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)

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)

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)

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 (2018)

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)

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)

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)

Trajectory User Linking in C-ITS Data Analysis. - Juliet Chebet Moso; Stéphane Cormier; Hacène Fouchal; Cyril de Runz; John M. Wandeto (GLOBECOM, 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 (Nets4Cars/Nets4Trains/Nets4Aircraft, 2020)

Pixel precise unsupervised detection of viral particle proliferation in cellular imaging data. - Birgitta Dresp-Langley; John Mwangi Wandeto (CoRR, 2020)

Road Speed Signatures from C-ITS messages. - Juliet Chebet Moso; Stéphane Cormier; Hacène Fouchal; Cyril de Runz; John Mwangi Wandeto; Hasnaâ Aniss (ICC, 2021)

Surgical task expertise detected by a self-organizing neural network map. - Birgitta Dresp-Langley; Rongrong Liu 001; John Mwangi Wandeto (CoRR, 2021)

Human Symmetry Uncertainty Detected by a Self-Organizing Neural Network Map. - Birgitta Dresp-Langley; John M. Wandeto (Symmetry, 2021)

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 (EGC, 2022)

Multimodal Cyberbullying Detection Using Deep Learning Techniques: A Review. - Immaculate Musyoka; John M. Wandeto; Benson Kituku (ICT4DA, 2023)

Spatiotemporal modeling of grip forces captures proficiency in manual robot control. - Rongrong Liu 001; John Mwangi Wandeto; Florent Nageotte; Philippe Zanne; Michel de Mathelin; Birgitta Dresp-Langley (CoRR, 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, 2023)

Fast Artificial Intelligence Detecting Climate Change Effects in Imaging Data. - Birgitta Dresp-Langley; John M. Wandeto (ACR, 2024)

Explainable Self-Organizing Artificial Intelligence Captures Landscape Changes Correlated with Human Impact Data. - John M. Wandeto; Birgitta Dresp-Langley (CoRR, 2024)

A Game-theoretic model of forex trading with stochastic strategies and information asymmetry. - Patrick Naivasha; George Musumba; Patrick Gikunda; John M. Wandeto (CoRR, 2024)