Publikationer

Søg publikationer fra Institut for Datalogi

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

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Sheng, Q. Z., Wang, G. & Jensen, C. S. (2012). Message from the Program Chairs. I Web Technologies and Applications: 14th Asia-Pacific Web Conference, APWeb 2012, Kunming, China, April 11-13, 2012. Proceedings (s. VI). Springer. https://doi.org/10.1007/978-3-642-29253-8

Shao, J., Tan, Y., Gao, L., Yang, Q., Plant, C. & Assent, I. (2019). Synchronization-based clustering on evolving data stream. Information Sciences, 501, 573-587. https://doi.org/10.1016/j.ins.2018.09.035

Shaik, I. & Pol, J. V. D. (2021). Classical Planning as QBF without Grounding (extended version). (s. 1-17). CoRR https://arxiv.org/abs/2106.10138

Shaik, I. & van de Pol, J. (2022). Classical Planning as QBF without Grounding. I A. Kumar, S. Thiebaux, P. Varakantham & W. Yeoh (red.), Proceedings of the 32nd International Conference on Automated Planning and Scheduling, ICAPS 2022 (s. 329-337). AAAI Press. https://doi.org/10.1609/icaps.v32i1.19817

Shaik, I., Heisinger, M., Seidl, M. & Pol, J. V. D. (2023). Validation of QBF Encodings with Winning Strategies. Leibniz International Proceedings in Informatics, 271. https://doi.org/10.4230/LIPIcs.SAT.2023.24

Shaik, I. & van de Pol, J. (2023). Concise QBF Encodings for Games on a Grid (extended version). https://doi.org/10.48550/arXiv.2303.16949

Shaik, I., Mayer-Eichberger, V., van de Pol, J. & Saffidine, A. (2023). Implicit State and Goals in QBF Encodings for Positional Games (extended version). https://doi.org/10.48550/arXiv.2301.07345

Shaik, I. & van de Pol, J. (2023). Optimal Layout Synthesis for Quantum Circuits as Classical Planning. I 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD) IEEE. https://doi.org/10.1109/ICCAD57390.2023.10323924

Shaik, I. (2023). Concise Encodings for Planning and 2-Player Games. Århus Universitet.

Shaik, I. & Van de Pol, J. (2024). Optimal Layout Synthesis for Deep Quantum Circuits on NISQ Processors with 100+ Qubits. I S. Chakraborty & J.-H. R. Jiang (red.), 27th International Conference on Theory and Applications of Satisfiability Testing, SAT 2024 Artikel 26 Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.SAT.2024.26

Shaik, I. & Pol, J. V. D. (2024). Optimal Layout-Aware CNOT Circuit Synthesis with Qubit Permutation. I U. Endriss, F. S. Melo, K. Bach, A. J. B. Diz, J. M. Alonso-Moral, S. Barro & F. Heintz (red.), ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain - Including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024) (s. 4207-4215). IOS Press. https://doi.org/10.3233/FAIA240993

Sergey, I. & Clark, D. (2012). A correspondence between type checking via reduction and type checking via evaluation. Information Processing Letters, 112(1-2), 13-20. https://doi.org/10.1016/j.ipl.2011.10.008

Sergey, I., Midtgaard, J. & Clarke, D. (2012). Calculating Graph Algorithms for Dominance and Shortest Path. Lecture Notes in Computer Science, 7342, 132-156. https://doi.org/10.1007/978-3-642-31113-0_8

Sergey, I., Devriese, D., Might, M., Midtgaard, J., Darais, D., Clarke, D. & Piessens, F. (2013). Monadic abstract interpreters. I H.-J. Boehm (red.), Proceedings of the 34th ACM SIGPLAN Conference on Programming Language Design and Implementation, PLDI '13 (s. 399-410). Association for Computing Machinery. https://doi.org/10.1145/2491956.2491979

Seisenberger, M., ter Beek, M. H., Fan, X., Ferrari, A., Haxthausen, A. E., James, P., Lawrence, A., Luttik, B., van de Pol, J. & Wimmer, S. (2022). Safe and Secure Future AI-Driven Railway Technologies: Challenges for Formal Methods in Railway. I T. Margaria & B. Steffen (red.), Leveraging Applications of Formal Methods, Verification and Validation. Practice - 11th International Symposium, ISoLA 2022, Proceedings (s. 246-268). Springer. https://doi.org/10.1007/978-3-031-19762-8_20

Seinfeld, S., Feuchtner, T., Maselli, A. & Müller, J. (2021). User Representations in Human-Computer Interaction. Human-Computer Interaction, 36(5-6), 400-438. https://doi.org/10.1080/07370024.2020.1724790

