Esa Alhoniemi

According to our database, Esa Alhoniemi authored at least 16 papers between 1997 and 2023.

Collaborative distances:

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

2023

Differential Privacy for Adaptive Weight Aggregation in Federated Tumor Segmentation.

Muhammad Irfan Khan, Esa Alhoniemi, Elina Kontio, Suleiman A. Khan, Mojtaba Jafaritadi

CoRR, 2023

RegAgg: A Scalable Approach for Efficient Weight Aggregation in Federated Lesion Segmentation of Brain MRIs.

Muhammad Irfan Khan, Esa Alhoniemi, Elina Kontio, Suleiman A. Khan, Mojtaba Jafaritadi

Proceedings of the Eighth International Conference on Fog and Mobile Edge Computing, 2023

2022

Regularized Weight Aggregation in Networked Federated Learning for Glioblastoma Segmentation.

Muhammad Irfan Khan, Mohammad Ayyaz Azeem, Esa Alhoniemi, Elina Kontio, Suleiman A. Khan, Mojtaba Jafaritadi

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022

2021

Adaptive Weight Aggregation in Federated Learning for Brain Tumor Segmentation.

Muhammad Irfan Khan, Mojtaba Jafaritadi, Esa Alhoniemi, Elina Kontio, Suleiman A. Khan

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2008

Agglomerative independent variable group analysis.

Antti Honkela, Jeremias Seppä, Esa Alhoniemi

Neurocomputing, 2008

2007

Compact Modeling of Data Using Independent Variable Group Analysis.

Esa Alhoniemi, Antti Honkela, Krista Lagus, Santeri Jeremias Seppä, Paul Wagner, Harri Valpola

IEEE Trans. Neural Networks, 2007

Quantitation of the premature infant brain volume from MR images using watershed transform and Bayesian segmentation.

Harri Merisaari, Mika Teräs, Esa Alhoniemi, Riitta Parkkola, Olli S. Nevalainen

Proceedings of the 15th European Signal Processing Conference, 2007

2006

A Shape-Preserving Non-parametric Symmetry Transform.

Olli Lahdenoja, Esa Alhoniemi, Mika Laiho, Ari Paasio

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

2003

Simplified time series representations for efficient analysis of industrial process data.

Esa Alhoniemi

Artif. Intell. Eng. Des. Anal. Manuf., 2003

2002

Unsupervised pattern recognition methods for exploratory analysis of industrial process data.

Esa Alhoniemi

PhD thesis, 2002

2001

Independent Variable Group Analysis.

Krista Lagus, Esa Alhoniemi, Harri Valpola

Proceedings of the Artificial Neural Networks, 2001

Interpretation and comparison of multivariate data partitions.

Esa Alhoniemi, Olli Simula

Proceedings of the 9th European Symposium on Artificial Neural Networks, 2001

2000

Clustering of the self-organizing map.

Juha Vesanto, Esa Alhoniemi

IEEE Trans. Neural Networks Learn. Syst., 2000

1999

Process Monitoring and Modeling Using the Self-Organizing Map.

Esa Alhoniemi, Jaakko Hollmén, Olli Simula, Juha Vesanto

Integr. Comput. Aided Eng., 1999

SOM Based Analysis of Pulping Process Data.

Olli Simula, Esa Alhoniemi

Proceedings of the Engineering Applications of Bio-Inspired Artificial Neural Networks, 1999

1997

Analysis of Complex Systems Using the Self-Organizing Map.

Olli Simula, Esa Alhoniemi, Jaakko Hollmén, Juha Vesanto

Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997