Technical Program

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
 
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
 
MLSP-P2.2: LEARNING SPECTRUM OPPORTUNITIES IN NON-STATIONARY RADIO ENVIRONMENTS
         Jan Oksanen; Aalto University
         Visa Koivunen; Aalto University
 
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
 
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
 
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
 
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
 
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
 
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
 
MLSP-P2.9: MALWARE CLASSIFICATION WITH LSTM AND GRU LANGUAGE MODELS AND A CHARACTER-LEVEL CNN
         Ben Athiwaratkun; Cornell University
         Jack Stokes; Microsoft
 
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