Self-aware framework for adaptive augmented reality. - Eduardo E. Veas; Kiyoshi Kiyokawa; Haruo Takemura (ICAT, 2005)

Vesp'R - Transforming Handheld Augmented Reality. - Ernst Kruijff; Eduardo E. Veas (ISMAR, 2007)

Vesp'R: design and evaluation of a handheld AR device. - Eduardo E. Veas; Ernst Kruijff (ISMAR, 2008)

Creating Meaningful Environment Models for Augmented Reality. - Eduardo E. Veas; Dieter Schmalstieg (VR, 2008)

Handheld Augmented Reality for underground infrastructure visualization. - Gerhard Schall; Erick Méndez; Ernst Kruijff; Eduardo E. Veas; Sebastian Junghanns; Bernhard Reitinger; Dieter Schmalstieg (Pers. Ubiquitous Comput., 2009)

On-Site Monitoring of Environmental Processes using Mobile Augmented Reality (HYDROSYS). - Ernst Kruijff; Erick Méndez; Eduardo E. Veas; Thomas Grünewald (ENVIP@EnviroInfo, 2010)

Techniques for view transition in multi-camera outdoor environments. - Eduardo E. Veas; Alessandro Mulloni; Ernst Kruijff; Holger Regenbrecht; Dieter Schmalstieg (Graphics Interface, 2010)

Handheld devices for mobile augmented reality. - Eduardo E. Veas; Ernst Kruijff (MUM, 2010)

Directing attention and influencing memory with visual saliency modulation. - Eduardo E. Veas; Erick Méndez; Steven Feiner; Dieter Schmalstieg (CHI, 2011)

HYDROSYS - A Mixed Reality Platform for On-Site Visualization of Environmental Data. - Antti Nurminen; Ernst Kruijff; Eduardo E. Veas (W2GIS, 2011)

OmniKinect: real-time dense volumetric data acquisition and applications. - Bernhard Kainz; Stefan Hauswiesner; Gerhard Reitmayr; Markus Steinberger; Raphaël Grasset; Lukas Gruber; Eduardo E. Veas; Denis Kalkofen; Hartmut Seichter; Dieter Schmalstieg (VRST, 2012)

Extended Overview Techniques for Outdoor Augmented Reality. - Eduardo E. Veas; Raphaël Grasset; Ernst Kruijff; Dieter Schmalstieg (IEEE Trans. Vis. Comput. Graph., 2012)

Exploring Distant Objects with Augmented Reality. - Markus Tatzgern; Raphaël Grasset; Eduardo E. Veas; Denis Kalkofen; Hartmut Seichter; Dieter Schmalstieg (EGVE/EuroVR, 2013)

Adaptive ghosted views for Augmented Reality. - Denis Kalkofen; Eduardo E. Veas; Stefanie Zollmann; Markus Steinberger; Dieter Schmalstieg (ISMAR, 2013)

Mobile augmented reality for environmental monitoring. - Eduardo E. Veas; Raphaël Grasset; Ioan Ferencik; Thomas Grünewald; Dieter Schmalstieg (Pers. Ubiquitous Comput., 2013)

Suggesting Visualisations for Published Data. - Belgin Mutlu; Patrick Höfler; Gerwald Tschinkel; Eduardo E. Veas; Vedran Sabol; Florian Stegmaier; Michael Granitzer (IVAPP, 2014)

Semantic Blossom Graph: A New Approach for Visual Graph Exploration. - Manuela Rauch; Ralph Wozelka; Eduardo E. Veas; Vedran Sabol (IV, 2014)

Discovery and Visual Analysis of Linked Data for Humans. - Vedran Sabol; Gerwald Tschinkel; Eduardo E. Veas; Patrick Höfler; Belgin Mutlu; Michael Granitzer (ISWC (1), 2014)

Using Semantics for Interactive Visual Analysis of Linked Open Data. - Gerwald Tschinkel; Eduardo E. Veas; Belgin Mutlu; Vedran Sabol (ISWC (Posters & Demos), 2014)

