Razvan Andonie

According to our database1, Razvan Andonie authored at least 60 papers between 2001 and 2020.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Weighted Random Search for CNN Hyperparameter Optimization.
Int. J. Comput. Commun. Control, 2020

Semiotic Aggregation in Deep Learning.
Entropy, 2020

Learning in Feedforward Neural Networks Accelerated by Transfer Entropy.
Entropy, 2020

Visualizing Transformers for NLP: A Brief Survey.
Proceedings of the 24th International Conference on Information Visualisation, 2020

2019
Hyperparameter optimization in learning systems.
J. Membr. Comput., 2019

Weighted Random Search for Hyperparameter Optimization.
Int. J. Comput. Commun. Control, 2019

Semantic Fake News Detection: A Machine Learning Perspective.
Proceedings of the Advances in Computational Intelligence, 2019

Classification of Stars using Stellar Spectra collected by the Sloan Digital Sky Survey.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
Parallel Bayesian ARTMAP and Its OpenCL Implementation.
Neural Process. Lett., 2018

Transfer Information Energy: A Quantitative Indicator of Information Transfer between Time Series.
Entropy, 2018

A Dynamic Early Stopping Criterion for Random Search in SVM Hyperparameter Optimization.
Proceedings of the Artificial Intelligence Applications and Innovations, 2018

CWU-Chess: An Adaptive Chess Program that Improves After Each Game.
Proceedings of the IEEE Games, Entertainment, Media Conference, 2018

2017
Asymptotically Unbiased Estimation of A Nonsymmetric Dependence Measure Applied to Sensor Data Analytics and Financial Time Series.
Int. J. Comput. Commun. Control, 2017

Parallel Implementation of a Bug Report Assignment Recommender Using Deep Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

Transfer Information Energy: A Quantitative Causality Indicator Between Time Series.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

Spark-Based Cluster Implementation of a Bug Report Assignment Recommender System.
Proceedings of the Artificial Intelligence and Soft Computing, 2017

2016
Incremental and Decremental SVM for Regression.
Int. J. Comput. Commun. Control, 2016

Mortality rate modeling of joint lives and survivor insurance contracts tested by a novel unilateral dependence measure.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Cost efficient prediction of Cabernet Sauvignon wine quality.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Comparison of Recent Machine Learning Techniques for Gender Recognition from Facial Images.
Proceedings of the 27th Modern Artificial Intelligence and Cognitive Science Conference 2016, 2016

Big Holes in Big Data: A Monte Carlo Algorithm for Detecting Large Hyper-Rectangles in High Dimensional Data.
Proceedings of the 40th IEEE Annual Computer Software and Applications Conference, 2016

2015
Accelerating Molecular Structure Determination Based on Inter-Atomic Distances Using OpenCL.
IEEE Trans. Parallel Distributed Syst., 2015

Real-time Monitoring of Tectonic Displacements in the Pacific Northwest through an Array of GPS Receivers.
Int. J. Comput. Commun. Control, 2015

Massively Parallel kNN using CUDA on Spam-Classification.
Proceedings of the 26th Modern AI and Cognitive Science Conference 2015, 2015

Sensor signal clustering with Self-Organizing Maps.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Music genre classification with Self-Organizing Maps and edit distance.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Financial data analysis using the informational energy unilateral dependency measure.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
Clustering and visualization of geodetic array data streams using self-organizing maps.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Multimedia, 2014

kNN estimation of the unilateral dependency measure between random variables.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

Bayesian ARTMAP prediction of biological activities for potential HIV-1 protease inhibitors using a small molecular dataset.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2014

2013
Bayesian ARTMAP for regression.
Neural Networks, 2013

Asymptotically Unbiased Estimator of the Informational Energy with kNN.
Int. J. Comput. Commun. Control, 2013

2012
Function Approximation with ARTMAP Architectures.
Int. J. Comput. Commun. Control, 2012

Clustering Superpeers in P2P Networks by Growing Neural Gas.
Proceedings of the 20th Euromicro International Conference on Parallel, 2012

Molecular distance geometry optimization using geometric build-up and evolutionary techniques on GPU.
Proceedings of the 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2012

2011
Fuzzy ARTMAP Prediction of Biological Activities for Potential HIV-1 Protease Inhibitors Using a Small Molecular Data Set.
IEEE ACM Trans. Comput. Biol. Bioinform., 2011

An Implementation of Evolutionary Computation Operators in OpenCL.
Proceedings of the Intelligent Distributed Computing V - Proceedings of the 5th International Symposium on Intelligent Distributed Computing - IDC 2011, Delft, The Netherlands, 2011

2010
Energy Supervised Relevance Neural Gas for Feature Ranking.
Neural Process. Lett., 2010

How to Write a Good Paper in Computer Science and HowWill It Be Measured by ISI Web of Knowledge.
Int. J. Comput. Commun. Control, 2010

Extreme Data Mining: Inference from Small Datasets.
Int. J. Comput. Commun. Control, 2010

2009
A Novel Fuzzy ARTMAP Architecture with Adaptive FeatureWeights based on Onicescu's Informational Energy.
Int. J. Comput. Commun. Control, 2009

An Adaptive Replication Algorithm in P2P File Systems with Unreliable Nodes.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2009

Fuzzy ARTMAP rule extraction in computational chemistry.
Proceedings of the International Joint Conference on Neural Networks, 2009

2008
Implementation Issues of an Incremental and Decremental SVM.
Proceedings of the Artificial Neural Networks, 2008

2007
Crossing the Rubicon: A Generic Intelligent Advisor.
Int. J. Comput. Commun. Control, 2007

Adaptive Distributed Database Replication Through Colonies of Pogo Ants.
Proceedings of the 21th International Parallel and Distributed Processing Symposium (IPDPS 2007), 2007

A New Fuzzy ARTMAP Approach for Predicting Biological Activity of Potential HIV-1 Protease Inhibitors.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2007

2006
Fuzzy ARTMAP with input relevances.
IEEE Trans. Neural Networks, 2006

An efficient concurrent implementation of a neural network algorithm.
Concurr. Comput. Pract. Exp., 2006

An Integrated Soft Computing Approach for Predicting Biological Activity of Potential HIV-1 Protease Inhibitors.
Proceedings of the International Joint Conference on Neural Networks, 2006

Event-driven load balancing of partially replicated objects through a swarm of mobile agents.
Proceedings of the Second IASTED International Conference on Computational Intelligence, 2006

2005
Using Kolmogorov Inspired Gates for Low Power Nanoelectronics.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

Informational Energy Kernel for LVQ.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

Neuro-fuzzy Prediction of Biological Activity and Rule Extraction for HIV-1 Protease Inhibitors.
Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2005

2004
Convergence properties of a fuzzy ARTMAP network.
Proceedings of the ESANN 2004, 2004

Neural networks for data mining: constrains and open problems.
Proceedings of the ESANN 2004, 2004

An informational energy LVQ approach for feature ranking.
Proceedings of the ESANN 2004, 2004

2003
A Modified Fuzzy ARTMAP Architecture for Incremental Learning Function Approximation.
Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence, 2003

A Fuzzy ARTMAP Probability Estimator with Relevance Factor.
Proceedings of the ESANN 2003, 2003

2001
A Class of Loop Self-Scheduling for Heterogeneous Clusters.
Proceedings of the 2001 IEEE International Conference on Cluster Computing (CLUSTER 2001), 2001


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