activity
20152025
most citedANN Model to Predict Stock Prices at Stock Exchange Markets

16 citations · 52 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2025

Algorithm for Semantic Network Generation from Texts of Low Resource Languages Such as Kiswahili

Barack Wamkaya Wanjawa, Lawrence Muchemi, Evans Miriti

Processing low-resource languages, such as Kiswahili, using machine learning is difficult due to lack of adequate training data. However, such low-resource languages are still impo…

cs.CL2022★ 2 cited

Phonemic Representation and Transcription for Speech to Text Applications for Under-resourced Indigenous African Languages: The Case of Kiswahili

Ebbie Awino, Lilian Wanzare, Lawrence Muchemi +5

Building automatic speech recognition (ASR) systems is a challenging task, especially for under-resourced languages that need to construct corpora nearly from scratch and lack suff…

cs.CL2022★ 15 cited

Kencorpus: A Kenyan Language Corpus of Swahili, Dholuo and Luhya for Natural Language Processing Tasks

Barack Wanjawa, Lilian Wanzare, Florence Indede +3

Indigenous African languages are categorized as under-served in Natural Language Processing. They therefore experience poor digital inclusivity and information access. The processi…

cs.CL2022★ 15 cited

KenSwQuAD -- A Question Answering Dataset for Swahili Low Resource Language

Barack W. Wanjawa, Lilian D. A. Wanzare, Florence Indede +3

The need for Question Answering datasets in low resource languages is the motivation of this research, leading to the development of Kencorpus Swahili Question Answering Dataset, K…

q-fin.ST2016

Evaluating the Performance of ANN Prediction System at Shanghai Stock Market in the Period 21-Sep-2016 to 11-Oct-2016

Barack Wamkaya Wanjawa

This research evaluates the performance of an Artificial Neural Network based prediction system that was employed on the Shanghai Stock Exchange for the period 21-Sep-2016 to 11-Oc…

cs.LG2016★ 4 cited

Predicting Future Shanghai Stock Market Price using ANN in the Period 21-Sep-2016 to 11-Oct-2016

Barack Wamkaya Wanjawa

Predicting the prices of stocks at any stock market remains a quest for many investors and researchers. Those who trade at the stock market tend to use technical, fundamental or ti…

q-fin.ST2015★ 16 cited

ANN Model to Predict Stock Prices at Stock Exchange Markets

B. W. Wanjawa, L. Muchemi

Stock exchanges are considered major players in financial sectors of many countries. Most Stockbrokers, who execute stock trade, use technical, fundamental or time series analysis…