20122020

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  • 2020

    A Software System for Predicting Patient Flow at the Emergency Department of Aalborg University Hospital

    Madsen, A. L., Olesen, K. G., Møller, J. M., Søndberg-Jeppesen, N., Jensen, F., Larsen, T. M., Henriksen, P., Lindblad, M. & Christensen, T. S., 2020, Proceedings of the 10th International Conference on Probabilistic Graphical Models, PMLR. Jaeger, M. & Dyhre Nielsen, T. (red.). ML Research Press, s. 617-620 (The Proceedings of Machine Learning Research, Bind 138).

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  • 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. (red.). ML Research Press, s. 281-292 12 s. (The Proceedings of Machine Learning Research, Bind 138).

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  • 2019

    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. (red.). Cham: Springer, s. 42-54 13 s. (Lecture Notes in Computer Science, Bind 11489).

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  • 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. (red.). Cham: Springer, s. 68-79 12 s. (Lecture Notes in Computer Science, Bind 11489).

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  • 2018

    A component framework as an enabler for industrial cyber physical systems

    Neto, L., Madsen, A. L., Søndberg-Jeppesen, N., Silva, R., Reis, J., McIntyre, P. & Gonçalves, G., 15 jun. 2018, Proceedings - 2018 IEEE Industrial Cyber-Physical Systems, ICPS 2018. IEEE, s. 339-344 6 s.

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    1 Citationer (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, Bind 72. s. 260-271 (The Proceedings of Machine Learning Research).

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  • 2017

    Applying object-oriented bayesian networks for smart diagnosis and health monitoring at both component and factory level

    Madsen, A. L., Søndberg-Jeppesen, N., Sayed, M. S., Peschl, M. & Lohse, N., 2017, Advances in Artificial Intelligence: From Theory to Practice: 30th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2017, Proceedings. Springer, Bind Part II. s. 132-141 10 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 10351 LNCS).

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    1 Citationer (Scopus)
  • Bayesian models of data streams with Hierarchical Power Priors

    Masegosa, A., Nielsen, T. D., Langseth, H., Ramos-López, D., Salmerón, A. & Madsen, A. L., 2017, Proceedings of the 34th International Conference on Machine Learning. Bind 70. s. 2334-2343

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    1 Citationer (Scopus)
  • 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, s. 1284-1287 4 s. 7836816

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    4 Citationer (Scopus)
  • 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, s. 115-124 10 s. (Lecture Notes In Artificial Intelligence; Nr. 10369).

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    1 Citationer (Scopus)
    117 Downloads (Pure)
  • 2016

    Bayesian Network Inference with Simple Propagation

    Butz, C. J., Oliveira, J., E. dos Santos, A. & Madsen, A. L., 2016, Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference. AAAI Press Association for the Advancement of Artificial Intelligence, s. 650-655 6 s.

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    5 Citationer (Scopus)
  • d-VMP: Distributed Variational Message Passing

    Masegosa, A., Martinez, A. M., Langseth, H., Nielsen, T. D., Salmerón, A., Ramos-López, D. & Madsen, A. L., 2016, JMLR Workshop and Conference Proceedings: Volume 52: Proceedings of the Eighth International Conference on Probabilistic Graphical Models. s. 321-332 12 s. (JMLR Workshop and Conference Proceedings, Bind 52).

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    7 Citationer (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, s. 207-212 (Lecture Notes in Computer Science, Bind 9673).

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    2 Citationer (Scopus)
  • 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, s. 743-750 8 s. (Frontiers in Artificial Intelligence and Applications, Bind 285).

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  • 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. s. 415-425 12 s. (JMLR Workshop and Conference Proceedings, Bind 52).

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  • 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, s. 7-16 10 s.

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  • 2015

    A Methodology for Developing Local Smart Diagnostic Models Using Expert Knowledge

    Madsen, A. L., Søndberg-Jeppesen, N., Lohse, N. & Sayed, M., 2015, Proceedings of the 2015 IEEE 13th International Conference on Industrial Informatics. IEEE, s. 1682 - 1687 6 s.

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    3 Citationer (Scopus)
  • AMIDST: Analysis of MassIve Data STreams

    Masegosa, A., Martinez, A. M., Borchani, H., Ramos-López, D., Nielsen, T. D., Langseth, H., Salmerón, A. & Madsen, A. L., okt. 2015, The 27th Benelux Conference on Artificial Intelligence (BNAIC 2015).

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  • Dynamic Bayesian modeling for risk prediction in credit operations

    Borchani, H., Martinez, A. M., Masegosa, A., Langseth, H., Nielsen, T. D., Salmerón, A., Fernández, A., Madsen, A. L. & Sáez, R., 2015, The 13th Scandinavian Conference on Artificial Intelligence (SCAI'2015). IOS Press, s. 17-26 (Frontiers in Artificial Intelligence and Applications, Bind 278).