Seinfeld, S., Feuchtner, T., Pinzek, J. & Müller, J. (2022). Impact of Information Placement and User Representations in VR on Performance and Embodiment. IEEE Transactions on Visualization and Computer Graphics, 28(3), 1545-1556. https://doi.org/10.1109/TVCG.2020.3021342

Segal, S., Adi, Y., Pinkas, B., Baum, C., Ganesh, C. & Keshet, J. (2021). Fairness in the Eyes of the Data: Certifying Machine-Learning Models. I AIES 2021 - Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society (s. 926-935). Association for Computing Machinery. https://doi.org/10.1145/3461702.3462554

Sedmidubsky, J., Mic, V. & Zezula, P. (2015). Face image retrieval revisited. I R. Connor, G. Amato, F. Falchi & C. Gennaro (red.), Similarity Search and Applications - 8th International Conference, SISAP 2015, Proceedings (s. 204-216). Springer Verlag. https://doi.org/10.1007/978-3-319-25087-8_19

Sebastian Stær Knudsen, M., Almskou Brodal, L., Peczalski, P. K., Moradan, A., Mottin, D. & Assent, I. (2022). GraB: Graph Benchmark for Heterogeneous Graph Clustering.

Sciannamblo, M., Teli, M., Lyle, P. J. & Csíkszentmihályi, C. (2020). Infrastructuring the commons today, when STS meets ICT. Journal of Peer Production, (14).

Schwiegelshohn, C. & Schwiegelshohn, U. (2016). The power of migration for online slack scheduling. I C. Zaroliagis & P. Sankowski (red.), 24th Annual European Symposium on Algorithms, ESA 2016 Artikel 75 Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.ESA.2016.75

Schwiegelshohn, C. & Sheikh-Omar, O. A. (2022). An Empirical Evaluation of k-Means Coresets. I S. Chechik, G. Navarro, E. Rotenberg & G. Herman (red.), 30th Annual European Symposium on Algorithms, ESA 2022 (s. 84:1-84:17). Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.ESA.2022.84

Schwiegelshohn, C. (2023). Fitting Data on a Grain of Rice. I I. Chatzigiannakis & I. Karydis (red.), Algorithmic Aspects of Cloud Computing: 8th International Symposium, ALGOCLOUD 2023, Amsterdam, The Netherlands, September 5, 2023, Revised Selected Papers (s. 1-8). Springer. https://doi.org/10.1007/978-3-031-49361-4_13

Schwarz, M. R. (2013). Design and Analysis of Web Application Frameworks. Datalogisk Institut, Aarhus Universitet.

Schwartzbach, N. I. (2021). An Incentive-Compatible Smart Contract for Decentralized Commerce. I IEEE International Conference on Blockchain and Cryptocurrency, ICBC 2021 (s. 1-3). IEEE. https://doi.org/10.1109/ICBC51069.2021.9461077

Schwartzbach, N. I. (2022). Payment Schemes from Limited Information with Applications in Distributed Computing. I EC '22: Proceedings of the 23rd ACM Conference on Economics and Computation (s. 129-149) https://doi.org/10.1145/3490486.3538342

Schwartzbach, N. I. (2023). Smart Contracts and Rationality. Århus Universitet.

Schulz, H.-J. (2010). Explorative Graph Visualization. https://doi.org/10.18453/rosdok_id00000674

Schulz, H.-J. (2011). Treevis.net: A Tree Visualization Reference. IEEE Computer Graphics and Applications, 31(6), 11-15. https://doi.org/10.1109/MCG.2011.103

Schulz, H.-J., Urban, B. & Lukas, U. F. V. (red.) (2015). Proceedings of the International Summer School on Visual Computing 2015. Fraunhofer Verlag. http://publica.fraunhofer.de/documents/N-370236.html

Schulz, H.-J., Nocke, T., Heitzler, M. & Schumann, H. (2013). A Design Space of Visualization Tasks. IEEE Transactions on Visualization and Computer Graphics, 19(12), 2366-2375. https://doi.org/10.1109/TVCG.2013.120

Schulz, H.-J. & Hadlak, S. (2015). Preset-based generation and exploration of visualization designs. Journal of Visual Languages Computing, 31 (Part A), 9-29. https://doi.org/10.1016/j.jvlc.2015.09.004

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

Schulz, H.-J., Nocke, T. & Schumann, H. (2006). A Framework for Visual Data Mining of Structures. -, 48, 157-166. http://crpit.com/abstracts/CRPITV48Schulz.html

