Publikationer

Søg publikationer fra Institut for Datalogi

Liste over publikationer af videnskabelige medarbejdere fra Institut for Datalogi, Aarhus Universitet.

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Mathiasen, A., Hvilshøj, F., Jørgensen, J. R., Nasery, A. & Mottin, D. (2020). What if Neural Networks had SVDs? I H. Larochelle, M. Ranzato, R. Hadsell, M. F. Balcan & H. Lin (red.), Advances in Neural Information Processing Systems 33 pre-proceedings (NeurIPS 2020) (Bind 2020-December)

Eagan, J. R., Lecolinet, E. & Klokmose, C. N. (2013). What are Applications in Multi-Surface Environments. Afhandling præsenteret på POWERWALL, Paris, Frankrig. http://www.powerwall.mdx.ac.uk/papers/POWERWALL-Eagan.pdf

Amores-Sesar, I. & Cachin, C. (2025). We Will DAG You. I J. Garcia-Alfaro, K. Barker, G. Navarro-Arribas, C. Pérez-Solà, S. Delgado-Segura, S. Katsikas, F. Cuppens, C. Lambrinoudakis, N. Cuppens-Boulahia, M. Pawlicki & M. Choraś (red.), Computer Security. ESORICS 2024 International Workshops - DPM, CBT, and CyberICPS, Bydgoszcz, 2024, Revised Selected Papers (s. 276-291). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-82349-7_19

Moad, S., Hansen, M. T., Jurdak, R., Kusy, B. & Bouabdallah, N. (2011). WETX: A Weighted Expected Transmission Routing Metric for Diversity in Wireless Sensor Networks. I Wireless Days (WD), 2011 IFIP (s. 1-7). IEEE. https://doi.org/10.1109/WD.2011.6098162

Caragiannis, I., Mehlhorn, K. & Rathi, N. (2025). Welfare-Optimal Serial Dictatorships Have Polynomial Query Complexity. Proceedings of the AAAI Conference on Artificial Intelligence, 39(13), 13675-13682. https://doi.org/10.1609/aaai.v39i13.33494

Brewster, S. & Bødker, S. (2013). Welcome to CHI 2013! Conference on Human Factors in Computing Systems - Proceedings, 2013-April, vii.

Pientka, B., Blazy, S., Traytel, D. & Timany, A. (2024). Welcome from the Chairs. I CPP 2024 - Proceedings of the 13th ACM SIGPLAN International Conference on Certified Programs and Proofs, Co-located with: POPL 2024 (s. iii-iv)

Blazy, S., Tabareau, N., Stark, K. & Timany, A. (2025). Welcome from the Chairs. I CPP '25: Proceedings of the 14th ACM SIGPLAN International Conference on Certified Programs and Proofs (s. iii-iv). Association for Computing Machinery. https://doi.org/10.1145/3703595

Chiba, S., Klokmose, C. N. & Gordon, C. S. (2025). Welcome from the Chairs. I Onward! '25: Proceedings of the 2025 ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Software (s. III). Association for Computing Machinery. https://doi.org/10.1145/3759429

Babai, L., Hansen, K. A., Podolskii, V. V. & Sun, X. (2010). Weights of Exact Threshold Functions. Lecture Notes in Computer Science, 6281, 66-77. https://doi.org/10.1007/978-3-642-15155-2_8

Babai, L., Hansen, K. A., Podolskii, V. V. & Sun, X. (2021). Weights of exact threshold functions. Izvestiya: Mathematics, 85(6), 1039-1059. https://doi.org/10.1070/IM9113

Ackerman, M., Ben-David, S., Branzei, S. & Loker, D. (2012). Weighted Clustering. I Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence (s. 858-863). AAAI Press.

