2018 IEEE Data Science Workshop (DSW)
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56

(FIVE YEARS 0)

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5

(FIVE YEARS 0)

Published By IEEE

9781538644102

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LEARNING FROM SIGNALS DEFINED OVER SIMPLICIAL COMPLEXES

2018 IEEE Data Science Workshop (DSW) ◽

10.1109/dsw.2018.8439885 ◽

2018 ◽

Cited By ~ 5

Author(s):

Sergio Barbarossa ◽

Stefania Sardellitti ◽

Elena Ceci

Keyword(s):

Simplicial Complexes

[Front cover]

2018 IEEE Data Science Workshop (DSW) ◽

10.1109/dsw.2018.8439118 ◽

2018 ◽

Keyword(s):

Front Cover

ONLINE GRAPH LEARNING FROM SEQUENTIAL DATA

2018 IEEE Data Science Workshop (DSW) ◽

10.1109/dsw.2018.8439913 ◽

2018 ◽

Cited By ~ 9

Author(s):

Stefan Vlaski ◽

Hermina P. Maretic ◽

Roula Nassif ◽

Pascal Frossard ◽

Ali H. Sayed

Keyword(s):

Sequential Data ◽

Graph Learning

DEEP CNN SPARSE CODING ANALYSIS: TOWARDS AVERAGE CASE

2018 IEEE Data Science Workshop (DSW) ◽

10.1109/dsw.2018.8439894 ◽

2018 ◽

Author(s):

Michael Murray ◽

Jared Tanner

Keyword(s):

Sparse Coding ◽

Average Case ◽

Deep Cnn

NEARLY OPTIMAL ROBUST SUBSPACE TRACKING: A UNIFIED APPROACH

2018 IEEE Data Science Workshop (DSW) ◽

10.1109/dsw.2018.8439895 ◽

2018 ◽

Author(s):

Praneeth Narayanamurthy ◽

Namrata Vaswani

Keyword(s):

Subspace Tracking ◽

Unified Approach

SPECTRAL STATISTICS OF DIRECTED NETWORKS WITH RANDOM LINK MODEL TRANSPOSE-ASYMMETRY

2018 IEEE Data Science Workshop (DSW) ◽

10.1109/dsw.2018.8439883 ◽

2018 ◽

Author(s):

Stephen Kruzick ◽

Jose M. F. Moura

Keyword(s):

Directed Networks ◽

Spectral Statistics ◽

Link Model

AIM: AN ABSTRACTION FOR IMPROVING MACHINE LEARNING PREDICTION

2018 IEEE Data Science Workshop (DSW) ◽

10.1109/dsw.2018.8439914 ◽

2018 ◽

Cited By ~ 1

Author(s):

Victoria Stodden ◽

Xiaomian Wu ◽

Vanessa Sochat

Keyword(s):

Machine Learning

MOTIFNET: A MOTIF-BASED GRAPH CONVOLUTIONAL NETWORK FOR DIRECTED GRAPHS

2018 IEEE Data Science Workshop (DSW) ◽

10.1109/dsw.2018.8439897 ◽

2018 ◽

Cited By ~ 10

Author(s):

Federico Monti ◽

Karl Otness ◽

Michael M. Bronstein

Keyword(s):

Directed Graphs ◽

Convolutional Network

SPARSE ANOMALY REPRESENTATIONS IN VERY HIGH-DIMENSIONAL BRAIN SIGNALS

2018 IEEE Data Science Workshop (DSW) ◽

10.1109/dsw.2018.8439924 ◽

2018 ◽

Author(s):

Catherine Stamoulis

Keyword(s):

High Dimensional ◽

Brain Signals ◽

Very High

LEARNING FLEXIBLE REPRESENTATIONS OF STOCHASTIC PROCESSES ON GRAPHS

2018 IEEE Data Science Workshop (DSW) ◽

10.1109/dsw.2018.8439911 ◽

2018 ◽

Author(s):

Addison W. Bohannon ◽

Brian M. Sadler ◽

Radu V. Balan

Keyword(s):

Stochastic Processes