Search Results - (( new evaluation metric algorithm ) OR ( image classification problem algorithm ))

Search alternatives:

Refine Results
  1. 1
    A new classifier based on combination of genetic programming and support vector machine in solving imbalanced classification problem

    A new classifier based on combination of genetic programming and support vector machine in solving imbalanced classification problem by Mohd Pozi, Muhammad Syafiq

    Published 2016
    “…There are two methods in dealing with imbalanced classification problem, which are based on data or algorithmic level. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  2. 2
    Recognition of multi-type and multi-oriented text in videos / Sangheeta Roy

    Recognition of multi-type and multi-oriented text in videos / Sangheeta Roy by Sangheeta , Roy

    Published 2018
    “…The proposed methods are evaluated over standard datasets and our own datasets using standard evaluation metrics. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  3. 3
    Improving Accuracy Metric with Precision and Recall Metrics for Optimizing Stochastic Classifier

    Improving Accuracy Metric with Precision and Recall Metrics for Optimizing Stochastic Classifier by Hossin, M., Sulaiman, M.N, Mustapha, N., Rahmat, R.W

    Published 2011
    “…We refer the new evaluation metric as optimized accuracy with recall-precision (OARP). …”
    Get full text
    Get full text
    Proceeding
    Save to List
    Saved in:
  4. 4
    Improving accuracy metric with precision and recall metrics for optimizing stochastic classifier

    Improving accuracy metric with precision and recall metrics for optimizing stochastic classifier by Hossin, Mohammad, Sulaiman, Md. Nasir, Mustapha, Norwati, O. K. Rahmat, Rahmita Wirza

    Published 2011
    “…We refer the new evaluation metric as optimized accuracy with recall-precision (OARP). …”
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  5. 5
    Improving accuracy metric with precision and recall metrics for optimizing stochastic classifier

    Improving accuracy metric with precision and recall metrics for optimizing stochastic classifier by M., Hossin, M.N., Sulaiman, N., Mustpaha, R.W., Rahmat

    Published 2011
    “…In this study, we propose a new evaluation metric that combines accuracy metric with the extended precision and recall metrics to negate these detrimental effects.We refer the new evaluation metric as optimized accuracy with recall-precision (OARP). …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  6. 6
    Evaluation of Visual Network Algorithms on Historical Documents

    Evaluation of Visual Network Algorithms on Historical Documents by Khairunnisa, Binti Ibrahim

    Published 2020
    “…Therefore, for a new document, evaluation of algorithms is ineluctable. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  7. 7
    Performance evaluation metrics for multi-objective evolutionary algorithms in search-based software engineering: systematic literature review

    Performance evaluation metrics for multi-objective evolutionary algorithms in search-based software engineering: systematic literature review by Nuh, Jamal Abdullahi, Koh, Tieng Wei, Baharom, Salmi, Osman, Mohd Hafeez, Kew, Si Na

    Published 2021
    “…To evaluate such performance, it is necessary to consider a number of performance metrics that play important roles during the evaluation and comparison of investigated algorithms based on their best-simulated results. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  8. 8
    Efficiency and fairness of new-additive increase multiplicative decrease congestion avoidance and control algorithm

    Efficiency and fairness of new-additive increase multiplicative decrease congestion avoidance and control algorithm by Jasem, Hayder Natiq, Ahmad Zulkarnain, Zuriati, Othman, Mohamed, Subramaniam, Shamala

    Published 2011
    “…And also all of the researches for the congestion avoidance algorithms, interest about this parameters metrics to evaluate the performance of the algorithms. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  9. 9
    Validation on an enhanced dendrite cell algorithm using statistical analysis

    Validation on an enhanced dendrite cell algorithm using statistical analysis by Mohamad Mohsin, Mohamad Farhan, Hamdan, Abdul Razak, Abu Bakar, Azuraliza, Abd Wahab, Mohd Helmy

    Published 2017
    “…From the evaluation, the new version of dendrite cell algorithm was statistically proven to have improvement with a significant difference compared to its previous versions in all performance metrics.…”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  10. 10
    An improved defect classification algorithm for six printing defects and its implementation on real printed circuit board images

    An improved defect classification algorithm for six printing defects and its implementation on real printed circuit board images by Ibrahim, I., Ibrahim, Z., Khalil, K., Mokji, M.M., Abu Bakar, S.A.R.S., Mokhtar, N., Ahmad, W.K.W.

