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16 papers · ranked by Valyu relevance

01
PPubMed10 Apr 2022
Preference-Driven Classification Measure
Jan Kozak, Barbara Probierz, Krzysztof Kania, Przemysław Juszczuk + 1 more
Classification is one of the main problems of machine learning, and assessing the quality of classification is one of the most topical tasks, all the more difficult as it depends on many factors. Many different measures have been proposed to assess the quality of the classification, often depending on the application…
81relevance
02
PPubMed17 Jul 2023
Using machine learning-based binary classifiers for predicting organizational members’ user satisfaction with collaboration software
Yituo Feng, Jungryeol Park, Varun Gupta
Background In today’s digital economy, enterprises are adopting collaboration software to facilitate digital transformation. However, if employees are not satisfied with the collaboration software, it can hinder enterprises from achieving the expected benefits. Although existing literature has contributed to user…
80relevance
03
PPubMed13 Nov 2021
Learning to Classify DWDM Optical Channels from Tiny and Imbalanced Data
Paweł Cichosz, Stanisław Kozdrowski, Sławomir Sujecki, Jan Kozak + 1 more
'Przemysław Juszczuk'] Applying machine learning algorithms for assessing the transmission quality in optical networks is associated with substantial challenges. Datasets that could provide training instances tend to be small and heavily imbalanced. This requires applying imbalanced compensation techniques when using…
79relevance
04
PPubMed15 Mar 2024
Comparison of Machine Learning Algorithms for Heartbeat Detection Based on Accelerometric Signals Produced by a Smart Bed
Minh Long Hoang, Guido Matrella, Paolo Ciampolini, Georg Fischer
This work aims to compare the performance of Machine Learning (ML) and Deep Learning (DL) algorithms in detecting users’ heartbeats on a smart bed. Targeting non-intrusive, continuous heart monitoring during sleep time, the smart bed is equipped with a 3D solid-state accelerometer. Acceleration signals are processed…
75relevance
05
PPubMed10 Jul 2025
The Use of Selected Machine Learning Methods in Dairy Cattle Farming: A Review
Wilhelm Grzesiak, Daniel Zaborski, Marcin Pluciński, Magdalena Jędrzejczak-Silicka + 3 more
'Magdalena Jędrzejczak-Silicka' 'Renata Pilarczyk' 'Piotr Sablik' 'Andrea Pezzuolo'] Title: Simple Summary The current trend in animal husbandry, including cattle farming, is toward increasing stocking density and automating individual activities in animal care. Various electro-optical, acoustic, mechanical, and…
74relevance
06
PPubMed26 Feb 2024
A distance-based kernel for classification via Support Vector Machines
Nazhir Amaya-Tejera, Margarita Gamarra, Jorge I. Vélez, Eduardo Zurek
Support Vector Machines (SVMs) are a type of supervised machine learning algorithm widely used for classification tasks. In contrast to traditional methods that split the data into separate training and testing sets, here we propose an innovative approach where subsets of the original data are randomly selected to…
72relevance
07
PPubMed24 Dec 2024
Taba Binary, Multinomial, and Ordinal Regression Models: New Machine Learning Methods for Classification
Mohammad Tabatabai, Derek Wilus, Chau-Kuang Chen, Karan P. Singh + 3 more
'Tim L. Wallace' 'Kwang Woo Ahn' 'Yunfeng Wu'] The classification methods of machine learning have been widely used in almost every discipline. A new classification method, called Taba regression, was introduced for analyzing binary, multinomial, and ordinal outcomes. To evaluate the performance of Taba regression…
69relevance
08
PPubMed7 Sep 2024
A Predictive Model for Benchmarking the Performance of Algorithms for Fake and Counterfeit News Classification in Global Networks
Nureni Ayofe Azeez, Sanjay Misra, Davidson Onyinye Ogaraku, Ademola Philip Abidoye + 2 more
The pervasive spread of fake news in online social media has emerged as a critical threat to societal integrity and democratic processes. To address this pressing issue, this research harnesses the power of supervised AI algorithms aimed at classifying fake news with selected algorithms. Algorithms such as Passive…
67relevance
09
PPubMed19 Jan 2022
Object Selection as a Biometric
Joyce Tlhoolebe, Bin Dai, Carlos M. Travieso-González
The use of eye movement as a biometric is a new biometric technology that is now in competition with many other technologies such as the fingerprint, face recognition, ear recognition and many others. Problems encountered with these authentication methods such as passwords and tokens have led to the emergence of…
67relevance
10
PPubMed11 Dec 2025
Medical pattern classification using a novel binary similarity approach based on an associative classifier
Osvaldo Velazquez-Gonzalez, Antonio Alarcón-Paredes, Cornelio Yañez-Marquez
Classification is a central task in machine learning, underpinning applications in domains such as finance, medicine, engineering, information technology, and biology. However, machine learning pattern classification can become a complex or even inexplicable task for current robust models due to the complexity of…
65relevance
11
PPubMed31 Oct 2023
Revolutionizing Diabetes Diagnosis: Machine Learning Techniques Unleashed
Zain Shaukat, Wisal Zafar, Waqas Ahmad, Ihtisham Ul Haq + 7 more
'Ghassan Husnain' 'Mosleh Hmoud Al-Adhaileh' 'Yazeed Yasin Ghadi' 'Abdulmohsen Algarni' 'Wazir Muhammad' 'Gen-Min Lin' 'Adnan Muhammad Shah'] The intricate and multifaceted nature of diabetes disrupts the body’s crucial glucose processing mechanism, which serves as a fundamental energy source for the cells. This…
64relevance
12
PPubMed22 Jun 2022
A Combined Approach for Multi-Label Text Data Classification
Rokas Štrimaitis, Pavel Stefanovič, Simona Ramanauskaitė, Asta Slotkienė
'Asta Slotkienė'] Automated data analysis solutions are very dependent on data and its quality. The possibility of assigning more than one class to the same data item is one of the specificities that need to be taken into account. There are no solutions, dedicated to Lithuanian text data classification that helps to…
63relevance
13
PPubMed4 May 2022
Improving the Accuracy of Ensemble Machine Learning Classification Models Using a Novel Bit-Fusion Algorithm for Healthcare AI Systems
Sashikala Mishra, Kailash Shaw, Debahuti Mishra, Shruti Patil + 3 more
Healthcare AI systems exclusively employ classification models for disease detection. However, with the recent research advances into this arena, it has been observed that single classification models have achieved limited accuracy in some cases. Employing fusion of multiple classifiers outputs into a single…
62relevance
14
PPubMed14 Feb 2023
Common statistical concepts in the supervised Machine Learning arena
Hooman H. Rashidi, Samer Albahra, Scott Robertson, Nam K. Tran + 1 more
'Bo Hu'] One of the core elements of Machine Learning (ML) is statistics and its embedded foundational rules and without its appropriate integration, ML as we know would not exist. Various aspects of ML platforms are based on statistical rules and most notably the end results of the ML model performance cannot be…
62relevance
15
PPubMed10 May 2024
Classification performance assessment for imbalanced multiclass data
Jesús S. Aguilar-Ruiz, Marcin Michalak
The evaluation of diagnostic systems is pivotal for ensuring the deployment of high-quality solutions, especially given the pronounced context-sensitivity of certain systems, particularly in fields such as biomedicine. Of notable importance are predictive models where the target variable can encompass multiple values…
61relevance
16
PPubMed26 Jun 2023
Diabetes Detection Models in Mexican Patients by Combining Machine Learning Algorithms and Feature Selection Techniques for Clinical and Paraclinical Attributes: A Comparative Evaluation
Antonio García-Domínguez, Carlos E. Galván-Tejada, Rafael Magallanes-Quintanar, Hamurabi Gamboa-Rosales + 3 more
'Rafael Magallanes-Quintanar' 'Hamurabi Gamboa-Rosales' 'Irma González Curiel' 'Jesús Peralta-Romero' 'Miguel Cruz'] The development of medical diagnostic models to support healthcare professionals has witnessed remarkable growth in recent years. Among the prevalent health conditions affecting the global population…
56relevance

