Lifelong Language Learning With the Most Forgotten Knowledge by Heejeong Choi, Pilsung Kang

“…Specifically, it selects the examples with the most forgotten knowledge learned from previous tasks based on the extent to which they include knowledge that has been forgotten after learning new information. …”
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ILA4: Overcoming missing values in machine learning datasets – An inductive learning approach by Ammar Elhassan, Saleh M. Abu-Soud, Firas Alghanim, Walid Salameh

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Social learning in the city hall: obstacles and solutions to make the most of municipal councils in Brussels by Mohamad-Amin Alomar, Nadège Carlier, Stéphane Moyson

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The Role of Kano Model in Revealing the Most Significant Physicochemical Properties of Wines by Amalia Luque, Mirko Mazzoleni, Ana de Las Heras, Antonio Ferramosca, Fabio Previdi, Alejandro Carrasco

“…It has also been shown that using four categories of features, as it is proposed in the Kano model, is the most reasonable partition from an ML clustering perspective.…”
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INVESTIGATING AND IDENTIFYING THE MOST IMPORTANT FACTORS AFFECTING THE QUALITY OF TEACHING AND LEARNING OF STUDENTS OF THE RAILWAY ENGINEERING FACULTY by Seyed Ali Mosayebi, Mahmoud Khani Alamoti, Ali Samarghandi, Zeinab Hojati

“…The aim of the current research is to identify the most important factors affecting the quality of learning and teaching and provide solutions to improve it in the students of the Railway Engineering Faculty. …”
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Combining Environmental Variables and Machine Learning Methods to Determine the Most Significant Factors Influencing Honey Production by Johanna Ramirez-Diaz, Arianna Manunza, Tiago Almeida de Oliveira, Tania Bobbo, Francesco Nutini, Mirco Boschetti, Maria Grazia De Iorio, Giulio Pagnacco, Michele Polli, Alessandra Stella, Giulietta Minozzi

“…This study aimed to identify the most important features and predict Total Honey Harvest (THH) by combining machine learning (ML) methods with climatic conditions and environmental factors recorded from the winter before and during the harvest season. …”
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Race course characteristics are the most important predictors in 48 h ultramarathon running by Beat Knechtle, David Valero, Elias Villiger, Katja Weiss, Pantelis T. Nikolaidis, Lorin Braschler, Rodrigo Luiz Vancini, Marilia Santos Andrade, Ivan Cuk, Thomas Rosemann, Mabliny Thuany

“…Men were ~ 0.5 km/h faster than women. Most finishers were 45–49 years old, and runners in this age group achieved the fastest running speeds. …”
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On the most significant change of teachers’ evaluation: A descriptive-narrative research by Carina Seron, Betarmos, Jr. Vicente, Melbert Hungo, Leomarich Casinillo

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Explainable AI Highlights the Most Relevant Gait Features for Neurodegenerative Disease Classification by Gianmarco Tiddia, Francesca Mainas, Alessandra Retico, Piernicola Oliva

“…In this regard, machine learning techniques and explainability methods offer an opportunity to enhance anomaly detection in gait measurements and support a more objective assessment of neurodegenerative disease, providing insights into the most relevant gait parameters used for disease identification. …”
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Low-performing students benefit mostly from Open-Book Examinations by Markus Wolfgang Hermann Spitzer, Leif Erik Langsdorf, Eileen Richter, Torsten Schubert

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“From zero to three hundred” - intensive acquisition techniques for the 300 most frequent content words in Welsh by Tess Fitzpatrick, Steve Morris

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Prediction of urinary tract infection using machine learning methods: a study for finding the most-informative variables by Sajjad Farashi, Hossein Emad Momtaz

“…In the recent decade, machine learning strategies that employ mathematical models on a dataset to extract the most informative hidden information are the center of interest for prediction and diagnosis purposes. …”
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Angus: efficient active learning strategies for provenance based intrusion detection by Lin Wu, Yulai Xie, Jin Li, Dan Feng, Jinyuan Liang, Yafeng Wu

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Making the most out of timeseries symptom data: A machine learning study on symptom predictions of internet-based CBT by Nils Hentati Isacsson, Kirsten Zantvoort, Erik Forsell, Magnus Boman, Viktor Kaldo

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Evolution over 62 years: an analysis of sexism in the lyrics of the most-listened-to songs in Spain by Laura Casanovas-Buliart, Priscila Alvarez-Cueva, Carlos Castillo

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Ceasing sampling at wastewater treatment plants where viral dynamics are most predictableMendeley Data by Mo Liu, Devan G. Becker

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What are the most difficult steps in total hip arthroplasty for early-career surgeons and how can future technology help most? A survey of the American Association of Hip and Knee... by Ken Tashiro, Yasuhiro Homma, Jesse Wolfstadt, Christopher M. Melnic, Muneaki Ishijima, Atul F. Kamath

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A Review of Cognitive Approaches in SLA: Identifying the Most Influential Factors from Key Studies by Erwan Rahman

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Shopping to Get the Most for your Money by Mary N. Harrison

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Shopping to Get the Most for your Money by Mary N. Harrison

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