    Published 2012
    “…The defect classification algorithm is improved by incorporating proper image registration and thresholding techniques to solve the alignment and uneven illumination problem. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  11. 11
    A Hybrid Evaluation Metric for Optimizing Classifier

    A Hybrid Evaluation Metric for Optimizing Classifier by Hossin, M., Sulaiman, M.N, Mustapha, A., Mustapha, N., Rahmat, R.W

    Published 2011
    “…In this study, we propose a hybrid evaluation metric, which combines the accuracy metric with the precision and recall metrics. …”
    Get full text
    Get full text
    Get full text
    Proceeding
    Save to List
    Saved in:
  12. 12
    A hybrid evaluation metric for optimizing classifier

    A hybrid evaluation metric for optimizing classifier by Hossin, Mohammad, Sulaiman, Md. Nasir, Mustapha, Aida, Mustapha, Norwati, O. K. Rahmat, Rahmita Wirza

    Published 2011
    “…In this study, we propose a hybrid evaluation metric, which combines the accuracy metric with the precision and recall metrics. …”
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  13. 13
    Supervised ANN classification for engineering machined textures based on enhanced features extraction and reduction scheme

    Supervised ANN classification for engineering machined textures based on enhanced features extraction and reduction scheme by Ashour, Mohammed Waleed, Khalid, Fatimah, Al-Obaydee, Mohammed

    Published 2013
    “…Some of the main problems of image classification are the poor features that does not precisely represent an image, and the large dimensionality of data input passed to classifiers. …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  14. 14
    Classification model for water quality using machine learning techniques

    Classification model for water quality using machine learning techniques by Azilawati, Rozaimee, Azrul Amri, Jamal, Azwa, Abdul Aziz

    Published 2015
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  15. 15
    Scheduling tight deadlines for scientific workflows in the cloud

    Scheduling tight deadlines for scientific workflows in the cloud by Bajaher, Awadh Salem Saleh

    Published 2018
    “…The results show that the PDC performs better in term of success rate metric while the DCCP algorithm has better performance in term of normalized cost metric. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  16. 16
    An intermediate significant bit (ISB) watermarking technique using neural networks

    An intermediate significant bit (ISB) watermarking technique using neural networks by Zeki, A., Abubakar, A., Chiroma, H.

    Published 2016
    “…Many researchers have used these approaches to evaluate their algorithms. These strategies have been used for a long time, however, which unfortunately limits the value of PSNR and NCC in reflecting the strength and weakness of the watermarking algorithms. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  17. 17
    Extremal region detection and selection with fuzzy encoding for food recognition

    Extremal region detection and selection with fuzzy encoding for food recognition by Razali @ Ghazali, Mohd Norhisham

    Published 2019
    “…The first algorithm locates interest points in food images using an MSER. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  18. 18
    Efficient region of interest based metric learning for effective open world deep face

    Efficient region of interest based metric learning for effective open world deep face by Faizabadi, Ahmed Rimaz, Mohd Zaki, Hasan Firdaus, Zainal Abidin, Zulkifli, Nik Hashim, Nik Nur Wahidah, Husman, Muhammad Afif

    Published 2022
    “…To establish the effectiveness, we investigated various threshold finding strategies for five state-of-the-art face recognition algorithms for open world adaptation on different datasets.We also proposed a novel performance evaluation metric for FR algorithms on imbalanced datasets. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  19. 19
    RLMD-PA: A Reinforcement Learning-Based Myocarditis Diagnosis Combined with a Population-Based Algorithm for Pretraining Weights

    RLMD-PA: A Reinforcement Learning-Based Myocarditis Diagnosis Combined with a Population-Based Algorithm for Pretraining Weights by Seyed Vahid Moravvej, Roohallah Alizadehsani, Sadia Khanam, Zahra Sobhaninia, Afshin Shoeibi, Fahime Khozeimeh, Zahra Alizadeh Sani, Ru-San Tan, Abbas Khosravi, Saeid Nahavandi, Nahrizul Adib Kadri, N. Arunkumar, U.Rajendra Acharya, Muhammad Mokhzaini Azizan

    Published 2024
    journal::journal article
    Save to List
    Saved in:
  20. 20
    Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad

    Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad by Ahmad, Khairul Adilah

    Published 2018
    “…In general, image segmentation isolates an object from the images, feature extraction creates features for classification phase while object classification categorizes objects into the correct groups. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:

Search Tools: