John M. Wandeto

Orcid: 0000-0002-7502-2517

Affiliations:
  • Dedan Kimathi University of Technology, Nyeri, Kenya
  • University of Strasbourg, France (PhD 2018)


According to our database1, John M. Wandeto authored at least 19 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

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Bibliography

2024
Explainable Self-Organizing Artificial Intelligence Captures Landscape Changes Correlated with Human Impact Data.
CoRR, 2024

Fast Artificial Intelligence Detecting Climate Change Effects in Imaging Data.
Proceedings of the Second International Conference on Advances in Computing Research, 2024

2023
SOM-QE ANALYSIS: A biologically inspired technique to detect and track meaningful changes within image regions.
Softw. Impacts, September, 2023

Spatiotemporal modeling of grip forces captures proficiency in manual robot control.
CoRR, 2023

Multimodal Cyberbullying Detection Using Deep Learning Techniques: A Review.
Proceedings of the International Conference on Information and Communication Technology for Development for Africa, 2023

2022
ELSCP pour la détection d'anomalies dans les flux de données issues de l'agriculture.
Proceedings of the Extraction et Gestion des Connaissances, 2022

2021
Human Symmetry Uncertainty Detected by a Self-Organizing Neural Network Map.
Symmetry, 2021

Surgical task expertise detected by a self-organizing neural network map.
CoRR, 2021

Road Speed Signatures from C-ITS messages.
Proceedings of the ICC 2021, 2021

2020
Pixel precise unsupervised detection of viral particle proliferation in cellular imaging data.
CoRR, 2020

Anomaly Detection on Roads Using C-ITS Messages.
Proceedings of the Communication Technologies for Vehicles, 2020

Trajectory User Linking in C-ITS Data Analysis.
Proceedings of the IEEE Global Communications Conference, 2020

2019
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, 2019

Detection of small changes in medical and random-dot images comparing self-organizing map performance to human detection.
CoRR, 2019

Unsupervised automatic classification of Scanning Electron Microscopy (SEM) images of CD4+ cells with varying extent of HIV virion infection.
CoRR, 2019

2018
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).
PhD thesis, 2018

Detection of Structural Change in Geographic Regions of Interest by Self Organized Mapping: Las Vegas City and Lake Mead across the Years.
CoRR, 2018

2017
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, 2017

On the detectability by novices, radiologists, and computer algorithms of smallest increases in local single dot size in random-dot images.
CoRR, 2017


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