Standout Papers
- LightGBM: A Highly Efficient Gradient Boosting Decision Tree (2017)
Citation Impact
Citing Papers
Single-cell transcriptome landscape of circulating CD4+ T cell populations in autoimmune diseases
2024 StandoutNobel
Plant diseases and pests detection based on deep learning: a review
2021 Standout
Deep Learning-Based Segmentation and Quantification of Cucumber Powdery Mildew Using Convolutional Neural Network
2019
Foundation models for generalist medical artificial intelligence
2023 StandoutNature
Automatic Detection of Coronavirus Disease (COVID-19) in X-ray and CT Images: A Machine Learning Based Approach
2021
Coronavirus disease (COVID-19) cases analysis using machine-learning applications
2021 Standout
Feature rearrangement based deep learning system for predicting heart failure mortality
2020
Validation of Artificial Intelligence to Support the Automatic Coding of Patient Adverse Drug Reaction Reports, Using Nationwide Pharmacovigilance Data
2022
Language models are an effective representation learning technique for electronic health record data
2020
Revolutionizing healthcare: the role of artificial intelligence in clinical practice
2023 Standout
A Stacking Heterogeneous Ensemble Learning Method for the Prediction of Building Construction Project Costs
2022
A Survey on the Detection Algorithms for False Data Injection Attacks in Smart Grids
2019 Standout
Evaluation of session-based recommendation algorithms
2018
6G Internet of Things: A Comprehensive Survey
2021 Standout
GTxChain: A Secure IoT Smart Blockchain Architecture Based on Graph Neural Network
2023 Standout
A novel cryptocurrency price trend forecasting model based on LightGBM
2018
Short-Term Load Forecasting for Industrial Customers Based on TCN-LightGBM
2020 Standout
PPSF: A Privacy-Preserving and Secure Framework Using Blockchain-Based Machine-Learning for IoT-Driven Smart Cities
2021
Energy Theft Detection Using Gradient Boosting Theft Detector With Feature Engineering-Based Preprocessing
2019
Machine learning-assisted dispersion modelling based on genetic algorithm-driven ensembles: An application for road dust in Helsinki
2023
Distributed Deep Forest and its Application to Automatic Detection of Cash-Out Fraud
2019
Machine Learning and Deep Learning in smart manufacturing: The Smart Grid paradigm
2021 Standout
Side Information Fusion for Recommender Systems over Heterogeneous Information Network
2021
A Blockchain and Machine Learning-Based Drug Supply Chain Management and Recommendation System for Smart Pharmaceutical Industry
2020
A survey on ensemble learning
2019 Standout
Recommendation system based on deep learning methods: a systematic review and new directions
2019 Standout
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
2023 Standout
Accurate Interpretation of the Online Learning Model for 6G-Enabled Internet of Things
2021
Loss of Life Transformer Prediction Based on Stacking Ensemble Improved by Genetic Algorithm By IJISRT
2024 Standout
Digital currency forecasting with chaotic meta-heuristic bio-inspired signal processing techniques
2019 Standout
Federated learning enabled digital twins for smart cities: Concepts, recent advances, and future directions
2022 Standout
A hybrid GA and PSO optimized approach for heart-disease prediction based on random forest
2022 Standout
A Survey of Recommendation Systems: Recommendation Models, Techniques, and Application Fields
2022 Standout
An engineer's guide to eXplainable Artificial Intelligence and Interpretable Machine Learning: Navigating causality, forced goodness, and the false perception of inference
2021
Works of Taifeng Wang being referenced
Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks
2014
LightGBM: A Highly Efficient Gradient Boosting Decision Tree
2017 Standout
Large-Scale Low-Rank Matrix Learning with Nonconvex Regularizers
2018