Vasile Vlad Moca

According to our database, Vasile Vlad Moca authored at least 15 papers between 2008 and 2023.

Collaborative distances:

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

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

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

Time-Frequency Representations of Brain Oscillations: Which One Is Better?

Harald Bârzan, Ana-Maria Ichim, Vasile Vlad Moca, Raul Cristian Muresan

Frontiers Neuroinformatics, 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

Extraction of Functional Brain Networks from EEG Signals in the Context of Visual Perception.

Dan A. Dumitru, Emanuela B. Ceuta, Vasile V. Moca, Raul Cristian Muresan, Mihaela Dînsoreanu

Proceedings of the IEEE International Conference on Automation, 2022

2021

A Generative Adversarial Approach for the Detection of Typical and Drowned Action Potentials.

Alexandru Dodon, Marius Adrian Calugar, Rodica Potolea, Camelia Lemnaru, Mihaela Dînsoreanu, Vasile V. Moca, Raul Cristian Muresan

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

Weighted Principal Component Analysis based on statistical properties of features for Spike Sorting.

Roxana Ioana Aldea, Mihaela Dînsoreanu, Rodica Potolea, Camelia Lemnaru, Raul Cristian Muresan, Vasile Vlad Moca

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

2020

Enhancing the Classification of EEG Signals using Wasserstein Generative Adversarial Networks.

Vlad Mihai Petrutiu, Liana-Daniela Palcu, Camelia Lemnaru, Mihaela Dînsoreanu, Rodica Potolea, Raul Cristian Muresan, Vasile Vlad Moca

Proceedings of the 16th IEEE International Conference on Intelligent Computer Communication and Processing, 2020

Using Symbolic Analysis of Local Field Potentials for Anesthesia Depth Prediction.

Ioana Onofrei, Andreea Salagean, Narcisa Sîrca, Vasile V. Moca, Adriana Nagy-Dabâcan, Raul Cristian Muresan, Rodica Potolea, Mihaela Dînsoreanu, Camelia Lemnaru

Proceedings of the 16th IEEE International Conference on Intelligent Computer Communication and Processing, 2020

Fractional Superlets.

Harald Bârzan, Vasile V. Moca, Ana-Maria Ichim, Raul Cristian Muresan

Proceedings of the 28th European Signal Processing Conference, 2020

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

2009

EEG under anesthesia - Feature extraction with TESPAR.

Vasile V. Moca, Bertram Scheller, Raul Cristian Muresan, Michael Daunderer, Gordon Pipa

Comput. Methods Programs Biomed., 2009

2008

Real and Modeled Spike Trains: Where Do They Meet?.

Vasile V. Moca, Danko Nikolic, Raul Cristian Muresan

Proceedings of the Artificial Neural Networks, 2008