Ricardo Ñanculef

61 papers A 1B 6C 16Misc 1Journal 21Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Backbones in Pseudo-Boolean Optimization: Extraction and Analysis. ICAART (5) Matías Francia-Carramiñana, Bryan Alvarado-Ulloa, Dorit S. Hochbaum, Bistra Dilkina, Ricardo Ñanculef, Roberto Asín-Achá
2026	—	`conf`	Multilingual Minimal Contrastive Editing. ICAART (5) Domingo Benoit, Ricardo Ñanculef, Joaquín De Ferrari
2025	—	`conf`	Assessing GPT as a Weak Oracle for Annotating Radiological Studies. AIME (1) Joaquín De Ferrari, Ricardo Ñanculef, Domingo Benoit, Mauricio Araya, Mauricio Solar
2025	J	`jnl`	Intramodal consistency in triplet-based cross-modal learning for image retrieval. Mach. Learn. Mario Mallea, Ricardo Ñanculef, Mauricio Araya
2024	J	`jnl`	A Data Ingestion Procedure towards a Medical Images Repository. Sensors Mauricio Solar, Victor Castañeda, Ricardo Ñanculef, Lioubov Dombrovskaia, Mauricio Araya
2024	C	`conf`	ALPACS: Interoperable Repository of Medical Images. CLEI Mauricio Solar, Mauricio Araya, Ricardo Ñanculef, Lioubov Dombrovskaia, Victor Castañeda, Ian Roberts
2024	B	`conf`	Adversarial Pairwise Multimodal Recommendation. IJCNN Mario Mallea, Ricardo Ñanculef, Denis Parra
2024	J	`jnl`	InverseTime: A Self-Supervised Technique for Semi-Supervised Classification of Time Series. IEEE Access Manuel Alejandro Goyo, Ricardo Ñanculef, Carlos Valle
2024	C	`conf`	Prediction of Peak-to-Peak Pressure Gradient in Patients with Aortic Coarctation Using Physics-Informed Neural Networks. CLEI Sebastián Jara, Rodrigo Salas, Ricardo Ñanculef, Israel Valverde, Sergio Uribe, Julio Sotelo
2024	—	`conf`	Recovering Latent Hierarchical Relationships in Image Datasets Through Hyperbolic Embeddings. CIARP (1) Ian Roberts, Mauricio Araya, Ricardo Ñanculef, Mario Mallea
2024	—	`conf`	Text-Based Feature-Free Automatic Algorithm Selection. KDIR Amanda Salinas-Pinto, Bryan Alvarado-Ulloa, Dorit S. Hochbaum, Matías Francia-Carramiñana, Ricardo Ñanculef, Roberto Javier Asín Achá
2023	J	`jnl`	An Attention-Based Architecture for Hierarchical Classification With CNNs. IEEE Access Iván Pizarro, Ricardo Ñanculef, Carlos Valle
2023	C	`conf`	Attention Mechanisms in Process Mining: A Systematic Literature Review. CLEI Gonzalo Rivera Lazo, Hernán Astudillo, Ricardo Ñanculef
2023	B	`conf`	Enhancing Intra-modal Similarity in a Cross-Modal Triplet Loss. DS Mario Mallea, Ricardo Ñanculef, Mauricio Araya
2022	J	`jnl`	A Method to Predict Semantic Relations on Artificial Intelligence Papers. CoRR Francisco Andrades, Ricardo Ñanculef
2022	—	`conf`	Cluster Distillation: Semi-supervised Time Series Classification through Clustering-based Self-supervision. SCCC Manuel Alejandro Goyo, Ricardo Ñanculef
2022	B	`conf`	Multi-attribute Transformers for Sequence Prediction in Business Process Management. DS Gonzalo Rivera Lazo, Ricardo Ñanculef
2021	—	`conf`	A Method to Predict Semantic Relations on Artificial Intelligence Papers. IEEE BigData Francisco Andrades, Ricardo Ñanculef
2021	C	`conf`	Self-supervised Bernoulli Autoencoders for Semi-supervised Hashing. CIARP Ricardo Ñanculef, Francisco Alejandro Mena, Antonio Macaluso, Stefano Lodi, Claudio Sartori