Linked Data Query Wizard: A Novel Interface for Accessing SPARQL Endpoints. - Patrick Höfler; Michael Granitzer; Eduardo E. Veas; Christin Seifert (LDOW, 2014)

Visual Recommendations for Scientific and Cultural Content. - Eduardo E. Veas; Belgin Mutlu; Cecilia di Sciascio; Gerwald Tschinkel; Vedran Sabol (IVAPP, 2015)

Reading Through Graphics: Interactive Landscapes to Explore Dynamic Topic Spaces. - Eva Ulbrich; Eduardo E. Veas; Santokh Singh; Vedran Sabol (HCI (4), 2015)

uRank: Visual analytics approach for search result exploration. - Cecilia di Sciascio; Vedran Sabol; Eduardo E. Veas (VAST, 2015)

Interactive Preference Elicitation for Scientific and Cultural Recommendations. - Eduardo E. Veas; Cecilia di Sciascio (CPCR+ITWP@IJCAI, 2015)

VizRec: A Two-Stage Recommender System for Personalized Visualizations. - Belgin Mutlu; Eduardo E. Veas; Christoph Trattner; Vedran Sabol (IUI Companion, 2015)

uRank: Exploring Document Recommendations through an Interactive User-Driven Approach. - Cecilia di Sciascio; Vedran Sabol; Eduardo E. Veas (IntRS@RecSys, 2015)

Towards a Recommender Engine for Personalized Visualizations. - Belgin Mutlu; Eduardo E. Veas; Christoph Trattner; Vedran Sabol (UMAP, 2015)

Exploring real world points of interest: Design and evaluation of object-centric exploration techniques for augmented reality. - Markus Tatzgern; Raphaël Grasset; Eduardo E. Veas; Denis Kalkofen; Hartmut Seichter; Dieter Schmalstieg (Pervasive Mob. Comput., 2015)

Designing Generic Visualisations for Activity Log Data. - Granit Luzhnica; Angela Fessl; Eduardo E. Veas; Belgin Mutlu; Viktoria Pammer (ARTEL@EC-TEL, 2016)

Pre-attentive Features in Natural Augmented Reality Visualizations. - Carla Barreiros; Eduardo E. Veas; Viktoria Pammer-Schindler (ISMAR Adjunct, 2016)

Technical Concept and Technology Choices for Implementing a Tangible Version of the Sokoban Game. - Granit Luzhnica; Christoffer Ojeling; Eduardo E. Veas; Viktoria Pammer (ISMAR Adjunct, 2016)

Skin Reading: encoding text in a 6-channel haptic display. - Granit Luzhnica; Eduardo E. Veas; Viktoria Pammer (ISWC, 2016)

Rank As You Go: User-Driven Exploration of Search Results. - Cecilia di Sciascio; Vedran Sabol; Eduardo E. Veas (IUI, 2016)

VizRec: Recommending Personalized Visualizations. - Belgin Mutlu; Eduardo E. Veas; Christoph Trattner (ACM Trans. Interact. Intell. Syst., 2016)

BioIoT: Communicating Sensory Information of a Coffee Machine Using a Nature Metaphor. - Carla Alexandra Souta Barreiros; Eduardo E. Veas; Viktoria Pammer (CHI Extended Abstracts, 2017)

Retargeting Video Tutorials Showing Tools With Surface Contact to Augmented Reality. - Peter Mohr; David Mandl; Markus Tatzgern; Eduardo E. Veas; Dieter Schmalstieg; Denis Kalkofen (CHI, 2017)

AFEL: Towards Measuring Online Activities Contributions to Self-directed Learning. - 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; et al. (ARTEL@EC-TEL, 2017)

Moregrasp: restoration of upper limb function in Individuals with High spinal cord injury by Multimodal Neuroprostheses for Interaction in Daily Activities. - Gernot R. Müller-Putz; Patrick Ofner; Andreas Schwarz; Joana Pereira; Granit Luzhnica; Cecilia di Sciascio; Eduardo E. Veas; Sebastian Stein 003; John Williamson 001; Roderick Murray-Smith; Carlos Escolano; Luis Montesano; et al. (GBCIC, 2017)

