Search Results - classifier using interactive
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1
One-Class Classifier to Predict Protein-Protein Interactions based on Hydrophobibity Properties
Published 2006“…These results imply that protein-protein interaction can be predicted using oneclass classifier with reliable accuracy.…”
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Conference or Workshop Item -
2
Comparative system performance of speech emotion recognition from the perspective of SVM and MLP / Anis Abd Kamal Sayuti
Published 2013“…The MLP and SVM classifiers are used to train the system and classify each emotion according to its categories namely as anger, sadness, happiness and neutral. …”
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Thesis -
3
One-class support vector machines for protein-protein interactions prediction
Published 2006“…These results imply that proteinprotein interaction can be predicted using one-class classifier with comparable accuracy to the binary classifiers that use artificially constructed negative examples.…”
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4
Comparative study of machine learning algorithms in data classification
Published 2025“…The implementatn and comparative analysis will be conducted using Python, and Streamlit. Python scripts can now be transformed into interactive web apps through the integration of Streamlit, enabling dynamic viewing and real-time interaction with classification results. …”
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Final Year Project / Dissertation / Thesis -
5
The development of machine learning based software for predicting protein-protein interactions and protein function from protein primary structure
Published 2007“…These results imply that protein-protein interaction can be predicted using one-class classifier with comparable accuracy to the binary classifiers that use artificially constructed negative examples. …”
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Monograph -
6
Affective-model based high level controller for human-robot applications
Published 2012“…The paper presents a real-time affective state detection namely the engagement level detection by using fuzzy classifier that can be applied to human-robot interaction. …”
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7
FIS-PNN: a hybrid computational method for protein-protein interactions prediction using the secondary structure information
Published 2012“…As a result, they must interact with each other. In this study we used our approach, namely FIS-PNN, to predict the interacting proteins in yeast from the information of their secondary structures using hybrid machine learning algorithms. …”
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8
A Framework for analysis Students' Academic Performance using Naive Bayes Classifier
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Conference or Workshop Item -
9
Human-Robot Interaction With Animal Robot PARO For Patients With Depression
Published 2019“…By using Haar cascade classifier method, the pre-processing program was able to clean the dataset and improve the accuracy to 8-12%. …”
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Thesis -
10
Comparison of supervised and unsupervised learning classifiers for human posture recognition
Published 2010“…Firstly, the system was trained and evaluated to classify five different human postures using both supervised and unsupervised learning classifiers. …”
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Proceeding Paper -
11
Hand motion detection from EMG signals by using ANN based classifier for human computer interaction
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Proceeding Paper -
12
Predicting protein-protein interactions as a one-class classification problem
Published 2006“…These results imply that protein-protein interaction can be predicted using one-class classifier with reliable accuracy.…”
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13
Gesture recognition based on the probability distribution of arm trajectories
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Towards an intelligent framework for pressure-based 3D curve drawing
Published 2014“…We propose instead a framework which applies signal processing techniques tuned to individual curve type. A neural network classifier is used as a curve classifier. Based on the classification, a custom combination of signal processing techniques is then applied. …”
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16
Human posture recognition and classification
Published 2013“…This paper presents a novel an intelligent human posture recognition system for video surveillance using a single static camera. The training and testing were performed using four different classifiers. …”
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Proceeding Paper -
17
Malay words and dialect identification using long short-term memory and convolutional neural networks on trained Mel frequency cepstral coefficient / Mohd Azman Hanif Sulaiman
Published 2022“…In support of this, several objectives need to be achieved is to perform features extraction using MFCC on Malaysian Dialect, then to classify the Malaysian Dialect using CNN and LSTM neural networks and compare the performance of CNN and LSTM neural networks on Malay dialect identification.…”
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Thesis -
18
User to user topic recommendation model for student social interaction
Published 2025“…The results show that the mean satisfaction level is 3.873. This model can be used in a working setting to trigger social interactions based on mutual interest. …”
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Thesis -
19
Bio Acoustic Signal Identification Based On Sparse Representation Classifier Frog Species Voice Identification
Published 2018“…In this project, the classifier used is Sparse Representation Classifier (SRC) and Kernel Sparse Representation Classifier (KSRC). …”
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Monograph -
20
Social interactions of Orang Asli preschoolers in Malaysia
Published 2021“…The socioculturally appropriate collaborative interaction were identified and classified into seven dominant categories. …”
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