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ORCIDIDSTA 2020, Valencia, Spain (Online Event)
- International Conference on Intelligent Data Science Technologies and Applications, IDSTA 2020, Valencia, Spain (Online Event), October 19-22, 2020. IEEE 2020, ISBN 978-1-7281-8376-3
- Bhavani Thuraisingham:
Keynote Speech 1: Integrating Big Data, Data Science and Cyber Security with Applications in Internet of Transportation and Infrastructures. 1-2 - Khan Muhammad:
Keynote Speech 2: Intelligent Video Summary Generation: Current Challenges and Future Directions. 1 - Friedemann Schwenkreis
:
Why the Concept of Shopping Baskets helps to analyze Team-Handball. 4-10 - Salma El Hajjami, Jamal Malki, Alain Bouju, Mohammed Berrada:
A Machine Learning based Approach to Reduce Behavioral Noise Problem in an Imbalanced Data: Application to a fraud detection. 11-20 - Mandira Hegde, Gilles Kepnang, Mashail Al Mazroei, Jeffrey S. Chavis, Lanier A. Watkins:
Identification of Botnet Activity in IoT Network Traffic Using Machine Learning. 21-27 - Jaegyeong Cha, Seokju Oh, Donghyun Kim, Jongpil Jeong:
A Defect Detection Model for Imbalanced Wafer Image Data Using CAE and Xception. 28-33 - Nirvan Sharma, Patrick Hosein:
A Comparison of Data-Driven and Traditional Approaches to Employee Performance Assessment. 34-41 - Riccardo Orizio, Satyanarayana Vuppala, Stylianos Basagiannis, Gregory M. Provan:
Towards an Explainable Approach for Insider Threat Detection: Constraint Network Learning. 42-49 - Othman Istaiteh, Tala Owais, Nailah Al-Madi, Saleh Abu-Soud:
Machine Learning Approaches for COVID-19 Forecasting. 50-57 - Eman Al Nagi, Nailah Al-Madi:
Predicting Students Performance in Online Courses using Classification Techniques. 58-65 - Saba F. Lameh, Wade Noble, Yasaman Amannejad, Arash Afshar:
Analysis of Federated Learning as a Distributed Solution for Learning on Edge Devices. 66-74 - Aparajith Srinivasan, Anirudh Srikanth, Haresh Indrajit, Venkateswaran Narasimhan:
A Novel Approach for Road Accident Detection using DETR Algorithm. 75-80 - Ali Fadel, Ibraheem Tuffaha, Mahmoud Al-Ayyoub, Yaser Jararweh:
QWERTY Keyboard? }.?BZQ is Better! 81-86 - Issam Al-Azzoni:
Model Driven Approach for Neural Networks. 87-94 - Othman Istaiteh, Razan Al-Omoush, Sara Tedmori:
Racist and Sexist Hate Speech Detection: Literature Review. 95-99 - T. Malapane, Wesley Doorsamy, Babu Sena Paul:
An Intelligent IoT-based Health Monitoring System. 100-105 - Eliot Bytyçi, Astrit Hulaj, Diellza Aliu:
Combination of Genetic Algorithm and Neural Network for Independent Game Playing. 106-109 - Mustafa Hajij, Elizabeth Munch, Paul Rosen:
Fast and Scalable Complex Network Descriptor Using PageRank and Persistent Homology. 110-114 - Muhammad Fazalul Rahman, Naveen Sharma:
Reinforcement Learning Based Approach For Urban Resource Allocation and Path Planning Problems. 115-118 - Arun Anpalagan, Isaac Woungang:
Tsunami Prediction and Impact Estimation using Classifiers on Historical Data. 119-126 - Jinwei Liu, Richard A. Aló, Yohn Jairo Parra Bautista:
DeepTrace: Improving US Pandemic Health Care through Health Disparity Identification and Determinant Tracing. 127-134 - Elsie Fezeka Swana, Wesley Doorsamy, Pitshou N. Bokoro:
Experimental Application of Self-organizing Feature Maps and Principal Component Analysis for Generator Condition Assessment. 135-141 - Senglidet Yean, Bu-Sung Lee, Hong Lye Oh:
Feature Engineering for Grid-based Multi-Floor Indoor Localisation using Machine Learning. 142-148 - David Azcona, Kevin McGuinness, Alan F. Smeaton:
A Comparative Study of Existing and New Deep Learning Methods for Detecting Knee Injuries using the MRNet Dataset. 149-155
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