On the public citation graph

Student Academic Success Prediction Using Learning Management Multimedia Data With Convoluted Features and Ensemble Model

0 signed · 40 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s12652-018-1093-8openalex-snapshot
LR-HIDS: logistic regression host-based intrusion detection system for cloud environments
inferredcites →https://doi.org/10.1016/j.caeai.2021.100018openalex-snapshot
Artificial neural networks in academic performance prediction: Systematic implementation and predictor evaluation
inferredcites →https://doi.org/10.1016/j.comnet.2020.107183openalex-snapshot
A NSGA2-LR wrapper approach for feature selection in network intrusion detection
inferredcites →https://doi.org/10.1016/j.jbusres.2015.07.001openalex-snapshot
Big Data consumer analytics and the transformation of marketing
inferredcites →https://doi.org/10.1016/j.neucom.2020.02.125openalex-snapshot
Artificial neural network analysis of the academic performance of students in virtual learning environments
inferredcites →https://doi.org/10.1016/j.patrec.2021.07.009openalex-snapshot
Scientific papers citation analysis using textual features and SMOTE resampling techniques
inferredcites →https://doi.org/10.1016/j.patrec.2022.11.012openalex-snapshot
ETCNN: Extra Tree and Convolutional Neural Network-based Ensemble Model for COVID-19 Tweets Sentiment Classification
inferredcites →https://doi.org/10.1080/08839510490442058openalex-snapshot
PREDICTING STUDENTS' PERFORMANCE IN DISTANCE LEARNING USING MACHINE LEARNING TECHNIQUES
inferredcites →https://doi.org/10.1109/access.2021.3112546openalex-snapshot
RFCNN: Traffic Accident Severity Prediction Based on Decision Level Fusion of Machine and Deep Learning Model
inferredcites →https://doi.org/10.1142/9789813279827_0006openalex-snapshot
Removing Confounding Factors Associated Weights in Deep Neural Networks Improves the Prediction Accuracy for Healthcare Applications
inferredcites →https://doi.org/10.1145/3107411openalex-snapshot
Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology,and Health Informatics
inferredcites →https://doi.org/10.1177/07356331211056178openalex-snapshot
Predicting Students’ Achievement in a Hybrid Environment Through Self-Regulated Learning, Log Data, and Course Engagement: A Data Mining Approach
inferredcites →https://doi.org/10.1186/s40561-022-00192-zopenalex-snapshot
Educational data mining: prediction of students' academic performance using machine learning algorithms
inferredcites →https://doi.org/10.1186/s41239-019-0160-3openalex-snapshot
Prediction of Student’s performance by modelling small dataset size
inferredcites →https://doi.org/10.3390/app10113894openalex-snapshot
Predicting Student Performance in Higher Educational Institutions Using Video Learning Analytics and Data Mining Techniques
inferredcites →https://doi.org/10.3390/app10217677openalex-snapshot
Maximum Marginal Approach on EEG Signal Preprocessing for Emotion Detection
inferredcites →https://doi.org/10.3390/data6110110openalex-snapshot
Dataset of Students’ Performance Using Student Information System, Moodle and the Mobile Application “eDify”
inferredcites →https://doi.org/10.3390/electronics10232926openalex-snapshot
Intelligent Cyber-Security System for IoT-Aided Drones Using Voting Classifier
inferredcites →https://doi.org/10.3390/electronics11040667openalex-snapshot
A Deep Learning-Based Smart Framework for Cyber-Physical and Satellite System Security Threats Detection
inferredcites →https://doi.org/10.3390/electronics11071005openalex-snapshot
Prediction of Student Academic Performance Using a Hybrid 2D CNN Model
inferredcites →https://doi.org/10.3390/math10203737openalex-snapshot
A Method for Predicting the Academic Performances of College Students Based on Education System Data
inferredcites →https://doi.org/10.3390/s22134834openalex-snapshot
Predicting Students’ Academic Performance with Conditional Generative Adversarial Network and Deep SVM
inferredcites →https://doi.org/10.3390/su141811642openalex-snapshot
Using Artificial Intelligence to Predict Students’ Academic Performance in Blended Learning
inferredcites →https://doi.org/10.3390/w14172592openalex-snapshot
Water Quality Prediction Using KNN Imputer and Multilayer Perceptron
inferredcites →https://doi.org/10.3991/ijet.v16i12.20699openalex-snapshot
An Improved Early Student’s Academic Performance Prediction Using Deep Learning
inferredcites →https://doi.org/10.4236/ce.2016.718265openalex-snapshot
Education Web Information Retrieval and Classification with Big Data Analysis

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-981-92-4305-1_16openalex-snapshot
Predicting Student Success in Massive Open Online Courses: A Database-Driven Learning Analytics and Machine Learning Approach
inferred← citeshttps://doi.org/10.1007/s10791-025-09576-4openalex-snapshot
Enhancing student performance prediction: the role of class imbalance handling in machine learning models
inferred← citeshttps://doi.org/10.1109/esic64052.2025.10962753openalex-snapshot
Enhancing Student Grade Prediction Using Hybrid Stacking and Blending Regression Models
inferred← citeshttps://doi.org/10.1109/iatmsi64286.2025.10985712openalex-snapshot
Enhancing Student Performance Predictions Using Ensemble Models and Hyperparameter Tuning
inferred← citeshttps://doi.org/10.1109/icauc68182.2026.11440978openalex-snapshot
Analyzing the Relationship Between Academic Performance and Enrollment Patterns Using Machine Learning
inferred← citeshttps://doi.org/10.1109/icimia67127.2025.11200712openalex-snapshot
Machine Learning based Forecasting of Student Academic Success and Career Placement
inferred← citeshttps://doi.org/10.1109/ictacs62700.2024.10840530openalex-snapshot
Implementation of Machine Learning and Ensemble Learning Techniques to Proactively Predict Students' Academic Success in the Realm of Higher Education
inferred← citeshttps://doi.org/10.1145/3768801.3768917openalex-snapshot
An Intelligent Management System for Music Education Based on Big Data and Deep Learning
inferred← citeshttps://doi.org/10.1145/3769264openalex-snapshot
Editorial: Special Issue on Advanced Artificial Intelligence Technologies for Multimedia Big Data Quality
inferred← citeshttps://doi.org/10.1177/18758789261486037openalex-snapshot
Generative AI and adaptive systems for customising help-seeking scaffolds: A systematic review
inferred← citeshttps://doi.org/10.1177/2167647x251405797openalex-snapshot
Prediction of Remaining Life of Aircraft Engines Based on BiLSTM-GRU-Attention Model
inferred← citeshttps://doi.org/10.30935/cedtech/17453openalex-snapshot
Enhanced predictive performance: A comparative analysis of ML and DL models using on augmented LMS interaction data
inferred← citeshttps://doi.org/10.3390/app15031231openalex-snapshot
Enhancing Student Academic Success Prediction Through Ensemble Learning and Image-Based Behavioral Data Transformation
inferred← citeshttps://doi.org/10.4018/979-8-3693-0884-4.ch004openalex-snapshot
UNESCO's AI Competency Framework
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.