Predicting highway lane-changing maneuvers: A benchmark analysis of machine and ensemble learning algorithms

B Khelfa, I Ba, A Tordeux - Physica A: Statistical Mechanics and its …, 2023 - Elsevier
… machine and ensemble learning classification techniques to the … We predict two types of
discretionary lane-change maneuvers: … and anticipate the driving behaviors of the surrounding …

[HTML][HTML] Robust and accurate performance anomaly detection and prediction for cloud applications: a novel ensemble learning-based framework

R Xin, H Liu, P Chen, Z Zhao - Journal of Cloud Computing, 2023 - Springer
… to identify abnormal performance behavior and forestall future … patterns change, and prediction
ability for upcoming anomalies. … accuracy and robustness and predicting anomalies. To …

A data mining approach to predict academic performance of students using ensemble techniques

SSM Ajibade, NB Ahmad, SM Shamsuddin - Intelligent Systems Design …, 2020 - Springer
… of learners. In this research work, we made use of educational data to predict the academic
… This model has therefore evaluated the effect of the learning behavioral features of students …

A computing resources prediction approach based on ensemble learning for complex system simulation in cloud environment

S Wang, F Zhu, Y Yao, W Tang, Y Xiao… - … Modelling Practice and …, 2021 - Elsevier
… resource prediction approach based on ensemble learning … resource prediction framework
and an intelligent ensemble … the application to predict its future behavior. For instance, Al-…

Ensemble learning with 3D convolutional neural networks for functional connectome-based prediction

M Khosla, K Jamison, A Kuceyeski, MR Sabuncu - NeuroImage, 2019 - Elsevier
… Thus the SP-Ensemble's prediction was computed based on fusing 120 ( 30 × 4 scales) …
to behavior or disease. This strategy contrasts with current practice where the input to machine …

[HTML][HTML] Imaging of neural ensemble for the retrieval of a learned behavioral program

T Aoki, M Kinoshita, R Aoki, M Agetsuma, H Aizawa… - Neuron, 2013 - cell.com
… neural ensembles during a learned behavior. Fish were trained in a reinforcement learning
… The former possibility would predict disappearance of the activity once fish were retrained to …

[HTML][HTML] Ensemble learning for large-scale crowd flow prediction

V Karbovskii, M Lees, A Presbitero, A Kurilkin… - … Applications of Artificial …, 2021 - Elsevier
prediction and show that it decreases the prediction error by 13% as compared to existing
methods. The model is based on ensemble learningbehaviours. However, the knowledge …

Random forests-based extreme learning machine ensemble for multi-regime time series prediction

L Lin, F Wang, X Xie, S Zhong - Expert Systems with Applications, 2017 - Elsevier
… Every flight cycle has p t probability to be in the tth operational regime, and every operational
regime has its own time series behavior, thus, the proposed RF-based ELM ensemble is …

A unite and conquer based ensemble learning method for user behavior modeling

A Diop, N Emad, T Winter - 2020 IEEE 39th International …, 2020 - ieeexplore.ieee.org
… a new approach based on ensemble learning methods to improve their … behavioral anomalies
as a case study, we show the interest of this approach for its improvement of the prediction

Robust ensemble learning framework for day-ahead forecasting of household based energy consumption

MH Alobaidi, F Chebana, MA Meguid - Applied energy, 2018 - Elsevier
… In order to provide a feasible solution, this paper presents a framework for predicting the …
before due to the unguided overfitting behavior of the ensemble model in the training stage. The …