Which type of metrics are useful to deal with class imbalance in software defect prediction? von Öztürk, Muhammed Maruf

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Initializing hyper-parameter tuning with a metaheuristic-ensemble method: a case study using time-series weather data von Öztürk, Muhammed Maruf

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A tuned feed-forward deep neural network algorithm for effort estimation von Öztürk, Muhammed Maruf

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Hyperparameter Optimization of a Parallelized LSTM for Time Series Prediction von Öztürk, Muhammed Maruf

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MFRLMO: Model-free reinforcement learning for multi-objective optimization of apache spark von Öztürk, Muhammed Maruf

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Optimizing echo state network through a novel fisher maximization based stochastic gradient descent von Öztürk, Muhammed Maruf, Cankaya, İbrahim Arda, İpekçi, Deniz

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Head pose healthiness prediction using a novel image quality based stacked autoencoder von Nejkovic, Valentina, Öztürk, Muhammed Maruf, Petrovic, Nenad

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A novel defect prediction method for web pages using k-means von Öztürk, Muhammed Maruf, Cavusoglu, Unal, Zengin, Ahmet

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A Decade of Progress: A Systematic Literature Review on the Integration of AI in Software Engineering Phases and Activities (2013-2023) von Durrani, Usman Khan, Akpinar, Mustafa, Fatih Adak, Muhammed, Talha Kabakus, Abdullah, Maruf Ozturk, Muhammed, Saleh, Mohammed

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To what extent is tuned neural network pruning beneficial in software effort estimation? von Muhammed Maruf Ozturk

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Comparing Hyperparameter Optimization in Cross- and Within-Project Defect Prediction: A Case Study von Öztürk, Muhammed Maruf

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Developing a hyperparameter optimization method for classification of code snippets and questions of stack overflow: HyperSCC von Öztürk, Muhammed

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Energy Efficiency Analysis of Code Refactoring Techniques for Green and Sustainable Software in Portable Devices von Şanlıalp, İbrahim, Öztürk, Muhammed Maruf, Yiğit, Tuncay

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How repeated data points affect bug prediction performance: A case study von Öztürk, Muhammed Maruf, Zengin, Ahmet

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The impact of parameter optimization of ensemble learning on defect prediction von Muhammed Maruf Ozturk

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Is Complexity-based Clustering of Process Metrics as Effective as in Static Code Metrics von Öztürk, Muhammed Maruf

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A bat-inspired algorithm for prioritizing test cases von Öztürk, Muhammed Maruf

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INTEGRATION OF QFD AND DEA METHODS TOGETHER TO PRIORITISE CUSTOMER EXPECTATIONS: THE CASE OF A SERVICE ORGANISATION von Maruf, Muhammed

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complexFuzzy: A novel clustering method for selecting training instances of cross-project defect prediction von Ozturk, Muhammed Maruf

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Is Complexity-based Clustering of Process Metrics as Effective as in Static Code Metrics von Öztürk, Muhammed Maruf

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