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Dagstuhl Reports, Volume 10, Issue 1

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Complete Issue
DOI: 10.4230/DagRep.10.1
Dagstuhl Reports, Volume 10, Issue 1, January 2020, Complete Issue
Abstract
Dagstuhl Reports, Volume 10, Issue 1, January 2020, Complete Issue
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Dagstuhl Reports, Volume 10, Issue 1, pp. 1-161, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)

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@Article{DagRep.10.1,
  title =	{{Dagstuhl Reports, Volume 10, Issue 1, January 2020, Complete Issue}},
  pages =	{1--161},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2020},
  volume =	{10},
  number =	{1},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.10.1},
  URN =		{urn:nbn:de:0030-drops-123983},
  doi =		{10.4230/DagRep.10.1},
  annote =	{Keywords: Dagstuhl Reports, Volume 10, Issue 1, January 2020, Complete Issue}
}
Document
Front Matter
DOI: 10.4230/DagRep.10.1.i
Dagstuhl Reports, Table of Contents, Volume 10, Issue 1, 2020
Abstract
Dagstuhl Reports, Table of Contents, Volume 10, Issue 1, 2020
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Dagstuhl Reports, Volume 10, Issue 1, pp. i-ii, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)

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@Article{DagRep.10.1.i,
  title =	{{Dagstuhl Reports, Table of Contents, Volume 10, Issue 1, 2020}},
  pages =	{i--ii},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2020},
  volume =	{10},
  number =	{1},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.10.1.i},
  URN =		{urn:nbn:de:0030-drops-123999},
  doi =		{10.4230/DagRep.10.1.i},
  annote =	{Keywords: Table of Contents, Frontmatter}
}
Document
DOI: 10.4230/DagRep.10.1.1
Spoken Language Interaction with Virtual Agents and Robots (SLIVAR): Towards Effective and Ethical Interaction (Dagstuhl Seminar 20021)

Authors: Laurence Devillers, Tatsuya Kawahara, Roger K. Moore, and Matthias Scheutz

Abstract
This report documents the outcomes of Dagstuhl Seminar 20021 "Spoken Language Interaction with Virtual Agents and Robots (SLIVAR): Towards Effective and Ethical Interaction". Held in January 2020, the seminar brought together world experts on spoken language processing and human-robot interaction. The aims of the seminar were not only to share knowledge and insights across related fields, but also to cultivate a distinct SLIVAR research community. In this report, we present an overview of the seminar program and its outcomes, abstracts from stimulus talks given by prominent researchers, a summary of the `Show and Tell' demonstrations held during the seminar and open problem statements from participants.
Cite as

Laurence Devillers, Tatsuya Kawahara, Roger K. Moore, and Matthias Scheutz. Spoken Language Interaction with Virtual Agents and Robots (SLIVAR): Towards Effective and Ethical Interaction (Dagstuhl Seminar 20021). In Dagstuhl Reports, Volume 10, Issue 1, pp. 1-51, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)

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@Article{devillers_et_al:DagRep.10.1.1,
  author =	{Devillers, Laurence and Kawahara, Tatsuya and Moore, Roger K. and Scheutz, Matthias},
  title =	{{Spoken Language Interaction with Virtual Agents and Robots (SLIVAR): Towards Effective and Ethical Interaction (Dagstuhl Seminar 20021)}},
  pages =	{1--51},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2020},
  volume =	{10},
  number =	{1},
  editor =	{Devillers, Laurence and Kawahara, Tatsuya and Moore, Roger K. and Scheutz, Matthias},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.10.1.1},
  URN =		{urn:nbn:de:0030-drops-124009},
  doi =		{10.4230/DagRep.10.1.1},
  annote =	{Keywords: human-robot interaction, spoken language processing, virtual agents}
}
Document
DOI: 10.4230/DagRep.10.1.52
Scalability in Multiobjective Optimization (Dagstuhl Seminar 20031)

Authors: Carlos M. Fonseca, Kathrin Klamroth, Günter Rudolph, and Margaret M. Wiecek

Abstract
The Dagstuhl Seminar 20031 Scalability in Multiobjective Optimization carried on a series of six previous Dagstuhl Seminars (04461, 06501, 09041, 12041, 15031 and 18031) that were focused on Multiobjective Optimization. The continuing goal of this series is to strengthen the links between the Evolutionary Multiobjective Optimization (EMO) and the Multiple Criteria Decision Making (MCDM) communities, two of the largest communities concerned with multiobjective optimization today. This report documents the program and the outcomes of Dagstuhl Seminar 20031 "Scalability in Multiobjective Optimization". The seminar focused on three main aspects of scalability in multiobjective optimization (MO) and their interplay, namely (1) MO with many objective functions, (2) MO with many decision makers, and (3) MO with many variables and large amounts of data.
Cite as

Carlos M. Fonseca, Kathrin Klamroth, Günter Rudolph, and Margaret M. Wiecek. Scalability in Multiobjective Optimization (Dagstuhl Seminar 20031). In Dagstuhl Reports, Volume 10, Issue 1, pp. 52-129, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)

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@Article{fonseca_et_al:DagRep.10.1.52,
  author =	{Fonseca, Carlos M. and Klamroth, Kathrin and Rudolph, G\"{u}nter and Wiecek, Margaret M.},
  title =	{{Scalability in Multiobjective Optimization (Dagstuhl Seminar 20031)}},
  pages =	{52--129},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2020},
  volume =	{10},
  number =	{1},
  editor =	{Fonseca, Carlos M. and Klamroth, Kathrin and Rudolph, G\"{u}nter and Wiecek, Margaret M.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.10.1.52},
  URN =		{urn:nbn:de:0030-drops-124017},
  doi =		{10.4230/DagRep.10.1.52},
  annote =	{Keywords: multiple criteria decision making, evolutionary multiobjective optimization, scalability}
}
Document
DOI: 10.4230/DagRep.10.1.130
Symmetric Cryptography (Dagstuhl Seminar 20041)

