Most Cited & Viewed

Most Cited & Viewed Papers

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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 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
 
Accuracy Assessment of Machine Learning Algorithms Used to Predict Breast Cancer
by Mohamed Ebrahim, Ahmed Ahmed Hesham Sedky and Saleh Mesbah
 
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
 
Machine Learning for Credit Risk Prediction: A Systematic Literature Review
by Jomark Pablo Noriega, Luis Antonio Rivera and José Alfredo Herrera
 
Data Balancing Techniques for Predicting Student Dropout Using Machine Learning
by Neema Mduma
 
LoRaWAN Path Loss Measurements in an Urban Scenario including Environmental Effects
by Mauricio González-Palacio, Diana Tobón-Vallejo, Lina M. Sepúlveda-Cano, Santiago Rúa, Giovanni Pau and Long Bao Le
 
Federated Learning for Data Analytics in Education
by Christian Fachola, Agustín Tornaría, Paola Bermolen, Germán Capdehourat, Lorena Etcheverry and María Inés Fariello
 
Using Landsat-5 for Accurate Historical LULC Classification: A Comparison of Machine Learning Models
by Denis Krivoguz, Sergei G. Chernyi, Elena Zinchenko, Artem Silkin and Anton Zinchenko
 
Introducing UWF-ZeekData22: A Comprehensive Network Traffic Dataset Based on the MITRE ATT&CK Framework
by Sikha S. Bagui, Dustin Mink, Subhash C. Bagui, Tirthankar Ghosh, Russel Plenkers, Tom McElroy, Stephan Dulaney and Sajida Shabanali
Views 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
Machine Learning for Credit Risk Prediction: A Systematic Literature Review
by Jomark Pablo Noriega, Luis Antonio Rivera and José Alfredo Herrera
Towards a Taxonomy Machine: A Training Set of 5.6 Million Arthropod Images
by Dirk Steinke, Sujeevan Ratnasingham, Jireh Agda, Hamzah Ait Boutou, Isaiah C. H. Box, Mary Boyle, Dean Chan, Corey Feng, Scott C. Lowe, Jaclyn T. A. McKeown, Joschka McLeod, Alan Sanchez, Ian Smith, Spencer Walker, Catherine Y.-Y. Wei and Paul D. N. Hebert
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
Sentiment Matters for Cryptocurrencies: Evidence from Tweets
by Radu Lupu and Paul Cristian Donoiu
Luxury Car Data Analysis: A Literature Review
by Pegah Barakati, Flavio Bertini, Emanuele Corsi, Maurizio Gabbrielli and Danilo Montesi
MN-DS: A Multilabeled News Dataset for News Articles Hierarchical Classification
by Alina Petukhova and Nuno Fachada
Beyond the Classroom: An Analysis of Internal and External Factors Related to Students’ Love of Learning and Educational Outcomes
by Charles M. Burke, Lori P. Montross and Vera G. Dianova
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
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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
Knowledge Discovery and Dataset for the Improvement of Digital Literacy Skills in Undergraduate Students
by Pongpon Nilaphruek and Pattama Charoenporn
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
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
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
Data Balancing Techniques for Predicting Student Dropout Using Machine Learning
by Neema Mduma
Accuracy Assessment of Machine Learning Algorithms Used to Predict Breast Cancer
by Mohamed Ebrahim, Ahmed Ahmed Hesham Sedky and Saleh Mesbah
Introducing UWF-ZeekData22: A Comprehensive Network Traffic Dataset Based on the MITRE ATT&CK Framework
by Sikha S. Bagui, Dustin Mink, Subhash C. Bagui, Tirthankar Ghosh, Russel Plenkers, Tom McElroy, Stephan Dulaney and Sajida Shabanali
Luxury Car Data Analysis: A Literature Review
by Pegah Barakati, Flavio Bertini, Emanuele Corsi, Maurizio Gabbrielli and Danilo Montesi
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