| Social media as an alternative to surveys of opinions about the economy FG Conrad, JA Gagnon-Bartsch, RA Ferg, MF Schober, J Pasek, E Hou Social Science Computer Review 39 (4), 489-508, 2021 | 59 | 2021 |
| Anomaly detection in partially observed traffic networks E Hou, Y Yılmaz, AO Hero IEEE Transactions on Signal Processing 67 (6), 1461-1476, 2019 | 20 | 2019 |
| Penalized ensemble Kalman filters for high dimensional non-linear systems E Hou, E Lawrence, AO Hero PloS one 16 (3), e0248046, 2021 | 14* | 2021 |
| Latent laplacian maximum entropy discrimination for detection of high-utility anomalies E Hou, K Sricharan, AO Hero IEEE Transactions on Information Forensics and Security 13 (6), 1446-1459, 2018 | 14 | 2018 |
| Efficient distributed estimation of inverse covariance matrices J Arroyo, E Hou 2016 IEEE Statistical Signal Processing Workshop (SSP), 1-5, 2016 | 11 | 2016 |
| A “collective-vs-self” hypothesis for when Twitter and survey data tell the same story FG Conrad, MF Schober, J Pasek, L Guggenheim, C Lampe, E Hou Annual Conference of the American Association for Public Opinion Research …, 2015 | 8 | 2015 |
| Sequential maximum margin classifiers for partially labeled data E Hou, AO Hero 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 1 | 2018 |
| Online diversion detection in nuclear fuel cycles via multimodal observations Y Yilmaz, E Hou, AO Hero arXiv preprint arXiv:1605.00282, 2016 | 1 | 2016 |
| Diversion detection in partially observed nuclear fuel cycle networks E Hou, Y Yılmaz, AO Hero arXiv preprint arXiv:1604.04322, 2016 | 1 | 2016 |
| Machine Learning Models for Improved Tracking from Range-Doppler Map Images E Hou, R Greenwood, P Kumar arXiv preprint arXiv:2407.03140, 2024 | | 2024 |
| Decoding layer saliency in language transformers EM Hou, GD Castanon International Conference on Machine Learning, 13285-13308, 2023 | | 2023 |
| Hierarchical Entity Alignment for Attribute-Rich Event-Driven Graphs E Hou, J Brown, J Fisher arXiv preprint arXiv:2202.00798, 2022 | | 2022 |
| Anomaly Detection and Sequential Filtering with Partial Observations E Hou | | 2019 |
| Variational Methods for Posterior Estimation of Non-linear Inverse Problems EM Hou, EC Lawrence Los Alamos National Lab.(LANL), Los Alamos, NM (United States), 2018 | | 2018 |
| Kalman Filter Models for Data Assimilation EM Hou, EC Lawrence Los Alamos National Laboratory (LANL), Los Alamos, NM (United States), 2015 | | 2015 |
| ENCODING AGENT TRAJECTORIES AS REPRESENTA-TIONS WITH SEQUENCE TRANSFORMERS A Tsiligkaridis, Z Li, E Hou | | |
| DECODING LAYER SALIENCY IN TRANSFORMERS EM Hou, G Castanon | | |
| Quickest Change Detection in Nuclear Fuel Cycles Y Yilmaz, E Hou, T Banerjee, AO Hero | | |
| Event Correlation & Anomaly Detection E Hou, Y Yılmaz, T Van, T Banerjee, A Hero | | |
