Raquel Mini (Former)

1 – 4 of 4

show: 10
|
sort: year (new to old)

News feed Embed this list Save this search Mark all Export

Cancel

Embed this list

copy and paste the html snippet below into your own page:

<iframe src="https://lup.lub.lu.se/search/person/f66066f6-d32e-46da-8d50-06b420297e28?embed=1&amp;hide_pagination=1&amp;hide_info=1&amp;hide_options=1"
  width="100%"
  height="400"
  allowtransparency="true"
  frameborder="0">
</iframe>

2025
Mark Asynchronous Real-Time Federated Learning for Anomaly Detection in Microservice Cloud Applications
Raeiszadeh, Mahsa ; Ebrahimzadeh, Amin ; Glitho, Roch ; Eker, Johan ^LU and Mini, Raquel ^LU (2025) In IEEE Transactions on Machine Learning in Communications and Networking 3.
- Contribution to journal › Article
2023
Mark A Deep Learning Approach for Real-Time Application-Level Anomaly Detection in IoT Data Streaming
Raeiszadeh, Mahsa ; Saleem, Ahsan ; Ebrahimzadeh, Amin ; Glitho, Roch ; Eker, Johan ^LU and Mini, Raquel ^LU (2023)
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark A Deep Learning Approach for Root Cause Analysis of Application Anomalies for Real-Time IIoT
Saleem, Ahsan ; Raeiszadeh, Mahsa ; Ebrahimzadeh, Amin ; Glitho, Roch ; Eker, Johan ^LU and Mini, Raquel ^LU (2023)
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark Real-Time Anomaly Detection Using Distributed Tracing in Microservice Cloud Applications
Raeiszadeh, Mahsa ; Ebrahimzadeh, Amin ; Saleem, Ahsan ; Glitho, Roch ; Eker, Johan ^LU and Mini, Raquel ^LU (2023)
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding

Publications

Open access (%)

your query:: Remove author: Mini, Raquel (LU)