Affect-lm: A neural language model for customizable affective text generation S Ghosh, M Chollet, E Laksana, LP Morency, S Scherer arXiv preprint arXiv:1704.06851, 2017 | 240 | 2017 |
Representation learning for speech emotion recognition. S Ghosh, E Laksana, LP Morency, S Scherer Interspeech, 3603-3607, 2016 | 160 | 2016 |
A multi-label convolutional neural network approach to cross-domain action unit detection S Ghosh, E Laksana, S Scherer, LP Morency 2015 International Conference on Affective Computing and Intelligent …, 2015 | 85 | 2015 |
Continuous prediction of mortality in the PICU: a recurrent neural network model in a single-center dataset MD Aczon, DR Ledbetter, E Laksana, LV Ho, RC Wetzel Pediatric Critical Care Medicine 22 (6), 519-529, 2021 | 40 | 2021 |
Investigating facial behavior indicators of suicidal ideation E Laksana, T Baltrušaitis, LP Morency, JP Pestian 2017 12th IEEE International Conference on Automatic Face & Gesture …, 2017 | 38 | 2017 |
Learning representations of affect from speech S Ghosh, E Laksana, LP Morency, S Scherer arXiv preprint arXiv:1511.04747, 2015 | 38 | 2015 |
The impact of extraneous features on the performance of recurrent neural network models in clinical tasks E Laksana, M Aczon, L Ho, C Carlin, D Ledbetter, R Wetzel Journal of Biomedical Informatics 102, 103351, 2020 | 17 | 2020 |
Computational analysis of acoustic descriptors in psychotic patients. T Wörtwein, T Baltrusaitis, E Laksana, L Pennant, ES Liebson, D Öngür, ... INTERSPEECH, 3256-3260, 2017 | 10 | 2017 |
Affect-lm: A neural language model for customizable affective text generation. arXiv 2017 S Ghosh, M Chollet, E Laksana, LP Morency, S Scherer arXiv preprint arXiv:1704.06851, 2017 | 7 | 2017 |
966: continuous risk of desaturation within the next hour prediction using a recurrent neural network L Ehrlich, D Ledbetter, M Aczon, E Laksana, R Wetzel Critical Care Medicine 49 (1), 480, 2021 | 5 | 2021 |
A novel application of spectrograms with machine learning can detect patient ventilator dyssynchrony I Obeso, B Yoon, D Ledbetter, M Aczon, E Laksana, A Zhou, RA Eckberg, ... Biomedical Signal Processing and Control 86, 105251, 2023 | 4 | 2023 |
Development of a deep learning model that predicts Bi-level positive airway pressure failure DD Im, E Laksana, DR Ledbetter, MD Aczon, RG Khemani, RC Wetzel Scientific Reports 12 (1), 8907, 2022 | 4 | 2022 |
Narrowing the gap: expected versus deployment performance AX Zhou, MD Aczon, E Laksana, DR Ledbetter, RC Wetzel Journal of the American Medical Informatics Association 30 (9), 1474-1485, 2023 | 3 | 2023 |
Analgesia and Sedation at Terminal Extubation: A Secondary Analysis From Death One Hour After Terminal Extubation Study Data S Tripathi, E Laksana, MC McCrory, S Hsu, AX Zhou, K Burkiewicz, ... Pediatric Critical Care Medicine 24 (6), 463-472, 2023 | 3 | 2023 |
Prehospitalization Trauma and Physiologic Factors Associated with the Presence of Post-traumatic Stress 3 Months After PICU Discharge AN Chau, RA Eckberg, E Laksana, L Ehrlich, DR Ledbetter, MD Aczon, ... Journal of Intensive Care Medicine 39 (3), 268-276, 2024 | 2 | 2024 |
Improving recurrent neural network responsiveness to acute clinical events DR Ledbetter, E Laksana, M Aczon, R Wetzel IEEE Access 9, 106140-106151, 2021 | 2 | 2021 |
The impact of extraneous variables on the performance of recurrent neural network models in clinical tasks E Laksana, M Aczon, L Ho, C Carlin, D Ledbetter, R Wetzel arXiv preprint arXiv:1904.01125, 2019 | 2 | 2019 |
An unsupervised approach to glottal inverse filtering S Ghosh, E Laksana, LP Morency, S Scherer 2016 24th European Signal Processing Conference (EUSIPCO), 220-224, 2016 | 2 | 2016 |
1042: Continuous prediction of medical discharge within 24 hours using a recurrent neural network K Mertan, A Eckberg, D Ledbetter, M Aczon, E Laksana, R Wetzel Critical Care Medicine 49 (1), 520, 2021 | 1 | 2021 |
694: continuous risk of infection prediction using recurrent neural networks in a pediatric ICU I Obeso, D Ledbetter, M Aczon, E Laksana, M Wintner, R Wetzel Critical Care Medicine 49 (1), 342, 2021 | 1 | 2021 |