Paulo J. G. Lisboa
Artificial Intelligence · 2006–2012
A researcher in the Science corpus: 5 papers; trusts 11 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 10 citations into it; #13,075 of 35,345 by trust here, #18,586 by citations
Whom Paulo J. G. Lisboa trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- B. D. Ripley
- Tom Chau
- Ian T. Jolliffe
- Ronald J. Williams
- Nils Lid Hjort
- Charles M. Bishop
- Teuvo Kohonen
- Lijuan Cao
- Douglas G. Altman
- Michael T. Gastner
Who trusts Paulo J. G. Lisboa overall
- Gethsiyal Augasta M
- Mohd Shawal Bin Jadin
- Evangelia Christodoulou
- Nadia Burkart
- Thangairulappan Kathirvalavakumar
- Soib Taib
- Alfredo Vellido
- Jie Ma
- Marco F. Huber
- Jianmin Jiang
Papers from Paulo J. G. Lisboa's perspective
Ordered by how strongly the researchers Paulo J. G. Lisboa trusts endorse each paper. Same corpus, a different order for every researcher.
- Neural networks for pattern recognition
- Pattern recognition and neural networks
- Self-Organizing Maps
- A Learning Algorithm for Continually Running Fully Recurrent Neural Networks
- A review of analytical techniques for gait data. Part 1: Fuzzy, statistical and fractal methods. (Gait & Posture)
- An Algorithm for Least-Squares Estimation of Nonlinear Parameters
- Experimental Analysis of the Real-time Recurrent Learning Algorithm
- Principal Component Analysis
- An Introduction to Variable and Feature Selection
- A METHOD FOR THE SOLUTION OF CERTAIN NON – LINEAR PROBLEMS IN LEAST SQUARES
Their papers
- Orthogonal search-based rule extraction (OSRE) for trained neural networks: a practical and efficient approach (2006) — 112 citations
- Financial time series prediction using polynomial pipelined neural networks (2008) — 57 citations
- Making machine learning models interpretable (2012) — 316 citations
- Comparing Analytical Decision Support Models Through Boolean Rule Extraction: A Case Study of Ovarian Tumour Malignancy (2007) — 11 citations
- The use of artificial neural networks in decision support in cancer: A systematic review (2006) — 483 citations