MLSP-28: ML and Time Series |
Session Type: Poster |
Time: Thursday, 10 June, 14:00 - 14:45 |
Location: Gather.Town |
Virtual Session: View on Virtual Platform |
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 |