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ORCIDEduardo E. Veas
Eduardo Enrique Veas
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- affiliation: Graz University of Technology, Austria
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2020 – today
- 2024
[j15]Neven Abdelaziz Mohamed ElSayed, Eduardo Enrique Veas, Dieter Schmalstieg:
Agents of MASK: Mobile Analytics from Situated Knowledge. Interactions 31(1): 48-55 (2024)- [j14]Saugata Biswas
, Ernst Kruijff, Eduardo E. Veas:
View recommendation for multi-camera demonstration-based training. Multim. Tools Appl. 83(7): 21765-21800 (2024) - [c64]Tomislav Duricic, Peter Müllner, Nicole Weidinger, Neven A. M. ElSayed, Dominik Kowald, Eduardo E. Veas:
AI-Powered Immersive Assistance for Interactive Task Execution in Industrial Environments. ECAI 2024: 4491-4494 - [c63]Tristan Repolusk, Eduardo E. Veas:
The KuiSCIMA Dataset for Optical Music Recognition of Ancient Chinese Suzipu Notation. ICDAR (6) 2024: 38-54 - [c62]Ilija Simic, Santokh Singh, Christian Partl, Eduardo E. Veas, Vedran Sabol:
XAIVIER: Time Series Classifier Verification with Faithful Explainable AI. IUI Companion 2024: 33-36 - [i6]Tomislav Duricic, Peter Müllner, Nicole Weidinger, Neven A. M. ElSayed, Dominik Kowald, Eduardo E. Veas:
AI-Powered Immersive Assistance for Interactive Task Execution in Industrial Environments. CoRR abs/2407.09147 (2024) - [i5]Adrian Remonda, Nicklas Hansen, Ayoub Raji, Nicola Musiu, Marko Bertogna, Eduardo E. Veas, Xiaolong Wang:
A Simulation Benchmark for Autonomous Racing with Large-Scale Human Data. CoRR abs/2407.16680 (2024) - 2023
- [c61]Michael Wimmer, Nicole Weidinger, Eduardo E. Veas, Gernot R. Müller-Putz:
Neural and Pupillometric Correlates of Error Perception in an Immersive VR Flight Simulation. EMBC 2023: 1-4 - [c60]Michael Wimmer, Nicole Weidinger, Neven A. M. El Sayed, Gernot R. Müller-Putz, Eduardo E. Veas:
EEG-Based Error Detection Can Challenge Human Reaction Time in a VR Navigation Task. ISMAR 2023: 970-979 - [c59]Reihaneh Manteghi, Eduardo Enrique Veas:
Intelligent User Interface for Decision Support in Drug Development. IUI Companion 2023: 214-219 - [c58]Nicole Weidinger, Neven A. M. El Sayed, Granit Luzhnica, Tobias Schreck, Eduardo E. Veas:
Immersive Analysis of Spatiotemporal Racing Data. SUI 2023: 26:1-26:12 - 2022
- [j13]Jorge L. Guerra, Carlos Adrián Catania, Eduardo E. Veas:
Datasets are not enough: Challenges in labeling network traffic. Comput. Secur. 120: 102810 (2022) - [j12]Granit Luzhnica, Eduardo E. Veas:
A Visualisation Driven Training for Vibrotactile Skin Reading. IEEE Trans. Haptics 15(1): 103-108 (2022) - [c57]Granit Luzhnica, Aleksandra Krajnc, Eduardo E. Veas:
Exploring Feedback-based Testing Effects for Skin Reading. AHs 2022: 212-217 - [c56]Ilija Simic, Vedran Sabol, Eduardo E. Veas:
Perturbation Effect: A Metric to Counter Misleading Validation of Feature Attribution. CIKM 2022: 1798-1807 - 2021
- [c55]Jeremy Chan, Eduardo E. Veas, Jörg Simon:
Designing a Sensor Glove Using Deep Learning. IUI 2021: 150-160 - [i4]Adrian Remonda, Sarah Krebs, Eduardo E. Veas, Granit Luzhnica, Roman Kern:
Formula RL: Deep Reinforcement Learning for Autonomous Racing using Telemetry Data. CoRR abs/2104.11106 (2021) - [i3]Adrian Remonda, Eduardo E. Veas, Granit Luzhnica:
Acting upon Imagination: when to trust imagined trajectories in model based reinforcement learning. CoRR abs/2105.05716 (2021) - [i2]Ilija Simic, Vedran Sabol, Eduardo E. Veas:
XAI Methods for Neural Time Series Classification: A Brief Review. CoRR abs/2108.08009 (2021) - [i1]Jorge L. Guerra, Carlos Adrián Catania, Eduardo E. Veas:
Datasets are not Enough: Challenges in Labeling Network Traffic. CoRR abs/2110.05977 (2021) - 2020
- [j11]Carla Barreiros, Viktoria Pammer-Schindler, Eduardo E. Veas:
Planting the Seed of Positive Human-IoT Interaction. Int. J. Hum. Comput. Interact. 36(4): 355-372 (2020) - [j10]Cecilia di Sciascio, Peter Brusilovsky, Christoph Trattner, Eduardo E. Veas:
A Roadmap to User-Controllable Social Exploratory Search. ACM Trans. Interact. Intell. Syst. 10(1): 8:1-8:38 (2020) - [c54]Carla Barreiros, Nelson Silva, Viktoria Pammer-Schindler, Eduardo E. Veas:
Nature at Your Service - Nature Inspired Representations Combined with Eye-gaze Features to Infer User Attention and Provide Contextualized Support. HCI (34) 2020: 258-270 - [c53]Cecilia di Sciascio, Eduardo E. Veas, Jordan Barria-Pineda, Colleen Culley:
Understanding the effects of control and transparency in searching as learning. IUI 2020: 498-509
2010 – 2019
- 2019
- [j9]Jorge L. Guerra, Carlos Adrián Catania, Eduardo E. Veas:
Active learning approach to label network traffic datasets. J. Inf. Secur. Appl. 49 (2019) - [j8]Cecilia di Sciascio, David Strohmaier, Marcelo Errecalde, Eduardo E. Veas:
Interactive Quality Analytics of User-generated Content: An Integrated Toolkit for the Case of Wikipedia. ACM Trans. Interact. Intell. Syst. 9(2-3): 13:1-13:42 (2019) - [c52]Granit Luzhnica, Eduardo E. Veas:
Optimising Encoding for Vibrotactile Skin Reading. CHI 2019: 235 - [c51]Granit Luzhnica, Eduardo E. Veas:
Boosting word recognition for vibrotactile skin reading. UbiComp 2019: 135-144 - [c50]Granit Luzhnica, Eduardo E. Veas:
Background perception and comprehension of symbols conveyed through vibrotactile wearable displays. IUI 2019: 57-64 - [c49]Jorge L. Guerra, Eduardo E. Veas, Carlos Adrián Catania:
A Study on Labeling Network Hostile Behavior with Intelligent Interactive Tools. VizSEC 2019: 1-10 - 2018
- [j7]Carla Barreiros, Eduardo E. Veas, Viktoria Pammer:
Can a Green Thumb Make a Difference?: Using a Nature Metaphor to Communicate the Sensor Information of a Coffee Machine. IEEE Consumer Electron. Mag. 7(3): 90-98 (2018) - [c48]Belgin Mutlu, Ilija Simic, Analía Cicchinelli, Vedran Sabol, Eduardo E. Veas:
Towards a Learning Dashboard for Community Visualization. AFEL@EC-TEL 2018 - [c47]Nelson Silva, Tobias Schreck, Eduardo E. Veas, Vedran Sabol, Eva Eggeling, Dieter W. Fellner:
Leveraging eye-gaze and time-series features to predict user interests and build a recommendation model for visual analysis. ETRA 2018: 13:1-13:9 - [c46]Carla Barreiros, Eduardo E. Veas, Viktoria Pammer:
Bringing Nature into Our Lives - Using Biophilic Design and Calm Computing Principles to Improve Well-Being and Performance. HCI (2) 2018: 99-109 - [c45]Granit Luzhnica, Eduardo E. Veas, Caitlyn E. Seim:
