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Søg publikationer fra Institut for Datalogi

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

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Elmqvist, N., Liu, S. & Pascucci, V. (2024). Editorial Guest Editors' Introduction. IEEE Transactions on Visualization and Computer Graphics, 30(6), 2860-2861. https://doi.org/10.1109/TVCG.2024.3373233
Zhong, Z. & Mottin, D. (2024). Efficiently Predicting Mutational Effect on Homologous Proteins by Evolution Encoding. I A. Bifet, J. Davis, T. Krilavičius, M. Kull, E. Ntoutsi & I. Žliobaitė (red.), Machine Learning and Knowledge Discovery in Databases. Research Track: European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9–13, 2024, Proceedings, Part VII (s. 399-415). Springer Science+Business Media. https://doi.org/10.1007/978-3-031-70368-3_24
Hall-Andersen, M. N. (2024). Either/Or. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.
Aguirre, A., Haselwarter, P. G., De Medeiros, M., Li, K. H., Gregersen, S. O., Tassarotti, J. & Birkedal, L. (2024). Error Credits: Resourceful Reasoning about Error Bounds for Higher-Order Probabilistic Programs. Proceedings of the ACM on Programming Languages , 8, Artikel 246. https://doi.org/10.1145/3674635
Caragiannis, I. & Homrighausen, S. (2024). Estimating the Expected Social Welfare and Cost of Random Serial Dictatorship. I G. Schäfer & C. Ventre (red.), Algorithmic Game Theory - 17th International Symposium, SAGT 2024, Proceedings (s. 184–201). Springer. https://doi.org/10.1007/978-3-031-71033-9_11
Khani, P., Moeinaddini, E., Abnavi, N. D. & Shahraki, A. (2024). Explainable artificial intelligence for feature selection in network traffic classification: A comparative study. Transactions on Emerging Telecommunications Technologies, 35(4), Artikel e4970. https://doi.org/10.1002/ett.4970
Turkmen, R., Gelmez, Z. E., Batmaz, A. U., Stuerzlinger, W., Asente, P., Sarac, M., Pfeuffer, K. & Machuca, M. D. B. (2024). EyeGuide & EyeConGuide: Gaze-based Visual Guides to Improve 3D Sketching Systems. I CHI 2024 - Proceedings of the 2024 CHI Conference on Human Factors in Computing Sytems Artikel 178 Association for Computing Machinery. https://doi.org/10.1145/3613904.3641947
Wagner, U., Jacobsen, A. A., Feuchtner, T., Gellersen, H. & Pfeuffer, K. (2024). Eye-Hand Movement of Objects in Near Space. I B. Ens & S. Carpendale (red.), ISS Companion 2024 - Companion Proceedings of the Conference on Interactive Surfaces and Spaces (s. 18-21). Association for Computing Machinery. https://doi.org/10.1145/3696762.3698044
Wagner, U., Jacobsen, A. A., Feuchtner, T., Gellersen, H. & Pfeuffer, K. (2024). Eye-Hand Movement of Objects in Near Space Extended Reality. I UIST 2024 - Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology Artikel 84 Association for Computing Machinery. https://doi.org/10.1145/3654777.3676446
Abdrabou, Y., Hassib, M., Hu, S., Pfeuffer, K., Khamis, M., Bulling, A. & Alt, F. (2024). EyeSeeIdentity: Exploring Natural Gaze Behavior for Implicit User Identification during Photo Viewing.
Ma, W. (2024). Fairness-aware Graph Mining. [Ph.d.-afhandling, Aarhus Universitet].
Svenning, R. & Sridhar, V. (2024). Fast Area-Weighted Peeling of Convex Hulls for Outlier Detection. I Proceedings of the 36th Canadian Conference on Computational Geometry (s. 233-240). The CCCG Library.
