Oscar Fontenla-Romero

126 papers A 2B 24C 7Misc 2Journal 48Unranked 41

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Development of virtual sensors using multi-plant data for wastewater treatment applications: a case study on nitrogen prediction in effluents. Log. J. IGPL Míriam Timiraos, Manuel Rubiños, Marta-María Álvarez-Crespo, Oscar Fontenla-Romero, José Luís Calvo-Rolle
2026	J	`jnl`	FedHENet: A Frugal Federated Learning Framework for Heterogeneous Environments. CoRR Alejandro Dopico-Castro, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Iván Pérez Digón
2026	J	`jnl`	Intelligent observer for fault detection and data recovery for small wind turbine. Log. J. IGPL Antonio Díaz-Longueira, Marta-María Álvarez-Crespo, Álvaro Michelena, Míriam Timiraos, Oscar Fontenla-Romero, José Luís Calvo-Rolle
2025	—	`conf`	A Hybrid Modelling Approach for Forecasting the Acquired Electrical Power from Photovoltaic Panels. HAIS (2) Anabel Díaz-Labrador, Ángel Delgado, Héctor J. Pérez-Iglesias, Oscar Fontenla-Romero, José Luís Calvo-Rolle
2025	—	`conf`	A New Approach to Detecting Occupational Diseases Using Time Series. IWANN (2) Antonio Díaz-Longueira, Noel Freire-Mahía, Oscar Fontenla-Romero, José Luís Calvo-Rolle
2025	J	`jnl`	A review and future trends of precision livestock over dairy and beef cow cattle with artificial intelligence. Log. J. IGPL Álvaro Michelena, Oscar Fontenla-Romero, José Luís Calvo-Rolle
2025	J	`jnl`	Comparative analysis of unsupervised anomaly detection techniques for heat detection in dairy cattle. Neurocomputing Álvaro Michelena, Antonio Díaz-Longueira, Paulo Novais, Dragan Simic, Oscar Fontenla-Romero, José Luís Calvo-Rolle
2025	J	`jnl`	Efficient Single-Step Framework for Incremental Class Learning in Neural Networks. CoRR Alejandro Dopico-Castro, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
2025	B	`conf`	Efficient and Secure Federated Learning with Ensemble of One-Layer Neural Networks. IJCNN Abel Pampín-Rodríguez, Oscar Fontenla-Romero, Elena Hernández-Pereira, Bertha Guijarro-Berdiñas
2025	J	`jnl`	Novel adaptive approach for anomaly detection in nonlinear and time-varying industrial systems. Log. J. IGPL Álvaro Michelena, Francisco Zayas-Gato, Esteban Jove, José Luís Casteleiro-Roca, Héctor Quintián, Oscar Fontenla-Romero, José Luís Calvo-Rolle
2025	—	`conf`	Predicting the State of Health of Supercapacitors Using a Federated Learning Model with Homomorphic Encryption. ICAART (3) Víctor López, Oscar Fontenla-Romero, Elena Hernández-Pereira, Bertha Guijarro-Berdiñas, Carlos Blanco-Seijo, Samuel Fernández-Paz
2025	J	`jnl`	ProgTutor: A Robotic-Based Framework to Support Teaching and Learning of Programming Fundamentals. IEEE Trans. Learn. Technol. Javier Ortega-Morla, Antonio Leis, Alma Mallo, Laura Morán-Fernández, Sara Guerreiro-Santalla, Alejandro Paz-Lopez, Beatriz Pérez-Sánchez, Noelia Sánchez-Maroño, Alejandro Rodríguez-Arias, Oscar Fontenla-Romero, Francisco Bellas
2025	—	`conf`	Study on the Impact of Low-Cost Sensor Alternatives for Photovoltaic Panel Modelling in Smart Grid Applications. IWANN (2) Anabel Díaz-Labrador, Ángel Delgado, Héctor J. Pérez-Iglesias, Oscar Fontenla-Romero, José Luís Calvo-Rolle
2024	—	`conf`	A Machine Learning - Based System for Determining Water Potability. DCAI (4) Míriam Timiraos, Antonio Díaz-Longueira, Francisco Zayas-Gato, José Luís Casteleiro-Roca, Oscar Fontenla-Romero, José Luís Calvo-Rolle
2024	J	`jnl`	A novel intelligent approach for man-in-the-middle attacks detection over internet of things environments based on message queuing telemetry transport. Expert Syst. J. Knowl. Eng. Álvaro Michelena, José Aveleira-Mata, Esteban Jove, Martín Bayón-Gutiérrez, Paulo Novais, Oscar Fontenla-Romero, José Luís Calvo-Rolle, Héctor Alaiz-Moretón
2024	—	`ed.`	Advances in Artificial Intelligence - 20th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2024, A Coruña, Spain, June 19-21, 2024, Proceedings CAEPIA Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Verónica Bolón-Canedo, Elena Hernández-Pereira, Oscar Fontenla-Romero, David Camacho, Juan Ramón Rabuñal, Manuel Ojeda-Aciego, Jesús Medina, José C. Riquelme, Alicia Troncoso
2024	Misc	`conf`	An effective and efficient green federated learning method for one-layer neural networks. SAC Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Elena Hernández-Pereira, Beatriz Pérez-Sánchez