Kamp, S. H., Magri, B., Matt, C., Nielsen, J. B., Thomsen, S. E. & Tschudi, D. (2021). Weight-Based Nakamoto-Style Blockchains. I P. Longa & C. Ràfols (red.), Progress in Cryptology – LATINCRYPT 2021: 7th International Conference on Cryptology and Information Security in Latin America Bogotá, Colombia, October 6–8, 2021, Proceedings (s. 299-319). Springer International Publishing. https://doi.org/10.1007/978-3-030-88238-9_15

Grønbæk, K., Sloth, L. & Ørbæk, P. (1999). Webvise: Browser and Proxy support for open hypermedia structuring mechanisms on the WWW. Computer Networks, 31(11-16), 1331-1345. https://doi.org/10.1016/S1389-1286(99)00046-8

Grønbæk, K. (1999). Webvise: An object oriented open hypermedia system for the Web. Softwareprogram

Sheng, Q. Z., Wang, G., Jensen, C. S. & Xu, G. (red.) (2012). Web Technologies and Applications: 14th Asia-Pacific Web Conference, APWeb 2012, Kunming, China, April 11-13, 2012. Proceedings. Springer. Lecture Notes in Computer Science Bind 7235 https://doi.org/10.1007/978-3-642-29253-8

Borowski, M. & Klokmose, C. N. (2022). Webstrates, Codestrates v2, and Varv: A Software Stack for Computational Media. I Participative Computing for Sustainable Futures : Adjunct Proceedings of the 12th Nordic Conference on Human-Computer Interaction (NordiCHI’22) Artikel 30 Association for Computing Machinery. https://doi.org/10.1145/3547522.3547714

Klokmose, C. N., Eagan, J. R., Baader, S., Mackay, W. & Beaudouin-Lafon, M. (2015). Webstrates: Shareable Dynamic Media. I UIST'15 Proceedings of the 28th annual ACM symposium on User interface software and technology (UIST '15) Association for Computing Machinery. https://doi.org/10.1145/2807442.2807446

Klokmose, C. N., Eagan, J., Baader, S., Mackay, W. & Beaudouin-Lafon, M. (2016). Webstrates: Demonstrating the potential of shareable dynamic media. I Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing Companion, CSCW 2016 Companion: CSCW '16 Companion (s. 61-64). Association for Computing Machinery. https://doi.org/10.1145/2818052.2874325

Thomsen, J. G., Ernst, E., Brabrand, C. & Schwartzbach, M. I. (2012). WebSelF: A Web Scraping Framework . Lecture Notes in Computer Science, 7387, 347-361. https://doi.org/10.1007/978-3-642-31753-8_28

Hansen, K. A., Liu, T. X. & Malekian, A. (red.) (2022). Web and Internet Economics: 18th International Conference, WINE 2022, Troy, NY, USA, December 12-15, 2022, Proceedings. Springer. Lecture Notes in Computer Science Bind 13778 https://doi.org/10.1007/978-3-031-22832-2

Bohøj, M. (2009). Web 2.0 Technologies in a Governmental Setting. Poster-session præsenteret på First and Seventeenth International Conference on User Modeling, Adaptation, and Personalization, UMAP 2009, Trento, Italien. http://umap09.fbk.eu/sites/umap09.fbk.eu/files/paper_172.pdf

Nyborg, J. C. & Assent, I. (2021). Weakly-Supervised Cloud Detection with Fixed-Point GANs. IEEE Transactions on Big Data, 4191-4198. https://doi.org/10.1109/BigData52589.2021.9671405

Büscher, M., Eriksen, M. A., Kristensen, J. F. & Mogensen, P. H. (2004). Ways of Grounding Imagination. I PDC 04 Proceedings of the eighth conference on Participatory design: Artful Integration: Interweaving Media, Materials and Practices (Bind 1, s. 193-203). Association for Computing Machinery. https://doi.org/10.1145/1011870.1011893

Bertelsen, O. W. & Godsk, M. (2004). WAW - An Activity Theory Based Tool for Early Website Usability Assessment. International Journal of Human Resources Development and Management, 4(1), 73-93.

Møller-Nielsen, P. & Gejl Kristensen, J. (2008). Waterfield. (Video udg.).

