Hai Thanh Nguyen

Affiliations:
  • Telenor Research, Trondheim
  • Gjøvik University College, Norwegian Information Security Laboratory


According to our database1, Hai Thanh Nguyen authored at least 25 papers between 2010 and 2019.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2019
Air Quality Monitor and Forecast in Norway Using NB-IoT and Machine Learning.
Proceedings of the Science and Technologies for Smart Cities, 2019

Visual analytics for exploring air quality data in an AI-enhanced IoT environment.
Proceedings of the 11th International Conference on Management of Digital EcoSystems, 2019

New Ideas in Ranking for Personalized Fashion Recommender Systems.
Proceedings of the Business and Consumer Analytics: New Ideas, 2019

2018
BPRH: Bayesian personalized ranking for heterogeneous implicit feedback.
Inf. Sci., 2018

2017
A big data analytics approach to combat telecommunication vulnerabilities.
Clust. Comput., 2017

2016
TBPR: Trinity Preference based Bayesian Personalized Ranking for Multivariate Implicit Feedback.
Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016

A Network Based IMSI Catcher Detection.
Proceedings of the 6th International Conference on IT Convergence and Security, 2016

Better Protection of SS7 Networks with Machine Learning.
Proceedings of the 6th International Conference on IT Convergence and Security, 2016

2015
Combining expert knowledge with automatic feature extraction for reliable web attack detection.
Secur. Commun. Networks, 2015

Detecting IMSI-Catcher Using Soft Computing.
Proceedings of the Soft Computing in Data Science - First International Conference, 2015

Probability-based Approach for Predicting E-commerce Consumer Behaviour Using Sparse Session Data.
Proceedings of the 2015 International ACM Recommender Systems Challenge, 2015

2014
Cold-start Problems in Recommendation Systems via Contextual-bandit Algorithms.
CoRR, 2014

Using Multi-armed Bandit to Solve Cold-Start Problems in Recommender Systems at Telco.
Proceedings of the Mining Intelligence and Knowledge Exploration, 2014

Learning to Rank for Personalised Fashion Recommender Systems via Implicit Feedback.
Proceedings of the Mining Intelligence and Knowledge Exploration, 2014

Anomalous Web Payload Detection: Evaluating the Resilience of 1-Grams Based Classifiers.
Proceedings of the Intelligent Distributed Computing VIII, 2014

2013
Enhancing the effectiveness of Web Application Firewalls by generic feature selection.
Log. J. IGPL, 2013

2012
Reliable Machine Learning Algorithms for Intrusion Detection Systems: Machine Learning for Information Security and Digital Forensics.
PhD thesis, 2012

A General Lp-norm Support Vector Machine via Mixed 0-1 Programming.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2012

Generic feature selection measure for botnet malware detection.
Proceedings of the 12th International Conference on Intelligent Systems Design and Applications, 2012

Adaptive Intrusion Detection System via online machine learning.
Proceedings of the 12th International Conference on Hybrid Intelligent Systems, 2012

2011
Improving Effectiveness of Intrusion Detection by Correlation Feature Selection.
Int. J. Mob. Comput. Multim. Commun., 2011

A new ensemble-feature-selection framework for intrusion detection.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

Application of the Generic Feature Selection Measure in Detection of Web Attacks.
Proceedings of the Computational Intelligence in Security for Information Systems, 2011

2010
A Comparison of Feature-Selection Methods for Intrusion Detection.
Proceedings of the Computer Network Security, 2010

Towards a Generic Feature-Selection Measure for Intrusion Detection.
Proceedings of the 20th International Conference on Pattern Recognition, 2010


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