Search Results for author: Daniel A. Keim

Found 19 papers, 5 papers with code

Introducing the Attribution Stability Indicator: a Measure for Time Series XAI Attributions

1 code implementation6 Oct 2023 Udo Schlegel, Daniel A. Keim

Given the increasing amount and general complexity of time series data in domains such as finance, weather forecasting, and healthcare, there is a growing need for state-of-the-art performance models that can provide interpretable insights into underlying patterns and relationships.

Time Series Time Series Classification +1

Visual Explanations with Attributions and Counterfactuals on Time Series Classification

no code implementations14 Jul 2023 Udo Schlegel, Daniela Oelke, Daniel A. Keim, Mennatallah El-Assady

To further inspect the model decision-making as well as potential data errors, a what-if analysis facilitates hypothesis generation and verification on both the global and local levels.

Decision Making Explainable artificial intelligence +3

A Deep Dive into Perturbations as Evaluation Technique for Time Series XAI

1 code implementation11 Jul 2023 Udo Schlegel, Daniel A. Keim

This paper provides an in-depth analysis of using perturbations to evaluate attributions extracted from time series models.

Explainable artificial intelligence Explainable Artificial Intelligence (XAI) +4

ViNNPruner: Visual Interactive Pruning for Deep Learning

1 code implementation31 May 2022 Udo Schlegel, Samuel Schiegg, Daniel A. Keim

In many cases, such large networks are not deployable on particular hardware and need to be reduced in size.

CorpusVis: Visual Analysis of Digital Sheet Music Collections

no code implementations23 Mar 2022 Matthias Miller, Julius Rauscher, Daniel A. Keim, Mennatallah El-Assady

Manually investigating sheet music collections is challenging for music analysts due to the magnitude and complexity of underlying features, structures, and contextual information.

Time Series Model Attribution Visualizations as Explanations

no code implementations27 Sep 2021 Udo Schlegel, Daniel A. Keim

We collect attribution heatmap visualizations and some alternatives, discuss the advantages as well as disadvantages and give a short position towards future opportunities for attributions and explanations for time series.

Position Time Series +1

TS-MULE: Local Interpretable Model-Agnostic Explanations for Time Series Forecast Models

1 code implementation17 Sep 2021 Udo Schlegel, Duy Vo Lam, Daniel A. Keim, Daniel Seebacher

Time series forecasting is a demanding task ranging from weather to failure forecasting with black-box models achieving state-of-the-art performances.

Time Series Time Series Forecasting

Video-based Analysis of Soccer Matches

no code implementations11 May 2021 Maximilian T. Fischer, Daniel A. Keim, Manuel Stein

With the increasingly detailed investigation of game play and tactics in invasive team sports such as soccer, it becomes ever more important to present causes, actions and findings in a meaningful manner.

MultiSegVA: Using Visual Analytics to Segment Biologging Time Series on Multiple Scales

no code implementations1 Sep 2020 Philipp Meschenmoser, Juri F. Buchmüller, Daniel Seebacher, Martin Wikelski, Daniel A. Keim

To close this gap, we present our MultiSegVA platform for interactively defining segmentation techniques and parameters on multiple temporal scales.

Clustering Segmentation +2

Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters

1 code implementation1 Aug 2019 David Pomerenke, Frederik L. Dennig, Daniel A. Keim, Johannes Fuchs, Michael Blumenschein

Second, we present a novel technique to reduce the effects by rendering the polylines of the parallel coordinates based on their slope: horizontal lines are rendered with the default width, lines with a steep slope with a thinner line.


Visualizing Linguistic Change as Dimension Interactions

no code implementations WS 2019 Christin Sch{\"a}tzle, Frederik L. Dennig, Michael Blumenschein, Daniel A. Keim, Miriam Butt

This paper presents a significant extension of HistoBankVis, a multilayer visualization system which allows a fast and interactive exploration of complex linguistic data.

Progressive Data Science: Potential and Challenges

no code implementations19 Dec 2018 Cagatay Turkay, Nicola Pezzotti, Carsten Binnig, Hendrik Strobelt, Barbara Hammer, Daniel A. Keim, Jean-Daniel Fekete, Themis Palpanas, Yunhai Wang, Florin Rusu

We discuss these challenges and outline first steps towards progressiveness, which, we argue, will ultimately help to significantly speed-up the overall data science process.

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