Van Vlaenderen, W., Brulmans, J., Vermeulen, J. & Schöning, J. (2015). WatchMe: A Novel Input Method Combining a Smartwatch and Bimanual Interaction. -, 2091-2095. https://doi.org/10.1145/2702613.2732789

Scherer, M., Blaabjerg, J. F., Sjösten, A. & Maffei, M. (2025). Wanilla: Sound Noninterference Analysis for WebAssembly. I CCS 2025 - Proceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security (s. 126-140). Association for Computing Machinery. https://doi.org/10.1145/3719027.3765156

Brânzei, S., Filos-Ratsikas, A., Miltersen, P. B. & Zeng, Y. (2017). Walrasian pricing in multi-unit auctions. I K. G. Larsen, H. L. Bodlaender & J.-F. Raskin (red.), 42nd International Symposium on Mathematical Foundations of Computer Science, MFCS 2017 (Bind 83, s. 80:1-80:14). Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.MFCS.2017.80

Brânzei, S., Filos-Ratsikas, A., Miltersen, P. B. & Zeng, Y. (2023). Walrasian pricing in multi-unit auctions. Artificial Intelligence, 322, Artikel 103961. https://doi.org/10.1016/j.artint.2023.103961

Kaspersen, M. H., Bilstrup, K.-E. K., Van Mechelen, M., Hjorth, H. A., Bouvin, N. O. & Petersen, M. G. (2021). VotestratesML: A High School Learning Tool for Exploring Machine Learning and its Societal Implications. I Proceedings of 5th FabLearn Europe / MakeEd Conference 2021 Artikel 3466728 Association for Computing Machinery. https://doi.org/10.1145/3466725.3466728

Kaspersen, M. H. & Bilstrup, K.-E. K. (2020). VotestratesML: Social Studies as a Vehicle for Teaching Machine Learning. I B. Tangney, J. R. Byrne & C. Girvan (red.), Proceedings of the 2020 Constructionism Conference (s. 44-45)

Liu, Z., Stepanenko, S., Pichon-Pharabod, J., Timany, A., Askarov, A. & Birkedal, L. (2023). VMSL: A Separation Logic for Mechanised Robust Safety of Virtual Machines Communicating above FF-A. Proceedings of the ACM on Programming Languages , 7, 1438-1462. https://doi.org/10.1145/3591279

Holzhüter, C., Lex, A., Schmalstieg, D., Schulz, H.-J., Schumann, H. & Streit, M. (2012). Visualizing uncertainty in biological expression data. I P. C. Wong, D. L. Kao, M. C. Hao, C. Chen, R. Kosara, M. A. Livingston, J. Park & I. Roberts (red.), Proceedings of the Conference on Visualization and Data Analysis VDA 2012 SPIE - International Society for Optical Engineering. https://doi.org/10.1117/12.908516

Vernica, T., Lipman, R., Kramer, T., Kwon, S. & Bernstein, W. Z. (2022). Visualizing Standardized Model-Based Design and Inspection Data in Augmented Reality. Journal of Computing and Information Science in Engineering, 22(4), Artikel 041001. https://doi.org/10.1115/1.4053154

Ondov, B., Patel, H. B., Kuo, A. T., Kastner, J., Han, Y., Wei, H., Elmqvist, N. & Samet, H. (2024). Visualizing multilayer spatiotemporal epidemiological data with animated geocircles. Journal of the American Medical Informatics Association, 31(11), 2507-2518. https://doi.org/10.1093/jamia/ocae234

Poulsen, S. H., Fjord-Larsen, M., Hansen, F. A. & Christensen, B. G. (2001). Visualizing guided tours with W3D. Poster-session præsenteret på The 12th ACM Conference on Hypertext and Hypermedia, Århus, Danmark.

