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1981por Dimitri Boeckaerts, Michiel Stock, Bjorn Criel, Hans Gerstmans, Bernard De Baets, Yves Briers“... this burden, we have developed a new machine-learning-based pipeline to predict bacteriophage hosts based...”
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1982“... on their engagement level (Not Engaged, Passively Engaged, and Actively Engaged). We applied three different machine...”
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1983por Jurgen Vandendriessche, Nick Wouters, Bruno da Silva, Mimoun Lamrini, Mohamed Yassin Chkouri, Abdellah Touhafi“... monitoring applications. The techniques for automated sound recognition often rely on machine learning...”
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1984“... as uses statistical and machine learning models for further processing. Statistical methods like grey...”
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1985“...Several supervised machine learning algorithms focused on binary classification for solving daily...”
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1986“... metabolites. We show using machine learning techniques that the scope is an excellent predictor of taxonomic...”
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1987“...With the advent of increased computational resources and improved algorithms, machine learning...”
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1988“... modelling and prediction becomes more important, Machine Learning researchers are becoming more aware...”
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1989por Jimmy Zhang, Tomi Jun, Jordi Frank, Sharon Nirenberg, Patricia Kovatch, Kuan-lin Huang“..., or occasional false findings. Here, we developed a machine learning-based framework for predicting individual...”
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1990por Mariana T. Rezende, Raniere Silva, Fagner de O. Bernardo, Alessandra H. G. Tobias, Paulo H. C. Oliveira, Tales M. Machado, Caio S. Costa, Fatima N. S. Medeiros, Daniela M. Ushizima, Claudia M. Carneiro, Andrea G. C. Bianchi“... negative. While machine learning has been highlighted to reduce the limitations of the test, the absence...”
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1991“... this requirement by employing machine learning techniques based on patient features, but they suffer from high...”
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1992“... machine learning‐based methods have great array error adaption capability. However, most existing machine...”
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1993por Ziren Wang, Jiaqi Li, George T. Flowers, Jinchun Gao, Kaixuan Song, Wei Yi, Zhongyang Cheng“... with Integrated Circuit Emphasis (SPICE). With these obtained electrical parameters, three machine learning...”
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1994“... signals using machine learning algorithms. By analyzing how classification accuracy on unseen data varies...”
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1995“... on their engagement level (Not Engaged, Passively Engaged, and Actively Engaged). We applied three different machine...”
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1996“... of machine learning based models may provide reliable results. Recently, numerous studies have been conducted...”
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1997por Ben R. Cairns, Benjamin Jevans, Atchariya Chanpong, Dale Moulding, Conor J. McCann“.... Conventional confocal imaging; combined with novel machine learning approaches, and automated computational...”
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1998“... techniques and machine learning methods. This study took both the synchronous and asynchronous activity...”
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1999“...Decision trees learning is one of the most practical classification methods in machine learning...”
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2000por Clíssia Barboza da Silva, Nielsen Moreira Oliveira, Marcia Eugenia Amaral de Carvalho, André Dantas de Medeiros, Marina de Lima Nogueira, André Rodrigues dos Reis“.... The present study employed autofluorescence-spectral imaging and machine learning algorithms to develop...”
Publicado 2021
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