Thu AM1.P: Applications of Machine Learning in Detection and Localisation
Thu, 7 Sep, 10:30 - 12:30 Finland Time (UTC +3)
Location: Fennia Foyer
Session Type: Poster
Session Chair: Saikat Chatterjee, KTH Royal Institute of Technology
Track: SiG-DML - Signal and Data Analytics for Machine Learning

Thu AM1.P.1: RECONSTRUCTION-BASED OUT-OF-DISTRIBUTION DETECTION FOR SHORT-RANGE FMCW RADAR
Sabri Mustafa Kahya, Muhammet Sami Yavuz, Eckehard Steinbach, Technical University of Munich, Germany

Thu AM1.P.2: IMPROVING INERTIAL-BASED UAV LOCALIZATION USING DATA-EFFICIENT DEEP REINFORCEMENT LEARNING
Dimitrios Tsiakmakis, Nikolaos Passalis, Anastasios Tefas, Aristotle University of Thessaloniki, Greece

Thu AM1.P.3: SELF-SUPERVISED LEARNING OF DEPTH MAPS FOR AUTONOMOUS CARS
Andrei-Sebastian Petrescu, Constantin-Cristian Damian, Daniela Colțuc, University Politehnica of Bucharest, Romania

Thu AM1.P.4: TEST-TIME ADVERSARIAL DETECTION AND ROBUSTNESS FOR LOCALIZING HUMANS USING ULTRA WIDE BAND CHANNEL IMPULSE RESPONSES
Abhiram Kolli, Muhammad Jehanzeb Mirza, Horst Possegger, Horst Bischof, Graz University of Technology, Austria

Thu AM1.P.5: Stacking deep learning models for early detection of wildfire smoke plumes
Gonçalo Falcão, INESC-ID, Instituto Superior Técnico, Universidade de Lisboa, Portugal; Armando M. Fernandes, INOV and INESC-ID, Portugal; Nuno Garcia, Helena Aidos, LASIGE, Faculdade de Ciências, Universidade de Lisboa, Portugal; Pedro Tomás, INESC-ID, Instituto Superior Técnico, Universidade de Lisboa, Portugal

Thu AM1.P.6: EFFICIENT ECG-BASED ATRIAL FIBRILLATION DETECTION VIA PARAMETERISED HYPERCOMPLEX NEURAL NETWORKS
Leonie Basso, Zhao Ren, Wolfgang Nejdl, Leibniz Universität Hannover, Germany

Thu AM1.P.8: STATISTICAL PRIOR KNOWLEDGE FOR ROBUST MEDICAL IMAGE SEGMENTATION BY LEVEL SET
Dorsaf HMIDA, Mohamed Amine MEZGHICH, Ines Sakly, Slim MHIRI, Faouzi Ghorbel, ENSI, Tunisia