MLSP-P2: Applications of Machine Learning in Signal Processing II |
| Session Type: Poster |
| Time: Monday, March 6, 16:00 - 18:00 |
| Location: Churchill: Poster Area E |
| Session Chair: Jan Larsen, Technical University of Denmark
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MLSP-P2.1: A NOVEL METHODOLOGY TO QUANTIFY DENSE EEG IN COGNITIVE TASKS |
| Catia S. Silva; Computational NeuroEngineering Laboratory |
| Andreas Keil; Center for the Study of Emotion and Attention |
| Jose C. Principe; Computational NeuroEngineering Laboratory |
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MLSP-P2.2: LEARNING SPECTRUM OPPORTUNITIES IN NON-STATIONARY RADIO ENVIRONMENTS |
| Jan Oksanen; Aalto University |
| Visa Koivunen; Aalto University |
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MLSP-P2.3: HIGH ACCURACY EVENT DETECTION FOR NON-INTRUSIVE LOAD MONITORING |
| Mohamed Nait Meziane; University of Orléans |
| Philippe Ravier; University of Orléans |
| Guy Lamarque; University of Orléans |
| Jean-Charles Le Bunetel; University of Tours |
| Yves Raingeaud; University of Tours |
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MLSP-P2.4: BIOBOTIC MOTION AND BEHAVIOR ANALYSIS IN RESPONSE TO DIRECTIONAL NEUROSTIMULATION |
| Alireza Dirafzoon; North Carolina State University |
| Tahmid Latif; North Carolina State University |
| Fengyuan Gong; North Carolina State University |
| Mihail Sichitiu; North Carolina State University |
| Alper Bozkurt; North Carolina State University |
| Edgar Lobaton; North Carolina State University |
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MLSP-P2.5: A COMPREHENSIVE STUDY OF DEEP BIDIRECTIONAL LSTM RNNS FOR ACOUSTIC MODELING IN SPEECH RECOGNITION |
| Albert Zeyer; RWTH Aachen University |
| Patrick Doetsch; RWTH Aachen University |
| Paul Voigtlaender; RWTH Aachen University |
| Ralf Schlüter; RWTH Aachen University |
| Hermann Ney; RWTH Aachen University |
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MLSP-P2.6: A SCALABLE CONVOLUTIONAL NEURAL NETWORK FOR TASK-SPECIFIED SCENARIOS VIA KNOWLEDGE DISTILLATION |
| Mengnan Shi; School of Electronics, Electrical and Communication Engineering, University of Chinese Academy of Sciences |
| Fei Qin; School of Electronics, Electrical and Communication Engineering, University of Chinese Academy of Sciences |
| Qixiang Ye; School of Electronics, Electrical and Communication Engineering, University of Chinese Academy of Sciences |
| Zhenjun Han; School of Electronics, Electrical and Communication Engineering, University of Chinese Academy of Sciences |
| Jianbin Jiao; School of Electronics, Electrical and Communication Engineering, University of Chinese Academy of Sciences |
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MLSP-P2.7: DESIGNING EFFICIENT ARCHITECTURES FOR MODELING TEMPORAL FEATURES WITH CONVOLUTIONAL NEURAL NETWORKS |
| Jordi Pons; Music Technology Group, Universitat Pompeu Fabra, Barcelona |
| Xavier Serra; Music Technology Group, Universitat Pompeu Fabra, Barcelona |
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MLSP-P2.8: A CASE STUDY OF MACHINE LEARNING HARDWARE: REAL-TIME SOURCE SEPARATION USING MARKOV RANDOM FIELDS VIA SAMPLING-BASED INFERENCE |
| Glenn G. Ko; University of Illinois at Urbana-Champaign |
| Rob A. Rutenbar; University of Illinois at Urbana-Champaign |
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MLSP-P2.9: MALWARE CLASSIFICATION WITH LSTM AND GRU LANGUAGE MODELS AND A CHARACTER-LEVEL CNN |
| Ben Athiwaratkun; Cornell University |
| Jack Stokes; Microsoft |
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MLSP-P2.10: ENHANCED INDOOR LOCALIZATION THROUGH CROWD SENSING |
| Eva Arias-de-Reyna; University of Seville |
| Davide Dardari; University of Bologna |
| Pau Closas; Northeastern University |
| Petar M. Djurić; Stony Brook University |
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