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John M. Wandeto
Person information
- affiliation: Dedan Kimathi University of Technology, Nyeri, Kenya
- affiliation (PhD 2018): University of Strasbourg, France
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2020 – today
- 2024
- [c6]Birgitta Dresp-Langley, John M. Wandeto:
Fast Artificial Intelligence Detecting Climate Change Effects in Imaging Data. ACR 2024: 414-424 - [i10]John M. Wandeto, Birgitta Dresp-Langley:
Explainable Self-Organizing Artificial Intelligence Captures Landscape Changes Correlated with Human Impact Data. CoRR abs/2405.09547 (2024) - 2023
- [j4]John Mwangi Wandeto, Birgitta Dresp-Langley:
SOM-QE ANALYSIS: A biologically inspired technique to detect and track meaningful changes within image regions. Softw. Impacts 17: 100568 (2023) - [c5]Immaculate Musyoka, John M. Wandeto, Benson Kituku:
Multimodal Cyberbullying Detection Using Deep Learning Techniques: A Review. ICT4DA 2023: 187-192 - [i9]Rongrong Liu, John Mwangi Wandeto, Florent Nageotte, Philippe Zanne, Michel de Mathelin, Birgitta Dresp-Langley:
Spatiotemporal modeling of grip forces captures proficiency in manual robot control. CoRR abs/2303.01995 (2023) - 2022
- [c4]Juliet Chebet Moso, Stéphane Cormier, Cyril de Runz, Hacène Fouchal, John Mwangi Wandeto:
ELSCP pour la détection d'anomalies dans les flux de données issues de l'agriculture. EGC 2022: 495-496 - 2021
- [j3]Birgitta Dresp-Langley, John M. Wandeto:
Human Symmetry Uncertainty Detected by a Self-Organizing Neural Network Map. Symmetry 13(2): 299 (2021) - [c3]Juliet Chebet Moso, Stéphane Cormier, Hacène Fouchal, Cyril de Runz, John Mwangi Wandeto, Hasnaâ Aniss:
Road Speed Signatures from C-ITS messages. ICC 2021: 1-6 - [i8]Birgitta Dresp-Langley, Rongrong Liu, John Mwangi Wandeto:
Surgical task expertise detected by a self-organizing neural network map. CoRR abs/2106.08995 (2021) - 2020
- [c2]Juliet Chebet Moso, Stéphane Cormier, Hacène Fouchal, Cyril de Runz, John M. Wandeto:
Trajectory User Linking in C-ITS Data Analysis. GLOBECOM 2020: 1-6 - [c1]Juliet Chebet Moso, Ramzi Boutahala, Brice Leblanc, Hacène Fouchal, Cyril de Runz, Stephane Cormier, John M. Wandeto:
Anomaly Detection on Roads Using C-ITS Messages. Nets4Cars/Nets4Trains/Nets4Aircraft 2020: 25-38 - [i7]John Mwangi Wandeto, Birgitta Dresp-Langley:
The quantization error in a Self-Organizing Map as a contrast and colour specific indicator of single-pixel change in large random patterns. CoRR abs/2011.03970 (2020) - [i6]Birgitta Dresp-Langley, John Mwangi Wandeto:
Pixel precise unsupervised detection of viral particle proliferation in cellular imaging data. CoRR abs/2011.05209 (2020)
2010 – 2019
- 2019
- [j2]John Mwangi Wandeto, Birgitta Dresp-Langley:
The quantization error in a Self-Organizing Map as a contrast and colour specific indicator of single-pixel change in large random patterns. Neural Networks 119: 273-285 (2019) - [j1]John Mwangi Wandeto, Birgitta Dresp-Langley:
The quantization error in a Self-Organizing Map as a contrast and colour specific indicator of single-pixel change in large random patterns. Neural Networks 120: 116-128 (2019) - [i5]John Mwangi Wandeto, Birgitta Dresp-Langley:
Unsupervised automatic classification of Scanning Electron Microscopy (SEM) images of CD4+ cells with varying extent of HIV virion infection. CoRR abs/1905.03700 (2019) - [i4]John M. Wandeto, Henry O. Nyongesa, Yves Rémond, Birgitta Dresp-Langley:
Detection of small changes in medical and random-dot images comparing self-organizing map performance to human detection. CoRR abs/1906.11675 (2019) - 2018
- [b1]John Mwangi Wandeto:
Self-organizing map quantization error approach for detecting temporal variations in image sets. (Détection automatisée de variations critiques dans des séries temporelles d'images par algorithmes non-supervisées de Kohonen). University of Strasbourg, France, 2018 - [i3]John Mwangi Wandeto, Henry O. Nyongesa, Birgitta Dresp-Langley:
Detection of Structural Change in Geographic Regions of Interest by Self Organized Mapping: Las Vegas City and Lake Mead across the Years. CoRR abs/1803.11125 (2018) - 2017
- [i2]Birgitta Dresp-Langley, John M. Wandeto:
On the detectability by novices, radiologists, and computer algorithms of smallest increases in local single dot size in random-dot images. CoRR abs/1709.02292 (2017) - [i1]Birgitta Dresp-Langley, John Mwangi Wandeto:
Using the quantization error from Self-Organized Map (SOM) output for detecting critical variability in large bodies of image time series in less than a minute. CoRR abs/1710.10648 (2017)
Coauthor Index
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last updated on 2024-11-07 21:33 CET by the dblp team
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