Ali Abedi

Orcid: 0000-0002-7393-1362

Affiliations:
  • University Health Network (UHN), KITE Research Institute, Toronto, ON, Canada
  • University of Toronto, ON, Canada
  • Tarbiat Modares University, Department of Electrical and Computer Engineering, Tehran, Iran (former, PhD)


According to our database1, Ali Abedi authored at least 30 papers between 2016 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
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PhD thesis 
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Links

Online presence:

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Bibliography

2025
OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments.
CoRR, July, 2025

ChestGPT: Integrating Large Language Models and Vision Transformers for Disease Detection and Localization in Chest X-Rays.
CoRR, July, 2025

Benchmarking Early Agitation Prediction in Community-Dwelling People with Dementia Using Multimodal Sensors and Machine Learning.
CoRR, June, 2025

Supervised Contrastive Learning for Ordinal Engagement Measurement.
CoRR, May, 2025

Dynamics of Affective States During Takeover Requests in Conditionally Automated Driving Among Older Adults with and without Cognitive Impairment.
CoRR, May, 2025

Rehabilitation Exercise Quality Assessment and Feedback Generation Using Large Language Models with Prompt Engineering.
CoRR, May, 2025

Rehabilitation exercise quality assessment through supervised contrastive learning with hard and soft negatives.
Medical Biol. Eng. Comput., January, 2025

Multimodal Sensor Dataset for Monitoring Older Adults Post Lower-Limb Fractures in Community Settings.
CoRR, January, 2025

Explaining Recovery Trajectories of Older Adults Post Lower-Limb Fracture Using Modality-Wise Multiview Clustering and Large Language Models.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2025

2024
Correlations between Social Isolation and Functional Decline in Older Adults after Lower Limb Fractures Using Multimodal Sensors: A Pilot Study.
Algorithms, September, 2024

FedSL: Federated split learning on distributed sequential data in recurrent neural networks.
Multim. Tools Appl., March, 2024

Bag of states: a non-sequential approach to video-based engagement measurement.
Multim. Syst., February, 2024

Artificial intelligence-driven virtual rehabilitation for people living in the community: A scoping review.
npj Digit. Medicine, 2024

Affect-driven ordinal engagement measurement from video.
Multim. Tools Appl., 2024

UlcerGPT: A Multimodal Approach Leveraging Large Language and Vision Models for Diabetic Foot Ulcer Image Transcription.
Proceedings of the Pattern Recognition. ICPR 2024 International Workshops and Challenges, 2024

Engagement Measurement Based on Facial Landmarks and Spatial-Temporal Graph Convolutional Networks.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

2023
Detecting disengagement in virtual learning as an anomaly using temporal convolutional network autoencoder.
Signal Image Video Process., October, 2023

Cross-Modal Video to Body-Joints Augmentation for Rehabilitation Exercise Quality Assessment.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023

Rehabilitation Exercise Repetition Segmentation and Counting Using Skeletal Body Joints.
Proceedings of the 20th Conference on Robots and Vision, 2023

2022
Detecting Disengagement in Virtual Learning as an Anomaly.
CoRR, 2022

Inconsistencies in Measuring Student Engagement in Virtual Learning - A Critical Review.
CoRR, 2022

Step Counting with Attention-based LSTM.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

MAISON - Multimodal AI-based Sensor platform for Older Individuals.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Supervised Contrastive Learning for Detecting Anomalous Driving Behaviours from Multimodal Videos.
Proceedings of the 19th Conference on Robots and Vision, 2022

2021
Modified Supervised Contrastive Learning for Detecting Anomalous Driving Behaviours.
CoRR, 2021

Affect-driven Engagement Measurement from Videos.
CoRR, 2021

Improving state-of-the-art in Detecting Student Engagement with Resnet and TCN Hybrid Network.
Proceedings of the 18th Conference on Robots and Vision, 2021

2017
Text-image super-resolution through anchored neighborhood regression with multiple class-specific dictionaries.
Signal Image Video Process., 2017

Text image super resolution using within-scale repetition of characters and strokes.
Multim. Tools Appl., 2017

2016
Stroke width-based directional total variation regularisation for document image super resolution.
IET Image Process., 2016


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