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Characterizing Parkinson's Disease from Speech Samples Using Deep Structured Learning.

L. Sousa, D. Braga, A. Madureira, L. Coelho, and F. Renna. SoCPaR, volume 942 of Advances in Intelligent Systems and Computing, page 137-146. Springer, (2018)

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Mahathi Anand University of Stuttgart

Viraatt Sai Anasuri University of Stuttgart

Ana Cutuk University of Stuttgart

Ana Baric University of Stuttgart

Ana-Maria Okuka

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Multi-apprentice learning for meta-heuristics parameter tuning in a Multi Agent Scheduling System.I. Pereira, A. Madureira, and P. de Moura Oliveira. NaBIC, page 31-36. IEEE, (2012)A User-Centered Interface for Scheduling Problem Definition.J. Piairo, A. Madureira, J. Pereira, and I. Pereira. WorldCIST, volume 206 of Advances in Intelligent Systems and Computing, page 1063-1073. Springer, (2013)Characterizing Parkinson's Disease from Speech Samples Using Deep Structured Learning.L. Sousa, D. Braga, A. Madureira, L. Coelho, and F. Renna. SoCPaR, volume 942 of Advances in Intelligent Systems and Computing, page 137-146. Springer, (2018)Ontology-Based Meta-model for Hybrid Collaborative Scheduling.L. Varela, G. Putnik, V. Manupti, A. Madureira, A. Santos, G. Amaral, and L. Ferreirinha. HIS, volume 923 of Advances in Intelligent Systems and Computing, page 408-417. Springer, (2018)Metaheuristics Parameter Tuning Using Racing and Case-Based Reasoning in Scheduling Systems.I. Pereira, A. Madureira, and B. Cunha. ISDA, volume 557 of Advances in Intelligent Systems and Computing, page 911-920. Springer, (2016)An architecture for user modeling on Intelligent and Adaptive Scheduling Systems.A. Madureira, B. Cunha, J. Pereira, I. Pereira, and S. Gomes. NaBIC, page 103-108. IEEE, (2014)Case-based reasoning for Self-Optimizing behavior.I. Pereira, and A. Madureira. SMC, page 4236-4243. IEEE, (2010)Developing Issues for Ant Colony System Based Approach for Scheduling Problems.A. Madureira, I. Pereira, and A. Abraham. Trans. Computational Science, (2013)Towards Scheduling Optimization through Artificial Bee Colony Approach.A. Madureira, I. Pereira, and A. Abraham. NaBIC, page 253-258. IEEE, (2013)Evaluating the effectiveness of Bayesian and Neural Networks for Adaptive Schedulling Systems.B. Cunha, A. Madureira, J. Pereira, and I. Pereira. SSCI, page 1-6. IEEE, (2016)