Somos UNIFESP

André Carlos Ponce de Leon Ferreira de Carvalho Fabio Augusto Faria Álvaro Luiz Fazenda Jurandy Gomes de Almeida Junior Marcelo Marcos Piva Demarzo Mateus Fernandes Réu Urban Nadja Simão Magalhães Ahmed Sameer El Khatib André Luiz Vizine Pereira Andrea de Abreu Feijó de Mello Caio Fernando Fontana Edson Luiz França Senne Fabio Gava Aoki Isabel Cristina Céspedes Luis Augusto Martins Pereira Marcos Gonçalves Quiles Mauri Aparecido de Oliveira Nitamar Abdala Reginaldo Massanobu Kuroshu Ricardo de Freitas Fernandes Pontes

Accelerometer data
Active Learning
Activity recognition
Adversarial Atacks
Algoritmos Genéticos
Algoritmos de Aprendizado
Anomaly detection
Aprendizado de máquina
Aquatic Weed
Artificial Immune Systems
AutoML
Automated Machine Learning
Automation
Average Handle Time
Biclustering
Bioinformatics
Bioinspired Computing
Biometrics
CBIR
CRISPR
CRISPR-CAS Systems
Call Center
Change detection
Ciência de dados
Ciência, Tecnologia e Inovação
Classification Methods
Classificação com uma classe
Computer-aided diagnosis
Concept drift
Customer Relationship Management (CRM)
Câncer
Data Analysis
Data Analytics
Data Classification
Data Science
Data Streams
Data characterization
Data cleaning
Data complexity
Data preprocessing
Data stream mining
Decision Trees
Deforestation area detection
Detecção de anomalias
Digital Cameras
Dimensionality Reduction
Educational mining
Ensemble
Ensembles
Evolutionary Computation
Explanaible Artificial Intelligence
Extração de características
Extreme Learning Machines
Face recognition
Feature Selection
Finance
Forecasting
Forest Monitoring
Fraud detection
Gene networks
Genetic Algorithms
Glass transition
Harassment
Hierarchical classification
Hiperheurístics
Human activity recognition
Hybrid Intelligent Systems
Hyper-parameter tuning
Iimage segmentation
Image Recognition
Image processing
Imbalanced Classes
Imbalanced classification
Imbalanced data
Intensive care units
Internet Service Providers
Keystroke dynamics
Latent Dirichlet Allocation Technique
Legislative Documents
Linear Programming
Machine Learning
Material Science
Medical image retrieval
Melhoramento de plantas
Meta-features
Meta-learning
Metafeatures
Metaheuristics
Metaheurísticas
Metalearning
Mindfulness
Mobility
Molecular Biology
Multiclass classification
Multilabel classification
Natural Computing
Natural Language Processing
Noise Detection
Novelty Detection
Object tracking
One class classificsation
Otimization
Oxide glass
Parameter tuning
Particle Swarm Optimization
Pattern Recognition
Performance Evaluation
Portfolio Optimization
Pre-miRNA recognition
Precision agriculture
Preprocessing
Property prediction
Protein function prediction
R language
Rainforest
Ranking classification
Recommendation systems
Recommender Systems
Regression trees induction
Remote Phenology
Responsible artificial intelligence
SVMs
Semi-supervised learning
Shape Analysis
Software Engineering
Spam Filtering
Spectral Clustering
Spraying
Supervisory and Specialist systems
Support Vector machines
Sustentability
Tensors
Text Categorization
Time series analysis
Traveling Salesman Problem
Tropical Forests
Unbiased Artificial Intelligence
Unmanned Aerial Vehicle
Variações genéticas
Very Fast Decision Trees
Wood boards classification
artificial intelligence
artificial neural networks
association rules
bioinformática
citizen science
clinical applications
clustering
computação evolutiva
covid-19
data mining
deep learning
games
image analysis
industrial automation
inteligencia artificial
law
learning to rank
miRNA prediction
microRNA
neural networks
neuroradiology
parameter selection
pre-processing
sensoriamento remoto
systematic review
validation indices
visualization

Palavra-chave: Machine Learning utilizada 308 vezes por 20 professores

Utilizada por 20 professores Por ordem de relevância (total: 20)

Palavras-chave relacionadas