PBIL for Optimizing Hyperparameters of Convolutional Neural Networks and STL Decomposition. - Roberto Andrés Vasco Carofilis; Miguel Angel Gutiérrez-Naranjo; Miguel Cárdenas-Montes (HAIS, 2020)

Improving Named Entity Recognition in Tor Darknet with Local Distance Neighbor Feature. - Mhd Wesam Al-Nabki; Francisco Jáñez-Martino; Roberto Andrés Vasco Carofilis; Eduardo Fidalgo; Javier Velasco-Mata (CoRR, 2020)

Evaluating Performance of an Adult Pornography Classifier for Child Sexual Abuse Detection. - Mhd Wesam Al-Nabki; Eduardo Fidalgo; Roberto Andrés Vasco Carofilis; Francisco Jáñez-Martino; Javier Velasco-Mata (CoRR, 2020)

Classifying Suspicious Content in Tor Darknet. - Eduardo Fidalgo Fernandez; Roberto Andrés Vasco Carofilis; Francisco Jáñez-Martino; Pablo Blanco-Medina (CoRR, 2020)

Perceptual Hashing applied to Tor domains recognition. - Rubel Biswas; Roberto Andrés Vasco Carofilis; Eduardo Fidalgo Fernandez; Francisco Jáñez-Martino; Pablo Blanco-Medina (CoRR, 2020)

Classification of Industrial Control Systems screenshots using Transfer Learning. - Pablo Blanco-Medina; Eduardo Fidalgo Fernandez; Enrique Alegre; Francisco Jáñez-Martino; Roberto Andrés Vasco Carofilis; Víctor Fidalgo Villar (CoRR, 2020)

MeWEHV: Mel and Wave Embeddings for Human Voice Tasks. - Roberto Andrés Vasco Carofilis; Laura Fernández-Robles; Enrique Alegre; Eduardo Fidalgo (IEEE Access, 2023)

Improvement of Accent Classification Models Through Grad-Transfer From Spectrograms and Gradient-Weighted Class Activation Mapping. - Roberto Andrés Vasco Carofilis; Enrique Alegre; Eduardo Fidalgo; Laura Fernández-Robles (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

PBIL for optimizing inception module in convolutional neural networks. - Pedro García-Victoria; Miguel Angel Gutiérrez-Naranjo; Miguel Cárdenas-Montes; Roberto Andrés Vasco Carofilis (Log. J. IGPL, 2023)

Fine-Tuning Self-Supervised Models for Language Identification Using Orthonormal Constraint. - Amrutha Prasad; Andrés Carofilis; Geoffroy Vanderreydt; Driss Khalil; Srikanth R. Madikeri; Petr Motlícek; Christof Schüpbach (ICASSP, 2024)

Towards Multi-Class Smishing Detection: A Novel Feature Vector Approach and the Smishing-4C Dataset. - Alicia Martínez-Mendoza; Francisco Jáñez-Martino; Andrés Carofilis; Laura Fernández-Robles; Enrique Alegre; Eduardo Fidalgo (SEPLN Posters, 2024)

LM-assisted keyword biasing with Aho-Corasick algorithm for Transducer-based ASR. - Iuliia Thorbecke; Juan Zuluaga-Gomez; Esaú Villatoro-Tello; Andrés Carofilis; Shashi Kumar; Petr Motlícek; Karthik Pandia; Aravind Ganapathiraju (CoRR, 2024)

Speech Data Selection for Efficient ASR Fine-Tuning using Domain Classifier and Pseudo-Label Filtering. - Pradeep Rangappa; Juan Zuluaga-Gomez; Srikanth R. Madikeri; Andrés Carofilis; Jeena Prakash; Sergio Burdisso; Shashi Kumar; Esaú Villatoro-Tello; Iuliia Nigmatulina; Petr Motlícek; Karthik Pandia; Aravind Ganapathiraju (ICASSP, 2025)

Unifying Global and Near-Context Biasing in a Single Trie Pass. - Iuliia Thorbecke; Esaú Villatoro-Tello; Juan Pablo Zuluaga-Gomez; Shashi Kumar; Sergio Burdisso; Pradeep Rangappa; Andrés Carofilis; Srikanth R. Madikeri; Petr Motlícek; Karthik Pandia; Kadri Hacioglu; Andreas Stolcke (TSD (1), 2025)

Improving audio embeddings with squeeze-and-excitation: Introducing SaEENet. - Andrés Carofilis; Laura Fernández-Robles; Enrique Alegre; Eduardo Fidalgo (Knowl. Based Syst., 2025)

Deep learning applied to speech processing: Development of novel models and techniques. - Roberto Andrés Carofilis Vasco (Proces. del Leng. Natural, 2025)

Efficient Data Selection for Domain Adaptation of ASR Using Pseudo-Labels and Multi-Stage Filtering. - Pradeep Rangappa; Roberto Andrés Vasco Carofilis; Jeena Prakash; Shashi Kumar; Sergio Burdisso; Srikanth R. Madikeri; Esaú Villatoro-Tello; Bidisha Sharma; Petr Motlícek; Kadri Hacioglu; Shankar Venkatesan; Saurabh Vyas; et al. (CoRR, 2025)

Better Semi-supervised Learning for Multi-domain ASR Through Incremental Retraining and Data Filtering. - Roberto Andrés Vasco Carofilis; Pradeep Rangappa; Srikanth R. Madikeri; Shashi Kumar; Sergio Burdisso; Jeena Prakash; Esaú Villatoro-Tello; Petr Motlícek; Bidisha Sharma; Kadri Hacioglu; Shankar Venkatesan; Saurabh Vyas; et al. (CoRR, 2025)