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Viewing Publication 1 - 100 from 483

2024

SkiVis: Visual Exploration and Route Planning in Ski ResortsJulius Rauscher, Raphael Buchmüller, Daniel A. Keim, Matthias Miller. tvcg, 30(1):869-879, January 2024. [doi]

2023

Visual Analytics of Co-Occurrences to Discover Subspaces in Structured DataWolfgang Jentner, Giuliana Lindholz, Hanna Hauptmann, Mennatallah El-Assady, Kwan-Liu Ma, Daniel A. Keim. tiis, 13(2), 2023. [doi]

Aesthetic-Driven Navigation for Node-Link Diagrams in VRLucas Joos, Maximilian T. Fischer, Daniel A. Keim, Johannes Fuchs 0001. sui 2023: [doi]

Exploring Trajectory Data in Augmented Reality: A Comparative Study of Interaction ModalitiesLucas Joos, Karsten Klein 0001, Maximilian T. Fischer, Frederik L. Dennig, Daniel A. Keim, Michael Krone. ismar 2023: 790-799 [doi]

VISITOR: Visual Interactive State Sequence Exploration for Reinforcement LearningYannick Metz, Eugene Bykovets, Lucas Joos, Daniel A. Keim, Mennatallah El-Assady. cgf, 42(3):397-408, June 2023. [doi]

A Deep Dive into Perturbations as Evaluation Technique for Time Series XAIUdo Schlegel, Daniel A. Keim. xai 2023: 165-180 [doi]

Investigating the Sketchplan: A Novel Way of Identifying Tactical Behavior in Massive Soccer DatasetsDaniel Seebacher, Tom Polk, Halldor Janetzko, Daniel A. Keim, Tobias Schreck, Manuel Stein. tvcg, 29(4):1920-1936, April 2023. [doi]

Grand Challenges in Visual Analytics ApplicationsAoyu Wu, Dazhen Deng, Min Chen 0001, Shixia Liu, Daniel A. Keim, Ross Maciejewski, Silvia Miksch, Hendrik Strobelt, Fernanda B. Viégas, Martin Wattenberg. cga, 43(5):83-90, September - October 2023. [doi]

2022

Multiscale Visualization: A Structured Literature AnalysisEren Cakmak, Dominik Jäckle, Tobias Schreck, Daniel A. Keim, Johannes Fuchs 0001. tvcg, 28(12):4918-4929, 2022. [doi]

Interactive Visualization for Fostering Trust in ML (Dagstuhl Seminar 22351)Polo Chau, Alex Endert, Daniel A. Keim, Daniela Oelke. dagstuhl-reports, 12(8):103-116, 2022. [doi]

Promoting Ethical Awareness in Communication Analysis: Investigating Potentials and Limits of Visual Analytics for Intelligence ApplicationsMaximilian T. Fischer, Simon David Hirsbrunner, Wolfgang Jentner, Matthias Miller, Daniel A. Keim, Paula Helm. fat 2022: 877-889 [doi]

Visual Comparison of Networks in VRLucas Joos, Sabrina Jaeger-Honz, Falk Schreiber, Daniel A. Keim, Karsten Klein 0001. tvcg, 28(11):3651-3661, 2022. [doi]

Immersive Analytics with Abstract 3D Visualizations: A SurveyMatthias Kraus, Johannes Fuchs 0001, Björn Sommer 0001, Karsten Klein 0001, Ulrich Engelke, Daniel A. Keim, Falk Schreiber. cgf, 41(1):201-229, 2022. [doi]

CorpusVis: Visual Analysis of Digital Sheet Music CollectionsMatthias Miller, Julius Rauscher, Daniel A. Keim, Mennatallah El-Assady. cgf, 41(3):283-294, 2022. [doi]

Augmenting Digital Sheet Music through Visual AnalyticsMatthias Miller, Daniel Fürst, Hanna Hauptmann, Daniel A. Keim, Mennatallah El-Assady. cgf, 41(1):301-316, 2022. [doi]

Machine learning meets visualization - Experiences and lessons learnedQuynh Quang Ngo, Frederik L. Dennig, Daniel A. Keim, Michael Sedlmair. it, 64(4-5):169-180, 2022. [doi]

Visual Exploration of Preference-based Routes in Ski ResortsJulius Rauscher, Matthias Miller, Daniel A. Keim. vissym 2022: 71-73 [doi]

