An AR-Sieve Bootstrap Control Chart for Autocorrelated Process Data. - Michelle Mancenido; Erniel B. Barrios (Qual. Reliab. Eng. Int., 2012)

Separation in D-optimal experimental designs for the logistic regression model. - Anson R. Park; Michelle V. Mancenido; Douglas C. Montgomery (Qual. Reliab. Eng. Int., 2019)

Toward Privacy and Utility Preserving Image Representation. - Ahmadreza Mosallanezhad; Yasin N. Silva; Michelle V. Mancenido; Huan Liu 001 (CoRR, 2020)

Exploring the Design Space of Sankey Diagrams for the Food-Energy-Water Nexus. - Brandon Mathis; Yuxin Ma; Michelle Mancenido; Ross Maciejewski (IEEE Computer Graphics and Applications, 2021)

"Let's Eat Grandma": When Punctuation Matters in Sentence Representation for Sentiment Analysis. - Mansooreh Karami; Ahmadreza Mosallanezhad; Michelle V. Mancenido; Huan Liu 001 (CoRR, 2021)

A compound optimality criterion for D-efficient and separation-robust designs for the logistic regression model. - Anson R. Park; Michelle V. Mancenido; Douglas C. Montgomery (Qual. Reliab. Eng. Int., 2021)

Annotating Line Charts for Addressing Deception. - Arlen Fan; Yuxin Ma; Michelle Mancenido; Ross Maciejewski (CHI, 2022)

"Let's Eat Grandma": Does Punctuation Matter in Sentence Representation? - Mansooreh Karami; Ahmadreza Mosallanezhad; Michelle V. Mancenido; Huan Liu 001 (ECML/PKDD (2), 2022)

Domain Adaptive Fake News Detection via Reinforcement Learning. - Ahmadreza Mosallanezhad; Mansooreh Karami; Kai Shu; Michelle V. Mancenido; Huan Liu 001 (WWW, 2022)

STANCE-C3: Domain-adaptive Cross-target Stance Detection via Contrastive Learning and Counterfactual Generation. - Nayoung Kim; David Mosallanezhad; Lu Cheng 001; Michelle V. Mancenido; Huan Liu 001 (CoRR, 2023)

Evaluating Trustworthiness of AI-Enabled Decision Support Systems: Validation of the Multisource AI Scorecard Table (MAST). - Pouria Salehi; Yang Ba; Nayoung Kim; Ahmadreza Mosallanezhad; Anna Pan; Myke C. Cohen; Yixuan Wang; Jieqiong Zhao; Shawaiz Bhatti; James Sung; Erik Blasch; Michelle V. Mancenido; et al. (CoRR, 2023)

Robust Stance Detection: Understanding Public Perceptions in Social Media. - Nayoung Kim; David Mosallanezhad; Lu Cheng 001; Michelle V. Mancenido; Huan Liu 001 (ASONAM (2), 2024)

Understanding Reader Takeaways in Thematic Maps Under Varying Text, Detail, and Spatial Autocorrelation. - Arlen Fan; Fan Lei; Michelle Mancenido; Alan M. MacEachren; Ross Maciejewski (CHI, 2024)

Fill In The Gaps: Model Calibration and Generalization with Synthetic Data. - Yang Ba; Michelle Mancenido; Rong Pan (EMNLP, 2024)

PADTHAI-MM: A Principled Approach for Designing Trustable, Human-centered AI systems using the MAST Methodology. - Nayoung Kim; Myke C. Cohen; Yang Ba; Anna Pan; Shawaiz Bhatti; Pouria Salehi; James Sung; Erik Blasch; Michelle V. Mancenido; Erin K. Chiou (CoRR, 2024)

Data Quality in Crowdsourcing and Spamming Behavior Detection. - Yang Ba; Michelle V. Mancenido; Erin K. Chiou; Rong Pan (CoRR, 2024)

How Does Data Diversity Shape the Weight Landscape of Neural Networks? - Yang Ba; Michelle V. Mancenido; Rong Pan (CoRR, 2024)

Towards Trustworthy AI-Enabled Decision Support Systems: Validation of the Multisource AI Scorecard Table (MAST). - Pouria Salehi; Yang Ba; Nayoung Kim; Ahmadreza Mosallanezhad; Anna Pan; Myke C. Cohen; Yixuan Wang; Jieqiong Zhao; Shawaiz Bhatti; James Sung; Erik Blasch; Michelle V. Mancenido; et al. (J. Artif. Intell. Res., 2024)

Evaluating the Impact of Uncertainty Visualization on Model Reliance. - Jieqiong Zhao; Yixuan Wang; Michelle V. Mancenido; Erin K. Chiou; Ross Maciejewski (IEEE Trans. Vis. Comput. Graph., 2024)