MMTraP: Multi-Sensor Multi-Agent Trajectory Prediction in BEV by Sushil Sharma, Arindam Das, Ganesh Sistu, Mark Halton, Ciaran Eising

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Machine Learning for Precision Agriculture: Predicting Persimmon Peak Harvest Dates and Yield Using Meteorological Data by Atsushi Okayama, Atsushi Yamamoto, Yutaka Matsuno, Masaomi Kimura

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Multiplying insights from perturbation experiments: predicting new perturbation combinations by Joshua Welch

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Back to Predicting Future Educational Attainment: Two New Measures and Their Validity by Stephen L. Morgan

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Human Mobility Prediction Based on Social Media with Complex Event Processing by Fernando Terroso-Sáenz, Jesús Cuenca-Jara, Aurora González-Vidal, Antonio F. Skarmeta

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Comparing ChatGPT And LSTM In Predicting Changes In Quarterly Financial Metrics by Vitali Chaiko

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RNA-protein interaction prediction using network-guided deep learning by Haoquan Liu, Yiren Jian, Chen Zeng, Yunjie Zhao

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Using publicly available data for predicting socioeconomic values in urban context by Maximiliano Ojeda, Juan Reutter

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Learning probability distributions of sensory inputs with Monte Carlo predictive coding. by Gaspard Oliviers, Rafal Bogacz, Alexander Meulemans

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The application of machine learning approaches to classify and predict fertility rate in Ethiopia  by Ewunate Assaye Kassaw, Biruk Beletew Abate, Bekele Mulat Enyew, Ashenafi Kibret Sendekie

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Pose-Driven Body Shape Prediction Algorithm Based on the Conditional GAN by Jiwon Jang, Jiseong Byeon, Daewon Jung, Jihun Chang, Sekyoung Youm

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THE ALTERNATIVE TOOLS FOR PREDICTION OF CARDIOVASCULAR RISK IN OBESITY: FOCUS ON ARTERIAL STIFFNESS by M. A. Druzhilov, O. Yu. Druzhilova, V. V. Otmakhov, T. Yu. Kuznetsova

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Machine learning-based prediction of LDL cholesterol: performance evaluation and validation by Jing-Bi Meng, Zai-Jian An, Chun-Shan Jiang

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Comparative analysis of ensemble learning techniques for enhanced fatigue life prediction by Sasan Farhadi, Samuele Tatullo, Francesco Ferrian

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IDMPF: intelligent diabetes mellitus prediction framework using machine learning by Leila Ismail, Huned Materwala

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Predicting autism from written narratives using deep neural networks by Izabela Chojnicka, Aleksander Wawer

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Machine learning to improve predictive performance of prehospital early warning scores by Logan Morgan Ward, Tim Alex Lindskou, Mads Lause Mogensen, Erika Frischknecht Christensen, Morten Breinholt Søvsø

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Machine-Learning Methods Estimating Flights’ Hidden Parameters for the Prediction of KPIs by George Vouros, Ioannis Ioannidis, Georgios Santipantakis, Theodore Tranos, Konstantinos Blekas, Marc Melgosa, Xavier Prats

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Understanding and predicting COVID-19 clinical trial completion vs. cessation. by Magdalyn E Elkin, Xingquan Zhu

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Comparative analysis of machine learning approaches for heatwave event prediction in India by Ritesh Choudary V, Anita Christaline Johnvictor, Prem Sankar N

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