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ORCIDMichelle V. Mancenido
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2020 – today
- 2024
[j6]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:
Towards Trustworthy AI-Enabled Decision Support Systems: Validation of the Multisource AI Scorecard Table (MAST). J. Artif. Intell. Res. 80: 1311-1341 (2024)- [j5]Jieqiong Zhao
, Yixuan Wang, Michelle V. Mancenido, Erin K. Chiou, Ross Maciejewski:
Evaluating the Impact of Uncertainty Visualization on Model Reliance. IEEE Trans. Vis. Comput. Graph. 30(7): 4093-4107 (2024) - [c5]Arlen Fan, Fan Lei, Michelle Mancenido, Alan M. MacEachren, Ross Maciejewski:
Understanding Reader Takeaways in Thematic Maps Under Varying Text, Detail, and Spatial Autocorrelation. CHI 2024: 213:1-213:17 - [c4]Yang Ba, Michelle Mancenido, Rong Pan:
Fill In The Gaps: Model Calibration and Generalization with Synthetic Data. EMNLP 2024: 17211-17225 - [i10]Nayoung Kim, Myke C. Cohen, Yang Ba, Anna Pan, Shawaiz Bhatti, Pouria Salehi, James Sung, Erik Blasch, Michelle V. Mancenido, Erin K. Chiou:
PADTHAI-MM: A Principled Approach for Designing Trustable, Human-centered AI systems using the MAST Methodology. CoRR abs/2401.13850 (2024) - [i9]Arlen Fan, Fan Lei, Michelle Mancenido, Alan M. MacEachren, Ross Maciejewski:
Understanding Reader Takeaways in Thematic Maps Under Varying Text, Detail, and Spatial Autocorrelation. CoRR abs/2403.08260 (2024) - [i8]Yang Ba, Michelle V. Mancenido, Erin K. Chiou, Rong Pan:
Data Quality in Crowdsourcing and Spamming Behavior Detection. CoRR abs/2404.17582 (2024) - [i7]Yang Ba, Michelle V. Mancenido, Rong Pan:
Fill In The Gaps: Model Calibration and Generalization with Synthetic Data. CoRR abs/2410.10864 (2024) - [i6]Yang Ba, Michelle V. Mancenido, Rong Pan:
How Does Data Diversity Shape the Weight Landscape of Neural Networks? CoRR abs/2410.14602 (2024) - 2023
- [i5]Nayoung Kim, David Mosallanezhad, Lu Cheng, Michelle V. Mancenido, Huan Liu:
STANCE-C3: Domain-adaptive Cross-target Stance Detection via Contrastive Learning and Counterfactual Generation. CoRR abs/2309.15176 (2023) - [i4]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:
Evaluating Trustworthiness of AI-Enabled Decision Support Systems: Validation of the Multisource AI Scorecard Table (MAST). CoRR abs/2311.18040 (2023) - 2022
- [c3]Arlen Fan, Yuxin Ma, Michelle Mancenido, Ross Maciejewski:
Annotating Line Charts for Addressing Deception. CHI 2022: 80:1-80:12 - [c2]Mansooreh Karami, Ahmadreza Mosallanezhad, Michelle V. Mancenido, Huan Liu:
"Let's Eat Grandma": Does Punctuation Matter in Sentence Representation? ECML/PKDD (2) 2022: 588-604 - [c1]Ahmadreza Mosallanezhad, Mansooreh Karami, Kai Shu, Michelle V. Mancenido, Huan Liu:
Domain Adaptive Fake News Detection via Reinforcement Learning. WWW 2022: 3632-3640 - [i3]Ahmadreza Mosallanezhad, Mansooreh Karami, Kai Shu, Michelle V. Mancenido, Huan Liu:
Domain Adaptive Fake News Detection via Reinforcement Learning. CoRR abs/2202.08159 (2022) - 2021
- [j4]Brandon Mathis, Yuxin Ma, Michelle Mancenido, Ross Maciejewski:
Exploring the Design Space of Sankey Diagrams for the Food-Energy-Water Nexus. IEEE Computer Graphics and Applications 41(2): 25-34 (2021) - [j3]Anson R. Park, Michelle V. Mancenido, Douglas C. Montgomery:
A compound optimality criterion for D-efficient and separation-robust designs for the logistic regression model. Qual. Reliab. Eng. Int. 37(7): 3066-3083 (2021) - [i2]Mansooreh Karami, Ahmadreza Mosallanezhad, Michelle V. Mancenido, Huan Liu:
"Let's Eat Grandma": When Punctuation Matters in Sentence Representation for Sentiment Analysis. CoRR abs/2101.03029 (2021) - 2020
- [i1]Ahmadreza Mosallanezhad, Yasin N. Silva, Michelle V. Mancenido, Huan Liu:
Toward Privacy and Utility Preserving Image Representation. CoRR abs/2009.14376 (2020)
2010 – 2019
- 2019
- [j2]Anson R. Park, Michelle V. Mancenido, Douglas C. Montgomery:
Separation in D-optimal experimental designs for the logistic regression model. Qual. Reliab. Eng. Int. 35(3): 776-787 (2019) - 2012
- [j1]Michelle Mancenido, Erniel B. Barrios:
An AR-Sieve Bootstrap Control Chart for Autocorrelated Process Data. Qual. Reliab. Eng. Int. 28(4): 387-395 (2012)
Coauthor Index
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