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Department of Computer Science

Publications

Quiroga Martinez, D. R., Hansen, N. C., Højlund, A., Brattico, E. & Vuust, P. (2017). A new multifeature mismatch negativity (MMN) paradigm for the study of music perception with more real-sounding stimuli. Poster session presented at Donders Discussions 2017, Nejmegen, Netherlands.

Quiroga Martinez, D. R., Hansen, N. C., Højlund, A., Brattico, E. & Vuust, P. (2017). Perceptual processing of a complex auditory context: testing a new dichotic multifeature mismatch negativity (MMN) paradigm. Poster session presented at The Neurosciences and Music VI - Music, Sound and Health , Boston, Massachusetts, United States.

Quiroga Martinez, D. R., Hansen, N. C., Højlund, A., Brattico, E. & Vuust, P. (2017). Perceptual processing of a complex musical context: Testing a more realistic mismatch negativity (MMN) paradigm. Poster session presented at MEG NORD 2017, Aarhus, Denmark.

Quiroga Martinez, D. R., Hansen, N. C., Højlund, A., Brattico, E. & Vuust, P. (2017). Perceptual processing of a complex musical context: Testing a more realistic mismatch negativity paradigm. Abstract from European Society for Cognitive Sciences Of Music (ESCOM), Ghent, Belgium.

Spencer, B., Benedikt, M., Møller, A. & Breugel, F. V. (2017). ArtForm: A Tool for Exploring the Codebase of Form-based Websites. In K. Sen & T. Bultan (Eds.), ISSTA 2017 - Proceedings of the 26th ACM SIGSOFT International Symposium on Software Testing and Analysis (pp. 380-383). Association for Computing Machinery. https://doi.org/10.1145/3092703.3098226

Sridharan, K. S., Højlund, A., Johnsen, E. L., Sunde, N., Johansen, L. G., Beniczky, S. & Østergaard, K. (2017). Differentiated effects of deep brain stimulation and medication on somatosensory processing in Parkinson's disease. Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 128(7), 1327-1336. https://doi.org/10.1016/j.clinph.2017.04.014

Adamsen, C. Q., Møller, A., Alimadadi, S. & Tip, F. (2018). Practical AJAX Race Detection for JavaScript Web Applications. In G. T. Leavens, A. Garcia & C. S. Păsăreanu (Eds.), ESEC/FSE 2018 - Proceedings of the 2018 26th ACM Joint Meeting on European So ftware Engineering Conference and Symposium on the Foundations of So ftware Engineering (pp. 38-48). Association for Computing Machinery. https://doi.org/10.1145/3236024.3236038

Alimadadi, S., Zhong, D., Madsen, M. & Tip, F. (2018). Finding Broken Promises in Asynchronous JavaScript Programs. Proceedings of the ACM on Programming Languages , 2(OOPSLA), 162:1-162:26. Article 162. https://doi.org/10.1145/3276532

Chatterjee, K., Ibsen-Jensen, R., Goharshady, A. K. & Pavlogiannis, A. (2018). Algorithms for Algebraic Path Properties in Concurrent Systems of Constant Treewidth Components. ACM Transactions on Programming Languages and Systems, 40(3), Article 9. https://doi.org/10.1145/3210257

Chatterjee, K., Pavlogiannis, A., Koessler, A. & Schmid, U. (2018). Automated competitive analysis of real-time scheduling with graph games. Real-Time systems, 54(1), 166-207. https://doi.org/10.1007/s11241-017-9293-4

Chatterjee, K., Choudhary, B. & Pavlogiannis, A. (2018). Optimal Dyck Reachability for Data-Dependence and Alias Analysis. Proceedings of the ACM on Programming Languages , 2(POPL), Article 30. https://dl.acm.org/doi/abs/10.1145/3158118

Gansonre, C., Højlund, A., Leminen, A., Bailey, C. & Shtyrov, Y. (2018). Task-free auditory EEG paradigm for probing multiple levels of speech processing in the brain. Psychophysiology, 55(11), Article e13216. https://doi.org/10.1111/psyp.13216

Gebauer, L., Højlund, A. & Vuust, P. (2018). The no-standard musical multi-feature paradigm (MuMUFE). Poster session presented at MMN 2018: The 8th Mismatch Negativity Conference, Helsinki, Finland.

