Gabriela Serban Czibula
Orcid: 0000-0001-7852-681XAffiliations:
- University of Cluj-Napoca, Romania
According to our database1,
Gabriela Serban Czibula
authored at least 94 papers
between 2003 and 2023.
Collaborative distances:
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Bibliography
2023
<i>MM-StackEns</i>: A new deep multimodal stacked generalization approach for protein-protein interaction prediction.
Comput. Biol. Medicine, February, 2023
ConvSNow: A tailored Conv-LSTM architecture for weather nowcasting based on satellite imagery.
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.
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.
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.
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.
Proceedings of the 19th IEEE International Conference on Intelligent Computer Communication and Processing, 2023
2022
NeXtNow: A Convolutional Deep Learning Model for the Prediction of Weather Radar Data for Nowcasting Purposes.
Remote. Sens., 2022
<i>IntelliSwAS</i>: Optimizing deep neural network architectures using a particle swarm-based approach.
Expert Syst. Appl., 2022
An in-Depth Analysis of the Software Features' Impact on the Performance of Deep Learning-Based Software Defect Predictors.
IEEE Access, 2022
IntelliDaM: A Machine Learning-Based Framework for Enhancing the Performance of Decision-Making Processes. A Case Study for Educational Data Mining.
IEEE Access, 2022
MBMT-Net: A Multi-Task Learning Based Convolutional Neural Network Architecture for Dense Prediction Tasks.
IEEE Access, 2022
SoftId: An autoencoder-based one-class classification model for software authorship identification.
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.
Sci. Program., 2021
AnomalP: An approach for detecting anomalous protein conformations using deep autoencoders.
Expert Syst. Appl., 2021
AutoPPI: An Ensemble of Deep Autoencoders for Protein-Protein Interaction Prediction.
Entropy, 2021
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.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021
<i>AutoAt</i>: A deep autoencoder-based classification model for supervised authorship attribution.
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.
Proceedings of the Computer Vision Systems - 13th International Conference, 2021
A machine learning approach for data protection in virtual reality therapy applications.
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.
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.
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.
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.
Proceedings of the 14th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2020
Proceedings of the 14th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2020
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.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES-2020, 2020
2019
J. Syst. Softw., 2019
Expert Syst. Appl., 2019
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.
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.
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.
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.
Proceedings of the Knowledge Science, Engineering and Management, 2019
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 23rd International Conference KES-2019, 2019
<i>DynFloR</i>: A Flow Approach for Data Delivery Optimization in Multi-Robot Network Patrolling.
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.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 23rd International Conference KES-2019, 2019
<i>S PRAR: </i> A novel relational association rule mining classification model applied for academic performance prediction.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 23rd International Conference KES-2019, 2019
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.
Inf. Sci., 2018
An effective approach for determining the class integration test order using reinforcement learning.
Appl. Soft Comput., 2018
Analyzing the Impact of Protein Representation on Mining Structural Patterns from Protein Data.
Proceedings of the 12th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2018
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 22nd International Conference KES-2018, 2018
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 22nd International Conference KES-2018, 2018
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.
Proceedings of the 14th IEEE International Conference on Intelligent Computer Communication and Processing, 2018
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.
Proceedings of the 19th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2017
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.
Proceedings of the Software Technologies - 12th International Joint Conference, 2017
Proceedings of the 12th International Conference on Software Technologies, 2017
Proceedings of the 13th IEEE International Conference on Intelligent Computer Communication and Processing, 2017
2016
Proceedings of the 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2016
Proceedings of the 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2016
Proceedings of the Soft Computing Applications, 2016
Proceedings of the Soft Computing Applications, 2016
2015
Knowl. Inf. Syst., 2015
Appl. Soft Comput., 2015
Proceedings of the IEEE International Conference on Intelligent Computer Communication and Processing, 2015
Proceedings of the IEEE International Conference on Intelligent Computer Communication and Processing, 2015
2014
Software systems performance improvement by intelligent data structures customization.
Inf. Sci., 2014
Appl. Soft Comput., 2014
Proceedings of the 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2014
2013
Comput. Informatics, 2013
2011
Int. J. Comput. Commun. Control, 2011
Proceedings of the 13th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2011
2010
2009
Proceedings of the 11th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2009
2008
Proceedings of the SYNASC 2008, 2008
Proceedings of the Artificial Intelligence and Soft Computing, 2008
Proceedings of the Semantics in Text Processing. STEP 2008 Conference Proceedings, 2008
2007
A New Clustering Approach for Systems Design Improvement.
Proceedings of the International Conference on Software Engineering Theory and Practice, 2007
Software Systems Design Improvement Using Hierarchical Clustering.
Proceedings of the 2007 International Conference on Software Engineering Research & Practice, 2007
Proceedings of the Human-Computer Interaction. HCI Intelligent Multimodal Interaction Environments, 2007
Proceedings of the 3rd workshop on Linking aspect technology and evolution, 2007
2006
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.
Proceedings of the 2006 International Conference on Data Mining, 2006
Proceedings of the Advances in Artificial Intelligence, 2006
2005
Proceedings of the Seventh International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2005), 2005
Proceedings of the Computer and Information Sciences, 2005
Proceedings of the Intelligent Information Processing and Web Mining, 2005
Proceedings of the Artificial Intelligence Applications and Innovations - IFIP TC12 WG12.5, 2005
2004
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.
Proceedings of the Intelligent Information Processing and Web Mining, 2003
Proceedings of the EACL 2003, 2003
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2003
A new logic architecture for Intelligent Agents.
Proceedings of the 2003 Joint Conference on Declarative Programming, 2003