Mike Sips

45 papers A* 1B 3C 1Misc 2Journal 17Unranked 17
YearRankTypeTitle / Venue / Authors
2024 — conf
HPExplorer: XAI Method to Explore the Relationship Between Hyperparameters and Model Performance.
ECML/PKDD (9)
Yulia Grushetskaya, Mike Sips, Reyko Schachtschneider, Mohammadmehdi Saberioon, Akram Mahan
2024 J jnl
PyRQA - Conducting Recurrence Quantification Analysis on Very Long Time Series Efficiently.
CoRR
Tobias Rawald, Mike Sips, Norbert Marwan
2023 J jnl
F4ESS - a framework for interdisciplinary data-driven earth system science.
Int. J. Digit. Earth
Doris Dransch, Daniel Eggert, Mike Sips
2023 — conf
MultiSat4Slows System for Detecting and Assessing Potentially Active Landslide Regions - Initial Results from an Ongoing Interdisciplinary Collaboration.
EnvirVis@EuroVis
Mike Sips, Magdalena Vassileva, Daniel Eggert, Mahdi Motagh
2022 J jnl
DASF: A data analytics software framework for distributed environments.
J. Open Source Softw.
Daniel Eggert, Mike Sips, Philipp S. Sommer, Doris Dransch
2018 J jnl
Understanding a Sequence of Sequences: Visual Exploration of Categorical States in Lake Sediment Cores.
IEEE Trans. Vis. Comput. Graph.
Andrea Unger, Nadine Drager, Mike Sips, Dirk J. Lehmann
2018 — ch.
Visual Clustering.
Encyclopedia of Database Systems (2nd ed.)
Mike Sips
2017 J jnl
PyRQA - Conducting recurrence quantification analysis on very long time series efficiently.
Comput. Geosci.
Tobias Rawald, Mike Sips, Norbert Marwan
2016 J jnl
Toward a Visual Analytics Approach to Support Multi-Sensor Analysis in Remote Sensing Science.
Datenbank-Spektrum
Mike Sips, Patrick Köthur, Daniel Eggert
2016 — conf
Towards Visual Analytics for Multi-Sensor Analysis of Remote Sensing Archives.
EnvirVis@EuroVis
Daniel Eggert, Mike Sips, Patrick Köthur
2016 — conf
Visual Analytics for Persistent Scatterer Interferometry: First Steps and Future Challenges.
EuroVA@EuroVis
Patrick Köthur, Daniel Eggert, Andreas Schenk, Mike Sips
2015 — conf
Massively Parallel Analysis of Similarity Matrices on Heterogeneous Hardware.
EDBT/ICDT Workshops
Tobias Rawald, Mike Sips, Norbert Marwan, Ulf Leser
2015 — conf
Towards Interactive Definition of Fast Surrogate Models for Geochemical Simulations Using Visual Analysis.
EnvirVis@EuroVis
Janis Jatnieks, Mike Sips, Marco De Lucia, Doris Dransch
2015 J jnl
Visual Analytics for Correlation-Based Comparison of Time Series Ensembles.
Comput. Graph. Forum
Patrick Köthur, Carl Witt, Mike Sips, Norbert Marwan, Stefan Schinkel, Doris Dransch
2014 — conf
An Interactive Visualization Approach to Explore Mass Variations in the Earth System.
EnvirVis@EuroVis
Tobias Rawald, Mike Sips, Ingo Sasgen, Doris Dransch
2014 J jnl
Interactive visual summaries for detection and assessment of spatiotemporal patterns in geospatial time series.
Inf. Vis.
Patrick Köthur, Mike Sips, Andrea Unger, Julian Kuhlmann, Doris Dransch
2014 J jnl
Visual Analytics for Comparison of Ocean Model Output with Reference Data: Detecting and Analyzing Geophysical Processes Using Clustering Ensembles.
IEEE Trans. Vis. Comput. Graph.
Patrick Köthur, Mike Sips, Henryk Dobslaw, Doris Dransch
2013 J jnl
Perceptually Driven Visibility Optimization for Categorical Data Visualization.
IEEE Trans. Vis. Comput. Graph.
Sungkil Lee, Mike Sips, Hans-Peter Seidel
2012 J jnl
A Visual Analytics Approach to Multiscale Exploration of Environmental Time Series.
IEEE Trans. Vis. Comput. Graph.
Mike Sips, Patrick Köthur, Andrea Unger, Hans-Christian Hege, Doris Dransch
2012 — conf
Visualization of Geospatial Time Series from Environmental Modeling Output.
EuroVis (Short Papers)
Patrick Köthur, Mike Sips, Julian Kuhlmann, Doris Dransch
2011 — conf
Supporting Display Scalability by Redundant Mapping.