2024	—	`conf`	Characterization of Cattle Behavior Based on Dimensional Reduction Techniques. SOCO (1) Álvaro Michelena, Antonio Díaz-Longueira, Míriam Timiraos, Héctor Quintián, Oscar Fontenla-Romero, José Luís Calvo-Rolle
2024	—	`conf`	Dimensional Reduction Techniques for the Characterization of Behavioral Patterns in Dairy Cows. DCAI (4) Álvaro Michelena, Antonio Díaz-Longueira, Paula Arcano-Bea, Héctor Quintián, Oscar Fontenla-Romero, José Luís Calvo-Rolle
2024	J	`jnl`	Explained anomaly detection in text reviews: Can subjective scenarios be correctly evaluated? Eng. Appl. Artif. Intell. David Novoa-Paradela, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas
2024	—	`conf`	Identification and Behavior Pattern Recognition of Cows in Intensive and Extensive Farms Using Intelligent Collars and Dimensional Reduction Techniques. HAIS (2) Álvaro Michelena, Francisco Zayas-Gato, José Luís Casteleiro-Roca, Héctor Quintián, Oscar Fontenla-Romero, José Luís Calvo-Rolle
2024	Misc	`conf`	RUL Prediction of Lithium-ion Batteries using a Federated and Homomorphically Encrypted Learning Method. SAC Víctor López, Oscar Fontenla-Romero, Elena Hernández-Pereira, Bertha Guijarro-Berdiñas, Carlos Blanco-Seijo, Samuel Fernández-Paz
2023	C	`conf`	A Federated Learning Architecture for Anomaly Detection on the Edge Using Deep Autoencoders. WETICE David Novoa-Paradela, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Diego Orellana-Cañás
2023	—	`conf`	A Novel Method for Failure Detection Based on Real-Time Systems Identification. CISIS-ICEUTE Álvaro Michelena, Antonio Díaz-Longueira, Míriam Timiraos, Héctor Quintián, Oscar Fontenla-Romero, José Luís Calvo-Rolle
2023	J	`jnl`	A One-Class Classification method based on Expanded Non-Convex Hulls. Inf. Fusion David Novoa-Paradela, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas
2023	J	`jnl`	An effective and efficient green federated learning method for one-layer neural networks. CoRR Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Elena Hernández-Pereira, Beatriz Pérez-Sánchez
2023	—	`conf`	Comparative Study of Forecasting Techniques for Small Wind Turbine Power Generation by Meteorological Parameters. DCAI (3) Antonio Díaz-Longueira, Míriam Timiraos, Álvaro Michelena, Francisco Zayas-Gato, Esteban Jove, Roberto Casado-Vara, Oscar Fontenla-Romero, José Luís Calvo-Rolle
2023	—	`conf`	Comparative Study of Wastewater Treatment Plant Feature Selection for COD Prediction. DCAI (3) Míriam Timiraos, Antonio Díaz-Longueira, Álvaro Michelena, Francisco Zayas-Gato, Héctor Quintián, Héctor Alaiz-Moretón, Oscar Fontenla-Romero, José Luís Calvo-Rolle
2023	—	`conf`	Comparative Study of Wastewater Treatment Plant Feature Selection for COD Prediction. SOCO (1) Míriam Timiraos, Antonio Díaz-Longueira, Álvaro Michelena, Francisco Zayas-Gato, José Luís Casteleiro-Roca, Esteban Jove, Héctor Quintián, Oscar Fontenla-Romero, José Luís Calvo-Rolle
2023	J	`jnl`	Explained anomaly detection in text reviews: Can subjective scenarios be correctly evaluated? CoRR David Novoa-Paradela, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas
2023	J	`jnl`	Fast deep autoencoder for federated learning. Pattern Recognit. David Novoa-Paradela, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas
2023	J	`jnl`	FedHEONN: Federated and homomorphically encrypted learning method for one-layer neural networks. Future Gener. Comput. Syst. Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Elena Hernández-Pereira, Beatriz Pérez-Sánchez
2023	—	`conf`	Hybrid Classification Model Based on Supervised Techniques for Denial of Service Attacks Detection over CoAP Protocol. DCAI (3) Álvaro Michelena, Antonio Díaz-Longueira, Míriam Timiraos, Francisco Javier de Cos Juez, Héctor Alaiz-Moretón, Dragan Simic, Oscar Fontenla-Romero, José Luís Calvo-Rolle
2022	—	`conf`	An Anomaly Detection Approach for Realtime Identification Systems Based on Centroids. CISIS-ICEUTE Álvaro Michelena, Francisco Zayas-Gato, Esteban Jove, José Luís Casteleiro-Roca, Héctor Quintián, Oscar Fontenla-Romero, José Luís Calvo-Rolle
2022	—	`conf`	Comparative study of anomaly detection techniques for monitoring Lithium Iron Phosphate - LiFePO4 batteries. XoveTIC Álvaro Michelena Grandío, Francisco Zayas-Gato, Esteban Jove, Oscar Fontenla-Romero, José Luís Calvo-Rolle
2022	J	`jnl`	Fast Deep Autoencoder for Federated learning. CoRR David Novoa-Paradela, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas
