Yacine Rezgui
Artificial Intelligence · 2017–2022
A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 32 citations into it
- Computer Vision and Pattern Recognition — 15 citations into it
- Statistics and Probability — 7 citations into it
Whom Yacine Rezgui trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Yacine Rezgui's perspective
Ordered by how strongly the researchers Yacine Rezgui trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Scikit-learn: Machine Learning in Python
- Neural Network Ensembles
- Machine learning predictive models for mineral prospectivity: an evaluation of neural networks, random forest, regression trees and support vector machines
- Edge-Computing-Enabled Smart Cities: A Comprehensive Survey (IEEE Internet of Things Journal)
- Reinforcement learning for building controls: The opportunities and challenges (Applied Energy)
- Understanding household energy consumption behavior: The contribution of energy big data analytics
- Short-Term Load Forecasting Using EMD-LSTM Neural Networks with a Xgboost Algorithm for Feature Importance Evaluation
- Hybrid CNN-LSTM Model for Short-Term Individual Household Load Forecasting (IEEE Access)
- Forecasting mid-long term electric energy consumption through bagging ARIMA and exponential smoothing methods
Their papers
- Trees vs Neurons: Comparison between random forest and ANN for high-resolution prediction of building energy consumption (2017) — 926 citations
- AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives (2022) — 415 citations
- Towards a semantic Construction Digital Twin: Directions for future research (2020) — 349 citations
- Predictive modelling for solar thermal energy systems: A comparison of support vector regression, random forest, extra trees and regression trees (2018) — 543 citations