Gissel Velarde

20 papers A* 1C 1Journal 14Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Machine Learning Approach For Bitcoin Forecasting. CoRR Stefano Sossi-Rojas, Gissel Velarde, Damian Zieba
2025	J	`jnl`	An Open-Source and Reproducible Implementation of LSTM and GRU Networks for Time Series Forecasting. CoRR Gissel Velarde, Pedro Branez, Alejandro Bueno, Rodrigo Heredia, Mateo Lopez-Ledezma
2025	J	`jnl`	An approach to melodic segmentation and classification based on filtering with the Haar-wavelet. CoRR Gissel Velarde, Tillman Weyde, David Meredith
2025	J	`jnl`	Cyber Security Data Science: Machine Learning Methods and their Performance on Imbalanced Datasets. CoRR Mateo Lopez-Ledezma, Gissel Velarde
2025	C	`conf`	Exploring LLM Capabilities in Extracting DCAT-Compatible Metadata for Data Cataloging. DATA Lennart Busch, Daniel Tebernum, Gissel Velarde
2025	J	`jnl`	Exploring LLM Capabilities in Extracting DCAT-Compatible Metadata for Data Cataloging. CoRR Lennart Busch, Daniel Tebernum, Gissel Velarde
2025	J	`jnl`	Performance of Machine Learning Classifiers for Anomaly Detection in Cyber Security Applications. CoRR Markus Haug, Gissel Velarde
2025	J	`jnl`	Tree Boosting Methods for Balanced andImbalanced Classification and their Robustness Over Time in Risk Assessment. CoRR Gissel Velarde, Michael Weichert, Anuj Deshmunkh, Sanjay Deshmane, Anindya Sudhir, Khushboo Sharma, Vaibhav Joshi
2025	J	`jnl`	Wavelet-Filtering of Symbolic Music Representations for Folk Tune Segmentation and Classification. CoRR Gissel Velarde, Tillman Weyde, David Meredith
2024	J	`jnl`	Tree boosting methods for balanced and imbalanced classification and their robustness over time in risk assessment. Intell. Syst. Appl. Gissel Velarde, Michael Weichert, Anuj Deshmunkh, Sanjay Deshmane, Anindya Sudhir, Khushboo Sharma, Vaibhav Joshi
2023	J	`jnl`	Evaluating XGBoost for Balanced and Imbalanced Data: Application to Fraud Detection. CoRR Gissel Velarde, Anindya Sudhir, Sanjay Deshmane, Anuj Deshmunkh, Khushboo Sharma, Vaibhav Joshi
2023	J	`jnl`	Forecasting with Deep Learning. CoRR Gissel Velarde
2022	J	`jnl`	Benchmarking Algorithms for Automatic License Plate Recognition. CoRR Marcel Del Castillo Velarde, Gissel Velarde
2022	J	`jnl`	HEAR 2021: Holistic Evaluation of Audio Representations. CoRR 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
2021	—	`conf`	Artificial Intelligence Trends and Future Scenarios: Relations Between Statistics and Opinions. CogMI Gissel Velarde
2021	—	`conf`	HEAR: Holistic Evaluation of Audio Representations. NeurIPS (Competition and Demos) 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
2020	J	`jnl`	Artificial Intelligence and its impact on the Fourth Industrial Revolution: A Review. CoRR Gissel Velarde
2016	—	`ch.`	A Wavelet-Based Approach to Pattern Discovery in Melodies. Computational Music Analysis Gissel Velarde, David Meredith, Tillman Weyde
2016	—	`conf`	Composer Recognition Based on 2D-Filtered Piano-Rolls. ISMIR Gissel Velarde, Tillman Weyde, Carlos Eduardo Cancino-Chacón, David Meredith, Maarten Grachten
2010	A*	`conf`	Dynamic Pattern Extraction of Parameters in Laser Welding Process. ICDM Gissel Velarde, Christian Binroth