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Speech Recognition Using Deep Neural Networks: A Systematic Review

IEEE access, 2019, Vol.7, p.19143-19165

2019

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Software defect prediction using learning to rank approach

Scientific reports, 2023-11, Vol.13 (1), p.18885-18885, Article 18885

2023

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Telemedicine interventions in type 2 diabetes management: a protocol for systematic review and network meta-analysis

BMJ open, 2024-02, Vol.14 (2), p.e078100

2024

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Software Defect Density Prediction Using Deep Learning

IEEE access, 2022, Vol.10, p.1-1

2022

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On obtaining a stable vote ranking methodology for implementing e-government strategies

Journal of King Saud University. Computer and information sciences, 2022-06, Vol.34 (6), p.3379-3392

2022

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A Fecal-Microbial-Extracellular-Vesicles-Based Metabolomics Machine Learning Framework and Biomarker Discovery for Predicting Colorectal Cancer Patients

Metabolites, 2023-04, Vol.13 (5), p.589

2023

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Examining stability of machine learning methods for predicting dementia at early phases of the disease

Decision Science Letters, 2022, p.333-346

2022

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Software Defect Prediction Using Non-Dominated Sorting Genetic Algorithm and $k$-Nearest Neighbour Classifier

E-informatica : software engineering journal, 2024, Vol.18 (1), p.240103

2024

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Spatial, temporal, and space-time clusters associated with opioid and cannabis poisoning events in U.S. dogs (2005-2014)

PloS one, 2022-04, Vol.17 (4), p.e0266883-e0266883

2022

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A hybrid model for estimating software project effort from Use Case Points

Applied soft computing, 2016-12, Vol.49, p.981-989

2016

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Hate speech detection in the Arabic language: corpus design, construction, and evaluation

Frontiers in artificial intelligence, 2024-02, Vol.7, p.1345445-1345445

2024

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The identification of risk factors contributing to accidental opioid poisonings in companion dogs using data from a North American poison control center (2006-2014)

PloS one, 2020-01, Vol.15 (1), p.e0227701

2020

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The impact of state cannabis legislation, county-level socioeconomic and dog-level characteristics on reported cannabis poisonings of companion dogs in the USA (2009-2014)

PloS one, 2021-04, Vol.16 (4), p.e0250323

2021

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An optimized case-based software project effort estimation using genetic algorithm

Information and software technology, 2023-01, Vol.153, p.107088, Article 107088

2023

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Phylogenomic Analyses and Molecular Signatures Elucidating the Evolutionary Relationships amongst the Chlorobia and Ignavibacteria Species: Robust Demarcation of Two Family-Level Clades within the Order Chlorobiales and Proposal for the Family Chloroherpetonaceae fam. nov

Microorganisms (Basel), 2022-06, Vol.10 (7), p.1312

2022

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Truth Seeker of the Largest Social Media Content using Machine Learning Algorithms

2023 International Conference on Machine Learning and Applications (ICMLA), 2023, p.1606-1610

2023

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Locally weighted regression with different kernel smoothers for software effort estimation

Science of computer programming, 2022-02, Vol.214, p.102744, Article 102744

2022

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Comparative analysis of soft computing techniques for predicting software effort based use case points

IET software, 2018-02, Vol.12 (1), p.19-29

2018

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Examining the performance of kernel methods for software defect prediction based on support vector machine

Science of computer programming, 2023-03, Vol.226, p.102916, Article 102916

2023

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Analogy-based effort estimation: a new method to discover set of analogies from dataset characteristics

IET software, 2015-04, Vol.9 (2), p.39-50

2015

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Analyzing the Role of Class Rebalancing Techniques in Software Defect Prediction

International journal of information technology & decision making, 2023-08, p.1-41

2023

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A soft computing approach for software defect density prediction

Journal of software : evolution and process, 2024-04, Vol.36 (4), p.n/a

2024

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Online Reputation Model Using Moving Window

International journal of advanced computer science & applications, 2017-01, Vol.8 (4)

Azzeh, Mohammad

2017

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Explainable artificial intelligence model for identifying COVID-19 gene biomarkers

Computers in biology and medicine, 2023-03, Vol.154, p.106619-106619, Article 106619

2023

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Software Development Effort Estimation Using Regression Fuzzy Models

Computational intelligence and neuroscience, 2019-01, Vol.2019 (2019), p.1-17

2019

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Speech Recognition Using Deep Neural Networks: A Systematic Review

Software defect prediction using learning to rank approach

Telemedicine interventions in type 2 diabetes management: a protocol for systematic review and network meta-analysis

Software Defect Density Prediction Using Deep Learning

On obtaining a stable vote ranking methodology for implementing e-government strategies

A Fecal-Microbial-Extracellular-Vesicles-Based Metabolomics Machine Learning Framework and Biomarker Discovery for Predicting Colorectal Cancer Patients

Examining stability of machine learning methods for predicting dementia at early phases of the disease

Software Defect Prediction Using Non-Dominated Sorting Genetic Algorithm and $k$-Nearest Neighbour Classifier

Spatial, temporal, and space-time clusters associated with opioid and cannabis poisoning events in U.S. dogs (2005-2014)

A hybrid model for estimating software project effort from Use Case Points

Hate speech detection in the Arabic language: corpus design, construction, and evaluation

The identification of risk factors contributing to accidental opioid poisonings in companion dogs using data from a North American poison control center (2006-2014)

The impact of state cannabis legislation, county-level socioeconomic and dog-level characteristics on reported cannabis poisonings of companion dogs in the USA (2009-2014)

An optimized case-based software project effort estimation using genetic algorithm

Phylogenomic Analyses and Molecular Signatures Elucidating the Evolutionary Relationships amongst the Chlorobia and Ignavibacteria Species: Robust Demarcation of Two Family-Level Clades within the Order Chlorobiales and Proposal for the Family Chloroherpetonaceae fam. nov

Truth Seeker of the Largest Social Media Content using Machine Learning Algorithms

Locally weighted regression with different kernel smoothers for software effort estimation

Comparative analysis of soft computing techniques for predicting software effort based use case points

Examining the performance of kernel methods for software defect prediction based on support vector machine

Analogy-based effort estimation: a new method to discover set of analogies from dataset characteristics

Analyzing the Role of Class Rebalancing Techniques in Software Defect Prediction

A soft computing approach for software defect density prediction

Online Reputation Model Using Moving Window

Explainable artificial intelligence model for identifying COVID-19 gene biomarkers

Software Development Effort Estimation Using Regression Fuzzy Models

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