VisInReport: Complementing Visual Discourse Analytics Through Personalized Insight ReportsRita Sevastjanova, Mennatallah El-Assady, Adam Bradley, Christopher Collins 0001, Miriam Butt, Daniel A. Keim. tvcg, 28(12):4757-4769, 2022. [doi]

Task-Based Visual Interactive Modeling: Decision Trees and Rule-Based ClassifiersDirk Streeb, Yannick Metz, Udo Schlegel, Bruno Schneider, Mennatallah El-Assady, Hansjörg Neth, Min Chen 0001, Daniel A. Keim. tvcg, 28(9):3307-3323, 2022. [doi]

2021

SpatialRugs: A compact visualization of space and time for analyzing collective movement dataJuri F. Buchmüller, Udo Schlegel, Eren Cakmak, Daniel A. Keim, Evanthia Dimara. cg, 101:23-34, 2021. [doi]

Spatio-temporal clustering benchmark for collective animal behaviorEren Cakmak, Manuel Plank, Daniel S. Calovi, Alex Jordan, Daniel A. Keim. gis 2021: 5-8 [doi]

Multiscale Snapshots: Visual Analysis of Temporal Summaries in Dynamic GraphsEren Cakmak, Udo Schlegel, Dominik Jäckle, Daniel A. Keim, Tobias Schreck. tvcg, 27(2):517-527, 2021. [doi]

ParSetgnostics: Quality Metrics for Parallel SetsFrederik L. Dennig, Maximilian T. Fischer, Michael Blumenschein, Johannes Fuchs 0001, Daniel A. Keim, Evanthia Dimara. cgf, 40(3):375-386, 2021. [doi]

VulnEx: Exploring Open-Source Software Vulnerabilities in Large Development Organizations to Understand Risk ExposureFrederik L. Dennig, Eren Cakmak, Henrik Plate, Daniel A. Keim. vizsec 2021: 79-83 [doi]

Towards a Survey on Static and Dynamic Hypergraph VisualizationsMaximilian T. Fischer, Alexander Frings, Daniel A. Keim, Daniel Seebacher. visualization 2021: 81-85 [doi]

CommAID: Visual Analytics for Communication Analysis through Interactive Dynamics ModelingMaximilian T. Fischer, Daniel Seebacher, Rita Sevastjanova, Daniel A. Keim, Mennatallah El-Assady. cgf, 40(3):25-36, 2021. [doi]

Visual Analytics for Temporal Hypergraph Model ExplorationMaximilian T. Fischer, Devanshu Arya, Dirk Streeb, Daniel Seebacher, Daniel A. Keim, Marcel Worring. tvcg, 27(2):550-560, 2021. [doi]

The Value of Immersive VisualizationMatthias Kraus, Karsten Klein 0001, Johannes Fuchs 0001, Daniel A. Keim, Falk Schreiber, Michael Sedlmair, Theresa-Marie Rhyne. cga, 41(4):125-132, 2021. [doi]

MultiSegVA: Using Visual Analytics to Segment Biologging Time Series on Multiple ScalesPhilipp Meschenmoser, Juri F. Buchmüller, Daniel Seebacher, Martin Wikelski, Daniel A. Keim. tvcg, 27(2):1623-1633, 2021. [doi]

TS-MULE: Local Interpretable Model-Agnostic Explanations for Time Series Forecast ModelsUdo Schlegel, Duy Vo Lam, Daniel A. Keim, Daniel Seebacher. pkdd 2021: 5-14 [doi]

Integrating Data and Model Space in Ensemble Learning by Visual AnalyticsBruno Schneider, Dominik Jäckle, Florian Stoffel, Alexandra Diehl, Johannes Fuchs 0001, Daniel A. Keim. tbd, 7(3):483-496, 2021. [doi]

Visual Analysis of Spatio-Temporal Event Predictions: Investigating the Spread Dynamics of Invasive SpeciesDaniel Seebacher, Johannes Häußler, Michael Hundt, Manuel Stein, Hannes Müller, Ulrich Engelke, Daniel A. Keim. tbd, 7(3):497-509, 2021. [doi]

Co-adaptive visual data analysis and guidance processesFabian Sperrle, Astrik Jeitler, Jürgen Bernard, Daniel A. Keim, Mennatallah El-Assady. cg, 100:93-105, 2021. [doi]

Learning Contextualized User Preferences for Co-Adaptive Guidance in Mixed-Initiative Topic Model RefinementFabian Sperrle, Hanna Schäfer, Daniel A. Keim, Mennatallah El-Assady. cgf, 40(3):215-226, 2021. [doi]

