José Manuel Navarro

Orcid: 0000-0003-3408-7143

According to our database1, José Manuel Navarro authored at least 16 papers between 2015 and 2023.

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

Timeline

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PhD thesis 
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Bibliography

2023
Contrastive Learning and Data Augmentation in Traffic Classification Using a Flowpic Input Representation.
CoRR, 2023

Replication: Contrastive Learning and Data Augmentation in Traffic Classification Using a Flowpic Input Representation.
Proceedings of the 2023 ACM on Internet Measurement Conference, 2023

Change Point Detection in WLANs with Random AP Forests.
Proceedings of the Companion of the 19th International Conference on emerging Networking EXperiments and Technologies, 2023

Meta-Learning for Fast Model Recommendation in Unsupervised Multivariate Time Series Anomaly Detection.
Proceedings of the International Conference on Automated Machine Learning, 2023

2022
Rare Yet Popular: Evidence and Implications from Labeled Datasets for Network Anomaly Detection.
CoRR, 2022

Human readable network troubleshooting based on anomaly detection and feature scoring.
Comput. Networks, 2022

Local Evaluation of Time Series Anomaly Detection Algorithms.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

STREamRHF: Tree-Based Unsupervised Anomaly Detection for Data Streams.
Proceedings of the 19th IEEE/ACS International Conference on Computer Systems and Applications, 2022

2020
HURRA! Human readable router anomaly detection.
Proceedings of the 32nd International Teletraffic Congress, 2020

Random Histogram Forest for Unsupervised Anomaly Detection.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019
Computer Network Events.
Dataset, September, 2019

2018
Smart Behavioral Analytics over a Low-Cost IoT Wi-Fi Tracking Real Deployment.
Wirel. Commun. Mob. Comput., 2018

Applying Event Stream Processing to Network Online Failure Prediction.
IEEE Commun. Mag., 2018

Optimizing Failure Prediction Time Windows Through Genetic Algorithms and Random Forests.
IEEE Access, 2018

2017
Root Cause Analysis of Network Failures Using Machine Learning and Summarization Techniques.
IEEE Commun. Mag., 2017

2015
Classification in Sparse, High Dimensional Environments Applied to Distributed Systems Failure Prediction.
Proceedings of the Artificial Intelligence and Soft Computing, 2015


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