Stefan Kramer – författare

The workshops included are:

UrbReas 2018: First International Workshop on Urban Reasoning from Complex Challenges in Cities

IWAISe 2018: Second International Workshop on Artificial Intelligence in Security

The 210 full papers presented in these proceedings were carefully reviewed and selected from a total of 869 submissions.

The volumes are organized in topical sections as follows:

Research Track:

Part I: Online learning; reinforcement learning; time series, streams, and sequence models; transfer and multi-task learning; semi-supervised and few-shot learning; learning algorithms and applications.

Part II: Generative models; algorithms and learning theory; graphs and networks; interpretation, explainability, transparency, safety.

Part III: Generative models; search and optimization; supervised learning; text mining and natural language processing; image processing, computer vision and visual analytics.

Applied Data Science Track:

Part IV: Anomaly detection and malware; spatio-temporal data; e-commerce and finance; healthcare and medical applications (including Covid); mobility and transportation.

Part V: Automating machine learning, optimization, and feature engineering; machine learning based simulations and knowledge discovery; recommender systems and behavior modeling; natural language processing; remote sensing, image and video processing; social media.

The multi-volume set LNAI 12975 until 12979 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2021, which was held during September 13-17, 2021. The conference was originally planned to take place in Bilbao, Spain, but changed to an online event due to the COVID-19 pandemic. 

The 210 full papers presented in these proceedings were carefully reviewed and selected from a total of 869 submissions.

The volumes are organized in topical sections as follows:

Research Track:

Part I: Online learning; reinforcement learning; time series, streams, and sequence models; transfer and multi-task learning; semi-supervised and few-shot learning; learning algorithms and applications.

Part II: Generative models; algorithms and learning theory; graphs and networks; interpretation, explainability, transparency, safety.

Part III: Generative models; search and optimization; supervised learning; text mining and natural language processing; image processing, computer vision and visual analytics.

Applied Data Science Track:

Part IV: Anomaly detection and malware; spatio-temporal data; e-commerce and finance; healthcare and medical applications (including Covid); mobility and transportation.

Part V: Automating machine learning, optimization, and feature engineering; machine learning based simulations and knowledge discovery; recommender systems and behavior modeling; natural language processing; remote sensing, image and video processing; social media.

The multi-volume set LNAI 12975 until 12979 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2021, which was held during September 13-17, 2021. The conference was originally planned to take place in Bilbao, Spain, but changed to an online event due to the COVID-19 pandemic. 

The 210 full papers presented in these proceedings were carefully reviewed and selected from a total of 869 submissions.

The volumes are organized in topical sections as follows:

Research Track:

Part I: Online learning; reinforcement learning; time series, streams, and sequence models; transfer and multi-task learning; semi-supervised and few-shot learning; learning algorithms and applications.

Part II: Generative models; algorithms and learning theory; graphs and networks; interpretation, explainability, transparency, safety.

Part III: Generative models; search and optimization; supervised learning; text mining and natural language processing; image processing, computer vision and visual analytics.

Applied Data Science Track:

Part IV: Anomaly detection and malware; spatio-temporal data; e-commerce and finance; healthcare and medical applications (including Covid); mobility and transportation.

Part V: Automating machine learning, optimization, and feature engineering; machine learning based simulations and knowledge discovery; recommender systems and behavior modeling; natural language processing; remote sensing, image and video processing; social media.

Kultur erschafft und kommuniziert sich seit den 1980er Jahren auch in der Volksrepublik China zusehends durch das Fernsehen als Leitmedium von Wissen und Bedeutung. Sie verortet sich in den nationalen Diskursen vor allem im imaginären Spannungsfeld zwischen dem technisch-ökonomischen Dispositiv dieses Mediums und einer vermeintlich eigenen kulturellen Tradition. Die materialreiche Pionierstudie von Stefan Kramer zeigt jedoch ein noch erheblich differenzierteres Bild: Jenseits aller politisch konstruierten Oppositionen von Eigenem und Fremdem sowie von Hegemonie und Widerstand entwickeln die chinesischen Medienteilnehmer immer wieder neue Strategien, mit denen sie ihr lokales Eigenes mit Hilfe des transnationalen Mediendispositivs konstituieren und gegenüber allen hegemonialen Tendenzen behaupten.

Seit den 1990er Jahren ist das Fernsehen in der Volksrepublik China mit seinen 1,3 Milliarden Nutzern unangefochten das wichtigste Medium der Kommunikation von Wissen und Bedeutung. Als importierte Kulturtechnik mit transnational gültigen Anordnungsstrukturen hat es die Bedingungen der Welt- und Selbstwahrnehmung chinesischer Medienteilnehmer neu definiert. Dabei ist es allerdings nicht - wie häufig angenommen - zu einem Verlust nationaler und lokaler Identität gekommen. Vielmehr hat sich das Fernsehdispositiv auf vielfältige Weise mit den vormodernen Anordnungen von Kultur in China verknüpft und einen neuen, dynamischen Raum des Eigenen begründet. Anknüpfend an seine Publikation »Vom Eigenen und Fremden« analysiert der Autor in diskurshistorischen Untersuchungen und empirischen Fallstudien den entscheidenden Teilnehmer an jedem medialen Prozess der Bildung von Wissen und Bedeutung in China: das chinesische Fernsehpublikum.