Eugen-Richard Ardelean

According to our database, Eugen-Richard Ardelean authored at least 17 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Colonic Polyp Detection with Object Detection Models.

Raluca Portase, Eugen-Richard Ardelean

Comput., 2026

2025

A Study of Deep Clustering in Spike Sorting.

Eugen-Richard Ardelean, Raluca-Laura Portase

Neuroinformatics, December, 2025

A Study of Non-Linear Manifold Feature Extraction in Spike Sorting.

Eugen-Richard Ardelean, Raluca Portase

Neuroinformatics, December, 2025

A path-based distance computation for non-convexity with applications in clustering.

Eugen-Richard Ardelean, Raluca-Laura Portase, Rodica Potolea, Mihaela Dînsoreanu

Knowl. Inf. Syst., February, 2025

A Study of Deep Learning Models for Audio Classification of Infant Crying in a Baby Monitoring System.

Denisa Maria Herlea, Bogdan Iancu, Eugen-Richard Ardelean

Informatics, 2025

Decoding brain states from EEG using Transformer architectures.

Sabina Volcov, Eugen-Richard Ardelean, Vasile Vlad Moca, Raul Cristian Muresan, Mihaela Dînsoreanu

Proceedings of the 21st IEEE International Conference on Intelligent Computer Communication and Processing, 2025

A comparative analysis of spectral transforms as feature extraction methods for spike sorting.

Razvan-Dan Terec, Eugen-Richard Ardelean, Raul Cristian Muresan, Vasile Vlad Moca, Mihaela Dînsoreanu

Proceedings of the 21st IEEE International Conference on Intelligent Computer Communication and Processing, 2025

An approach to using Self-Supervised Learning for Spike Sorting.

Andrei-George Iclodean, Eugen-Richard Ardelean, Vasile Vlad Moca, Raul Cristian Muresan, Mihaela Dînsoreanu

Proceedings of the 21st IEEE International Conference on Intelligent Computer Communication and Processing, 2025

2024

Drop Ripple Counter: An Innovative Clustering Approach.

Eugen-Richard Ardelean, Mihaela Dînsoreanu

Proceedings of the 20th IEEE International Conference on Intelligent Computer Communication and Processing, 2024

2023

Improved space breakdown method - A robust clustering technique for spike sorting.

Eugen-Richard Ardelean, Ana-Maria Ichim, Mihaela Dînsoreanu, Raul Cristian Muresan

Frontiers Comput. Neurosci., February, 2023

Symbolic Analysis Based Pipeline for EEG Data.

Oana Miruna Moisa, Ileana Pop, Eugen-Richard Ardelean, Vasile Vlad Moca, Raul Cristian Muresan, Mihaela Dînsoreanu

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

Spike sorting using Superlets: Identifying feature importance through perturbation.

Eugen-Richard Ardelean, Razvan-Dan Terec, Codruta-Maria Maries, Vasile Vlad Moca, Raul Cristian Muresan, Mihaela Dînsoreanu

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

Exploiting the Self-Organizing Map for Spike Sorting.

Eugen-Richard Ardelean, George Florin Grosu, Romulus Terebes, Mihaela Dînsoreanu

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

Burst detection in neuronal activity.

Adriana-Ioana Ardelean, Eugen-Richard Ardelean, Vasile Vlad Moca, Raul Cristian Muresan, Mihaela Dînsoreanu

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

2022

Local Field Potential Microstate Analysis.

Andreea Salagean, Andreea-Madalina Pasc, Eugen-Richard Ardelean, Raul Cristian Muresan, Vasile V. Moca, Mihaela Dînsoreanu, Rodica Potolea, Camelia Lemnaru

Proceedings of the 18th IEEE International Conference on Intelligent Computer Communication and Processing, 2022

Spike sorting using Superlets: Evaluation of a novel feature space for the discrimination of neuronal spikes.

Denisa Bianca Muresan, Raluca-Dana Ciure, Eugen-Richard Ardelean, Vasile Vlad Moca, Raul Cristian Muresan, Mihaela Dînsoreanu

Proceedings of the 18th IEEE International Conference on Intelligent Computer Communication and Processing, 2022

2019

Space Breakdown Method A new approach for density-based clustering.

Eugen-Richard Ardelean, Alexander Stanciu, Mihaela Dînsoreanu, Rodica Potolea, Camelia Lemnaru, Vasile Vlad Moca

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