Eduardo Enrique Veas

Research output

Research output per year 2007 2015 2017 2018 2019 2023 2024 2025

• 62 Conference paper
• 22 Article
• 4 Paper
• 1 Chapter
• 3 More
  • 1 Editorial
  • 1 Review article
  • 1 Working paper

Research output per year

Research output per year

Search results

• 2025

  Continual learning in the presence of repetition

  Hemati, H., Pellegrini, L., Duan, X., Zhao, Z., Xia, F., Masana, M., Tscheschner, B., Veas, E., Zheng, Y., Zhao, S., Li, S. Y., Huang, S. J., Lomonaco, V. & van de Ven, G. M., Mar 2025, In: Neural Networks. 183, 106920.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Counting on AR: EEG responses to incongruent information with real-world context

  Wimmer, M., Pepicelli, A., Volmer, B., ElSayed, N., Cunningham, A., Thomas, B. H., Müller-Putz, G. R. & Veas, E. E., Feb 2025, In: Computers in Biology and Medicine. 185, 109483.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Mental Context 100%
  • Physical Entity 33%

• Incremental Learning with Repetition via Pseudo-Feature Projection

  Tscheschner, B., Veas, E. & Masana, M., 14 Feb 2025, Proceedings of the 28th Computer Vision Winter Workshop, CVWW 2025. 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  File

  • Use Case 100%
  • Performance Art 100%
  • And-States 50%
  • Data Stream 50%
  • Art Performance 50%

• Uncertainty-Based Experience Replay for Task-Agnostic Continual Reinforcement Learning

  Remonda, A., Terrell, C., Veas, E. & Masana, M., Feb 2025, In: Transactions on Machine Learning Research. 2025-February, p. 1-26 26 p.

  Research output: Contribution to journal › Article › peer-review

  • Model-Based Reinforcement Learning 100%
  • Effective Implementation 50%
• 2024

  Agents of MASK: Mobile Analytics from Situated Knowledge

  Elsayed, N., Veas, E. & Schmalstieg, D., 10 Jan 2024, Interactions, 31, 1, p. 48-55 8 p.

  Research output: Contribution to specialist publication › Article › peer-review

  Open Access

• AI-Powered Immersive Assistance for Interactive Task Execution in Industrial Environments

  Duricic, T., Weidinger, N., El Sayed, N., Kowald, D. & Veas, E. E., 20 Oct 2024, 27TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Virtual Reality 100%
  • Complex Task 100%
  • Industrial Environment 100%
  • Task Execution 100%
  • Industrial Application 50%

• A Simulation Benchmark for Autonomous Racing with Large-Scale Human Data

  Remonda, A., Hansen, N., Raji, A., Musiu, N., Bertogna, M., Veas, E. E. & Wang, X., 12 Dec 2024, (Accepted/In press) 38th International Conference On Neural Information Processing Systems NIPS 2024.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • State of the Art 100%
  • Environment Simulation 100%
  • Environment Research 50%

• Establishing and evaluating trustworthy AI: overview and research challenges

  Kowald, D., Scher, S., Pammer-Schindler, V., Müllner, P., Waxnegger, K., Demelius, L., Fessl, A., Toller, M., Mendoza Estrada, I. G., Šimić, I., Sabol, V., Trügler, A., Veas, E., Kern, R., Nad, T. & Kopeinik, S., 29 Nov 2024, In: Frontiers in Big Data. 7, 1467222.

  Research output: Contribution to journal › Review article › peer-review

  Open Access

  • Artificial Intelligence 100%
  • Interdisciplinary Research 20%
  • Conceptual Clarity 20%

• Importance estimate of features via analysis of their weight and gradient profile

  Chan, H. T. J. & Veas, E. E., Dec 2024, In: Scientific Reports. 14, 1, 23532.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Neural Network 100%
  • Feature Selection 100%
  • Feature Extraction 25%
  • Gradient Descent 25%
  • Modeling Process 25%

