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LLMs in Education: Evaluation GPT and BERT Models in Student Comment Classification
Published 2025-05-01“…Therefore, when comparing the effectiveness of these models, it was determined that all LLMs performed well in this classification task.…”
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Semantic-BERT and semantic-FastText model for education question classification
Published 2025-05-01“…Experimental results show that both models achieve 100% accuracy, precision, and recall in classifying question sentences, demonstrating their effectiveness in educational question classification. …”
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Benchmarking with a Language Model Initial Selection for Text Classification Tasks
Published 2025-01-01“…A semantic similarity assessment of random texts is used as the proxy task for the initial selection, and the approach is explicated in the context of various text classification assignments. Extensive experiments across eight text classification tasks (both single- and multi-class) from diverse domains are conducted with seven popular pre-trained language models (both general-purpose and domain-specific). …”
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Best Practices in Academic Management. Study Programs Classification Model
Published 2016-05-01“…This research proposes a model of classification of the study programs within a Bachelor and Master cycle based on the education performance and efficiency. …”
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Design of Cross-Source Education Information Classification Model Based on Cloud Computing Technology
Published 2022-01-01“…Finally, a cross-source education information classification model in the cloud computing environment was designed. …”
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Machine Learning Approaches for Real-Time Mineral Classification and Educational Applications
Published 2025-02-01“…The application of this methodology in Mineral Quest, an educational Python-based game, underscores its practical potential in geology education, mining, and geological surveys, offering an engaging and accurate tool for real-time mineral classification.…”
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A Hybrid Model of Feature Extraction and Dimensionality Reduction Using ViT, PCA, and Random Forest for Multi-Classification of Brain Cancer
Published 2025-05-01“…This article introduces a novel hybrid CAD approach named ViT-PCA-RF, which integrates Vision Transformer (ViT) and Principal Component Analysis (PCA) with Random Forest (RF) for brain tumor classification, providing a new method in the field. ViT was employed for feature extraction, PCA for feature dimension reduction, and RF for brain tumor classification. …”
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Cooperative Hybrid Modelling and Dimensionality Reduction for a Failure Monitoring Application in Industrial Systems
Published 2025-03-01Subjects: “…hybrid modelling…”
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Application research on classification and integration model of innovation and entrepreneurship education resources based on GNN-PSO algorithm
Published 2025-12-01“…However, traditional methods cannot deal with complex and multi-dimensional educational resource data. Therefore, this study proposes a classification and integration model of innovation and entrepreneurship education resources based on GNN-PSO (graph neural networks and particle swarm optimization). …”
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Online Educational Platforms: Classification and Criteria for Assessing
Published 2022-07-01“…The authors analyzed the main approaches to the classification of educational platforms and proposed their own typology according to the ways of interaction between participants in the educational process. …”
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Optimal System, Reductions, and Conservation Laws of a Nonlinear Damped Klein-Gordon- Fock Equation
Published 2025-01-01Get full text
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Leaf disease detection and classification in food crops with efficient feature dimensionality reduction.
Published 2025-01-01“…The proposed Efficient Labelled Feature Dimensionality Reduction utilizing CNN-BiLSTM (ELFDR-LDC-CNN-BiLSTM) model is compared to current models to show its effectiveness in reducing extracted features for leaf detection and classification tasks.…”
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A Structured AHP-Based Approach for Effective Error Diagnosis in Mathematics: Selecting Classification Models in Engineering Education
Published 2025-06-01Subjects: Get full text
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Employing Data Mining Techniques and Machine Learning Models in Classification of Students’ Academic Performance.
Published 2024“…The study deals with the use of data mining techniques to build a classification model to predict students' academic performance. …”
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Developing a hybrid feature selection method to detect botnet attacks in IoT devices
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Joint Tomek Links (JTL): An Innovative Approach to Noise Reduction for Enhanced Classification Performance
Published 2025-01-01Get full text
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Model of Automatic Classification and Localization of Images
Published 2019-05-01Get full text
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