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1.
Creating better models of data work through big exercises of imagination
2020, radijska ali televizijska oddaja

Najdeno v: ključnih besedah
Ključne besede: predictive economies, data, social tech, machine learning, autonomy, data worker, trade union, solidarity, labour extraction, data labour rights
Objavljeno: 08.12.2020; Ogledov: 1149; Prenosov: 4
URL Polno besedilo (0,00 KB)

2.
The Future of Film: Appropriation rather than Preservation
Eszter Polonyi, prispevek na konferenci brez natisa

Najdeno v: ključnih besedah
Povzetek najdenega: ...film studies, art history, library and data science, archive theory, contemporary art, intangible heritage,...
Ključne besede: film studies, art history, library and data science, archive theory, contemporary art, intangible heritage, cultural heritage
Objavljeno: 11.12.2020; Ogledov: 1189; Prenosov: 0
.pdf Polno besedilo (1,16 MB)

3.
An unsung 16mm public film archive at Pratt Institute
Eszter Polonyi, prispevek na konferenci brez natisa

Najdeno v: ključnih besedah
Povzetek najdenega: ...studies, media archaeology, analog media, library and data science...
Ključne besede: film studies, media archaeology, analog media, library and data science
Objavljeno: 11.12.2020; Ogledov: 1142; Prenosov: 0
.pdf Polno besedilo (157,24 KB)

4.
Empowering citizen agency and being excellent to each other
2020, radijska ali televizijska oddaja

Najdeno v: ključnih besedah
Povzetek najdenega: ...counterculture, data freedom, open culture, hacktivism, privacy, democracy, education,...
Ključne besede: counterculture, data freedom, open culture, hacktivism, privacy, democracy, education, artistic practice
Objavljeno: 25.11.2020; Ogledov: 1325; Prenosov: 4
URL Polno besedilo (0,00 KB)

5.
Combined fit of spectrum and composition data as measured by the Pierre Auger Observatory
Marko Zavrtanik, Danilo Zavrtanik, Lili Yang, Serguei Vorobiov, Darko Veberič, Marta Trini, Samo Stanič, Ahmed Saleh, Gašper Kukec Mezek, Andrej Filipčič, Andrea Di Matteo, 2015, objavljeni znanstveni prispevek na konferenci

Opis: We present a combined fit of both flux and composition of ultra-high energy cosmic rays as measured by the Pierre Auger Observatory. The fit has been performed for energies above 5 × 10[sup]18 eV, i.e. the region of the all-particle spectrum above the so-called “ankle” feature. A simple astrophysical model consisting of identical sources has been adopted, where nuclei are injected with a rigidity dependent mechanism and the sources are uniformly distributed in a comoving volume. The fit results suggest a source model characterized by relatively low maximum injection energies and hard spectral indices. The impact of different sources of systematic uncertainties in the above result is discussed.
Najdeno v: ključnih besedah
Ključne besede: Pierre Auger Observatory, ultra-high energy cosmic rays, energy spectrum, elemental composition, combined data fit
Objavljeno: 03.03.2016; Ogledov: 3104; Prenosov: 198
.pdf Polno besedilo (704,98 KB)

6.
From Trajectory Modeling to Social Habits and Behaviors Analysis
Donatella Gubiani, Marco Pavan, 2016, samostojni znanstveni sestavek ali poglavje v monografski publikaciji

Opis: In recent years, the widespread of mobile devices has made easier and popular the activities of recording locations visited by users and of inferring their trajectories. The availability of such large amount of spatio-temporal data opens new challenges to automatically extract information and get valuable knowledge. The many aspects of this issue have aroused the interest of researchers in several areas, such as information retrieval, data mining, context-aware computing, security and privacy issues, urban planning, and transport management. Recently, there has been a strong interest in understanding how people move during their common daily activities in order to get information about their behaviors and habits. In this paper we describe considerable recent research works related to the analysis of mobile spatio-temporal data, focusing on the study of social habits and behaviors. We provide a general perspective on studies on human mobility by depicting and comparing methods and algorithms, highlighting some critical issues related to information extraction from spatio-temporal data, and future research directions.
Najdeno v: ključnih besedah
Povzetek najdenega: ...availability of such large amount of spatio-temporal data opens new challenges to automatically extract information...
Ključne besede: Trajectory modeling, Social habits and behaviors, Spatio-temporal data, Data mining
Objavljeno: 18.11.2016; Ogledov: 3474; Prenosov: 0
.pdf Polno besedilo (652,73 KB)

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8.
Cherenkov Telescope Array Data Management
Marko Zavrtanik, Danilo Zavrtanik, Gabrijela Zaharijas, Lili Yang, Serguei Vorobiov, Samo Stanič, Gašper Kukec Mezek, Andrej Filipčič, G. Lamanna, 2015, objavljeni znanstveni prispevek na konferenci

Najdeno v: ključnih besedah
Ključne besede: Cherenkov Telescope Array (CTA), public observatory, data management
Objavljeno: 02.03.2017; Ogledov: 2496; Prenosov: 140
.pdf Polno besedilo (1,09 MB)

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10.
Data model issues in the Cherenkov Telescope Array project
Marko Zavrtanik, Danilo Zavrtanik, Gabrijela Zaharijas, Lili Yang, Serguei Vorobiov, Samo Stanič, Gašper Kukec Mezek, Andrej Filipčič, J.L. Contreras, 2015, objavljeni znanstveni prispevek na konferenci

Najdeno v: ključnih besedah
Ključne besede: Cherenkov Telescope Array (CTA), public observatory, data model
Objavljeno: 02.03.2017; Ogledov: 2401; Prenosov: 175
.pdf Polno besedilo (1,20 MB)

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