Gabriela Serban Czibula

Ioana-Gabriela Chelaru

Arthur Molnar

Proceedings of the 19th International Conference on Evaluation of Novel Approaches to Software Engineering, 2024

Enriching the Semantic Representation of the Source Code with Natural Language-Based Features from Comments for Improving the Performance of Software Defect Prediction.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Evaluation of Novel Approaches to Software Engineering, 2024

2023

MM-StackEns: A new deep multimodal stacked generalization approach for protein-protein interaction prediction.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, February, 2023

ConvSNow: A tailored Conv-LSTM architecture for weather nowcasting based on satellite imagery.

[BibT_eX]

[DOI]

Adelin Mihoc

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

An unsupervised learning-based methodology for uncovering behavioural patterns for specific types of software defects.

[BibT_eX]

[DOI]

Ioana-Gabriela Chelaru

Arthur-Jozsef Molnar

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

A study on the relevance of semantic features extracted using BERT-based language models for enhancing the performance of software defect classifiers.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

Uncovering Behavioural Patterns of One: And Binary-Class SVM-Based Software Defect Predictors.

[BibT_eX]

[DOI]

George Ciubotariu

Ioana-Gabriela Chelaru

Proceedings of the 18th International Conference on Software Technologies, 2023

Im2Vide0: A Zero-Shot approach using diffusion models for natural language conditioned Image-to-Video.

[BibT_eX]

[DOI]

Paul-Dumitru Orasan

Proceedings of the 19th IEEE International Conference on Intelligent Computer Communication and Processing, 2023

Policy-Based Reinforcement Learning in the Generalized Rock-Paper-Scissors Game.

[BibT_eX]

[DOI]

Mali Imre Gergely

Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

2022

NeXtNow: A Convolutional Deep Learning Model for the Prediction of Weather Radar Data for Nowcasting Purposes.

[BibT_eX]

[DOI]

Sorin Burcea

Abdelkader Mezghani

Remote. Sens., 2022

IntelliSwAS: Optimizing deep neural network architectures using a particle swarm-based approach.

[BibT_eX]

[DOI]

Sergiu Cosmin Nistor

Expert Syst. Appl., 2022

An in-Depth Analysis of the Software Features' Impact on the Performance of Deep Learning-Based Software Defect Predictors.

[BibT_eX]

[DOI]

IEEE Access, 2022

IntelliDaM: A Machine Learning-Based Framework for Enhancing the Performance of Decision-Making Processes. A Case Study for Educational Data Mining.

[BibT_eX]

[DOI]

IEEE Access, 2022

MBMT-Net: A Multi-Task Learning Based Convolutional Neural Network Architecture for Dense Prediction Tasks.

[BibT_eX]

[DOI]

George Ciubotariu

IEEE Access, 2022

SoftId: An autoencoder-based one-class classification model for software authorship identification.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

2021

DAuGAN: An Approach for Augmenting Time Series Imbalanced Datasets via Latent Space Sampling Using Adversarial Techniques.

[BibT_eX]

[DOI]

Andrei Bratu

Sci. Program., 2021

AnomalP: An approach for detecting anomalous protein conformations using deep autoencoders.

[BibT_eX]

[DOI]

Carmina Codre

Expert Syst. Appl., 2021

AutoPPI: An Ensemble of Deep Autoencoders for Protein-Protein Interaction Prediction.

[BibT_eX]

[DOI]

Camelia Chira

Entropy, 2021

A study on using deep autoencoders for imbalanced binary classification.

[BibT_eX]

[DOI]

Stefan Nitica

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

DeePS at: A deep learning model for prediction of satellite images for nowcasting purposes.

[BibT_eX]

[DOI]

Eugen Mihulet

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

AutoAt: A deep autoencoder-based classification model for supervised authorship attribution.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

Enhancing the Performance of Image Classification Through Features Automatically Learned from Depth-Maps.

