Deep unsupervised clustering for prostate auto-segmentation with and without hydrogel spacer by Hengrui Zhao, Biling Wang, Michael Dohopolski, Ti Bai, Steve Jiang, Dan Nguyen

“…Machine Learning: Science and Technology…”
Get full text

Deep(er) reconstruction of imaging Cherenkov detectors with swin transformers and normalizing flow models by C Fanelli, J Giroux, J Stevens

“…Machine Learning: Science and Technology…”
Get full text

Deep-learning-based canopy height model generation from sub-meter resolution panchromatic satellite imagery by Charles J Abolt, Javier E Santos, Adam L Atchley, Lucas Wells, Daithi Martin, Russell A Parsons, Rodman R Linn

“…Machine Learning: Science and Technology…”
Get full text

Automated Tree Detection Using Image Processing and Multisource Data by Grzegorz Dziczkowski, Barbara Probierz, Przemysław Juszczuk, Piotr Stefański, Tomasz Jach, Szymon Głowania, Jan Kozak

Get full text

Gaitmap—An Open Ecosystem for IMU-Based Human Gait Analysis and Algorithm Benchmarking by Arne Kuderle, Martin Ullrich, Nils Roth, Malte Ollenschlager, Alzhraa A. Ibrahim, Hamid Moradi, Robert Richer, Ann-Kristin Seifer, Matthias Zurl, Raul C. Simpetru, Liv Herzer, Dominik Prossel, Felix Kluge, Bjoern M. Eskofier

Get full text

A Novel Speckle Noise Removal Algorithm Based on ADMM and Energy Minimization Method by Bo Chen, Yan Lv, Jinbin Zou, Wensheng Chen, Binbin Pan

Get full text

Evaluasi Kinerja MLLIB APACHE SPARK pada Klasifikasi Berita Palsu dalam Bahasa Indonesia by Antonius Angga Kurniawan, Metty Mustikasari

“… Machine learning digunakan untuk menganalisis, mengklasifikasikan, atau memprediksi data. …”
Get full text

A Clinical Data Analysis Based Diagnostic Systems for Heart Disease Prediction Using Ensemble Method by Ankit Kumar, Kamred Udham Singh, Manish Kumar

“…The correct diagnosis of heart disease can save lives, while the incorrect diagnosis can be lethal. The UCI machine learning heart disease dataset compares the results and analyses of various machine learning approaches, including deep learning. …”
Get full text

Rapid learning with phase-change memory-based in-memory computing through learning-to-learn by Thomas Ortner, Horst Petschenig, Athanasios Vasilopoulos, Roland Renner, Špela Brglez, Thomas Limbacher, Enrique Piñero, Alejandro Linares-Barranco, Angeliki Pantazi, Robert Legenstein

Get full text

Quantitative Analysis of the Main Controlling Factors of Oil Saturation Variation by Ruijie Huang, Chenji Wei, Jian Yang, Xin Xu, Baozhu Li, Suwei Wu, Lihui Xiong

“…With the high-speed development of artificial intelligence, machine learning methods have become key technologies for intelligent exploration, development, and production in oil and gas fields. …”
Get full text

On the Effectiveness of Graph Statistics of Shareholder Relation Network in Predicting Bond Default Risk by Zhiguo Huang

“…In order to test the effectiveness of the two schemes, seven machine learning methods and three types of prediction tasks are used. …”
Get full text

Prediction of Future Terrorist Activities Using Deep Neural Networks by M. Irfan Uddin, Nazir Zada, Furqan Aziz, Yousaf Saeed, Asim Zeb, Syed Atif Ali Shah, Mahmoud Ahmad Al-Khasawneh, Marwan Mahmoud

“…The performance of the DNN is compared with NN and the three machine learning algorithms, and it is demonstrated that the performance in DNN is more than 95% in terms of accuracy, precision, recall, and F1-Score, while ANN and traditional machine learning algorithms have achieved a maximum of 83% accuracy. …”
Get full text

Novel and Efficient Randomized Algorithms for Feature Selection by Zigeng Wang, Xia Xiao, Sanguthevar Rajasekaran

“…Feature selection is a crucial problem in efficient machine learning, and it also greatly contributes to the explainability of machine-driven decisions. …”
Get full text

Analisis Kinerja Intrusion Detection System Berbasis Algoritma Random Forest Menggunakan Dataset Unbalanced Honeynet BSSN by Kuni Inayah, Kalamullah Ramli

“…Hasil analisis menunjukkan bahwa pemodelan IDS based on machine learning memiliki rata-rata nilai akurasi lebih dari 90%, nilai presisi 91%, nilai recall 90%, dan F1-score 90%. …”
Get full text

Joint Distribution pada Weighted Majority Vote (WMV) untuk Peningkatan Kinerja Sentiment Analysis Tersupervisi pada Dataset Twitter by Bagus Setya Rintyarna

“…Ada dua pendekatan yang umum digunakan dalam teknik sentiment analysis yaitu pendekatan berbasis machine learning (ML) dan pendekatan berbasis sentiment lexicon (SL). …”
Get full text

Exploring small-scale optimization coupling learning approaches for enterprises’ financial health forecasts by Lin Zhu, Zhihua Zhang, M. James C. Crabbe

“…Most data-driven financial health forecasts are based on the direct use of small-scale machine learning. In this study, we proposed the idea of optimization coupling learning to improve these machine learning models in financial health forecasting. …”
Get full text

Empirical Analysis of Financial Statement Fraud of Listed Companies Based on Logistic Regression and Random Forest Algorithm by Xinchun Liu

“…In this paper, two machine learning algorithms, decision tree and random forest, are used to detect the company's financial data. …”
Get full text

Comparative Analysis of Shear Strength Prediction Models for Reinforced Concrete Slab–Column Connections by Sarmed Wahab, Nasim Shakouri Mahmoudabadi, Sarmad Waqas, Nouman Herl, Muhammad Iqbal, Khurshid Alam, Afaq Ahmad

“…This research focuses on a comprehensive comparative analysis of shear strength prediction in slab–column connections, integrating machine learning, design codes, and finite element analysis (FEA). …”
Get full text

An Alternative Method for Traffic Accident Severity Prediction: Using Deep Forests Algorithm by Jing Gan, Linheng Li, Dapeng Zhang, Ziwei Yi, Qiaojun Xiang

“…These models gradually evolved from linear to nonlinear forms and from traditional statistical regression models to current popular machine learning models. Recently, a machine learning algorithm called Deep Forests based on the decision tree ensemble has aroused widespread concern, which was proposed for the first time by a research team of Nanjing University. …”
Get full text

Enhancing Photovoltaic Module Fault Diagnosis with Unmanned Aerial Vehicles and Deep Learning-Based Image Analysis by J. Jerome Vasanth, S. Naveen Venkatesh, V. Sugumaran, Vetri Selvi Mahamuni

“…During the machine learning phase, feature selection from the extracted features was carried out using the J48 decision tree algorithm. …”
Get full text