• Multimodal decoding of error processing in a virtual reality flight simulation

  Wimmer, M., Weidinger, N., Veas, E. & Müller-Putz, G. R., Dec 2024, In: Scientific Reports. 14, 1, 9221.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Virtual Reality 100%
  • Physiological Data 100%
  • Hybrid Approach 66%
  • Computer Interface 33%
  • Virtual Environment 33%

• Subtle Cueing For Improving Depth Perception in Virtual Reality

  Zaman, A., Kruijff, E., Veas, E. E., Krajnc, A. & El Sayed, N., 29 Oct 2024, 23rd IEEE International Symposium on Mixed and Augmented Reality: ISMAR 2024. ACM/IEEE

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Virtual Reality 100%
  • Depth Perception 100%
  • Spatial Relationship 66%
  • Sensory System 50%
  • Depth Estimation 33%

• The KuiSCIMA Dataset for Optical Music Recognition of Ancient Chinese Suzipu Notation

  Repolusk, T. & Veas, E. E., 11 Sept 2024, Document Analysis and Recognition - ICDAR 2024 - 18th International Conference, Proceedings. Barney Smith, E. H., Liwicki, M. & Peng, L. (eds.). Springer Nature Switzerland AG, p. 38-54 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14809 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Annotation 100%
  • Cultural Heritage 100%
  • Benchmarking 100%
  • Recognition System 100%
  • Open Source Tool 100%

• XAIVIER: Time Series Classifier Verification with Faithful Explainable AI

  Simic, I., Singh, S., Partl, C., Veas, E. E. & Sabol, V., 29 Mar 2024, IUI '24 Companion: Companion Proceedings of the 29th International Conference on Intelligent User Interfaces. Association of Computing Machinery

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Explainable Artificial Intelligence 100%
  • Time Series 100%
  • Artificial Intelligence 100%
  • Use Case 33%
  • Machine Learning 33%
• 2023

  EEG-based Error Detection can Challenge Human Reaction Time in a VR Navigation Task

  Wimmer, M., Weidinger, N., El Sayed, N., Müller-Putz, G. & Veas, E. E., 18 Oct 2023, (E-pub ahead of print). 10 p.

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  File

  • Virtual Reality 100%
  • Error Detection 100%
  • Navigation Task 100%
  • Computer Interface 25%
  • Human Computer Interaction 25%

• Immersive Analysis of Spatiotemporal Racing Data

  Weidinger, N., El Sayed, N., Luzhnica, G., Schreck, T. & Veas, E. E., 13 Oct 2023, Proceedings - SUI 2023: ACM Symposium on Spatial User Interaction. Spencer, S. N. (ed.). Association of Computing Machinery, 12 p. 30. (Proceedings - SUI 2023: ACM Symposium on Spatial User Interaction).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  • Spatial Association 100%

• Intelligent User Interface for Decision Support in Drug Development

  Manteghi, R. & Veas, E. E., 27 Mar 2023, IUI 2023 - Companion Proceedings of the 28th International Conference on Intelligent User Interfaces. Association of Computing Machinery, p. 214-219 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  • User Interface 100%
  • Subproblem 100%
  • Failure Rate 100%
  • Multiple Stage 100%
  • Setting Research 100%

• Neural and Pupillometric Correlates of Error Perception in an Immersive VR Flight Simulation

  Wimmer, M., Weidinger, N., Veas, E. E. & Müller-Putz, G., 30 Jul 2023, 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Press

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Immersive Virtual Reality 100%
  • Flight 100%
  • Computer Interface 33%
  • Error Detection 33%
  • Physiological Data 33%

• Students in Focus - Moving Towards Human-Centred Learning Analytics

  Barreiros, C., Leitner, P., Ebner, M., Veas, E. & Lindstaedt, S., 31 Mar 2023, Practicable Learning Analytics. Viberg, O. & Grönlund, Å. (eds.). Cham: Springer International Publishing AG , p. 77-94 18 p. (Advances in Analytics for Learning and Teaching).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

  • Analytic Technology 100%
  • Activity Graph 100%
  • Academic Success 100%

• Toward Hybrid BCI: EEG and Pupillometric Signatures of Error Perception in an Immersive Navigation Task in VR

