| Vol-1425 urn:nbn:de:0074-1425-7 Copyright © 2015 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

# AALTD 2015
Advanced Analytics and Learning on Temporal Data

### Proceedings of the 1st International Workshop on Advanced Analytics and Learning on Temporal Data
co-located with The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2015)

### Porto, Portugal, September 11, 2015.

Edited by

### Ahlame Douzal-Chouakria (1)
José A. Vilar Fernández (2)
Pierre-François Marteau (3)
Ann E. Maharaj (4)
Andrés M. Alonso Fernández (5)
Edoardo Otranto (6)
Maria-Irina Nicolae (7)

(1) LIG, Equipe AMA, Université Joseph Fourier Grenoble, France.
(2) Research group MODES, Departamento de Matemáticas, Universidade da Coruña, Spain.
(3) IRISA, ENSIBS, Université de Bretagne Sud, France.
(4) Monash University, Australia.
(5) Departamento de Estadística, Universidad Carlos III de Madrid, Spain.
(6) Department of Cognitive Sciences, Educational and Cultural Studies, University of Messina, Italy.
(7) Jean Monnet University, France.

## Table of Contents

- Preface
- Programme and Reviewing Committees
- Conference programme schedule

### Invited paper

- Capturing Time-structures in Earth Observation Data with Gaussian Processes (abstract)
  Gustavo Camps-Valls

### Regular papers

- Monitoring Short Term Changes of Malaria Incidence in Uganda with Gaussian Processes
  Ricardo Andrade Pacheco, Martin Mubangizi, John Quinn, Neil Lawrence
- Bag-of-Temporal-SIFT-Words for Time Series Classification
  Adeline Bailly, Simon Malinowski, Romain Tavenard, Thomas Guyet, Lætitia Chapel
- An Exploratory Analysis of Multiple Multivariate Time Series
  Lynne Billard, Ahlame Douzal-Chouakria, Seyed Yaser Samadi
- Symbolic Representation of Time Series: A Hierarchical Coclustering Formalization
  Alexis Bondu, Marc Boullé, Antoine Cornuéjols
- Temporal and Frequential Metric Learning for Time Series kNN Classification
  Cao-Tri Do, Ahlame Douzal-Chouakria, Sylvain Marié, Michèle Rombaut
- Coarse-DTW: Exploiting Sparsity in Gesture Time Series
  Marc Dupont, Pierre-François Marteau
- Preliminary Experimental Analysis of Reservoir Computing Approach for Balance Assessment
  Claudio Gallicchio, Alessio Micheli, Luca Pedrelli, Federico Vozzi, Oberdan Parodi
- Estimating Dynamic Graphical Models from Multivariate Time-series Data
  Alexander J. Gibberd, James D.B. Nelson
- Sequential Pattern Mining on Multimedia Data
  Corentin Hardy, Laurent Amsaleg, Guillaume Gravier, Simon Malinowski, René Quiniou
- Time Series Classification in Dissimilarity Spaces
  Brijnesh J. Jain, Stephan Spiegel
- Temporal Density Extrapolation
  Georg Krempl
- Fuzzy Clustering of Series Using Quantile Autocovariances
  Borja R. Lafuente-Rego, José A. Vilar
- Causality on Longitudinal Data: Stable Specification Search in Constrained Structural Equation Modeling
  Ridho Rahmadi, Perry Groot, Marianne Heins, Hans Knoop, Tom Heskes
- CourboSpark: Decision Tree for Time-series on Spark
  Christophe Salperwyck, Simon Maby, Jérôme Cubillé, Matthieu Lagacherie
- Anomaly Detection in Temporal Graph Data: An Iterative Tensor Decomposition and Masking Approach
  Anna Sapienza, André Panisson, Joseph Wu, Laetitia Gauvin, Ciro Cattuto
- Progressive and Iterative Approaches for Time Series Averaging
  Saeid Soheily-Khah, Ahlame Douzal-Chouakria, Eric Gaussier
- Classification Factored Gated Restricted Boltzmann Machine
  Ivan Sorokin

The whole proceedings can also be downloaded as a single file (PDF, including preface, committees, conference information, author index and table of contents).
A BibTeX file for citing papers of this workshop from LaTeX is also provided.

2015-08-21: submitted by José A. Vilar, metadata incl. bibliographic data published under Creative Commons CC0
2015-08-21: published on CEUR-WS.org |valid HTML5|