Passive haptic learning for vibrotactile skin reading. UbiComp 2018: 40-43 - [c44]Granit Luzhnica, Eduardo E. Veas:
Skin Reading Meets Speech Recognition and Object Recognition for Sensory Substitution. UbiComp/ISWC Adjunct 2018: 146-149 - [c43]Cecilia di Sciascio, Peter Brusilovsky, Eduardo E. Veas:
A Study on User-Controllable Social Exploratory Search. IUI 2018: 353-364 - [c42]Granit Luzhnica, Eduardo E. Veas:
Investigating Interactions for Text Recognition using a Vibrotactile Wearable Display. IUI 2018: 453-465 - [c41]Analía Cicchinelli, Eduardo E. Veas, Abelardo Pardo, Viktoria Pammer-Schindler, Angela Fessl, Carla Barreiros, Stefanie N. Lindstädt:
Finding traces of self-regulated learning in activity streams. LAK 2018: 191-200 - [c40]Heimo Gursch, Nelson Silva, Bernhard Reiterer, Lucas Paletta, Patrick Bernauer, Martin Fuchs, Eduardo E. Veas, Roman Kern:
Flexible Scheduling for Human Robot Collaboration in Intralogistics Teams. MuC (Workshopband) 2018 - 2017
- [j6]Cecilia di Sciascio, Vedran Sabol, Eduardo E. Veas:
Supporting Exploratory Search with a Visual User-Driven Approach. ACM Trans. Interact. Intell. Syst. 7(4): 18:1-18:35 (2017) - [c39]Carla Alexandra Souta Barreiros, Eduardo E. Veas, Viktoria Pammer:
BioIoT: Communicating Sensory Information of a Coffee Machine Using a Nature Metaphor. CHI Extended Abstracts 2017: 2388-2394 - [c38]Peter Mohr, David Mandl, Markus Tatzgern, Eduardo E. Veas, Dieter Schmalstieg, Denis Kalkofen:
Retargeting Video Tutorials Showing Tools With Surface Contact to Augmented Reality. CHI 2017: 6547-6558 - [c37]Mathieu d'Aquin, Alessandro Adamou, Stefan Dietze, Besnik Fetahu, Ujwal Gadiraju, Ilire Hasani-Mavriqi, Peter Holtz, Joachim Kimmerle, Dominik Kowald, Elisabeth Lex, Susana López-Sola, Ricardo Alonso Maturana, Vedran Sabol, Pinelopi Troullinou, Eduardo E. Veas:
AFEL: Towards Measuring Online Activities Contributions to Self-directed Learning. ARTEL@EC-TEL 2017 - [c36]Gernot R. Müller-Putz, Patrick Ofner, Andreas Schwarz, Joana Pereira, Granit Luzhnica, Cecilia di Sciascio, Eduardo E. Veas, Sebastian Stein, John Williamson, Roderick Murray-Smith, Carlos Escolano, Luis Montesano, Bjoern Hessing, Matthias Schneiders, Rüdiger Rupp:
Moregrasp: restoration of upper limb function in Individuals with High spinal cord injury by Multimodal Neuroprostheses for Interaction in Daily Activities. GBCIC 2017 - [c35]Belgin Mutlu, Eduardo E. Veas, Christoph Trattner:
Tags, Titles or Q&As?: Choosing Content Descriptors for Visual Recommender Systems. HT 2017: 265-274 - [c34]Granit Luzhnica, Sebastian Stein, Eduardo E. Veas, Viktoria Pammer, John Williamson, Roderick Murray-Smith:
Personalising vibrotactile displays through perceptual sensitivity adjustment. ISWC 2017: 66-73 - [c33]Granit Luzhnica, Eduardo E. Veas:
Vibrotactile patterns using sensitivity prioritisation. ISWC 2017: 74-81 - [c32]Eduardo E. Veas:
From Search to Discovery with Visual Exploration Tools. ESIDA@IUI 2017: 1 - [c31]Cecilia di Sciascio, Lukas Mayr, Eduardo E. Veas:
Exploring and Summarizing Document Colletions with Multiple Coordinated Views. ESIDA@IUI 2017: 41-48 - [c30]Jorge L. Guerra, Carlos Adrián Catania, Eduardo E. Veas:
