Michelle V. Mancenido

According to our database, Michelle V. Mancenido authored at least 17 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., July, 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, Erin K. Chiou

J. Artif. Intell. Res., 2024

Data Quality in Crowdsourcing and Spamming Behavior Detection.

Yang Ba, Michelle V. Mancenido, Erin K. Chiou, Rong Pan

CoRR, 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

Fill In The Gaps: Model Calibration and Generalization with Synthetic Data.

Yang Ba, Michelle Mancenido, Rong Pan

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 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

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

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, Erin K. Chiou

CoRR, 2023

STANCE-C3: Domain-adaptive Cross-target Stance Detection via Contrastive Learning and Counterfactual Generation.

Nayoung Kim, David Mosallanezhad, Lu Cheng, Michelle V. Mancenido, Huan Liu

CoRR, 2023

2022

Domain Adaptive Fake News Detection via Reinforcement Learning.

Ahmadreza Mosallanezhad, Mansooreh Karami, Kai Shu, Michelle V. Mancenido, Huan Liu

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

"Let's Eat Grandma": Does Punctuation Matter in Sentence Representation?

Mansooreh Karami, Ahmadreza Mosallanezhad, Michelle V. Mancenido, Huan Liu

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Annotating Line Charts for Addressing Deception.

Arlen Fan, Yuxin Ma, Michelle Mancenido, Ross Maciejewski

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

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

"Let's Eat Grandma": When Punctuation Matters in Sentence Representation for Sentiment Analysis.

Mansooreh Karami, Ahmadreza Mosallanezhad, Michelle V. Mancenido, Huan Liu

CoRR, 2021

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

2020

Toward Privacy and Utility Preserving Image Representation.

Ahmadreza Mosallanezhad, Yasin N. Silva, Michelle V. Mancenido, Huan Liu

CoRR, 2020

2019

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

2012

An AR-Sieve Bootstrap Control Chart for Autocorrelated Process Data.

Michelle Mancenido, Erniel B. Barrios

Qual. Reliab. Eng. Int., 2012