Michelle V. Mancenido

17 papers A* 1Journal 14Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Measuring Dataset Diversity from a Geometric Perspective.
CoRR
Yang Ba, Mohammad Sadeq Abolhasani, Michelle V. Mancenido, Rong Pan
2024 J jnl
Data Quality in Crowdsourcing and Spamming Behavior Detection.
CoRR
Yang Ba, Michelle V. Mancenido, Erin K. Chiou, Rong Pan
2024 J jnl
Evaluating the Impact of Uncertainty Visualization on Model Reliance.
IEEE Trans. Vis. Comput. Graph.
Jieqiong Zhao, Yixuan Wang, Michelle V. Mancenido, Erin K. Chiou, Ross Maciejewski
2024 J jnl
Fill In The Gaps: Model Calibration and Generalization with Synthetic Data.
CoRR
Yang Ba, Michelle V. Mancenido, Rong Pan
2024 J jnl
How Does Data Diversity Shape the Weight Landscape of Neural Networks?
CoRR
Yang Ba, Michelle V. Mancenido, Rong Pan
2024 J jnl
PADTHAI-MM: A Principled Approach for Designing Trustable, Human-centered AI systems using the MAST Methodology.
CoRR
Nayoung Kim, Myke C. Cohen, Yang Ba, Anna Pan, Shawaiz Bhatti, Pouria Salehi, James Sung, Erik Blasch, Michelle V. Mancenido, Erin K. Chiou
2024 — conf
Robust Stance Detection: Understanding Public Perceptions in Social Media.
ASONAM (2)
Nayoung Kim, David Mosallanezhad, Lu Cheng, Michelle V. Mancenido, Huan Liu
2024 J jnl
Towards Trustworthy AI-Enabled Decision Support Systems: Validation of the Multisource AI Scorecard Table (MAST).
J. Artif. Intell. Res.
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
2023 J jnl
Evaluating Trustworthiness of AI-Enabled Decision Support Systems: Validation of the Multisource AI Scorecard Table (MAST).
CoRR
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
2023 J jnl
STANCE-C3: Domain-adaptive Cross-target Stance Detection via Contrastive Learning and Counterfactual Generation.
CoRR
Nayoung Kim, David Mosallanezhad, Lu Cheng, Michelle V. Mancenido, Huan Liu
2022 — conf
"Let's Eat Grandma": Does Punctuation Matter in Sentence Representation?
ECML/PKDD (2)
Mansooreh Karami, Ahmadreza Mosallanezhad, Michelle V. Mancenido, Huan Liu
2022 A* conf
Domain Adaptive Fake News Detection via Reinforcement Learning.
WWW
Ahmadreza Mosallanezhad, Mansooreh Karami, Kai Shu, Michelle V. Mancenido, Huan Liu
2022 J jnl
Domain Adaptive Fake News Detection via Reinforcement Learning.
CoRR
Ahmadreza Mosallanezhad, Mansooreh Karami, Kai Shu, Michelle V. Mancenido, Huan Liu
2021 J jnl
"Let's Eat Grandma": When Punctuation Matters in Sentence Representation for Sentiment Analysis.
CoRR
Mansooreh Karami, Ahmadreza Mosallanezhad, Michelle V. Mancenido, Huan Liu
2021 J jnl
A compound optimality criterion for D-efficient and separation-robust designs for the logistic regression model.
Qual. Reliab. Eng. Int.
Anson R. Park, Michelle V. Mancenido, Douglas C. Montgomery
2020 J jnl
Toward Privacy and Utility Preserving Image Representation.
CoRR
Ahmadreza Mosallanezhad, Yasin N. Silva, Michelle V. Mancenido, Huan Liu
2019 J jnl
Separation in D-optimal experimental designs for the logistic regression model.
Qual. Reliab. Eng. Int.
Anson R. Park, Michelle V. Mancenido, Douglas C. Montgomery