Pamela Ventola
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
5
Active years
2015–2022
Best venue rank
A
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2022 | ETRA | Calibration Error Prediction: Ensuring High-Quality Mobile Eye-Tracking. | Beibin Li, James C. Snider, Quan Wang, Sachin Mehta, Claire E. Foster, Erin Barney, Linda G. Shapiro, Pamela Ventola, Frederick Shic |
| 2021 | ICMI | Learning Oculomotor Behaviors from Scanpath. | Beibin Li, Nicholas Nuechterlein, Erin Barney, Claire E. Foster, Minah Kim, Monique Mahony, Adham Atyabi, Li Feng, Quan Wang, Pamela Ventola, Linda G. Shapiro, Frederick Shic |
| 2020 | ETRA | Selection of Eye-Tracking Stimuli for Prediction by Sparsely Grouped Input Variables for Neural Networks: towards Biomarker Refinement for Autism. | Beibin Li, Erin Barney, Caitlin Hudac, Nicholas Nuechterlein, Pamela Ventola, Linda G. Shapiro, Frederick Shic |
| 2020 | MICCAI | Demographic-Guided Attention in Recurrent Neural Networks for Modeling Neuropathophysiological Heterogeneity. | Nicha C. Dvornek, Xiaoxiao Li, Juntang Zhuang, Pamela Ventola, James S. Duncan |
| 2020 | MICCAI | Efficient Shapley Explanation for Features Importance Estimation Under Uncertainty. | Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Yufeng Gu, Pamela Ventola, James S. Duncan |
| 2020 | MICCAI | Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis. | Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Muhan Zhang, Juntang Zhuang, Pamela Ventola, James S. Duncan |
| 2019 | ICIP | A Facial Affect Analysis System for Autism Spectrum Disorder. | Beibin Li, Sachin Mehta, Deepali Aneja, Claire E. Foster, Pamela Ventola, Frederick Shic, Linda G. Shapiro |
| 2019 | MICCAI | Graph Neural Network for Interpreting Task-fMRI Biomarkers. | Xiaoxiao Li, Nicha C. Dvornek, Yuan Zhou, Juntang Zhuang, Pamela Ventola, James S. Duncan |
| 2019 | MICCAI | Invertible Network for Classification and Biomarker Selection for ASD. | Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Pamela Ventola, James S. Duncan |
| 2018 | MICCAI | Learning Generalizable Recurrent Neural Networks from Small Task-fMRI Datasets. | Nicha C. Dvornek, Daniel Y.-J. Yang, Pamela Ventola, James S. Duncan |
| 2018 | MICCAI | Brain Biomarker Interpretation in ASD Using Deep Learning and fMRI. | Xiaoxiao Li, Nicha C. Dvornek, Juntang Zhuang, Pamela Ventola, James S. Duncan |
| 2018 | MICCAI | Prediction of Severity and Treatment Outcome for ASD from fMRI. | Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Pamela Ventola, James S. Duncan |
| 2017 | MICCAI | Identifying Autism from Resting-State fMRI Using Long Short-Term Memory Networks. | Nicha C. Dvornek, Pamela Ventola, Kevin A. Pelphrey, James S. Duncan |
| 2015 | ACII | Autonomously detecting interaction with an affective robot to explore connection to developmental ability. | Laura Boccanfuso, Elizabeth S. Kim, James C. Snider, Quan Wang, Carla A. Wall, Lauren DiNicola, Gabriella Greco, Frdrick Shic, Brian Scassellati, Lilli Flink, Sharlene Lansiquot, Katarzyna Chawarska, Pamela Ventola |