| Deep learning models for wireless signal classification with distributed low-cost spectrum sensors S Rajendran, W Meert, D Giustiniano, V Lenders, S Pollin IEEE Transactions on Cognitive Communications and Networking 4 (3), 433-445, 2018 | 774 | 2018 |
| Electrosense: Open and big spectrum data S Rajendran, R Calvo-Palomino, M Fuchs, B Van den Bergh, H Cordobés, ... IEEE Communications Magazine 56 (1), 210-217, 2017 | 171 | 2017 |
| Key technologies and system trade-offs for detection and localization of amateur drones MM Azari, H Sallouha, A Chiumento, S Rajendran, E Vinogradov, S Pollin IEEE Communications Magazine 56 (1), 51-57, 2018 | 137 | 2018 |
| Unsupervised wireless spectrum anomaly detection with interpretable features S Rajendran, W Meert, V Lenders, S Pollin ieee transactions on cognitive communications and networking 5 (3), 637-647, 2019 | 86 | 2019 |
| SAIFE: Unsupervised wireless spectrum anomaly detection with interpretable features S Rajendran, W Meert, V Lenders, S Pollin 2018 IEEE international symposium on dynamic spectrum access networks …, 2018 | 85 | 2018 |
| Combined RF-based drone detection and classification S Basak, S Rajendran, S Pollin, B Scheers IEEE Transactions on Cognitive Communications and Networking 8 (1), 111-120, 2021 | 81 | 2021 |
| Drone classification from RF fingerprints using deep residual nets S Basak, S Rajendran, S Pollin, B Scheers 2021 International Conference on COMmunication Systems & NETworkS (COMSNETS …, 2021 | 50 | 2021 |
| Crowdsourced wireless spectrum anomaly detection S Rajendran, V Lenders, W Meert, S Pollin IEEE Transactions on Cognitive Communications and Networking 6 (2), 694-703, 2019 | 36 | 2019 |
| Learning the unknown: Improving modulation classification performance in unseen scenarios E Perenda, S Rajendran, G Bovet, S Pollin, M Zheleva IEEE INFOCOM 2021-IEEE Conference on Computer Communications, 1-10, 2021 | 29 | 2021 |
| Localization in ultra narrow band IoT networks: Design guidelines and tradeoffs H Sallouha, A Chiumento, S Rajendran, S Pollin IEEE Internet of Things Journal 6 (6), 9375-9385, 2019 | 27 | 2019 |
| DySPAN spectrum challenge: Situational awareness and opportunistic spectrum access benchmarked F Wunsch, F Paisana, S Rajendran, A Selim, P Alvarez, S Müller, ... IEEE Transactions on Cognitive Communications and Networking 3 (3), 550-562, 2017 | 24 | 2017 |
| Electrosense: Crowdsourcing spectrum monitoring B Van den Bergh, D Giustiniano, H Cordobés, M Fuchs, ... 2017 IEEE International Symposium on Dynamic Spectrum Access Networks …, 2017 | 23 | 2017 |
| Electrosense+: Crowdsourcing radio spectrum decoding using IoT receivers R Calvo-Palomino, H Cordobés, M Engel, M Fuchs, P Jain, M Liechti, ... Computer Networks 174, 107231, 2020 | 22 | 2020 |
| Automatic modulation classification using parallel fusion of convolutional neural networks E Perenda, S Rajendran, S Pollin BalkanCom'19, 2019 | 22 | 2019 |
| Saving energy in WSNs for acoustic surveillance applications while maintaining QoS B Thoen, G Ottoy, F Rosas, S Lauwereins, S Rajendran, L De Strycker, ... 2017 IEEE Sensors Applications Symposium (SAS), 1-6, 2017 | 16 | 2017 |
| IEEE 5G spectrum sharing challenge: A practical evaluation of learning and feedback S Rajendran, B Van den Bergh, T Vermeulen, S Pollin IEEE Communications Magazine 54 (11), 210-216, 2016 | 15 | 2016 |
| Evolutionary optimization of residual neural network architectures for modulation classification E Perenda, S Rajendran, G Bovet, S Pollin, M Zheleva IEEE Transactions on Cognitive Communications and Networking 8 (2), 542-556, 2021 | 9 | 2021 |
| Contrastive learning with self-reconstruction for channel-resilient modulation classification E Perenda, S Rajendran, G Bovet, M Zheleva, S Pollin IEEE INFOCOM 2023-IEEE Conference on Computer Communications, 1-10, 2023 | 8 | 2023 |
| Autoencoder based framework for drone rf signal classification and novelty detection S Basak, S Rajendran, S Pollin, B Scheers 2023 25th International Conference on Advanced Communication Technology …, 2023 | 5 | 2023 |
| Large‐scale Wireless Spectrum Monitoring: Challenges and Solutions based on Machine Learning S Rajendran, S Pollin Spectrum Sharing: The Next Frontier in Wireless Networks, 321-339, 2020 | 5 | 2020 |
Sofie PollinProfessor Electrical Engineering, KU LeuvenBestätigte E-Mail-Adresse bei esat.kuleuven.be