A Survey of Human-Centered Evaluations in Human-Centered Machine LearningFabian Sperrle, Mennatallah El-Assady, Grace Guo, R. Borgo, Duen Horng Chau, Alex Endert, Daniel A. Keim. cgf, 40(3):543-567, 2021. [doi]

Speculative Execution of Similarity Queries: Real-Time Parameter Optimization through Visual ExplorationThilo Spinner, Udo Schlegel, Martin Schall, Fabian Sperrle, Rita Sevastjanova, Beatrice Gobbo, Julius Rauscher, Mennatallah El-Assady, Daniel A. Keim. edbt 2021: [doi]

Why Visualize? Untangling a Large Network of ArgumentsDirk Streeb, Mennatallah El-Assady, Daniel A. Keim, Min Chen 0001. tvcg, 27(3):2220-2236, 2021. [doi]

Why Visualize? Arguments for Visual Support in Decision MakingDirk Streeb, Mennatallah El-Assady, Daniel A. Keim, Min Chen 0001, Andre Stork, Rahul C. Basole. cga, 41(2):17-22, 2021. [doi]

2020

Teaching Clustering Algorithms With EduClust: Experience Report and Future DirectionsJohannes Fuchs 0001, Petra Isenberg, Anastasia Bezerianos, Matthias Miller, Daniel A. Keim, Beatriz Sousa Santos, Ginger Alford. cga, 40(2):98-102, 2020. [doi]

v-plots: Designing Hybrid Charts for the Comparative Analysis of Data DistributionsMichael Blumenschein, Luka J. Debbeler, Nadine C. Lages, Britta Renner, Daniel A. Keim, Mennatallah El-Assady. cgf, 39(3):565-577, 2020. [doi]

Evaluating Reordering Strategies for Cluster Identification in Parallel CoordinatesMichael Blumenschein, Xuan Zhang, David Pomerenke, Daniel A. Keim, Johannes Fuchs 0001. cgf, 39(3):537-549, 2020. [doi]

SpatialRugs: Enhancing Spatial Awareness of Movement in Dense Pixel VisualizationsJuri F. Buchmüller, Udo Schlegel, Eren Cakmak, Daniel A. Keim, Evanthia Dimara. eurova-ws 2020: 1-5 [doi]

MotionGlyphs: Visual Abstraction of Spatio-Temporal Networks in Collective Animal BehaviorEren Cakmak, Hanna Schäfer, Juri Buchmüller, Johannes Fuchs 0001, Tobias Schreck, A. Jordan, Daniel A. Keim. cgf, 39(3):63-75, 2020. [doi]

Semantic Concept Spaces: Guided Topic Model Refinement using Word-Embedding ProjectionsMennatallah El-Assady, Rebecca Kehlbeck, Christopher Collins 0001, Daniel A. Keim, Oliver Deussen. tvcg, 26(1):1001-1011, 2020. [doi]

Toward Mass Video Data Analysis: Interactive and Immersive 4D Scene ReconstructionMatthias Kraus, Thomas Pollok, Matthias Miller, Timon Urs Kilian, Tobias Moritz, Daniel Schweitzer, Jürgen Beyerer, Daniel A. Keim, Chengchao Qu, Wolfgang Jentner. sensors, 20(18):5426, 2020. [doi]

The Impact of Immersion on Cluster Identification TasksMatthias Kraus, Niklas Weiler, Daniela Oelke, Johannes Kehrer, Daniel A. Keim, Johannes Fuchs 0001. tvcg, 26(1):525-535, 2020. [doi]

Assessing 2D and 3D Heatmaps for Comparative Analysis: An Empirical StudyMatthias Kraus, Katrin Angerbauer, Juri Buchmüller, Daniel Schweitzer, Daniel A. Keim, Michael Sedlmair, Johannes Fuchs 0001. CHI 2020: 1-14 [doi]

A Comparative Study of Orientation Support Tools in Virtual Reality Environments with Virtual TeleportationMatthias Kraus, Hanna Schäfer, Philipp Meschenmoser, Daniel Schweitzer, Daniel A. Keim, Michael Sedlmair, Johannes Fuchs 0001. ismar 2020: 227-238 [doi]

Quality Metrics for Symmetric Graph DrawingsAmyra Meidiana, Seok-Hee Hong, Peter Eades, Daniel A. Keim. apvis 2020: 11-15 [doi]

