(c) photo Michel Hasson

3rd International Conference on Machine Learning for Networking (MLN'2020)

Virtual conference, November 24-26, 2020


Tuesday November 24, 2020

09:45-10:00 — Conference opening

10:00-12:00 — Keynote 1

Chair: Paul Mühlethaler

The road towards beyond 5G
Merouane Debbah (Huawei, France)

13:00-14:45 — Session 1

Chair: Éric Renault

Better anomaly detection for access attacks using deep bidirectional LSTMs
Henry Clausen (University of Edinburgh, UK), Gudmund Grov (Norwegian Defence Research Establishment, Norway), Marc Sabate (University of Edinburgh, UK) and David Aspinall (University of Edinburgh and The Alan Turing Institute, UK)

Using Machine Learning to Quantify the Robustness of Network Controllability
Ashish Dhiman, Peng Sun and Robert Kooij (Delft University of Technology, The Netherlands)

Configuration faults detection in IP Virtual Private Networks based on machine learning
El-Heithem Mohammedi (IRIT, University of Toulouse and IMS Networks, France), Emmanuel Lavinal (IRIT, University of Toulouse, France) and Guillaume Fleury (IMS Networks, France)

Improving Android malware detection through dimensionality reduction techniques
Vasileios Kouliaridis, Nektaria Potha (Department of Information & Communication Systems Engineering, University of the Aegean, Greece), and Georgios Kambourakis (European Union, Joint Research Centre, Italy)

A Regret Minimization Approach to Frameless Irregular Repetition Slotted Aloha -- Best paper
Iman Hmedoush, Cédric Adjih, and Paul Mühlethaler (INRIA, France)

15:00-16:45 — Session 2

Chair: Naïla Bouchemal

Mobility based Genetic algorithm for Heterogeneous wireless networks
Kamel Barka, Lyamine Guezouli, Samir Gourdache (LaSTIC Laboratory, University of Batna 2, Algeria) and Sara Ameghchouche (RIIR Laboratory, University of Oran 1, Algeria)

Geographical Information based Clustering Algorithm for Internet of Vehicles
Rim Gasmi, Makhlouf Aliouat (LRSD Laboratory, Ferhat Abbas University Setif 1, Algeria) and Hamida Seba (LIRIS, University of Lyon, France)

Active Probing for Improved Machine-Learned Recognition of Network Traffic
Hamidreza Anvari and Paul Lu (Dept. of Computing Science, University of Alberta Edmonton, Canada)

A Dynamic Time Warping and Deep Neural Network Ensemble for Online Signature Verification
Mandlenkosi Victor Gwetu (University of KwaZulu-Natal, South Africa)

Performance evaluation of some Machine Learning algorithms for Security Intrusion Detection
Ouafae Elaeraj, Cherkaoui Leghris (L@M, RTM Team, Faculty of Sciences and Techniques Mohammedia, Hassan II University of Casablanca, Morocco), Éric Renault (LIGM, ESIEE Paris, Université Gustave Eiffel, France)

Wednesday November 25, 2020

10:00-12:00 — Keynote 2

Chair: Paul Mühlethaler

Toward a theory of learnability: The algorithms and the frontiers of Artificial Intelligence
Philippe Jacquet (INRIA, France)

13:00-14:45 — Session 3

Chair: Emmanuel Lavinal

Three Quantum Machine Learning Approaches for Mobile User Indoor-Outdoor Detection
Frank Phillipson, Robert S. Wezeman and Irina Chiscop (TNO, The Netherlands)

Learning resource allocation algorithms for cellular networks
Thi Thuy Nga Nguyen (Continental Digital Service in France and LAAS-CNRS, Université de Toulouse, France), Olivier Brun (LAAS-CNRS, Université de Toulouse, France), and Balakrishna J. Prabhu (LAAS-CNRS, Université de Toulouse, France)

Enhanced Pub/Sub Communications for Massive IoT Traffic with SARSA Reinforcement Learning
Carlos E. Arruda, Pedro F. Moraes (Salvador University - UNIFACS, Brazil), Nazim Agoulmine (University of Paris-Saclay/IBISC Laboratory, France) and Joberto S. B. Martins (Salvador University - UNIFACS, Brazil)

Deep Learning-Aided Spatial Multiplexing with Index Modulation
Merve Turhan (Ericsson Research, Sweden), Ersin Öztürk (Netas, Department of Research and Development and Istanbul Technical University, Faculty of Electrical and Electronics Engineering, Turkey) and Hakan Ali Çırpan (Istanbul Technical University, Faculty of Electrical and Electronics Engineering, Turkey)

15:00-16:00 — Keynote 3

Chair: Hamida Seba

Next Frontiers in Smart Mobility
Fakhri Karray (University of Waterloo, Canada)

16:15-17:15 — Session 4

Chair: Nardjes Bouchemal

A Self-Gated Activation Function SINSIG Based on the Sine Trigonometric for Neural Network Models
Khalid Douge (Sidi Mohamed Ben Abdellah University, Morocco), Aissam Berrahou (Mohamed V University, Morocco), Youssef Talibi Alaoui (Mahamed I University, Morocco), Mohammed Talibi Alaoui (Sidi Mohamed Ben Abdellah University, Morocco)

Spectral Analysis for Automatic Speech Recognition and Enhancement
Jane Oruh and Serestina Viriri (School of Mathematics, Statistics and Computer Science University of KwaZulu-Natal, South Africa)

Road sign Identification with Convolutional Neural Network using TensorFlow
Kherarba Mohamed, Tahar Abbes Mounir, Meddah Mohammed, Benhamada Abdelhak (Chlef University, Algeria) and Senouci Mohamed (Oran University, Algeria)

Thursday November 26, 2020

10:00-12:00 — Session 5

Chair: Éric Renault

A Semi-Automated Approach for Identification of Trends in Android Ransomware Literature
Tanya Gera, Jaiteg Singh, Deepak Thakur (Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India), Parvez Faruki (AV Parekh Technical Institute, Rajkot, India)

Towards Machine Learning in Distributed Array DBMS: Networking Considerations
Ramon Antonio Rodriges Zalipynis (HSE University, Russia)

Deep Learning Environment Perception and Self-Tracking for Autonomous and Connected Vehicles
Ihab Benamer, Arslane Yahiouche and Afifa Ghenai (Université de Constantuine 2, Algeria)

Remote Sensing Scene Classification Based on Effective Feature Learning by Deep Residual Networks
Ronald Tombe and Serestina Viriri (School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, South Africa)

Identifying Device Types for Anomaly Detection in IoT
Chin-Wei Tien, Tse-Yung Huang, Ping Chun Chen (Cybersecurity Technology Institute, Institute for Information Industry, Taiwan), Jenq-Haur Wang (National Taipei University of Technology, Taiwan)

13:00-14:30 — Session 6

Chair: Naïla Bouchemal

Towards Developing Affect-Aware Smart Environments by Intelligent Analysis of User Interaction Data — Invited paper
Nirmalya Thakur (Department of Electrical Engineering and Computer Science, College of Engineering and Applied Sciences, University of Cincinnati, USA)

A novel heuristic optimization algorithm for solving the Delay-Constrained Least-Cost problem
Amina Boudjelida and Ali Lemouari (Laboratory of Mathematics and Applied Mathematics (LMAM) University of Jijel, Algeria)

Terms Extraction from Clustered Web Search Results
Chouaib Bourahla, Ramdane Maamri, Zaidi Sahnoun (Abdelhamid Mehri Constantine 2 University, Algeria) and Nardjes Bouchemal (Abdelhafid Boussouf Mila University, Algeria)

14:30-14:45 — Conference closing