2020	J	`jnl`	Automating Configuration of Convolutional Neural Network Hyperparameters Using Genetic Algorithm. IEEE Access Franklin Johnson, Alvaro Valderrama, Carlos Valle, Broderick Crawford, Ricardo Soto, Ricardo Ñanculef
2020	J	`jnl`	Self-Supervised Bernoulli Autoencoders for Semi-Supervised Hashing. CoRR Ricardo Ñanculef, Francisco Alejandro Mena, Antonio Macaluso, Stefano Lodi, Claudio Sartori
2019	C	`conf`	A Binary Variational Autoencoder for Hashing. CIARP Francisco Alejandro Mena, Ricardo Ñanculef
2019	—	`conf`	BlackSheep: Dynamic Effort Estimation in Agile Software Development using Machine Learning. CIbSE Rafik Mas'Ad, Ricardo Ñanculef, Hernán Astudillo
2019	J	`jnl`	Evaluating Bregman Divergences for Probability Learning from Crowd. CoRR Francisco Alejandro Mena, Ricardo Ñanculef
2019	J	`jnl`	LocalBoost: A Parallelizable Approach to Boosting Classifiers. Neural Process. Lett. Carlos Valle, Ricardo Ñanculef, Héctor Allende, Claudio Moraga
2019	C	`conf`	Revisiting Machine Learning from Crowds a Mixture Model for Grouping Annotations. CIARP Francisco Alejandro Mena, Ricardo Ñanculef
2018	C	`conf`	Boosting Collaborative Filters for Drug-Target Interaction Prediction. CIARP Cristian M. Orellana, Ricardo Ñanculef, Carlos Valle
2018	—	`conf`	Calcified Plaque Detection in IVUS Sequences: Preliminary Results Using Convolutional Nets. IWAIPR Simone Balocco, Mauricio González, Ricardo Ñanculef, Petia Radeva, Gabriel Thomas
2016	C	`conf`	Boosting SpLSA for Text Classification. CIARP Julio Hurtado, Marcelo Mendoza, Ricardo Ñanculef
2016	J	`jnl`	Efficient Classification of Multi-Labelled Text Streams by Clashing. CoRR Ricardo Ñanculef, Ilias N. Flaounas, Nello Cristianini
2016	C	`conf`	Efficient Sparse Approximation of Support Vector Machines Solving a Kernel Lasso. CIARP Marcelo Aliquintuy, Emanuele Frandi, Ricardo Ñanculef, Johan A. K. Suykens
2016	J	`jnl`	Fast and scalable Lasso via stochastic Frank-Wolfe methods with a convergence guarantee. Mach. Learn. Emanuele Frandi, Ricardo Ñanculef, Stefano Lodi, Claudio Sartori, Johan A. K. Suykens
2015	J	`jnl`	A PARTAN-Accelerated Frank-Wolfe Algorithm for Large-Scale SVM Classification. CoRR Emanuele Frandi, Ricardo Ñanculef, Johan A. K. Suykens
2015	B	`conf`	A PARTAN-accelerated Frank-Wolfe algorithm for large-scale SVM classification. IJCNN Emanuele Frandi, Ricardo Ñanculef, Johan A. K. Suykens
2015	J	`jnl`	Fast and Scalable Lasso via Stochastic Frank-Wolfe Methods with a Convergence Guarantee. CoRR Emanuele Frandi, Ricardo Ñanculef, Stefano Lodi, Claudio Sartori, Johan A. K. Suykens
2014	J	`jnl`	A novel Frank-Wolfe algorithm. Analysis and applications to large-scale SVM training. Inf. Sci. Ricardo Ñanculef, Emanuele Frandi, Claudio Sartori, Héctor Allende
2014	J	`jnl`	Complexity Issues and Randomization Strategies in Frank-Wolfe Algorithms for Machine Learning. CoRR Emanuele Frandi, Ricardo Ñanculef, Johan A. K. Suykens
2014	J	`jnl`	Efficient classification of multi-labeled text streams by clashing. Expert Syst. Appl. Ricardo Ñanculef, Ilias N. Flaounas, Nello Cristianini
