Time-pie visualization: providing contextual information for energy consumption data

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Notes: In: 2013 17th International Conference on Information Visualisation, 16-18 July 2013, London, UK, S. 102-107

Classification: Informatik

Event: Veröffentlichung

(where): Augsburg

(who): Universität Augsburg

(when): 2013

Event: Veröffentlichung

(where): Los Alamitos, CA

(who): IEEE

(when): 2013

Creator: Masoodian, Masood
Endrass, Birgit
Buhling, Rene
Ermolin, Pavel
André, Elisabeth

Contributor: Banissi, Ebad
Azzag, Hanane
Bannatyne, Mark W. McK.
Bertschi, Stefan
Bouali, Fatma
Burkhard, Remo
Counsell, John
Cuzzocrea, Alfredo
Eppler, Martin J.
Hammer, Barbara
Lebbah, Mustapha
Marchese, Francis T.
Sarfraz, Muhammad
Ursyn, Anna
Venturini, Gilles
Wyeld, Theodor G.

DOI: 10.1109/iv.2013.12

URN: urn:nbn:de:bvb:384-opus4-454686

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:27 AM CEST

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Associated

Masoodian, Masood
Endrass, Birgit
Buhling, Rene
Ermolin, Pavel
André, Elisabeth
Banissi, Ebad
Azzag, Hanane
Bannatyne, Mark W. McK.
Bertschi, Stefan
Bouali, Fatma
Burkhard, Remo
Counsell, John
Cuzzocrea, Alfredo
Eppler, Martin J.
Hammer, Barbara
Lebbah, Mustapha
Marchese, Francis T.
Sarfraz, Muhammad
Ursyn, Anna
Venturini, Gilles
Wyeld, Theodor G.
Universität Augsburg
IEEE

Time of origin

2013

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Time-pie visualization: providing contextual information for energy consumption data

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Other Objects (12)

Comparing feature sets for acted and spontaneous speech in view of automatic emotion recognition

Emotion-specific dichotomous classification and feature-level fusion of multichannel biosignals for automatic emotion recognition

A privacy-preserving multi-task learning framework for emotion and identity recognition from multimodal physiological signals

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Implementing parallel and independent movements for a social robot's affective expressions

Exploring eye-tracking-based detection of visual search for elderly people

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A privacy-preserving multi-task learning framework for emotion and identity recognition from multimodal physiological signals

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Implementing parallel and independent movements for a social robot's affective expressions

Exploring eye-tracking-based detection of visual search for elderly people

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