Publikationer

Søg publikationer fra Institut for Datalogi

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

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Neerbek, J. (2020). Sensitive Information Detection: Recursive Neural Networks for Encoding Context. Århus Universitet.

Neerbek, J., Eskildsen, M., Dolog, P. & Assent, I. (2020). A real-world data resource of complex sensitive sentences based on documents from the Monsanto trial. I N. Calzolari, F. Bechet, P. Blache, K. Choukri, C. Cieri, T. Declerck, S. Goggi, H. Isahara, B. Maegaard, J. Mariani, H. Mazo, A. Moreno, J. Odijk & S. Piperidis (red.), LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings (s. 1258-1267). European Language Resources Association.

Nayara Ortiz, J., Ricardo de Araujo, R., Aranha, D. F., Rodrigues Costa, S. I. & Dahab, R. (2021). The Ring-LWE Problem in Lattice-based Cryptography: The Case of Twisted Embeddings. Entropy, 23(9), Artikel 1108. https://doi.org/10.3390/e23091108

Nasir, M. A. U., Aslay, C., de Francisi Morales, G. & Riondato, M. (2021). TipTap: Approximate Mining of Frequent k-Subgraph Patterns in Evolving Graphs. ACM Transactions on Knowledge Discovery from Data, 15(3), 1-35. Artikel 48. https://doi.org/10.1145/3442590

Musaeus, L. H., Nielsen, K., Damsgaard-Madsen, M. & Hansen, J. Ø. (2020). Computational thinking i gymnasiefag: en modelbaseret didaktik. Århus Universitet. https://cs.au.dk/fileadmin/www.cct.au.dk/cctd.au.dk/PDFs/CT-didaktik2020.pdf

Musaeus, L. H., Petersen, M. G., Klokmose, C. N. & Iversen, O. S. (2022). CoTinker - A Toolkit for Supporting Computational Thinking and Collaboration in High School Education. I SIGCSE 2022: Proceedings of the 53rd ACM Technical Symposium on Computer Science Education (Bind 2, s. 1025). Association for Computing Machinery. https://doi.org/10.1145/3478432.3499234

Musaeus, L. H., Sørensen, M.-L. S. K., Palfi, B. S., Iversen, O. S., Klokmose, C. N. & Petersen, M. G. (2022). CoTinker: Designing a Cross-device Collaboration Tool to Support Computational Thinking in Remote Group Work in High School Biology. I Participative Computing for Sustainable Futures : Proceedings of the 12th Nordic Conference on Human-Computer Interaction (NordiCHI’22) Artikel 49 Association for Computing Machinery. https://doi.org/10.1145/3546155.3546709

Musaeus, L. H., Van Mechelen, M., Caspersen, M. E. & Iversen, O. S. (2022). Empowerment through computational thinking: A literature survey. Acta Didactica Norden, 16(4), Artikel 1. https://doi.org/10.5617/adno.9152

Musaeus, L. H., Hansen, J. Ø. & Nielsen, K. (2023). Computational thinking i matematik, naturfag og samfundsfag: hvorfor, hvad og hvordan? . MONA - Matematik- og Naturfagsdidaktik, 2023(1), 45-71.

Munteanu, A., Sohler, C., Schwiegelshohn, C. & Woodruff, D. P. (2018). On coresets for logistic regression. Advances in Neural Information Processing Systems, 2018-December, 6561-6570.

Munro, J. I., Navarro, G., Nielsen, J. A. S. & ShaH, R. (2014). Top- k Term-Proximity in Succinct Space. I H.-K. Ahn & C.-S. Shin (red.), Algorithms and Computation: 25th International Symposium, ISAAC 2014, Proceedings (s. 169-180 ). Springer VS. https://doi.org/10.1007/978-3-319-13075-0_14

Munch-Hansen, A., Orlandi, C. & Yakoubov, S. (2021). Stronger Notions and a More Efficient Construction of Threshold Ring Signatures. I P. Longa & C. Ràfols (red.), Progress in Cryptology – LATINCRYPT 2021 : 7th International Conference on Cryptology and Information Security in Latin America, Proceedings (s. 363-381). Springer. https://doi.org/10.1007/978-3-030-88238-9_18

Munch-Hansen, A., Malozemoff, A. & Rosen, M. (2023). Pecorino: More Efficient Zero-Knowledge for RAM Programs.

Munch-Hansen, A., Baum, C., Scholl, P. & Braun, L. (2023). Cheddar -- Oh, Range Proofs for VOLE-based Zero-Knowledge!

Munch-Hansen, A. (2023). Quattro Formaggi: Zero-Knowledge from VOLE. Århus Universitet.