Results for binary classification

Preference-Driven Classification Measure

Using machine learning-based binary classifiers for predicting organizational members’ user satisfaction with collaboration software

Learning to Classify DWDM Optical Channels from Tiny and Imbalanced Data

Comparison of Machine Learning Algorithms for Heartbeat Detection Based on Accelerometric Signals Produced by a Smart Bed

The Use of Selected Machine Learning Methods in Dairy Cattle Farming: A Review

A distance-based kernel for classification via Support Vector Machines

Taba Binary, Multinomial, and Ordinal Regression Models: New Machine Learning Methods for Classification

A Predictive Model for Benchmarking the Performance of Algorithms for Fake and Counterfeit News Classification in Global Networks

Object Selection as a Biometric

Medical pattern classification using a novel binary similarity approach based on an associative classifier

Revolutionizing Diabetes Diagnosis: Machine Learning Techniques Unleashed

A Combined Approach for Multi-Label Text Data Classification

Improving the Accuracy of Ensemble Machine Learning Classification Models Using a Novel Bit-Fusion Algorithm for Healthcare AI Systems

Common statistical concepts in the supervised Machine Learning arena

Classification performance assessment for imbalanced multiclass data

Diabetes Detection Models in Mexican Patients by Combining Machine Learning Algorithms and Feature Selection Techniques for Clinical and Paraclinical Attributes: A Comparative Evaluation

Preference-Driven Classification Measure

Using machine learning-based binary classifiers for predicting organizational members’ user satisfaction with collaboration software

Learning to Classify DWDM Optical Channels from Tiny and Imbalanced Data

Comparison of Machine Learning Algorithms for Heartbeat Detection Based on Accelerometric Signals Produced by a Smart Bed

The Use of Selected Machine Learning Methods in Dairy Cattle Farming: A Review

A distance-based kernel for classification via Support Vector Machines

Taba Binary, Multinomial, and Ordinal Regression Models: New Machine Learning Methods for Classification

A Predictive Model for Benchmarking the Performance of Algorithms for Fake and Counterfeit News Classification in Global Networks

Object Selection as a Biometric

Medical pattern classification using a novel binary similarity approach based on an associative classifier

Revolutionizing Diabetes Diagnosis: Machine Learning Techniques Unleashed

A Combined Approach for Multi-Label Text Data Classification

Improving the Accuracy of Ensemble Machine Learning Classification Models Using a Novel Bit-Fusion Algorithm for Healthcare AI Systems

Common statistical concepts in the supervised Machine Learning arena

Classification performance assessment for imbalanced multiclass data

Diabetes Detection Models in Mexican Patients by Combining Machine Learning Algorithms and Feature Selection Techniques for Clinical and Paraclinical Attributes: A Comparative Evaluation