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Machine learning algorithms

Detection of child depression using machine learning methods

Umme Marzia Haque, Enamul Kabir, Rasheda Khanam

Acoustic emission corrosion feature extraction and severity prediction using hybrid wavelet packet transform and linear support vector classifier

Zazilah May, M. K. Alam, [ ... ], Muhammad Shazwan Mahmud

Assessing the reliability of automatic sentiment analysis tools on rating the sentiment of reviews of NHS dental practices in England

Matthew Byrne, Lucy O’Malley, [ ... ], Martin Tickle

Hybrid pointer networks for traveling salesman problems optimization

Ahmed Stohy, Heba-Tullah Abdelhakam, [ ... ], Andry Rakotonirainy

Examining potential gender bias in automated-job alerts in the Spanish market

Naroa Martínez, Aranzazu Vinas, Helena Matute

Investigation of ANN architecture for predicting the compressive strength of concrete containing GGBFS

Van Quan Tran, Hai-Van Thi Mai, Thuy-Anh Nguyen, Hai-Bang Ly

A novel state space reduction algorithm for team formation in social networks

Muhammad Zubair Rehman, Kamal Z. Zamli, [ ... ], Nazri Mohd. Nawi

Improved performance and consistency of deep learning 3D liver segmentation with heterogeneous cancer stages in magnetic resonance imaging

Moritz Gross, Michael Spektor, [ ... ], John A. Onofrey

Markovian city-scale modelling and mitigation of micro-particles from tires

Gunda Singer, Roman Overko, [ ... ], Robert Shorten

Optimizing ECG to detect echocardiographic left ventricular hypertrophy with computer-based ECG data and machine learning

Fernando De la Garza Salazar, Maria Elena Romero Ibarguengoitia, José Ramón Azpiri López, Arnulfo González Cantú

Machine learning analysis of volatolomic profiles in breath can identify non-invasive biomarkers of liver disease: A pilot study

Jonathan N. Thomas, Joanna Roopkumar, Tushar Patel

Deep learning algorithm in detecting intracranial hemorrhages on emergency computed tomographies

Almut Kundisch, Alexander Hönning, [ ... ], Leonie Goelz

Using an artificial neural network to develop an optimal model of straight punch in boxing and training in punch techniques based on this model and real-time feedback

Ilshat Khasanshin, Aleksey Osipov

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