Author

Alma M. Liezenga

Observed names: A.M. Liezenga, Alma Liezenga, Liezenga, A.M., Liezenga, Alma M.

Institution: Netherlands Organisation for Applied Scientific Research

Observed institutions: Netherlands Organisation for Applied Scientific Research, Delft University of Technology

ORCID: 0000-0003-3953-8839

Observed ORCID: 0000-0003-3953-8839

OpenAlex ID: A5098970617

The first mile towards access equity: Is on-demand microtransit a valuable addition to the transportation mix in suburban communities?

2024 · A.M. Liezenga, T. Verma, et al. · Transportation Research Interdisciplinary Perspectives · 30

Improving object detector training on synthetic data by starting with a strong baseline methodology

2024 · Frank A. Ruis, Alma Liezenga, et al. · Synthetic Data for Artificial Intelligence and Machine Learning: Tools, Techniques, and Applications · 13

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AutoDetect: designing an autoencoder-based detection method for poisoning attacks on object detection applications in the military domain

2025 · Alma M. Liezenga, Stefan Wijnja, et al. · SPIE Conference on Artificial Intelligence for Security and Defence Applications · 3

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On the use of simulated data for target recognition and mission planning

2024 · Friso G. Heslinga, Ella P. Fokkinga, et al. · SPIE Conference on Artificial Intelligence for Security and Defence Applications · 2

Beyond Benchmarks: Using VLMs to Reveal Systematic Classification Failures Under Real World Conditions

2026 · Alblas, D., Liezenga, A.M., et al. · arXiv (Cornell University)

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Training with synthetic data for drone detection in thermal imagery

2026 · Liiv, Tanel, Soodla, Sander, et al. · arXiv (Cornell University)

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Comparative Study of Out-of-the-Box Technology for Automatic Target Detection and Recognition

2026 · Liezenga, Alma M., Nijskens, Lotte, et al. · arXiv (Cornell University)

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Challenges in creating an experimental database for artificial intelligence: The EDF Store project

2026 · Langlois, S., Achour, W., et al. · TNO Repository

AI Modules for Defence Image Analysis: Intermediate results from the EDF-Store project

2026 · Kuijf, H.J., Boehrer, N., et al. · TNO Repository

Occlusion robustness of CLIP for military vehicle classification

2025 · Jan Erik van Woerden, Gertjan Burghouts, et al. · SPIE Conference on Artificial Intelligence for Security and Defence Applications

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Works count: 10

Citation count: 48

H-index: 3

I10-index: 2