561 results on '"Figueiredo, Mário"'
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102. Learning Similarities from Examples Under the Evidence Accumulation Clustering Paradigm
103. On the Combination of Information-Theoretic Kernels with Generative Embeddings
104. Moving Horizon Estimation of Pedestrian Interactions Based on Multiple Velocity Fields
105. Clustering and Selecting Categorical Features
106. An Incremental Bit Allocation Strategy for Supervised Feature Discretization
107. Consensus Clustering Using Partial Evidence Accumulation
108. Prognostic Prediction Using Clinical Expression Time Series: Towards a Supervised Learning Approach Based on Meta-biclusters
109. Boosting Algorithms: A Review of Methods, Theory, and Applications
110. Renal Cancer Cell Classification Using Generative Embeddings and Information Theoretic Kernels
111. A Generative Dyadic Aspect Model for Evidence Accumulation Clustering
112. Trajectory Analysis Using Switched Motion Fields: A Parametric Approach
113. Unsupervised Joint Feature Discretization and Selection
114. Information Theoretical Kernels for Generative Embeddings Based on Hidden Markov Models
115. Solving OSCAR regularization problems by fast approximate proximal splitting algorithms
116. Incremental filter and wrapper approaches for feature discretization
117. Generative embeddings based on Rician mixtures for kernel-based classification of magnetic resonance images
118. On the Suitability of Suffix Arrays for Lempel-Ziv Data Compression
119. Trajectory Modeling Using Mixtures of Vector Fields
120. Sharpening Hyperspectral Images Using Plug-and-Play Priors
121. Local Features Applied to Dermoscopy Images: Bag-of-Features versus Sparse Coding
122. Semi-Supervised Clustering: Application to Image Segmentation
123. Blind Estimation of Motion Blur Parameters for Image Deconvolution
124. Information Theoretic Text Classification Using the Ziv-Merhav Method
125. Bayesian Image Segmentation Using Gaussian Field Priors
126. Defect Detection in Textile Images Using Gabor Filters
127. Combining information theoretic kernels with generative embeddings for classification
128. Adaptive Sparse Regression
129. Similarity-Based Clustering of Sequences Using Hidden Markov Models
130. A Feature Selection Wrapper for Mixtures
131. Moving horizon estimation of pedestrian interactions using multiple velocity fields
132. Probabilistic consensus clustering using evidence accumulation
133. Towards a Classification Approach using Meta-Biclustering: Impact of Discretization in the Analysis of Expression Time Series
134. Discrimination of Tumor Texture Based on MRI Radiomic Features: Is There a Volume Threshold? A Phantom Study
135. Erratum to: A MAP Approach to Evidence Accumulation Clustering
136. Adaptive parametrically deformable contours
137. Fungos causadores de ferrugens (Uredinales) em áreas de cerrado no estado de São Paulo, Brasil
138. A Step Towards the Explainability of Microarray Data for Cancer Diagnosis with Machine Learning Techniques
139. Efecto de la temperatura en la tasa de depredación de la castañeta (Geophagus brasiliensis) sobre el caracol manzana (Pomacea canaliculata)
140. Signal and Image Restoration Using a Standard Hopfield Neural Network
141. Exploiting the Bin-Class Histograms for Feature Selection on Discrete Data
142. Adaptive total variation image deblurring: A majorization–minimization approach
143. Determination of the composition of counterfeit Heptodin [formula omitted] tablets by near infrared chemical imaging and classical least squares estimation
144. Intrapes, a New Genus of Fungi Imperfecti (Uredinales) from Brazilian Cerrado
145. The Hyphoid Aecium, a Rust-Alga Association (Dasyspora-Stomatochroon), and Other Corrections to Neotropical Rusts (Uredinales)
146. A MAP Approach to Evidence Accumulation Clustering
147. Feature Discretization with Relevance and Mutual Information Criteria
148. TimeSHAP: Explaining Recurrent Models through Sequence Perturbations
149. Improving performance and generalizability in radiogenomics: a pilot study for prediction of IDH1/2 mutation status in gliomas with multicentric data
150. Clustering and Selecting Categorical Features
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