Climate-Aware Machine Learning for Above-Ground Biomass Estimation by Aske Meineche

“…This study explores the role of data science, machine learning, and artificial intelligence in addressing environmental challenges, specifically focusing on the estimation of Above-Ground Biomass (AGBM) using satellite imagery. …”
Get full text

Performance Analysis of Diabetes Detection Using Machine Learning Classifiers by Hung Huynh, Liu Hui, Ngoc Han Nguyen, Ruixuan Qiao

Subjects: “…diabetes prediction and diagnosis, machine learning, classifiers, algorithms.…”
Get full text

Machine learning mathematical models for incidence estimation during pandemics. by Oscar Fajardo-Fontiveros, Mattia Mattei, Giulio Burgio, Clara Granell, Sergio Gómez, Alex Arenas, Marta Sales-Pardo, Roger Guimerà

“…Here, we propose a machine learning approach to estimate the incidence of a pandemic in real-time, using reported cases and the overall test rate. …”
Get full text

Machine learning-based authentication of banknotes: a comprehensive analysis by Nadia Ghasem Abadi

Subjects: Get full text

Multimodal Pain Recognition in Postoperative Patients: Machine Learning Approach by Ajan Subramanian, Rui Cao, Emad Kasaeyan Naeini, Seyed Amir Hossein Aqajari, Thomas D Hughes, Michael-David Calderon, Kai Zheng, Nikil Dutt, Pasi Liljeberg, Sanna Salanterä, Ariana M Nelson, Amir M Rahmani

“…ConclusionsThis study presents a novel, multimodal machine learning framework for objective pain recognition in postoperative patients. …”
Get full text

Machine Learning Optimization and Challenges in Used Car Price Prediction by Zheng Yufan

“…The paper initially reviews existing machine learning models and their performance in predicting luxury car prices, emphasizing both their strengths and limitations. …”
Get full text

Literature Review of Machine Learning and Threat Intelligence in Cloud Security by Rrezearta Thaqi, Bujar Krasniqi, Artan Mazrekaj, Blerim Rexha

Subjects: Get full text

Social exclusion as a side effect of machine learning mechanisms by A. G. Tertyshnikova, U. O. Pavlova, M. V. Cimbal

Get full text

Privacy Auditing in Differential Private Machine Learning: The Current Trends by Ivars Namatevs, Kaspars Sudars, Arturs Nikulins, Kaspars Ozols

Subjects: “…differential private machine learning…”
Get full text

Cryptocurrency Financial Risk Analysis Based on Deep Machine Learning by Si Chen

Get full text

Prediction Interval of Interface Regions: Machine Learning Nowcasting Approach by Khaled Alielden, Enrico Camporeale, Marianna B. Korsós, Youra Taroyan

Get full text

Eight quick tips for biologically and medically informed machine learning. by Luca Oneto, Davide Chicco

“…This integration has give rise to informed machine learning, in contrast to studies that lack domain knowledge and treat all variables equally (uninformed machine learning). …”
Get full text

Opening the Black Box of the Radiation Belt Machine Learning Model by Donglai Ma, Jacob Bortnik, Xiangning Chu, Seth G. Claudepierre, Qianli Ma, Adam Kellerman

“…Abstract Many Machine Learning (ML) systems, especially deep neural networks, are fundamentally regarded as black boxes since it is difficult to fully grasp how they function once they have been trained. …”
Get full text

Exploiting the similarity of dissimilarities for biomedical applications and enhanced machine learning. by Mohammad Neamul Kabir, Li Rong Wang, Wilson Wen Bin Goh

“…The "similarity of dissimilarities" is an emerging paradigm in biomedical science with significant implications for protein function prediction, machine learning (ML), and personalized medicine. In protein function prediction, recognizing dissimilarities alongside similarities provides a more detailed understanding of evolutionary processes, allowing for a deeper exploration of regions that influence biological functionality. …”
Get full text

Federated Learning: A Distributed Shared Machine Learning Method by Kai Hu, Yaogen Li, Min Xia, Jiasheng Wu, Meixia Lu, Shuai Zhang, Liguo Weng

“…Federated learning (FL) is a distributed machine learning (ML) framework. In FL, multiple clients collaborate to solve traditional distributed ML problems under the coordination of the central server without sharing their local private data with others. …”
Get full text

Accelerating spin Hall conductivity predictions via machine learning by Jinbin Zhao, Junwen Lai, Jiantao Wang, Yi‐Chi Zhang, Junlin Li, Xing‐Qiu Chen, Peitao Liu

Subjects: Get full text

PCA-based membership inference attack for machine learning models by Changgen PENG, Ting GAO, Huilan LIU, Hongfa DING

Subjects: “…machine learning…”
Get full text

Machine learning and multi-omics in precision medicine for ME/CFS by Katherine Huang, Brett A. Lidbury, Natalie Thomas, Paul R. Gooley, Christopher W. Armstrong

Subjects: Get full text

Evolution of machine learning in financial risk management: A survey by Lu Kuan-I

“…This paper contributes to the field in three key dimensions: First, we provide a clear taxonomy of risks and an introduction to relevant machine learning methods to establish a foundation and identify the targeted issues. …”
Get full text

From Data to Decisions: The Power of Machine Learning in Business Recommendations by Kapilya Gangadharan, Anoop Purandaran, K. Malathi, Barathi Subramanian, Rathinaraja Jeyaraj, Soon Ki Jung

Subjects: Get full text