Anders Læsø Madsen

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Anders Læsø Madsen

 https://orcid.org/0000-0003-0633-9411
20122024

Research activity per year

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  • Article in proceeding

    Early Recognition of Maneuvers in Highway Traffic

    Weidl, G., Madsen, A. L., Tereshchenko, V., Dietmar, K. & Breuel, G., 2015, Symbolic and Quantitative Approaches to Reasoning with Uncertainty: 13th European Conference, ECSQARU 2015, Compiègne, France, July 15-17, 2015. Proceedings. Destercke, S. & Denoeux, T. (eds.). Springer, p. 529-540 (Lecture Notes in Computer Science; No. 9161).

    Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

    4 Citations (Scopus)

  • Enhancing Control Room Operator Decision Making: An Application of Dynamic Influence Diagrams in Formaldehyde Manufacturing

    Mietkiewicz, J. & Madsen, A. L., 2023, Symbolic and Quantitative Approaches to Reasoning with Uncertainty: 17th European Conference, ECSQARU 2023, Arras, France, September 19–22, 2023, Proceedings. Bouraoui, Z. & Vesic, S. (eds.). Springer, p. 15-26 12 p. (Lecture Notes in Computer Science, Vol. LNCS 14294).

    Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

  • Exploiting Semantics in Bayesian Network Inference Using Lazy Propagation

    Madsen, A. L. & Butz, C. J., 2015, Advances in Artificial Intelligence: 28th Canadian Conference on Artificial Intelligence, Canadian AI 2015, Halifax, Nova Scotia, Canada, June 2-5, 2015, Proceedings. Barbosa, D. & Milios, E. (eds.). Springer, p. 3-15

    Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

    4 Citations (Scopus)

  • Exploiting Symmetry of Independence in d-Separation

    Butz, C. J., dos Santos, A. E., Oliveira, J. & Madsen, A. L., 2019, Advances in Artificial Intelligence - 32nd Canadian Conference on Artificial Intelligence, Canadian AI 2019, Proceedings. Meurs, M-J. & Rudzicz, F. (eds.). Cham: Springer, p. 42-54 13 p. (Lecture Notes in Computer Science, Vol. 11489).

    Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

  • Financial Data Analysis with PGMs Using AMIDST

    Cabanas, R., Martinez, A. M., Masegosa, A. R., Ramos-Lopez, D., Sameron, A., Nielsen, T. D., Langseth, H. & Madsen, A. L., 30 Jan 2017, Proceedings - 16th IEEE International Conference on Data Mining Workshops, ICDMW 2016. IEEE, p. 1284-1287 4 p. 7836816

    Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

    4 Citations (Scopus)

  • Heuristics for determining the elimination ordering in the influence diagram evaluation with binary trees

    Cabañas, R., Cano, A., Gómez-Olmedo, M. & Madsen, A. L., 1 Dec 2013, Twelfth Scandinavian Conference on Artificial Intelligence. Jaeger, M., Nielsen, T. D. & Viappiani, P. (eds.). IOS Press, Vol. 257. p. 65-74 10 p. (Frontiers in Artificial Intelligence and Applications).

    Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

    2 Citations (Scopus)

  • Improvement of the Fine tuning algorithm

    Mietkiewicz, J. & Madsen, A. L., 2022, BNAIC/BeNeLearn - Joint International Scientific Conferences on AI and Machine Learning. 12 p.

    Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

    Open Access
    File
    14 Downloads (Pure)

  • Learning Style Classification by Using Bayesian Networks Based on the Index of Learning Style

    Usme, Y. P. V., Normann, M., Sapsai, I., Abke, J., Madsen, A. L. & Weidl, G., 19 Jun 2023, Proceedings of the 5th European Conference on Software Engineering Education, ECSEE 2023. Association for Computing Machinery, p. 73-82 10 p.

    Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

    1 Citation (Scopus)

  • Modeling concept drift: A probabilistic graphical model based approach

    Borchani, H., Martinez, A. M., Masegosa, A. R., Langseth, H., Nielsen, T. D., Salmerón, A., Fernández, A., Madsen, A. L. & Sáez, R., 2015, Advances in Intelligent Data Analysis XIV: 14th International Symposium, IDA 2015, Saint Etienne. France, October 22 -24, 2015. Proceedings. Fromont, E., De Bie, T. & van Leeuwen, M. (eds.). Springer, p. 72-83 (Lecture Notes in Computer Science; No. 9385).

    Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

    File
    17 Citations (Scopus)
    733 Downloads (Pure)

  • MPE inference in conditional linear gaussian networks

    Salmerón, A., Rumí, R., Langseth, H., Madsen, A. L. & Nielsen, T. D., 2015, Symbolic and Quantitative Approaches to Reasoning with Uncertainty: 13th European Conference, ECSQARU 2015, Compiègne, France, July 15-17, 2015. Proceedings. Destercke, S. & Denoeux, T. (eds.). Springer, p. 407-416 (Lecture Notes in Computer Science; No. 9161).

    Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

    File
    4 Citations (Scopus)
    514 Downloads (Pure)

  • Online Updating of Conditional Linear Gaussian Bayesian Networks

    Madsen, A. L., Olesen, K. G., Jensen, F., Henriksen, P. A., Larsen, T. M. & Møller, J. M., 2022, Proceedings of the 11th International Conference on Probabilistic Graphical Models: PMLR. Salmeròn, A. & Rumi, R. (eds.). PMLR Press, Vol. 186. p. 97-108 12 p. (The Proceedings of Machine Learning Research, Vol. 186).

    Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

    Open Access
    File
    27 Downloads (Pure)

  • On Semantics of Inference in Bayesian Networks

    Butz, C. J., Yan, W. & Madsen, A. L., 2013, Symbolic and Quantitative Approaches to Reasoning with Uncertainty: 12th European Conference, ECSQARU 2013, Utrecht, The Netherlands, July 8-10, 2013. Proceedings. van der Gaag, L. C. (ed.). Springer Publishing Company, p. 73-84 (Lecture Notes in Computer Science, Vol. 7958).

    Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

    3 Citations (Scopus)

  • On SPI for Evaluating Influence Diagrams

    Cabañas, R., Cano, A., Gómez-Olmedo, M. & Madsen, A. L., 2014, Proceedings of the 15th International IPMU Conference, Part I. Springer, Vol. 442. p. 506-516

    Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

    3 Citations (Scopus)

  • On SPI-Lazy Evaluation of Influence Diagrams

    Cabañas, R., Cano, A., Gómez-Olmedo, M. & Madsen, A. L., 2014, Proceedings of the 7th European Workshop on Probabilistic Graphical Models. Springer Publishing Company, Vol. 8754. p. 97-112 (Lecture Notes in Computer Science).

    Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

    3 Citations (Scopus)

  • On the Importance of Elimination Heuristics in Lazy Propagation

    Madsen, A. L. & Butz, C. J., 2012, Proceedings of the 6th European Workshop on Probabilistic Graphical Models. Universidad de Granada, p. 227-234 8 p.

    Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

    6 Citations (Scopus)

  • On the Tree Structure used by Lazy Propagation for Inference in Bayesian Networks

    Madsen, A. L. & Butz, C., 2013, Symbolic and Quantitative Approaches to Reasoning with Uncertainty: 12th European Conference, ECSQARU 2013, Utrecht, The Netherlands, July 8-10, 2013. Proceedings. Springer Publishing Company, Vol. 7958. p. 400-411 (Lecture Notes in Computer Science, Vol. 7958).

    Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

    1 Citation (Scopus)

  • On Tree Structures Used by Simple Propagation

    Madsen, A. L., Butz, C. J., Oliveira, J. & E. dos Santos, A., 2016, Advances in Artificial Intelligence. Springer, p. 207-212 (Lecture Notes in Computer Science, Vol. 9673).

    Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

    3 Citations (Scopus)

  • Optimizing Bayesian Networks for Recognition of Driving Maneuvers to Meet the Automotive Requirements

    Weidl, G., Madsen, A. L., Dietmar, K. & Breuel, G., 2014, Intelligent Control (ISIC), 2014 IEEE International Symposium. IEEE, p. 1626 -1631 6 p.

    Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

    File
    11 Citations (Scopus)
    1167 Downloads (Pure)

  • Parallel Filter-Based Feature Selection Based on Balanced Incomplete Block Designs

    Salmerón, A., Madsen, A. L., Jensen, F., Langseth, H., Nielsen, T. D., Ramos-López, D., Martinez, A. M. & Masegosa, A., 2016, ECAI 2016: 22nd European Conference on Artificial Intelligence. IOS Press, p. 743-750 8 p. (Frontiers in Artificial Intelligence and Applications, Vol. 285).

    Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

    Open Access
    1 Citation (Scopus)

  • Parallel importance sampling in conditional linear Gaussian networks

    Salmerón, A., Ramos-López, D., Borchani, H., Martinez, A. M., Masegosa, A. R., Fernández, A., Langseth, H., Madsen, A. L. & Nielsen, T. D., 2015, Advances in Artificial Intelligence: 16th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2015 Albacete, Spain, November 9–12, 2015 Proceedings. Puerta, J. M., Gámez, J. A., Dorronsoro, B., Barrenechea, E., Troncoso, A., Baruque, B. & Galar, M. (eds.). Springer, p. 36-46 (Lecture Notes in Computer Science; No. 9422).

    Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

    File
    7 Citations (Scopus)
    490 Downloads (Pure)

  • Parallelisation of the PC Algorithm

    Madsen, A. L., Jensen, F., Salmerón, A., Langseth, H. & Nielsen, T. D., 2015, Advances in Artificial Intelligence: 16th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2015 Albacete, Spain, November 9–12, 2015 Proceedings. Springer, p. 14-24 11 p. (Lecture Notes in Computer Science, Vol. 9422).

    Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

    File
    8 Citations (Scopus)
    326 Downloads (Pure)

  • Parameter learning algorithms for continuous model improvement using operational data

    Madsen, A. L., Jeppesen, N. S., Jensen, F., Sayed, M. S., Moser, U., Neto, L., Reis, J. & Lohse, N., 2017, Symbolic and Quantitative Approaches to Reasoning with Uncertainty: 14th European Conference, ECSQARU 2017, Proceedings. Springer, p. 115-124 10 p. (Lecture Notes In Artificial Intelligence; No. 10369).

    Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

    Open Access
    File
    2 Citations (Scopus)
    181 Downloads (Pure)

  • Prediction of High Risk of Deviations in Home Care Deliveries

    Madsen, A. L., Olesen, K. G., Løvschall, H. L., Søndberg-Jeppesen, N., Jensen, F., Lindblad, M., Mogensen, M. L. & Christensen, T. S., 2020, Proceedings of the 10th International Conference on Probabilistic Graphical Models, PMLR. Jaeger, M. & Dyhre Nielsen, T. (eds.). ML Research Press, p. 281-292 12 p. (The Proceedings of Machine Learning Research, Vol. 138).

    Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

  • Requirement Engineering for a Small Project with Pre-Specified Scope

    Nielsen, T. D., Hovda, S., Antontio, F., Langseth, H., Madsen, A. L., Masegosa, A. & Salmerón, A., 2014, NIK: Norsk Informatikkonferanse . 12 p.

    Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

    File
    1613 Downloads (Pure)

  • Scalable MAP inference in Bayesian networks based on a Map-Reduce approach

    Ramos-López, D., Salmerón, A., Rumí, R., Martinez, A. M., Nielsen, T. D., Masegosa, A., Langseth, H. & Madsen, A. L., 2016, JMLR Workshop and Conference Proceedings: Volume 52: Proceedings of the Eighth International Conference on Probabilistic Graphical Models. p. 415-425 12 p. (JMLR Workshop and Conference Proceedings, Vol. 52).

    Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

    Open Access

  • SelSus: Towards A Reference Architecture for Diagnostics and Predictive Maintenance Using Smart Manufacturing Devices

    Sayed, M., Lohse, N., Søndberg-Jeppesen, N. & Madsen, A. L., 2015, Proceedings of the 2015 IEEE International Conference on Industrial Informatics. IEEE, p. 1700 - 1705 6 p. (IEEE International Conference on Industrial Informatics (INDIN)).

    Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

    14 Citations (Scopus)

  • Simple Propagation with Arc-Reversal in Bayesian Networks

    Madsen, A. L., Butz, C. J., Oliveira, J. & dos Santos, A. E., 2018, Proceedings of Machine Learning Research. PMLR Press, Vol. 72. p. 260-271 (The Proceedings of Machine Learning Research).

    Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

    Open Access
    1 Citation (Scopus)

  • Situation Awareness and Early Recognition of Traffic Maneuvers

    Weidl, G., Madsen, A. L., Tereshchenko, V., Zhang, W., Wang, S. & Dietmar, K., 2016, Proceedings of the 9th EUROSIM Congress on Modelling and Simulation. IEEE, p. 7-16 10 p.

    Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

    Open Access

  • Solving Influence Diagrams with Simple Propagation

    Madsen, A. L., Butz, C. J., Oliveira, J. & dos Santos, A. E., 2019, Advances in Artificial Intelligence - 32nd Canadian Conference on Artificial Intelligence, Canadian AI 2019, Proceedings. Rudzicz, F. & Meurs, M-J. (eds.). Cham: Springer, p. 68-79 12 p. (Lecture Notes in Computer Science, Vol. 11489).

    Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review