Tags, Titles or Q&As?: Choosing Content Descriptors for Visual Recommender Systems. - Belgin Mutlu; Eduardo E. Veas; Christoph Trattner (HT, 2017)

Personalising vibrotactile displays through perceptual sensitivity adjustment. - Granit Luzhnica; Sebastian Stein 003; Eduardo E. Veas; Viktoria Pammer; John Williamson 001; Roderick Murray-Smith (ISWC, 2017)

Vibrotactile patterns using sensitivity prioritisation. - Granit Luzhnica; Eduardo E. Veas (ISWC, 2017)

Visual Exploration of Network Hostile Behavior. - Jorge L. Guerra; Carlos Adrián Catania; Eduardo E. Veas (ESIDA@IUI, 2017)

Exploring and Summarizing Document Colletions with Multiple Coordinated Views. - Cecilia di Sciascio; Lukas Mayr; Eduardo E. Veas (ESIDA@IUI, 2017)

WikiLyzer: Interactive Information Quality Assessment in Wikipedia. - Cecilia di Sciascio; David Strohmaier; Marcelo Errecalde; Eduardo E. Veas (IUI, 2017)

From Search to Discovery with Visual Exploration Tools. - Eduardo E. Veas (ESIDA@IUI, 2017)

Supporting Exploratory Search with a Visual User-Driven Approach. - Cecilia di Sciascio; Vedran Sabol; Eduardo E. Veas (ACM Trans. Interact. Intell. Syst., 2017)

Towards a Learning Dashboard for Community Visualization. - Belgin Mutlu; Ilija Simic; Analía Cicchinelli; Vedran Sabol; Eduardo E. Veas (AFEL@EC-TEL, 2018)

Leveraging eye-gaze and time-series features to predict user interests and build a recommendation model for visual analysis. - Nelson Silva; Tobias Schreck; Eduardo E. Veas; Vedran Sabol; Eva Eggeling; Dieter W. Fellner (ETRA, 2018)

Bringing Nature into Our Lives - Using Biophilic Design and Calm Computing Principles to Improve Well-Being and Performance. - Carla Barreiros; Eduardo E. Veas; Viktoria Pammer (HCI (2), 2018)

Skin Reading Meets Speech Recognition and Object Recognition for Sensory Substitution. - Granit Luzhnica; Eduardo E. Veas (UbiComp/ISWC Adjunct, 2018)

Passive haptic learning for vibrotactile skin reading. - Granit Luzhnica; Eduardo E. Veas; Caitlyn E. Seim (UbiComp, 2018)

Investigating Interactions for Text Recognition using a Vibrotactile Wearable Display. - Granit Luzhnica; Eduardo E. Veas (IUI, 2018)

A Study on User-Controllable Social Exploratory Search. - Cecilia di Sciascio; Peter Brusilovsky; Eduardo E. Veas (IUI, 2018)

Finding traces of self-regulated learning in activity streams. - Analía Cicchinelli; Eduardo E. Veas; Abelardo Pardo; Viktoria Pammer-Schindler; Angela Fessl; Carla Barreiros; Stefanie N. Lindstädt (LAK, 2018)

Flexible Scheduling for Human Robot Collaboration in Intralogistics Teams. - Heimo Gursch; Nelson Silva; Bernhard Reiterer; Lucas Paletta; Patrick Bernauer; Martin Fuchs; Eduardo E. Veas; Roman Kern (MuC (Workshopband), 2018)

Can a Green Thumb Make a Difference?: Using a Nature Metaphor to Communicate the Sensor Information of a Coffee Machine. - Carla Barreiros; Eduardo E. Veas; Viktoria Pammer (IEEE Consumer Electron. Mag., 2018)

