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Dagstuhl Reports, Volume 7, Issue 7

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Dagstuhl Seminars 17271, 17272, 17281, 17282, 17291, 17292, 17301

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Document
Complete Issue
DOI: 10.4230/DagRep.7.7
Dagstuhl Reports, Volume 7, Issue 7, July 2017, Complete Issue
Abstract
Dagstuhl Reports, Volume 7, Issue 7, July 2017, Complete Issue
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Dagstuhl Reports, Volume 7, Issue 7, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)

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@Article{DagRep.7.7,
  title =	{{Dagstuhl Reports, Volume 7, Issue 7, July 2017, Complete Issue}},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2018},
  volume =	{7},
  number =	{7},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.7.7},
  URN =		{urn:nbn:de:0030-drops-86571},
  doi =		{10.4230/DagRep.7.7},
  annote =	{Keywords: Dagstuhl Reports, Volume 7, Issue 7, July 2017, Complete Issue}
}
Document
Front Matter
DOI: 10.4230/DagRep.7.7.i
Dagstuhl Reports, Table of Contents, Volume 7, Issue 7, 2017
Abstract
Table of Contents, Frontmatter
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Dagstuhl Reports, Volume 7, Issue 7, pp. i-ii, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)

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@Article{DagRep.7.7.i,
  title =	{{Dagstuhl Reports, Table of Contents, Volume 7, Issue 7, 2017}},
  pages =	{i--ii},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2018},
  volume =	{7},
  number =	{7},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.7.7.i},
  URN =		{urn:nbn:de:0030-drops-86560},
  doi =		{10.4230/DagRep.7.7.i},
  annote =	{Keywords: Dagstuhl Reports, Table of Contents, Volume 7, Issue 7, 2017}
}
Document
DOI: 10.4230/DagRep.7.7.1
Foundations of Wireless Networking (Dagstuhl Seminar 17271)

Authors: Christina Fragouli, Magnús M. Halldórson, Kyle Jamieson, and Bhaskar Krishnamachari

Abstract
This report documents the talks and discussions of Dagstuhl Seminar 17271 "Foundations of Wireless Networking". The presented talks represent a wide spectrum of work on wireless networks.
Cite as

Christina Fragouli, Magnús M. Halldórson, Kyle Jamieson, and Bhaskar Krishnamachari. Foundations of Wireless Networking (Dagstuhl Seminar 17271). In Dagstuhl Reports, Volume 7, Issue 7, pp. 1-21, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)

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@Article{fragouli_et_al:DagRep.7.7.1,
  author =	{Fragouli, Christina and Halld\'{o}rson, Magn\'{u}s M. and Jamieson, Kyle and Krishnamachari, Bhaskar},
  title =	{{Foundations of Wireless Networking (Dagstuhl Seminar 17271)}},
  pages =	{1--21},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2018},
  volume =	{7},
  number =	{7},
  editor =	{Fragouli, Christina and Halld\'{o}rson, Magn\'{u}s M. and Jamieson, Kyle and Krishnamachari, Bhaskar},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.7.7.1},
  URN =		{urn:nbn:de:0030-drops-84209},
  doi =		{10.4230/DagRep.7.7.1},
  annote =	{Keywords: wireless networks}
}
Document
DOI: 10.4230/DagRep.7.7.22
Citizen Science: Design and Engagement (Dagstuhl Seminar 17272)

Authors: Irene Celino, Oscar Corcho, Franz Hölker, and Elena Simperl

Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 17272 "Citizen Science: Design and Engagement". In this report, we detail the briefly summarise the content of three invited keynote talks and two invited tutorials. We further outline the findings of five parallel working groups, which met on the first and third day of the workshop, in the areas of: sustainability, measuring success, community engagement, linking and quality.
Cite as

Irene Celino, Oscar Corcho, Franz Hölker, and Elena Simperl. Citizen Science: Design and Engagement (Dagstuhl Seminar 17272). In Dagstuhl Reports, Volume 7, Issue 7, pp. 22-43, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)

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@Article{celino_et_al:DagRep.7.7.22,
  author =	{Celino, Irene and Corcho, Oscar and H\"{o}lker, Franz and Simperl, Elena},
  title =	{{Citizen Science: Design and Engagement (Dagstuhl Seminar 17272)}},
  pages =	{22--43},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2018},
  volume =	{7},
  number =	{7},
  editor =	{Celino, Irene and Corcho, Oscar and H\"{o}lker, Franz and Simperl, Elena},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.7.7.22},
  URN =		{urn:nbn:de:0030-drops-84216},
  doi =		{10.4230/DagRep.7.7.22},
  annote =	{Keywords: Citizen science, Crowdsourcing, Data Analytics, Gamification, Human Computation, Incentives Engineering, Online Community, Open Science}
}
Document
DOI: 10.4230/DagRep.7.7.44
Malware Analysis: From Large-Scale Data Triage to Targeted Attack Recognition (Dagstuhl Seminar 17281)

