Delaram Yazdansepas

Orcid: 0000-0001-7998-8792

According to our database1, Delaram Yazdansepas authored at least 15 papers between 2010 and 2023.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
SIGCSE Technical Symposium 2023: Information for Attendees.
ACM SIGCSE Bull., January, 2023

SIGCSE Technical Symposium 2023 Report.
ACM SIGCSE Bull., 2023

Real-Time Human Activity Classification Using Gait Cycle Averaging and Biometric Heuristics.
Proceedings of the International Conference on Machine Learning and Applications, 2023

Geometric Gait Clustering for Unobtrusive Analysis.
Proceedings of the 19th IEEE International Conference on Body Sensor Networks, 2023

2020
How Personalized Feedback Emails Can Enhance Participation Rate in Online Courses.
Proceedings of the 51st ACM Technical Symposium on Computer Science Education, 2020

Active Learning in CS2 and Discrete Mathematics.
Proceedings of the 51st ACM Technical Symposium on Computer Science Education, 2020

Improving Student Sentiment of Active Learning in CS.
Proceedings of the ICER 2020: International Computing Education Research Conference, 2020

Designing an Interactive Eco-Feedback Environment.
Proceedings of the HCI International 2020 - Posters - 22nd International Conference, 2020

Personalized Feedback Emails: A Case Study on Online Introductory Computer Science Courses.
Proceedings of the 2020 ACM Southeast Conference, 2020

2018
Towards Efficient and Real-Time Human Activity Recognition Using Wearable Sensors: A Shapelet-Based Pattern Matching Approach.
Proceedings of the 13th EAI International Conference on Body Area Networks, 2018

2017
Towards robust & realtime human activity recognition using wearable sensors.
PhD thesis, 2017

Statistical Analysis of Window Sizes and Sampling Rates in Human Activity Recognition.
Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017), 2017

2016
A Hierarchical Meta-Classifier for Human Activity Recognition.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

A Multi-featured Approach for Wearable Sensor-Based Human Activity Recognition.
Proceedings of the 2016 IEEE International Conference on Healthcare Informatics, 2016

2010
Multi-Agent Systems: A Survey.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2010


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