  Wimmer, M., Weidinger, N., Veas, E. E. & Müller-Putz, G., 10 Jun 2023, 10th International Brain-Computer Interface Meeting 2023.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  File

  • Computer Interface 100%
  • Navigation Task 100%
  • Error Detection 50%
  • Physiological Data 50%
  • Head Mounted Display 50%

• View recommendation for multi-camera demonstration-based training

  Biswas, S., Kruijff, E. & Veas, E. E., 3 Aug 2023, (E-pub ahead of print) In: Multimedia Tools and Applications.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Multiple Stream 100%
• 2022

  A Visualisation Driven Training for Vibrotactile Skin Reading

  Luzhnica, G. & Veas, E., 2022, In: IEEE Transactions on Haptics. 15, 1, p. 103-108 6 p.

  Research output: Contribution to journal › Article › peer-review

• Datasets are not enough: Challenges in labeling network traffic

  Guerra, J., Catania, C. A. & Veas, E. E., Sept 2022, In: Computers & Security. 120, 17 p., 102810.

  Research output: Contribution to journal › Article › peer-review

  • Specialized Knowledge 100%
  • Security Field 100%
  • Normal Behavior 100%

• Exploring Feedback-based Testing Effects for Skin Reading

  Luzhnica, G., Krajnc, A. & Veas, E., 13 Mar 2022, Proceedings of Augmented Humans Conference 2022, AHs 2022. Association of Computing Machinery, p. 212-217 6 p. (ACM International Conference Proceeding Series).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  • Learning Curve 100%

• Perturbation Effect: A Metric to Counter Misleading Validation of Feature Attribution

  Simic, I., Sabol, V. & Veas, E. E., 17 Oct 2022, CIKM '22: Proceedings of the 31st ACM International Conference on Information & Knowledge Management. New York, NY: Association of Computing Machinery, p. 1798-1807

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  • Explainable Artificial Intelligence 100%
  • Time Series Data 66%
  • Size Selection 50%
  • Effect Size 20%
• 2021

  Comparing driving behavior of humans and autonomous driving in a professional racing simulator

  Remonda, A., Veas, E. E. & Luzhnica, G., 3 Feb 2021, In: PLoS ONE. 16, 2, p. 1 37 p., e0245320.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Reinforcement Learning 100%
  • Autonomous Driving 100%
  • Driving Behavior 100%
  • Telemetry 100%
  • Learning Algorithm 100%

• Designing a Sensor Glove Using Deep Learning

  Chan, H. T. J., Veas, E. E. & Simon, J., 14 Apr 2021, 26th International Conference on Intelligent User Interfaces, IUI 2021. Association of Computing Machinery, p. 150-160 11 p. (International Conference on Intelligent User Interfaces, Proceedings IUI).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  • Deep Learning Method 100%
  • Recognition Accuracy 100%
  • Feature Extraction 50%
  • Hardware Redundancy 50%
  • Gesture Recognition 50%
• 2020

  Nature at Your Service-Nature Inspired Representations Combined with Eye-gaze Features to Infer User Attention and Provide Contextualized Support

  Souta Barreiros, C., Silva, N., Pammer-Schindler, V. & Veas, E. E., 10 Jul 2020, (E-pub ahead of print) Adaptive Instructional Systems - 2nd International Conference, AIS 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Proceedings. Sottilare, R. A. & Schwarz, J. (eds.). Springer, p. 258-270 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12214 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Internet-Of-Things 100%
  • Use Case 50%
  • Augmented Reality 50%
  • User Behavior 50%
  • Configuration Task 50%

• Understanding the effects of control and transparency in searching as learning

  di Sciascio, C., Barria Pineda, J., Veas, E. E. & Culley, C., 17 Mar 2020, IUI '20: Proceedings of the 25th International Conference on Intelligent User Interfaces. Association of Computing Machinery, p. 498-509 12 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  • Subjective Dimension 100%
  • Independent Group 50%
  • Objective Dimension 50%
  • Popular Search 50%
  • Scientific Paper 50%
• 2019

  Active learning approach to label network traffic datasets

  Guerra Torres, J. L., Catania, C. A. & Veas, E., 2019, In: Journal of Information Security and Applications. 49, 13 p., 102388.

