MLSP-P12: Explainable and Interpretable Machine Learning II
Wed, 17 Apr, 08:20 - 10:20 (UTC +9)
Location: Poster Zone 4B
Session Type: Poster
Session Chair: Petar Djuric, Stony Brook University
Track: Machine Learning for Signal Processing
Click the to view the manuscript on IEEE Xplore Open Preview
 

MLSP-P12.1: ANOMALY DETECTION FROM A FREQUENCY PERSPECTIVE: M-BAND WAVELET PACKET ANOMALY DETECTION NETWORK
Zuogang Shang, Zhibin Zhao, Shibin Wang, Ruqiang Yan, Xi'an Jiaotong University, China
 

MLSP-P12.2: FW-SHAPLEY: REAL-TIME ESTIMATION OF WEIGHTED SHAPLEY VALUES
Pranoy Panda, Fujitsu Research of India, India; Siddharth Tandon, Vineeth N. Balasubramanian, Indian Institute of Technology Hyderabad, India
 

MLSP-P12.3: FOLLOWING THE EMBEDDING: IDENTIFYING TRANSITION PHENOMENA IN WAV2VEC 2.0 REPRESENTATIONS OF SPEECH AUDIO
Patrick Cormac English, Erfan A. Shams, University College Dublin, Ireland; John D. Kelleher, Maynooth University, Ireland; Julie Carson-Berndsen, University College Dublin, Ireland
 

MLSP-P12.4: MULTI-MODAL GPT-4 AIDED ACTION PLANNING AND REASONING FOR SELF-DRIVING VEHICLES
Fangyuan Chi, Yixiao Wang, Panos Nasiopoulos, Victor C.M. Leung, The University of British Columbia, Canada
 

MLSP-P12.5: Image Attribution by Generating Images
Aniket Singh, Anoop Namboodiri, International Institute of Information Technology, Hyderabad, India
 

MLSP-P12.6: A SEQUENTIAL AVERAGING PLUG-AND-PLAY METHOD FOR IMAGE RESTORATION VIA FIXED-POINT PROJECTION
Shuchang Zhang, Hongxia Wang, National University of Defense Technology, China
 

MLSP-P12.7: WHEN GREEN LEARNING MEETS FEDERATED LEARNING: TOWARD DISTRIBUTED LEARNING WITH LOW COMPLEXITY AND MODEL HETEROGENEITY
Yi-Cheng Lai, Chen-Yu Wang, Feng-Tsun Chien, National Yang Ming Chiao Tung University, Taiwan
 

MLSP-P12.8: AttHear: Explaining Audio Transformers Using Attention-Aware NMF
Alican Akman, Björn W. Schuller, Imperial College London, United Kingdom of Great Britain and Northern Ireland

MLSP-P12.9: INTERPRETING THE CONTRIBUTION OF SENSORS IN BLIND SOURCE EXTRACTION BY MEANS OF SHAPLEY VALUES
Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte, University of Campinas, Brazil; Michel Grabisch, Université Paris I Panthéon-Sorbonne, France
 

MLSP-P12.10: DIB-X: FORMULATING EXPLAINABILITY PRINCIPLES FOR A SELF-EXPLAINABLE MODEL THROUGH INFORMATION THEORETIC LEARNING
Changkyu Choi, UiT the Arctic University of Norway, Norway; Shujian Yu, Vrije Universiteit Amsterdam, Netherlands; Michael Kampffmeyer, UiT the Arctic Univerisity of Norway, Norway; Arnt-Børre Salberg, Norwegian Computing Center, Norway; Nils Olav Handegard, Norwegian Institute of Marine Research, Norway; Robert Jenssen, UiT the Arctic University of Norway, Norway

MLSP-P12.11: Dagma-DCE: Interpretable, Non-Parametric Differentiable Causal Discovery
Daniel Waxman, Kurt Butler, Petar Djuric, Stony Brook University, United States of America
 

MLSP-P12.12: BI-DIRECTIONAL MOTION ATTENTION WITH CONTRASTIVE LEARNING FOR FEW-SHOT ACTION RECOGNITION
Hanyu Guo, Wanchuan Yu, Yan Yan, Hanzi Wang, Xiamen University, China
 

MLSP-P12.13: UNRAVELING EXPLAINABLE REINFORCEMENT LEARNING USING BEHAVIOR TREE STRUCTURES
Kejia Wan, National University of Defense Technology, China; Yuntao Liu, Academy of Military Science, China; Hengzhu Liu, National University of Defense Technology, China; Xinhai Xu, Academy of Military Science, China