Mikhail Kamalov

According to our database, Mikhail Kamalov authored at least 4 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

SGraphZoe: Explainable self-supervised framework for signal-based anomaly detection.

Mikhail Kamalov, Luca Uggeri, Ingrid Grenet, Jonathan Daeden

Proceedings of the 24th International Conference on Digital Signal Processing, 2023

2022

Scalable algorithms for graph-based semi-supervised learning with embedding. (Mise à l'échelle des algorithmes pour l'apprentissage semi-supervisé basé sur des graphes avec le plongement).

Mikhail Kamalov

PhD thesis, 2022

2021

Graph Diffusion & PCA Framework for Semi-supervised Learning.

Konstantin Avrachenkov, Aurélie Boisbunon, Mikhail Kamalov

Proceedings of the Learning and Intelligent Optimization - 15th International Conference, 2021

PaZoe: classifying time series with few labels.

Mikhail Kamalov, Aurélie Boisbunon, Carlo Fanara, Ingrid Grenet, Jonathan Daeden

Proceedings of the 29th European Signal Processing Conference, 2021