Schulz, H.-J., Akbar, Z. & Maurer, F. (2013). A generative layout approach for rooted tree drawings. I S. Carpendale, W. Chen & S. Hong (red.), Proceedings of the IEEE Pacific Visualization Symposium PacificVis (s. 225-232). IEEE. https://doi.org/10.1109/PacificVis.2013.6596149

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

Schulz, H.-J., Hadlak, S. & Schumann, H. (2013). A Visualization Approach for Cross-level Exploration of Spatiotemporal Data. I S. Lindstaedt & M. Granitzer (red.), Proceedings of the International Conference on Knowledge Management and Knowledge Technologies (i-Know'13) Artikel 2 Association for Computing Machinery. https://doi.org/10.1145/2494188.2494199

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., Hadlak, S. & Schumann, H. (2011). The Design Space of Implicit Hierarchy Visualization: A Survey. IEEE Transactions on Visualization and Computer Graphics, 17(4), 393-411. https://doi.org/10.1109/TVCG.2010.79

Schulz, H.-J., Hadlak, S. & Schumann, H. (2011). Point-Based Visualization for Large Hierarchies. IEEE Transactions on Visualization and Computer Graphics, 17(5), 598-611. https://doi.org/10.1109/TVCG.2010.89

Schulz, H.-J., Hadlak, S. & Schumann, H. (2009). Point-based tree representation: A new approach for large hierarchies. I P. Eades, T. Ertl & H.-W. Shen (red.), Proceedings of the IEEE Pacific Visualization Symposium PacificVis (s. 81-88). IEEE. https://doi.org/10.1109/PACIFICVIS.2009.4906841

Schulz, H.-J., Röhlig, M., Nonnemann, L., Aehnelt, M., Diener, H., Urban, B. & Schumann, H. (2019). Lightweight Coordination of Multiple Independent Visual Analytics Tools. I A. Kerren, C. Hurter & J. Braz (red.), VISIGRAPP 2019 - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (Bind 2, s. 106-117). SCITEPRESS Digital Library. https://doi.org/10.5220/0007571101060117

Schulz, H.-J., Röhlig, M., Nonnemann, L., Hogräfer, M., Aehnelt, M., Urban, B. & Schumann, H. (2020). A Layered Approach to Lightweight Toolchaining in Visual Analytics. I A. P. Cláudio, K. Bouatouch, M. Chessa, A. Paljic, A. Kerren, C. Hurter, A. Tremeau & G. M. Farinella (red.), Computer Vision, Imaging and Computer Graphics Theory and Applications : 14th International Joint Conference, VISIGRAPP 2019, Revised Selected Papers (s. 313-337). Springer. https://doi.org/10.1007/978-3-030-41590-7_13

Schulz, H.-J. & Weaver, C. (2024). Transient Visual Analytics. I D. Fellner, D. Fellner, M. El-Assady & H.-J. Schulz (red.), EuroVA 2024 - EuroVis Workshop on Visual Analytics The Eurographics Association. https://doi.org/10.2312/eurova.20241108

Schulz, H.-J., Aupetit, M. & Fisher, D. (2024). Human Aspects. I J.-D. Fekete, D. Fisher & M. Sedlmair (red.), Progressive Data Analysis: Roadmap and Research Agenda (s. 108-131). Eurographics Association. https://doi.org/10.2312/pda.20242707

Schraefel, M. C., Rouncefield, M., Kellogg, W., Ackerman, M., Marsden, G., Bødker, S., Wyche, S. & Reddy, M. (2012). Domain crossing: how much expertise is enough? I S. Poltrock & C. Simone (red.), CSCW’12 : Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work Companion (s. 29-32). Association for Computing Machinery. https://doi.org/10.1145/2141512.2141529

Schougaard, K. R., Grønbæk, K. & Scharling, T. (2012). Indoor Pedestrian Navigation Based on Hybrid Route Planning and Location Modeling. Lecture Notes in Computer Science, 7319, 289-306. https://doi.org/10.1007/978-3-642-31205-2_18

Schou, J. K. R. & Wang, B. (2024). PersiSort: A New Perspective on Adaptive Sorting Based on Persistence. I R. I. Nishat (red.), Canadian Conference on Computational Geometry: Proceedings of the 36th Canadian Conference on Computational Geometry (CCCG 2024) Brock University, St. Catharines, Canada, July 17 - 19, 2024 (s. 287-312)

Scholl, P., Smart, N. P. & Wood, T. (2017). When It’s All Just Too Much: Outsourcing MPC-Preprocessing. I M. O'Neill (red.), Cryptography and Coding - 16th IMA International Conference, IMACC 2017, Proceedings (Bind 10655, s. 77-99). Springer VS. https://doi.org/10.1007/978-3-319-71045-7_4

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