Ana Maria Heuminski de Ávila

Luciana A. S. Romani, Ana Maria Heuminski de Ávila, Daniel Yoshinobu Takada Chino, Jurandir Zullo Jr., Richard Chbeir, Caetano Traina Jr., Agma J. M. Traina: A New Time Series Mining Approach Applied to Multitemporal Remote Sensing Imagery. IEEE T. Geoscience and Remote Sensing 51(1): 140-150 (2013)

Marcos Daniel Cano, Marilde Terezinha Prado Santos, Ana Maria Heuminski de Ávila, Luciana A. S. Romani, Agma J. M. Traina, Marcela Xavier Ribeiro: SART: A New Association Rule Method for Mining Sequential Patterns in Time Series of Climate Data. ICCSA (3) 2012: 743-757

Santiago Augusto Nunes, Ana Maria Heuminski de Ávila, Luciana A. S. Romani, Agma J. M. Traina, Priscila P. Coltri, Elaine P. M. de Sousa: To be or not to be real: fractal analysis of data streams from a regional climate change model. SAC 2012: 831-832

Santiago Augusto Nunes, Luciana A. S. Romani, Ana Maria Heuminski de Ávila, Caetano Traina Jr., Elaine P. M. de Sousa, Agma J. M. Traina: Fractal-based Analysis to Identify Trend Changes in Multiple Climate Time Series. JIDM 2(1): 51-58 (2011)

Luciana A. S. Romani, Ana Maria Heuminski de Ávila, Jurandir Zullo Jr., Caetano Traina Jr., Agma J. M. Traina: Mining Relevant and Extreme Patterns on Climate Time Series with CLIPSMiner. JIDM 1(2): 245-260 (2010)

Luciana A. S. Romani, Ana Maria Heuminski de Ávila, Jurandir Zullo Jr., Richard Chbeir, Caetano Traina Jr., Agma J. M. Traina: CLEARMiner: a new algorithm for mining association patterns on heterogeneous time series from climate data. SAC 2010: 900-905

Greice Martins de Freitas, Ana Maria Heuminski de Ávila, João Paulo Papa: Satellite-Based Rainfall Estimation through Semi-supervised Learning. CSIE (6) 2009: 1-5

Luciana A. S. Romani, Ana Maria Heuminski de Ávila, Jurandir Zullo Jr., Caetano Traina Jr., Agma J. M. Traina: Mining Climate and Remote Sensing Time Series to Discover the Most Relevant Climate Patterns. SBBD 2009: 181-195