Publications

Search for publications at Department of Computer Science

Below you find a complete list of publications published and edited by scientists at the Department of Computer Science

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Starup, J. L., Madsen, M. & Lhoták, O. (2023). Breaking the Negative Cycle: Exploring the Design Space of Stratification for First-Class Datalog Constraints. In K. Ali & G. Salvaneschi (Eds.), 37th European Conference on Object-Oriented Programming, ECOOP 2023 Article 31 Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.ECOOP.2023.31

Staicu, C. A., Torp, M. T., Schafer, M., Møller, A. & Pradel, M. (2020). Extracting Taint Specifications for JavaScript Libraries. In ICSE '20: Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering (pp. 198-209). Article 3380390 Association for Computing Machinery. https://doi.org/10.1145/3377811.3380390

Staer, K., Iranzo, A., Stokholm, M., Stergaard, Eroles, M., Otto, M., Svendsen, K., Pla, A., Vilas, D., Santamaria, J., Moller, A., Gaig, C., Borghammer, P., Brooks, D., Tolosa, E. & Pavese, N. (2019). Cortical cholinergic dysfunction correlates with microglial activation in the Substantia Innominata in patients with REM sleep behavior disorder. S830-S830. Abstract from International Congress of Parkinson's Disease and Movement Disorders, Nice, France.

Staals, F. & Tsirogiannis, C. (2017). Computing the Expected Value and Variance of Geometric Measures. In S. Fekete & V. Ramachandran (Eds.), 19th Workshop on Algorithm Engineering and Experiments 2017, ALENEX 2017 (pp. 232 - 246). Society for Industrial and Applied Mathematics. https://doi.org/10.1137/1.9781611974768.19

Staal, L. K. & Hachisuka, T. (2012). Randomized Coherent Sampling for Reducing the Perceptual Error of Rendered Images. Poster session presented at SIGGRAPH 2012. https://doi.org/10.1145/2342896.2343023

Srinivasan, S. & Venkitesh, S. (2021). On the probabilistic degree of an n-variate boolean function. In M. Wootters & L. Sanita (Eds.), Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques, APPROX/RANDOM 2021 Article 42 Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs-APPROX/RANDOM.2021.42

Srinivasan, S. & Tripathi, U. (2023). Optimal Explicit Small-Depth Formulas for the Coin Problem. In B. Saha & R. A. Servedio (Eds.), STOC 2023 - Proceedings of the 55th Annual ACM Symposium on Theory of Computing (pp. 881-894). Association for Computing Machinery. https://doi.org/10.1145/3564246.3585238

Srinivasan, A. & Chan, J. (2024). Improving Selection of Analogical Inspirations through Chunking and Recombination. In C&C '24: Proceedings of the 16th Conference on Creativity & Cognition (pp. 374-397). Association for Computing Machinery, Inc.. https://doi.org/10.1145/3635636.3656207

Srba, J., Guldstrand Larsen, K. (Ed.) & Nielsen, M. (Ed.) (2001). On the Power of Labels in Transition Systems. In Lecture Notes in Computer Science: Proceedings of the 12th International Conference on Concurrency Theory (2154 of Lecture Notes in Computer Science ed., Vol. 2154/2001, pp. 277-291). Springer.

Spitters, B. (2015). Cubical sets as a classifying topos. Abstract from 21st International Conference on Types for Proofs and Programs, , Tallinn, Estonia.

