Ala Al-Fuqaha
Deriving Emotions and Sentiments from Visual Content: A Disaster Analysis Use Case
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Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning
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Secure and Robust Machine Learning for Healthcare: A Survey
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Exploiting Unlabeled Data in Smart Cities using Federated Learning
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Sentiment Analysis from Images of Natural Disasters
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Multi-Modal Machine Learning for Flood Detection in News, Social Media and Satellite Sequences
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Active Learning for Event Detection in Support of Disaster Analysis Applications
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Black-box Adversarial ML Attack on Modulation Classification
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The Adversarial Machine Learning Conundrum: Can The Insecurity of ML Become The Achilles' Heel of Cognitive Networks?
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Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and The Way Forward
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Leveraging Machine Learning and Big Data for Smart Buildings: A Comprehensive Survey
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Machine Learning, Big Data, And Smart Buildings: A Comprehensive Survey
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Semi-supervised Deep Reinforcement Learning in Support of IoT and Smart City Services
* 11 pages, 7 figures. Accepted for publication in IEEE Internet of Things Journal
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Enabling Cognitive Smart Cities Using Big Data and Machine Learning: Approaches and Challenges
* 7 pages, 5 figures and 1 table. Final version is published in IEEE Communications Magazine
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Adversarial Attacks on Cognitive Self-Organizing Networks: The Challenge and the Way Forward
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SDN Flow Entry Management Using Reinforcement Learning
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Deep Learning for IoT Big Data and Streaming Analytics: A Survey
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Path Planning in Support of Smart Mobility Applications using Generative Adversarial Networks
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Unmanned Aerial Vehicles: A Survey on Civil Applications and Key Research Challenges
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Role of Deep LSTM Neural Networks And WiFi Networks in Support of Occupancy Prediction in Smart Buildings
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Parameters Optimization of Deep Learning Models using Particle Swarm Optimization
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Unsupervised Machine Learning for Networking: Techniques, Applications and Research Challenges
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