John M. Wandeto

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

Collaborative distances:

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

2024

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

John M. Wandeto, Birgitta Dresp-Langley

CoRR, 2024

Fast Artificial Intelligence Detecting Climate Change Effects in Imaging Data.

Birgitta Dresp-Langley, John M. Wandeto

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.

John Mwangi Wandeto, Birgitta Dresp-Langley

Softw. Impacts, September, 2023

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

Rongrong Liu, John Mwangi Wandeto, Florent Nageotte, Philippe Zanne, Michel de Mathelin, Birgitta Dresp-Langley

CoRR, 2023

Multimodal Cyberbullying Detection Using Deep Learning Techniques: A Review.

Immaculate Musyoka, John M. Wandeto, Benson Kituku

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.

Juliet Chebet Moso, Stéphane Cormier, Cyril de Runz, Hacène Fouchal, John Mwangi Wandeto

Proceedings of the Extraction et Gestion des Connaissances, 2022

2021

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

Birgitta Dresp-Langley, John M. Wandeto

Symmetry, 2021

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

Birgitta Dresp-Langley, Rongrong Liu, John Mwangi Wandeto

CoRR, 2021

Road Speed Signatures from C-ITS messages.

Juliet Chebet Moso, Stéphane Cormier, Hacène Fouchal, Cyril de Runz, John Mwangi Wandeto, Hasnaâ Aniss

Proceedings of the ICC 2021, 2021

2020

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

Birgitta Dresp-Langley, John Mwangi Wandeto

CoRR, 2020

Anomaly Detection on Roads Using C-ITS Messages.

Juliet Chebet Moso, Ramzi Boutahala, Brice Leblanc, Hacène Fouchal, Cyril de Runz, Stephane Cormier, John M. Wandeto

Proceedings of the Communication Technologies for Vehicles, 2020

Trajectory User Linking in C-ITS Data Analysis.

Juliet Chebet Moso, Stéphane Cormier, Hacène Fouchal, Cyril de Runz, John M. Wandeto

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.

John Mwangi Wandeto, Birgitta Dresp-Langley

Neural Networks, 2019

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

John M. Wandeto, Henry O. Nyongesa, Yves Rémond, Birgitta Dresp-Langley

CoRR, 2019

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

John Mwangi Wandeto, Birgitta Dresp-Langley

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).

John Mwangi Wandeto

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.

John Mwangi Wandeto, Henry O. Nyongesa, Birgitta Dresp-Langley

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.

Birgitta Dresp-Langley, John Mwangi Wandeto

CoRR, 2017

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

Birgitta Dresp-Langley, John M. Wandeto

CoRR, 2017