Presentations


On this page you will find presentations and posters made in relation to the AMIDST research project.

The following AMIDST presentations  and posters are published under a Creative Commons License.

2016

  1. AMIDST Toolbox: A Java Toolbox for Scalable Probabilistic Machine Learning by Rafael Cabanaz at the IEEE International Conference on Data Mining on December 13, 2016.
    Creative Commons licens
    The presentation is licensed under the Creative Commons Attribution-ShareALike 4.0 International License.

  2. AMIDST Toolbox: A Java Toolbox for Scalable Probabilistic Machine Learning by Andres Masegosa at Apache: Big Data Europe 2016 on November 14-16, 2016.
    Creative Commons licens
    The presentation is licensed under the Creative Commons Attribution-ShareALike 4.0 International License.

  3. On Real World Applications of Bayesian Networks by Anders L Madsen at the Statistics of Network Data Science - 2016 on September 21-23, 2016.
    Creative Commons licens
    The presentation is licensed under the Creative Commons Attribution-ShareALike 4.0 International License.

  4. Situation Awareness and Early Recognition of Traffic Maneuvers by Galia Weidl at the EUROSIM - 2016 on September 12-16, 2016.
    Creative Commons licens
    The presentation is licensed under the Creative Commons Attribution-ShareALike 4.0 International License.

  5. AMIDST Toolbox - A Java Toolbox for Scalable Probabilistic Machine Learning by Ana M. Martinez at the FlinkForward - 2016 on September 6-9, 2016.
    Creative Commons licens
    The presentation is licensed under the Creative Commons Attribution-ShareALike 4.0 International License.

  6. A Successful Collaboration between Industry, a R&D Active SME and Universities by Anders L Madsen at the PGM - 2016 on September 6-9, 2016.
    Creative Commons licens
    The presentation is licensed under the Creative Commons Attribution-ShareALike 4.0 International License.

  7. Scalable MAP inference in Bayesian networks based on a Map-Reduce approach by Antonio Salmeron at the PGM-2016 on September 6-9, 2016.
    Creative Commons licens
    The presentation is licensed under the Creative Commons Attribution-ShareALike 4.0 International License.

  8. d-VMP: Distributed Variational Message Passing by Ana Martinez at the PGM-2016 on September 6-9, 2016.
    Creative Commons licens
    The presentation is licensed under the Creative Commons Attribution-ShareALike 4.0 International License.

  9. Parallel Filter-Based Feature Selection Based on Balanced Incomplete Block Designs by Dario Ramos-Lopez at the ECAI-2016 on August 29 - September 2, 2016.
    Creative Commons licens
    The presentation is licensed under the Creative Commons Attribution-ShareALike 4.0 International License.

2015

  1. Analysis of massive data streams using R and AMIDST by Anders L Madsen at the useR!2015 on June 30 - July 3 in Aalborg, Denmark.
    Creative Commons licens
    The poster is licensed under the Creative Commons Attribution-ShareALike 4.0 International License.

  2. Early Recognition of Maneuvers in Highway Traffic by Anders L Madsen at the 13th European Conference Symbolic and Qualitative Approaches to Reasoning With Uncertainties, ECSQARU, 15-17 July 2015, At Compiegne, France.
    Creative Commons licens
    The presentation is licensed under the Creative Commons Attribution-ShareALike 4.0 International License.
  3. Learning Conditional Distributions Using Mixtures of Truncated Basis Functions by Inmaculada Perez-Bernabe at the 13th European Conference Symbolic and Qualitative Approaches to Reasoning With Uncertainties, ECSQARU, 15-17 July 2015, At Compiegne, France.
    Creative Commons licens
    The presentation is licensed under the Creative Commons Attribution-ShareALike 4.0 International License.

  4. MPE Inference in Conditional Linear Gaussian Networks by Antonio Salmeron at the 13th European Conference Symbolic and Qualitative Approaches to Reasoning With Uncertainties, ECSQARU, 15-17 July 2015, At Compiegne, France.
    Creative Commons licens
    The presentation is licensed under the Creative Commons Attribution-ShareALike 4.0 International License.

  5. Analysis of Massive Data Streams Using R (tutorial) by Antonio Salmeron at the XVIth Conference of the Spanish Association for Artificial Intelligence, CAEPIA, 9-12 November 2015, Albacete, Spain.
    Creative Commons licens
    The presentation is licensed under the Creative Commons Attribution-ShareALike 4.0 International License.

  6. Parallel Importance Sampling in Conditional Linear Gauessian Networks by Dario Ramos-Lopez at the XVIth Conference of the Spanish Association for Artificial Intelligence, CAEPIA, 9-12 November 2015, Albacete, Spain.
    Creative Commons licens
    The presentation is licensed under the Creative Commons Attribution-ShareALike 4.0 International License.

  7. Parallelization of the PC Algorithm by Antonio Salmeron at the XVIth Conference of the Spanish Association for Artificial Intelligence, CAEPIA, 9-12 November 2015, Albacete, Spain.
    Creative Commons licens
    The presentation is licensed under the Creative Commons Attribution-ShareALike 4.0 International License.

  8. Modeling concept drift: A probabilistic graphical model based approach by Hanen Borchani at the Fourteenth International Symposium on Intelligent Data Analysis, 22-24 October 2015 in Saint-Etienne, France.
    Creative Commons licens
    The presentation is licensed under the Creative Commons Attribution-ShareALike 4.0 International License.

  9. Dynamic Bayesian modeling for risk prediction in credit operations by Hanen Borchani at the 13th Scandinavian Conference on Artificial Intelligence, Halmstad, Sweden, November 5-6.
    Creative Commons licens
    The presentation is licensed under the Creative Commons Attribution-ShareALike 4.0 International License.

  10. AMIDST toolbox - A Java Library for Analysis of Massive Data Streams using Probabilistic Graphical Models by Andres Masagosa at The 27th Benelux Conference on Artificial Intelligence, Hasselt, Belgium, November 5-6, 2015.
    Creative Commons licens
    The presentation is licensed under the Creative Commons Attribution-ShareALike 4.0 International License.

2014

  1. Stochastic Discriminative EM by Andres R. Masegosa at the 30th Conference on Uncertainty in Artificial Intelligence (UAI) on July 23-27 in Quebec, Canada.
    Creative Commons licens
    The presentation is licensed under the Creative Commons Attribution-ShareALike 4.0 International License.

  2. A New Method for Vertical Parallelisation of TAN Learning Based on Balanced Incomplete Block Designs by Anders L Madsen at the 7th European Workshop on Probabilistic Graphical Models (PGM) on 17-19 September 2014 in Utrecht, The Netherlands.
    Creative Commons licens
    The presentation is licensed under the Creative Commons Attribution-ShareALike 4.0 International License.

  3. Optimizing Bayesian Networks for Recognition of Driving Maneuvers to Meet the Automotive Requirements by Galia Weidl at the 2014 IEEE Multi-Conference on Systems and Control on 8-10 October 2014 in Nice, France.
    Creative Commons License
    This presentation is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

  4. AMIDST - Analysis of Massive Data STreams poster presentation by Antonio Salmeron at the “European researchers night” meeting on September 26, 2014, in Almería, Spain.
    Creative Commons License
    This presentation is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License

  5. Requirent Engineering for a Small Project with Pre-Specied Scope by Sigve Hovda at Norsk Informatikkonferense, 17-19 November 2014, in Fredrikstad, Norway.
    Creative Commons licens
    The presentation is licensed under the Creative Commons Attribution-ShareALike 4.0 International License.

 
 


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