2022	J	`jnl`	Machine learning techniques to predict different levels of hospital care of CoVid-19. Appl. Intell. Elena Hernández-Pereira, Oscar Fontenla-Romero, Verónica Bolón-Canedo, Brais Cancela-Barizo, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
2021	J	`jnl`	DSVD-autoencoder: A scalable distributed privacy-preserving method for one-class classification. Int. J. Intell. Syst. Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Bertha Guijarro-Berdiñas
2021	B	`conf`	Federated Learning approach for SpectralClustering. ESANN Elena Hernández-Pereira, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez
2021	—	`conf`	Learning by Doing in Higher Education: An Experience to Increase Self-learning and Motivation in First Courses. CISIS-ICEUTE Oscar Fontenla-Romero, Francisco Bellas, Noelia Sánchez-Maroño, José Antonio Becerra
2021	—	`conf`	Regularized One-Layer Neural Networks for Distributed and Incremental Environments. IWANN (2) Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez
2021	—	`conf`	The School Path Guide: A Practical Introduction to Representation and Reasoning in AI for High School Students. AIED (2) Sara Guerreiro-Santalla, Francisco Bellas, Oscar Fontenla-Romero
2020	J	`jnl`	One-Class Convex Hull-Based Algorithm for Classification in Distributed Environments. IEEE Trans. Syst. Man Cybern. Syst. Diego Fernández-Francos, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2020	B	`conf`	Online learning for anomaly detection via subdivisible convex hulls. IJCNN David Novoa-Paradela, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas
2018	J	`jnl`	A review of adaptive online learning for artificial neural networks. Artif. Intell. Rev. Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas
2018	J	`jnl`	An incremental non-iterative learning method for one-layer feedforward neural networks. Appl. Soft Comput. Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Bertha Guijarro-Berdiñas
2018	B	`conf`	LANN-DSVD: A privacy-preserving distributed algorithm for machine learning. ESANN Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez, Marcelo Gómez-Casal
2018	J	`jnl`	LANN-SVD: A Non-Iterative SVD-Based Learning Algorithm for One-Layer Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Bertha Guijarro-Berdiñas
2017	B	`conf`	Mutual information for improving the efficiency of the SCH algorithm. ESANN Diego Fernández-Francos, Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Gavin Brown
2016	B	`conf`	A fast learning algorithm for high dimensional problems: an application to microarrays. ESANN Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez, Diego Rego-Fernández, David Martínez-Rego
2016	B	`conf`	Distributed learning algorithm for feedforward neural networks. ESANN Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Bertha Guijarro-Berdiñas, Diego Rego-Fernández
2016	J	`jnl`	Fault detection via recurrence time statistics and one-class classification. Pattern Recognit. Lett. David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos, José C. Príncipe
2016	B	`conf`	One-class classification algorithm based on convex hull. ESANN Diego Fernández-Francos, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2016	—	`conf`	Two-Class with Oversampling Versus One-Class Classification for Microarray Datasets. ICANN (2) Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Noelia Sánchez-Maroño
2015	J	`jnl`	An Agent-Based Model for Simulating Environmental Behavior in an Educational Organization. Neural Process. Lett. Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Oscar Fontenla-Romero, C. Brinquis-Núñez, J. Gareth Polhill, Tony Craig, Adina Dumitru, R. García-Mira
2015	J	`jnl`	Dealing with inter-expert variability in retinopathy of prematurity: A machine learning approach. Comput. Methods Programs Biomed. Verónica Bolón-Canedo, Esra Ataer Cansizoglu, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Michael F. Chiang
2015	—	`conf`	Designing Decision Trees for Representing Sustainable Behaviours in Agents. PAAMS (Special Sessions) Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Oscar Fontenla-Romero, J. Gareth Polhill, Tony Craig
2015	J	`jnl`	Distributed One-Class Support Vector Machine. Int. J. Neural Syst. Enrique F. Castillo, Diego Peteiro-Barral, Bertha Guijarro-Berdiñas, Oscar Fontenla-Romero
