Search Results - Hafeez, K. A.

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  1. 1
    A fuzzy-logic-based cluster head selection algorithm in VANETs

    A fuzzy-logic-based cluster head selection algorithm in VANETs by Hafeez, K. A., Lian Zhao, Zaiyi Liao, Ma, Bobby Ngok-Wah

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  2. 2
    Multimodal Music Mood Classification Using Audio and Lyrics

    Multimodal Music Mood Classification Using Audio and Lyrics by Laurier, C., Grivolla, J., Herrera, P.

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  3. 3
    Prediction of Inter-residue Contact Clusters from Hydrophobic Cores

    Prediction of Inter-residue Contact Clusters from Hydrophobic Cores by Peng Chen, Chunmei Liu, Burge, L., Mohammad, M., Southerland, B., Gloster, C.

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  4. 4
    Comparison of Evaluation Metrics in Classification Applications with Imbalanced Datasets

    Comparison of Evaluation Metrics in Classification Applications with Imbalanced Datasets by Fatourechi, M., Ward, R.K., Mason, S.G., Huggins, J., Schlogl, A., Birch, G.E.

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  5. 5
    Reliability of cluster-based multichannel MAC protocols in VANETs

    Reliability of cluster-based multichannel MAC protocols in VANETs by Hafeez, K. A., Lian Zhao, Zaiyi Liao, Ma, B. N-W

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  6. 6
    Enhanced recursive feature elimination

    Enhanced recursive feature elimination by Xue-wen Chen, Jong Cheol Jeong

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  7. 7
    Adaptive Localization through Transfer Learning in Indoor Wi-Fi Environment

    Adaptive Localization through Transfer Learning in Indoor Wi-Fi Environment by Zhuo Sun, Yiqiang Chen, Juan Qi, Junfa Liu

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  8. 8
    An Application of Latent Dirichlet Allocation to Analyzing Software Evolution

    An Application of Latent Dirichlet Allocation to Analyzing Software Evolution by Linstead, E., Lopes, C., Baldi, P.

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  9. 9
    Chi-Sim: A New Similarity Measure for the Co-clustering Task

    Chi-Sim: A New Similarity Measure for the Co-clustering Task by Bisson, G., Hussain, F.

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  10. 10
    Calibrating Random Forests

    Calibrating Random Forests by Bostrom, H.

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  11. 11
    A Comparison of Three Different Methods for Classification of Breast Cancer Data

    A Comparison of Three Different Methods for Classification of Breast Cancer Data by Soria, D., Garibaldi, J.M., Biganzoli, E., Ellis, I.O.

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  12. 12
    Learning with limited minority class data

    Learning with limited minority class data by Khoshgoftaar, T.M., Seiffert, C., Van Hulse, J., Napolitano, A., Folleco, A.

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  13. 13
    Comparative Analysis of the Impact of Discretization on the Classification with Naïve Bayes and Semi-Naïve Bayes Classifiers

    Comparative Analysis of the Impact of Discretization on the Classification with Naïve Bayes and Semi-Naïve Bayes Classifiers by Mizianty, M., Kurgan, L., Ogiela, M.

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  14. 14
    Inferring Sparse Kernel Combinations and Relevance Vectors: An Application to Subcellular Localization of Proteins

    Inferring Sparse Kernel Combinations and Relevance Vectors: An Application to Subcellular Localization of Proteins by Damoulas, T., Ying, Y., Girolami, M.A., Campbell, C.

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  15. 15
    Tracking recurrent concept drift in streaming data using ensemble classifiers

    Tracking recurrent concept drift in streaming data using ensemble classifiers by Ramamurthy, S., Bhatnagar, R.

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  16. 16
    Image Segmentation as Learning on Hypergraphs

    Image Segmentation as Learning on Hypergraphs by Lei Ding, Yilmaz, A.

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  17. 17
    Speech Emotion Recognition Using Canonical Correlation Analysis and Probabilistic Neural Network

    Speech Emotion Recognition Using Canonical Correlation Analysis and Probabilistic Neural Network by Ling Cen, Wee Ser, Zhu Liang Yu

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  18. 18
    Performance Analysis of Broadcast Messages in VANETs Safety Applications

    Performance Analysis of Broadcast Messages in VANETs Safety Applications by Hafeez, K A, Lian Zhao, Zaiyi Liao, Ma, B N

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  19. 19
    Simulation Experiments with Bio-inspired Algorithms for Odor Source Localization in Laminar Wind Flow

    Simulation Experiments with Bio-inspired Algorithms for Odor Source Localization in Laminar Wind Flow by Lochmatter, T., Martinoli, A.

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  20. 20
    A Bayesian Learning Automaton for Solving Two-Armed Bernoulli Bandit Problems

    A Bayesian Learning Automaton for Solving Two-Armed Bernoulli Bandit Problems by Granmo, Ole-Christoffer

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