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Books and Theses
- 2002
[b1]Esa Alhoniemi:
Unsupervised pattern recognition methods for exploratory analysis of industrial process data. Aalto University, Helsinki, Finland, 2002
Journal Articles
- 2008
- [j5]Antti Honkela, Jeremias Seppä
, Esa Alhoniemi:
Agglomerative independent variable group analysis. Neurocomputing 71(7-9): 1311-1320 (2008) - 2007
- [j4]Esa Alhoniemi, Antti Honkela, Krista Lagus, Santeri Jeremias Seppä, Paul Wagner, Harri Valpola:
Compact Modeling of Data Using Independent Variable Group Analysis. IEEE Trans. Neural Networks 18(6): 1762-1776 (2007) - 2003
- [j3]Esa Alhoniemi:
Simplified time series representations for efficient analysis of industrial process data. Artif. Intell. Eng. Des. Anal. Manuf. 17(2): 103-114 (2003) - 2000
- [j2]Juha Vesanto, Esa Alhoniemi:
Clustering of the self-organizing map. IEEE Trans. Neural Networks Learn. Syst. 11(3): 586-600 (2000) - 1999
- [j1]Esa Alhoniemi, Jaakko Hollmén, Olli Simula, Juha Vesanto:
Process Monitoring and Modeling Using the Self-Organizing Map. Integr. Comput. Aided Eng. 6(1): 3-14 (1999)
Conference and Workshop Papers
- 2023
- [c10]Muhammad Irfan Khan, Esa Alhoniemi, Elina Kontio, Suleiman A. Khan, Mojtaba Jafaritadi:
RegAgg: A Scalable Approach for Efficient Weight Aggregation in Federated Lesion Segmentation of Brain MRIs. FMEC 2023: 101-106 - 2022
- [c9]Muhammad Irfan Khan, Mohammad Ayyaz Azeem, Esa Alhoniemi, Elina Kontio, Suleiman A. Khan, Mojtaba Jafaritadi:
Regularized Weight Aggregation in Networked Federated Learning for Glioblastoma Segmentation. BrainLes@MICCAI (2) 2022: 121-132 - 2021
- [c8]Muhammad Irfan Khan, Mojtaba Jafaritadi, Esa Alhoniemi, Elina Kontio, Suleiman A. Khan:
Adaptive Weight Aggregation in Federated Learning for Brain Tumor Segmentation. BrainLes@MICCAI (2) 2021: 455-469 - 2007
- [c7]Antti Honkela, Jeremias Seppä, Esa Alhoniemi:
Agglomerative Independent Variable Group Analysis. ESANN 2007: 55-60 - [c6]Harri Merisaari, Mika Teräs, Esa Alhoniemi, Riitta Parkkola, Olli S. Nevalainen:
Quantitation of the premature infant brain volume from MR images using watershed transform and Bayesian segmentation. EUSIPCO 2007: 1117-1121 - 2006
- [c5]Olli Lahdenoja, Esa Alhoniemi, Mika Laiho, Ari Paasio:
A Shape-Preserving Non-parametric Symmetry Transform. ICPR (2) 2006: 373-377 - 2001
- [c4]Esa Alhoniemi, Olli Simula:
Interpretation and comparison of multivariate data partitions. ESANN 2001: 277-282 - [c3]Krista Lagus, Esa Alhoniemi, Harri Valpola:
Independent Variable Group Analysis. ICANN 2001: 203-210 - 1999
- [c2]Olli Simula, Esa Alhoniemi:
SOM Based Analysis of Pulping Process Data. IWANN (2) 1999: 567-577 - 1997
- [c1]Olli Simula, Esa Alhoniemi, Jaakko Hollmén, Juha Vesanto:
Analysis of Complex Systems Using the Self-Organizing Map. ICONIP (2) 1997: 1313-1317
Informal and Other Publications
- 2023
- [i2]Muhammad Irfan Khan, Mohammad Ayyaz Azeem, Esa Alhoniemi, Elina Kontio, Suleiman A. Khan, Mojtaba Jafaritadi:
Regularized Weight Aggregation in Networked Federated Learning for Glioblastoma Segmentation. CoRR abs/2301.12617 (2023) - [i1]Muhammad Irfan Khan, Esa Alhoniemi, Elina Kontio, Suleiman A. Khan, Mojtaba Jafaritadi:
Differential Privacy for Adaptive Weight Aggregation in Federated Tumor Segmentation. CoRR abs/2308.00856 (2023)
Coauthor Index
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