Algorithms | Top Cited Papers Related to Machine Learning 2020–2021

“COVID-19 Outbreak Prediction with Machine Learning”
Amir Mosavi et al.
Algorithms 2020, 13(10), 249; 10.3390/a13100249

“A Grey-Box Ensemble Model Exploiting Black-Box Accuracy and White-Box Intrinsic Interpretability”
Ioannis E. Livieris et al.
Algorithms 2020, 13(1), 17; 10.3390/a13010017

“Ensemble Learning of Hybrid Acoustic Features for Speech Emotion Recognition”
Oludayo Olugbara et al.
Algorithms 2020, 13(3), 70; 10.3390/a13030070

“Ensemble Deep Learning Models for Forecasting Cryptocurrency Time-Series”
Ioannis E. Livieris et al.
Algorithms 2020, 13(5), 121; 10.3390/a13050121

“Moving Deep Learning to the Edge”
Mário P. Véstias et al.
Algorithms 2020, 13(5), 125; 10.3390/a13050125

“Ensemble Deep Learning for Multilabel Binary Classification of User-Generated Content”
Giannis Haralabopoulos et al.
Algorithms 2020, 13(4), 83; 10.3390/a13040083

“When 5G Meets Deep Learning: A Systematic Review”
Patricia Takako Endo et al.
Algorithms 2020, 13(9), 208; 10.3390/a13090208

“Detection and Monitoring of Bottom-Up Cracks in Road Pavement Using a Machine-Learning Approach”
Vitalii Naumov et al.
Algorithms 2020, 13(4), 81; 10.3390/a13040081

“Short Communication: Detecting Heavy Goods Vehicles in Rest Areas in Winter Conditions Using YOLOv5”
Margrit Kasper-Eulaers et al.
Algorithms 2021, 14(4), 114; 10.3390/a14040114

“Typhoon Intensity Forecasting Based on LSTM Using the Rolling Forecast Method”
Bin Mu et al.
Algorithms 2021, 14(3), 83; 10.3390/a14030083