[BibT_eX]

[DOI]

George Ciubotariu

Proceedings of the Computer Vision Systems - 13th International Conference, 2021

A machine learning approach for data protection in virtual reality therapy applications.

[BibT_eX]

[DOI]

Maria-Madalina Mircea

Rares F. Boian

Proceedings of the 17th IEEE International Conference on Intelligent Computer Communication and Processing, 2021

2020

CVSimP: An approach for predicting proteins' structural similarity using one-shot learning.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2020

XNow: A deep learning technique for nowcasting based on radar products' values prediction.

[BibT_eX]

[DOI]

Ioana Angela Socaci

Proceedings of the 14th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2020

A comparative study on using unsupervised learning based data analysis techniques for breast cancer detection.

[BibT_eX]

[DOI]

Stefan Nitica

Proceedings of the 14th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2020

Unsupervised learning based mining of academic data sets for students' performance analysis.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2020

Analysing protein dynamics using machine learning based generative models.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2020

COMET: A conceptual coupling based metrics suite for software defect prediction.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES-2020, 2020

RadRAR: A relational association rule mining approach for nowcasting based on predicting radar products' values.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES-2020, 2020

2019

An aggregated coupling measure for the analysis of object-oriented software systems.

[BibT_eX]

[DOI]

J. Syst. Softw., 2019

A novel concurrent relational association rule mining approach.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2019

Using clustering models for uncovering proteins' structural similarity.

[BibT_eX]

[DOI]

Proceedings of the 13th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2019

AutoSimP: An Approach for Predicting Proteins' Structural Similarities Using an Ensemble of Deep Autoencoders.

[BibT_eX]

[DOI]

Carmina Codre

Proceedings of the Knowledge Science, Engineering and Management, 2019

Software Defect Prediction Using a Hybrid Model Based on Semantic Features Learned from the Source Code.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Science, Engineering and Management, 2019

A Study on Applying Relational Association Rule Mining Based Classification for Predicting the Academic Performance of Students.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Science, Engineering and Management, 2019

ProteinA: An Approach for Analyzing and Visualizing Protein Conformational Transitions Using Fuzzy and Hard Clustering Techniques.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Science, Engineering and Management, 2019

DynGRAR: A dynamic approach to mining gradual relational association rules.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 23rd International Conference KES-2019, 2019

DynFloR: A Flow Approach for Data Delivery Optimization in Multi-Robot Network Patrolling.

[BibT_eX]

[DOI]

Zsuzsanna Onet-Marian

Marin-Georgian Badita

Mihai-Ioan Popescu

Jilles Steeve Dibangoye

Olivier Simonin

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 23rd International Conference KES-2019, 2019

Using self-organizing maps for unsupervised analysis of radar data for nowcasting purposes.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 23rd International Conference KES-2019, 2019

S PRAR: A novel relational association rule mining classification model applied for academic performance prediction.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 23rd International Conference KES-2019, 2019

Analyzing Meteorological Data Using Unsupervised Learning Techniques.

[BibT_eX]

[DOI]

Eugen Mihulet

Proceedings of the 15th IEEE International Conference on Intelligent Computer Communication and Processing, 2019

2018

A novel approach for software defect prediction through hybridizing gradual relational association rules with artificial neural networks.

[BibT_eX]

[DOI]

Inf. Sci., 2018

An effective approach for determining the class integration test order using reinforcement learning.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2018

Analyzing the Impact of Protein Representation on Mining Structural Patterns from Protein Data.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2018

Using unsupervised learning methods for enhancing protein structure insight.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 22nd International Conference KES-2018, 2018

A new incremental relational association rules mining approach.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 22nd International Conference KES-2018, 2018

Optimizing Convolutional Neural Networks for low-resource devices.

