Publications

2025
  • Batista, Ligia; Stence, Nicholas V.; Mirsky, David M.; Lewis, Terri; Graber, Sarah; Ghebrechristos, Henok E.; Alaghband, Gita; Connery, Amy K.; O'Neill, Brent R.; Lindberg, Daniel M. "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]
2024
  • McCarthy, S., Alaghband, Gita "Fin-ALICE: Artificial Linguistic Intelligence Causal Econometrics." Journal of Risk and Financial Management, 17(12), 537 (18 pages), 2024. [paper]
  • Ghebrechristos, Henok E., Alaghband, Gita "Immunizing Image Classifiers Against Localized Adversary Attack." International Journal of Artificial Intelligence & Applications (IJAIA), Vol. 15, No. 2, pp. 77–99, March 2024. [paper]
  • Linck, I., Gomez, A. T., Alaghband, Gita "SVG-CNN: A shallow CNN based on VGGNet applied to intra prediction partition block in HEVC." Multimedia Tools and Applications, 2024. [paper]
2023
  • Ghebrechristos, Henok E., Alaghband, Gita "3D Convolution for Proactive Defense Against Localized Adversary Attacks." 12th International Conference on Soft Computing, Artificial Intelligence and Applications (SCAI 2023), Sydney, Australia, December 2023.
  • McCarthy, S., Alaghband, Gita "The Emotion Magnitude Effect: Navigating Market Dynamics Amidst Supply Chain Events." Journal of Risk and Financial Management, 16(12), 490 (21 pages), 2023. [paper]
  • Huynh, Manh, Alaghband, Gita "Multi-modal Sensor Framework with Learnable Uncertainty Estimator for Pedestrian Trajectory Prediction." 2023 IEEE Intelligent Transportation Systems Conference (ITSC 2023). [paper]
  • Alghamdi, T., Alaghband, Gita "SAFEPA: An Expandable Multi-Pose Facial Expressions Pain Assessment Method." Applied Sciences, 13, 7206, 2023. [paper]
  • McCarthy, S., Alaghband, Gita "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, Henok E., Stence, Nicholas V., Mirsky, David M., Huynh, Manh, Batista, Ligia, Alaghband, Gita, O'Neill, Brent R., Moulton, Steven, Lindberg, Daniel M. "Deep Learning Mixture-of-Experts for Cytotoxic Edema Assessment in Infants and Children." 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), Cartagena de Indias, Colombia. [paper]
  • Batista, Ligia, Stence, Nicholas V., Mirsky, David M, Lewis, Terri, Graber, Sarah, Ghebrechristos, Henok E., Alaghband, Gita, O'Neill, Brent R., Lindberg, Daniel M "Cytotoxic Edema is Associated with Injury Severity but not Abusive Mechanism in Young Children with Severe Brain Injury." Annual Meeting of the Helfer Society, Tucson, AZ, April 2023.
  • Linck, I., Gomez, A. T., Alaghband, Gita "CNN Quadtree Depth Decision Prediction for Block Partitioning in HEVC Intra-Mode." 2023 Data Compression Conference (DCC 2023), Utah.
  • Huynh, Manh, Alaghband, Gita "Online Adaptive Temporal Memory with Certainty Estimation for Human Trajectory Prediction." Winter Conference on Applications of Computer Vision (WACV 2023).
2022
  • Alghamdi, T., Alaghband, Gita "Facial Expressions Based Automatic Pain Assessment System." Applied Sciences, 12(13), 6423 (16 pages), 2022. [paper]
2021
  • Huynh, Manh, Alaghband, Gita "GPRAR: Graph Convolutional Network based Pose Reconstruction and Action Recognition for Human Trajectory Prediction." 2021. [paper]
2020
  • Takano, N., Alaghband, Gita. "Generator From Edges: Reconstruction of Facial Images." ISVC 2020.
  • Huynh, Manh, Alaghband, Gita. "AOL: Adaptive Online Learning for Human Trajectory Prediction in Dynamic Video Scenes." BMVC 2020.
  • Ghebrechristos, Henok E., Alaghband, Gita "Deep Curriculum Learning Optimization." SN Computer Science, 1, 245, 2020. [paper]
  • Alghamdi, T., Alaghband, Gita. "A Novel CC*CNN Model for Face Recognition using Edge." ICITA 2020 (Best Paper Award).
2019
  • Ghebrechristos, Henok E., Alaghband, Gita "Information Theory-Based Curriculum Learning Factory to Optimize Training." ACPR 2019, Lecture Notes in Computer Science, Auckland, New Zealand.
  • Ghebrechristos, Henok E., Alaghband, Gita "Optimizing Training using Information Theory-Based Curriculum Learning Factory." 31st International Conference on Tools with Artificial Intelligence (ICTAI 2019).
