Most Cited & Viewed

Most Cited & Viewed Papers

Citations Article
A Dataset of Scalp EEG Recordings of Alzheimer’s Disease, Frontotemporal Dementia and Healthy Subjects from Routine EEG
by Andreas Miltiadous, Katerina D. Tzimourta, Theodora Afrantou, Panagiotis Ioannidis, Nikolaos Grigoriadis, Dimitrios G. Tsalikakis, Pantelis Angelidis, Markos G. Tsipouras, Euripidis Glavas, Nikolaos Giannakeas and Alexandros T. Tzallas
 
Digital Twins: A Systematic Literature Review Based on Data Analysis and Topic Modeling
by Kuzma Kukushkin, Yury Ryabov and Alexey Borovkov
 
Predicting Student Dropout and Academic Success
by Valentim Realinho, Jorge Machado, Luís Baptista and Mónica V. Martins
 
Explainable Machine Learning for Financial Distress Prediction: Evidence from Vietnam
by Kim Long Tran, Hoang Anh Le, Thanh Hien Nguyen and Duc Trung Nguyen
 
Accuracy Assessment of Machine Learning Algorithms Used to Predict Breast Cancer
by Mohamed Ebrahim, Ahmed Ahmed Hesham Sedky and Saleh Mesbah
 
A Tumour and Liver Automatic Segmentation (ATLAS) Dataset on Contrast-Enhanced Magnetic Resonance Imaging for Hepatocellular Carcinoma
by Félix Quinton, Romain Popoff, Benoît Presles, Sarah Leclerc, Fabrice Meriaudeau, Guillaume Nodari, Olivier Lopez, Julie Pellegrinelli, Olivier Chevallier, Dominique Ginhac, Jean-Marc Vrigneaud and Jean-Louis Alberini
 
Retinal Fundus Multi-Disease Image Dataset (RFMiD) 2.0: A Dataset of Frequently and Rarely Identified Diseases
by Sachin Panchal, Ankita Naik, Manesh Kokare, Samiksha Pachade, Rushikesh Naigaonkar, Prerana Phadnis and Archana Bhange
 
Cryptocurrency Price Prediction with Convolutional Neural Network and Stacked Gated Recurrent Unit
by Chuen Yik Kang, Chin Poo Lee and Kian Ming Lim
 
Data Balancing Techniques for Predicting Student Dropout Using Machine Learning
by Neema Mduma
 
Machine Learning for Credit Risk Prediction: A Systematic Literature Review
by Jomark Pablo Noriega, Luis Antonio Rivera and José Alfredo Herrera
Views Article
Predicting Student Dropout and Academic Success
by Valentim Realinho, Jorge Machado, Luís Baptista and Mónica V. Martins
A Dataset of Scalp EEG Recordings of Alzheimer’s Disease, Frontotemporal Dementia and Healthy Subjects from Routine EEG
by Andreas Miltiadous, Katerina D. Tzimourta, Theodora Afrantou, Panagiotis Ioannidis, Nikolaos Grigoriadis, Dimitrios G. Tsalikakis, Pantelis Angelidis, Markos G. Tsipouras, Euripidis Glavas, Nikolaos Giannakeas and Alexandros T. Tzallas
Machine Learning for Credit Risk Prediction: A Systematic Literature Review
by Jomark Pablo Noriega, Luis Antonio Rivera and José Alfredo Herrera
Cryptocurrency Price Prediction with Convolutional Neural Network and Stacked Gated Recurrent Unit
by Chuen Yik Kang, Chin Poo Lee and Kian Ming Lim
Digital Twins: A Systematic Literature Review Based on Data Analysis and Topic Modeling
by Kuzma Kukushkin, Yury Ryabov and Alexey Borovkov
A Dataset for the Vietnamese Banking System (2002–2021)
by Tu D. Q. Le, Tin H. Ho, Thanh Ngo, Dat T. Nguyen and Son H. Tran
Retinal Fundus Multi-Disease Image Dataset (RFMiD) 2.0: A Dataset of Frequently and Rarely Identified Diseases
by Sachin Panchal, Ankita Naik, Manesh Kokare, Samiksha Pachade, Rushikesh Naigaonkar, Prerana Phadnis and Archana Bhange
Understanding Data Breach from a Global Perspective: Incident Visualization and Data Protection Law Review
by Gabriel Arquelau Pimenta Rodrigues, André Luiz Marques Serrano, Amanda Nunes Lopes Espiñeira Lemos, Edna Dias Canedo, Fábio Lúcio Lopes de Mendonça, Robson de Oliveira Albuquerque, Ana Lucila Sandoval Orozco and Luis Javier García Villalba
Data Warehousing Process Modeling from Classical Approaches to New Trends: Main Features and Comparisons
by Asma Dhaouadi, Khadija Bousselmi, Mohamed Mohsen Gammoudi, Sébastien Monnet and Slimane Hammoudi
Advances in Contextual Action Recognition: Automatic Cheating Detection Using Machine Learning Techniques
by Fairouz Hussein, Ayat Al-Ahmad, Subhieh El-Salhi, Esra’a Alshdaifat and Mo’taz Al-Hami
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Predicting Student Dropout and Academic Success
by Valentim Realinho, Jorge Machado, Luís Baptista and Mónica V. Martins
A Dataset of Scalp EEG Recordings of Alzheimer’s Disease, Frontotemporal Dementia and Healthy Subjects from Routine EEG
by Andreas Miltiadous, Katerina D. Tzimourta, Theodora Afrantou, Panagiotis Ioannidis, Nikolaos Grigoriadis, Dimitrios G. Tsalikakis, Pantelis Angelidis, Markos G. Tsipouras, Euripidis Glavas, Nikolaos Giannakeas and Alexandros T. Tzallas
A Dataset for the Vietnamese Banking System (2002–2021)
by Tu D. Q. Le, Tin H. Ho, Thanh Ngo, Dat T. Nguyen and Son H. Tran
Data Warehousing Process Modeling from Classical Approaches to New Trends: Main Features and Comparisons
by Asma Dhaouadi, Khadija Bousselmi, Mohamed Mohsen Gammoudi, Sébastien Monnet and Slimane Hammoudi
Machine Learning for Credit Risk Prediction: A Systematic Literature Review
by Jomark Pablo Noriega, Luis Antonio Rivera and José Alfredo Herrera
Cryptocurrency Price Prediction with Convolutional Neural Network and Stacked Gated Recurrent Unit
by Chuen Yik Kang, Chin Poo Lee and Kian Ming Lim
Digital Twins: A Systematic Literature Review Based on Data Analysis and Topic Modeling
by Kuzma Kukushkin, Yury Ryabov and Alexey Borovkov
Knowledge Discovery and Dataset for the Improvement of Digital Literacy Skills in Undergraduate Students
by Pongpon Nilaphruek and Pattama Charoenporn
Explainable Machine Learning for Financial Distress Prediction: Evidence from Vietnam
by Kim Long Tran, Hoang Anh Le, Thanh Hien Nguyen and Duc Trung Nguyen
Density-Based Unsupervised Learning Algorithm to Categorize College Students into Dropout Risk Levels
by Miguel Angel Valles-Coral, Luis Salazar-Ramírez, Richard Injante, Edwin Augusto Hernandez-Torres, Juan Juárez-Díaz, Jorge Raul Navarro-Cabrera, Lloy Pinedo and Pierre Vidaurre-Rojas
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