Emil J. Njor

According to our database, Emil J. Njor authored at least 7 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Data Aware Differentiable Neural Architecture Search for Tiny Keyword Spotting Applications.

Yujia Shi, Emil J. Njor, Pablo Martínez-Nuevo, Sven Ewan Shepstone, Xenofon Fafoutis

CoRR, July, 2025

Fast data aware neural architecture search via supernet accelerated evaluation.

Emil J. Njor, Colby R. Banbury, Xenofon Fafoutis

Internet Things, 2025

2024

Wake Vision: A Large-scale, Diverse Dataset and Benchmark Suite for TinyML Person Detection.

Colby R. Banbury, Emil J. Njor, Matthew Stewart, Pete Warden, Manjunath Kudlur, Nat Jeffries, Xenofon Fafoutis, Vijay Janapa Reddi

CoRR, 2024

A Holistic Review of the TinyML Stack for Predictive Maintenance.

Emil J. Njor, Mohammad Amin Hasanpour, Jan Madsen, Xenofon Fafoutis

IEEE Access, 2024

2023

Data Aware Neural Architecture Search.

Emil J. Njor, Jan Madsen, Xenofon Fafoutis

CoRR, 2023

2022

A Primer for tinyML Predictive Maintenance: Input and Model Optimisation.

Emil J. Njor, Jan Madsen, Xenofon Fafoutis

Proceedings of the Artificial Intelligence Applications and Innovations, 2022

2020

Conformance Testing in UPPAAL: A diabolic approach.

Emil J. Njor, Florian Lorber, Nikolaj I. Schmidt, Sebastian R. Petersen

Proceedings of the 13th IEEE International Conference on Software Testing, 2020