IQGO: Iterative Quantum Gate Optimiser for Quantum Data Embedding by Tautvydas Lisas, Ruairi de Frein

Subjects: “…variational quantum classifiers…”
Get full text

Efficient feature selection based on Gower distance for breast cancer diagnosis by Salwa Shakir Baawi, Mustafa Noaman Kadhim, Dhiah Al-Shammary

Subjects: Get full text

Improving Sleep Disorder Diagnosis Through Optimized Machine Learning Approaches by Md. Atiqur Rahman, Israt Jahan, Maheen Islam, Taskeed Jabid, Md Sawkat Ali, Mohammad Rifat Ahmmad Rashid, Mohammad Manzurul Islam, Md. Hasanul Ferdaus, Md Mostofa Kamal Rasel, Mahmuda Rawnak Jahan, Shayla Sharmin, Tanzina Afroz Rimi, Atia Sanjida Talukder, Md. Mafiul Hasan Matin, M. Ameer Ali

Subjects: Get full text

Enhancing Ground Penetrating Radar (GPR) Data Analysis Utilizing Machine Learning by Mohanad Shehab, Musab T.S. Al-Kaltakchi, Ammar Dukhan, Wai Lok Woo

Subjects: Get full text

Assessment of binary prediction of fraudulent advertisements in ATS candidate tracking cloud systems by V. V. Ligi-Goryaev, G. A. Mankaeva, T. B. Goldvarg, S. S. Muchkaeva, V. V. Dzhakhnaev

Subjects: Get full text

Machine Learning in Sensory Analysis of Mead—A Case Study: Ensembles of Classifiers by Krzysztof Przybył, Daria Cicha-Wojciechowicz, Natalia Drabińska, Małgorzata Anna Majcher

Subjects: Get full text

Advancing Knowledge on Machine Learning Algorithms for Predicting Childhood Vaccination Defaulters in Ghana: A Comparative Performance Analysis by Eliezer Ofori Odei-Lartey, Stephaney Gyaase, Dominic Asamoah, Thomas Gyan, Kwaku Poku Asante, Michael Asante

Subjects: Get full text

Ensembling Classical Machine Learning and Deep Learning Approaches for Morbidity Identification From Clinical Notes by Vivek Kumar, Diego Reforgiato Recupero, Daniele Riboni, Rim Helaoui

Subjects: Get full text

Land cover classification for Siberia leveraging diverse global land cover datasets by Munseon Beak, Kazuhito Ichii, Yuhei Yamamoto, Ruci Wang, Beichen Zhang, Ram C. Sharma, Tetsuya Hiyama

Subjects: Get full text

Efficient combination of deep learning and tree-based classification models for solar panel dust detection by Jad Bassil, Hassan N. Noura, Ola Salman, Khaled Chahine, Mohsen Guizani

Subjects: Get full text

Formal and functional factors in classifier choice: Evidence from American Sign Language and Danish Sign Language by Engberg-Pedersen Elisabeth, Brentari Diane K., Davis Jeffery

Subjects: “…classifiers…”
Get full text

Classification Algorithms for Early Tooth Demineralization Assessment by Impedance Spectroscopy by Isabella Sannino, Luca Lombardo, Leila Es Sebar, Marco Parvis, Allegra Comba, Nicola Scotti, Emma Angelini, Leonardo Iannucci, Tolou Shokuhfar, Sabrina Grassini

Subjects: Get full text

Editorial: Artificial intelligence: cultural policy, management, education, and research by O. Murphy, M. Franklin

Subjects: Get full text

Feature selection based on Mahalanobis distance for early Parkinson disease classification by Mustafa Noaman Kadhim, Dhiah Al-Shammary, Ahmed M. Mahdi, Ayman Ibaida

Subjects: Get full text

Pixel-Based Change Detection in Moving-Camera Videos Using Twin Convolutional Features on a Data-Constrained Scenario by Luiz G. C. Tavares, Allan F. Da Silva, Rafael Padilla, Lucas A. Thomaz, Sergio L. Netto, Eduardo A. B. Da Silva

Subjects: Get full text

Echoes From the Void: Detecting DNS Tunneling With Blackhole Features in Encrypted Scenarios With High Accuracy by Wafa S. Alorainy

Subjects: Get full text

A Deep Learning Framework for Healthy Lifestyle Monitoring and Outdoor Localization by Mehrab Rafiq, Naif S. Alshammari, Haifa F. Alhasson, Dina Abdulaziz Alhammadi, Mohammed Alshehri, Ahmad Jalal, Hui Liu

Subjects: Get full text

Using Visualization to Evaluate the Performance of Algorithms for Multivariate Time Series Classification by Edgar Acuña, Roxana Aparicio

Subjects: Get full text

Classification of Drivers with HIV-Associated Neurocognitive Disorders using Virtual Driving Test Performance Data by David Grethlein, Venk Kandadai, Will Dampier

Subjects: Get full text

Machine Learning Approaches for Fault Detection in Internal Combustion Engines: A Review and Experimental Investigation by A. Srinivaas, N. R. Sakthivel, Binoy B. Nair

Subjects: Get full text