Antonina Starita

According to our database1, Antonina Starita authored at least 40 papers between 1993 and 2009.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2009
Expansive competitive learning for kernel vector quantization.
Pattern Recognit. Lett., 2009

2008
Competitive Repetition Suppression (CoRe) Clustering: A Biologically Inspired Learning Model With Application to Robust Clustering.
IEEE Trans. Neural Networks, 2008

Are Model-Based Clustering and Neural Clustering Consistent? A Case Study from Bioinformatics.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008

2007
Generative Kernels for Gene Function Prediction Through Probabilistic Tree Models of Evolution.
Proceedings of the Applications of Fuzzy Sets Theory, 2007

A Robust Bio-Inspired Clustering Algorithm for the Automatic Determination of Unknown Cluster Number.
Proceedings of the International Joint Conference on Neural Networks, 2007

Convergence Behavior of Competitive Repetition-Suppression Clustering.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

Hypothesis Testing with Classifier Systems for Rule-Based Risk Prediction.
Proceedings of the Evolutionary Computation, 2007

2006
Predicting Physical-Chemical Properties of Compounds from Molecular Structures by Recursive Neural Networks.
J. Chem. Inf. Model., 2006

Kernel Machines, Neural Networks, and Graphical Models.
Intelligenza Artificiale, 2006

A New Swarm Intelligence Coordination Model Inspired by Collective Prey Retrieval and Its Application to Image Alignment.
Proceedings of the Parallel Problem Solving from Nature, 2006

Competitive Repetition-suppression (CoRe) Learning.
Proceedings of the Artificial Neural Networks, 2006


2005
Post-processing Clustering to Decrease Variability in XCS Induced Rulesets.
Proceedings of the Learning Classifier Systems, International Workshops, 2005

Post-processing clustering to reduce XCS variability.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

2004
A Preliminary Investigation on Connecting Genotype to Oral Cancer Development through XCS.
Proceedings of the Biological and Artificial Intelligence Environments, 2004

A RLWPR network for learning the internal model of an anthropomorphic robot arm.
Proceedings of the 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems, Sendai, Japan, September 28, 2004

A Segmentation Algorithm for a Robotic Micro-endoscope for Exploration of the Spinal Cord.
Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004

2002
A tool for breast MR images processing and classification.
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002

Enhancing Tournament Selection to Prevent Code Bloat in Genetic Programming.
Proceedings of the Late Breaking papers at the Genetic and Evolutionary Computation Conference (GECCO-2002), 2002

2001
Analysis of the Internal Representations Developed by Neural Networks for Structures Applied to Quantitative Structure-Activity Relationship Studies of Benzodiazepines.
J. Chem. Inf. Comput. Sci., 2001

Magnetic resonance in mammography: a tool for the automatic detection of the regions of interest in contrast-enhanced magnetic resonance of the breast.
Proceedings of the CARS 2001. Computer Assisted Radiology and Surgery. Proceedings of the 15th International Congress and Exhibition, 2001

2000
Discriminant Pattern Recognition Using Transformation-Invariant Neurons.
Neural Comput., 2000

Application of Cascade Correlation Networks for Structures to Chemistry.
Appl. Intell., 2000

A Neural-Based System for the Automatic Classification and Follow-Up of Diabetic Retinopathies.
Proceedings of the Artificial Neural Networks in Biomedicine, 2000

1999
An Analysis of Automatic Subroutine Discovery in Genetic Programming.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 1999), 1999

1998
Implementing Robotic Grasping Tasks Using a Biological Approach.
Proceedings of the IEEE International Conference on Robotics and Automation, 1998

Q-Learning and Redundancy Reduction in Classifier Systems with Internal State.
Proceedings of the Machine Learning: ECML-98, 1998

1997
Supervised neural networks for the classification of structures.
IEEE Trans. Neural Networks, 1997

An approach to integrated tactile perception.
Proceedings of the 1997 IEEE International Conference on Robotics and Automation, 1997

1996
Extended Cascade-Correlation for Syntactic and Structural Pattern Recognition.
Proceedings of the Advances in Structural and Syntactical Pattern Recognition, 1996

A Constructive Learning Algorithm for Discriminant Tangent Models.
Proceedings of the Advances in Neural Information Processing Systems 9, 1996

A memory model based on LRAAM for associative access of structures.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

1995
NEUREX: a tutorial expert system for the diagnosis of neurogenic diseases of the lower limbs.
Artif. Intell. Medicine, 1995

A Neural Classifier for Radar Images.
Proceedings of the Applied Parallel Computing, 1995

Learning Distributed Representations for the Classification of Terms.
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

Modular Labeling RAAM.
Proceedings of the Artificial Neural Nets and Genetic Algorithms, 1995

Q-Learning and Parallelism in Evolutionary Rule Based Systems.
Proceedings of the Artificial Neural Nets and Genetic Algorithms, 1995

PANIC: A Parallel Evolutionary Rule Based System.
Proceedings of the Fourth Annual Conference on Evolutionary Programming, 1995

1994
Q-Learning in Evolutionary Rule Based Systems.
Proceedings of the Parallel Problem Solving from Nature, 1994

1993
Speed up learning and network optimization with extended back propagation.
Neural Networks, 1993


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