Spitters, B. (2016, Oct 17). Cubical sets and the topological topos. https://arxiv.org/pdf/1610.05270v1.pdf

Spies, S., Gäher, L., Gratzer, D., Tassarotti, J., Krebbers, R., Dreyer, D. & Birkedal, L. (2021). Transfinite Iris: Resolving an existential dilemma of step-indexed separation logic. In S. N. Freund & E. Yahav (Eds.), PLDI 2021 - Proceedings of the 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation (pp. 80-95). Association for Computing Machinery. https://doi.org/10.1145/3453483.3454031

Spies, S., Gäher, L., Tassarotti, J., Jung, R., Krebbers, R., Birkedal, L. & Dreyer, D. (2022). Later credits: resourceful reasoning for the later modality. Proceedings of the ACM on Programming Languages , 6(ICFP), Article 100. https://doi.org/10.1145/3547631

Spiel, K., Walker, A. M., DeVito, M. A., Birnholtz, J., Barlas, P., Ahmed, A., Brubaker, J. R., Keyes, O., Brulé, E., Light, A., Hardy, J., Rode, J. A. & Kannabiran, G. (2019). Queer(ing) HCI: Moving forward in theory and practice. In CHI EA 2019 - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems Article 3311750 Association for Computing Machinery. https://doi.org/10.1145/3290607.3311750

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

Speed, M. (2018). Population Genetic Models for Allele Fraction Data. Århus Universitet.

Sotakova, M. (2009). On the Power of Two-Party Quantum Cryptography. Aarhus Universitetsforlag.

Sørensen, T. S., Schaeffter, T., Noe, K. Ø. & Schacht Hansen, M. (2007). Fast Gridding on Commodity Graphics Hardware. In Proceedings of ISMRM Workshop on Non-Cartesian MRI

Sørensen, T. S., Schaeffter, T., Noe, K. Ø. & Schacht Hansen, M. (2008). Accelerating the Non-equispaced Fast Fourier Transform on Commodity Graphics Hardware. I E E E Transactions on Medical Imaging, 27(4), 538-547. https://doi.org/10.1109/TMI.2007.909834

Sørensen, T. B. (2008). Computing Equilibria of Two Player Games. Aarhus Universitetsforlag.

Sørensen, T. S., Atkinson, D., Boubertakh, R., Schaeffter, T. & Hansen, M. S. (2008). Rapid Non-Cartesian Parallel Imaging Reconstruction on Commodity Graphics Hardware. In Proceedings of the 16th Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine: Image Reconstruction (pp. 1490). Wiley-Interscience.

Sørensen, T. S., Beerbaum, P., Mosegaard, J., Rasmusson, A., Schaeffter, T., Austin, C., Razavi, R. & Greil, G. F. (2008). Virtual Cardiotomy based on 3D Magnetic Resonance Imaging for Preoperative Planning in Congenital Heart Disease. Pediatric Radiology, 38, 1314-1322. https://doi.org/10.1007/s00247-008-1032-5

Sørensen, T. S., Beerbaum, P., Mosegaard, J. & Greil, G. F. (2009). Developing and Evaluating Virtual Cardiotomy for Preoperative Planning in Congenital Heart Disease. Studies in Health Technology and Informatics, 340-345. https://doi.org/10.3233/978-1-58603-964-6-340

Sørensen, T. S., Atkinson, D., Schaeffter, T. & Hansen, M. S. (2009). Real-time Reconstruction of Sensitivity Encoded Radial Magnetic Resonance Imaging Using a Graphics Processing Unit. I E E E Transactions on Medical Imaging, 28(12), 1974-1985. https://doi.org/10.1109/TMI.2009.2027118

Sørensen, T. S., Noe, K. Ø., Christoffersen, C. P. V., Kristiansen, M., Mouridsen, K., Østerby, O. & Brix, L. (2010). Active Contours in Optical Flow Fields for Image Sequence Segmentation. International Symposium on Biomedical Imaging. Proceedings, 916 - 919. https://doi.org/10.1109/ISBI.2010.5490136

Sørensen, T. S. & Hansen, M. S. (2010). Real-time Non-Cartesian Magnetic Resonance Imaging. Abstract from Dansk Selskab for Medicinsk Fysik - årsmøde symposium, Odense, Denmark.

Sørensen, T. S., Prieto, C., Atkinson, D., Hansen, M. S. & Schaeffter, T. (2010). GPU accelerated iterative SENSE reconstruction of radial phase encoded whole-heart MRI. In Proceedings of the 18th ISMRM Scientific Meeting and Exhibition: International Society for Magnetic Resonance in Medicine ISMRM/SMRT Central Office, Berkeley, CA.