Interactive Visualization for Fostering Trust in AI (Dagstuhl Seminar 20382)Daniela Oelke, Daniel A. Keim, Polo Chau, Alex Endert. dagstuhl-reports, 10(4):37-42, 2020. [doi]

ModelSpeX: Model Specification Using Explainable Artificial Intelligence MethodsUdo Schlegel, Eren Cakmak, Daniel A. Keim. mlvis-ws 2020: 7-11 [doi]

Towards visual debugging for multi-target time series classificationUdo Schlegel, Eren Cakmak, Hiba Arnout, Mennatallah El-Assady, Daniela Oelke, Daniel A. Keim. IUI 2020: 202-206 [doi]

DataShiftExplorer: Visualizing and Comparing Change in Multidimensional Data for Supervised LearningBruno Schneider, Daniel A. Keim, Mennatallah El-Assady. grapp 2020: 141-148 [doi]

Learning and Teaching in Co-Adaptive Guidance for Mixed-Initiative Visual AnalyticsFabian Sperrle, Astrik Jeitler, Jürgen Bernard, Daniel A. Keim, Mennatallah El-Assady. eurova-ws 2020: 61-65 [doi]

2019

EduClust - A Visualization Application for Teaching Clustering AlgorithmsJohannes Fuchs 0001, Petra Isenberg, Anastasia Bezerianos, Matthias Miller, Daniel A. Keim. eurographics 2019: 9-16 [doi]

Commercial Visual Analytics Systems-Advances in the Big Data Analytics FieldMichael Behrisch 0001, Dirk Streeb, Florian Stoffel, Daniel Seebacher, Brian Matejek, Stefan Hagen Weber, Sebastian Mittelstädt, Hanspeter Pfister, Daniel A. Keim. tvcg, 25(10):3011-3031, 2019. [doi]

Tiled Stereoscopic 3D Display Wall - Concept, Applications and EvaluationBjörn Sommer 0001, Alexandra Diehl, Michael Aichem, Philipp Meschenmoser, Kim Rehberg, David Weber, Ying Zhang, Karsten Klein 0001, Daniel A. Keim, Falk Schreiber. ei-sda 2019: 1-15 [doi]

SurgeryCuts: Embedding Additional Information in Maps without Occluding FeaturesMarco Angelini, Juri Buchmüller, Daniel A. Keim, Philipp Meschenmoser, Giuseppe Santucci. cgf, 38(3):237-247, 2019. [doi]

Towards A Rigorous Evaluation Of XAI Methods On Time SeriesHiba Arnout, Mennatallah El-Assady, Daniela Oelke, Daniel A. Keim. iccvw 2019: 4197-4201 [doi]

Moving Together: Towards a Formalization of Collective MovementJuri Buchmüller, Eren Cakmak, Natalia V. Andrienko, Gennady L. Andrienko, Jolle W. Jolles, Daniel A. Keim. vissym 2019: 37-41 [doi]

MotionRugs: Visualizing Collective Trends in Space and TimeJuri Buchmüller, Dominik Jäckle, Eren Cakmak, Ulrik Brandes, Daniel A. Keim. tvcg, 25(1):76-86, 2019. [doi]

lingvis.io - A Linguistic Visual Analytics FrameworkMennatallah El-Assady, Wolfgang Jentner, Fabian Sperrle, Rita Sevastjanova, Annette Hautli-Janisz, Miriam Butt, Daniel A. Keim. acl 2019: 13-18 [doi]

Visual Analytics for Topic Model Optimization based on User-Steerable Speculative ExecutionMennatallah El-Assady, Fabian Sperrle, Oliver Deussen, Daniel A. Keim, Christopher Collins. tvcg, 25(1):374-384, 2019. [doi]

Video-based Analysis of Soccer MatchesMaximilian T. Fischer, Daniel A. Keim, Manuel Stein. mm 2019: 1-9 [doi]

RescueMark: Visual Analytics of Social Media Data for Guiding Emergency Response in Disaster Situations: Award for Skillful Integration of Language ModelAstrik Jeitler, Alpin Türkoglu, Denis Makarov, Timo Jockers, Juri Buchmüller, Udo Schlegel, Daniel A. Keim. ieeevast 2019: 120-121 [doi]

Comparative Analysis with Heightmaps in Virtual Reality EnvironmentsMatthias Kraus, Juri Buchmüller, Daniel Schweitzer, Daniel A. Keim, Johannes Fuchs 0001. vissym 2019: 97-99 [doi]

