Gissel Velarde

According to our database, Gissel Velarde authored at least 19 papers between 2010 and 2025.

Collaborative distances:

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

2025

Exploring LLM Capabilities in Extracting DCAT-Compatible Metadata for Data Cataloging.

Lennart Busch, Daniel Tebernum, Gissel Velarde

CoRR, July, 2025

Cyber Security Data Science: Machine Learning Methods and their Performance on Imbalanced Datasets.

Mateo Lopez-Ledezma, Gissel Velarde

CoRR, May, 2025

An approach to melodic segmentation and classification based on filtering with the Haar-wavelet.

Gissel Velarde, Tillman Weyde, David Meredith

CoRR, April, 2025

Wavelet-Filtering of Symbolic Music Representations for Folk Tune Segmentation and Classification.

Gissel Velarde, Tillman Weyde, David Meredith

CoRR, April, 2025

Performance of Machine Learning Classifiers for Anomaly Detection in Cyber Security Applications.

Markus Haug, Gissel Velarde

CoRR, April, 2025

A Machine Learning Approach For Bitcoin Forecasting.

Stefano Sossi-Rojas, Gissel Velarde, Damian Zieba

CoRR, April, 2025

An Open-Source and Reproducible Implementation of LSTM and GRU Networks for Time Series Forecasting.

Gissel Velarde, Pedro Branez, Alejandro Bueno, Rodrigo Heredia, Mateo Lopez-Ledezma

CoRR, April, 2025

Tree Boosting Methods for Balanced andImbalanced Classification and their Robustness Over Time in Risk Assessment.

Gissel Velarde, Michael Weichert, Anuj Deshmunkh, Sanjay Deshmane, Anindya Sudhir, Khushboo Sharma, Vaibhav Joshi

CoRR, April, 2025

2024

Tree boosting methods for balanced and imbalanced classification and their robustness over time in risk assessment.

Gissel Velarde, Michael Weichert, Anuj Deshmunkh, Sanjay Deshmane, Anindya Sudhir, Khushboo Sharma, Vaibhav Joshi

Intell. Syst. Appl., 2024

2023

Evaluating XGBoost for Balanced and Imbalanced Data: Application to Fraud Detection.

Gissel Velarde, Anindya Sudhir, Sanjay Deshmane, Anuj Deshmunkh, Khushboo Sharma, Vaibhav Joshi

CoRR, 2023

Forecasting with Deep Learning.

Gissel Velarde

CoRR, 2023

2022

Benchmarking Algorithms for Automatic License Plate Recognition.

Marcel Del Castillo Velarde, Gissel Velarde

CoRR, 2022

HEAR 2021: Holistic Evaluation of Audio Representations.

Joseph Turian, Jordie Shier, Humair Raj Khan, Bhiksha Raj, Björn W. Schuller, Christian J. Steinmetz, Colin Malloy, George Tzanetakis, Gissel Velarde, Kirk McNally, Max Henry, Nicolas Pinto, Camille Noufi, Christian Clough, Dorien Herremans, Eduardo Fonseca, Jesse H. Engel, Justin Salamon, Philippe Esling, Pranay Manocha, Shinji Watanabe, Zeyu Jin, Yonatan Bisk

CoRR, 2022

2021

HEAR: Holistic Evaluation of Audio Representations.

Joseph Turian, Jordie Shier, Humair Raj Khan, Bhiksha Raj, Björn W. Schuller, Christian J. Steinmetz, Colin Malloy, George Tzanetakis, Gissel Velarde, Kirk McNally, Max Henry, Nicolas Pinto, Camille Noufi, Christian Clough, Dorien Herremans, Eduardo Fonseca, Jesse H. Engel, Justin Salamon, Philippe Esling, Pranay Manocha, Shinji Watanabe, Zeyu Jin, Yonatan Bisk

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

Artificial Intelligence Trends and Future Scenarios: Relations Between Statistics and Opinions.

Gissel Velarde

Proceedings of the Third IEEE International Conference on Cognitive Machine Intelligence, 2021

2020

Artificial Intelligence and its impact on the Fourth Industrial Revolution: A Review.

Gissel Velarde

CoRR, 2020

2016

Composer Recognition Based on 2D-Filtered Piano-Rolls.

Gissel Velarde, Tillman Weyde, Carlos Eduardo Cancino Chacón, David Meredith, Maarten Grachten

Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016

A Wavelet-Based Approach to Pattern Discovery in Melodies.

Gissel Velarde, David Meredith, Tillman Weyde

Proceedings of the Computational Music Analysis, 2016

2010

Dynamic Pattern Extraction of Parameters in Laser Welding Process.

Gissel Velarde, Christian Binroth

Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2010