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.

Sørensen, T. S., Therkildsen, S. V., Hansen, O. K., Sørensen, K. & Pedersen, E. M. (2002). Images in cardiovascular medicine. Total cavo-pulmonary connection: a virtual 3-dimensional fly-through. Circulation, 105(20), E176-6.

Sørensen, T. S., Körperich, H., Greil, G. F., Eichhorn, J., Barth, P., Meyer, H., Pedersen, E. M. & Beerbaum, P. (2004). Operator-independent isotropic three-dimensional magnetic resonance imaging for morphology in congenital heart disease: a validation study. Circulation, 110(2), 163-9. https://doi.org/10.1161/01.CIR.0000134282.35183.AD

Sørensen, T. S., Mosegaard, J., Kislinskiy, S. & Greil, G. (2014). Virtual Surgery in Congenital Heart Disease. In F. Saremi (Ed.), Cardiac CT and MR for Adult Congenital Heart Disease (pp. 515-523). Springer. https://doi.org/10.1007/978-1-4614-8875-0_23

Sørensen, J. L., Knudsen, M., Hansen, F. T., Olesen, C., Romans Fuertes, P., Lee, T. V., Søndergaard, T. E., Pedersen, C. N. S., Brodersen, D. E. & Giese, H. (2014). Fungal NRPS-dependent siderophores: From function to prediction. In J.-F. Martin, C. Garcia-Estrada & S. Zeilinger (Eds.), Biosynthesis and Molecular Genetics of Fungal Secondary Metabolites (pp. 317-339). Springer. https://doi.org/10.1007/978-1-4939-1191-2_15

Sørensen, L. B. & Nielsen, K. (2019). Hvorfor undervise i engineering i grundskolen? In Engineering (pp. 20-29). VIA University College.

Sørensen, M.-L. S. K., Fog, B. V., Musaeus, L. H. & Petersen, M. G. (2022). Knit x Code: Exploring a Craftsmanship-driven Approach to Computational Thinking. In Participative Computing for Sustainable Futures : Adjunct Proceedings of the 12th Nordic Conference on Human-Computer Interaction (NordiCHI'22) Article 48 Association for Computing Machinery. https://doi.org/10.1145/3547522.3547680

Sørensen, M.-L. S. K., Fog, B. V., Musaeus, L. H. & Petersen, M. G. (2022). Knit x Code - Exploring a Craftsmanship-driven Approach to Computational Thinking. Design United. https://www.4tu.nl/du/columns/Knit%20x%20Code/

Sørensen, M. L. S. K., Bertelsen, A. B., Nordmark Hoffmann, N., Petersen, M. G. & Hoggan, E. (2022). MoLux: Negotiating Control with a Shape-Changing Lamp at Home. In Participative Computing for Sustainable Futures : Adjunct Proceedings of the 12th Nordic Conference on Human-Computer Interaction (NordiCHI'22) Article 38 Association for Computing Machinery. https://doi.org/10.1145/3546155.3547271

Sonne, T. & Grønbæk, K. (2013). Exploring New Potentials in Preventing Unhealthy Computer Habits. In W. E. Mackay, S. Brewster & S. Bødker (Eds.), CHI '13 Extended Abstracts on Human Factors in Computing Systems, CHI EA '13 (pp. 487-492 ). Association for Computing Machinery. https://doi.org/10.1145/2468356.2468442

Sonne, T. & Jensen, M. M. (2014). Race By Hearts. In Y. Pisan , N. M. Sgouros & T. Marsh (Eds.), Entertainment Computing – ICEC 2014: 13th International Conference, Sydney, Australia, October 1-3, 2014. Proceedings (pp. 125-132 ). Springer. https://doi.org/10.1007/978-3-662-45212-7_16

Sonne, T. & Grønbæk, K. (2015). Designing Assistive Technologies for the ADHD Domain. Paper presented at 5th EAI International Symposium on Pervasive Computing Paradigms for Mental Health, Milan, Italy.

