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-28: ML and Time Series

Session Type: Poster
Time: Thursday, 10 June, 14:00 - 14:45
Location: Gather.Town
Session Chair: Ignacio Santamaría, University of Cantabria
 
   MLSP-28.1: IN SITU CALIBRATION OF CROSS-SENSITIVE SENSORS IN MOBILE SENSOR ARRAYS USING FAST INFORMED NON-NEGATIVE MATRIX FACTORIZATION
         Olivier Vu thanh; University of Mons
         Matthieu Puigt; Univ. Littoral Côte d'Opale
         Farouk Yahaya; Univ. Littoral Côte d'Opale
         Gilles Delmaire; Univ. Littoral Côte d'Opale
         Gilles Roussel; Univ. Littoral Côte d'Opale
 
   MLSP-28.2: MULTIPHISH: MULTI-MODAL FEATURES FUSION NETWORKS FOR PHISHING DETECTION
         Lei Zhang; Institute of Information Engineering, Chinese Academy of Sciences
         Peng Zhang; Institute of Information Engineering, Chinese Academy of Sciences
         Luchen Liu; Institute of Information Engineering, Chinese Academy of Sciences
         Jianlong Tan; Institute of Information Engineering, Chinese Academy of Sciences
 
   MLSP-28.3: FAILURE PREDICTION BY CONFIDENCE ESTIMATION OF UNCERTAINTY-AWARE DIRICHLET NETWORKS
         Theodoros Tsiligkaridis; MIT Lincoln Laboratory
 
   MLSP-28.4: TWO-STAGE FRAMEWORK FOR SEASONAL TIME SERIES FORECASTING
         Qingyang Xu; Massachusetts Institute of Technology
         Qingsong Wen; Alibaba Group
         Liang Sun; Alibaba Group
 
   MLSP-28.5: RECURSIVE INPUT AND STATE ESTIMATION: A GENERAL FRAMEWORK FOR LEARNING FROM TIME SERIES WITH MISSING DATA
         Alberto Garcia-Duran; Ecole Polytechnique Fédérale de Lausanne (EPFL)
         Robert West; Ecole Polytechnique Fédérale de Lausanne (EPFL)
 
   MLSP-28.6: ON THE PERFORMANCE-COMPLEXITY TRADEOFF IN STOCHASTIC GREEDY WEAK SUBMODULAR OPTIMIZATION
         Abolfazl Hashemi; University of Texas at Austin
         Haris Vikalo; University of Texas at Austin
         Gustavo de Veciana; University of Texas at Austin