ISVC (1)
Axel Radloff, Martin Luboschik, Mike Sips, Heidrun Schumann
2009 — conf
Interactive Exploration of the Network Behavior of Personal Machines.
Visualization and Monitoring of Network Traffic
Mike Sips, Sascha Simon, John Gerth
2009 J jnl
Selecting good views of high-dimensional data using class consistency.
Comput. Graph. Forum
Mike Sips, Boris Neubert, John P. Lewis, Pat Hanrahan
2009 — ch.
Visual Clustering.
Encyclopedia of Database Systems
Mike Sips
2007 J jnl
An automated approach for the optimization of pixel-based visualizations.
Inf. Vis.
Jörn Schneidewind, Mike Sips, Daniel A. Keim
2007 J jnl
Highlighting space-time patterns: Effective visual encodings for interactive decision-making.
Int. J. Geogr. Inf. Sci.
Mike Sips, Jörn Schneidewind, Daniel A. Keim
2006 — —
Pixel-based visual data mining in large geo-spatial point sets.
Mike Sips
2006 — conf
Pixnostics: Towards Measuring the Value of Visualization.
IEEE VAST
Jörn Schneidewind, Mike Sips, Daniel A. Keim
2006 — conf
Scalable Pixel Based Visual Data Exploration.
VIEW
Daniel A. Keim, Jörn Schneidewind, Mike Sips
2006 C conf
Scalable Pixel-based Visual Interfaces: Challenges and Solutions.
IV
Mike Sips, Jörn Schneidewind, Daniel A. Keim, Heidrun Schumann
2006 B conf
Task-at-hand interface for change detection in stock market data.
AVI
Carmen Sanz Merino, Mike Sips, Daniel A. Keim, Christian Panse, Robert Spence
2006 J jnl
Visualization of Geo-spatial Point Sets via Global Shape Transformation and Local Pixel Placement.
IEEE Trans. Vis. Comput. Graph.
Christian Panse, Mike Sips, Daniel A. Keim, Stephen C. North
2005 B conf
Mail Explorer - Spatial and Temporal Exploration of Electronic Mail.
EuroVis
Daniel A. Keim, Florian Mansmann, Christian Panse, Jörn Schneidewind, Mike Sips
2005 — ch.
Visual Data-Mining Techniques An earlier version of this paper with focus on visualization techniques and their classification has been published in Visual Data Analysis: An Introduction (D. Hand and M. Berthold, Eds.).
The Visualization Handbook
Daniel A. Keim, Mike Sips, Mihael Ankerst
2004 Misc conf
Analyzing Large Collections of Email.
IKE
Daniel A. Keim, Christian Panse, Jörn Schneidewind, Mike Sips
2004 B conf
CircleView: a new approach for visualizing time-related multidimensional data sets.
AVI
Daniel A. Keim, Jörn Schneidewind, Mike Sips
2004 — conf
Exploring and Visualizing the History of InfoVis.
INFOVIS
Daniel A. Keim, Helmut Barro, Christian Panse, Jörn Schneidewind, Mike Sips
2004 — conf
Finding Spatial Patterns in Network Data.
PaRMa
Roland Heilmann, Daniel A. Keim, Christian Panse, Jörn Schneidewind, Mike Sips
2004 — conf
Geo-Spatial Data Viewer: From Familiar Land-covering to Arbitrary Distorted Geo-Spatial Quadtree Maps.
WSCG
Daniel A. Keim, Christian Panse, Jörn Schneidewind, Mike Sips
2004 J jnl
Pixel based visual data mining of geo-spatial data.
Comput. Graph.
Daniel A. Keim, Christian Panse, Mike Sips, Stephen C. North
2004 — conf
RecMap: Rectangular Map Approximations.
INFOVIS
Roland Heilmann, Daniel A. Keim, Christian Panse, Mike Sips
2004 J jnl
Visual Data Mining in Large Geospatial Point Sets.
IEEE Computer Graphics and Applications
Daniel A. Keim, Christian Panse, Mike Sips, Stephen C. North
2003 A* conf
PixelMaps: A New Visual Data Mining Approach for Analyzing Large Spatial Data Sets.
ICDM
Daniel A. Keim, Christian Panse, Mike Sips, Stephen C. North
2003 Misc conf
Pushing the Limit in Visual Data Exploration: Techniques and Applications.
KI
Daniel A. Keim, Christian Panse, Jörn Schneidewind, Mike Sips, Ming C. Hao, Umeshwar Dayal
2003 — conf
Visual Data Mining of Large Spatial Data Sets.
DNIS
Daniel A. Keim, Christian Panse, Mike Sips