| Virtual assistant escalation I Beaver, FA Brown, C Freeman US Patent App. 15/465,412, 2017 | 81 | 2017 |
| Timevae: A variational auto-encoder for multivariate time series generation A Desai, C Freeman, Z Wang, I Beaver arXiv preprint arXiv:2111.08095, 2021 | 79 | 2021 |
| System for minimizing repetition in intelligent virtual assistant conversations C Freeman, I Beaver US Patent 11,409,961, 2022 | 39 | 2022 |
| Rate-agnostic (causal) structure learning S Plis, D Danks, C Freeman, V Calhoun Advances in neural information processing systems 28, 2015 | 30 | 2015 |
| Framework and method for the automated determination of classes and anomaly detection methods for time series IR Beaver, C Freeman, J Merriman US Patent 11,567,914, 2023 | 23 | 2023 |
| Borders and gateways: measuring and analyzing national as chokepoints KG Leyba, B Edwards, C Freeman, JR Crandall, S Forrest Proceedings of the 2nd ACM SIGCAS Conference on Computing and Sustainable …, 2019 | 21 | 2019 |
| Experimental comparison and survey of twelve time series anomaly detection algorithms C Freeman, J Merriman, I Beaver, A Mueen Journal of Artificial Intelligence Research 72, 849-899, 2021 | 20 | 2021 |
| Experimental comparison of online anomaly detection algorithms C Freeman, J Merriman, I Beavers, A Mueen The Thirty-Second International Flairs Conference, 2019 | 19 | 2019 |
| An annotated corpus of relational strategies in customer service I Beaver, C Freeman, A Mueen arXiv preprint arXiv:1708.05449, 2017 | 14 | 2017 |
| The effect of response complexity and media on user restatement with multimodal virtual assistants C Freeman, I Beaver International Journal of Human-Computer Studies 119, 12-27, 2018 | 13 | 2018 |
| Online proactive escalation in multi-modal automated assistants C Freeman, I Beaver The Thirtieth International Flairs Conference, 2017 | 13 | 2017 |
| Human-in-the-Loop Selection of Optimal Time Series Anomaly Detection Methods C Freeman, I Beaver AAAI Conference on Human Computation and Crowdsourcing, 2019 | 11 | 2019 |
| Risk assessment using Poisson Shelves JW Dumoulin, C Freeman, J DelloStritto US Patent 11,334,832, 2022 | 10 | 2022 |
| System and method for determining reasons for anomalies using cross entropy ranking of textual items C Freeman US Patent 11,610,580, 2023 | 9 | 2023 |
| Detecting anomalies in textual items using cross-entropies C Freeman US Patent 11,514,251, 2022 | 9 | 2022 |
| Fine-tuning language models for semi-supervised text mining X Chen, I Beaver, C Freeman 2020 IEEE International Conference on Big Data (Big Data), 3608-3617, 2020 | 8 | 2020 |
| Prioritization of risky chats for intent classifier improvement I Beaver, C Freeman The Twenty-Ninth International Flairs Conference, 2016 | 8 | 2016 |
| Detection of User Escalation in Human-Computer Interactions. I Beaver, C Freeman INTERSPEECH, 2075-2079, 2016 | 8 | 2016 |
| Towards awareness of human relational strategies in virtual agents I Beaver, C Freeman, A Mueen Proceedings of the AAAI Conference on Artificial Intelligence 34 (03), 2602-2610, 2020 | 7 | 2020 |
| System and method of highlighting influential samples in sequential analysis IR Beaver, C Freeman, JP Merriman, A Aggarwal US Patent 11,048,854, 2021 | 6 | 2021 |
