Dr. Valles’s “Data Augmentation for Classifying Multiple Sclerosis Severity through Inertial Measurement Unit-Based Gait Analysis” collaborative paper has been accepted to the Seventh Workshop in Artificial Intelligence Techniques for BioMedicine and HealthCare (AIBH) at the 2024 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2024) and will be presented in December in Lisbon, Portugal.
Dr. Valles’s collaborative paper “Development of an Augmented Reality Handwashing Tool for Children with Autism Spectrum Disorder” has been accepted to the 2024 IEEE Future Networks World Forum (FNWF) and will be presented in October in Dubai, UAE.
Dr. Valles’s collaborative paper “Virtual Reality on Assessing the Motor Skills of Individuals With Autism Spectrum Disorder” has been accepted to the 2024 IEEE 15th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) and will be presented in October at the IBM T. J. Watson Research Center, New York.
Hiroshi‘s “Fully Auto-Regressive Multi-Modal Large Language Model for Contextual Emotion Recognition” paper has been accepted to the 2024 IEEE 15th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON). It will be presented in October at the IBM T. J. Watson Research Center in New York.
Shafiqul‘s “Deepfake Detection Using Transfer Learning” paper has been accepted to the 2024 IEEE 15th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON). It will be presented in October at the IBM T. J. Watson Research Center in New York.
Dr. Valles’s “Enhancing Early Diagnosis of Autism With Machine Learning Algorithms Using Postural Control Features” collaborative paper has been accepted to the 2024 IEEE 15th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON). It will be presented in October at the IBM T. J. Watson Research Center in New York.
Gavin Jackson’s paper, “Dataset Enlargement With Generative Adversarial Neural Networks,” has been accepted to the 2024 IEEE World AI IoT Congress (AIIoT).
Dr. Valles’s collaboration paper, “Traffic Safety Through Machine Learning: A Study of Crash Severity Factors,” has been accepted to the 2024 IEEE World AI IoT Congress (AIIoT).
Saad Rafiq and Erich Ellsworth‘s collaboration paper with HiPE Alums Adenrele Ishola, Oscar Resendiz, and Susmitha Haripriya Varanasi, “Design of Autonomous Rover for Firefighter Rescue: Integrating Deep Learning With ROS2,” has been accepted to the 2024 IEEE World AI IoT Congress (AIIoT).
Dr. Valles’s collaboration paper with Faria Farzana, “Enhancing Pedestrian Safety: Predicting Movements With Deep Learning Models,” has been accepted for the 2024 IEEE World AI IoT Congress (AIIoT).
