2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

Technical Program

MLSP-29: Deep Learning for Time Series

Session Type: Poster
Time: Thursday, 10 June, 14:00 - 14:45
Location: Gather.Town
 
MLSP-29.1: SEMI-SUPERVISED TIME SERIES CLASSIFICATION BY TEMPORAL RELATION PREDICTION
         Haoyi Fan; Harbin University of Science and Technology
         Fengbin Zhang; Harbin University of Science and Technology
         Ruidong Wang; Harbin University of Science and Technology
         Xunhua Huang; Harbin University of Science and Technology
         Zuoyong Li; Minjiang University
 
MLSP-29.2: CONTINUOUS CNN FOR NONUNIFORM TIME SERIES
         Hui Shi; University of California, San Diego
         Yang Zhang; MIT-IBM Watson AI Lab
         Hao Wu; University of Illinois at Urbana-Champaign
         Shiyu Chang; MIT-IBM Watson AI Lab
         Kaizhi Qian; University of Illinois at Urbana-Champaign
         Mark Hasegawa-Johnson; University of Illinois at Urbana-Champaign
         Jishen Zhao; University of California, San Diego
 
MLSP-29.3: BLEND-RES^2NET: BLENDED REPRESENTATION SPACE BY TRANSFORMATION OF RESIDUAL MAPPING WITH RESTRAINED LEARNING FOR TIME SERIES CLASSIFICATION
         Arijit Ukil; Tata Consultancy Services
         Antonio J. Jara; HOP Ubiquitous (HOPU)
         Leandro Marin; University of Murcia
 
MLSP-29.4: SPATIOTEMPORAL ATTENTION FOR MULTIVARIATE TIME SERIES PREDICTION AND INTERPRETATION
         Tryambak Gangopadhyay; Iowa State University
         Sin Yong Tan; Iowa State University
         Zhanhong Jiang; Johnson Controls
         Rui Meng; Lawrence Berkeley National Lab, UC Berkeley
         Soumik Sarkar; Iowa State University
 
MLSP-29.5: TABULAR TRANSFORMERS FOR MODELING MULTIVARIATE TIME SERIES
         Inkit Padhi; IBM Research
         Yair Schiff; IBM Cloud and Cognitive Software
         Igor Melnyk; IBM Research
         Mattia Rigotti; IBM Research
         Youssef Mroueh; IBM Research
         Pierre Dognin; IBM Research
         Jerret Ross; IBM Research
         Ravi Nair; IBM Research
         Erik Altman; IBM Research
 
MLSP-29.6: REAL-TIME SYNCHRONIZATION IN NEURAL NETWORKS FOR MULTIVARIATE TIME SERIES ANOMALY DETECTION
         Ahmed Abdulaal; eBay
         Tomer Lancewicki; eBay