| 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 | 188 | 2017 |
| Representation learning for speech emotion recognition. S Ghosh, E Laksana, LP Morency, S Scherer Interspeech, 3603-3607, 2016 | 138 | 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 | 81 | 2015 |
| Learning representations of affect from speech S Ghosh, E Laksana, LP Morency, S Scherer arXiv preprint arXiv:1511.04747, 2015 | 35 | 2015 |
| 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 | 26 | 2017 |
| 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, 2021 | 24 | 2021 |
| 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 | 14 | 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 | 6 | 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 |
| 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 | 5 | 2017 |
| 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 |
| 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, 10.1097, 2023 | | 2023 |
| COMPARISON OF HEPARIN DOSAGE IN CRITICALLY ILL CHILDREN A Eckberg, A Kamerkar, E Laksana, M Aczon, R Wetzel, D Ledbetter AMERICAN JOURNAL OF HEMATOLOGY 98, E32-E32, 2023 | | 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 | | 2022 |
| 1043: Continuous Prediction of ICU-Free Days Using a Recurrent Neural Network in a Pediatric ICU A Eckberg, K Mertan, D Ledbetter, M Aczon, E Laksana, R Wetzel Critical Care Medicine 49 (1), 521, 2021 | | 2021 |
| Importance-based Multimodal Autoencoder S Ghosh, E Laksana, LP Morency, S Scherer | | |
Louis-Philippe MorencyAssociate professor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
