Search Results - "Canuto, Anne Magaly de Paula"
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An Efficient Approach to Select Instances in Self-Training and Co-Training Semi-Supervised Methods
Published in IEEE access (2022)“…Semi-supervised learning is a machine learning approach that integrates supervised and unsupervised learning mechanisms. In this learning, most of labels in…”
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A generalized average linkage criterion for Hierarchical Agglomerative Clustering
Published in Applied soft computing (01-03-2021)“…Hierarchical agglomerative clustering (HAC) is among the most widely adopted algorithms in unsupervised learning. This method employs a linkage criterion to…”
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Automatic Recommendation Method for Classifier Ensemble Structure Using Meta-Learning
Published in IEEE access (2021)“…Machine Learning (ML) is a field that aims to develop efficient techniques to provide intelligent decision making solutions to complex real problems. Among the…”
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Journal Article -
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Applying Efficient Selection Techniques of Unlabeled Instances for Wrapper-Based Semi-Supervised Methods
Published in IEEE access (2022)“…Semi-supervised learning (SSL) is a machine learning approach that integrates supervised and unsupervised learning mechanisms. This integration may be done in…”
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Interdisciplinary Data Analysis
Published in New generation computing (2018)Get full text
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Using Meta-learning in the Selection of the Combination Method of a Classifier Ensemble
Published in 2018 International Joint Conference on Neural Networks (IJCNN) (01-07-2018)“…Classifier ensembles have been widely studied in the literature as an attempt to increase the performance of individual classification structures. An important…”
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Robust Detection of Objects under Periodic Motion with Gaussian Process Filtering
Published in 2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA) (01-12-2020)“…Object Detection (OD) is an important task in Computer Vision with many practical applications. For some use cases, OD must be done on videos, where the object…”
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Conference Proceeding -
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Regression Ensembles for Fast Design Space Exploration of Heterogeneous Hardware Designs
Published in 2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA) (01-12-2020)“…In architectural design of embedded systems, machine learning (ML) has become a promising solution to provide robustness to the design space exploration (DSE)…”
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Conference Proceeding -
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Evaluating Brain Regions That Characterize Attention Deficit/Hyperactivity Disorder Based on SPECT Images and Machine Learning Models
Published in 2022 International Joint Conference on Neural Networks (IJCNN) (18-07-2022)“…Like other neurodevelopmental disorders, ADHD (attention deficit/hyperactivity disorder) typically manifests in preschool-aged children and results in…”
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Conference Proceeding -
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Robust Detection of Objects under Periodic Motion with Gaussian Process Filtering
Published 29-09-2020“…Object Detection (OD) is an important task in Computer Vision with many practical applications. For some use cases, OD must be done on videos, where the object…”
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Journal Article -
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Investigating the Impact of Combining Handwritten Signature and Keyboard Keystroke Dynamics for Gender Prediction
Published in 2019 8th Brazilian Conference on Intelligent Systems (BRACIS) (01-10-2019)“…The use of soft-biometric data as an auxiliary tool on user identification is already well known. Gender, hand-orientation and emotional state are some…”
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Conference Proceeding -
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Dynamic Feature Selection for Classifier Ensembles
Published in 2018 7th Brazilian Conference on Intelligent Systems (BRACIS) (01-10-2018)“…In this paper, we propose a novel approach for dynamic feature selection to be applied in classifier ensembles. This method selects the best attribute subsets…”
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Conference Proceeding -
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Automatic Recommendation Method for Classifier Ensemble Structure Using Meta-Learning
Published in Access, IEEE (2021)“…Machine Learning (ML) is a field that aims to develop efficient techniques to provide intelligent decision making solutions to complex real problems. Among the…”
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A 3D serious game for medical students training in clinical cases
Published in 2016 IEEE International Conference on Serious Games and Applications for Health (SeGAH) (01-05-2016)“…This paper describes an auxiliary environment in the process of teaching and learning for students and professors of medicine. The environment has a serious…”
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Conference Proceeding -
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A comparative investigation of the RePART neural network in pattern recognition tasks
Published in 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541) (2004)“…This work presents a comparative investigation of the performance of the RePART model with the ARTMAP-IC model, when applied to two tasks of pattern…”
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Conference Proceeding -
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A normal form which preserves 1-tautologies and 0-contradictions in a class of residuum-based propositional fuzzy logics
Published in 2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542) (2004)“…The most normal forms for fuzzy logics are versions of conjunctive and disjunctive classical normal forms. Unfortunately, they do not preserve neither…”
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Conference Proceeding