[BibT_eX]

[DOI]

Cosmin-Ionut Rusu

Proceedings of the 14th IEEE International Conference on Intelligent Computer Communication and Processing, 2018

KarySOM: An Unsupervised Learning based Approach for Human Karyotyping using Self-Organizing Maps.

[BibT_eX]

[DOI]

Casian-Nicolae Marc

Proceedings of the 14th IEEE International Conference on Intelligent Computer Communication and Processing, 2018

Deep Autoencoders for Additional Insight into Protein Dynamics.

[BibT_eX]

[DOI]

Alessandro Pandini

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2017

A Hierarchical Clustering-Based Approach for Software Restructuring at the Package Level.

[BibT_eX]

[DOI]

Proceedings of the 19th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2017

An Unsupervised Learning Based Conceptual Coupling Measure.

[BibT_eX]

[DOI]

Proceedings of the 19th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2017

Identifying Class Integration Test Order Using an Improved Genetic Algorithm-Based Approach.

[BibT_eX]

[DOI]

Proceedings of the Software Technologies - 12th International Joint Conference, 2017

An Improved Approach for Class Test Ordering Optimization using Genetic Algorithms.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Software Technologies, 2017

HACGA: An artifacts-based clustering approach for malware classification.

[BibT_eX]

[DOI]

Oliviu-Bogdan Botocan

Proceedings of the 13th IEEE International Conference on Intelligent Computer Communication and Processing, 2017

2016

Machine Learning Based Approaches for Sex Identification in Bioarchaeology.

[BibT_eX]

[DOI]

Proceedings of the 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2016

A Novel Approach for Software Defect Prediction Using Fuzzy Decision Trees.

[BibT_eX]

[DOI]

Proceedings of the 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2016

A Reinforcement Learning Based Approach to Multiple Sequence Alignment.

[BibT_eX]

[DOI]

Iuliana M. Bocicor

Proceedings of the Soft Computing Applications, 2016

Supervised Learning Techniques for Body Mass Estimation in Bioarchaeology.

[BibT_eX]

[DOI]

Proceedings of the Soft Computing Applications, 2016

2015

Detecting software design defects using relational association rule mining.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2015

A novel approach to adaptive relational association rule mining.

[BibT_eX]

[DOI]

Adela-Maria Sirbu

Appl. Soft Comput., 2015

A Q-learning approach for aligning protein sequences.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Intelligent Computer Communication and Processing, 2015

Instance based learning approaches for predicting the height of human skeletons.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Intelligent Computer Communication and Processing, 2015

2014

Software defect prediction using relational association rule mining.

[BibT_eX]

[DOI]

Inf. Sci., 2014

Software systems performance improvement by intelligent data structures customization.

[BibT_eX]

[DOI]

Inf. Sci., 2014

A support vector machine model for intelligent selection of data representations.

[BibT_eX]

[DOI]

Radu Dan Gaceanu

Appl. Soft Comput., 2014

Dynamic Clustering of Gene Expression Data Using a Fuzzy Approach.

[BibT_eX]

[DOI]

Adela-Maria Sirbu

Proceedings of the 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2014

2013

Intelligent data structures selection using neural networks.

[BibT_eX]

[DOI]

Radu Dan Gaceanu

Knowl. Inf. Syst., 2013

Soft Computing Approaches on the Bandwidth Problem.

[BibT_eX]

[DOI]

Gloria Cerasela Crisan

Camelia-Mihaela Pintea

Informatica, 2013

Text Segmentation Using Roget-Based Weighted Lexical Chains.

[BibT_eX]

[DOI]

Diana Inkpen

Comput. Informatics, 2013

2011

Evaluation Measures for Partitioning based Aspect Mining Techniques.

[BibT_eX]

[DOI]

Grigoreta Sofia Cojocar

Int. J. Comput. Commun. Control, 2011

A Reinforcement Learning Approach for Solving the Fragment Assembly Problem.

[BibT_eX]

[DOI]

Proceedings of the 13th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2011

2010

A Hierarchical Clustering Based Approach in Aspect Mining.

