Search Results for author: Torsten Möller

Found 7 papers, 0 papers with code

Information That Matters: Exploring Information Needs of People Affected by Algorithmic Decisions

no code implementations24 Jan 2024 Timothée Schmude, Laura Koesten, Torsten Möller, Sebastian Tschiatschek

Explanations of AI systems rarely address the information needs of people affected by algorithmic decision-making (ADM).

Decision Making

Applying Interdisciplinary Frameworks to Understand Algorithmic Decision-Making

no code implementations26 May 2023 Timothée Schmude, Laura Koesten, Torsten Möller, Sebastian Tschiatschek

We argue that explanations for "algorithmic decision-making" (ADM) systems can profit by adopting practices that are already used in the learning sciences.

Decision Making

FuNNscope: Visual microscope for interactively exploring the loss landscape of fully connected neural networks

no code implementations9 Apr 2022 Aleksandar Doknic, Torsten Möller

Despite their effective use in various fields, many aspects of neural networks are poorly understood.

Document Domain Randomization for Deep Learning Document Layout Extraction

no code implementations20 May 2021 Meng Ling, Jian Chen, Torsten Möller, Petra Isenberg, Tobias Isenberg, Michael Sedlmair, Robert S. Laramee, Han-Wei Shen, Jian Wu, C. Lee Giles

We present document domain randomization (DDR), the first successful transfer of convolutional neural networks (CNNs) trained only on graphically rendered pseudo-paper pages to real-world document segmentation.

Document Layout Analysis

The $ρ$ Oph region revisited with Gaia EDR3

no code implementations28 Jan 2021 Natalie Grasser, Sebastian Ratzenböck, João Alves, Josefa Großschedl, Stefan Meingast, Catherine Zucker, Alvaro Hacar, Charles Lada, Alyssa Goodman, Marco Lombardi, John C. Forbes, Immanuel M. Bomze, Torsten Möller

Finally, we flag 17 sources in the literature as impostors, which are sources that exhibit large deviations from the average distance and proper motion properties of the $\rho$ Oph population.

Solar and Stellar Astrophysics Astrophysics of Galaxies

VIS30K: A Collection of Figures and Tables from IEEE Visualization Conference Publications

no code implementations22 Dec 2020 Jian Chen, Meng Ling, Rui Li, Petra Isenberg, Tobias Isenberg, Michael Sedlmair, Torsten Möller, Robert S. Laramee, Han-Wei Shen, Katharina Wünsche, Qiru Wang

We present the VIS30K dataset, a collection of 29, 689 images that represents 30 years of figures and tables from each track of the IEEE Visualization conference series (Vis, SciVis, InfoVis, VAST).

embComp: Visual Interactive Comparison of Vector Embeddings

no code implementations5 Nov 2019 Florian Heimerl, Christoph Kralj, Torsten Möller, Michael Gleicher

Summarizing these local metrics over the embeddings provides global overviews of similarities and differences.

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