Breaking the Curse of Visual Data Exploration: Improving Analyses by Building Bridges between Data World and Real WorldMatthias Kraus, Niklas Weiler, Thorsten Breitkreutz, Daniel A. Keim, Manuel Stein. grapp 2019: 19-27 [doi]

Breaking the Curse of Visual Analytics: Accommodating Virtual Reality in the Visualization PipelineMatthias Kraus, Matthias Miller, Juri Buchmüller, Manuel Stein, Niklas Weiler, Daniel A. Keim, Mennatallah El-Assady. grapp 2020: 253-284 [doi]

Bridging Text Visualization and Mining: A Task-Driven SurveyShixia Liu, Xiting Wang, Christopher Collins, Wenwen Dou, Fang-Xin Ou-Yang, Mennatallah El-Assady, Liu Jiang, Daniel A. Keim. tvcg, 25(7):2482-2504, 2019. [doi]

Earthquake Investigation and Visual Cognizance of Multivariate Temporal Tabular Data Using Machine LearningArjun Majumdar, Gent Ymeri, Sebastian Strumbelj, Juri Buchmüller, Udo Schlegel, Daniel A. Keim. ieeevast 2019: 136-137 [doi]

A Quality Metric for Visualization of Clusters in GraphsAmyra Meidiana, Seok-Hee Hong, Peter Eades, Daniel A. Keim. gd 2019: 125-138 [doi]

Regulation-Oriented Filtering in Web-Based Air Traffic ExplorationPhilipp Meschenmoser, Juri Buchmüller, Daniel A. Keim. opensky 2019: 144-155 [doi]

cpmViz: A Web-Based Visualization Tool for Uncertain Spatiotemporal DataFabian Nagel, Giuliano Castiglia, Gemza Ademaj, Juri Buchmüller, Udo Schlegel, Daniel A. Keim. ieeevast 2019: 140-141 [doi]

Computer vision meets visual analytics: Enabling 4D crime scene investigation from image and video dataThomas Pollok, Matthias Kraus, Chengchao Qu, Matthias Miller, Tobias Moritz, Timon Urs Kilian, Daniel A. Keim, Wolfgang Jentner. icdp 2019: 44-49 [doi]

Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost ClustersDavid Pomerenke, Frederik L. Dennig, Daniel A. Keim, Johannes Fuchs 0001, Michael Blumenschein. visualization 2019: 86-90 [doi]

VIS4ML: An Ontology for Visual Analytics Assisted Machine LearningDominik Sacha, Matthias Kraus, Daniel A. Keim, Min Chen. tvcg, 25(1):385-395, 2019. [doi]

Visual Analytics for Supporting Conflict Resolution in Large Railway NetworksUdo Schlegel, Wolfgang Jentner, Juri Buchmüller, Eren Cakmak, Giuliano Castiglia, Renzo Canepa, Simone Petralli, Luca Oneto, Daniel A. Keim, Davide Anguita. inns 2020: 206-215 [doi]

Visualizing Linguistic Change as Dimension InteractionsChristin Schätzle, Frederik L. Dennig, Michael Blumenschein, Daniel A. Keim, Miriam Butt. acl-lchange 2019: 272-278 [doi]

Visual Analytics of Volunteered Geographic Information: Detection and Investigation of Urban Heat IslandsDaniel Seebacher, Matthias Miller, Tom Polk, Johannes Fuchs 0001, Daniel A. Keim. cga, 39(5):83-95, 2019. [doi]

Visual Analytics of Conversational DynamicsDaniel Seebacher, Maximilian T. Fischer, Rita Sevastjanova, Daniel A. Keim, Mennatallah El-Assady. vissym 2019: 83-87 [doi]

Tackling Similarity Search for Soccer Match Analysis: Multimodal Distance Measure and Interactive Query DefinitionManuel Stein, Halldór Janetzko, Tobias Schreck, Daniel A. Keim. cga, 39(5):60-71, 2019. [doi]

From Movement to Events: Improving Soccer Match AnnotationsManuel Stein, Daniel Seebacher, Tassilo Karge, Tom Polk, Michael Grossniklaus, Daniel A. Keim. mmm 2019: 130-142 [doi]

2018

Viewing Visual Analytics as Model BuildingNatalia V. Andrienko, Tim Lammarsch, Gennady L. Andrienko, Georg Fuchs, Daniel A. Keim, Silvia Miksch, Alexander Rind. cgf, 37(6):275-299, 2018. [doi]