Visual Exploration of Network Hostile Behavior. ESIDA@IUI 2017: 51-54 - [c29]Cecilia di Sciascio, David Strohmaier, Marcelo Errecalde, Eduardo E. Veas:
WikiLyzer: Interactive Information Quality Assessment in Wikipedia. IUI 2017: 377-388 - 2016
- [j5]Belgin Mutlu, Eduardo E. Veas, Christoph Trattner:
VizRec: Recommending Personalized Visualizations. ACM Trans. Interact. Intell. Syst. 6(4): 31:1-31:39 (2016) - [c28]Granit Luzhnica, Angela Fessl, Eduardo E. Veas, Belgin Mutlu, Viktoria Pammer:
Designing Generic Visualisations for Activity Log Data. ARTEL@EC-TEL 2016: 11-25 - [c27]Carla Barreiros, Eduardo E. Veas, Viktoria Pammer-Schindler:
Pre-attentive Features in Natural Augmented Reality Visualizations. ISMAR Adjunct 2016: 72-73 - [c26]Granit Luzhnica, Christoffer Ojeling, Eduardo E. Veas, Viktoria Pammer:
Technical Concept and Technology Choices for Implementing a Tangible Version of the Sokoban Game. ISMAR Adjunct 2016: 113-114 - [c25]Granit Luzhnica, Eduardo E. Veas, Viktoria Pammer:
Skin Reading: encoding text in a 6-channel haptic display. ISWC 2016: 148-155 - [c24]Cecilia di Sciascio, Vedran Sabol, Eduardo E. Veas:
Rank As You Go: User-Driven Exploration of Search Results. IUI 2016: 118-129 - [e1]Eduardo E. Veas, Tobias Langlotz, José Martínez-Carranza, Raphaël Grasset, Maki Sugimoto, Alejandro Martín:
2016 IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2016 Adjunct, Merida, Yucatan, Mexico, September 19-23, 2016. IEEE Computer Society 2016, ISBN 978-1-5090-3740-7 [contents] - 2015
- [j4]Markus Tatzgern, Raphaël Grasset, Eduardo E. Veas, Denis Kalkofen, Hartmut Seichter, Dieter Schmalstieg:
Exploring real world points of interest: Design and evaluation of object-centric exploration techniques for augmented reality. Pervasive Mob. Comput. 18: 55-70 (2015) - [c23]Eduardo E. Veas, Belgin Mutlu, Cecilia di Sciascio, Gerwald Tschinkel, Vedran Sabol:
Visual Recommendations for Scientific and Cultural Content. IVAPP 2015: 256-261 - [c22]Eva Ulbrich, Eduardo E. Veas, Santokh Singh, Vedran Sabol:
Reading Through Graphics: Interactive Landscapes to Explore Dynamic Topic Spaces. HCI (4) 2015: 127-137 - [c21]Cecilia di Sciascio, Vedran Sabol, Eduardo E. Veas:
uRank: Visual analytics approach for search result exploration. VAST 2015: 217-218 - [c20]Eduardo E. Veas, Cecilia di Sciascio:
Interactive Preference Elicitation for Scientific and Cultural Recommendations. CPCR+ITWP@IJCAI 2015 - [c19]Belgin Mutlu, Eduardo E. Veas, Christoph Trattner, Vedran Sabol:
VizRec: A Two-Stage Recommender System for Personalized Visualizations. IUI Companion 2015: 49-52 - [c18]Cecilia di Sciascio, Vedran Sabol, Eduardo E. Veas:
uRank: Exploring Document Recommendations through an Interactive User-Driven Approach. IntRS@RecSys 2015: 29-36 - [c17]Belgin Mutlu, Eduardo E. Veas, Christoph Trattner, Vedran Sabol:
Towards a Recommender Engine for Personalized Visualizations. UMAP 2015: 169-182 - 2014
- [c16]Belgin Mutlu, Patrick Höfler, Gerwald Tschinkel, Eduardo E. Veas, Vedran Sabol, Florian Stegmaier, Michael Granitzer:
