Predicting paediatric asthma exacerbations with machine learning: a systematic review with meta-analysis by Martina Votto, Annalisa De Silvestri, Lorenzo Postiglione, Maria De Filippo, Sara Manti, Stefania La Grutta, Gian Luigi Marseglia, Amelia Licari

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On the (im)possible validation of hydrogeological models by Andréassian, Vazken

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CacPred: a cascaded convolutional neural network for TF-DNA binding prediction by Shuangquan Zhang, Anjun Ma, Xuping Xie, Zhichao Lian, Yan Wang

“…In this study, we demonstrate that CacPred is an effective and feasible model for predicting TF-DNA binding. CacPred is freely available at https://github.com/zhangsq06/CacPred .…”
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Multi-Output Regression for the Prediction of World-Class Performances in Women’s Handball by Rayane Elimam, Nicolas NICOLAS, Jacques Prioux, Jacky Montmain, Stephane Perrey

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Application of machine learning algorithm for prediction of abortion among reproductive age women in Ethiopia by Angwach Abrham Asnake, Alemayehu Kasu Gebrehana, Hiwot Altaye Asebe, Beminate Lemma Seifu, Bezawit Melak Fente, Meklit Melaku Bezie, Mamaru Melkam, Sintayehu Simie Tsega, Yohannes Mekuria Negussie, Zufan Alamrie Asmare

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Predicting Pineapple Quality from Hyperspectral Data of Plant Parts Applied to Machine Learning by Vitória Carolina Dantas Alves, Sebastião Ferreira de Lima, Dthenifer Cordeiro Santana, Rafael Ferreira Barreto, Roger Augusto da Cunha, Ana Carina da Silva Cândido Seron, Larissa Pereira Ribeiro Teodoro, Paulo Eduardo Teodoro, Rita de Cássia Félix Alvarez, Cid Naudi Silva Campos, Carlos Antonio da Silva Junior, Fábio Luíz Checchio Mingotte

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<inline-formula><tex-math notation="LaTeX">$\mathcal {H}_{2}$</tex-math></inline-formula>- and <inline-formula><tex-math notation="LaTeX">$\mathcal {H}_\infty$</tex-math></inline-f... by Abhishek Pandala, Aaron D. Ames, Kaveh Akbari Hamed

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Stock Closing Price Prediction with Machine Learning Algorithms: PETKM Stock Example In BIST by Abdullah Hulusi Kökçam, Gültekin Çağıl, Şevval Toprak

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Solidus Temperature in Optimization and Prediction of Alloy Mild Steel in Tungsten Inert Gas Weldment by A. O. Igbinake, C. O. Aliyegbenoma

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Solidus Temperature in Optimization and Prediction of Alloy Mild Steel in Tungsten Inert Gas Weldment by A. O. Igbinake, C. O. Aliyegbenoma

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Application of the XGBoost Algorithm for Predicting the Target Effective Temperature in Closed Broiler Chicken Cage by Hartono

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PREDICTION OF TIN EXPORTS, POPULATION, POVERTY, AND LABOR FORCE IN THE PROVINCE OF BANGKA BELITUNG ISLANDS by Elyas Kustiawan, Desy Yuliana Dalimunthe, Vebtasvili Vebtasvili, Haslen Oktarianty, Yabes Sentosa Silaban, Fadillah Luthfiyah, Dita Rahmania

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Development and validation of nomograms to predict frailty-worsening trajectories among Chinese older adults by Jiaolan Du, Feng Ye, Min Zhang, Jinping Zeng, Ting Duan, Qin Song, Jun Yang, Yinyin Wu

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External validation of clinical prediction rules for complications and mortality following Clostridioides difficile infection. by Catherine Beauregard-Paultre, Claire Nour Abou Chakra, Allison McGeer, Annie-Claude Labbé, Andrew E Simor, Wayne Gold, Matthew P Muller, Jeff Powis, Kevin Katz, Suzanne M Cadarette, Jacques Pépin, Louis Valiquette

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When Time Prevails: The Perils of Overlooking Temporal Landscape Evolution in Landslide Susceptibility Predictions by Jinping Liu, Panxing He, Jianhua Xiao, Qingfeng Hu, Yanqun Ren, Aiding Kornejady, Huiran Gao

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Predicting the incidence of chronic kidney disease in patients with myocardial infarction and acute kidney injury by O. V. Demchuk, I. A. Sukmanova

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Enhancing flood prediction through remote sensing, machine learning, and Google Earth Engine by Sonia Hajji, Samira Krimissa, Kamal Abdelrahman, Abdelghani Boudhar, Abdelghani Boudhar, Abdelghani Boudhar, Abdenbi Elaloui, Maryam Ismaili, Meryem El Bouzekraoui, Mohamed Chikh Essbiti, Ali Y. Kahal, Biraj Kanti Mondal, Mustapha Namous, Mustapha Namous

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Toward generalizable prediction of antibody thermostability using machine learning on sequence and structure features by Ameya Harmalkar, Roshan Rao, Yuxuan Richard Xie, Jonas Honer, Wibke Deisting, Jonas Anlahr, Anja Hoenig, Julia Czwikla, Eva Sienz-Widmann, Doris Rau, Austin J. Rice, Timothy P. Riley, Danqing Li, Hannah B. Catterall, Christine E. Tinberg, Jeffrey J. Gray, Kathy Y. Wei

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Advanced attention-driven deep learning architectures for multi-depth soil temperature prediction by Safwan Mohammed, Sana Arshad, Akasairi Ocwa, Main Al-Dalahmeh, Ashraf ALDabbas, Muhammad Manhal Alzoubi, Attila Vad, Endre Harsányi

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Comparison of Oversampling Techniques on Minority Data Using Imbalance Software Defect Prediction Dataset by Deni Hidayat, Lindung Parningotan Manik

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