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
 
Populating the Data Space for Cultural Heritage with Heritage Digital Twins
by Franco Niccolucci, Achille Felicetti and Sorin Hermon
 
A Deep Learning Framework for Detection of COVID-19 Fake News on Social Media Platforms
by Yahya Tashtoush, Balqis Alrababah, Omar Darwish, Majdi Maabreh and Nasser Alsaedi
 
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
 
Cryptocurrency Price Prediction with Convolutional Neural Network and Stacked Gated Recurrent Unit
by Chuen Yik Kang, Chin Poo Lee and Kian Ming Lim
 
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
Views Article
Predicting Student Dropout and Academic Success
by Valentim Realinho, Jorge Machado, Luís Baptista and Mónica V. Martins
Machine Learning for Credit Risk Prediction: A Systematic Literature Review
by Jomark Pablo Noriega, Luis Antonio Rivera and José Alfredo Herrera
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
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
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
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
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
Populating the Data Space for Cultural Heritage with Heritage Digital Twins
by Franco Niccolucci, Achille Felicetti and Sorin Hermon
Downloads 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
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
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
Machine Learning for Credit Risk Prediction: A Systematic Literature Review
by Jomark Pablo Noriega, Luis Antonio Rivera and José Alfredo Herrera
A Systematic Review of Deep Knowledge Graph-Based Recommender Systems, with Focus on Explainable Embeddings
by Ronky Francis Doh, Conghua Zhou, John Kingsley Arthur, Isaac Tawiah and Benjamin Doh
An Ensemble Model for Predicting Retail Banking Churn in the Youth Segment of Customers
by Vijayakumar Bharathi S, Dhanya Pramod and Ramakrishnan Raman
A Deep Learning Framework for Detection of COVID-19 Fake News on Social Media Platforms
by Yahya Tashtoush, Balqis Alrababah, Omar Darwish, Majdi Maabreh and Nasser Alsaedi
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