Citation Impact
Citing Papers
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
2021 Standout
Artificial intelligence enabled intrusion detection systems for cognitive cyber-physical systems in industry 4.0 environment
2022
A systematic study of the class imbalance problem in convolutional neural networks
2018 Standout
Augmenting organizational decision-making with deep learning algorithms: Principles, promises, and challenges
2020
Predicting academic performance of students from VLE big data using deep learning models
2019 Standout
Data fusion and machine learning for industrial prognosis: Trends and perspectives towards Industry 4.0
2018
Systematic review of research on artificial intelligence applications in higher education – where are the educators?
2019 Standout
A New Kind of Nonparametric Test for Statistical Comparison of Multiple Classifiers Over Multiple Datasets
2016
GPU-SME- k NN: Scalable and memory efficient k NN and lazy learning using GPUs
2016
Recent Advances and Industrial Applications of Multilevel Converters
2010 Standout
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 Standout
A Systematic Review on Educational Data Mining
2017 Standout
Artificial intelligence, bias and clinical safety
2019 Standout
Educational data mining and learning analytics for 21st century higher education: A review and synthesis
2019 Standout
Beluga whale optimization: A novel nature-inspired metaheuristic algorithm
2022 Standout
Tutorial on practical tips of the most influential data preprocessing algorithms in data mining
2015
Artificial intelligence, machine learning and deep learning in advanced robotics, a review
2023 Standout
Analyzing undergraduate students' performance using educational data mining
2017 Standout
AI-Empowered Trajectory Anomaly Detection for Intelligent Transportation Systems: A Hierarchical Federated Learning Approach
2022
Industrial Security Solution for Virtual Reality
2020
A systematic literature review on machine learning applications for sustainable agriculture supply chain performance
2020 Standout
A comprehensive search for expert classification methods in disease diagnosis and prediction
2018
Sentiment analysis on massive open online course evaluations: A text mining and deep learning approach
2020 Standout
A Review on Representative Swarm Intelligence Algorithms for Solving Optimization Problems: Applications and Trends
2021 Standout
A survey on ensemble learning
2019 Standout
A Survey on Metaverse: Fundamentals, Security, and Privacy
2022 Standout
Personalized learning full-path recommendation model based on LSTM neural networks
2018
Multi-objective PSO based online feature selection for multi-label classification
2021
Predicting students' final performance from participation in on-line discussion forums
2013 Standout
Learning from class-imbalanced data: Review of methods and applications
2016 Standout
Recommendation system based on deep learning methods: a systematic review and new directions
2019 Standout
AI-enabled adaptive learning systems: A systematic mapping of the literature
2021 Standout
On hyperparameter optimization of machine learning algorithms: Theory and practice
2020 Standout
Identifying At-Risk Students for Early Interventions—A Time-Series Clustering Approach
2015 Standout
Imbalanced data classification based on scaling kernel-based support vector machine
2014
Pulsewidth Modulations for the Comprehensive Capacitor Voltage Balance of $n$-Level Three-Leg Diode-Clamped Converters
2009
Identifying industry 5.0 contributions to sustainable development: A strategy roadmap for delivering sustainability values
2022 Standout
A survey on data preprocessing for data stream mining: Current status and future directions
2017
Data mining techniques on satellite images for discovery of risk areas
2016
SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary
2018 Standout
A Survey on GPU-Based Implementation of Swarm Intelligence Algorithms
2015
Data mining in education
2012 Standout
A hybrid GA and PSO optimized approach for heart-disease prediction based on random forest
2022 Standout
Multi-split optimized bagging ensemble model selection for multi-class educational data mining
2020
A Review of Further Directions for Artificial Intelligence, Machine Learning, and Deep Learning in Smart Logistics
2020 Standout
Participation-based student final performance prediction model through interpretable Genetic Programming: Integrating learning analytics, educational data mining and theory
2014
Data mining techniques applied in educational environments: Literature Review
2018
Student Engagement Predictions in an e-Learning System and Their Impact on Student Course Assessment Scores
2018
Early detection of university students with potential difficulties
2017
Virtual learning environment to predict withdrawal by leveraging deep learning
2019
Works of Alberto Cano being referenced
Parallel multi-objective Ant Programming for classification using GPUs
2013
Hybrid Group Anomaly Detection for Sequence Data: Application to Trajectory Data Analytics
2021
A survey on graphic processing unit computing for large‐scale data mining
2017
Adapted K-Nearest Neighbors for Detecting Anomalies on Spatio–Temporal Traffic Flow
2019
Predicting student failure at school using genetic programming and different data mining approaches with high dimensional and imbalanced data
2012
Online ensemble learning with abstaining classifiers for drifting and noisy data streams
2017
Weighted Data Gravitation Classification for Standard and Imbalanced Data
2013
ur-CAIM: improved CAIM discretization for unbalanced and balanced data
2014
Discovering useful patterns from multiple instance data
2016
Nonlinear control of neutral point in three-level single-phase converter by means of switching redundant states
2006
Distributed nearest neighbor classification for large-scale multi-label data on spark
2018
High performance evaluation of evolutionary-mined association rules on GPUs
2013
Speeding up the evaluation phase of GP classification algorithms on GPUs
2011
An interpretable classification rule mining algorithm
2013
A Two-Phase Anomaly Detection Model for Secure Intelligent Transportation Ride-Hailing Trajectories
2020
Early dropout prediction using data mining: a case study with high school students
2015
LAIM discretization for multi-label data
2015
Distributed Selection of Continuous Features in Multilabel Classification Using Mutual Information
2019
Scalable CAIM discretization on multiple GPUs using concurrent kernels
2014