Pamela Ventola
Orcid: 0000-0002-8062-0626
According to our database1,
Pamela Ventola
authored at least 28 papers
between 2015 and 2023.
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Bibliography
2023
Stratification of Children with Autism Spectrum Disorder Through Fusion of Temporal Information in Eye-gaze Scan-Paths.
ACM Trans. Knowl. Discov. Data, February, 2023
2022
Proceedings of the ETRA 2022: Symposium on Eye Tracking Research and Applications, Seattle, WA, USA, June 8, 2022
2021
Medical Image Anal., 2021
Proceedings of the Information Processing in Medical Imaging, 2021
Proceedings of the ICMI '21: International Conference on Multimodal Interaction, 2021
2020
Multi-site fMRI analysis using privacy-preserving federated learning and domain adaptation: ABIDE results.
Medical Image Anal., 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Demographic-Guided Attention in Recurrent Neural Networks for Modeling Neuropathophysiological Heterogeneity.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Graph embedding using Infomax for ASD classification and brain functional difference detection.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020
Estimating Reproducible Functional Networks Associated with Task Dynamics Using Unsupervised LSTMS.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Selection of Eye-Tracking Stimuli for Prediction by Sparsely Grouped Input Variables for Neural Networks: towards Biomarker Refinement for Autism.
Proceedings of the ETRA '20: 2020 Symposium on Eye Tracking Research and Applications, 2020
2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Prediction of Treatment Outcome for Autism from Structure of the Brain Based On Sure Independence Screening.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Efficient Interpretation of Deep Learning Models Using Graph Structure and Cooperative Game Theory: Application to ASD Biomarker Discovery.
Proceedings of the Information Processing in Medical Imaging, 2019
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
2018
Improving social skills in children with ASD using a long-term, in-home social robot.
Sci. Robotics, 2018
Prediction of Autism Treatment Response from Baseline fMRI using Random Forests and Tree Bagging.
CoRR, 2018
Proceedings of the PRedictive Intelligence in MEdicine - First International Workshop, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Prediction of Pivotal response treatment outcome with task fMRI using random forest and variable selection.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2-Channel convolutional 3D deep neural network (2CC3D) for fMRI analysis: ASD classification and feature learning.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Combining phenotypic and resting-state fMRI data for autism classification with recurrent neural networks.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017
2015
Autonomously detecting interaction with an affective robot to explore connection to developmental ability.
Proceedings of the 2015 International Conference on Affective Computing and Intelligent Interaction, 2015