Designing an attack-defense game: how to increase robustness of financial transaction models via a competition von Zaytsev, Alexey, Kovaleva, Maria, Natekin, Alex, Vorsin, Evgeni, Smirnov, Valerii, Smirnov, Georgii, Sidorshin, Oleg, Senin, Alexander, Dudin, Alexander, Berestnev, Dmitry

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Designing an attack-defense game: how to increase robustness of financial transaction models via a competition von Zaytsev, Alexey, Kovaleva, Maria, Natekin, Alex, Vorsin, Evgeni, Smirnov, Valerii, Smirnov, Georgii, Sidorshin, Oleg, Senin, Alexander, Dudin, Alexander, Berestnev, Dmitry

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Machine learning algorithms to predict core, skin, and hair-coat temperatures of piglets von Gorczyca, Michael T., Milan, Hugo Fernando Maia, Maia, Alex Sandro Campos, Gebremedhin, Kifle G.

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AGILE platform: a deep learning powered approach to accelerate LNP development for mRNA delivery von Xu, Yue, Ma, Shihao, Cui, Haotian, Chen, Jingan, Xu, Shufen, Gong, Fanglin, Golubovic, Alex, Zhou, Muye, Wang, Kevin Chang, Varley, Andrew, Lu, Rick Xing Ze, Wang, Bo, Li, Bowen

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Personalized predictions of patient outcomes during and after hospitalization using artificial intelligence von Hilton, C. Beau, Milinovich, Alex, Felix, Christina, Vakharia, Nirav, Crone, Timothy, Donovan, Chris, Proctor, Andrew, Nazha, Aziz

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Machine learning algorithms performed no better than regression models for prognostication in traumatic brain injury von Gravesteijn, Benjamin Y., Lingsma, Hester F., Nelson, David, Steyerberg, Ewout W., Andreassen, Lasse, Anke, Audny, Audibert, Gérard, Barzó, Pál, Beauvais, Romuald, Bellander, Bo-Michael, Benali, Habib, Beretta, Luigi, Blaabjerg, Morten, Brazinova, Alexandra, Brooker, Joanne, Brorsson, Camilla, Bullinger, Monika, Lozano, Guillermo Carbayo, Chieregato, Arturo, Coburn, Mark, Dawes, Helen, Della Corte, Francesco, Đilvesi, Đula, Esser, Patrick, Martin Fabricius, Erzsébet Ezer, Feigin, Kelly Foks, Valery L., Gagliardo, Pablo, Gantner, Dashiell, Gao, Guoyi, Glocker, Ben, Gravesteijn, Benjamin, Grossi, Francesca, Gruen, Russell L., Helbok, Raimund, Jacobs, Bram, Ji-yao Jiang, Mike Jarrett, Karan, Mladen, Kolias, Angelos G., Kompanje, Erwin, Koraropoulos, Evgenios, Koskinen, Lars-Owe, Laureys, Steven, Legrand, Valerie, Lightfoot, Roger, Lingsma, Hester, Castaño-León, Ana M., Manley, Geoffrey, Maréchal, Hugues, McMahon, Catherine, Menovsky, Tomas, Mulazzi, Davide, Nair, Nandesh, Nieboer, Daan, Nyirádi, József, Oresic, Matej, Ortolano, Fabrizio, Palotie, Aarno, Parizel, Paul M., Pirinen, Matti, Polinder, Suzanne, Posti, Jussi P., Puybasset, Louis, Radoi, Andreea, Rhodes, Jonathan, Richardson, Sylvia, Richter, Sophie, Ripatti, Samuli, Rocka, Saulius, Roe, Cecilie, Rosenlund, Christina, Rossaint, Rolf, Sakowitz, Oliver, Sandor, Janos, Schoechl, Herbert, Schou, Rico Frederik, Schwendenwein, Elisabeth, Sewalt, Charlie, Stamatakis, Emmanuel, Stanworth, Simon, Ao, Braden Te, Tenovuo, Olli, Theadom, Alice, Tibboel, Dick, Vajkoczy, Peter, Vallance, Shirley, van der Naalt, Joukje, van Dijck, Jeroen T.J.M., van Essen, Thomas A., van Heugten, Caroline, Van Praag, Dominique, Vyvere, Thijs Vande, Vespa, Paul M., Voormolen, Daphne, Wang, Kevin K.W., Wiegers, Eveline, Winzeck, Stefan, Wolf, Stefan, Yang, Zhihui, Younsi, Alexander, Zelinkova, Veronika