Li, Y., Tan, T., Møller, A. & Smaragdakis, Y. (2018). Precision-Guided Context Sensitivity for Pointer Analysis. Proceedings of the ACM on Programming Languages , 2(OOPSLA), 141:1-141:29. Article 141. https://doi.org/10.1145/3276511

Li, Y., Tan, T., Møller, A. & Smaragdakis, Y. (2018). Scalability-First Pointer Analysis with Self-Tuning Context-Sensitivity. In G. T. Leavens, A. Garcia & C. S. Păsăreanu (Eds.), ESEC/FSE 2018 - Proceedings of the 2018 26th ACM Joint Meeting on European So ftware Engineering Conference and Symposium on the Foundations of So ftware Engineering (pp. 129-140). Association for Computing Machinery. https://doi.org/10.1145/3236024.3236041

Madsen, M. & Lhoták, O. (2018). Implicit Parameters for Logic Programming. In D. Sabel & P. Thiemann (Eds.), Proceedings of the 20th International Symposium on Principles and Practice of Declarative Programming Article 14 Association for Computing Machinery. https://doi.org/10.1145/3236950.3236953

Madsen, M. & Lhoták, O. (2018). Safe and Sound Program Analysis with Flix. In E. Bodden & F. Tip (Eds.), ISSTA 2018 - Proceedings of the 27th ACM SIGSOFT International Symposium on Software Testing and Analysis (pp. 38-48). Association for Computing Machinery. https://doi.org/10.1145/3213846.3213847

Madsen, M., Zarifi, R. & Lhoták, O. (2018). Tail Call Elimination and Data Representation for Functional Languages on the Java Virtual Machine. In J. Xue & C. Dubach (Eds.), CC 2018 - Proceedings of the 27th International Conference on Compiler Construction, Co-located with CGO 2018 (pp. 139-150). Association for Computing Machinery. https://doi.org/10.1145/3178372.3179499

Mezzetti, G., Møller, A. & Torp, M. T. (2018). Type Regression Testing to Detect Breaking Changes in Node.js Libraries. In T. D. Millstein (Ed.), 32nd European Conference on Object-Oriented Programming, ECOOP 2018 (Vol. 109, pp. 7:1-7:24). Article 7 Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.ECOOP.2018.7

Møller, C., Højlund, A., Hansen, N. C. & Vuust, P. (2018). Pitch-related mismatch negativity as an index of musical aptitude. Poster session presented at MMN2018: The 8th Mismatch Negativity conference, Helsinki, Finland.

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, C., Højlund, A., Bærentsen, K. B., Hansen, N. C., Skewes, J. C. & Vuust, P. (2018). Visually induced gains in pitch discrimination: Linking audio-visual processing with auditory abilities. Attention, Perception & Psychophysics, 80(4), 999-1010. https://doi.org/10.3758/s13414-017-1481-8

Pavlogiannis, A., Tkadlec, J., Chatterjee, K. & Nowak, M. A. (2018). Construction of arbitrarily strong amplifiers of natural selection using evolutionary graph theory. Communications Biology, 1(1), Article 71. https://doi.org/10.1038/s42003-018-0078-7

Petersen, B., Friis Andersen, A. S., Dietz, M., Højlund, A., Brattico, E., Haumann, N. T., Michel, F., Kamaric Riis, S. & Vuust, P. (2018). Musical Listening in Electric Hearing –Two Novel EEG Paradigms for Studying Music Discrimination in Cochlear Implant Users. Poster session presented at 2nd International Music and CI symposium, Montreal, Canada.

Petersen, B., Friis Andersen, A. S., Dietz, M., Højlund, A., Brattico, E., Haumann, N. T., Michel, F., Kamaric Riis, S. & Vuust, P. (2018). The CI MuMuFe - a new MMN paradigm for measuring music discrimination in electric hearing. Poster session presented at MMN 2018: The 8th Mismatch Negativity Conference, Helsinki, Finland.

