Duong Nguyen

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
VOAT: Voice Onset Analysis Tool.
SoftwareX, 2024

Satisfaction and Regret in Stackelberg Games.
CoRR, 2024

Magazine Supply Optimization: a Case-study.
CoRR, 2024

Revisiting the Disequilibrium Issues in Tackling Heart Disease Classification Tasks.
CoRR, 2024

How Homogenizing the Channel-wise Magnitude Can Enhance EEG Classification Model?
CoRR, 2024

PAT: Pixel-wise Adaptive Training for Long-tailed Segmentation.
CoRR, 2024

A Transformer Network With Sparse Augmented Data Representation and Cross Entropy Loss for AIS-Based Vessel Trajectory Prediction.
IEEE Access, 2024

United We Stand: Decentralized Multi-Agent Planning with Attrition.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023
Revisiting LARS for Large Batch Training Generalization of Neural Networks.
CoRR, 2023

Bayesian Rationality in Satisfaction Games.
CoRR, 2023

Social Optimum Equilibrium Selection for Distributed Multi-Agent Optimization.
CoRR, 2023

2022
GeoTrackNet - A Maritime Anomaly Detector Using Probabilistic Neural Network Representation of AIS Tracks and A Contrario Detection.
IEEE Trans. Intell. Transp. Syst., 2022

Multi-Agent Data Collection in Non-Stationary Environments.
Proceedings of the 23rd IEEE International Symposium on a World of Wireless, 2022

MFinBERT: Multilingual Pretrained Language Model For Financial Domain.
Proceedings of the 14th International Conference on Knowledge and Systems Engineering, 2022

2021
TrAISformer-A generative transformer for AIS trajectory prediction.
CoRR, 2021

Improving Bayesian Inference in Deep Neural Networks with Variational Structured Dropout.
CoRR, 2021

Structured Dropout Variational Inference for Bayesian Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Meta-Learning a Solution to the Hanabi Ad-Hoc Challenge.
Proceedings of the FDG'21: The 16th International Conference on the Foundations of Digital Games 2021, 2021

HOAD: The Hanabi Open Agent Dataset.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020
Variational deep learning for time series modelling and analysis : applications to dynamical system identification and maritime traffic anomaly detection. (Apprentissage variationnel profond pour la modélisation et l'analyse de séries temporelles : applications à l'identification de systèmes dynamiques et à la détection d'anomalies de trafic maritime).
PhD thesis, 2020

Variational Deep Learning for the Identification and Reconstruction of Chaotic and Stochastic Dynamical Systems from Noisy and Partial Observations.
CoRR, 2020

Detection of Abnormal Vessel Behaviours from AIS data using GeoTrackNet: from the Laboratory to the Ocean.
Proceedings of the 21st IEEE International Conference on Mobile Data Management, 2020

Assimilation-Based Learning of Chaotic Dynamical Systems from Noisy and Partial Data.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Neuroevolution of self-interpretable agents.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019
Learning Latent Dynamics for Partially-Observed Chaotic Systems.
CoRR, 2019

EM-like Learning Chaotic Dynamics from Noisy and Partial Observations.
CoRR, 2019

Learning Ocean Dynamical Priors from Noisy Data Using Assimilation-Derived Neural Nets.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Recurrent Neural Networks with Stochastic Layers for Acoustic Novelty Detection.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Multi-task Learning for Maritime Traffic Surveillance from AIS Data Streams.
CoRR, 2018


A Multi-Task Deep Learning Architecture for Maritime Surveillance Using AIS Data Streams.
Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

A two-stage-pipeline CPU of SH-2 architecture implemented on FPGA and SoC for IoT, edge AI and robotic applications.
Proceedings of the 2018 IEEE Symposium in Low-Power and High-Speed Chips, 2018

BiasedWalk: Biased Sampling for Representation Learning on Graphs.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2015
Low Cost Unmanned Aerial Vehicle Monitoring Using Smart Phone Technology.
Proceedings of the 12th International Conference on Information Technology, 2015

2014
Automatic Android-based Wireless Mesh Networks.
Informatica (Slovenia), 2014

2013
Home energy management with generic thermal dynamics and user temperature preference.
Proceedings of the IEEE Fourth International Conference on Smart Grid Communications, 2013

2010
Learning Automata Swarm for Adaptive Space Situational Awareness.
Proceedings of the 2010 International Conference on Software Engineering Research & Practice, 2010

2008
Prediction of Protein Functions from Protein Interaction Networks: A Naïve Bayes Approach.
Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008

Hubbub - An Innovative Customer Support Forum.
Proceedings of the BIS 2008 Workshops Proceedings: Social Aspects of the Web (SAW 2008), 2008

2005
Evolving cooperative strategies for UAV teams.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

1996
Beamforming in an Array with Failed Elements.
Proceedings of the Fourth International Symposium on Signal Processing and Its Applications, 1996


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