Isah A. Lawal
Isah A. Lawal
Department of Applied Data Science, Noroff University College
Verified email at noroff.no
TitleCited byYear
Recognition of handwritten arabic (indian) numerals using freeman's chain codes and abductive network classifiers
IA Lawal, RE Abdel-Aal, SA Mahmoud
2010 20th International Conference on Pattern Recognition, 1884-1887, 2010
252010
Improving HSDPA traffic forecasting using ensemble of neural networks
IA Lawal, SA Abdulkarim, MK Hassan, JM Sadiq
2016 15th IEEE International Conference on Machine Learning and Applications …, 2016
62016
Support vector motion clustering
IA Lawal, F Poiesi, D Anguita, A Cavallaro
IEEE Transactions on Circuits and Systems for Video Technology 27 (11), 2395 …, 2016
52016
A Heuristic Approach to Model Selection for Online Support Vector Machines
D Anguita, A Ghio, IA Lawal, L Oneto
International Workshop on Advances in Regularization, Optimization, Kernel …, 2013
52013
Adaptive SVM for data stream classification
IA Lawal, SA Abdulkarim
South African Computer Journal 29 (1), 27-42, 2017
22017
A cooperative neural network approach for enhancing data traffic prediction
SA Abdulkarim, IA Lawal
Turkish Journal of Electrical Engineering & Computer Sciences 25 (6), 4746-4756, 2017
12017
Predictive modeling of material properties using GMDH-based Abductive networks
IA Lawal, YO Mohammed
2011 Fifth Asia Modelling Symposium, 3-6, 2011
12011
Recognition of handwritten Arabic (Indian) digits using abductive network
IA Lawal
King Fahd University of Petroleum and Minerals, 2010
12010
Deep human activity recognition using wearable sensors
IA Lawal, S Bano
12th ACM International Conference on PErvasive Technologies Related to …, 2019
2019
Incremental SVM Learning
IA Lawal
Learning from Data Streams in Evolving Environments, 279-296, 2019
2019
Spoken character classification using abductive network
IA Lawal
International Journal of Speech Technology 20 (4), 881-890, 2017
2017
Applicability of GMDH-Based Abductive Network for Predicting Pile Bearing Capacity
IA Lawal, TA Auta
Automation, Florian Kongoli (Ed.), ISBN: 978-953-5, 377-390, 2012
2012
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Articles 1–12