Citation Impact
Citing Papers
Can log files analysis estimate learners' level of motivation?
2006
Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning
2000
The Optimality of Naive Bayes.
2004
State-of-the-art in artificial neural network applications: A survey
2018 Standout
Crop yield prediction using machine learning: A systematic literature review
2020 Standout
AI-Based Modeling: Techniques, Applications and Research Issues Towards Automation, Intelligent and Smart Systems
2022
Smart farming using artificial intelligence: A review
2023 Standout
Artificial Intelligence in Education: AIEd for Personalised Learning Pathways
2022 Standout
Mobile Data Science and Intelligent Apps: Concepts, AI-Based Modeling and Research Directions
2020
Inflammation and Cancer: Triggers, Mechanisms, and Consequences
2019 Standout
Challenges in real-life emotion annotation and machine learning based detection
2005
Prediction of off-target activities for the end-to-end design of CRISPR guide RNAs
2018
Transforming Growth Factor-β Signaling in Immunity and Cancer
2019 Standout
Data Science and Analytics: An Overview from Data-Driven Smart Computing, Decision-Making and Applications Perspective
2021
Applications of CRISPR-Cas Enzymes in Cancer Therapeutics and Detection
2018 StandoutNobel
Machine-learning approaches in drug discovery: methods and applications
2014
High-performance medicine: the convergence of human and artificial intelligence
2018 Standout
Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions
2021 Standout
Human Intestinal Transporter Database: QSAR Modeling and Virtual Profiling of Drug Uptake, Efflux and Interactions
2012
Stromal gene expression defines poor-prognosis subtypes in colorectal cancer
2015
EMT: 2016
2016 Standout
Machine Learning: Algorithms, Real-World Applications and Research Directions
2021 Standout
SwissADME: a free web tool to evaluate pharmacokinetics, drug-likeness and medicinal chemistry friendliness of small molecules
2017 Standout
Estimating the population abundance of tissue-infiltrating immune and stromal cell populations using gene expression
2016 Standout
A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions
2008 Standout
Massively parallel kinetic profiling of natural and engineered CRISPR nucleases
2020 StandoutNobel
ChatGPT Utility in Healthcare Education, Research, and Practice: Systematic Review on the Promising Perspectives and Valid Concerns
2023 Standout
Effectiveness analysis of machine learning classification models for predicting personalized context-aware smartphone usage
2019
On guiding the augmentation of an automated test suite via mutation analysis
2008
MoleculeNet: a benchmark for molecular machine learning
2017 Standout
Co-training with relevant random subspaces
2010
Educational data mining and learning analytics for 21st century higher education: A review and synthesis
2019 Standout
Data mining in course management systems: Moodle case study and tutorial
2007 Standout
Predictive ability of machine learning methods for massive crop yield prediction
2014
A systematic literature review on machine learning applications for sustainable agriculture supply chain performance
2020 Standout
Molecular Docking: Shifting Paradigms in Drug Discovery
2019 Standout
Computer vision technology in agricultural automation —A review
2019 Standout
ABC-RuleMiner: User behavioral rule-based machine learning method for context-aware intelligent services
2020
Software defect association mining and defect correction effort prediction
2006
Context-aware rule learning from smartphone data: survey, challenges and future directions
2019
A survey on ensemble learning
2019 Standout
Students' LMS interaction patterns and their relationship with achievement: A case study in higher education
2016
A Systematic Literature Review on Fault Prediction Performance in Software Engineering
2011 Standout
Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications
2010 Standout
AI-Driven Cybersecurity: An Overview, Security Intelligence Modeling and Research Directions
2021
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
2023 Standout
An Analysis and Survey of the Development of Mutation Testing
2010 Standout
A survey on semi-supervised learning
2019 Standout
Machine learning-based approach: global trends, research directions, and regulatory standpoints
2021 Standout
Current and future applications of statistical machine learning algorithms for agricultural machine vision systems
2018
Educational Data Mining: A Review of the State of the Art
2010 Standout
Algoritmos de clasificación y redes neuronales en la observación automatizada de registros
2015
Data Mining: Practical Machine Learning Tools and Techniques
2011 Standout
A new feature selection and hybrid forecast engine for day-ahead price forecasting of electricity markets
2017 Standout
Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review
2018 Standout
Técnicas de análisis en estudios observacionales en ciencias del deporte
2015 Standout
IoT, Big Data, and Artificial Intelligence in Agriculture and Food Industry
2020 Standout
A Survey on Human Activity Recognition using Wearable Sensors
2012 Standout
Evolutionary Optimization of Software Quality Modeling with Multiple Repositories
2010
Machine learning methods in chemoinformatics
2014
Machine Learning with Applications in Breast Cancer Diagnosis and Prognosis
2018
IEMOCAP: interactive emotional dyadic motion capture database
2008 Standout
Works of Leonard E. Trigg being referenced
Technical Note: Naive Bayes for Regression
2000
Jumble Java Byte Code to Measure the Effectiveness of Unit Tests
2007
Weka: Practical machine learning tools and techniques with Java implementations
1999
Naive Bayes for regression
1998