1,720,961 research outputs found
Words of Welcome by Prof. Dr. Joachim Denzler and Prof. Dr. Markus Reichstein: Slides
Full text linkJoachim Denzler and Markus Reichstein are the founding directors of ELLIS Unit Jena. In this “words of welcome” delivered at “ELLIS Summer School 2025: AI for Earth and Climate Sciences”, the speakers briefly introduce the ELLIS (European Laboratory for Learning and Intelligent Systems) and the activities of the ELLIS Unit Jena to the participants
Words of Welcome by Prof. Dr. Joachim Denzler and Prof. Dr. Markus Reichstein
No full textJoachim Denzler and Markus Reichstein are the founding directors of ELLIS Unit Jena. In this “words of welcome” delivered at “ELLIS Summer School 2025: AI for Earth and Climate Sciences”, they briefly introduce the ELLIS (European Laboratory for Learning and Intelligent Systems) and the activities of the ELLIS Unit Jena to the participants
The Future of Machine Learning
No full textIn this lecture, Joachim introduces the concepts of Machine Learning at ELLIS Summer School: AI for Earth and Climate Sciences (Jena, Germany, September 1-5, 2025). Joachim is a full Professor of Computer Vision at the University of Jena, Germany. He has been the founding Director of the Michael-Stifel-Center Jena for Data-driven and Simulation Science and the recently established ELLIS Unit Jena (www.ellis-jena.ai), as well as the Director of the Institute of Data Science of the German Aerospace Center (DLR). Joachim’s main research interests revolve around the analysis, prediction and understanding of complex dynamical systems, including applications from medicine, psychology and earth system sciences. Fine-grained object classification, active learning and causal inference for time-series analysis are of particular interest. He addresses these topics with the development and application of machine learning methods, including deep learning, and aspects from explainable AI. Joachim is a member of the board of the Thuringia Center for Learning Systems and Robotics (www.tzlr.de) with the mission to transfer research results from AI to industry. Joachim is excited about the potential of using applications as drivers for basic research, especially to contribute to our society’s urgent and pressing problems, like climate change and biodiversity loss. Joachim published more than 500 papers at international conferences and journals with around 10000 citations and an h-index of 54, according to google scholar. He is a PC member and reviewer of major conferences (NeurIPS, ICCV, ECCV, CVPR, ICLR) and Journals (IEEE TPAMI, IJCV, etc.). His group consists of 15 PhD students and receives funding from the German Research Foundation (DFG), Federal Ministry of Science (BMBF), and EU, as well as from industrial projects. He is a member of IEEE and IEEE Computer Society
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Earth Embeddings: Learning Mental Maps in Neural Nets: Slides
No full textWhat makes AI models robust when reasoning about geography, climate, or human activity? While explicit geospatial data—like temperature, precipitation, or land cover—can inform models, it’s often incomplete, sparse, or too coarse to generalize well. Instead, we explore how to create implicit, robust environmental embeddings that capture the complex and diverse character of places directly from imagery. This talk introduces a novel approach to learning these embeddings by training AI to play Satellite GeoGuessr—contrastively learning what makes each location unique through satellite images. We present two complementary methods: First, we introduce location encoders—neural networks that learn to map coordinates to rich geospatial representations, storing knowledge in their weights. Second, we describe SatCLIP Earth Embeddings, which trains image and location encoders jointly to produce embeddings that reflect both the visual and contextual identity of a place
Words of Welcome by Assistant Prof. Dr. Ioannis Papoutsis: Slides
Full text linkIoannis Papoutsis is Co-organizer of ELLIS Summer School: AI for Earth and Climate Sciences (Jena, Germany, September 1-5, 2025), and Head of the OrionLab and Assistant Professor of Artificial Intelligence for Earth Observation at the National Technical University of Athens (NTUA). In these slides, he briefly introduces the activities of his research group at “ELLIS Summer School 2025: AI for Earth and Climate Sciences” and welcomes the participants
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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