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Hybrid genetic random forest algorithm for the identification of ISI-indexed articles / Mohammadreza Moohebat
Published 2017“…After ensuring that the classification technique was able to accomplish this work, Hybrid Genetic Random Forests (HGRF) was introduced as a new ensemble classifier based on a Random Forest algorithm, but altered slightly with some innovations. …”
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Thesis -
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Classification of students' performance in computer programming course according to learning style
Published 2024Conference Paper -
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Classification of Students' Performance in Computer Programming Course According to Learning Style
Published 2024“…Previous studies examined some of the variables influencing students' performance using statistical data analysis. The critical point of this study is the use of classification algorithm to extract patterns which are examined from the cognitive factor specific learning style. …”
Proceedings Paper -
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Ensemble learning using multi-objective optimisation for arabic handwritten words
Published 2021“…Evaluation metrics from two perspectives classification and Multiobjective optimization. …”
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Design of intelligent Qira’at identification algorithm
Published 2017“…To evaluate the algorithm, 350 samples for 10 types of Qira’at recitation are in used, and for justifying the best pattern classification, few algorithms are tested in the early preliminary evaluation with K-Nearest Neighbour, GMM and PPCA. …”
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Penilaian esei berbantukan komputer menggunakan teknik Bayesian dan pengunduran linear berganda
Published 2006“…MMB Technique only required a small size of training data. (3) Prediction process of writing style using Multiple Linear Regression (MLR) Algorithm. …”
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7
Converged Classification Network For Matching Cost Computation
Published 2020“…The proposed convolutional neural network designed with the output neurons in the classification part scaled-downin converging style. The raw cost generated aggregated by the normalized box filter. …”
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Article -
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Discovering student learning styles in engineering mathematic at Politeknik Merlimau using neural network techniques
Published 2015“…This technique is used to consider their learning styles and how to improve students’ performance in learning DBM1013 – Engineering, Mathematics, the questionnaires were evaluated to identify the best learning styles used by students in learning Engineering Mathematics. …”
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9
Performances analysis of heart disease dataset using different data mining classifications
Published 2018“…There are many studies that explore the different classification algorithms for classification and prediction of heart disease. …”
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Optimizing large scale combinatorial problems using multiple ant colonies algorithm based on pheromone evaluation technique
Published 2008“…The new algorithm is based on the ant colony system and utilizes average and maximum pheromone evaluation mechanisms. …”
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Human gait recognition and classification using similarity index for various conditions
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Proceeding Paper -
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Multi-base number representation in application to scalar multiplication and pairing computation
Published 2011“…Multi-bases number representation is used to construct new versions of Miller’s algorithm. …”
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14
Semantic shot classification in soccer videos via playfield ratio and object size considerations.
Published 2013“…This paper presents a semantic shot classification algorithm for soccer videos. Generally, each shot within a match video is assigned either a far or close up-view class label. …”
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Article -
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A new multiple ant colonies optimization algorithm utilizing average pheromone evaluation mechanism
Published 2008“…Computational tests show promises of the new algorithm.…”
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CHINESE CHARACTER RECOGNITION USING SUPPORT VECTOR MACHINE
Published 2023“…Therefore, this paper proposes recognizing Chinese characters using support vector machines. Support vector machines are a classification of two classes widely used in classification. …”
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PMT : opposition based learning technique for enhancing metaheuristic algorithms performance
Published 2020“…Like existing OBL-based approaches, the PMT generates new potential solutions based on the currently selected candidate. …”
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Classification of SNPs for obesity analysis using FARNeM modelling
Published 2013“…However, the overall analysis showed that, it is encouraging to include feature selection process before the learning algorithms.…”
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Conference or Workshop Item -
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