Spatiotemporal Prediction of Conflict Fatality Risk Using Convolutional Neural Networks and Satellite Imagery by Seth Goodman, Ariel BenYishay, Daniel Runfola

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Machine learning prediction of cancer cell sensitivity to drugs based on genomic and chemical properties. by Michael P Menden, Francesco Iorio, Mathew Garnett, Ultan McDermott, Cyril H Benes, Pedro J Ballester, Julio Saez-Rodriguez

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Early Risk Prediction in Acute Aortic Syndrome on Clinical Data Using Machine Learning by Mehdi Tavafi, Kalpdrum Passi, Robert Ohle

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Hydrographic Nodality as Index for Predicting Fish Species Richness in West African Riverine Ecosystems by R. P. King, A. O. Ekwu, I. E. Ekpo

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Hydrographic Nodality as Index for Predicting Fish Species Richness in West African Riverine Ecosystems by R. P. King, A. O. Ekwu, I. E. Ekpo

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A fundamental study for predicting the urban street noise by use of the image method approach by Mitsuo OHTA, Yasuo MITANI

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Fast and accurate prediction of drug induced proarrhythmic risk with sex specific cardiac emulators by Paula Dominguez-Gomez, Alberto Zingaro, Laura Baldo-Canut, Caterina Balzotti, Borje Darpo, Christopher Morton, Mariano Vázquez, Jazmin Aguado-Sierra

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Design of Experimental Problem Solving-Based Learning Program to Improve Mental Model and to Enhance Mental-Modeling Ability by S. Supriyatman, A. Suhandi, D. Rusdiana, A. Samsudin, F. C. Wibowo, J. Mansyur

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Empirical Analysis of Data Sampling-Based Decision Forest Classifiers for Software Defect Prediction by Fatima Enehezei Usman-Hamza, Abdullateef Oluwagbemiga Balogun, Hussaini Mamman, Luiz Fernando Capretz, Shuib Basri, Rafiat Ajibade Oyekunle, Hammed Adeleye Mojeed, Abimbola Ganiyat Akintola

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Application of Machine Learning in Predicting Quality Parameters in Metal Material Extrusion (MEX/M) by Karim Asami, Maxim Kuehne, Tim Röver, Claus Emmelmann

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Predicting the Relationship of Antecedent Variables of Intention to Use: Empirical Analysis on E-Money Application by Ganesha Triutomo Iswara, Kevin Wialdy, Sabrina Oktaria Sihombing

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Predicting pulmonary function using thoracic deformity parameters in early onset scoliosis patients. by Mattan R Orbach, Patrick J Cahill, Annalise Noelle Larson, Ron El-Hawary, Oscar H Mayer, Sriram Balasubramanian

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Operational data analytics for failure prediction and availability improvement in gas turbine power plants by Ahiamadu Jonathan Okirie, Ebigenibo Genuine Saturday, Mathew Izuchukwu Gift, Dickens Ewe

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Mechanical Design of McKibben Muscles Predicting Developed Force by Artificial Neural Networks by Michele Gabrio Antonelli, Pierluigi Beomonte Zobel, Muhammad Aziz Sarwar, Nicola Stampone

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Prediction of cholesterol level in patients with myocardial infarction based on medical data mining methods by Cemil Colak, Mehmet C. Colak, Necip Ermis, Nevzat Erdil, Ramazan Ozdemir

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Management and prediction of river flood utilizing optimization approach of artificial intelligence evolutionary algorithms by Rana Muhammad Adnan Ikram, Mo Wang, Hossein Moayedi, Atefeh Ahmadi Dehrashid

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Predicting anemia management in dialysis patients using open-source machine learning libraries by Takahiro Inoue, Norio Hanafusa, Yuki Kawaguchi, Ken Tsuchiya

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Do changes in the implied volatility of stock options predict future changes in CDS spreads? by Changsoo Hong, Yuen Jung Park

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Identifying a Pattern of Predictable Decadal North Pacific SST Variability in Historical Observations by Emily M. Gordon, Noah S. Diffenbaugh

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Improved maximum growth rate prediction from microbial genomes by integrating phylogenetic information by Liang Xu, Emily Zakem, JL Weissman

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