Authors: Sarah Zennou, Saumya K. Debray, Thomas Dullien, and Arun Lakhothia

Abstract
This report summarizes the program and the outcomes of the Dagstuhl Seminar 17281, entitled "Malware Analysis: From Large-Scale Data Triage to Targeted Attack Recognition". The seminar brought together practitioners and researchers from industry and academia to discuss the state-of-the art in the analysis of malware from both a big data perspective and a fine grained analysis. Obfuscation was also considered. The meeting created new links within this very diverse community.
Cite as

Sarah Zennou, Saumya K. Debray, Thomas Dullien, and Arun Lakhothia. Malware Analysis: From Large-Scale Data Triage to Targeted Attack Recognition (Dagstuhl Seminar 17281). In Dagstuhl Reports, Volume 7, Issue 7, pp. 44-53, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)

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@Article{zennou_et_al:DagRep.7.7.44,
  author =	{Zennou, Sarah and Debray, Saumya K. and Dullien, Thomas and Lakhothia, Arun},
  title =	{{Malware Analysis: From Large-Scale Data Triage to Targeted Attack Recognition (Dagstuhl Seminar 17281)}},
  pages =	{44--53},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2018},
  volume =	{7},
  number =	{7},
  editor =	{Zennou, Sarah and Debray, Saumya K. and Dullien, Thomas and Lakhothia, Arun},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.7.7.44},
  URN =		{urn:nbn:de:0030-drops-84222},
  doi =		{10.4230/DagRep.7.7.44},
  annote =	{Keywords: big data, executable analysis, machine learning, malware, obfuscation, reverse engineering}
}
Document
DOI: 10.4230/DagRep.7.7.54
From Observations to Prediction of Movement (Dagstuhl Seminar 17282)

Authors: Mark Birkin, Somayeh Dodge, Brittany Terese Fasy, and Richard Philip Mann

Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 17282 "From Observations to Prediction of Movement". This seminar brought together researchers from Animal Behaviour, GIS, Computational Geometry, Data Science and other fields to exchange insights from these diverse fields. Presentations focused both on outstanding practical questions, as well as on fundamental mathematical and computational tools.
Cite as

Mark Birkin, Somayeh Dodge, Brittany Terese Fasy, and Richard Philip Mann. From Observations to Prediction of Movement (Dagstuhl Seminar 17282). In Dagstuhl Reports, Volume 7, Issue 7, pp. 54-71, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)

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@Article{birkin_et_al:DagRep.7.7.54,
  author =	{Birkin, Mark and Dodge, Somayeh and Fasy, Brittany Terese and Mann, Richard Philip},
  title =	{{From Observations to Prediction of Movement (Dagstuhl Seminar 17282)}},
  pages =	{54--71},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2018},
  volume =	{7},
  number =	{7},
  editor =	{Birkin, Mark and Dodge, Somayeh and Fasy, Brittany Terese and Mann, Richard Philip},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.7.7.54},
  URN =		{urn:nbn:de:0030-drops-84235},
  doi =		{10.4230/DagRep.7.7.54},
  annote =	{Keywords: trajectory analysis, computational geometry and topology, GIS, animal movement, prediction, home range}
}
Document
DOI: 10.4230/DagRep.7.7.72
Resource Bound Analysis (Dagstuhl Seminar 17291)

Authors: Marco Gaboardi, Jan Hoffman, Reinhard Wilhelm, and Florian Zuleger

Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 17291 "Resource Bound Analysis". Resource-bound analysis is studied in formal methods and programming languages at different levels of abstraction. The goal of the Dagstuhl seminar was to bring together leading researchers with different backgrounds in resource-bound analysis to address challenging open problems and to facilitate communication across research areas.
Cite as

Marco Gaboardi, Jan Hoffman, Reinhard Wilhelm, and Florian Zuleger. Resource Bound Analysis (Dagstuhl Seminar 17291). In Dagstuhl Reports, Volume 7, Issue 7, pp. 72-87, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)

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@Article{gaboardi_et_al:DagRep.7.7.72,
  author =	{Gaboardi, Marco and Hoffman, Jan and Wilhelm, Reinhard and Zuleger, Florian},
  title =	{{Resource Bound Analysis (Dagstuhl Seminar 17291)}},
  pages =	{72--87},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2018},
  volume =	{7},
  number =	{7},
  editor =	{Gaboardi, Marco and Hoffman, Jan and Wilhelm, Reinhard and Zuleger, Florian},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.7.7.72},
  URN =		{urn:nbn:de:0030-drops-84241},
  doi =		{10.4230/DagRep.7.7.72},
  annote =	{Keywords: quantitative analysis, resource-bound analysis, WCET}
}
Document
DOI: 10.4230/DagRep.7.7.88
Topology, Computation and Data Analysis (Dagstuhl Seminar 17292)

