Dynamic Pattern Extraction of Parameters in Laser Welding Process. - Gissel Velarde; Christian Binroth (ICDM, 2010)

A Wavelet-Based Approach to Pattern Discovery in Melodies. - Gissel Velarde; David Meredith 001; Tillman Weyde (Computational Music Analysis, 2016)

Composer Recognition Based on 2D-Filtered Piano-Rolls. - Gissel Velarde; Tillman Weyde; Carlos Eduardo Cancino Chacón; David Meredith 001; Maarten Grachten (ISMIR, 2016)

Artificial Intelligence and its impact on the Fourth Industrial Revolution: A Review. - Gissel Velarde (CoRR, 2020)

Artificial Intelligence Trends and Future Scenarios: Relations Between Statistics and Opinions. - Gissel Velarde (CogMI, 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; et al. (NeurIPS (Competition and Demos), 2021)

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; et al. (CoRR, 2022)

Benchmarking Algorithms for Automatic License Plate Recognition. - Marcel Del Castillo Velarde; Gissel Velarde (CoRR, 2022)

Forecasting with Deep Learning. - Gissel Velarde (CoRR, 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)

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)

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, 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, 2025)

A Machine Learning Approach For Bitcoin Forecasting. - Stefano Sossi-Rojas; Gissel Velarde; Damian Zieba (CoRR, 2025)

Performance of Machine Learning Classifiers for Anomaly Detection in Cyber Security Applications. - Markus Haug; Gissel Velarde (CoRR, 2025)

Wavelet-Filtering of Symbolic Music Representations for Folk Tune Segmentation and Classification. - Gissel Velarde; Tillman Weyde; David Meredith 001 (CoRR, 2025)

An approach to melodic segmentation and classification based on filtering with the Haar-wavelet. - Gissel Velarde; Tillman Weyde; David Meredith 001 (CoRR, 2025)

Cyber Security Data Science: Machine Learning Methods and their Performance on Imbalanced Datasets. - Mateo Lopez-Ledezma; Gissel Velarde (CoRR, 2025)

Exploring LLM Capabilities in Extracting DCAT-Compatible Metadata for Data Cataloging. - Lennart Busch; Daniel Tebernum; Gissel Velarde (CoRR, 2025)