Aranha, D. F., Battagliola, M. & Roy, L. D. (2024). Faster coercion-resistant e-voting by encrypted sorting. I E-Vote-ID 2023 (s. 53-70). Gesellschaft fur Informatik (GI). https://doi.org/10.18420/e-vote-id2023_03
Higuchi, N., Imamura, Y., Mic, V., Shinohara, T., Hirata, K. & Kuboyama, T. (2024). Fast Filtering for Similarity Search Using Conjunctive Enumeration of Sketches in Order of Hamming Distance. I M. Castrillon-Santana, M. De Marsico & A. Fred (red.), Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods - ICPRAM (Bind 1, s. 499-510). SCITEPRESS Digital Library. https://doi.org/10.5220/0012322700003654
Bui, D., Couteau, G., Meyer, P., Passelègue, A. & Riahinia, M. (2024). Fast Public-Key Silent OT and More from Constrained Naor-Reingold. I M. Joye & G. Leander (red.), Advances in Cryptology – EUROCRYPT 2024 (s. 88-118). Springer. https://doi.org/10.1007/978-3-031-58751-1_4
Jakobsen, A. B., Jørgensen, R. S. M., van de Pol, J. & Pavlogiannis, A. (2024). Fast Symbolic Computation of Bottom SCCs. I B. Finkbeiner & L. Kovács (red.), Tools and Algorithms for the Construction and Analysis of Systems. TACAS 2024 (s. 110-128). Springer. https://doi.org/10.1007/978-3-031-57256-2_6
Mic, V. & Zezula, P. (2024). Filtering with relational similarity. Information Systems, 122, Artikel 102345. https://doi.org/10.1016/j.is.2024.102345
Petsinis, P., Tsourakakis, C. E. & Karras, P. (2024). Finding Dense and Persistently Expansive Subgraphs. I WWW 2024 Companion - Companion Proceedings of the ACM Web Conference (s. 553-556). Association for Computing Machinery. https://doi.org/10.1145/3589335.3651507
Kaspersen, M. H., Musaeus, L. H., Bilstrup, K. E. K., Petersen, M. G., Iversen, O. S., Dindler, C. & Dalsgaard, P. (2024). From Primary Education to Premium Workforce: Drawing on K-12 Approaches for Developing AI Literacy. I F. F. Mueller, P. Kyburz, J. R. Williamson, C. Sas, M. L. Wilson, P. Toups Dugas & I. Shklovski (red.), CHI' 2024: Proceedings of the CHI Conference on Human Factors in Computing Systems (s. 1-16). Artikel 268 Association for Computing Machinery. https://doi.org/10.1145/3613904.3642607
Larsen, K. G. (2024). From TCS to Learning Theory. I R. Kralovic & A. Kucera (red.), 49th International Symposium on Mathematical Foundations of Computer Science, MFCS 2024 Artikel 4 Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.MFCS.2024.4
Bommakanti, A., Vonteri, H. R., Skitsas, K., Ranu, S., Mottin, D. & Karras, P. (2024). FUGAL: Feature-fortified Unrestricted Graph Alignment. Afhandling præsenteret på The Thirty-eighth Annual Conference on Neural Information Processing Systems.
Cao, Z., Krieger, L., Scharr, H. & Assent, I. (2024). Galaxy Morphology Classification with Counterfactual Explanation. I Machine Learning and the Physical Sciences Workshop, NeurIPS 2024. https://ml4physicalsciences.github.io/2024/files/NeurIPS_ML4PS_2024_22.pdf
Manakhov, P., Sidenmark, L., Pfeuffer, K. & Gellersen, H. (2024). Gaze on the Go: Effect of Spatial Reference Frame on Visual Target Acquisition During Physical Locomotion in Extended Reality. I CHI 2024 - Proceedings of the 2024 CHI Conference on Human Factors in Computing Sytems Artikel 373 Association for Computing Machinery. https://doi.org/10.1145/3613904.3642915
Hou, B. J., Newn, J., Sidenmark, L., Khan, A. A. & Gellersen, H. (2024). GazeSwitch: Automatic Eye-Head Mode Switching for Optimised Hands-Free Pointing. Proceedings of the ACM on Human-Computer Interaction, 8(ETRA), Artikel 227. https://doi.org/10.1145/3655601
Gabel, J., Schmidt, S., Pfeuffer, K. & Steinicke, F. (2024). Guiding Handrays in Virtual Reality: Comparison of Gaze- and Object-Based Assistive Raycast Redirection. I S. N. Spencer (red.), Proceedings - SUI 2024: ACM Symposium on Spatial User Interaction Artikel 27 Association for Computing Machinery. https://doi.org/10.1145/3677386.3682080