Müller-Lennert, M., Dupont-Dupuis, F., Szehr, O., Fehr, S. & Tomamichel, M. (2013). On quantum Rényi entropies: A new generalization and some properties. Journal of Mathematical Physics, 54(12), Artikel 122203. https://doi.org/10.1063/1.4838856

Müller, E., Assent, I., Günnemann, S., Seidl, T. & Dy, J. (2015). MultiClust special issue on discovering, summarizing and using multiple clusterings. Machine Learning, 98(1-2), 1-5. https://doi.org/10.1007/s10994-014-5445-0

Müller, J., Eberle, D. & Schmidt, C. (2015). BaseLase: An Interactive Focus + Context Laser Floor. I B. Begole & J. Kim (red.), CHI '15, Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (s. 3869-3878 ). Association for Computing Machinery. http://dx.doi.org/10.1145/2702123.2702246

Müller, J., Oulasvirta, A. & Murray-Smith, R. (2017). Control theoretic models of pointing. ACM Transactions on Computer-Human Interaction, 24(4), Artikel 27. https://doi.org/10.1145/3121431

Müller, J. (2017). Dynamics of pointing with pointer acceleration. I R. Bernhaupt, G. Dalvi, A. Joshi, D. K. Balkrishan, J. O'Neill & M. Winckler (red.), Human-Computer Interaction - INTERACT 2017 - 16th IFIP TC 13 International Conference, Proceedings (Bind 10515 LNCS, s. 475-495). Springer VS. https://doi.org/10.1007/978-3-319-67687-6_33

Müller, M., Schuster, P., Starup, J. L., Ostermann, K. & Brachthäuser, J. I. (2023). From Capabilities to Regions: Enabling Efficient Compilation of Lexical Effect Handlers. Proceedings of the ACM on Programming Languages , 7(OOPSLA2), Artikel 255. https://doi.org/10.1145/3622831

Muller, E., Assent, I., Iglesias, P., Mülle, Y. & Böhm, K. B. (2012). Outlier Ranking via Subspace Analysis in Multiple Views of the Data. I Proceedings of the 12th IEEE International Conference on Data Mining, ICDM (s. 529 - 538 ). IEEE Communications Society. https://doi.org/10.1109/ICDM.2012.112

Muller, M., Neureiter, K., Verdezoto, N., Krischkowsky, A., Al Zubaidi-Polli, A. M. & Tscheligi, M. (2016). Collaborative Appropriation: How Couples, Teams, Groups and Communities Adapt and Adopt Technologies. I Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing Companion, CSCW 2016 Companion: CSCW '16 Companion (s. 473-480). Association for Computing Machinery. https://doi.org/10.1145/2818052.2855508

Mukherjee, P. (2015). Protecting Cryptographic Memory against Tampering Attack. Department of Computer Science, Aarhus University.

Mukherjee, P. & Wichs, D. (2015). Two Round MPC from LWE via Multi-Key FHE. Cryptology ePrint Archive. http://eprint.iacr.org/2015/345

Mueller, F., Petersen, M. G. & Li, Z. (2023). Technology futures: Towards understanding how to design awe-inspiring futures. International Journal of Human Computer Studies, 170, Artikel 102961. https://doi.org/10.1016/j.ijhcs.2022.102961

Mu, Q., Borowski, M., Grønbæk, J. E., Bødker, S. & Hoggan, E. (2024). Whispering Through Walls: Towards Inclusive Backchannel Communication in Hybrid Meetings. I CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems Artikel 1032 Association for Computing Machinery, Inc.. https://doi.org/10.1145/3613904.3642419

Mottin, D., Marascu, A., Basu Roy, S., Das, G., Palpanas, T. & Velegrakis, Y. (2013). A Probabilistic Optimization Framework for the Empty-Answer Problem. PVLDB, 6(14).

Mottin, D., Palpanas, T. & Velegrakis, Y. (2013). Entity ranking using click-log information. Intelligent Data Analysis, 17(5), 837-856.

Mottin, D., Lissandrini, M., Velegrakis, Y. & Palpanas, T. (2019). Exploring the Data Wilderness through Examples. I SIGMOD 2019 - Proceedings of the 2019 International Conference on Management of Data (s. 2031-2035). Association for Computing Machinery. https://doi.org/10.1145/3299869.3314031

Mortensen, D. H., Hepworth, S. J., Berg, K. S. & Petersen, M. G. (2012). "It's in Love with You". Communicating Status and Preference with Simple Product Movements. I CHI EA '12: Extended abstracts on Human Factors in Computing Systems (s. 61-70). Association for Computing Machinery. https://doi.org/10.1145/2212776.2212784

Mortensen, M. L., Chester, S., Assent, I. & Magnani, M. (2015). Efficient caching for constrained skyline queries. I International Conference on Extending Database Technology (EDBT 2015) (s. 337-348). openproceedings.org. https://doi.org/10.5441/002/edbt.2015.30

Mortensen, M. L. (2016). Multi-Criteria Decision Support Queries in Exploratory & Open World Settings.

