C. McCarthy, P. Tampakis, M. Chiarandini, M. B. Randers, S. Jänicke, A. Zimek (2022). Analyzing passing sequences for the prediction of goal-scoring opportunities. In U. Brefeld, J. Davis, J. V. Haaren, A. Zimmermann (Eds.), Machine Learning and Data Mining for Sports Analytics - 9th International Workshop, MLSA 2022, Grenoble, France, September 19, 2022, Revised Selected Papers, vol. 1783 of Communications in Computer and Information Science, pp. 27--40, Springer. [ bib | DOI | http ]
E. Andersen, M. Chiarandini, M. Hassani, S. Jänicke, P. Tampakis, A. Zimek (2022). Evaluation of probability distribution distance metrics in traffic flow outlier detection. In 23rd IEEE International Conference on Mobile Data Management, MDM 2022, Paphos, Cyprus, June 6-9, 2022, pp. 64--69, IEEE. [ bib | DOI | http ]
N. S. Andersen, M. Chiarandini (2022). Together about dementia. In L. D. Raedt (Ed.), Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, IJCAI 2022, Vienna, Austria, 23-29 July 2022, pp. 5888--5891, ijcai.org. [ bib | DOI | http ]
N. S. Andersen, M. Chiarandini, J. Mauro (2021). Wandering and getting lost: the architecture of an app activating local communities on dementia issues. In SEH 2021: 3rd ICSE Workshop on Software Engineering for Healthcare, IEEE Digital Library, Virtual. [ bib | arXiv ]
Z. Sun, M. Chiarandini (2021). An exact algorithm for group formation to promote collaborative learning. In M. Warschauer, G. Lynch (Eds.), LAK21: 11th International Learning Analytics and Knowledge Conference (LAK21), April 12--16, 2021, Irvine, CA, USA, Association for Computing Machinery, New York, NY, USA. [ bib ]
Y. Djenouri, A. Zimek, M. Chiarandini (2018). Outlier detection in urban traffic flow distributions. In IEEE International Conference on Data Mining, ICDM 2018, Singapore, November 17-20, 2018, pp. 935--940, IEEE Computer Society. [ bib | DOI | http ]
A. N. Knudsen, M. Chiarandini, K. S. Larsen (2018). Heuristic variants of A* search for 3D flight planning. In W. J. van Hoeve (Ed.), Integration of Constraint Programming, Artificial Intelligence, and Operations Research - 15th International Conference, CPAIOR 2018, Delft, The Netherlands, June 26-29, 2018, Proceedings, vol. 10848 of Lecture Notes in Computer Science, pp. 361--376, Springer. [ bib | DOI | http ]
C. K. Jensen, M. Chiarandini, K. S. Larsen (2017). Flight Planning in Free Route Airspaces. In G. D'Angelo, T. Dollevoet (Eds.), 17th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2017), vol. 59 of OpenAccess Series in Informatics (OASIcs), pp. 1--14, Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik, Dagstuhl, Germany. [ bib | DOI ]
A. N. Knudsen, M. Chiarandini, K. S. Larsen (2017). Constraint handling in flight planning. In J. C. Beck (Ed.), Principles and Practice of Constraint Programming - 23rd International Conference, CP 2017, Melbourne, VIC, Australia, August 28 - September 1, 2017, Proceedings, vol. 10416 of Lecture Notes in Computer Science, pp. 354--369, Springer. [ bib | DOI ]
A. N. Knudsen, M. Chiarandini, K. S. Larsen (2016). Vertical optimization of resource dependent flight paths. In G. A. Kaminka, M. Fox, P. Bouquet, E. Hüllermeier, V. Dignum, F. Dignum, F. van Harmelen (Eds.), ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands - Including Prestigious Applications of Artificial Intelligence (PAIS 2016), vol. 285 of Frontiers in Artificial Intelligence and Applications, pp. 639--645, IOS Press. [ bib | DOI | http ]
A. Bomersbach, M. Chiarandini, F. Vandin (2016). An efficient branch and cut algorithm to find frequently mutated subnetworks in cancer. In M. C. Frith, C. N. S. Pedersen (Eds.), Algorithms in Bioinformatics - 16th International Workshop, WABI 2016, Aarhus, Denmark, August 22-24, 2016. Proceedings, vol. 9838 of Lecture Notes in Computer Science, pp. 27--39, Springer. Supplementary material at https://imada.sdu.dk/Research/MaCCS-BC/. [ bib | DOI | http ]
M. Chiarandini, R. Fagerberg, S. Gualandi (2012). Towards fair and efficient assignments of students to projects. In Proceedings of the 9th International Conference on the Practice and Theory of Automated Timetabling (PATAT2012), pp. 388--390. Extended abstract. [ bib | .pdf ]
A. Helmar, M. Chiarandini (2011). A local search heuristic for chromatic sum. In L. D. Gaspero, A. Schaerf, T. Stützle (Eds.), Proceedings of the 9th Metaheuristics International Conference, MIC 2011, pp. 161--170, Dipartimento di Ingegneria Elettrica, Gestionale e Meccanica, Università di Udine, Udine, Italy. [ bib | .pdf ]