  Research output: Contribution to journal › Article › peer-review

  • Prediction Performance 100%
  • Learning Rate 100%

• A Roadmap to User-Controllable Social Exploratory Search

  di Sciascio, C., Brusilovsky, P., Trattner, C. & Veas, E., 2019, In: ACM Transactions on Interactive Intelligent Systems. 10, 1, 38 p., 8.

  Research output: Contribution to journal › Article › peer-review

  • User Interface 100%
  • Structural Model 100%
  • Dynamic Process 100%
  • Information Systems 100%
  • Social Information 100%

• A Study on Labeling Network Hostile Behavior with Intelligent Interactive Tools

  Torres, J. G., Veas, E. E. & Catania, C. A., 2019.

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  File

  • Supervised Learning Strategy 100%
  • Semisupervised Learning 100%

• Background perception and comprehension of symbols conveyed through vibrotactile wearable displays

  Luzhnica, G. & Veas, E., 1 Jan 2019, 24rd International Conference on Intelligent User Interfaces (IUI’19). . Association of Computing Machinery, p. 57-64 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Encoded Message 100%
  • User Performance 50%

• Boosting word recognition for vibrotactile skin reading

  Luzhnica, G. & Veas, E., 2019, ISWC ', 19 Proceedings of the 23rd International Symposium on Wearable Computers. New York, NY, p. 135-144 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Proficiency 100%
  • Novice 100%
  • Considerable Amount 100%
  • Word Recognition 100%

• Formula RL: Deep Reinforcement Learning for Autonomous Racing using Telemetry Data

  Remonda, A., Krebs, S., Veas, E. E., Luzhnica, G. & Kern, R., 2019.

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  • Learning Task 100%
  • Action Space 100%
  • Remote Sensing 100%
  • Deep Reinforcement Learning 100%
  • Learning Model 100%

• Interactive Quality Analytics of User-generated Content: An Integrated Toolkit for the Case of Wikipedia

  Sciascio, C. D., Strohmaier, D., Errecalde, M. & Veas, E., Apr 2019, In: ACM Transactions on Interactive Intelligent Systems . 9, 2-3, p. 1-42 42 p., 13.

  Research output: Contribution to journal › Article › peer-review

  • Automatic Classification 100%
  • Analytics Environment 50%
  • Content Quality 50%
  • Encountered Information 50%

• Optimising the Encoding for Vibrotactile Skin Reading

  Luzhnica, G. & Veas, E., 9 May 2019, ACM CHI Conference on Human Factors in Computing Systems (CHI'19). Association of Computing Machinery

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  • Recognition Accuracy 100%

• Planting the Seed of Positive Human-IoT Interaction

  Barreiros, C., Pammer-Schindler, V. & Veas, E., 2019, (E-pub ahead of print) In: International Journal of Human-Computer Interaction. p. 1-18 18 p.

  Research output: Contribution to journal › Article › peer-review

  • Emotional Engagement 100%
  • Internet-Of-Things 100%
  • Understandability 100%
  • Maintenance Task 100%
• 2018

  A study on user-controllable social exploratory search

  di Sciascio, C., Brusilovsky, P. & Veas, E., 2018, 23rd International Conference on Intelligent User Interfaces, ACM IUI. p. 353-364 12 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  • Information Resource 100%
  • Innovative Interface 100%
  • Search Technology 100%
  • Search Functionality 100%

• Bringing Nature into Our Lives

  Barreiros, C., Veas, E. & Pammer, V., 2018, International Conference on Human-Computer Interaction. Springer Verlag, Vol. 10902. p. 99-109 11 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

• Can a green thumb make the difference? Using a Nature Metaphor to Communicate Sensor Information of a Coffee Machine

