Huynh, Manh, and Gita Alaghband.
"Trajectory Prediction by Coupling Scene-LSTM with Human Movement LSTM."
ISVC 2019 (Oral Presentation).
[paper.]
Batista, Ligia, Nicholas V. Stence, David M. Mirsky, Terri Lewis, Sarah Graber,
Henok E. Ghebrechristos, Gita Alaghband, Amy K. Connery, Brent R. O'Neill,
and Daniel M. Lindberg.
"Cytotoxic edema is associated with injury severity but not abusive mechanism in young children with traumatic brain injury."
Child Abuse & Neglect, Volume 161, 2025.
[paper]
McCarthy, S., and Gita Alaghband.
"Fin-ALICE: Artificial Linguistic Intelligence Causal Econometrics."
Journal of Risk and Financial Management, 17(12), 537, 2024.
[paper]
Ghebrechristos, H., and Gita Alaghband.
"Immunizing Image Classifiers Against Localized Adversary Attack."
International Journal of Artificial Intelligence & Applications (IJAIA),
15(2), 77–99, 2024.
[paper]
Linck, I., Gomez, A. T., and Gita Alaghband.
"SVG-CNN: A shallow CNN based on VGGNet applied to intra prediction partition block in HEVC."
Multimedia Tools and Applications, 2024.
[paper]
Ghebrechristos, H., and Gita Alaghband.
"3D Convolution for Proactive Defense Against Localized Adversary Attacks."
International Conference on Soft Computing, Artificial Intelligence and Applications (SCAI), 2023.
[paper]
McCarthy, S., and Gita Alaghband.
"The Emotion Magnitude Effect: Navigating Market Dynamics Amidst Supply Chain Events."
Journal of Risk and Financial Management, 16(12), 490, 2023.
[paper]
Huynh, Manh, and Gita Alaghband.
"Multi-modal Sensor Framework with Learnable Uncertainty Estimator for Pedestrian Trajectory Prediction."
IEEE Intelligent Transportation Systems Conference (ITSC), 2023.
[paper]
Alghamdi, T., and Gita Alaghband.
"SAFEPA: An Expandable Multi-Pose Facial Expressions Pain Assessment Method."
Applied Sciences, 13, 7206, 2023.
[paper]
McCarthy, S., and Gita Alaghband.
"Enhancing Financial Market Analysis and Prediction with Emotion Corpora and News Co-Occurrence Network."
Journal of Risk and Financial Management, 16(4), 226, 2023.
[paper]
Ghebrechristos, H., Stence, N., Mirsky, D., Huynh, M., Batista, L., Alaghband, G.,
O’Neill, B., Moulton, S., and Lindberg, D.
"Deep Learning Mixture-of-Experts for Cytotoxic Edema Assessment in Infants and Children."
IEEE International Symposium on Biomedical Imaging (ISBI), 2023.
[paper]
Alghamdi, T., and Gita Alaghband.
"Facial Expressions Based Automatic Pain Assessment System."
Applied Sciences, 12(13), 6423, 2022.
[paper]
Huynh, Manh, and Gita Alaghband.
"GPRAR: Graph Convolutional Network based Pose Reconstruction and Action Recognition for Human Trajectory Prediction."
2021.
[paper]
Takano, N., and Gita Alaghband.
"Generator From Edges: Reconstruction of Facial Images."
ISVC 2020.
Huynh, Manh, and Gita Alaghband.
"AOL: Adaptive Online Learning for Human Trajectory Prediction in Dynamic Video Scenes."
BMVC 2020.
Ghebrechristos, H., and Gita Alaghband.
"Deep Curriculum Learning Optimization."
SN Computer Science, 1, 245, 2020.
[paper]
Alaghband, Gita, and Hamed Z. Fardi.
"Parallel Programming Multi-core Computers."
STEM Education Hawaii International Conference, 2016.
