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
Login Paper Search My Schedule Paper Index Help

My ICASSP 2021 Schedule

Note: Your custom schedule will not be saved unless you create a new account or login to an existing account.
  1. Create a login based on your email (takes less than one minute)
  2. Perform 'Paper Search'
  3. Select papers that you desire to save in your personalized schedule
  4. Click on 'My Schedule' to see the current list of selected papers
  5. Click on 'Printable Version' to create a separate window suitable for printing (the header and menu will appear, but will not actually print)
Click on the icon to view the manuscript on IEEE XPlore in the IEEE ICASSP 2021 Open Preview.

Clicking on the Add button next to a paper title will add that paper to your custom schedule.
Clicking on the Remove button next to a paper will remove that paper from your custom schedule.

MLSP-29: Deep Learning for Time Series

Session Type: Poster
Time: Thursday, 10 June, 14:00 - 14:45
Location: Gather.Town
Session Chair: Tommy Sonne Alstrøm, Technical University of Denmark
 
   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