Bernardete Ribeiro

Research interests

Publications

• Designing optimized drug candidates with Generative Adversarial Network

  Journal of Cheminformatics · 2022 · 10.1186/s13321-022-00623-6

• Diversity oriented Deep Reinforcement Learning for targeted molecule generation

  Journal of Cheminformatics · 2021 · 10.1186/s13321-021-00498-z

• Drug-Target Interaction Prediction: End-to-End Deep Learning Approach

  IEEE Transactions on Computational Biology and Bioinformatics · 2020 · 10.1109/tcbb.2020.2977335

• A Survey on Home Energy Management

  IEEE Access · 2020 · 10.1109/access.2019.2963502

• Probabilistic modeling and visualization for bankruptcy prediction

  Applied Soft Computing · 2017 · 10.1016/j.asoc.2017.06.043

• Learning Supervised Topic Models for Classification and Regression from Crowds

  IEEE Transactions on Pattern Analysis and Machine Intelligence · 2017 · 10.1109/tpami.2017.2648786

• A Bayesian Additive Model for Understanding Public Transport Usage in Special Events

  IEEE Transactions on Pattern Analysis and Machine Intelligence · 2016 · 10.1109/tpami.2016.2635136

• Financial credit risk assessment: a recent review

  Artificial Intelligence Review · 2015 · 10.1007/s10462-015-9434-x

• Electrical Signal Source Separation Via Nonnegative Tensor Factorization Using On Site Measurements in a Smart Home

  IEEE Transactions on Instrumentation and Measurement · 2014 · 10.1109/tim.2013.2278596

• Gaussian Process Classification and Active Learning with Multiple Annotators

  Journal · 2014

• Sequence labeling with multiple annotators

  Machine Learning · 2013 · 10.1007/s10994-013-5411-2

• Learning from multiple annotators: Distinguishing good from random labelers

  Pattern Recognition Letters · 2013 · 10.1016/j.patrec.2013.05.012

• Towards adaptive learning with improved convergence of deep belief networks on graphics processing units

  Pattern Recognition · 2013 · 10.1016/j.patcog.2013.06.029

• Clustering and visualization of bankruptcy trajectory using self-organizing map

  Expert Systems with Applications · 2012 · 10.1016/j.eswa.2012.07.047

• Home electrical signal disaggregation for non-intrusive load monitoring (NILM) systems

  Neurocomputing · 2012 · 10.1016/j.neucom.2011.10.037

• Enhanced default risk models with SVM+

  Expert Systems with Applications · 2012 · 10.1016/j.eswa.2012.02.142

• Modeling epileptic brain states using EEG spectral analysis and topographic mapping

  Journal of Neuroscience Methods · 2012 · 10.1016/j.jneumeth.2012.07.006

• A genetic algorithm-based approach to cost-sensitive bankruptcy prediction

  Expert Systems with Applications · 2011 · 10.1016/j.eswa.2011.04.090

• Deep Learning Networks for Off-Line Handwritten Signature Recognition

  Lecture notes in computer science · 2011 · 10.1007/978-3-642-25085-9_62

• An Experimental Study on Electrical Signature Identification of Non-Intrusive Load Monitoring (NILM) Systems

  Lecture notes in computer science · 2011 · 10.1007/978-3-642-20267-4_4

• An improved approach to steganalysis of JPEG images

  Information Sciences · 2010 · 10.1016/j.ins.2010.01.001

• Image complexity and feature mining for steganalysis of least significant bit matching steganography

  Information Sciences · 2007 · 10.1016/j.ins.2007.08.007

• Support Vector Machines for Quality Monitoring in a Plastic Injection Molding Process

  IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews) · 2005 · 10.1109/tsmcc.2004.843228

• The importance of stop word removal on recall values in text categorization

  Journal · 2004 · 10.1109/ijcnn.2003.1223656

• A neural network for shortest path computation

  IEEE Transactions on Neural Networks · 2001 · 10.1109/72.950136

Current projects

No projects listed.