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The boundary-spanning mechanisms of Nobel Prize winning papers

PloS one, 2021-08, Vol.16 (8), p.e0254744-e0254744

2021

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Prediction of incomplete immunization among under-five children in East Africa from recent demographic and health surveys: a machine learning approach

Scientific reports, 2024-05, Vol.14 (1), p.11529-11529, Article 11529

2024

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Information seeking about COVID-19 and associated factors among chronic patients in Bahir Dar city public hospitals, Northwest Ethiopia: a cross-sectional study

BMC infectious diseases, 2022-04, Vol.22 (1), p.325-325, Article 325

2022

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Modelling sustainable uniformity of the Australian national uniform legislation through ordinal regression

Theory and practice of legislation (Oxford, England), 2023-09, Vol.11 (3), p.232-255

2023

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Prediction of contraceptive discontinuation among reproductive-age women in Ethiopia using Ethiopian Demographic and Health Survey 2016 Dataset: A Machine Learning Approach

BMC medical informatics and decision making, 2023-01, Vol.23 (1), p.9-9, Article 9

2023

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Editorial: Emerging areas in literature-based discovery

Frontiers in research metrics and analytics, 2023, Vol.8, p.1122547-1122547

2023

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Machine learning to predict virological failure among HIV patients on antiretroviral therapy in the University of Gondar Comprehensive and Specialized Hospital, in Amhara Region, Ethiopia, 2022

BMC medical informatics and decision making, 2023-04, Vol.23 (1), p.75-75, Article 75

2023

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GW29-e0830 GLADIATER: An algorithm to support anomaly detection from a longitudinal cardiovascular and diabetes dataset

Journal of the American College of Cardiology, 2018-10, Vol.72 (16), p.C244-C245

2018

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Spatial distribution and machine learning prediction of sexually transmitted infections and associated factors among sexually active men and women in Ethiopia, evidence from EDHS 2016

BMC infectious diseases, 2023-01, Vol.23 (1), p.49-49, Article 49

2023

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Mobile Food Journalling Application with Convolutional Neural Network and Transfer Learning: A Case for Diabetes Management in Malaysia

International journal of advanced computer science & applications, 2022, Vol.13 (9)

2022

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NNR-GL: A Measure to Detect Co-Nonlinearity Based on Neural Network Regression Regularized by Group Lasso

IEEE access, 2021, Vol.9, p.132033-132052

2021

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The boundary-spanning mechanisms of Nobel Prize winning papers

PloS one, 2021-01, Vol.16 (8), p.e0254744

2021

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Hybrid phishing detection using joint visual and textual identity

Expert systems with applications, 2023-06, Vol.220, p.119723, Article 119723

2023

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Learning the heterogeneous bibliographic information network for literature-based discovery

Knowledge-based systems, 2017-01, Vol.115, p.66-79

2017

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A graph-theoretic approach for the detection of phishing webpages

Computers & security, 2020-08, Vol.95, p.101793-14, Article 101793

2020

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Emerging approaches in literature-based discovery: techniques and performance review

Knowledge engineering review, 2017-05, Vol.32, Article e12

2017

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Predicting Future Links Between Disjoint Research Areas Using Heterogeneous Bibliographic Information Network

Advances in Knowledge Discovery and Data Mining, p.610-621

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Evaluation of the Neural-network-based Method to Discover Sets and Representatives of Nonlinearly Dependent Variables

2021 5th IEEE International Conference on Cybernetics (CYBCONF), 2021, p.101-106

2021

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Emerging approaches in literature-based discovery: techniques andperformance review

Knowledge engineering review, 2017-01, Vol.32

2017

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Understanding the Usability of a Literature-Based Discovery System Among Clinical Researchers in Sarawak, Malaysia

International journal of technology and human interaction, 2022-01, Vol.18 (1), p.1-21

2022

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Detecting DDoS attacks using a cascade of machine learning classifiers based on Random Forest and MLP-ANN

2021 IEEE Madras Section Conference (MASCON), 2021, p.1-6

2021

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Literature-Based Discovery by Learning Heterogeneous Bibliographic Information Networks

SIGIR forum, 2017-08, Vol.51 (1), p.75-76

Sebastian, Yakub

2017

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Cluster links prediction for literature based discovery using latent structure and semantic features

Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval, 2014, p.1275-1275

Sebastian, Yakub

2014

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Accelerating innovations through literature-based discovery: Qualitative analysis of an early usability evaluation

2020 IEEE 8th R10 Humanitarian Technology Conference (R10-HTC), 2020, p.1-6

2020

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Anomaly Detection from Diabetes Similarity Graphs using Community Detection and Bayesian Techniques

Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication, 2018, p.1-9

2018

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The boundary-spanning mechanisms of Nobel Prize winning papers

Prediction of incomplete immunization among under-five children in East Africa from recent demographic and health surveys: a machine learning approach

Information seeking about COVID-19 and associated factors among chronic patients in Bahir Dar city public hospitals, Northwest Ethiopia: a cross-sectional study

Modelling sustainable uniformity of the Australian national uniform legislation through ordinal regression

Prediction of contraceptive discontinuation among reproductive-age women in Ethiopia using Ethiopian Demographic and Health Survey 2016 Dataset: A Machine Learning Approach

Editorial: Emerging areas in literature-based discovery

Machine learning to predict virological failure among HIV patients on antiretroviral therapy in the University of Gondar Comprehensive and Specialized Hospital, in Amhara Region, Ethiopia, 2022

GW29-e0830 GLADIATER: An algorithm to support anomaly detection from a longitudinal cardiovascular and diabetes dataset

Spatial distribution and machine learning prediction of sexually transmitted infections and associated factors among sexually active men and women in Ethiopia, evidence from EDHS 2016

Mobile Food Journalling Application with Convolutional Neural Network and Transfer Learning: A Case for Diabetes Management in Malaysia

NNR-GL: A Measure to Detect Co-Nonlinearity Based on Neural Network Regression Regularized by Group Lasso

The boundary-spanning mechanisms of Nobel Prize winning papers

Hybrid phishing detection using joint visual and textual identity

Learning the heterogeneous bibliographic information network for literature-based discovery

A graph-theoretic approach for the detection of phishing webpages

Emerging approaches in literature-based discovery: techniques and performance review

Predicting Future Links Between Disjoint Research Areas Using Heterogeneous Bibliographic Information Network

Evaluation of the Neural-network-based Method to Discover Sets and Representatives of Nonlinearly Dependent Variables

Emerging approaches in literature-based discovery: techniques andperformance review

Understanding the Usability of a Literature-Based Discovery System Among Clinical Researchers in Sarawak, Malaysia

Detecting DDoS attacks using a cascade of machine learning classifiers based on Random Forest and MLP-ANN

Literature-Based Discovery by Learning Heterogeneous Bibliographic Information Networks

Cluster links prediction for literature based discovery using latent structure and semantic features

Accelerating innovations through literature-based discovery: Qualitative analysis of an early usability evaluation

Anomaly Detection from Diabetes Similarity Graphs using Community Detection and Bayesian Techniques

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