A continuous-time network evolution model describing $ N $-interactions by István Fazekas, Attila Barta, László Fórián, Bettina Porvázsnyik

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Robust parameter design for constrained randomization lifetime improvement experiments by Shanshan Lv, Yichen Zhao, Sen Li, Guodong Wang, Xueqing Wang

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Enhancing individual glomerular filtration rate assessment: can we trust the equation? Development and validation of machine learning models to assess the trustworthiness of estima... by Antoine Lanot, Anna Akesson, Felipe Kenji Nakano, Celine Vens, Jonas Björk, Ulf Nyman, Anders Grubb, Per-Ola Sundin, Björn O. Eriksen, Toralf Melsom, Andrew D. Rule, Ulla Berg, Karin Littmann, Kajsa Åsling-Monemi, Magnus Hansson, Anders Larsson, Marie Courbebaisse, Laurence Dubourg, Lionel Couzi, Francois Gaillard, Cyril Garrouste, Lola Jacquemont, Nassim Kamar, Christophe Legendre, Lionel Rostaing, Natalie Ebert, Elke Schaeffner, Arend Bökenkamp, Christophe Mariat, Hans Pottel, Pierre Delanaye

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DTI-MHAPR: optimized drug-target interaction prediction via PCA-enhanced features and heterogeneous graph attention networks by Guang Yang, Yinbo Liu, Sijian Wen, Wenxi Chen, Xiaolei Zhu, Yongmei Wang

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Federated Learning Based on Kernel Local Differential Privacy and Low Gradient Sampling by Yi Chen, Dan Chen, Niansheng Tang

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Monitoring of hepatitis E virus infection and replication by functional tagging of the ORF2 protein by Maliki Ankavay, Nathalie Da Silva, Angela Pollán, Noémie Oechslin, Katja Dinkelborg, Patrick Behrendt, Darius Moradpour, Jérôme Gouttenoire

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Enhancing imputation accuracy for catch-all missing data mechanisms with DFBETAS and leverage by Fares Qeadan, William A. Barbeau

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Evaluation of Randomised Controlled Trials Published in Indian Specialty Dental Journals for Statistical Testing of Baseline Differences: A Meta-Epidemiological Study by Mahesh R. Khairnar, PG Naveen Kumar, Ananta Kusumakar, Zainab Akram, Harloveen Sabharwal, Sachin Jadhav

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The Use of Machine Learning Methods in Road Safety Research in Poland by Anna Borucka, Sebastian Sobczuk

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Lightning-induced vulnerability assessment in Bangladesh using machine learning and GIS-based approach by Tanmoy Mazumder, Md. Mustafa Saroar

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Data normalization in machine learning by V. V. Starovoitov, Yu. I. Golub

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Algorithm for Cloud Particle Phase Identification Based on Bayesian Random Forest Method by Fu Tao, Yang Zhipeng, Tao Fa, Hu Shuzhen, Lu Yuxiang, Fu Changqing

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Methods, algorithms and programs of computer algebra in problems of registration and analysis of random point structures by A.L. Reznik, A.A. Soloviev

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Classifying Food Items During an Eating Occasion: A Machine Learning Approach with Slope Dynamics for Windowed Kinetic Data by Ileana Baldi, Corrado Lanera, Mohammad Junayed Bhuyan, Paola Berchialla, Luca Vedovelli, Dario Gregori

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Density Formula in Malliavin Calculus by Using Stein’s Method and Diffusions by Hyun-Suk Park

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Examination of empirical and Machine Learning methods for regression of missing or invalid solar radiation data using routine meteorological data as predictors by Konstantinos X Soulis, Evangelos E Nikitakis, Aikaterini N Katsogiannou, Dionissios P Kalivas

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CFO-CR: Carrier Frequency Offset Methodology for High-Rate Common Randomness Generation by Prashanth Kumar Herooru Sheshagiri, Martin Reisslein, Juan A. Cabrera, Frank H. P. Fitzek

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On Priority in Multi-Issue Bankruptcy Problems with Crossed Claims by Rick Acosta-Vega, Encarnación Algaba, Joaquín Sánchez-Soriano

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The method of investigation of basic project parameters of microsatellite by random search by V. N. Blinov, A. I. Lukyanchik, V. V. Shalay

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The Cost of Regulating Effort: Reward and Difficulty Cues With Longer Prediction Horizons Have a Stronger Impact on Performance by Nanne Kukkonen, Senne Braem, Jens Allaert, Joshua O. Eayrs, Nicoleta Prutean, S. Tabitha Steendam, C. Nico Boehler, Jan R. Wiersema, Wim Notebaert, Ruth M. Krebs

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