Authors: Nils Gregor Leander, Bart Mennink, Kaisa Nyberg, and Kan Yasuda

Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 20041 "Symmetric Cryptography". The seminar was held on January 19-24, 2020 in Schloss Dagstuhl - Leibniz Center for Informatics. This was the seventh seminar in the series "Symmetric Cryptography". Previous editions were held in 2007, 2009, 2012, 2014, 2016, and 2018. Participants of the seminar presented their ongoing work and new results on topics of (quantum) cryptanalysis and provable security of symmetric cryptographic primitives. In this report, a brief summary of the seminar is given followed by the abstracts of given talks.
Cite as

Nils Gregor Leander, Bart Mennink, Kaisa Nyberg, and Kan Yasuda. Symmetric Cryptography (Dagstuhl Seminar 20041). In Dagstuhl Reports, Volume 10, Issue 1, pp. 130-143, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)

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@Article{leander_et_al:DagRep.10.1.130,
  author =	{Leander, Nils Gregor and Mennink, Bart and Nyberg, Kaisa and Yasuda, Kan},
  title =	{{Symmetric Cryptography (Dagstuhl Seminar 20041)}},
  pages =	{130--143},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2020},
  volume =	{10},
  number =	{1},
  editor =	{Leander, Nils Gregor and Mennink, Bart and Nyberg, Kaisa and Yasuda, Kan},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.10.1.130},
  URN =		{urn:nbn:de:0030-drops-124023},
  doi =		{10.4230/DagRep.10.1.130},
  annote =	{Keywords: (quantum) cryptanalysis, constrained platforms, symmetric cryptography}
}
Document
DOI: 10.4230/DagRep.10.1.144
Computational Metabolomics: From Cheminformatics to Machine Learning (Dagstuhl Seminar 20051)

Authors: Sebastian Böcker, Corey Broeckling, Emma Schymanski, and Nicola Zamboni

Abstract
Dagstuhl Seminar 20051 on Computational Metabolomics is the third edition of seminars on this topic and focused on Cheminformatics and Machine Learning. With the advent of higher precision instrumentation, application of metabolomics to a wider variety of small molecules, and ever increasing amounts of raw and processed data available, developments in cheminformatics and machine learning are sorely needed to facilitate interoperability and leverage further insights from these data. Following on from Seminars 17491 and 15492, this edition convened both experimental and computational experts, many of whom had attended the previous sessions and brought much-valued perspective to the week’s proceedings and discussions. Throughout the week, participants first debated on what topics to discuss in detail, before dispersing into smaller, focused working groups for more in-depth discussions. This dynamic format was found to be most productive and ensured active engagement amongst the participants. The abstracts in this report reflect these working group discussions, in addition to summarising several informal evening sessions. Action points to follow-up on after the seminar were also discussed, including future workshops and possibly another Dagstuhl seminar in late 2021 or 2022.
Cite as

Sebastian Böcker, Corey Broeckling, Emma Schymanski, and Nicola Zamboni. Computational Metabolomics: From Cheminformatics to Machine Learning (Dagstuhl Seminar 20051). In Dagstuhl Reports, Volume 10, Issue 1, pp. 144-159, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)

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@Article{bocker_et_al:DagRep.10.1.144,
  author =	{B\"{o}cker, Sebastian and Broeckling, Corey and Schymanski, Emma and Zamboni, Nicola},
  title =	{{Computational Metabolomics: From Cheminformatics to Machine Learning (Dagstuhl Seminar 20051)}},
  pages =	{144--159},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2020},
  volume =	{10},
  number =	{1},
  editor =	{B\"{o}cker, Sebastian and Broeckling, Corey and Schymanski, Emma and Zamboni, Nicola},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.10.1.144},
  URN =		{urn:nbn:de:0030-drops-124036},
  doi =		{10.4230/DagRep.10.1.144},
  annote =	{Keywords: bioinformatics, chemoinformatics, computational mass spectrometry, computational metabolomics, machine learning}
}

Filters

  • Authors
  • B
  • Böcker, Sebastian
  • Broeckling, Corey
  • D
  • Devillers, Laurence
  • F
  • Fonseca, Carlos M.
  • K
  • Kawahara, Tatsuya
  • Klamroth, Kathrin
  • L
  • Leander, Nils Gregor
  • M
  • Mennink, Bart
  • Moore, Roger K.
  • N
  • Nyberg, Kaisa
  • R
  • Rudolph, Günter
  • S
  • Scheutz, Matthias
  • Schymanski, Emma
  • W
  • Wiecek, Margaret M.
  • Y
  • Yasuda, Kan
  • Z
  • Zamboni, Nicola

  • Subjects
  • Applied computing
  • Applied computing → Life and medical sciences
  • Applied computing → Operations research
  • Computer systems organization
  • Computer systems organization → Robotics
  • Computing methodologies
  • Computing methodologies → Artificial intelligence
  • Computing methodologies → Natural language processing
  • Computing methodologies → Philosophical/theoretical foundations of artificial intelligence
  • Mathematics of computing
  • Mathematics of computing → Mathematical optimization
  • Security and privacy
  • Security and privacy → Cryptanalysis and other attacks
  • Security and privacy → Symmetric cryptography and hash functions
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