SPCN-P1: Machine Learning for Communications and Sensing
Tue, 1 Sep, 10:50 - 12:30 Belgium Time (UTC +2)
Location: Balcony I West
Session Type: Poster
Track: SPCN - Signal processing for communications

SPCN-P1.1: OVER-THE-AIR SEMANTIC ALIGNMENT WITH STACKED INTELLIGENT METASURFACES
Mario Edoardo Pandolfo, Sapienza University of Rome, Italy; Kyriakos Stylianopoulos, George C. Alexandropoulos, National and Kapodistrian University of Athens, Greece; Paolo Di Lorenzo, Sapienza University of Rome, Italy

SPCN-P1.2: SEMANTICALLY-ENHANCED SOURCE-CHANNEL DECODING OF IMAGES TRANSMITTED OVER NOISY CHANNELS
Rida Lali, Université Paris-Saclay, CNRS, CentraleSupélec, Laboratoire des signaux et systèmes, 91190, Gif-sur-Yvette, France, France; Elsa Dupraz, IMT Atlantique, CNRS UMR 6285, Lab-STICC, Brest, France, France; Giuseppe Valenzise, Antoine O. Berthet, Université Paris-Saclay, CNRS, CentraleSupélec, Laboratoire des signaux et systèmes, 91190, Gif-sur-Yvette, France, France

SPCN-P1.3: Privacy-Preserving Semantic Communication through Federated Learning with Knowledge-Enhanced Networks
hassan Touati, Centre for Telecommunication Studies, Department of Electrical Engineering, Pontifical Catholic University of Rio de Janeiro, Brazil; Rodrigo C. de Lamare, Centre for Telecommunication Studies, Department of Electrical Engineering, Pontifical Catholic University of Rio de Janeiro, Brazil

SPCN-P1.4: COGNITIVE ANTI-JAMMING NAVIGATION FOR UAVS: INTEGRATING RF FEATURE FUSION WITH DEEP REINFORCEMENT LEARNING
Guanlin Li, Yongzhe Li, Ran Tao, Beijing Institute of Technology, China

SPCN-P1.5: DATA-DRIVEN STABLE STATE DETECTION IN POWER SYSTEM
Amit Bar Sella, Idan Aviram, Michael Zeyde, Alon Amar, Ronen Talmon, Technion, Israel

SPCN-P1.6: Learning Probabilistic Sensor Placement for Detecting Diffusive Processes on Graphs
Alexandre Reiffers-Masson, IMT Atlantique, France; Yezekael Hayel, Avignon Université, France; Lucas Drumetz, IMT Atlantique, France

SPCN-P1.7: TOWARDS GENERIC EMBEDDINGS FOR ROBUST RF SIGNAL RECOGNITION
Lukas Henneke, Frank Kurth, Fraunhofer FKIE, Germany

SPCN-P1.8: When to Parallelize for Stochastic Exploration of Rare Rewards in Reinforcement Learning
Ernesto GARCIA, Laboratoire d'analyse et d'architecture des systèmes, France; Daniel MASTROPIETRO, Institut de Recherche en Informatique de Toulouse, France; Paola BERMOLEN, Universidad de la República, Uruguay; Matthieu JONCKHEERE, Laboratoire d'analyse et d'architecture des systèmes, France

SPCN-P1.9: A VAE APPROACH TO LOW-POWER, MULTI-ADVERSARY PILOT CONTAMINATION ATTACKS IN CF-MMIMO
Dariel Pereira-Ruisanchez, Óscar Fresnedo, Darian Pérez-Adán, Luis Castedo, University of A Coruña, Spain

SPCN-P1.10: Active Face Recognition via Hierarchical Reward Shaping and Viewpoint Optimization
Iason Karakostas, Nikos Nikolaidis, Aristotle University of Thessaloniki, Greece