (1–2), 117–136 MA Tawhid, KB Dsouza | 6 | 2018 |
| Wireless threat detection device, system, and methods to detect signals in wideband RF systems and localize related time and frequency information based on deep learning NRSVP Koppisetti, KB D'Souza, H Boostanimehr, S Mallick US Patent 11,374,947, 2022 | 4 | 2022 |
| Latent representation of the human pan-celltype epigenome through a deep recurrent neural network KB Dsouza, AY Li, VK Bhargava, MW Libbrecht IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (4 …, 2021 | 1 | 2021 |
| Wireless threat detection device, system, and methods to detect signals in wideband RF systems and localize related time and frequency information based on deep learning NRSVP Koppisetti, KB D'Souza, H Boostanimehr, S Mallick US Patent 11,743,277, 2023 | | 2023 |
| Representation learning strategies for the epigenome and chromatin structure using recurrent neural models KB Dsouza University of British Columbia, 2023 | | 2023 |
| A hybrid precoding and signal detection framework for future wireless systems KB Dsouza University of British Columbia, 2018 | | 2018 |
| Cell type-agnostic representation of the human epigenome through a deep recurrent neural network KB Dsouza, AY Li, VK Bhargava, MW Libbrecht | | |
