default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDit - Information Technology, Volume 62
Volume 62, Number 1, February 2020
- Andreas Heuer
:
Research Data Management. 1-5 - Katja Bercic, Michael Kohlhase, Florian Rabe:
(Deep) FAIR mathematics. 7-17 - Max Schröder, Hayley LeBlanc, Sascha Spors, Frank Krüger:
Intra-consortia data sharing platforms for interdisciplinary collaborative research projects. 19-28 - Armel Lefebvre, Baharak Bakhtiari, Marco Spruit:
Exploring research data management planning challenges in practice. 29-37 - Wilhelm Hasselbring, Leslie Carr, Simon Hettrick, Heather S. Packer, Thanassis Tiropanis:
From FAIR research data toward FAIR and open research software. 39-47
Volume 62, Number 2, April 2020
- Paul Molitor, Jörg Ritter:
Digital methods for intertextuality studies. 49-51 - Charlotte Schubert:
Intertextuality and Digital Humanities. 53-59 - Elisa Nury, Elena Spadini:
From giant despair to a new heaven: The early years of automatic collation. 61-73 - Marcus Pöckelmann, Janis Dähne, Jörg Ritter, Paul Molitor:
Fast paraphrase extraction in Ancient Greek literature. 75-89 - Christopher William Blackwell, Neel Smith:
The CITE architecture (CTS/CITE) for analysis and alignment. 91-98 - Janek Bevendorff, Tobias Wenzel, Martin Potthast, Matthias Hagen, Benno Stein:
On divergence-based author obfuscation: An attack on the state of the art in statistical authorship verification. 99-115
Volume 62, Numbers 3-4, May 2020
- Ulrich Meyer, Ziawasch Abedjan:
Algorithms for Big Data. 117-118 - Mona Rams, Tim Conrad:
Dictionary learning for transcriptomics data reveals type-specific gene modules in a multi-class setting. 119-134 - Ulrich Meyer, Manuel Penschuck:
Large-scale graph generation: Recent results of the SPP 1736 - Part II. 135-144 - Abdulrahman Kaitoua, Tilmann Rabl, Volker Markl:
A distributed data exchange engine for polystores. 145-156 - Claudio Hartmann, Lars Kegel, Wolfgang Lehner:
Feature-aware forecasting of large-scale time series data sets. 157-168 - Joachim Giesen, Sören Laue, Matthias Mitterreiter:
Optimization frameworks for machine learning: Examples and case study. 169-180 - Alexander May:
Solving subset sum with small space - Handling cryptanalytic Big Data. 181-187 - Alexander van der Grinten, Eugenio Angriman, Henning Meyerhenke:
Scaling up network centrality computations - A brief overview. 189-204
Volume 62, Numbers 5-6, December 2020
- Sebastian Steinhorst:
Internet of Things. 205-206 - Ryan A. Cooke, Suhaib A. Fahmy:
Exploring hardware accelerator offload for the Internet of Things. 207-214 - Ege Korkan, Sebastian Kaebisch, Sebastian Steinhorst:
Streamlining IoT system development with open standards. 215-226 - Mohammad Hamad, Zain Alabedin Haj Hammadeh, Selma Saidi, Vassilis Prevelakis:
Temporal-based intrusion detection for IoV. 227-239 - Saravanan Ramanathan, Nitin Shivaraman, Seima Suryasekaran, Arvind Easwaran, Etienne Borde, Sebastian Steinhorst:
A survey on time-sensitive resource allocation in the cloud continuum. 241-255 - Ahmad Tarraf, Lars Hedrich:
From transistor level to cyber physical/hybrid systems: Formal verification using automatic compositional abstraction. 257-270 - Yannic Maus:
The power of locality: Exploring the limits of randomness in distributed computing. 271-278 - Christian Wressnegger:
Efficient machine learning for attack detection. 279-286 - Felix Günther:
Modeling advanced security aspects of key exchange and secure channel protocols. 287-293
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-10-24 20:20 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
