Nick Jin Sean Lim

Orcid: 0000-0003-4690-5780

According to our database1, Nick Jin Sean Lim authored at least 10 papers between 2020 and 2025.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
A comparative study of four deep learning algorithms for predicting tree stem radius measured by dendrometer: A case study.
Ecol. Informatics, 2025

Detecting Domain Shifts in Myoelectric Activations: Challenges and Opportunities in Stream Learning.
Proceedings of the PRICAI 2025: Trends in Artificial Intelligence, 2025

2024
The Impact of Data Aggregation: Advocating for Individualized Analysis in Wearable Sensor Research.
Proceedings of the 36th Australasian Conference on Human-Computer Interaction, OzCHI 2024, Meanjin, Brisbane, Australia, 30 November 2024, 2024

Time-Evolving Data Science and Artificial Intelligence for Advanced Open Environmental Science (TAIAO) Programme.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

AA-RPN: Adaptive Anchor-Based Region Proposal Network for Remote Sensing Object Detection.
Proceedings of the Neural Information Processing - 31st International Conference, 2024

2022
A simple but strong baseline for online continual learning: Repeated Augmented Rehearsal.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
What a SHAME: Smart Assistant Voice Command Fingerprinting Utilizing Deep Learning.
Proceedings of the WPES '21: Proceedings of the 20th Workshop on Workshop on Privacy in the Electronic Society, 2021

Studying and Exploiting the Relationship Between Model Accuracy and Explanation Quality.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Perceptual improvements for Super-Resolution of Satellite Imagery.
Proceedings of the 36th International Conference on Image and Vision Computing New Zealand, 2021

2020
A Diversity-aware Model for Majority Vote Ensemble Accuracy.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020


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