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Machine Learning Approach to Reduce Alert Fatigue Using a Disease Medication–Related Clinical Decision Support System: Model Development and Validation von Poly, Tahmina Nasrin, Islam, Md.Mohaimenul, Muhtar, Muhammad Solihuddin, Yang, Hsuan-Chia, Nguyen, Phung Anh (Alex), Li, Yu-Chuan (Jack)

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Predicting Patterns of Distant Metastasis in Breast Cancer Patients following Local Regional Therapy Using Machine Learning von Shiner, Audrey, Kiss, Alex, Saednia, Khadijeh, Jerzak, Katarzyna J, Gandhi, Sonal, Lu, Fang-I, Emmenegger, Urban, Fleshner, Lauren, Lagree, Andrew, Alera, Marie Angeli, Bielecki, Mateusz, Law, Ethan, Law, Brianna, Kam, Dylan, Klein, Jonathan, Pinard, Christopher J, Shenfield, Alex, Sadeghi-Naini, Ali, Tran, William T

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Exploring the clinical features of narcolepsy type 1 versus narcolepsy type 2 from European Narcolepsy Network database with machine learning von Zhang, Zhongxing, Mayer, Geert, Dauvilliers, Yves, Plazzi, Giuseppe, Pizza, Fabio, Fronczek, Rolf, Santamaria, Joan, Partinen, Markku, Overeem, Sebastiaan, Peraita-Adrados, Rosa, da Silva, Antonio Martins, Sonka, Karel, Rio-Villegas, Rafael del, Heinzer, Raphael, Wierzbicka, Aleksandra, Young, Peter, Högl, Birgit, Bassetti, Claudio L., Manconi, Mauro, Feketeova, Eva, Mathis, Johannes, Paiva, Teresa, Canellas, Francesca, Lecendreux, Michel, Baumann, Christian R., Barateau, Lucie, Pesenti, Carole, Antelmi, Elena, Gaig, Carles, Iranzo, Alex, Lillo-Triguero, Laura, Medrano-Martínez, Pablo, Haba-Rubio, José, Gorban, Corina, Luca, Gianina, Lammers, Gert Jan, Khatami, Ramin

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Modeling Performance of Butterfly Valves Using Machine Learning Methods von Ekster, Alex, Alchakov, Vasiliy, Meleshin, Ivan, Larionenko, Alexandr

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Machine learning algorithms to predict the catalytic reduction performance of eco-toxic nitrophenols and azo dyes contaminants (Invited Article) von Sathishkumar, V.E., Ramu, A.G., Cho, Jaehyuk

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Comparative study on deep and machine learning approaches for predicting wind pressures on tall buildings von Kaloop, Mosbeh R., Bardhan, Abidhan, Samui, Pijush, Hu, Jong Wan, Elsharawy, Mohamed

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Ensemble Learning Approach to Retinal Thickness Assessment in Optical Coherence Tomography von Cazanas-Gordon, Alex, Parra-Mora, Esther, Cruz, Luis A. Da Silva

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A dilated convolution‐based method with time series fine tuning for data‐driven crack length estimation von Gao, Jiaxin, Hu, Wenbo, Han, Qinan, Chen, Yuntian, Hong, Richang, Shi, Huiji

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A feature agnostic approach for glaucoma detection in OCT volumes von Maetschke, Stefan, Antony, Bhavna, Ishikawa, Hiroshi, Wollstein, Gadi, Schuman, Joel, Garnavi, Rahil

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Application of Machine Learning in the Field of Intraoperative Neurophysiological Monitoring: A Narrative Review von Park, Dougho, Kim, Injung

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Efficacy of the methods of age determination using artificial intelligence in panoramic radiographs — a systematic review von Niño-Sandoval, Tania Camila, Doria-Martinez, Ana Milena, Escobar, Ruby Amparo Vásquez, Sánchez, Elizabeth Llano, Rojas, Isabella Bermón, Álvarez, Laura Cristina Vargas, Mc Cann, David Stephen Fernandez, Támara-Patiño, Liliana Marcela

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Navigating the crisis: Fuel price caps in the Australian national wholesale electricity market von Pourkhanali, Armin, Khezr, Peyman, Nepal, Rabindra, Jamasb, Tooraj

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Innovative Dynamic Queue-Length Estimation Using Google Maps Color-Code Data von Sornsoongnern, Promporn, Pueboobpaphan, Suthatip, Pueboobpaphan, Rattaphol

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Reshaping Hyperspectral Data into a Two-Dimensional Image for a CNN Model to Classify Plant Species from Reflectance von Yuan, Shaoxiong, Song, Guangman, Huang, Guangqing, Wang, Quan

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