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ORCIDMLN 2020: Paris, France
- Éric Renault
, Selma Boumerdassi, Paul Mühlethaler:
Machine Learning for Networking - Third International Conference, MLN 2020, Paris, France, November 24-26, 2020, Revised Selected Papers. Lecture Notes in Computer Science 12629, Springer 2021, ISBN 978-3-030-70865-8 - Henry Clausen, Gudmund Grov, Marc Sabate, David Aspinall:
Better Anomaly Detection for Access Attacks Using Deep Bidirectional LSTMs. 1-18 - Ashish Dhiman, Peng Sun, Robert E. Kooij:
Using Machine Learning to Quantify the Robustness of Network Controllability. 19-39 - El-Heithem Mohammedi, Emmanuel Lavinal, Guillaume Fleury:
Configuration Faults Detection in IP Virtual Private Networks Based on Machine Learning. 40-56 - Vasileios Kouliaridis, Nektaria Potha, Georgios Kambourakis:
Improving Android Malware Detection Through Dimensionality Reduction Techniques. 57-72 - Iman Hmedoush, Cédric Adjih, Paul Mühlethaler:
A Regret Minimization Approach to Frameless Irregular Repetition Slotted Aloha: IRSA-RM. 73-92 - Kamel Barka, Lyamine Guezouli, Samir Gourdache, Sara Ameghchouche:
Mobility Based Genetic Algorithm for Heterogeneous Wireless Networks. 93-106 - Rim Gasmi, Makhlouf Aliouat, Hamida Seba:
Geographical Information Based Clustering Algorithm for Internet of Vehicles. 107-121 - Hamidreza Anvari, Paul Lu:
Active Probing for Improved Machine-Learned Recognition of Network Traffic. 122-140 - Mandlenkosi Victor Gwetu:
A Dynamic Time Warping and Deep Neural Network Ensemble for Online Signature Verification. 141-153 - Ouafae Elaeraj, Cherkaoui Leghris, Éric Renault:
Performance Evaluation of Some Machine Learning Algorithms for Security Intrusion Detection. 154-166 - Frank Phillipson, Robert S. Wezeman, Irina Chiscop:
Three Quantum Machine Learning Approaches for Mobile User Indoor-Outdoor Detection. 167-183 - Thi Thuy Nga Nguyen, Olivier Brun, Balakrishna J. Prabhu:
Learning Resource Allocation Algorithms for Cellular Networks. 184-203 - Carlos E. Arruda, Pedro F. Moraes, Nazim Agoulmine, Joberto S. B. Martins:
Enhanced Pub/Sub Communications for Massive IoT Traffic with SARSA Reinforcement Learning. 204-225 - Merve Turhan, Ersin Öztürk, Hakan Ali Çirpan:
Deep Learning-Aided Spatial Multiplexing with Index Modulation. 226-236 - Khalid Douge, Aissam Berrahou, Youssef Talibi Alaoui, Mohammed Talibi Alaoui:
A Self-gated Activation Function SINSIG Based on the Sine Trigonometric for Neural Network Models. 237-244 - Jane Oruh, Serestina Viriri:
Spectral Analysis for Automatic Speech Recognition and Enhancement. 245-254 - Mohammed Kherarba, Mounir Tahar Abbes, Selma Boumerdassi, Mohammed Meddah, Abdelhak Benhamada, Mohammed Senouci:
Road Sign Identification with Convolutional Neural Network Using TensorFlow. 255-264 - Tanya Gera, Jaiteg Singh, Deepak Thakur, Parvez Faruki:
A Semi-automated Approach for Identification of Trends in Android Ransomware Literature. 265-283 - Ramon Antonio Rodriges Zalipynis:
Towards Machine Learning in Distributed Array DBMS: Networking Considerations. 284-304 - Ihab Benamer, Arslane Yahiouche, Afifa Ghenai:
Deep Learning Environment Perception and Self-tracking for Autonomous and Connected Vehicles. 305-319 - Ronald Tombe, Serestina Viriri:
Remote Sensing Scene Classification Based on Effective Feature Learning by Deep Residual Networks. 320-336 - Chin-Wei Tien, Tse-Yung Huang, Ping Chun Chen, Jenq-Haur Wang:
Identifying Device Types for Anomaly Detection in IoT. 337-348 - Amina Boudjelida, Ali Lemouari:
A Novel Heuristic Optimization Algorithm for Solving the Delay-Constrained Least-Cost Problem. 349-363 - Chouaib Bourahla, Ramdane Maamri, Zaïdi Sahnoun, Nardjes Bouchemal:
Terms Extraction from Clustered Web Search Results. 364-373
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