[BibT_eX]

[DOI]

Grigoreta Sofia Cojocar

Comput. Informatics, 2010

2009

Textual Entailment as a Directional Relation.

[BibT_eX]

[DOI]

Gabriela Serban Czibula

Andreea Diana Mihis

Rada Flavia Mihalcea

J. Res. Pract. Inf. Technol., 2009

Dynamic Customization of Data Structures Instances Using an Agent Based Approach.

[BibT_eX]

[DOI]

Adriana Mihaela Guran

Proceedings of the 11th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2009

2008

Hierarchical Adaptive Clustering.

[BibT_eX]

[DOI]

Informatica, 2008

A chain dictionary method for Word Sense Disambiguation and applications

[BibT_eX]

[DOI]

CoRR, 2008

Lexical Chains Segmentation in Summarization.

[BibT_eX]

[DOI]

Andreea Diana Mihis

Gabriela Serban Czibula

Proceedings of the SYNASC 2008, 2008

Clustering Based Automatic Refactorings Identification.

[BibT_eX]

[DOI]

Proceedings of the SYNASC 2008, 2008

Object-Oriented Software Systems Restructuring through Clustering.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence and Soft Computing, 2008

Top-Down Cohesion Segmentation in Summarization.

[BibT_eX]

[DOI]

Andreea Diana Mihis

Proceedings of the Semantics in Text Processing. STEP 2008 Conference Proceedings, 2008

2007

A New Clustering Approach for Systems Design Improvement.

[BibT_eX]

Proceedings of the International Conference on Software Engineering Theory and Practice, 2007

Software Systems Design Improvement Using Hierarchical Clustering.

[BibT_eX]

Proceedings of the 2007 International Conference on Software Engineering Research & Practice, 2007

A Learning Interface Agent for User Behavior Prediction.

[BibT_eX]

[DOI]

Adriana Tarta

Grigoreta Sofia Moldovan

Proceedings of the Human-Computer Interaction. HCI Intelligent Multimodal Interaction Environments, 2007

On some criteria for comparing aspect mining techniques.

[BibT_eX]

[DOI]

Grigoreta Sofia Cojocar

Proceedings of the 3rd workshop on Linking aspect technology and evolution, 2007

2006

A New k-means Based Clustering Algorithm in Aspect Mining.

[BibT_eX]

[DOI]

Grigoreta Sofia Moldovan

Proceedings of the 8th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2006), 2006

An Algorithm for the Discovery of Arbitrary Length Ordinal Association Rules.

[BibT_eX]

Proceedings of the 2006 International Conference on Data Mining, 2006

Adaptive Clustering Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2006

2005

A New Core-Based Method for Hierarchical Incremental Clustering.

[BibT_eX]

[DOI]

Proceedings of the Seventh International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2005), 2005

Incremental Clustering Using a Core-Based Approach.

[BibT_eX]

[DOI]

Proceedings of the Computer and Information Sciences, 2005

A New Programming Interface for Reinforcement Learning Simulations.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Information Processing and Web Mining, 2005

A New Incremental Core-Based Clustering Method.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence Applications and Innovations - IFIP TC12 WG12.5, 2005

2004

UBB system at Senseval-3.

[BibT_eX]

[DOI]

Proceedings of the Third International Workshop on the Evaluation of Systems for the Semantic Analysis of Text, 2004

2003

An Improved Algorithm on Word Sense Disambiguation.

[BibT_eX]

Proceedings of the Intelligent Information Processing and Web Mining, 2003

How to build a QA system in your back-garden: application for Romanian.

[BibT_eX]

[DOI]

Proceedings of the EACL 2003, 2003

Word Sense Disambiguation for Untagged Corpus: Application to Romanian Language.

[BibT_eX]

[DOI]

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2003

A new logic architecture for Intelligent Agents.

[BibT_eX]