| Very deep convolutional neural networks for raw waveforms W Dai, C Dai, S Qu, J Li, S Das 2017 IEEE international conference on acoustics, speech and signal …, 2017 | 498 | 2017 |
| A comparison of deep learning methods for environmental sound detection J Li, W Dai, F Metze, S Qu, S Das 2017 IEEE International conference on acoustics, speech and signal …, 2017 | 189 | 2017 |
| Quantitative measurement of motor symptoms in Parkinson's disease: A study with full-body motion capture data S Das, L Trutoiu, A Murai, D Alcindor, M Oh, F De la Torre, J Hodgins 2011 Annual International Conference of the IEEE Engineering in Medicine and …, 2011 | 123 | 2011 |
| Particle filter with a mode tracker for visual tracking across illumination changes S Das, A Kale, N Vaswani IEEE Transactions on Image Processing 21 (4), 2340-2346, 2011 | 60 | 2011 |
| First-person camera based visual context aware system S Das, G Vaca, JP Sousa US Patent 11,087,167, 2021 | 52 | 2021 |
| Detecting Parkinsons' symptoms in uncontrolled home environments: A multiple instance learning approach S Das, B Amoedo, F De la Torre, J Hodgins 2012 Annual International Conference of the IEEE Engineering in Medicine and …, 2012 | 50 | 2012 |
| Motion capture measures variability in laryngoscopic movement during endotracheal intubation: a preliminary report JN Carlson, S Das, F De la Torre, CW Callaway, PE Phrampus, J Hodgins Simulation in Healthcare 7 (4), 255-260, 2012 | 43 | 2012 |
| Improved scene identification and object detection on egocentric vision of daily activities G Vaca-Castano, S Das, JP Sousa, ND Lobo, M Shah Computer Vision and Image Understanding 156, 92-103, 2017 | 34 | 2017 |
| A novel artificial intelligence system for endotracheal intubation JN Carlson, S Das, F De la Torre, A Frisch, FX Guyette, JK Hodgins, ... Prehospital Emergency Care 20 (5), 667-671, 2016 | 30 | 2016 |
| Multiple instance deep learning for weakly supervised small-footprint audio event detection SY Tseng, J Li, Y Wang, J Szurley, F Metze, S Das arXiv preprint arXiv:1712.09673, 2017 | 23 | 2017 |
| Network of internet connected automated external defibrillators S Das US Patent 10,035,023, 2018 | 22 | 2018 |
| Eventness: Object detection on spectrograms for temporal localization of audio events P Pham, J Li, J Szurley, S Das 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 21 | 2018 |
| Understanding audio pattern using convolutional neural network from raw waveforms S Qu, J Li, W Dai, S Das arXiv preprint arXiv:1611.09524, 2016 | 21 | 2016 |
| System and method for audio scene understanding of physical object sound sources S Das, JP Sousa US Patent 9,668,073, 2017 | 20 | 2017 |
| Assessment of movement patterns during intubation between novice and experienced providers using mobile sensors: a preliminary, proof of concept study JN Carlson, S Das, S Spring, A Frisch, F De la Torre, J Hodgins BioMed Research International 2015 (1), 843078, 2015 | 17 | 2015 |
| Particle filtered modified compressive sensing (pafimocs) for tracking signal sequences S Das, N Vaswani 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals …, 2010 | 13 | 2010 |
| Nonstationary shape activities: Dynamic models for landmark shape change and applications S Das, N Vaswani IEEE transactions on pattern analysis and machine intelligence 32 (4), 579-592, 2009 | 13 | 2009 |
| Sound event detection for real life audio DCASE challenge JL Dai Wei, P Pham, S Das, S Qu, F Metze Proc. Workshop Detection and Classification of Acoustic Scenes and Events, 2016 | 12 | 2016 |
| Methods for minimizing side channel leakage for group key agreement for controller area network S Jain, JG Merchan, S Das US Patent 10,749,673, 2020 | 11 | 2020 |
| Analysis of smartphone video footage classifies chest compression rate during simulated CPR. A Frisch, S Das, JC Reynolds, F De la Torre, JK Hodgins, JN Carlson Carnegie Mellon University, 2014 | 11 | 2014 |
