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Deep learning in computer vision: A critical review of emerging techniques and application scenarios
Chai, Junyi, Zeng, Hao, Li, Anming, Ngai, Eric W.T.
Published in Machine learning with applications (01.12.2021)
Published in Machine learning with applications (01.12.2021)
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Chatbots: History, technology, and applications
Adamopoulou, Eleni, Moussiades, Lefteris
Published in Machine learning with applications (15.12.2020)
Published in Machine learning with applications (15.12.2020)
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Self supervised contrastive learning for digital histopathology
Ciga, Ozan, Xu, Tony, Martel, Anne Louise
Published in Machine learning with applications (01.03.2022)
Published in Machine learning with applications (01.03.2022)
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Rainfall prediction: A comparative analysis of modern machine learning algorithms for time-series forecasting
Barrera-Animas, Ari Yair, Oyedele, Lukumon O., Bilal, Muhammad, Akinosho, Taofeek Dolapo, Delgado, Juan Manuel Davila, Akanbi, Lukman Adewale
Published in Machine learning with applications (01.03.2022)
Published in Machine learning with applications (01.03.2022)
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Predicting stock market index using LSTM
Bhandari, Hum Nath, Rimal, Binod, Pokhrel, Nawa Raj, Rimal, Ramchandra, Dahal, Keshab R., Khatri, Rajendra K.C.
Published in Machine learning with applications (15.09.2022)
Published in Machine learning with applications (15.09.2022)
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A comparison among interpretative proposals for Random Forests
Aria, Massimo, Cuccurullo, Corrado, Gnasso, Agostino
Published in Machine learning with applications (15.12.2021)
Published in Machine learning with applications (15.12.2021)
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Optimizing ensemble weights and hyperparameters of machine learning models for regression problems
Shahhosseini, Mohsen, Hu, Guiping, Pham, Hieu
Published in Machine learning with applications (15.03.2022)
Published in Machine learning with applications (15.03.2022)
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Renewable energy management in smart grids by using big data analytics and machine learning
Mostafa, Noha, Ramadan, Haitham Saad Mohamed, Elfarouk, Omar
Published in Machine learning with applications (01.09.2022)
Published in Machine learning with applications (01.09.2022)
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Transforming sentiment analysis in the financial domain with ChatGPT
Fatouros, Georgios, Soldatos, John, Kouroumali, Kalliopi, Makridis, Georgios, Kyriazis, Dimosthenis
Published in Machine learning with applications (01.12.2023)
Published in Machine learning with applications (01.12.2023)
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Brain tumor detection in MR image using superpixels, principal component analysis and template based K-means clustering algorithm
Islam, Md Khairul, Ali, Md Shahin, Miah, Md Sipon, Rahman, Md Mahbubur, Alam, Md Shahariar, Hossain, Mohammad Amzad
Published in Machine learning with applications (15.09.2021)
Published in Machine learning with applications (15.09.2021)
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Deep learning for anomaly detection in log data: A survey
Landauer, Max, Onder, Sebastian, Skopik, Florian, Wurzenberger, Markus
Published in Machine learning with applications (15.06.2023)
Published in Machine learning with applications (15.06.2023)
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A benchmark study of machine learning models for online fake news detection
Khan, Junaed Younus, Khondaker, Md. Tawkat Islam, Afroz, Sadia, Uddin, Gias, Iqbal, Anindya
Published in Machine learning with applications (15.06.2021)
Published in Machine learning with applications (15.06.2021)
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A Transfer Learning approach for AI-based classification of brain tumors
Mehrotra, Rajat, Ansari, M.A., Agrawal, Rajeev, Anand, R.S.
Published in Machine learning with applications (15.12.2020)
Published in Machine learning with applications (15.12.2020)
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An investigation of XGBoost-based algorithm for breast cancer classification
Liew, Xin Yu, Hameed, Nazia, Clos, Jeremie
Published in Machine learning with applications (15.12.2021)
Published in Machine learning with applications (15.12.2021)
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A benchmark study on time series clustering
Javed, Ali, Lee, Byung Suk, Rizzo, Donna M.
Published in Machine learning with applications (15.09.2020)
Published in Machine learning with applications (15.09.2020)
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An effective adaptive customization framework for small manufacturing plants using extreme gradient boosting-XGBoost and random forest ensemble learning algorithms in an Industry 4.0 environment
Kiangala, Sonia Kahiomba, Wang, Zenghui
Published in Machine learning with applications (15.06.2021)
Published in Machine learning with applications (15.06.2021)
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