Chatterjee, K., Goharshady, A. K., Okati, N. & Pavlogiannis, A. (2019). Efficient Parameterized Algorithms for Data Packing. Proceedings of the ACM on Programming Languages , 3(POPL), Article 53. https://doi.org/10.1145/3290366

Chatterjee, K., Goharshady, A. K., Goyal, P., Ibsen-Jensen, R. & Pavlogiannis, A. (2019). Faster algorithms for dynamic algebraicqueries in basic RSMs with constant treewidth. ACM Transactions on Programming Languages and Systems, 41(4), Article 23. https://doi.org/10.1145/3363525

Chatterjee, K., Pavlogiannis, A. & Toman, V. (2019). Value-centric Dynamic Partial Order Reduction. Proceedings of the ACM on Programming Languages , 3(OOPSLA), Article 124. https://doi.org/10.1145/3360550

Dongmei, Z. & Møller, A. (Eds.) (2019). ISSTA 2019: Proceedings of the 28th ACM SIGSOFT International Symposium on Software Testing and Analysis. Association for Computing Machinery. https://dl.acm.org/citation.cfm?id=3293882&picked=prox

Højlund, A., Gebauer, L., McGregor, W. B. & Wallentin, M. (2019). Context and perceptual asymmetry effects on the mismatch negativity (MMNm) to speech sounds: an MEG study. Language, Cognition and Neuroscience, 34(5), 545-560. https://doi.org/10.1080/23273798.2019.1572204

Kristensen, E. K. & Møller, A. (2019). Reasonably-Most-General Clients for JavaScript Library Analysis. Proceedings of the International Conference on Software Engineering, 83-93. https://doi.org/10.1109/ICSE.2019.00026

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

Møller, C., Højlund, A., Bærentsen, K. B., Hansen, N. C., Skewes, J. & Vuust, P. (2019). You get what you need: individual differences in visually-induced amplification of the auditory mismatch negativity. Poster session presented at Neuroscience Day 2019, Aarhus, Denmark.

Petersen, B., Friis Andersen, A. S., Trusbak Haumann, N., Højlund, A., Dietz, M., Brattico, E., Michel, F., Kamaric Riis, S. & Vuust, P. (2019). Objective Measurements of Music Discrimination in Individual Experienced and Recently Implanted Cochlear Implant Users. Abstract from CI2019 Pediatric: 16th Symposium on Cochlear Implants in Children, Hollywood, FL, United States.

Petersen, B., Friis Andersen, A. S., Trusbak Haumann, N., Højlund, A., Dietz, M., Brattico, E., Michel, F., Kamaric Riis, S. & Vuust, P. (2019). Objective Measurements of Music Discrimination in Individual Experienced and Recently Implanted Cochlear Implant Users. Poster session presented at 2019 Conference on Implantable Auditory Prostheses (CIAP), Lake Tahoe, California, United States.

Petersen, B., Friis Andersen, A. S., Trusbak Haumann, N., Højlund, A., Dietz, M., Brattico, E., Michel, F., Kamaric Riis, S. & Vuust, P. (2019). The Sound of Music – Two Novel EEG-Paradigms for Measuring Discrimination of Music in Cochlear Implant Users. Abstract from CI2019 Pediatric: 16th Symposium on Cochlear Implants in Children, Hollywood, FL, United States.

Petersen, B., Friis Andersen, A. S., Trusbak Haumann, N., Højlund, A., Dietz, M., Brattico, E., Michel, F., Kamaric Riis, S. & Vuust, P. (2019). The Sound of Music: Two Novel EEG-Paradigms for Measuring Discrimination of Music in Cochlear Implant Users. Abstract from 2019 Conference on Implantable Auditory Prostheses (CIAP), Lake Tahoe, California, United States.

