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Faculty of Electrical and Information Engineering (4000)
Graz University of Technology (90000)
Phone
873-7110
Email
dekanat.etit@tugraz.at
Website
http://www.etit.tugraz.at
primary organisation address
8010
Inffeldgasse 18
Graz
Austria
Overview
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Network
Persons
(516)
Research Outputs
(10183)
Activities
(4996)
Prizes
(357)
Press / Media
(345)
Projects
(1207)
Research output
Research output per year
1972
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
4641
Conference paper
2032
Article
722
(Old data) Lecture or Presentation
641
Poster
2147
More
406
Paper
316
Other report
232
Chapter
200
Commissioned report
177
Patent
138
Doctoral Thesis
116
Abstract
106
Diploma Thesis
86
Anthology
63
Master's Thesis
55
Book
47
Website / Web publication
40
Lecture notes
34
Other contribution
31
Conference article
18
Editorial
16
Habilitation
10
Bachelor's Thesis
9
Preprint
6
Review article
6
Discussion paper
4
Other chapter contribution
4
Comment/debate
4
Data set/Database
4
Software
4
Working paper
3
Letter
2
Foreword/postscript
2
Special issue
2
Digital or Visual Products
2
Brochure
1
Entry for encyclopedia/dictionary
1
Review of a scientific publication
1
Short survey
1
Featured article
Research output per year
Research output per year
4 results
Publication Year, Title
(descending)
Publication Year, Title
(ascending)
Title
Type
Filter
Working paper
Search results
2021
Overview of the African Transmission Grid and Electricity Markets
Gaugl, R.
,
21 Mar 2021
.
Research output
:
Working paper
The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks
Entezari, R.
,
Sedghi, H.
,
Saukh, O.
&
Neyshabur, B.
,
12 Oct 2021
,
arXiv
,
24 p.
Research output
:
Working paper
Invariance
100%
Interpolation
80%
Neural networks
57%
2020
Technical Report: Interpretable and Transferable Models to Understand the Impact of Lockdown Measures on Local Air Quality
Einsiedler, J.
,
Cheng, Y.
,
Papst, F.
&
Saukh, O.
,
19 Nov 2020
,
12 p.
Research output
:
Working paper
2019
Resource-Efficient Neural Networks for Embedded Systems
Roth, W.
,
Schindler, G.
,
Zöhrer, M.
,
Pfeifenberger, L.
,
Peharz, R.
,
Tschiatschek, S.
,
Fröning, H.
,
Pernkopf, F.
&
Ghahramani, Z.
,
2019
, (Submitted)
37 p.
Research output
:
Working paper
Embedded systems
100%
Machine learning
79%
Neural networks
65%
Deep neural networks
20%
Internet of things
18%