Lystbæk, M. N., Mikkelsen, T., Krisztandl, R., Gonzalez, E. J., Gonzalez-Franco, M., Gellersen, H. & Pfeuffer, K. (2024). Hands-on, Hands-off: Gaze-Assisted Bimanual 3D Interaction. I UIST 2024 - Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology: Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology Artikel 80 Association for Computing Machinery. https://doi.org/10.1145/3654777.3676331
Fechete, L. I., Larking, A. C., Heslop, A., Hannaford, R., Anderson, C. B., Hong, W., Prakash, S., Mace, W., Alikhani, S., Hofmann, R. W., Tausen, M., Schierup, M. H., Andersen, S. U. & Griffiths, A. G. (2024). Harnessing cold adaptation for postglacial colonisation: Galactinol synthase expression and raffinose accumulation in a polyploid and its progenitors. Plant, Cell & Environment, 47(10), 4014-4030. https://doi.org/10.1111/pce.15009
Zhong, Z., Zhou, K. & Mottin, D. (2024). Harnessing Large Language Models as Post-hoc Correctors. I L.-W. Ku, A. Martins & V. Srikumar (red.), Findings of the Association for Computational Linguistics: ACL 2024 (s. 14559-14574). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2024.findings-acl.867
Cheng, Y. W., Zhong, Z., Pang, J. & Li, C. T. (2024). Hierarchical Bipartite Graph Convolutional Network for Recommendation. IEEE Computational Intelligence Magazine, 19(2), 49-60. https://doi.org/10.1109/MCI.2024.3363973
Alrøe, S. F., Hoggan, E. & Schulz, H.-J. (2024). Highways and Tunnels: Force Feedback Guidance for Visualisations. I C. Tominski, M. Waldner & B. Wang (red.), EuroVisShort2024 The Eurographics Association. https://doi.org/10.2312/evs.20241060
Neumann, L., Guimaraes, A., Aranha, D. F. & Borin, E. (2024). Homomorphic WiSARDs: Efficient Weightless Neural Network training over encrypted data. Abstract fra 4th Workshop on Artificial Intelligence and Cryptography, Zurich, Schweiz. https://arxiv.org/abs/2403.20190
Chakraborty, S., Krishna, S. N., Mathur, U. & Pavlogiannis, A. (2024). How Hard Is Weak-Memory Testing? Proceedings of the ACM on Programming Languages , 8, Artikel 66. https://doi.org/10.1145/3632908
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
Huang, C., Mathiasen, A., Dean, J., Mottin, D. & Assent, I. (2024). HUNIPU: Efficient Hungarian Algorithm on IPUs. I Proceedings - 2024 IEEE 40th International Conference on Data Engineering Workshops, ICDEW 2024 (s. 388-394). IEEE. https://doi.org/10.1109/ICDEW61823.2024.00062
Shaik, I., Mayer-Eichberger, V., van de Pol, J. & Saffidine, A. (2024). Implicit QBF Encodings for Positional Games. I M. Hartisch, C.-H. Hsueh & J. Schaeffer (red.), Advances in Computer Games - 18th International Conference, ACG 2023, Revised Selected Papers (s. 133-145). Springer. https://doi.org/10.1007/978-3-031-54968-7_12
Obremski, M., Ribeiro, J., Roy, L., Standaert, F.-X. & Venturi, D. (2024). Improved Reductions from Noisy to Bounded and Probing Leakages via Hockey-Stick Divergences. I L. Reyzin & D. Stebila (red.), Advances in Cryptology -- CRYPTO 2024 (s. 461-491). Springer Nature. https://doi.org/10.1007/978-3-031-68391-6_14
Srinivasan, A. & Chan, J. (2024). Improving Selection of Analogical Inspirations through Chunking and Recombination. I C&C '24: Proceedings of the 16th Conference on Creativity & Cognition (s. 374-397). Association for Computing Machinery. https://doi.org/10.1145/3635636.3656207
Chakraborty, M., Gnanakumar, A., Sridharan, M. & Møller, A. (2024). Indirection-Bounded Call Graph Analysis. I J. Aldrich & G. Salvaneschi (red.), 38th European Conference on Object-Oriented Programming, ECOOP 2024 Artikel 3 Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.ECOOP.2024.10
Blaabjerg, J. F. (2024). Information Flow Techniques for Mitigating Traffic Analysis. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.
Andersen, L. B., Basballe, D. A., Buus, L., Dindler, C., Hansen, T. I., Hjorth, M., Iversen, O. S., Johannessen, C. M., Kanstrup, K. H., Lorentzen, R. F., Misfeldt, M., Musaeus, L. H., Nielsen, C. B., Petersen, M. G., Schrøder, V. & Slot, M. F. (2024). Infrastructuring digital literacy in K-12 education: A national case study. International Journal of Child - Computer Interaction, 42, Artikel 100697. https://doi.org/10.1016/j.ijcci.2024.100697