MLSP-P31.4
COFE: A FRAMEWORK GENERATING COUNTERFACTUAL ECG FOR EXPLAINABLE CARDIAC AI-DIAGNOSTICS
Jong-Hwan Jang, Junho Song, Yong-Yeon Jo, MedicalAI Co., Ltd., Korea, Republic of
Session:
MLSP-P31: Explainable Machine Learning for Signal Processing II Poster
Track:
Machine Learning for Signal Processing [ML]
Location:
Poster Area 9
Presentation Time:
Wed, 6 May, 14:00 - 16:00
Presentation
Discussion
Resources
No resources available.
Session MLSP-P31
MLSP-P31.1: GLORIA: GATED LOW-RANK INTERPRETABLE ADAPTATION FOR DIALECTAL ASR
Pouya Mehralian, KU Leuven, Belgium; Melissa Farasyn, Anne Breitbarth, Anne-Sophie Ghyselen, Ghent University, Belgium; Hugo Van hamme, KU Leuven, Belgium
MLSP-P31.2: Parameter Localization and Relearning for Safety Disalignment in Large Language Models
Yi Zhou, South China University of Technology, China; Wenpeng Xing, Changting Lin, Dezhang Kong, Binjiang Institute of Zhejiang University, China; Chunqiang Hu, Chongqing University, China; Meng Han, Binjiang Institute of Zhejiang University, China
MLSP-P31.3: Understanding the Improvement in Model Quantization
Boyang Zhang, Institute of Computing Technology, University of Chinese Academy of Sciences and Pengcheng Laboratory, China; Daning Cheng, Yunquan Zhang, Institute of Computing Technology, China; Wenguang Chen, Tsinghua University, China
MLSP-P31.4: COFE: A FRAMEWORK GENERATING COUNTERFACTUAL ECG FOR EXPLAINABLE CARDIAC AI-DIAGNOSTICS
Jong-Hwan Jang, Junho Song, Yong-Yeon Jo, MedicalAI Co., Ltd., Korea, Republic of
MLSP-P31.5: A TEXT-TO-TEXT ALIGNMENT ALGORITHM FOR BETTER EVALUATION OF MODERN SPEECH RECOGNITION SYSTEMS
Lasse Borgholt, Jakob Havtorn, Corti, Denmark; Christian Igel, University of Copenhagen, Denmark; Lars Maaløe, Corti, Denmark; Zheng-Hua Tan, Aalborg University, Denmark
MLSP-P31.6: CONCEPT ACTIVATION VECTORS: A UNIFYING VIEW AND ADVERSARIAL ATTACKS
Ekkehard Schnoor, Aalto University, Finland; Malik Tiomoko, Huawei Technologies, France; Jawher Said, Fraunhofer Heinrich Hertz Institute HHI, Germany; Alexander Jung, Aalto University, Finland; Wojciech Samek, Fraunhofer Heinrich Hertz Institute HHI, Germany
MLSP-P31.7: FAO-FORMER: LEARNING DISENTANGLED SEMANTIC REPRESENTATIONS WITH FREQUENCY-AWARE ORTHOGONAL TRANSFORMER
Kun Yang, Southwest University, China; Zhizhong Niu, Guizhou University of Commerce, China; Mingchen Deng, Ziyao Tang, Guoqiang Xiao, Southwest University, China
MLSP-P31.8: LLMEKEREC: EXPLAINABLE RECOMMENDATION VIA KNOWLEDGE GRAPH PATH REASONING WITH LLMS
Yachao Cui, Yuli Liu, Zheng-Jun Du, Dong Li, Qinghai University, China
MLSP-P31.9: INVESTIGATING MODALITY CONTRIBUTION IN AUDIO LLMS FOR MUSIC
Giovana Morais, Magdalena Fuentes, New York University, United States of America
MLSP-P31.10: IDENTIFYING CRITICAL STATES VIA ACTION CONSENSUS
Shi Peng, East China Normal University, China; Si Liu, ETH Zurich, Switzerland; Peixin Wang, Dapeng Zhi, Min Zhang, East China Normal University, China
Contacts