  Barreiros, C., Pammer, V. & Veas, E., 9 Apr 2018, In: IEEE Consumer Electronics Magazine. 7, 3, p. 90-98

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Connected Device 100%
  • Visual Metaphor 100%
  • Emotional Connection 100%
  • Holographic Display 50%

• Finding traces of self-regulated learning in activity streams

  Cicchinelli, A. I., Veas, E. E., Pardo, A., Pammer-Schindler, V., Fessl, A., Souta Barreiros, C. A. & Lindstaedt, S., Mar 2018, Proceeding LAK '18 Proceedings of the 8th International Conference on Learning Analytics and Knowledge. Association of Computing Machinery, p. 191 200 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  • Regulation Strategy 100%
  • Self-Regulation 100%
  • Student Interaction 50%
  • Subjective Assessment 50%
  • Cognitive Strategy 25%

• Flexible Scheduling for Human Robot Collaboration in Intralogistics Teams

  Gursch, H. G., Silva, N., Reiterer, B., Paletta, L., Bernauer, P., Fuchs, M., Veas, E. E. & Kern, R., 2018, Mensch und Computer 2018 - Workshopband. Dachselt, R. & Weber, G. (eds.). Bonn: Gesellschaft für Informatik e.V., p. 849-852 4 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

• Investigating Interactions for Text Recognition using a Vibrotactile Wearable Display

  Luzhnica, G. & Veas, E., 2018, 23rd International Conference on Intelligent User Interfaces, ACM IUI. p. 453-465 13 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  • Wearable Display 100%
  • Textual Information 50%
  • Formative Study 50%

• Leveraging Eye-gaze and Time-series Features to Predict User Interests and Build a Recommendation Model for Visual Analysis

  Silva, N., Schreck, T., Veas, E., Sabol, V., Eggeling, E. & Fellner, D., 2018, Proceedings - ETRA 2018: 2018 ACM Symposium on Eye Tracking Research and Applications. Association of Computing Machinery, a13

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Preattentive Feature 100%

• Passive haptic learning for vibrotactile skin reading

  Luzhnica, G., Veas, E. & Seim, C., 2018, Proceedings of the 2018 ACM International Symposium on Wearable Computers, ISWC. p. 40-43 4 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

• Passive Haptic Learning for Vibrotactile Skin-Reading: Comparison of Teaching Structures

  Luzhnica, G., Veas, E. & Seim, C., 2018, Georgia Tech Library.

  Research output: Working paper

  • Structure Learning 100%

• Skin Reading Meets Speech Recognition and Object Recognition for Sensory Substitution

  Luzhnica, G. & Veas, E., 2018, Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers. p. 146-149 4 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  • Sensory Substitution 100%
  • Research Subject 100%
  • Target Application 33%
  • Vision Impairment 33%
  • User Environment 33%

• Towards a Learning Dashboard for Community Visualization

  Mutlu, B., Simic, I., Cicchinelli, A., Sabol, V. & Veas, E., 2018, Proceedings of the 1th Workshop on Analytics for Everyday Learning co-located with the 13th European Conference on Technology Enhanced Learning (EC-TEL 2018), Leeds, UK. CEUR Workshop Proceedings

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access
• 2017

  AFEL: Towards Measuring Online Activities Contributions to Self-Directed Learning

  d’Aquin, M., Adamou, A., Dietze, S., Fetahu, B., Gadiraju, U., Hasani-Mavriqi, I., Holtz, P., Kimmerle, J., Kowald, D., Lex, E., L´opez Sola, S., Maturana, R. A., Sabol, V., Troullinou, P. & Veas, E. E., 2017, CEUR Workshop Proceedings. (CEUR Workshop Proceedings; vol. 1997).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Self-Reflection 100%
  • Online Activity 100%
  • Ethics 33%

• BioIoT: Communicating Sensory Information of a Coffee Machine Using a Nature Metaphor

  Souta Barreiros, C. A., Veas, E. E. & Pammer-Schindler, V., May 2017, Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. Association of Computing Machinery, p. 2388--2394 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review