Diagnostic Techniques and Surgical Management of Brain Tumors, 2011
... In the presence of tumors, DTI fiber tracking can assess displacement and deformation of fibe... more ... In the presence of tumors, DTI fiber tracking can assess displacement and deformation of fiber bundles, as a consequence modifying the surgical intervention (Bello et al., 2008). In summary, MRI is considered to be safe and non-invasive. ...
The cancer disease in Hijuelas-Chile represents the 45% of the population deaths in the last deca... more The cancer disease in Hijuelas-Chile represents the 45% of the population deaths in the last decade. This high mortality rate have concerned the sanitary authority that lacks of information to identify the risk groups and the factors that influence in the disease. In this work we propose a clustering algorithm for mixed numerical, categorical and multi-valued attributes. We apply our proposed algorithm to identify and to characterize the common patterns in people who died of cancer in the population of Hijuelas between 1994 and 2006. As a consequence of this research, we were able to characterize the people who died of Cancer in Hijuelas-Chile.
ABSTRACT This work proposes a method to find the set of the most influential lags and the rule st... more ABSTRACT This work proposes a method to find the set of the most influential lags and the rule structure of a Takagi–Sugeno–Kang (TSK) fuzzy model for time series applications. The proposed method resembles the techniques that prioritize lags, evaluating the proximity of nearby samples in the input space using the closeness of the corresponding target values. Clusters of samples are generated, and the consistency of the mapping between the predicted variable and the set of candidate past values is evaluated. A TSK model is established, and possible redundancies in the rule base are avoided. The proposed method is evaluated using simulated and real data. Several simulation experiments were conducted for five synthetic nonlinear autoregressive processes, two nonlinear vector autoregressive processes and eight benchmark time series. The results show a competitive performance in the mean square error and a promising ability to find a proper set of lags for a given autoregressive process.
The learning process of the Feedforward Artificial Neural Networks relies on the data, though a r... more The learning process of the Feedforward Artificial Neural Networks relies on the data, though a robustness analysis of the param- eter estimates of the model must be done due to the presence of outlying observations in the data. In this paper we seek the robust properties in the parameter estimates in the sense that the influence of aberrant ob- servations
The architectural design of neuro-fuzzy models is one of the major concern in many important appl... more The architectural design of neuro-fuzzy models is one of the major concern in many important applications. In this work we propose an extension to Rogers's ANFIS model by providing it with a selforganizing mechanism. The main purpose of this mechanism is to ...
Diagnostic Techniques and Surgical Management of Brain Tumors, 2011
... In the presence of tumors, DTI fiber tracking can assess displacement and deformation of fibe... more ... In the presence of tumors, DTI fiber tracking can assess displacement and deformation of fiber bundles, as a consequence modifying the surgical intervention (Bello et al., 2008). In summary, MRI is considered to be safe and non-invasive. ...
The cancer disease in Hijuelas-Chile represents the 45% of the population deaths in the last deca... more The cancer disease in Hijuelas-Chile represents the 45% of the population deaths in the last decade. This high mortality rate have concerned the sanitary authority that lacks of information to identify the risk groups and the factors that influence in the disease. In this work we propose a clustering algorithm for mixed numerical, categorical and multi-valued attributes. We apply our proposed algorithm to identify and to characterize the common patterns in people who died of cancer in the population of Hijuelas between 1994 and 2006. As a consequence of this research, we were able to characterize the people who died of Cancer in Hijuelas-Chile.
ABSTRACT This work proposes a method to find the set of the most influential lags and the rule st... more ABSTRACT This work proposes a method to find the set of the most influential lags and the rule structure of a Takagi–Sugeno–Kang (TSK) fuzzy model for time series applications. The proposed method resembles the techniques that prioritize lags, evaluating the proximity of nearby samples in the input space using the closeness of the corresponding target values. Clusters of samples are generated, and the consistency of the mapping between the predicted variable and the set of candidate past values is evaluated. A TSK model is established, and possible redundancies in the rule base are avoided. The proposed method is evaluated using simulated and real data. Several simulation experiments were conducted for five synthetic nonlinear autoregressive processes, two nonlinear vector autoregressive processes and eight benchmark time series. The results show a competitive performance in the mean square error and a promising ability to find a proper set of lags for a given autoregressive process.
The learning process of the Feedforward Artificial Neural Networks relies on the data, though a r... more The learning process of the Feedforward Artificial Neural Networks relies on the data, though a robustness analysis of the param- eter estimates of the model must be done due to the presence of outlying observations in the data. In this paper we seek the robust properties in the parameter estimates in the sense that the influence of aberrant ob- servations
The architectural design of neuro-fuzzy models is one of the major concern in many important appl... more The architectural design of neuro-fuzzy models is one of the major concern in many important applications. In this work we propose an extension to Rogers's ANFIS model by providing it with a selforganizing mechanism. The main purpose of this mechanism is to ...
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Papers by Rodrigo SALAS