Full Proceedings
Session 1
On the Benefit of using Time Series Features for Choosing a Forecasting Method
C. Lemke and B. Gabrys
Kernel Based Imputation of Coded Data Sets
T. Pitkäranta
Reliability of ARMA and GARCH Models of Electricity Spot Market Prices
P. Ptak, M. Jablonska, D. Habimana and T. Kauranne
Session Tools
A New Interface for MPI in MATLAB and its Application Over a Genetic Algorithm
A. Guillén, I. Rojas, G. Rubio, H. Pomares, L. J. Herrera and J. Gonzáles
Projection of time series with periodicity on a sphere
V. Onclinx, V. Wertz and M. Verleysen
A Variable Selection Approach Based on the Delta Test for Extreme Learning Machine Models
F. Mateo and A. Lendasse
Instance or Prototype Selection for Function Approximation Using Mutual Information
A. Guillén, L. J. Herrera, G. Rubio, A. Lendasse, H. Pomares and I. Rojas
Session 2
Automatic Detection of Onset and Cessation of Tree Stem Radius Increase using Dendrometer Data and CUSUM Charts
M. Sulkava, H. Mäkinen, P. Nöjd and J. Hollmén
Multistepahead Prediction of Rainfall Precipitation using the NARX Network
J. MenezesJúnior and G. Barreto
Session 3
Hybrid Criteria for Nearest Neighbor Selection with Avoidance of Biasing for Long Term Time Series Prediction
R. Abbas and M. Arif
Session Competition 1
Playout Delay Prediction in VoIP Applications: Linear Versus Nonlinear Time Series Models
J. Aragão and G. Barreto
Automatic Modelling of Neural Networks for Time Series Prediction in Search of a Uniform Methodology Across Varying Time Frequencies
N. Kourentzes and S. F. Crone
Long Term Time Series Prediction with MultiInput MultiOutput Local Learning
G. Bontempi
Session Competition 2
Revisiting Linear and Nonlinear Methodologies for Time Series Prediction  Application to ESTSP'08 Competition Data
M. Olteanu
Using Reservoir Computing in a Decomposition Approach for Time Series Prediction
F. Wyffels, B. Schrauwen and D. Stroobandt
Time Series Prediction using LSSVMs
M. Espinoza and T. Falck
Exogenous Data and Ensembles of MLPs for Solving the ESTSP Forecast Competition Tasks
P. Adeodato, A. Arnaud, G. Vasconcelos, R. Cunha and D. Monteiro
Session Competition 3
Use of Specifictoproblem Kernel Functions for Time Series Modeling
G. Rubio, A. Guillén, L. J. Herrera, H. Pomares and I. Rojas
Tabu Search with Delta Test for Time Series Prediction using OPKNN
D. Sovilj, A. Sorjamaa and Y. Miche
Longterm Prediction of Nonlinear Time Series with Recurrent Least Squares Support Vector Machines
I. Jaganjac
Regressive Fuzzy Inference Models with Clustering Identification: Application to the ESTSP'08 Competition
F. Montesino Pouzols and A. Barriga Barros
Session 4
Multiple Local ARX Modeling for System Identification using the Selforganizing Map
L. Souza and G. Barreto
Time Series Opportunities in the Petroleum Industry
R. Nybø
Homicide Flashup Prediction Algorithm Studying
D. Serebryakov and I. Kuznetsov
Session Finance
Neural Networks and their Application in the Fields of Corporate Finance
E. Séverin
Evolution of Interest Rate Curve: Empirical Analysis of Patterns using Nonlinear Clustering Tools
M. Kanevski, M. Maignan, V. Timonin and A. Pozdnoukhov
Bankruptcy Prediction and Neural Networks: the Contribution of Variable Selection Methods
P. Du Jardin
A Methodology for Time Series Prediction in Finance
Q. Yu, A Sorjamaa and Y. Miche
ESTSP 2008

171819 September 2008 
Porvoo, Finland