2015	C	`conf`	One-Class Classification for Microarray Datasets with Feature Selection. EANN Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Noelia Sánchez-Maroño
2015	B	`conf`	Selecting target concept in one-class classification for handling class imbalance problem. IJCNN Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Noelia Sánchez-Maroño
2015	J	`jnl`	Stream change detection via passive-aggressive classification and Bernoulli CUSUM. Inf. Sci. David Martínez-Rego, Diego Fernández-Francos, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2014	J	`jnl`	Adaptive Inverse Control Using an Online Learning Algorithm for Neural Networks. Informatica José Luís Calvo-Rolle, Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Bertha Guijarro-Berdiñas
2014	—	`conf`	Adaptive Neural Topology Based on Vapnik-Chervonenkis Dimension. ICAART (Revised Selected Papers) Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas
2014	A	`conf`	Influence of internal values and social networks for achieving sustainable organizations. ECAI Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Oscar Fontenla-Romero, C. Brinquis-Núñez, J. Gareth Polhill, Tony Craig
2014	B	`conf`	Modeling consumption of contents and advertising in online newspapers. ESANN Iago Porto-Díaz, David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2014	—	`conf`	Self-adaptive Topology Neural Network for Online Incremental Learning. ICAART (1) Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas
2013	—	`conf`	A Decision-Making Model for Environmental Behavior in Agent-Based Modeling. IWANN (1) Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Miguel Rodríguez-García, Gary Polhill, Tony Craig
2013	J	`jnl`	A Minimum Volume Covering Approach with a Set of Ellipsoids. IEEE Trans. Pattern Anal. Mach. Intell. David Martínez-Rego, Enrique F. Castillo, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2013	J	`jnl`	A comparative study of the scalability of a sensitivity-based learning algorithm for artificial neural networks. Expert Syst. Appl. Diego Peteiro-Barral, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez, Oscar Fontenla-Romero
2013	J	`jnl`	An online learning algorithm for adaptable topologies of neural networks. Expert Syst. Appl. Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, David Martínez-Rego
2013	J	`jnl`	Automatic bearing fault diagnosis based on one-class ν-SVM. Comput. Ind. Eng. Diego Fernández-Francos, David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2013	J	`jnl`	Estimating the parameters of a fatigue model using Benders' decomposition. Ann. Oper. Res. Enrique F. Castillo, Roberto Mínguez, Antonio J. Conejo, Beatriz Pérez-Sánchez, Oscar Fontenla-Romero
2013	—	`conf`	Exact Incremental Learning for a Single Non-linear Neuron Based on Taylor Expansion and Greville Formula. CAEPIA David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2012	—	`conf`	An Agent-Based Prototype for Enhancing Sustainability Behavior at an Academic Environment. PAAMS (Special Sessions) Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Verónica Bolón-Canedo, Nicholas Mark Gotts, J. Gareth Polhill, Tony Craig, R. García-Mira
2012	J	`jnl`	Information Theoretic Learning and local modeling for binary and multiclass classification. Prog. Artif. Intell. Iago Porto-Díaz, David Martínez-Rego, Amparo Alonso-Betanzos, Oscar Fontenla-Romero
2012	J	`jnl`	Nonlinear single layer neural network training algorithm for incremental, nonstationary and distributed learning scenarios. Pattern Recognit. David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2012	B	`conf`	One-class classifier based on extreme value statistics. ESANN David Martínez-Rego, Evan Kriminger, José C. Príncipe, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2011	B	`conf`	A distributed learning algorithm based on two-layer artificial neural networks and genetic algorithms. ESANN Diego Peteiro-Barral, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez, Oscar Fontenla-Romero
2011	J	`jnl`	A robust incremental learning method for non-stationary environments. Neurocomputing David Martínez-Rego, Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2011	J	`jnl`	A study of performance on microarray data sets for a classifier based on information theoretic learning. Neural Networks Iago Porto-Díaz, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Oscar Fontenla-Romero