Mortensen, K. O., Zardbani, F., Haque, M. A., Agustsson, S. Y., Mottin, D., Hofmann, P. & Karras, P. (2023). Marigold: Efficient k-means Clustering in High Dimensions. Proceedings of the VLDB Endowment, 16(7), 1740-1748. https://doi.org/10.14778/3587136.3587147

Moreira, J. M. M., Jensen, C. S., Dias, P. & Mesquita, P. (2013). Creating data representations for moving objects with extent from images. I Presented at the COST MOVE Workshop at Moving Objects at Sea, Brest, France, June 28–29, 2013

Moradan, A., Draganov, A., Mottin, D. & Assent, I. (2021). UCoDe: Unified Community Detection with Graph Convolutional Networks.

Moradan, A., Draganov, A., Mottin, D. & Assent, I. (2023). UCoDe: unified community detection with graph convolutional networks. Machine Learning, 112(12), 5057-5080. https://doi.org/10.1007/s10994-023-06402-0

Moradan, A. (2024). On the Expressiveness of Community Detection in Complex Networks. Aarhus University.

Moon, B., Jun, J. Y., Lee, J., Kim, K., Hachisuka, T. & Yoon , S. E. (2013). Robust Image Denoising using a Virtual Flash Image for Monte Carlo Ray Tracing. Computer Graphics Forum, 32(1), 139–151. https://doi.org/10.1111/cgf.12004

Monti, C., Manco, G., Aslay, C. & Bonchi, F. (2021). Learning Ideological Embeddings from Information Cascades. I Proceedings of the 30th ACM International Conference on Information & Knowledge Management (CIKM '21) (s. 1325-1334). Association for Computing Machinery. https://doi.org/10.1145/3459637.3482444

Møller-Nielsen, P. (2022). Undersøgelser omkring analyse og manipulation af musik og tale: En antologi.

Møller-Nielsen, P. (2022). Two Extensions of a Phase Vocoder.

Møller, A. & Schwarz, M. (2012). Automated Detection of Client-State Manipulation Vulnerabilities. I M. Glinz, G. Murphy & M. Pezzè (red.), 34th International Conference on Software Engineering (ICSE 2012) : Proceedings (s. 749 - 759 ). IEEE Communications Society. https://doi.org/10.1109/ICSE.2012.6227143

Møller, A. & Schwarz, M. R. (2014). Automated Detection of Client-State Manipulation Vulnerabilities. A C M Transactions on Software Engineering and Methodology, 23/4, Artikel 29. https://doi.org/10.1145/2531921

Møller, A. & Naik, M. (2015). SOAP'15: Proceedings of the 4th ACM SIGPLAN International Workshop on State Of the Art in Program Analysis. I Proceedings of the 4th ACM SIGPLAN International Workshop on State Of the Art in Program Analysis Association for Computing Machinery. http://dl.acm.org/citation.cfm?id=2771284

Møller, A. (2018). Technical Perspective: WebAssembly: A Quiet Revolution of the Web. Communications of the A C M, 61(12), 106-106. https://doi.org/10.1145/3282508

Møller, A. & Torp, M. T. (2019). Model-based testing of breaking changes in Node.js libraries. I S. Apel, M. Dumas, A. Russo & D. Pfahl (red.), ESEC/FSE 2019 - Proceedings of the 2019 27th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering (s. 409-419). Association for Computing Machinery. https://doi.org/10.1145/3338906.3338940

Møller, A. & Veileborg, O. H. (2020). Eliminating abstraction overhead of Java stream pipelines using ahead-of-time program optimization. Proceedings of the ACM on Programming Languages , 4(OOPSLA), Artikel 168. https://doi.org/10.1145/3428236

Møller, A. & Sridharan, M. (red.) (2021). 35th European Conference on Object-Oriented Programming, ECOOP 2021, July 11-17, 2021, Aarhus, Denmark (Virtual Conference). I A. Møller & M. Sridharan (red.), 35th European Conference on Object-Oriented Programming (ECOOP 2021) (s. vii-ix). Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.ECOOP.2021.0

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