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Tam V. Nguyen
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Tam V. Nguyen 0002 (aka: Tam Van Nguyen 0002) — University of Dayton, Department of Computer Science, OH, USA (and 3 more)
- Tam V. Nguyen 0003 (aka: Van Tam Nguyen 0003) — Helmholtz Centre for Environmental Research, Department of Hydrogeology, UFZ, Leipzig, Germany.
- Tam V. Nguyen 0004 (aka: Van-Tam Nguyen 0004, Van Tam Nguyen 0004) — Télécom ParisTech, Universití Paris Saclay, France (and 5 more)
- Van Tam Nguyen 0001 (aka: Van-Tam Nguyen 0001) — Télécom ParisTech, COMELEC Department, Paris, France (and 1 more)
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2020 – today
- 2024
- [j3]Van Tam Nguyen, Quoc Toan Nguyen, Van-Phong Vu:
Investigating potential barriers to construction digitalization in emerging economies: A study in Vietnam. Int. J. Inf. Manag. Data Insights 4(1): 100226 (2024) - [j2]Alaa Eddine Mazouz, Van-Tam Nguyen:
Online continual streaming learning for embedded space applications. J. Real Time Image Process. 21(3): 68 (2024) - [c11]Lorenzo Guerra, Linhan Xu, Paolo Bellavista, Thomas Chapuis, Guillaume Duc, Pavlo Mozharovskyi, Van-Tam Nguyen:
AI-Driven Intrusion Detection Systems (IDS) on the ROAD Dataset: A Comparative Analysis for Automotive Controller Area Network (CAN). CSCS 2024: 39-49 - [c10]Rémi Nahon, Ivan Luiz De Moura Matos, Van-Tam Nguyen, Enzo Tartaglione:
Debiasing Surgeon: Fantastic Weights and How to Find Them. ECCV (85) 2024: 435-452 - [c9]Aël Quélennec, Enzo Tartaglione, Pavlo Mozharovskyi, Van-Tam Nguyen:
Towards On-Device Learning on the Edge: Ways to Select Neurons to Update Under a Budget Constraint. WACV (Workshops) 2024: 685-694 - [i9]Rémi Nahon, Ivan Luiz De Moura Matos, Van-Tam Nguyen, Enzo Tartaglione:
Debiasing surgeon: fantastic weights and how to find them. CoRR abs/2403.14200 (2024) - [i8]Zhu Liao, Victor Quétu, Van-Tam Nguyen, Enzo Tartaglione:
NEPENTHE: Entropy-Based Pruning as a Neural Network Depth's Reducer. CoRR abs/2404.16890 (2024) - [i7]Lorenzo Guerra, Linhan Xu, Pavlo Mozharovskyi, Paolo Bellavista, Thomas Chapuis, Guillaume Duc, Van-Tam Nguyen:
AI-Driven Intrusion Detection Systems (IDS) on the ROAD dataset: A Comparative Analysis for automotive Controller Area Network (CAN). CoRR abs/2408.17235 (2024) - [i6]Maxime Girard, Victor Quétu, Samuel Tardieu, Van-Tam Nguyen, Enzo Tartaglione:
Memory-Optimized Once-For-All Network. CoRR abs/2409.05900 (2024) - 2023
- [c8]Rémi Nahon, Van-Tam Nguyen, Enzo Tartaglione:
Mining bias-target Alignment from Voronoi Cells. ICCV 2023: 4923-4932 - [c7]Zhu Liao, Victor Quétu, Van-Tam Nguyen, Enzo Tartaglione:
Can Unstructured Pruning Reduce the Depth in Deep Neural Networks? ICCV (Workshops) 2023: 1394-1398 - [c6]Ziyu Li, Enzo Tartaglione, Van-Tam Nguyen:
SCoTTi: Save Computation at Training Time with an adaptive framework. ICCV (Workshops) 2023: 1435-1444 - [c5]Yinghao Wang, Rémi Nahon, Enzo Tartaglione, Pavlo Mozharovskyi, Van-Tam Nguyen:
Optimized preprocessing and Tiny ML for Attention State Classification. SSP 2023: 695-699 - [c4]Van-Tam Nguyen, Enzo Tartaglione, Tuan Dinh:
AIoT-based Neural Decoding and Neurofeedback for Accelerated Cognitive Training: Vision, Directions and Preliminary Results. SSP 2023: 705-709 - [i5]Yinghao Wang, Rémi Nahon, Enzo Tartaglione, Pavlo Mozharovskyi, Van-Tam Nguyen:
Optimized preprocessing and Tiny ML for Attention State Classification. CoRR abs/2303.11371 (2023) - [i4]Rémi Nahon, Van-Tam Nguyen, Enzo Tartaglione:
Mining bias-target Alignment from Voronoi Cells. CoRR abs/2305.03691 (2023) - [i3]Zhu Liao, Victor Quétu, Van-Tam Nguyen, Enzo Tartaglione:
Can Unstructured Pruning Reduce the Depth in Deep Neural Networks? CoRR abs/2308.06619 (2023) - [i2]Aël Quélennec, Enzo Tartaglione, Pavlo Mozharovskyi, Van-Tam Nguyen:
Towards On-device Learning on the Edge: Ways to Select Neurons to Update under a Budget Constraint. CoRR abs/2312.05282 (2023) - [i1]Ziyu Lin, Enzo Tartaglione, Van-Tam Nguyen:
SCoTTi: Save Computation at Training Time with an adaptive framework. CoRR abs/2312.12483 (2023) - 2022
- [c3]Tam Van Nguyen, Luan Khanh Tran, Tu Cam Thi Tran, Hiep Xuan Huynh:
Layering Images with Convolution Neural Networks on Cloud Computing. ICTCC 2022: 160-171
2010 – 2019
- 2018
- [c2]Tuan Anh Nguyen, Philippe Martins, Van Tam Nguyen, Thi Mai Trang Nguyen:
A New Analytical Model for the Performance Evaluation of the Uplink Transmission in NB-IoT Networks. VTC Fall 2018: 1-5 - 2012
- [j1]Van Tam Nguyen, Frederic Villain, Yann Le Guillou:
Cognitive Radio RF: Overview and Challenges. VLSI Design 2012: 716476:1-716476:13 (2012) - 2011
- [c1]Van Tam Nguyen, Frederic Villain, Yann Le Guillou:
Cognitive radio systems: Overview and challenges. iCAST 2011: 497-502
Coauthor Index
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last updated on 2024-12-17 21:50 CET by the dblp team
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