Optimising Encoding for Vibrotactile Skin Reading. - Granit Luzhnica; Eduardo E. Veas (CHI, 2019)

Boosting word recognition for vibrotactile skin reading. - Granit Luzhnica; Eduardo E. Veas (UbiComp, 2019)

Background perception and comprehension of symbols conveyed through vibrotactile wearable displays. - Granit Luzhnica; Eduardo E. Veas (IUI, 2019)

A Study on Labeling Network Hostile Behavior with Intelligent Interactive Tools. - Jorge L. Guerra; Eduardo E. Veas; Carlos Adrián Catania (VizSEC, 2019)

Active learning approach to label network traffic datasets. - Jorge L. Guerra; Carlos Adrián Catania; Eduardo E. Veas (J. Inf. Secur. Appl., 2019)

Interactive Quality Analytics of User-generated Content: An Integrated Toolkit for the Case of Wikipedia. - Cecilia di Sciascio; David Strohmaier; Marcelo Errecalde; Eduardo E. Veas (ACM Trans. Interact. Intell. Syst., 2019)

Nature at Your Service - Nature Inspired Representations Combined with Eye-gaze Features to Infer User Attention and Provide Contextualized Support. - Carla Barreiros; Nelson Silva; Viktoria Pammer-Schindler; Eduardo E. Veas (HCI (34), 2020)

Understanding the effects of control and transparency in searching as learning. - Cecilia di Sciascio; Eduardo E. Veas; Jordan Barria-Pineda; Colleen Culley (IUI, 2020)

Planting the Seed of Positive Human-IoT Interaction. - Carla Barreiros; Viktoria Pammer-Schindler; Eduardo E. Veas (Int. J. Hum. Comput. Interact., 2020)

A Roadmap to User-Controllable Social Exploratory Search. - Cecilia di Sciascio; Peter Brusilovsky; Christoph Trattner; Eduardo E. Veas (ACM Trans. Interact. Intell. Syst., 2020)

Designing a Sensor Glove Using Deep Learning. - Jeremy Chan; Eduardo E. Veas; Jörg Simon (IUI, 2021)

Formula RL: Deep Reinforcement Learning for Autonomous Racing using Telemetry Data. - Adrian Remonda; Sarah Krebs; Eduardo E. Veas; Granit Luzhnica; Roman Kern (CoRR, 2021)

Acting upon Imagination: when to trust imagined trajectories in model based reinforcement learning. - Adrian Remonda; Eduardo E. Veas; Granit Luzhnica (CoRR, 2021)

XAI Methods for Neural Time Series Classification: A Brief Review. - Ilija Simic; Vedran Sabol; Eduardo E. Veas (CoRR, 2021)

Exploring Feedback-based Testing Effects for Skin Reading. - Granit Luzhnica; Aleksandra Krajnc; Eduardo E. Veas (AHs, 2022)

Perturbation Effect: A Metric to Counter Misleading Validation of Feature Attribution. - Ilija Simic; Vedran Sabol; Eduardo E. Veas (CIKM, 2022)

Datasets are not enough: Challenges in labeling network traffic. - Jorge L. Guerra; Carlos Adrián Catania; Eduardo E. Veas (Comput. Secur., 2022)

A Visualisation Driven Training for Vibrotactile Skin Reading. - Granit Luzhnica; Eduardo E. Veas (IEEE Trans. Haptics, 2022)

Neural and Pupillometric Correlates of Error Perception in an Immersive VR Flight Simulation. - Michael Wimmer 003; Nicole Weidinger; Eduardo E. Veas; Gernot R. Müller-Putz (EMBC, 2023)

EEG-Based Error Detection Can Challenge Human Reaction Time in a VR Navigation Task. - Michael Wimmer 003; Nicole Weidinger; Neven A. M. El Sayed; Gernot R. Müller-Putz; Eduardo E. Veas (ISMAR, 2023)

Intelligent User Interface for Decision Support in Drug Development. - Reihaneh Manteghi; Eduardo Enrique Veas (IUI Companion, 2023)