  • Alghamdi, T., Alaghband, Gita "High Performance Parallel Sort for Shared and Distributed Memory MIMD." Applied Computing 2019, Cagliari, Italy.
  • Huynh, Manh, Alaghband, Gita "Trajectory Prediction by Coupling Scene-LSTM with Human Movement LSTM." ISVC 2019, Lecture Notes in Computer Science. [paper]
  • Huynh, Manh, Alaghband, Gita "Scene-LSTM: A Model for Human Trajectory Prediction." arXiv, 2019.
  • Takano, N., Alaghband, Gita "SRGAN: What the neural network learns." IPCV 2019.
2018
  • Ghebrechristos, Henok E., Alaghband, Gita. "Expediting Training Using Information Theory-Based Patch Ordering Algorithm." CSCI 2018.
  • Linck, I., Alaghband, Gita "Test Zonal Search based on Region Label (TZSR) for Motion Estimation in HEVC." IEEE MMSP 2018. [paper]
  • Huynh, Manh, Alaghband, Gita. "Spatiotemporal KSVD Dictionary Learning for Online Multi-target Tracking." CRV 2018.
  • Gnabasik, D., Alaghband, Gita. "A Data-driven Biomarker Computational Model for Lung Disease Classification." BICOB 2018.
2017
  • Ghebrechristos, Henok E., Alaghband, Gita. "RetiNet - Feature Extractor for Learning Patterns..." CSCI 2017.
  • Simonton, T., Alaghband, Gita "Efficient and Accurate Word2Vec Implementations in GPU and Shared-Memory Multicore Architectures." IEEE HPEC 2017. [paper]
2016
  • Alaghband, Gita, Fardi, Hamed Z. "Parallel Programming Multi-core Computers." STEM Education Hawaii International Conference, 2016. [paper]
2015
  • Vu, L., Alaghband, Gita. "A Load Balancing Parallel Method for Frequent Pattern Mining on Multi-core Cluster." SpringSim 2015.
  • Vu, L., Alaghband, Gita. "A Self-Adaptive Method for Frequent Pattern Mining using a CPU-GPU Hybrid Model." SpringSim 2015.
2014
  • Vu, L., Alaghband, Gita "Novel parallel method for association rule mining on multi-core shared memory systems." Parallel Computing, 2014. [paper]
  • Kern, D., Alaghband, Gita "Parallel Processing of Irregular Workloads on the GPGPU: Adaptive Quadrature." PDPTA 2014. [paper]
  • Gnabasik, D., Alaghband, Gita "Discrete Time Evolution of Proteomic Biomarkers." CSCI 2014. [paper]
2013
  • Vu, L.; Alaghband, Gita. "Mining Frequent Patterns Based on Data Characteristics." Proceedings of the ACM International Workshop on Data-Intensive Scalable Computing Systems (DISCS 2013), held in conjunction with Supercomputing (SC 2013), Denver, Colorado, USA, pp. 49–54.
  • Aydin, A. A.; Alaghband, Gita. "Sequential & Parallel Hybrid Approach for Non-Recursive Most Significant Digit Radix Sort." Proceedings of the IADIS Applied Computing Conference 2013, Fort Worth, Texas, USA, October 2013, pp. 51–59.
  • Mohammed, M.; Alaghband, Gita. "An Improved Parallel Eight Direction Prewitt Edge Detection Algorithm." Proceedings of the 17th International Conference on Image Processing, Computer Vision, & Pattern Recognition (IPCV 2013), Las Vegas, Nevada, USA.
2012
  • Vu, L.; Alaghband, Gita. "Mining Frequent Patterns Based on Data Characteristics." Proceedings of the International Conference on Information & Knowledge Engineering (IKE 2012), Las Vegas, Nevada, USA.
  • Gnabasik, D.; Alaghband, Gita. "Proteomic Data Analysis: A Topological Approach." Proceedings of the International Conference on Bioinformatics and Computational Biology (BIOCOMP 2012), Las Vegas, Nevada, USA.
  • Vu, L.; Alaghband, Gita. "High Performance Frequent Pattern Mining on Multi-core Cluster." Proceedings of the IEEE International Conference on Collaboration Technologies and Systems (CTS 2012), Denver, Colorado, USA.
  • Gnabasik, D.; Alaghband, Gita. "Topological Analysis of Proteomic Data." Proceedings of the IEEE International Conference on Collaboration Technologies and Systems (CTS 2012), Denver, Colorado, USA.
2011
  • Vu, L.; Alaghband, Gita. "A Fast Algorithm Combining FP-Tree and TID-List for Frequent Pattern Mining." Proceedings of the International Conference on Information & Knowledge Engineering (IKE 2011), Las Vegas, Nevada, USA.
  • Alaghband, Gita. "Relationship model: a network model for integrating human expertise with systematic distributed processes." Journal of Software Maintenance and Evolution: Research and Practice, Volume 23, Issue 2, March 2011, Pages 109–135. [paper]