2011	J	`jnl`	Efficiency of local models ensembles for time series prediction. Expert Syst. Appl. David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2011	B	`conf`	Power wind mill fault detection via one-class ν-SVM vibration signal analysis. IJCNN David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2010	—	`conf`	A Log Analyzer Agent for Intrusion Detection in a Multi-Agent System. KES (1) Iago Porto-Díaz, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2010	—	`conf`	A Privacy-Preserving Distributed and Incremental Learning Method for Intrusion Detection. ICANN (1) Bertha Guijarro-Berdiñas, Santiago Fernández-Lorenzo, Noelia Sánchez-Maroño, Oscar Fontenla-Romero
2010	J	`jnl`	A new convex objective function for the supervised learning of single-layer neural networks. Pattern Recognit. Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez, Amparo Alonso-Betanzos
2010	B	`conf`	An incremental learning method for neural networks in adaptive environments. IJCNN Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas
2010	—	`conf`	Fault Prognosis of Mechanical Components Using On-Line Learning Neural Networks. ICANN (1) David Martínez-Rego, Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Amparo Alonso-Betanzos
2010	—	`conf`	Local Modeling Classifier for Microarray Gene-Expression Data. ICANN (3) Iago Porto-Díaz, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Oscar Fontenla-Romero
2009	—	`conf`	A Supervised Learning Method for Neural Networks Based on Sensitivity Analysis with Automatic Regularization. IWANN (1) Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas
2009	B	`conf`	A new supervised local modelling classifier based on information theory. IJCNN David Martínez-Rego, Oscar Fontenla-Romero, Iago Porto-Díaz, Amparo Alonso-Betanzos
2009	—	`conf`	An Incremental Learning Method for Neural Networks Based on Sensitivity Analysis. CAEPIA Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas
2009	—	`conf`	Combining Feature Selection and Local Modelling in the KDD Cup 99 Dataset. ICANN (1) Iago Porto-Díaz, David Martínez-Rego, Amparo Alonso-Betanzos, Oscar Fontenla-Romero
2009	J	`jnl`	Conversion methods for symbolic features: A comparison applied to an intrusion detection problem. Expert Syst. Appl. Elena Hernández-Pereira, Juan A. Suárez-Romero, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2009	—	`ch.`	Functional Networks. Encyclopedia of Artificial Intelligence Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez
2008	B	`conf`	A Method for Time Series Prediction using a Combination of Linear Models. ESANN David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2008	B	`conf`	A Regularized Learning Method for Neural Networks Based on Sensitivity Analysis. ESANN Bertha Guijarro-Berdiñas, Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Amparo Alonso-Betanzos
2007	C	`conf`	A Comparative Study of Local Classifiers Based on Clustering Techniques and One-Layer Neural Networks. IDEAL Yuridia Gago-Pallares, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2007	—	`conf`	A Fast Semi-linear Backpropagation Learning Algorithm. ICANN (1) Bertha Guijarro-Berdiñas, Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Paula Fraguela
2007	C	`conf`	A Linear Learning Method for Multilayer Perceptrons Using Least-Squares. IDEAL Bertha Guijarro-Berdiñas, Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Paula Fraguela
2007	B	`conf`	A Novel Local Classification Method using Growing Neural Gas and Proximal Support Vector Machines. IJCNN Ruben M. Rodriguez-Pena, Beatriz Pérez-Sánchez, Oscar Fontenla-Romero
2006	C	`conf`	A Fast Classification Algorithm Based on Local Models. IDEAL Sabela Platero-Santos, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2006	J	`jnl`	A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis. J. Mach. Learn. Res. Enrique F. Castillo, Bertha Guijarro-Berdiñas, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2005	J	`jnl`	A new method for sleep apnea classification using wavelets and feedforward neural networks. Artif. Intell. Medicine Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Vicente Moret-Bonillo
2005	J	`jnl`	Linear-least-squares initialization of multilayer perceptrons through backpropagation of the desired response. IEEE Trans. Neural Networks Deniz Erdogmus, Oscar Fontenla-Romero, José C. Príncipe, Amparo Alonso-Betanzos, Enrique F. Castillo