Immersive Analysis of Spatiotemporal Racing Data. - Nicole Weidinger; Neven A. M. El Sayed; Granit Luzhnica; Tobias Schreck; Eduardo E. Veas (SUI, 2023)

AI-Powered Immersive Assistance for Interactive Task Execution in Industrial Environments. - Tomislav Duricic; Peter Müllner; Nicole Weidinger; Neven A. M. ElSayed; Dominik Kowald; Eduardo E. Veas (ECAI, 2024)

The KuiSCIMA Dataset for Optical Music Recognition of Ancient Chinese Suzipu Notation. - Tristan Repolusk; Eduardo E. Veas (ICDAR (6), 2024)

Subtle Cueing For Improving Depth Perception in Virtual Reality. - Ammaar Zaman; Ernst Kruijff; Eduardo E. Veas; Aleksandra Krajnc; Neven A. M. ElSayed (ISMAR, 2024)

XAIVIER: Time Series Classifier Verification with Faithful Explainable AI. - Ilija Simic; Santokh Singh; Christian Partl; Eduardo E. Veas; Vedran Sabol (IUI Companion, 2024)

A Simulation Benchmark for Autonomous Racing with Large-Scale Human Data. - Adrian Remonda; Nicklas Hansen 001; Ayoub Raji; Nicola Musiu; Marko Bertogna; Eduardo E. Veas; Xiaolong Wang 004 (NeurIPS, 2024)

Establishing and evaluating trustworthy AI: overview and research challenges. - Dominik Kowald; Sebastian Scher; Viktoria Pammer-Schindler; Peter Müllner; Kerstin Waxnegger; Lea Demelius; Angela Fessl; Maximilian Toller; Inti Gabriel Mendoza Estrada; Ilija Simic; Vedran Sabol; Andreas Trügler; et al. (Frontiers Big Data, 2024)

View recommendation for multi-camera demonstration-based training. - Saugata Biswas; Ernst Kruijff; Eduardo E. Veas (Multim. Tools Appl., 2024)

Agents of MASK: Mobile Analytics from Situated Knowledge. - Neven Abdelaziz Mohamed ElSayed; Eduardo Enrique Veas; Dieter Schmalstieg (Interactions, 2024)

Counting on AR: EEG responses to incongruent information with real-world context. - Michael Wimmer 003; Alex Pepicelli; Benjamin Volmer; Neven A. M. ElSayed; Andrew Cunningham; Bruce H. Thomas; Gernot R. Müller-Putz; Eduardo E. Veas (Comput. Biol. Medicine, 2025)

Continual learning in the presence of repetition. - Hamed Hemati; Lorenzo Pellegrini; Xiaotian Duan; Zixuan Zhao; Fangfang Xia; Marc Masana; Benedikt Tscheschner; Eduardo E. Veas; Yuxiang Zheng; Shiji Zhao; Shao-Yuan Li; Sheng-Jun Huang; et al. (Neural Networks, 2025)

Uncertainty-Based Experience Replay for Task-Agnostic Continual Reinforcement Learning. - Adrian Remonda; Cole Corbitt Terrell; Eduardo E. Veas; Marc Masana (Trans. Mach. Learn. Res., 2025)

Incremental Learning with Repetition via Pseudo-Feature Projection. - Benedikt Tscheschner; Eduardo E. Veas; Marc Masana (CoRR, 2025)

KuiSCIMA v2.0: Improved Baselines, Calibration, and Cross-Notation Generalization for Historical Chinese Music Notations in Jiang Kui's Baishidaoren Gequ. - Tristan Repolusk; Eduardo E. Veas (CoRR, 2025)

UN3-Mapping: Uncertainty-Aware Neural Non-Projective Signed Distance Fields for 3D Mapping. - Shuangfu Song; Junqiao Zhao; Eduardo E. Veas; Jiaye Lin; Qiuyi Cao; Chen Ye 002; Tiantian Feng (IEEE Robotics Autom. Lett., 2025)