M. Chiarandini, G. Galbiati, S. Gualandi (2011). Efficiency issues in the RLF heuristic for graph coloring. In L. D. Gaspero, A. Schaerf, T. Stützle (Eds.), Proceedings of the 9th Metaheuristics International Conference, MIC 2011, pp. 461--469, Dipartimento di Ingegneria Elettrica, Gestionale e Meccanica, Università di Udine, Udine, Italy. Source code available at http://www.imada.sdu.dk/~marco/gcp/rlf. [ bib | .pdf ]
A. Schaerf, M. Chiarandini, L. Di Gaspero (2010). Modelling and solving the generalised balanced academic curriculum problem with heterogeneous classes. In Proceedings of the 8th International Conference on the Practice and Theory of Automated Timetabling (PATAT2010), pp. 547--550. Extended abstract. [ bib | .pdf ]
M. Chiarandini, T. Stützle (2010). An analysis of heuristics for vertex colouring. In P. Festa (Ed.), Experimental Algorithms, Proceedings of the 9th International Symposium, (SEA 2010), vol. 6049 of Lecture Notes in Computer Science, pp. 326--337, Springer. Supplementary material and source code available at http://www.imada.sdu.dk/~marco/gcp-study/. [ bib | DOI ]
M. Chiarandini (2010). Learning decision trees for the analysis of optimization heuristics. In C. Blum, R. Battiti (Eds.), Proceedings of Learning and Intelligent Optimization (LION 2010), vol. 6073 of Lecture Notes in Computer Science, pp. 208--211, Springer. [ bib | DOI ]
C. Fawcett, H. H. Hoos, M. Chiarandini (2009). An automatically configured modular algorithm for post enrollment course timetabling. In F. Hutter, M. A. M. de Oca (Eds.), Doctoral Symposium on Engineering Stochastic Local Search Algorithms, Technical Report Series, pp. 16--20, IRIDIA, Universitè Libre de Bruxelles, Brussels, Belgium. [ bib | .pdf ]
M. Chiarandini, C. Fawcett, H. H. Hoos (2008). A modular multiphase heuristic solver for post enrolment course timetabling. In Proceedings of the 7th International Conference on the Practice and Theory of Automated Timetabling, pp. 1--6, Montréal. [ bib | .pdf ]
J. Bang-Jensen, M. Chiarandini, Y. Goegebeur, B. Jørgensen (2007). Mixed models for the analysis of local search components. In T. Stützle, M. Birattari, H. Hoos (Eds.), Proceedings of the first International Workshop on Engineering Stochastic Local Search Algorithms (SLS 2007), vol. 4638 of Lecture Notes in Computer Science, pp. 91--105, Springer. [ bib | DOI ]
L. Di Gaspero, M. Chiarandini, A. Schaerf (2006). A study on the short-term prohibition mechanisms in tabu search. In G. Brewka, S. Coradeschi, A. Perini, P. Traverso (Eds.), Proc. of the 17th European Conference on Artificial Intelligence (ECAI2006), pp. 83--87, IOS Press. [ bib | .pdf ]
M. Chiarandini, T. Stützle, K. Larsen (2006). Colour reassignment in tabu search for the graph set T-colouring problem. In F. Almeida, J. M. Moreno, M. Pérez (Eds.), Proceedings of the third International Workshop on Hybrid Metaheuristics (HM 2006), vol. 4030 of Lecture Notes in Computer Science, pp. 162--177, Springer Verlag, Berlin, Germany. [ bib | DOI ]
M. Chiarandini, D. Basso, T. Stützle (2005). Statistical methods for the comparison of stochastic optimizers. In K. D. et al. (Ed.), MIC2005: The Sixth Metaheuristics International Conference, pp. 189--196, Vienna, Austria. [ bib | .pdf ]
L. Bianchi, M. Birattari, M. Chiarandini, M. Manfrin, M. Mastrolilli, L. Paquete, O. Rossi-Doria, T. Schiavinotto (2004). Metaheuristics for the vehicle routing problem with stochastic demand. In Y. X. et al. (Ed.), Parallel Problem Solving from Nature - PPSN VIII, vol. 3242 of Lecture Notes in Computer Science, pp. 450--460, Springer, Berlin, Germany. [ bib | DOI ]
M. Chiarandini, T. Stützle (2002). An application of iterated local search to graph coloring. In D. S. Johnson, A. Mehrotra, M. Trick (Eds.), Proceedings of the Computational Symposium on Graph Coloring and its Generalizations, pp. 112--125, Ithaca, New York, USA. [ bib | .pdf ]
M. Chiarandini, A. Schaerf, F. Tiozzo (2000). Solving employee timetabling problems with flexible workload using tabu search. In E. Burke, W. Erben (Eds.), Proceedings of the 3th International Conference on the Practice and Theory of Automated Timetabling, PATAT 2000, pp. 298--302, Konstanz, Germany. [ bib | .pdf ]