Sonne, T., Obel, C. & Grønbæk, K. (2015). Designing Real Time Assistive Technologies: A Study of Children with ADHD. In OzCHI '15: Proceedings of the Annual Meeting of the Australian Special Interest Group for Computer Human Interaction (pp. 34-38). Association for Computing Machinery. https://doi.org/10.1145/2838739.2838815

Sonne, T. (2017). Assistive Technologies to Empower Children with ADHD: Conceptual Framework and Technological Solutions. Århus Universitet.

Sonne, T., Marshall, P., Müller, J., Obel, C. & Grønbæk, K. (2016). A Follow-up Study of a Successful Assistive Technology for Children with ADHD and Their Families. In Proceedings of IDC 2016 - The 15th International Conference on Interaction Design and Children (pp. 400-407). https://doi.org/10.1145/2930674.2930704

Sonne, T., Marshall, P., Obel, C., Thomsen, P. H. & Grønbæk, K. (2016). An Assistive Technology Design Framework for ADHD. In Proceedings of the 28th Australian Computer-Human Interaction Conference, OzCHI 2016: OzCHI '16 (pp. 60-70). Association for Computing Machinery. https://doi.org/10.1145/3010915.3010925

Sonne, T., Müller, J., Marshall, P., Obel, C. & Grønbæk, K. (2016). Changing Family Practices with Assistive Technology: MOBERO Improves Morning and Bedtime Routines for Children with ADHD. In CHI 2016 - Proceedings, 34th Annual CHI Conference on Human Factors in Computing Systems: CHI '16 (pp. 152-164). Association for Computing Machinery. https://doi.org/10.1145/2858036.2858157

Sonne, T. & Jensen, M. M. (2016). ChillFish: A Respiration Game for Children with ADHD. In TEI 2016 - Proceedings of the 10th Anniversary Conference on Tangible Embedded and Embodied Interaction: Tenth International Conference on Tangible, Embedded, and Embodied Interaction (pp. 271-278). Association for Computing Machinery. https://doi.org/10.1145/2839462.2839480

Sonne, T. & Jensen, M. M. (2016). Evaluating the ChillFish Biofeedback Game with Children with ADHD. In Proceedings of IDC 2016 - The 15th International Conference on Interaction Design and Children: IDC '16 (pp. 529-534). Association for Computing Machinery. https://doi.org/10.1145/2930674.2935981

Sonne, T. & Grønbæk, K. (2016). Designing assistive technologies for the ADHD domain. In S. Serino, A. Matic, D. Giakoumis, G. Lopez & P. Cipresso (Eds.), Pervasive Computing Paradigms for Mental Health: 5th International Conference, MindCare 2015, Revised Selected Papers (Vol. 604, pp. 259-268). Springer VS. https://doi.org/10.1007/978-3-319-32270-4_26

Sonne, T., Merritt, T. R., Marshall, P., Lomholt, J. J., Müller, J. & Grønbæk, K. (2017). Calming Children When Drawing Blood Using Breath-based Biofeedback. In DIS 2017 - Proceedings of the 2017 Conference on Designing Interactive Systems (pp. 725-737). Association for Computing Machinery. https://doi.org/10.1145/3064663.3064742

Søndergaard, E., Gormsen, L. C., Nellemann, B., Vestergaard, E. T., Christiansen, J. S. & Nielsen, S. (2009). Visceral fat mass is a strong predictor of circulating ghrelin levels in premenopausal women. European Journal of Endocrinology, 160(3), 375-9. https://doi.org/10.1530/EJE-08-0735

Søndergaard, D., Knudsen, M. & Pedersen, C. N. S. (2014). Machine learning approaches to functional prediction of P-Type ATPases.

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Revised 17.04.2023

Marianne Dammand Iversen

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