Applying MapReduce to Learning User Preferences in Near Real-Time. - Ian Beaver; Joe Dumoulin (ICCBR, 2013)

Scaling User Preference Learning in Near Real-Time to Large Datasets. - Ian Beaver; Joe Dumoulin (MAICS, 2014)

Prioritization of Risky Chats for Intent Classifier Improvement. - Ian Beaver; Cynthia Freeman (FLAIRS, 2016)

Detection of User Escalation in Human-Computer Interactions. - Ian Beaver; Cynthia Freeman (INTERSPEECH, 2016)

Analysis of user behavior with multimodal virtual customer service agents. - Ian Beaver; Cynthia Freeman (SLT, 2016)

Online Proactive Escalation in Multi-Modal Automated Assistants. - Cynthia Freeman; Ian Beaver (FLAIRS, 2017)

An Annotated Corpus of Relational Strategies in Customer Service. - Ian Beaver; Cynthia Freeman; Abdullah Mueen (CoRR, 2017)

Paying Attention to Attention: Highlighting Influential Samples in Sequential Analysis. - Cynthia Freeman; Jonathan Merriman; Abhinav Aggarwal; Ian Beaver; Abdullah Mueen (CoRR, 2018)

The effect of response complexity and media on user restatement with multimodal virtual assistants. - Cynthia Freeman; Ian Beaver (Int. J. Hum. Comput. Stud., 2018)

Experimental Comparison of Online Anomaly Detection Algorithms. - Cynthia Freeman; Jonathan Merriman; Ian Beaver; Abdullah Mueen (FLAIRS, 2019)

Towards Awareness of Human Relational Strategies in Virtual Agents. - Ian Beaver; Cynthia Freeman; Abdullah Mueen (AAAI, 2020)

Automated Conversation Review to Surface Virtual Assistant Misunderstandings: Reducing Cost and Increasing Privacy. - Ian Beaver; Abdullah Mueen (AAAI, 2020)

Fine-Tuning Language Models For Semi-Supervised Text Mining. - Xinyu Chen; Ian Beaver; Cynthia Freeman (IEEE BigData, 2020)

A Case Study of User Communication Styles with Customer Service Agents versus Intelligent Virtual Agents. - Timothy Hewitt; Ian Beaver (SIGdial, 2020)

Detecting Anomalies in Sequences of Short Text Using Iterative Language Models. - Cynthia Freeman; Ian Beaver; Abdullah Mueen (FLAIRS, 2021)

Improving Univariate Time Series Anomaly Detection Through Automatic Algorithm Selection and Human-in-the-Loop False-Positive Removement. - Cynthia Freeman; Ian Beaver; Abdullah Mueen (FLAIRS, 2021)

On the Care and Feeding of Virtual Assistants: Automating Conversation Review with AI. - Ian Beaver; Abdullah Mueen (AI Mag., 2021)

TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation. - Abhyuday Desai; Cynthia Freeman; Zuhui Wang; Ian Beaver (CoRR, 2021)

Experimental Comparison and Survey of Twelve Time Series Anomaly Detection Algorithms. - Cynthia Freeman; Jonathan Merriman; Ian Beaver; Abdullah Mueen (J. Artif. Intell. Res., 2021)

Experimental Comparison and Survey of Twelve Time Series Anomaly Detection Algorithms (Extended Abstract). - Cynthia Freeman; Jonathan Merriman; Ian Beaver; Abdullah Mueen (IJCAI, 2022)

The Success of Conversational AI and the AI Evaluation Challenge It Reveals. - Ian Beaver (AI Mag., 2022)

Is AI at Human Parity Yet? A Case Study on Speech Recognition. - Ian Beaver (AI Mag., 2022)

A Semi-Supervised Deep Clustering Pipeline for Mining Intentions From Texts. - Xinyu Chen; Ian Beaver (CoRR, 2022)

A Flexible Clustering Pipeline for Mining Text Intentions. - Xinyu Chen; Ian Beaver (CoRR, 2022)

Automated Human-Readable Label Generation in Open Intent Discovery. - Grant Anderson; Emma Hart; Dimitra Gkatzia; Ian Beaver (INTERSPEECH, 2024)

An Open Intent Discovery Evaluation Framework. - Grant Anderson; Emma Hart; Dimitra Gkatzia; Ian Beaver (SIGDIAL, 2024)

FCBench: Cross-Domain Benchmarking of Lossless Compression for Floating-point Data. - Xinyu Chen; Jiannan Tian; Ian Beaver; Cynthia Freeman; Yan Yan; Jianguo Wang 001; Dingwen Tao (Proc. VLDB Endow., 2024)