Quiroga Martinez, D. R., Hansen, N. C., Højlund, A., Pearce, M., Brattico, E. & Vuust, P. (2019). Reduced prediction error responses in high-as compared to low-uncertainty musical contexts. Cortex, 120, 181-200. https://doi.org/10.1101/422949, https://doi.org/10.1016/j.cortex.2019.06.010

Stein, B., Nielsen, B. B., Chang, B.-Y. E. & Møller, A. (2019). Static Analysis with Demand-driven Value Refinement. Proceedings of the ACM on Programming Languages , 3(OOPSLA), Article 140. https://doi.org/10.1145/3360566

Tkadlec, J., Pavlogiannis, A., Chatterjee, K. & Nowak, M. A. (2019). Population structure determines the tradeoff between fixation probability and fixation time. Communications Biology, 2(1), Article 138. https://doi.org/10.1038/s42003-019-0373-y

Asadi, A., Chatterjee, K., Goharshady, A. K., Mohammadi, K. & Pavlogiannis, A. (2020). Faster Algorithms for Quantitative Analysis of MCs and MDPs with Small Treewidth. In D. Van Hung & O. Sokolsky (Eds.), Automated Technology for Verification and Analysis - 18th International Symposium, ATVA 2020, Proceedings (pp. 253-270). Springer. https://doi.org/10.1007/978-3-030-59152-6_14

Chatterjee, K., Goharshady, A. K., Ibsen-Jensen, R. & Pavlogiannis, A. (2020). Optimal and Perfectly Parallel Algorithms for On-demand Data-Flow Analysis. In P. Müller (Ed.), Programming Languages and Systems- 29th European Symposium on Programming, ESOP 2020 held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2020, Proceedings (pp. 112-140). Springer. https://doi.org/10.1007/978-3-030-44914-8_5

Endo, A. T. & Møller, A. (2020). NodeRacer: Event Race Detection for Node.js Applications. In 2020 IEEE 13th International Conference on Software Testing, Verification and Validation, ICST 2020: Proceedings (pp. 120-130). Article 9159075 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICST46399.2020.00022

Hyder, R., Højlund, A., Jensen, M., Østergaard, K. & Shtyrov, Y. (2020). Objective assessment of automatic language comprehension mechanisms in the brain: Novel E/MEG paradigm. Psychophysiology, 57(5), Article e13543. https://doi.org/10.1111/psyp.13543

Li, Y., Tan, T., Møller, A. & Smaragdakis, Y. (2020). A Principled Approach to Selective Context Sensitivity for Pointer Analysis. ACM Transactions on Programming Languages and Systems, 42(2), Article 10. https://doi.org/10.1145/3381915

Madsen, M., Lhoták, O. & Tip, F. (2020). A Semantics for the Essence of React. In R. Hirschfeld & T. Pape (Eds.), 34th European Conference on Object-Oriented Programming (ECOOP 2020) (Vol. 166, pp. 12:1-12:26). Article 12 Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.ECOOP.2020.12

Madsen, M. & Lhoták, O. (2020). Fixpoints for the masses: programming with first-class Datalog constraints. In Proceedings of the ACM on Programming Languages (OOPSLA ed., Vol. 4). Association for Computing Machinery. https://doi.org/10.1145/3428193

Madsen, M. & Pol, J. V. D. (2020). Polymorphic types and effects with Boolean unification. In Proceedings of the ACM on Programming Languages (OOPSLA ed., Vol. 4). Association for Computing Machinery. https://doi.org/10.1145/3428222

Mathur, U., Pavlogiannis, A. & Viswanathan, M. (2020). The Complexity of Dynamic Data Race Prediction. In Proceedings of the 35th Annual ACM/IEEE Symposium on Logic in Computer Science, LICS 2020 (pp. 713–727). Article 3394783 Association for Computing Machinery. https://doi.org/10.1145/3373718.3394783

Møller, M. L. H., Højlund, A., Jensen, M., Gansonre, C. & Shtyrov, Y. (2020). Applied potential of task-free event-related paradigms for assessing neurocognitive functions in disorders of consciousness. Brain Communications, 2(2), fcaa087. Article fcaa087. https://doi.org/10.1093/braincomms/fcaa087

Displaying results 351 to 400 out of 491

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Revised 01.09.2025

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Sofia Hedegaard Rasmussen