SMARTexplore: Simplifying High-Dimensional Data Analysis through a Table-Based Visual Analytics ApproachMichael Blumenschein, Michael Behrisch 0001, Stefanie Schmid, Simon Butscher, Deborah R. Wahl, Karoline Villinger, Britta Renner, Harald Reiterer, Daniel A. Keim. ieeevast 2018: 36-47 [doi]

Interactive Webtool for Tempospatial Data and Visual Audio Analysis : VAST Challenge 2018: Honorable Mention for Interactive Analytic ToolBenedikt Bäumle, Ina Boesecke, Raphael Buchmüller, Yannick Metz, Juri Buchmüller, Eren Cakmak, Wolfgang Jentner, Daniel A. Keim. ieeevast 2018: 96-97 [doi]

Time Series Projection to Highlight Trends and OutliersEren Cakmak, Daniel Seebacher, Juri Buchmüller, Daniel A. Keim. ieeevast 2018: 104-105 [doi]

Interactive Classification Using Spectrograms and Audio GlyphsEren Cakmak, Udo Schlegel, Matthias Miller, Juri Buchmüller, Wolfgang Jentner, Daniel A. Keim. ieeevast 2018: 110-111 [doi]

VisGuides: A Forum for Discussing Visualization GuidelinesAlexandra Diehl, Alfie Abdul-Rahman, Mennatallah El-Assady, Benjamin Bach, Daniel A. Keim, Min Chen. vissym 2018: 61-65 [doi]

SocialOcean: Visual Analysis and Characterization of Social Media BubblesAlexandra Diehl, Michael Hundt, Johannes Häussler, Daniel Seebacher, Siming Chen, Nida Cilasun, Daniel A. Keim, Tobias Schreck. bdva 2018: 1-11 [doi]

Progressive Learning of Topic Modeling Parameters: A Visual Analytics FrameworkMennatallah El-Assady, Rita Sevastjanova, Fabian Sperrle, Daniel A. Keim, Christopher Collins. tvcg, 24(1):382-391, 2018. [doi]

ThreadReconstructor: Modeling Reply-Chains to Untangle Conversational Text through Visual AnalyticsMennatallah El-Assady, Rita Sevastjanova, Daniel A. Keim, Christopher Collins. cgf, 37(3):351-365, 2018. [doi]

Making machine intelligence less scary for criminal analysts: reflections on designing a visual comparative case analysis toolWolfgang Jentner, Dominik Sacha, Florian Stoffel, Geoffrey P. Ellis, Leishi Zhang, Daniel A. Keim. vc, 34(9):1225-1241, 2018. [doi]

Provenance-Based Visual Data Exploration with EVLINHoussem Ben Lahmar, Melanie Herschel, Michael Blumenschein, Daniel A. Keim. edbt 2018: 686-689 [doi]

An Adaptive Image-based Plagiarism Detection ApproachNorman Meuschke, Christopher Gondek, Daniel Seebacher, Corinna Breitinger, Daniel A. Keim, Bela Gipp. JCDL 2018: 131-140 [doi]

Identifying Patterns and Anomalies within Spatiotemporal Water Sampling Data : VAST Challenge 2018: Award for Elegant Design of an Interactive DisplayIsabel Piljek, Giuliana Dehn, Jannik Frauendorf, Ziad Salem, Yerzhan Niyazbayev, Juri Buchmüller, Eren Cakmak, Wolfgang Jentner, Florian Stoffel, Daniel A. Keim. ieeevast 2018: 98-99 [doi]

SOMFlow: Guided Exploratory Cluster Analysis with Self-Organizing Maps and Analytic ProvenanceDominik Sacha, Matthias Kraus, Jürgen Bernard, Michael Behrisch, Tobias Schreck, Yuki Asano, Daniel A. Keim. tvcg, 24(1):120-130, 2018. [doi]

G-Rap: interactive text synthesis using recurrent neural network suggestionsUdo Schlegel, Eren Cakmak, Juri Buchmüller, Daniel A. Keim. esann 2018: [doi]

Urban Mobility Analysis With Mobile Network Data: A Visual Analytics ApproachHansi Senaratne, Manuel Müller, Michael Behrisch, Felipe Lalanne, Javier Bustos-Jiménez, Jörn Schneidewind, Daniel A. Keim, Tobias Schreck. tits, 19(5):1537-1546, 2018. [doi]

polimaps: Supporting Predictive Policing with Visual AnalyticsFlorian Stoffel, Hanna Post, Marcus Stewen, Daniel A. Keim. vissym 2018: 43-47 [doi]

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