Siegfried Nijssen
Postdoc / guest
- Name
- Dr. S.G.R. Nijssen
- Telephone
- +31 71 527 4799
- s.g.r.nijssen@liacs.leidenuniv.nl
- ORCID iD
- 0000-0003-2678-1266
Postdoc / guest
- Science
- Leiden Inst. Advanced Computer Sciences
- Latour A.L.D., Babaki B. & Nijssen S. (2019), Stochastic Constraint Propagation for Mining Probabilistic Networks. In: Beuls K., Bogaerts B., Bontempi G., Geurts P., Harley N., Lebichot B., Lenaerts T., Louppe G., Eecke P. van (Eds.) BNAIC/BENELEARN 2019. Proceedings of the Reference AL & ML Conference for Belglium, Netherlands & Luxemburg. Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019) no. 2491: CEUR-WS. 1137-1145.
- Siegfried Nijssen (2019), Stochastic Constraint Propagation for Mining Probabilistic Networks [Probabilistic Features for Intelligent Declarative Data Science] (translation: Latour A.L.D., Babaki B. & Nijssen S.). In: Kraus S. (Ed.) Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI 2019).: International Joint Conferences on Artificial Intelligence. 1137--1145.
- Latour A.L.D., Babaki B. & Nijssen S.G.R. (2019), Stochastic Constraint Optimization using Propagation on Ordered Binary Decision Diagrams. In: Lang J. (Ed.) Proceedings of the Twenty-Eightth International Joint Conference on Artificial Intelligence (IJCAI-19).: International Joint Conferences on Artificial Inteligence Organization. 1137-1145.
- Latour A.L.D., Babaki B., Dries A., Kimmig A., Broeck G. van den & Nijssen S.G.R. (2017), Combining Stochastic Constraint Optimization and Probabilistic Programming. In: Beck J.C. (Ed.) Principles and Practice of Constraint Programming, CP 2017. no. 10416 Cham: Springer International Publishing. 495–511.
- Bessiere C., Raedt L. De, Kotthoff L., Nijssen S.G.R., O'Sullivan B. & Pedreschi D. (Eds.) (2016), Data Mining and Constraint Programming 2016 Lecture Notes in Artificial Intelligence no. 10101: Springer.
- Schomaker L., Weber A., Thijssen M., Heerlien M., Plaat A., Nijssen S.G.R., Verbeek F.J., Lew M.S.K., Gasso Micacle E., Wolstencroft K., Suyver E., Verheij B., Wiering M., Dekker M., Kok J., Roberts L. & Herik H.J. van den (2016), Making Sense of Illustrated Handwritten Archives. In: Digital Humanities 2016 Conference Abstracts. Krakow: Jagiellonian University and Pedagogical University. 674-676.
- Dries A., Guns T., Nijssen S.G.R., Babaki B., Van T. Le, Négrevergne B., Paramonov S. & Raedt L. De (2016), Modeling in MiningZinc. In: Bessiere C., Raedt L. De, Kotthoff L., Nijssen S.G.R., O'Sullivan B., Pedreschi D. (Eds.) Data Mining and Constraint Programming. Lecture Notes in Artificial Intelligence no. 10101: Springer. 257-281.
- Grossi V., Guns T., Monreale A., Nanni M. & Nijssen S.G.R. (2016), Partition-Based Clustering Using Constraint Optimization. In: Bessiere C., Raedt L. De, Kotthoff L., Nijssen S.G.R., O'Sullivan B., Pedreschi D. (Eds.) Data Mining and Constraint Programming 2016. Lecture Notes in Artificial Intelligence no. 10101: Springer. 282-299.
- Le Van T., Leeuwen M. van, Fierro A.C., Maeyer D. De, Van den Eynden J., Verbeke .L, De Raedt L., Marchal K. & Nijssen S.G.R. (2016), Simultaneous discovery of cancer subtypes and subtype features by molecular data integration, BIOINFORMATICS 32(17): i445--i454.
- Bessiere C., Raedt L. De, Guns T., Kotthoff L., Nanni M., Nijssen S.G.R., O'Sullivan B., Paparrizou A., Pedreschi D. & Simonis H. (2016), The Inductive Constraint Programming Loop. In: Bessiere C., Raedt L. De, Kotthoff L., Nijssen S.G.R., O'Sullivan B., Pedreschi D. (Eds.) Data Mining and Constraint Programming. Lecture Notes in Artificial Intelligence no. 10101: Springer. 303-309.
- Guns T., Dries A., Tack G., Nijssen S.G.R. & Raedt L. De (2015), Automatic solver chaining in MiningZinc. In: Proceedings 14th International Workshop on Constraint Modelling and Reformulation (ModRef).. 1-17.
- Babaki B., Guns T., Nijssen S.G.R. & Raedt L. De (2015), Constraint-Based Querying for Bayesian Network Exploration. In: Fromont E., Bie T. de, Leeuwen M. van (Eds.) Advances in Intelligent Data Analysis XIV. IDA 2015. no. LNCS 9385 Cham: Springer. 13-24.
- Raedt L. De, Nijssen S.G.R., Sullivan B.O' & Sebag M. (2015), Constraints, Optimization and Data (Dagstuhl Seminar 14411), Dagstuhl Reports 4(10): 1-31.
- Mampaey M., Nijssen S.G.R., Feelders A., Konijn R. & Knobbe A.J. (2015), Efficient algorithms for finding optimal binary features in numeric and nominal labeled data, Knowledge and Information Systems 42(2): 465-492.
