| LSTM fully convolutional networks for time series classification F Karim, S Majumdar, H Darabi, S Chen IEEE access 6, 1662-1669, 2017 | 1315 | 2017 |
| Multivariate LSTM-FCNs for time series classification F Karim, S Majumdar, H Darabi, S Harford Neural networks 116, 237-245, 2019 | 898 | 2019 |
| Insights into LSTM fully convolutional networks for time series classification F Karim, S Majumdar, H Darabi Ieee Access 7, 67718-67725, 2019 | 195 | 2019 |
| Microaneurysm detection using fully convolutional neural networks P Chudzik, S Majumdar, F Calivá, B Al-Diri, A Hunter Computer methods and programs in biomedicine 158, 185-192, 2018 | 192 | 2018 |
| Adversarial attacks on time series F Karim, S Majumdar, H Darabi IEEE transactions on pattern analysis and machine intelligence 43 (10), 3309 …, 2020 | 102 | 2020 |
| Matchboxnet: 1d time-channel separable convolutional neural network architecture for speech commands recognition S Majumdar, B Ginsburg arXiv preprint arXiv:2004.08531, 2020 | 83 | 2020 |
| Citrinet: Closing the gap between non-autoregressive and autoregressive end-to-end models for automatic speech recognition S Majumdar, J Balam, O Hrinchuk, V Lavrukhin, V Noroozi, B Ginsburg arXiv preprint arXiv:2104.01721, 2021 | 67 | 2021 |
| Marblenet: Deep 1d time-channel separable convolutional neural network for voice activity detection F Jia, S Majumdar, B Ginsburg ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 46 | 2021 |
| Pathological voice classification using mel-cepstrum vectors and support vector machine M Pishgar, F Karim, S Majumdar, H Darabi arXiv preprint arXiv:1812.07729, 2018 | 41 | 2018 |
| Spgispeech: 5,000 hours of transcribed financial audio for fully formatted end-to-end speech recognition PK O'Neill, V Lavrukhin, S Majumdar, V Noroozi, Y Zhang, O Kuchaiev, ... arXiv preprint arXiv:2104.02014, 2021 | 37 | 2021 |
| Exudate segmentation using fully convolutional neural networks and inception modules P Chudzik, S Majumdar, F Caliva, B Al-Diri, A Hunter Medical Imaging 2018: Image Processing 10574, 785-792, 2018 | 36 | 2018 |
| Fast conformer with linearly scalable attention for efficient speech recognition D Rekesh, NR Koluguri, S Kriman, S Majumdar, V Noroozi, H Huang, ... 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 1-8, 2023 | 29 | 2023 |
| Microaneurysm detection using deep learning and interleaved freezing P Chudzik, S Majumdar, F Caliva, B Al-Diri, A Hunter Medical imaging 2018: image processing 10574, 379-387, 2018 | 29 | 2018 |
| A machine learning based model for out of hospital cardiac arrest outcome classification and sensitivity analysis S Harford, H Darabi, M Del Rios, S Majumdar, F Karim, TV Hoek, K Erwin, ... Resuscitation 138, 134-140, 2019 | 25 | 2019 |
| CTC variations through new WFST topologies A Laptev, S Majumdar, B Ginsburg arXiv preprint arXiv:2110.03098, 2021 | 20 | 2021 |
| Robust acoustic and semantic contextual biasing in neural transducers for speech recognition X Fu, KM Sathyendra, A Gandhe, J Liu, GP Strimel, R McGowan, ... ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 12 | 2023 |
| Efficient sequence transduction by jointly predicting tokens and durations H Xu, F Jia, S Majumdar, H Huang, S Watanabe, B Ginsburg International Conference on Machine Learning, 38462-38484, 2023 | 7 | 2023 |
| Nvidia nemo offline speech translation systems for IWSLT 2022 O Hrinchuk, V Noroozi, A Khattar, A Peganov, S Subramanian, ... Proceedings of the 19th International Conference on Spoken Language …, 2022 | 7 | 2022 |
| Parallel quick sort using thread pool pattern S Majumdar, I Jain, A Gawade International Journal of Computer Applications 136 (7), 36-41, 2016 | 6 | 2016 |
| Damage control during domain adaptation for transducer based automatic speech recognition S Majumdar, S Acharya, V Lavrukhin, B Ginsburg 2022 IEEE Spoken Language Technology Workshop (SLT), 130-135, 2023 | 4 | 2023 |
Houshang DarabiUniversity of Illinois Chicago在 uic.edu 的电子邮件经过验证
