Search Results - Amasyali, M. Fatih

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  1. 1
    Cyclical Curriculum Learning

    Cyclical Curriculum Learning by Kesgin, H. Toprak, Amasyali, M. Fatih

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  2. 2
    Performance Evaluation of the Machine Learning Algorithms Used in Inference Mechanism of a Medical Decision Support System

    Performance Evaluation of the Machine Learning Algorithms Used in Inference Mechanism of a Medical Decision Support System by Kose, Guven, Sever, Hayri, Amasyali, M. Fatih, Bal, Mert, Demırhan, Ayse

    Published in TheScientificWorld
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  3. 3
    Analysis of Changes in Market Shares of Commercial Banks Operating in Turkey Using Computational Intelligence Algorithms

    Analysis of Changes in Market Shares of Commercial Banks Operating in Turkey Using Computational Intelligence Algorithms by Amasyali, M. Fatih, Demırhan, Ayse, Bal, Mert

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  4. 4
    Exploiting natural language services: a polarity based black-box attack

    Exploiting natural language services: a polarity based black-box attack by GUMUS, Fatma, AMASYALI, M. Fatih

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  5. 5
    Optimizing Large Language Models for Turkish: New Methodologies in Corpus Selection and Training

    Optimizing Large Language Models for Turkish: New Methodologies in Corpus Selection and Training by H Toprak Kesgin, Yuce, M Kaan, Dogan, Eren, Uzun, M Egemen, Uz, Atahan, Ince, Elif, Erdem, Yusuf, Shbib, Osama, Zeer, Ahmed, Amasyali, M Fatih

    Published in arXiv.org
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  6. 6
    Development and Comparison of Scoring Functions in Curriculum Learning

    Development and Comparison of Scoring Functions in Curriculum Learning by H Toprak Kesgin, Amasyali, M Fatih

    Published in arXiv.org
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  7. 7
    Active learning for Turkish sentiment analysis

    Active learning for Turkish sentiment analysis by Cetin, Mahmut, Fatih Amasyali, M.

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  8. 8
    Cline: A New Decision-Tree Family

    Cline: A New Decision-Tree Family by Amasyali, M. Fatih, Ersoy, Okan

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  9. 9
    Investigating Semi-Supervised Learning Algorithms in Text Datasets

    Investigating Semi-Supervised Learning Algorithms in Text Datasets by Kesgin, H. Toprak, Amasyali, M. Fatih

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  10. 10
    Evaluation of robustness of ensemble learners to noisy data

    Evaluation of robustness of ensemble learners to noisy data by Albayrak, A., Ozgur Cingiz, M., Fatih Amasyali, M.

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  11. 11
    Optimizing Large Language Models for Turkish: New Methodologies in Corpus Selection and Training

    Optimizing Large Language Models for Turkish: New Methodologies in Corpus Selection and Training by Kesgin, H. Toprak, Yuce, M. Kaan, Dogan, Eren, Uzun, M. Egemen, Uz, Atahan, Ince, Elif, Erdem, Yusuf, Shbib, Osama, Zeer, Ahmed, Amasyali, M. Fatih

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  12. 12
    Introducing cosmosGPT: Monolingual Training for Turkish Language Models

    Introducing cosmosGPT: Monolingual Training for Turkish Language Models by Kesgin, H. Toprak, Yuce, M. Kaan, Dogan, Eren, Uzun, M. Egemen, Uz, Atahan, Seyrek, H. Emre, Zeer, Ahmed, Amasyali, M. Fatih

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  13. 13
    Cyclical Curriculum Learning

    Cyclical Curriculum Learning by H Toprak Kesgin, Amasyali, M Fatih

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  14. 14
    Cosmos-LLaVA: Chatting with the Visual Cosmos-LLaVA: Görselle Sohbet Etmek

    Cosmos-LLaVA: Chatting with the Visual Cosmos-LLaVA: Görselle Sohbet Etmek by Zeer, Ahmed, Dogan, Eren, Erdem, Yusuf, Ince, Elif, Shbib, Osama, Uzun, M Egemen, Uz, Atahan, Yuce, M Kaan, H Toprak Kesgin, Amasyali, M Fatih

    Published in arXiv.org
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  15. 15
    Supervised and traditional term weighting methods for sentiment analysis

    Supervised and traditional term weighting methods for sentiment analysis by Cetin, M., Amasyali, M. F.

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  16. 16
    Active learning with committees and the selection of starting sets

    Active learning with committees and the selection of starting sets by Agan, Cem, Amasyali, M. F.

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  17. 17
    Usage of HoG (histograms of oriented gradients) features for victim detection at disaster areas

    Usage of HoG (histograms of oriented gradients) features for victim detection at disaster areas by Uzun, Yucel, Balcilar, Muhammet, Mahmoodi, Khudaydad, Davletov, Feruz, AmasyalI, M. Fatih, Yavuz, Sirma

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  18. 18
    The performance factors of clustering ensembles

    The performance factors of clustering ensembles by Amasyali, M. Fatih, Ersoy, Okan

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  19. 19
    Clustering Application Benchmark

    Clustering Application Benchmark by Altun, Oguz, Dursunoglu, Nilgun, Amasyali, M. Fatih

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  20. 20
    A New Feature Extraction Method for Text Classification

    A New Feature Extraction Method for Text Classification by Yildiz, H. Kemal, Genctav, Murat, Usta, Nurullah, Diri, Banu, Amasyali, M. Fatih

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