- Aksehirli E., Nijssen S.G.R., Leeuwen M. van & Goethals B. (2015), Finding subspace clusters using ranked neighborhoods. In: 2015 IEEE International Conference on Data Mining Workshop (ICDMW).: IEEE Publishing. 831-838.
- Van T. Le, Leeuwen M. van, Nijssen S.G.R. & Raedt L. De (2015), Rank Matrix Factorisation. In: Cao T., Lim E.P., Zhou Z.H., Ho T.B., Cheung D., Motoda H. (Eds.) Proceedings Advances in Knowledge Discovery and Data Mining. no. LNCS 9077 Cham: Springer. 734-746.
- Babaki B., Guns T. & Nijssen S.G.R. (2014), Constrained Clustering Using Column Generation. In: Proceedings CPAIOR 2014.. 438-454.
- Nijssen S.G.R. & Zimmermann A. (2014), Constraint-Based Pattern Mining. In: Frequent Pattern Mining 2014.: Springer. 147-163.
- De Gouveia da Costa Cachu R.E., Meeng M., Vespier U., Nijssen S.G.R. & Knobbe A.J. (2014), Mining multivariate time series with mixed sampling rates. In: UbiComp '14: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing. New York, NY, U.S.A.: ACM. 413-423.
- Van T. Le, Leeuwen M. van, Nijssen S.G.R., Fierro A.C., Marchal K. & Raedt L. De (2014), Ranked Tiling. In: Proceedings ECML/PKDD part II. no. LNCS 8725: Springer. 98-113.
- Zimmermann A. & Nijssen S.G.R. (2014), Supervised Pattern Mining and Applications to Classification. In: Frequent Pattern Mining 2014.: Springer. 425-442.
- Dzyuba V., Leeuwen M. van, Nijssen S.G.R. & De Raedt L. (2013), Active Preference Learning for Ranking Patterns. In: Proceedings 25th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2013).. 532-539.
- Blockeel H.L.W., Kersting K., Nijssen S.G.R. & Zelezny F. (Eds.) (2013), Data Mining Knowledge Discovery, Special Issue of the ECML PKDD 2013 journal track no. 27(3).
- Negrevergne B, Dries A, Guns T & Nijssen S (2013), Dominance programming for itemset mining. In: Karypis G., Xiong H. (Eds.) 13th IEEE International Conference on Data Mining.: IEEE Computer Society.
- Gilpin S., Nijssen S.G.R. & Davidson I. (2013), Formalizing Hierarchical Clustering as Integer Linear Programming. In: desJardins M., Littman M.L. (Eds.) Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence.: AAAI Press. 372-378.
- Gilpin S, Nijssen S & Davidson IN (2013), Formalizing Hierarchical Clustering as Integer Linear Programming. In: desJardins M., Littman M.L. (Eds.) Proceedings 27th AAAI Conference on Artificial Intelligence (AAAI 2013).: AAAI Press.
- Blockeel H., Kersting K., Nijssen S.G.R. & Zelezný F. (2013), Guest editor's introduction: special issue of the ECML PKDD 2013 journal track, Data Mining and Knowledge Discovery Journal 27(3): 291-293.
- Blockeel H., Kersting K., Nijssen S.G.R. & Zelezný F. (2013), Guest editor's introduction: special issue of the ECML PKDD 2013 journal track, Machine Learning 93(1): 1-3.
- Rossi F (2013), IJCAI 2013, Proceedings of the 23rd International Joint Conference on Artificial Intelligence, Beijing, China, August 3-9, 2013: IJCAI/AAAI.
- Guns T, Nijssen S & De Raedt L (2013), $k-$Pattern Set Mining under Constraints, IEEE Trans. Knowl. Data Eng. 25(2): 402-418.
- Blockeel H, Kersting K, Nijssen S & Zelezný F (Eds.) (2013), Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part I no. 8188: Springer-Verlag.
- Blockeel H, Kersting K, Nijssen S & Zelezný F (Eds.) (2013), Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part II no. 8189: Springer-Verlag.
- Blockeel H.L.W., Kersting K., Nijssen S.G.R. & Zelezny F. (Eds.) (2013), Machine Learning, special issue of the ECML PKDD 2013 journal track no. 93(1).
- Vespier U., Nijssen S.G.R. & Knobbe A.J. (2013), Mining characteristic multi-scale motifs in sensor-based time series. In: He Q., Iyengar A., Nejdl W., Pei J., Rastogi R. (Eds.) Proceedings 22nd ACM International Conference on Information and Knowledge Management (CIKM'13).: ACM. 2393-2398.
- Guns T, Dries A, Tack G, Nijssen S & De Raedt L (2013), MiningZinc: A Modeling Language for Constraint-Based Mining. In: Rossi F. (Ed.) IJCAI 2013, Proceedings of the 23rd International Joint Conference on Artificial Intelligence, Beijing, China.: IJCAI/AAAI.
- Nijssen S.G.R. (2013), Pattern Mining. In: Encyclopedia of Systems Biology.: Springer.
- Blockeel H, Kersting K, Nijssen S & Zelezný F (Eds.) (2013), Proceedings Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part III no. 8190: Springer-Verlag.
- Guns T, Dries A, Tack G, Nijssen S & De Raedt L (2013), The MiningZinc framework for constraint-based itemset mining. In: Karypis G., Xiong H. (Eds.) 13th IEEE International Conference on Data Mining.: IEEE Computer Society.
- Nijssen & Siegfried Gerardus Remius (15 May 2006), Mining Structured Data (PhD thesis, Faculty of Science, Leiden University). Supervisor(s) and Co-supervisor(s): J.N. Kok, W.A. Kosters.
- Onderzoek in de informatica