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J. Nikkila
- ESANN 1998 - Methods for interpreting a self-organized map in data analysis [Details]
- ESANN 2012 - Application of Dynamic Time Warping on Kalman Filtering Framework for Abnormal ECG Filtering [Details]
- ESANN 2023 - Pattern Recognition Spiking Neural Network for Classification of Chinese Characters [Details]
- ESANN 2015 - I see you: on neural networks for indoor geolocation [Details]
- ESANN 2012 - Recognition of HIV-1 subtypes and antiretroviral drug resistance using weightless neural networks [Details]
- ESANN 2010 - Learning how to grasp objects [Details]
- ESANN 2006 - An algorithm for fast and reliable ESOM learning [Details]
- ESANN 2021 - Semantic Prediction: Which One Should Come First, Recognition or Prediction? [Details]
- ESANN 2016 - Bag-of-Steps: predicting lower-limb fracture rehabilitation length [Details]
- ESANN 1993 - A modified trajectory reversing method for the stability analysis of neural network [Details]
- ESANN 1994 - Stability analysis of diagonal recurrent neural networks [Details]
- ESANN 2016 - Augmenting a convolutional neural network with local histograms - A case study in crop classification from high-resolution UAV imagery [Details]
- ESANN 2012 - A hybrid CMOS/memristive nanoelectronic circuit for programming synaptic weights [Details]
- ESANN 2018 - Prototype-based analysis of GAMA galaxy catalogue data [Details]
- No papers found
- ESANN 2022 - Minkowski logarithmic error: A physics-informed neural network approach for wind turbine lifetime assessment [Details]
- ESANN 2024 - Unpaired Image-to-Image Translation to Improve Log End Identification [Details]
- ESANN 2016 - Human-centered machine learning through interactive visualization: review and open challenges [Details]
- ESANN 2013 - Error entropy criterion in echo state network training [Details]
- ESANN 2013 - Bayesian non parametric inference of discrete valued networks [Details]
- ESANN 2023 - FairBayRank: A Fair Personalized Bayesian Ranker [Details]
- ESANN 2021 - Comprehensive Analysis of the Screening of COVID-19 Approaches in Chest X-ray Images from Portable Devices [Details]
- ESANN 2016 - Feature definition, analysis and selection for lung nodule classification in chest computerized tomography images [Details]
- ESANN 2019 - Computerized tool for identification and enhanced visualization of Macular Edema regions using OCT scans [Details]
- No papers found
- ESANN 2022 - Improving Intensive Care Chest X-Ray Classification by Transfer Learning and Automatic Label Generation [Details]
- ESANN 2023 - Learning with Boosting Decision Stumps for Feature Selection in Evolving Data Streams [Details]
- ESANN 2019 - Deep hybrid approach for 3D plane segmentation [Details]
- ESANN 2006 - Non-linear gating network for the large scale classification model CombNET-II [Details]
- ESANN 2023 - A Tropical View of Graph Neural Networks [Details]
- ESANN 2002 - Rule extraction from support vector machines [Details]
- ESANN 2011 - A post-processing strategy for SVM learning from unbalanced data [Details]