João Gama


Ontology type: schema:Person     


Person Info

NAME

João

SURNAME

Gama

Publications in SciGraph latest 50 shown

  • 2019 Process Mining for Analyzing Customer Relationship Management Systems: A Case Study in LEARNING FROM DATA STREAMS IN EVOLVING ENVIRONMENTS
  • 2019 Processing Evolving Social Networks for Change Detection Based on Centrality Measures in LEARNING FROM DATA STREAMS IN EVOLVING ENVIRONMENTS
  • 2019 Biased Dynamic Sampling for Temporal Network Streams in COMPLEX NETWORKS AND THEIR APPLICATIONS VII
  • 2018-11 On analyzing user preference dynamics with temporal social networks in MACHINE LEARNING
  • 2018-11 A comparison of hierarchical multi-output recognition approaches for anuran classification in MACHINE LEARNING
  • 2018-10-07 Online Gradient Boosting for Incremental Recommender Systems in DISCOVERY SCIENCE
  • 2018-10-07 Self Hyper-Parameter Tuning for Data Streams in DISCOVERY SCIENCE
  • 2018-09 Multi-label classification from high-speed data streams with adaptive model rules and random rules in PROGRESS IN ARTIFICIAL INTELLIGENCE
  • 2018-09 Dynamic graph summarization: a tensor decomposition approach in DATA MINING AND KNOWLEDGE DISCOVERY
  • 2018-05 Forgetting techniques for stream-based matrix factorization in recommender systems in KNOWLEDGE AND INFORMATION SYSTEMS
  • 2018 Efficient Incremental Laplace Centrality Algorithm for Dynamic Networks in COMPLEX NETWORKS & THEIR APPLICATIONS VI
  • 2018 Personalised Dynamic Viewer Profiling for Streamed Data in TRENDS AND ADVANCES IN INFORMATION SYSTEMS AND TECHNOLOGIES
  • 2017-10 Computational Models for Social and Technical Interactions in NEW GENERATION COMPUTING
  • 2017-10 Weightless neural networks for open set recognition in MACHINE LEARNING
  • 2017-10 WCDS: A Two-Phase Weightless Neural System for Data Stream Clustering in NEW GENERATION COMPUTING
  • 2017-08-09 Credit Scoring in Microfinance Using Non-traditional Data in PROGRESS IN ARTIFICIAL INTELLIGENCE
  • 2017-08-09 Improving Incremental Recommenders with Online Bagging in PROGRESS IN ARTIFICIAL INTELLIGENCE
  • 2017-08-09 Mobility Mining Using Nonnegative Tensor Factorization in PROGRESS IN ARTIFICIAL INTELLIGENCE
  • 2017-05 Fading histograms in detecting distribution and concept changes in INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS
  • 2017 Clustering from Data Streams in ENCYCLOPEDIA OF MACHINE LEARNING AND DATA MINING
  • 2017 Acute Kidney Injury Detection: An Alarm System to Improve Early Treatment in FOUNDATIONS OF INTELLIGENT SYSTEMS
  • 2017 Co-training Semi-supervised Learning for Single-Target Regression in Data Streams Using AMRules in FOUNDATIONS OF INTELLIGENT SYSTEMS
  • 2017 Scalable Online Top-N Recommender Systems in E-COMMERCE AND WEB TECHNOLOGIES
  • 2016-12 Dynamic community detection in evolving networks using locality modularity optimization in SOCIAL NETWORK ANALYSIS AND MINING
  • 2016-10 Sequential anomalies: a study in the Railway Industry in MACHINE LEARNING
  • 2016-05 MINAS: multiclass learning algorithm for novelty detection in data streams in DATA MINING AND KNOWLEDGE DISCOVERY
  • 2016-02 Novelty detection in data streams in ARTIFICIAL INTELLIGENCE REVIEW
  • 2016 Clustering from Data Streams in ENCYCLOPEDIA OF MACHINE LEARNING AND DATA MINING
  • 2016 Hierarchical Time Series Forecast in Electrical Grids in INFORMATION SCIENCE AND APPLICATIONS (ICISA) 2016
  • 2016 Evolution Analysis of Call Ego-Networks in DISCOVERY SCIENCE
  • 2016 Social Network Analysis in Streaming Call Graphs in BIG DATA ANALYSIS: NEW ALGORITHMS FOR A NEW SOCIETY
  • 2016 Concept Neurons – Handling Drift Issues for Real-Time Industrial Data Mining in MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES
  • 2016 How to Correctly Evaluate an Automatic Bioacoustics Classification Method in ADVANCES IN ARTIFICIAL INTELLIGENCE
  • 2016 Recognizing Family, Genus, and Species of Anuran Using a Hierarchical Classification Approach in DISCOVERY SCIENCE
  • 2016 Online Social Networks Event Detection: A Survey in SOLVING LARGE SCALE LEARNING TASKS. CHALLENGES AND ALGORITHMS
  • 2016 Measures for Combining Prediction Intervals Uncertainty and Reliability in Forecasting in PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON COMPUTER RECOGNITION SYSTEMS CORES 2015
  • 2016 An Overview of Concept Drift Applications in BIG DATA ANALYSIS: NEW ALGORITHMS FOR A NEW SOCIETY
  • 2016 Online Multi-label Classification with Adaptive Model Rules in ADVANCES IN ARTIFICIAL INTELLIGENCE
  • 2016 Online Semi-supervised Learning for Multi-target Regression in Data Streams Using AMRules in ADVANCES IN INTELLIGENT DATA ANALYSIS XV
  • 2016 On Using Temporal Networks to Analyze User Preferences Dynamics in DISCOVERY SCIENCE
  • 2016 Detection of Fraud Symptoms in the Retail Industry in ADVANCES IN ARTIFICIAL INTELLIGENCE - IBERAMIA 2016
  • 2015-12 Exploring multi-relational temporal databases with a propositional sequence miner in PROGRESS IN ARTIFICIAL INTELLIGENCE
  • 2015-09 Guest Editors introduction: special issue of the ECMLPKDD 2015 journal track in MACHINE LEARNING
  • 2015-09 Guest editors introduction: special issue of the ECMLPKDD 2015 journal track in DATA MINING AND KNOWLEDGE DISCOVERY
  • 2015-07 Probabilistic change detection and visualization methods for the assessment of temporal stability in biomedical data quality in DATA MINING AND KNOWLEDGE DISCOVERY
  • 2015 Distributed Reasoning in MATHEMATICS OF ENERGY AND CLIMATE CHANGE
  • 2015 An Experimental Study on Predictive Models Using Hierarchical Time Series in PROGRESS IN ARTIFICIAL INTELLIGENCE
  • 2015 Visualization for Streaming Telecommunications Networks in NEW FRONTIERS IN MINING COMPLEX PATTERNS
  • 2015 Challenges in Learning from Streaming Data Extended Abstract in ICT INNOVATIONS 2014
  • 2015-01 Very fast decision rules for classification in data streams in DATA MINING AND KNOWLEDGE DISCOVERY
  • Affiliations

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