Suggesting Visualisations for Published Data. IVAPP 2014: 267-275 - [c15]Manuela Rauch, Ralph Wozelka, Eduardo E. Veas, Vedran Sabol:
Semantic Blossom Graph: A New Approach for Visual Graph Exploration. IV 2014: 234-240 - [c14]Gerwald Tschinkel, Eduardo E. Veas, Belgin Mutlu, Vedran Sabol:
Using Semantics for Interactive Visual Analysis of Linked Open Data. ISWC (Posters & Demos) 2014: 133-136 - [c13]Vedran Sabol, Gerwald Tschinkel, Eduardo E. Veas, Patrick Höfler, Belgin Mutlu, Michael Granitzer:
Discovery and Visual Analysis of Linked Data for Humans. ISWC (1) 2014: 309-324 - [c12]Patrick Höfler, Michael Granitzer, Eduardo E. Veas, Christin Seifert:
Linked Data Query Wizard: A Novel Interface for Accessing SPARQL Endpoints. LDOW 2014 - 2013
- [j3]Eduardo E. Veas, Raphaël Grasset, Ioan Ferencik, Thomas Grünewald, Dieter Schmalstieg:
Mobile augmented reality for environmental monitoring. Pers. Ubiquitous Comput. 17(7): 1515-1531 (2013) - [c11]Markus Tatzgern, Raphaël Grasset, Eduardo E. Veas, Denis Kalkofen, Hartmut Seichter, Dieter Schmalstieg:
Exploring Distant Objects with Augmented Reality. EGVE/EuroVR 2013: 49-56 - [c10]Denis Kalkofen, Eduardo E. Veas, Stefanie Zollmann, Markus Steinberger, Dieter Schmalstieg:
Adaptive ghosted views for Augmented Reality. ISMAR 2013: 1-9 - 2012
- [j2]Eduardo E. Veas, Raphaël Grasset, Ernst Kruijff, Dieter Schmalstieg:
Extended Overview Techniques for Outdoor Augmented Reality. IEEE Trans. Vis. Comput. Graph. 18(4): 565-572 (2012) - [c9]Bernhard Kainz, Stefan Hauswiesner, Gerhard Reitmayr, Markus Steinberger, Raphaël Grasset, Lukas Gruber, Eduardo E. Veas, Denis Kalkofen, Hartmut Seichter, Dieter Schmalstieg:
OmniKinect: real-time dense volumetric data acquisition and applications. VRST 2012: 25-32 - 2011
- [c8]Eduardo E. Veas, Erick Méndez, Steven Feiner, Dieter Schmalstieg:
Directing attention and influencing memory with visual saliency modulation. CHI 2011: 1471-1480 - [c7]Antti Nurminen, Ernst Kruijff, Eduardo E. Veas:
HYDROSYS - A Mixed Reality Platform for On-Site Visualization of Environmental Data. W2GIS 2011: 159-175 - 2010
- [c6]Eduardo E. Veas, Alessandro Mulloni, Ernst Kruijff, Holger Regenbrecht, Dieter Schmalstieg:
Techniques for view transition in multi-camera outdoor environments. Graphics Interface 2010: 193-200 - [c5]Eduardo E. Veas, Ernst Kruijff:
Handheld devices for mobile augmented reality. MUM 2010: 3
2000 – 2009
- 2009
- [j1]Gerhard Schall, Erick Méndez, Ernst Kruijff, Eduardo E. Veas, Sebastian Junghanns, Bernhard Reitinger, Dieter Schmalstieg:
Handheld Augmented Reality for underground infrastructure visualization. Pers. Ubiquitous Comput. 13(4): 281-291 (2009) - 2008
- [c4]Eduardo E. Veas, Ernst Kruijff:
Vesp'R: design and evaluation of a handheld AR device. ISMAR 2008: 43-52 - [c3]Eduardo E. Veas, Dieter Schmalstieg:
Creating Meaningful Environment Models for Augmented Reality. VR 2008: 295-296 - 2007
- [c2]Ernst Kruijff, Eduardo E. Veas:
Vesp'R - Transforming Handheld Augmented Reality. ISMAR 2007: 277-278 - 2005
- [c1]Eduardo E. Veas, Kiyoshi Kiyokawa, Haruo Takemura:
Self-aware framework for adaptive augmented reality. ICAT 2005: 70-77
Coauthor Index
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