Authors: Hamish Carr, Michael Kerber, and Bei Wang

Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 17292 "Topology, Computation and Data Analysis". This seminar was the first of its kind in bringing together researchers with mathematical and computational backgrounds in addressing emerging directions within computational topology for data analysis in practice. The seminar connected pure and applied mathematicians, with theoretical and applied computer scientists with an interest in computational topology. It helped to facilitate interactions among data theorist and data practitioners from several communities to address challenges in computational topology, topological data analysis, and topological visualization.
Cite as

Hamish Carr, Michael Kerber, and Bei Wang. Topology, Computation and Data Analysis (Dagstuhl Seminar 17292). In Dagstuhl Reports, Volume 7, Issue 7, pp. 88-109, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)

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@Article{carr_et_al:DagRep.7.7.88,
  author =	{Carr, Hamish and Kerber, Michael and Wang, Bei},
  title =	{{Topology, Computation and Data Analysis (Dagstuhl Seminar 17292)}},
  pages =	{88--109},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2018},
  volume =	{7},
  number =	{7},
  editor =	{Carr, Hamish and Kerber, Michael and Wang, Bei},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.7.7.88},
  URN =		{urn:nbn:de:0030-drops-84258},
  doi =		{10.4230/DagRep.7.7.88},
  annote =	{Keywords: computational topology, topological data analysis, Topological data visualization}
}
Document
DOI: 10.4230/DagRep.7.7.110
User-Generated Content in Social Media (Dagstuhl Seminar 17301)

Authors: Tat-Seng Chua, Norbert Fuhr, Gregory Grefenstette, Kalervo Järvelin, and Jaakko Paltonen

Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 17301 "User-Generated Content in Social Media". Social media have a profound impact on individuals, businesses, and society. As users post vast amounts of text and multimedia content every minute, the analysis of this user generated content (UGC) can offer insights to individual and societal concerns and could be beneficial to a wide range of applications. In this seminar, we brought together researchers from different subfields of computer science, such as information retrieval, multimedia, natural language processing, machine learning and social media analytics. We discussed the specific properties of UGC, the general research tasks currently operating on this type of content, identifying their limitations, and imagining new types of applications. We formed two working groups, WG1 "Fake News and Credibility", WG2 "Summarizing and Story Telling from UGC". WG1 invented an "Information Nutrition Label" that characterizes a document by different features such as e.g. emotion, opinion, controversy, and topicality; For computing these feature values, available methods and open research issues were identified. WG2 developed a framework for summarizing heterogeneous, multilingual and multimodal data, discussed key challenges and applications of this framework.
Cite as

Tat-Seng Chua, Norbert Fuhr, Gregory Grefenstette, Kalervo Järvelin, and Jaakko Paltonen. User-Generated Content in Social Media (Dagstuhl Seminar 17301). In Dagstuhl Reports, Volume 7, Issue 7, pp. 110-154, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)

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@Article{chua_et_al:DagRep.7.7.110,
  author =	{Chua, Tat-Seng and Fuhr, Norbert and Grefenstette, Gregory and J\"{a}rvelin, Kalervo and Paltonen, Jaakko},
  title =	{{User-Generated Content in Social Media (Dagstuhl Seminar 17301)}},
  pages =	{110--154},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2018},
  volume =	{7},
  number =	{7},
  editor =	{Chua, Tat-Seng and Fuhr, Norbert and Grefenstette, Gregory and J\"{a}rvelin, Kalervo and Paltonen, Jaakko},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.7.7.110},
  URN =		{urn:nbn:de:0030-drops-84260},
  doi =		{10.4230/DagRep.7.7.110},
  annote =	{Keywords: social media, user-generated content, social multimedia, summarisation, storytelling, fake-news, credibility, AI}
}

Filters

  • Authors
  • B
  • Birkin, Mark
  • C
  • Carr, Hamish
  • Celino, Irene
  • Chua, Tat-Seng
  • Corcho, Oscar
  • D
  • Debray, Saumya K.
  • Dodge, Somayeh
  • Dullien, Thomas
  • F
  • Fasy, Brittany Terese
  • Fragouli, Christina
  • Fuhr, Norbert
  • G
  • Gaboardi, Marco
  • Grefenstette, Gregory
  • H
  • Halldórson, Magnús M.
  • Hoffman, Jan
  • Hölker, Franz
  • J
  • Jamieson, Kyle
  • Järvelin, Kalervo
  • K
  • Kerber, Michael
  • Krishnamachari, Bhaskar
  • L
  • Lakhothia, Arun
  • M
  • Mann, Richard Philip
  • P
  • Paltonen, Jaakko
  • S
  • Simperl, Elena
  • W
  • Wang, Bei
  • Wilhelm, Reinhard
  • Z
  • Zennou, Sarah
  • Zuleger, Florian

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