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    4 Citationer (Scopus)
    284 Downloads (Pure)
  • 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. (red.). Springer, s. 529-540 (Lecture Notes in Computer Science; Nr. 9161).

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    2 Citationer (Scopus)
  • 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. (red.). Springer, s. 3-15

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    3 Citationer (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. (red.). Springer, s. 72-83 (Lecture Notes in Computer Science; Nr. 9385).

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    13 Citationer (Scopus)
    473 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. (red.). Springer, s. 407-416 (Lecture Notes in Computer Science; Nr. 9161).

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    4 Citationer (Scopus)
    359 Downloads (Pure)
  • 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. (red.). Springer, s. 36-46 (Lecture Notes in Computer Science; Nr. 9422).

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    7 Citationer (Scopus)
    344 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, s. 14-24 11 s. (Lecture Notes in Computer Science, Bind 9422).

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    5 Citationer (Scopus)
    230 Downloads (Pure)
  • 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, s. 1700 - 1705 6 s. (IEEE International Conference on Industrial Informatics (INDIN)).

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    12 Citationer (Scopus)
  • 2014

    A new method for vertical parallelisation of TAN learning based on balanced incomplete block designs

    Madsen, A. L., Jensen, F., Salmerón, A., Karlsen, M., Langseth, H. & Nielsen, T. D., 2014, Proceedings of the 7th European Workshop on Probabilistic Graphical Models. Springer Publishing Company, Bind 8754. s. 302-317 16 s. (Lecture Notes in Computer Science).

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    9 Citationer (Scopus)
  • Bayesian Network Inference Using Marginal Trees

    Butz, C. J., de S. Oliveira, J. & Madsen, A. L., 2014, Proceedings of the 7th European Workshop on Probabilistic Graphical Models. Springer Publishing Company, Bind 8754. s. 81-96 (Lecture Notes in Computer Science).

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    2 Citationer (Scopus)
  • Bayesian Networks with Function Nodes

    Madsen, A. L., 2014, Proceedings of the 7th European Workshop on Probabilistic Graphical Models. Springer Publishing Company, Bind 8754. s. 286-301 (Lecture Notes in Computer Science).

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    2 Citationer (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, Bind 442. s. 506-516

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    3 Citationer (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, Bind 8754. s. 97-112 (Lecture Notes in Computer Science).

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    3 Citationer (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, s. 1626 -1631 6 s.

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    7 Citationer (Scopus)
    823 Downloads (Pure)
  • 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 s.

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    1235 Downloads (Pure)
  • 2013

    Approximate Lazy Evaluation of Influence Diagrams

    Cabañas, R., Cano, A., Gómez-Olmedo, M. & Madsen, A. L., 2013, Proceedings of the 15th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2013. Bielza, C., Salmerón, A., Alonso-Betanzos, A., Ignacio Hidalgo, J., Martínez, L., Troncoso, A., Corchado, E. & Corchado, J. M. (red.). Springer Publishing Company, Bind LNCP 8109. s. 321-331 (Lecture Notes in Computer Science, Bind 8109).

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    1 Citationer (Scopus)
  • A software package for web deployment of probabilistic graphical models

    Madsen, A. L., Karlsen, M., Barker, G. C., Garcia, A. B., Hoorfar, J., Jensen, F. & Vigre, H., 2013, Frontiers in Artificial Intelligence and Applications. Jaeger, M., Nielsen, T. D. & Viappiani, P. (red.). IOS Press, Bind 257. s. 175-184 10 s. (Frontiers in Artificial Intelligence and Applications, Bind 257).

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    5 Citationer (Scopus)
  • d-Separation: Strong Completeness of Semantics in Bayesian Network Inference

    Butz, C. J., Yan, W. & Madsen, A. L., 2013, Advances in Artificial Intelligence: 26th Canadian Conference on Artificial Intelligence, Canadian AI 2013, Regina, SK, Canada, May 28-31, 2013. Proceedings. Zaïane, O. R. & Zilles, S. (red.). Springer Publishing Company, Bind 7884. s. 13-24 (Lecture Notes in Computer Science, Bind 7884).

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    4 Citationer (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. (red.). IOS Press, Bind 257. s. 65-74 10 s. (Frontiers in Artificial Intelligence and Applications).

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    1 Citationer (Scopus)
  • 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. (red.). Springer Publishing Company, s. 73-84 (Lecture Notes in Computer Science, Bind 7958).

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    3 Citationer (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, Bind 7958. s. 400-411 (Lecture Notes in Computer Science, Bind 7958).

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    1 Citationer (Scopus)
  • 2012

    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, s. 227-234 8 s.

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    6 Citationer (Scopus)