DC-Mentoring V: Big Data and Deep Machine Learning
August 30, 2:00 pm - 4:30 pm (CEST)
Chairs: Manuel Mucientes Molina and Manuel Fernández Delgado
This track is devoted to Big Data and Deep Machine Learning. The session includes the next 8 discussion slots:
Big data in IoE: investigating IT approaches to big data in healthcare whilst ensuring the competing interests of the right to health and the right to privacy
Aiste Gerybaite
https://nextcloud.citius.usc.es/index.php/s/krKrQKe8TWqjXNb
Deep learning neural networks to detect anomalies in video sequences
Jorge García-González
https://nextcloud.citius.usc.es/index.php/s/kXfyrB4bRA3j5HK
Embedding based link prediction for knowledge graph completion
Russa Biswas
https://nextcloud.citius.usc.es/index.php/s/wMR5G6bEnXMW3GF
Using machine learning for the personalized healthcare of vascular diseases
Ana Vieira
https://nextcloud.citius.usc.es/index.php/s/t86yqKoSnKTf6iB
Adversarial attacks on Android malware detection models using reinforcement learning
Hemant Rathore
https://nextcloud.citius.usc.es/index.php/s/kz23HKPH5QkyWsD
Ranking rules as a tool for reducing the impact of the distance in machine learning methods
Noelia Rico
https://nextcloud.citius.usc.es/index.php/s/KiFm7kCmkP2zYP7
Semantic embeddings in deep convolutional neural networks
Armand Vilalta
https://nextcloud.citius.usc.es/index.php/s/2qbxC73tykk5TYe
Reinforcement learning for saturation-based theorem provers
Bartosz Piotrowski