Poulsen, S. H., Fjord-Larsen, M., Hansen, F. A. & Christensen, B. G. (2001). Visualizing guided tours. Poster-session præsenteret på Conference on Hypertext and Hypermedia. Hypertext '01, Århus, Danmark. http://www.daimi.au.dk/~fah/papers/ht01-paper-final.pdf

Schulz, H.-J. & Schumann, H. (2006). Visualizing Graphs - A Generalized View. I E. Banissi, R. A. Burkhard, A. Ursyn, J. J. Zhang, M. Bannatyne, C. Maple, A. J. Cowell, G. Y. Tian & M. Hou (red.), Proceedings of the 10th International Conference on Information Visualisation (IV'06) (s. 166-173). IEEE. https://doi.org/10.1109/IV.2006.130

Sørensen, T. S., Pedersen, E. M., Hansen, O. K. & Sørensen, K. (2003). Visualization of morphological details in congenitally malformed hearts: virtual three-dimensional reconstruction from magnetic resonance imaging. Cardiology in the Young, 13(5), 451-60.

Hadlak, S., Tominski, C., Schulz, H.-J. & Schumann, H. (2010). Visualization of attributed hierarchical structures in a spatiotemporal context. International Journal of Geographical Information Science, 24(10), 1497-1513. https://doi.org/10.1080/13658816.2010.510840

Shin, S., Hong, S. & Elmqvist, N. (2025). Visualizationary: Automating Design Feedback for Visualization Designers Using Large Language Models. IEEE Transactions on Visualization and Computer Graphics, 31(10), 8796-8813. https://doi.org/10.1109/TVCG.2025.3579700

Newburger, E. & Elmqvist, N. (2024). Visualization According to Statisticians: An Interview Study on the Role of Visualization for Inferential Statistics. IEEE Transactions on Visualization and Computer Graphics, 30(1), 230-239. https://doi.org/10.1109/TVCG.2023.3326521

Chou, M. & Schulz, H.-J. (2025). Visual Fingerprints for Detecting Data Characteristics. I 2025 IEEE Visualization and Visual Analytics (VIS) (s. 106-110). IEEE. https://doi.org/10.1109/VIS60296.2025.00027

Madsen, J., Sode, L., Dahl, J. F., Corredig, M. & Schulz, H.-J. (2022). Visual Exploration of Rheological Test Results from Soft Materials. I Proceedings - 2022 1st International Workshop on Visualization in Testing of Hardware, Software, and Manufacturing, TestVis 2022 (s. 1-7). IEEE. https://doi.org/10.1109/TestVis57757.2022.00006

Klokmose, C. N. (2013). Visual Attributes for Face Images: A review of Describable Visual Attributes for Face Images, by Neraaj Kumar. Dissertation Reviews, (10. January). http://dissertationreviews.org/archives/2053

Schulz, H.-J., Uhrmacher, A. M. & Schumann, H. (2011). Visual Analytics for Stochastic Simulation in Cell Biology. I S. Lindstaedt & M. Granitzer (red.), Proceedings of the Special Track on Theory and Applications of Visual Analytics (TAVA) of the i-Know'11 Conference Artikel 48 Association for Computing Machinery. https://doi.org/10.1145/2024288.2024345

Schulz, H.-J., John, M., Unger, A. & Schumann, H. (2008). Visual Analysis of Bipartite Biological Networks. I C. P. Botha, G. Kindlmann, W. Niessen & B. Preim (red.), Proceedings of the Eurographics Workshop on Visual Computing for Biomedicine VCBM 2008 (s. 135-142). Eurographics Association. https://doi.org/10.2312/VCBM/VCBM08/135-142

Horak, T., Mathisen, A., Klokmose, C. N., Dachselt, R. & Elmqvist, N. (2019). Vistribute: Distributing Interactive Visualizations in Dynamic Multi-Device Setups. I CHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems Artikel 616 Association for Computing Machinery. https://doi.org/10.1145/3290605.3300846

Bardam, S. K., Mathisen, A., Rädle, R., Klokmose, C. N. & Elmqvist, N. (2019). Vistrates: A Component Model for Ubiquitous Analytics. IEEE Transactions on Visualization and Computer Graphics, 25(1), 586-596. Artikel 8440803. https://doi.org/10.1109/TVCG.2018.2865144

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