Session 1: Thursday 14:00-15:30
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Feedforward Neural Networks for Caching: Enough or Too Much?
Vladyslav Fedchenko (INRIA), Giovanni Neglia (INRIA) and Bruno Ribeiro (Purdue University)
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Robust URL Classification With Generative Adversarial Networks
Martino Trevisan (Politecnico di Torino) and Idilio Drago (Politecnico di Torino)
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DeepSec meets RawPower - Deep Learning for Detection of Network Attacks Using Raw Representations
Gonzalo Marin (AIT Austrian Institute of Technology), Pedro Casas (AIT Austrian Institute of Technology) and Germán Capdehourat (IIE–FING, UDELAR, Uruguay)
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MalAlert: Detecting Malware in Large-Scale Network Traffic Using Statistical Features
Michal Piskozub (University of Oxford), Riccardo Spolaor (University of Oxford) and Ivan Martinovic (University of Oxford)
Session 2: Thursday 16:00-17:30
- Machine Learning Models for YouTube QoE and User Engagement Prediction in Smartphones
Sarah Wassermann (INRIA), Nikolas Wehner (AIT Austrian Institute of Technology) and Pedro Casas (AIT Austrian Institute of Technology
- A Deep Learning Strategy for Vehicular Floating Content Management
Gaetano Manzo (HES SO Valais), Marco Ajmone Marsan (Politecnico di Torino and Institute IMDEA Networks), Sebastian Otalora Montenegro (HES SO Valais) and Gianluca Rizzo (HES SO Valais).
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Learning Driven Mobility Control of Airborne Base Stations in Emergency Networks
Rui Li (The University of Edinburgh), Chaoyun Zhang (The University of Edinburgh), Razvan Stanica (INSA Lyon), Fabrice Valois (INSA Lyon) and Paul Patras (The University of Edinburgh).
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On Runtime and Classification Performance of the Discretize-Optimize (DISCO) Classification Approach
Johan Garcia (Karlstad University) and Topi Korhonen (Karlstad University)
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Distributed Learning in Ad Hoc Networks with Unknown Number of Players
Manjesh Kumar Hanawal (IIT Bombay) and Sumit J Darak (IIT Delhi).
