Peter Nabende

发表

Mining Transliterations from Wikipedia Using Pair HMMs

Peter Nabende, 2010, NEWS@ACL.

Adopting a Service-dominant Logic to Prediction of pregnancy Complications: an Exploratory Study of Maternal Healthcare in Uganda

Peter Nabende, Hawa Nyende, Urban Ask, 2017, ECIS.

Towards Data-Driven Machine Translation for Lumasaaba

Peter Nabende, Peter Nabende, 2018, Advances in Intelligent Systems and Computing.

Applying Dynamic Bayesian Networks in Transliteration Identification

Peter Nabende, 2010 .

An Evaluation of N-Gram Correspondence Models for Transliteration Detection

Peter Nabende, 2015 .

Dynamic Bayesian Networks for Transliteration Discovery and Generation

Peter Nabende, Peter Nabende, 2009 .

An Ontology for Generalized Disease Incidence Detection on Twitter

Peter Nabende, Mark Abraham Magumba, P. Nabende, 2017, HAIS.

An Expert System for Diagnosing Heavy-Duty Diesel Engine faults

Peter Nabende, Tom Wanyama, 2007, SCSS.

Applying dynamic Bayesian networks in transliteration detection and generation

Peter Nabende, Peter Nabende, 2011 .

A Review and evaluation of Machine Translation methods for Lumasaaba

Peter Nabende, Peter Nabende, 2020 .

Ontology boosted deep learning for disease name extraction from Twitter messages

Ernest Mwebaze, Peter Nabende, Mark Abraham Magumba, 2018, Journal of Big Data.

Mining Transliterations from Wikipedia using Dynamic Bayesian Networks

Peter Nabende, Peter Nabende, 2011, RANLP.

Relationship between Information Systems Development Paradigms and Methods

Jude T. Lubega, Peter Nabende, Benjamin Ahimbisibwe, 2009 .

Ontology Driven Disease Incidence Detection on Twitter pdf

Peter Nabende, Mark Abraham Magumba, Peter Nabende, 2016, ArXiv.

Pair Hidden Markov Model for Named Entity Matching

Jörg Tiedemann, John Nerbonne, Peter Nabende, 2008, SCSS.

Applying a Dynamic Bayesian Network Framework to Transliteration Identification

Peter Nabende, Peter Nabende, 2010, LREC.

Transliteration System Using Pair HMM with Weighted FSTs

Peter Nabende, Peter Nabende, 2009, NEWS@IJCNLP.

Design Choices for Automated Disease Surveillance in the Social Web

Ernest Mwebaze, Peter Nabende, Mark Abraham Magumba, 2018, Online journal of public health informatics.

Ontology driven machine learning approach for disease name extraction from Twitter messages

Peter Nabende, Mark Abraham Magumba, Earnest Mwebaze, 2017, 2017 2nd IEEE International Conference on Computational Intelligence and Applications (ICCIA).

Comparison of applying Pair HMMs and DBN models in Transliteration Identification

Peter Nabende, Peter Nabende, 2010 .

Using Data Analytics to Strengthen Monitoring and Surveillance of Routine Immunization Coverage for Children under One Year in Uganda

Peter Nabende, Josephine Nabukenya, Bartha Alexandra Nantongo, 2021, HEALTHINF.

Misinformation detection in Luganda-English code-mixed social media text pdf

Joyce Nakatumba-Nabende, Peter Nabende, Claire Babirye, 2021, ArXiv.

An Evaluation of Bayesian Network Models for Predicting Credit Risk on Ugandan Credit Contracts

Joyce Nakatumba-Nabende, Peter Nabende, Samuel Senfuma, 2021, Transactions on Computational Science and Computational Intelligence.

A Modified Decision Tree and its Application to Assess Variable Importance

Peter Nabende, Josephine Nabukenya, Ronald Wesonga, 2021, DSIT.

On the goodness of fit of parametric and non-parametric data mining techniques: the case of malaria incidence thresholds in Uganda

Peter Nabende, Ronald Wesonga, J. Nabukenya, 2021, Health and Technology.

Beyond Raw Performance: Neural Machine Translation Based Multi-lingual Classification of Tweets for Automated Disease Surveillance

Peter Nabende, Mark Abraham Magumba, Peter Nabende, 2021 .

Evaluation of different machine learning approaches and input text representations for multilingual classification of tweets for disease surveillance in the social web

Peter Nabende, Mark Abraham Magumba, Peter Nabende, 2021, Journal of Big Data.