2005	—	`conf`	Modelling Engineering Problems Using Dimensional Analysis for Feature Extraction. ICANN (2) Noelia Sánchez-Maroño, Oscar Fontenla-Romero, Enrique F. Castillo, Amparo Alonso-Betanzos
2004	J	`jnl`	A measure of fault tolerance for functional networks. Neurocomputing Oscar Fontenla-Romero, Enrique F. Castillo, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas
2004	B	`conf`	Shear strength prediction using dimensional analysis and functional networks. ESANN Amparo Alonso-Betanzos, Enrique F. Castillo, Oscar Fontenla-Romero, Noelia Sánchez-Maroño
2003	B	`conf`	A Bayesian Neural Network Approach for Sleep Apnea Classification. AIME Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Ana del Rocío Fraga-Iglesias, Vicente Moret-Bonillo
2003	—	`conf`	A New Learning Method for Single Layer Neural Networks Based on a Regularized Cost Function. IWANN (1) Juan A. Suárez-Romero, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
2003	B	`conf`	Accelerating the convergence speed of neural networks learning methods using least squares. ESANN Oscar Fontenla-Romero, Deniz Erdogmus, José Carlos Príncipe, Amparo Alonso-Betanzos, Enrique F. Castillo
2003	B	`conf`	Accurate initialization of neural network weights by backpropagation of the desired response. IJCNN Deniz Erdogmus, Oscar Fontenla-Romero, José C. Príncipe, Amparo Alonso-Betanzos, Enrique F. Castillo, Robert Jenssen
2003	J	`jnl`	An intelligent system for forest fire risk prediction and fire fighting management in Galicia. Expert Syst. Appl. Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Elena Hernández-Pereira, Maria Inmaculada Paz-Andrade, Eulogio Jimenez, Jose Luis Legido, Tarsy Carballas
2003	C	`conf`	Linear Least-Squares Based Methods for Neural Networks Learning. ICANN Oscar Fontenla-Romero, Deniz Erdogmus, José Carlos Príncipe, Amparo Alonso-Betanzos, Enrique F. Castillo
2003	B	`conf`	Recursive Least Squares for an Entropy Regularized MSE Cost Function. ESANN Deniz Erdogmus, Yadunandana N. Rao, José Carlos Príncipe, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2003	B	`conf`	Self-organizing maps and functional networks for local dynamic modeling. ESANN Noelia Sánchez-Maroño, Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas
2002	J	`jnl`	A Global Optimum Approach for One-Layer Neural Networks. Neural Comput. Enrique F. Castillo, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
2002	A	`conf`	A Neural Network Approach for Forestal Fire Risk Estimation. ECAI Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Elena Hernández-Pereira, Juan Canda, Eulogio Jimenez, Jose Luis Legido, Susana Muñiz, Cristina Paz-Andrade, Maria Inmaculada Paz-Andrade
2002	—	`conf`	An efficient, robust, and fast converging principal components extraction algorithm: SIPEX-G. EUSIPCO Deniz Erdogmus, Yadunandana N. Rao, José C. Príncipe, Oscar Fontenla-Romero, Luis Vielva
2002	J	`jnl`	Intelligent analysis and pattern recognition in cardiotocographic signals using a tightly coupled hybrid system. Artif. Intell. Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Oscar Fontenla-Romero
2002	C	`conf`	Local Modeling Using Self-Organizing Maps and Single Layer Neural Networks. ICANN Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Enrique F. Castillo, José Carlos Príncipe, Bertha Guijarro-Berdiñas
2002	—	`conf`	Symbolic, Neural and Neuro-fuzzy Approaches to Pattern Recognition in Cardiotocograms. Advances in Computational Intelligence and Learning Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
2001	—	`conf`	A Functional-Neural Network for Post-Nonlinear Independent Component Analysis. IWANN (1) Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
2001	—	`conf`	A Measure of Noise Immunity for Functional Networks. IWANN (1) Enrique F. Castillo, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
2001	J	`jnl`	Adaptive pattern recognition in the analysis of cardiotocographic records. IEEE Trans. Neural Networks Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas
2001	—	`conf`	An Auto-learning System for the Classification of Fetal Heart Rate Decelerative Patterns. IWANN (2) Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Olga Garcia-Dans, Noelia Sánchez-Maroño
1998	—	`conf`	Detection of Fetal Heart Rate Accelerations and Decelerations Using Artificial Neural Networks. NC Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Olga Fernández-Chaves, José Carlos Príncipe

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.