2013	J	`jnl`	Novel Frank-Wolfe Methods for SVM Learning CoRR Héctor Allende, Emanuele Frandi, Ricardo Ñanculef, Claudio Sartori
2013	J	`jnl`	Training Support Vector Machines using Frank-Wolfe Optimization Methods. Int. J. Pattern Recognit. Artif. Intell. Emanuele Frandi, Ricardo Ñanculef, Maria Grazia Gasparo, Stefano Lodi, Claudio Sartori
2012	J	`jnl`	Training Support Vector Machines Using Frank-Wolfe Optimization Methods CoRR Emanuele Frandi, Ricardo Ñanculef, Maria Grazia Gasparo, Stefano Lodi, Claudio Sartori
2012	J	`jnl`	Training regression ensembles by sequential target correction and resampling. Inf. Sci. Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga
2011	C	`conf`	An Ensemble Method for Incremental Classification in Stationary and Non-stationary Environments. CIARP Ricardo Ñanculef, Erick López, Héctor Allende, Héctor Allende-Cid
2011	—	`conf`	Two One-Pass Algorithms for Data Stream Classification Using Approximate MEBs. ICANNGA (2) Ricardo Ñanculef, Héctor Allende, Stefano Lodi, Claudio Sartori
2010	C	`conf`	A New Algorithm for Training SVMs Using Approximate Minimal Enclosing Balls. CIARP Emanuele Frandi, Maria Grazia Gasparo, Stefano Lodi, Ricardo Ñanculef, Claudio Sartori
2010	C	`conf`	A Sequential Minimal Optimization Algorithm for the All-Distances Support Vector Machine. CIARP Diego Candel, Ricardo Ñanculef, Carlos Concha, Héctor Allende
2010	—	`conf`	Learning Multi-Class Support Vector Models from Distributed Data using Core-Sets (Extended Abstract). SEBD Stefano Lodi, Ricardo Ñanculef, Claudio Sartori
2010	A	`conf`	Single-Pass Distributed Learning of Multi-class SVMs Using Core-Sets. SDM Stefano Lodi, Ricardo Ñanculef, Claudio Sartori
2009	J	`jnl`	AD-SVMs: A light extension of SVMs for multicategory classification. Int. J. Hybrid Intell. Syst. Ricardo Ñanculef, Carlos Concha, Héctor Allende, Diego Candel, Claudio Moraga
2009	—	`conf`	L2-SVM Training with Distributed Data. MATES Stefano Lodi, Ricardo Ñanculef, Claudio Sartori
2008	C	`conf`	Multicategory SVMs by Minimizing the Distances among Convex-Hull Prototypes. HIS Ricardo Ñanculef, Carlos Concha, Héctor Allende, Diego Candel, Claudio Moraga
2007	C	`conf`	Bagging with Asymmetric Costs for Misclassified and Correctly Classified Examples. CIARP Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga
2007	Misc	`conf`	Probabilistic Aggregation of Classifiers for Incremental Learning. IWANN Patricia Trejo, Ricardo Ñanculef, Héctor Allende, Claudio Moraga
2007	C	`conf`	Robust Alternating AdaBoost. CIARP Héctor Allende-Cid, Rodrigo Salas, Héctor Allende, Ricardo Ñanculef
2007	B	`conf`	Two Bagging Algorithms with Coupled Learners to Encourage Diversity. IDA Carlos Valle, Ricardo Ñanculef, Héctor Allende, Claudio Moraga
2006	—	`conf`	Ensemble Learning with Local Diversity. ICANN (1) Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga
2006	C	`conf`	Local Negative Correlation with Resampling. IDEAL Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga
2005	—	`conf`	Moderated Innovations in Self-poised Ensemble Learning. CIS (1) Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga
2005	B	`conf`	Self-poised Ensemble Learning. IDA Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga
2004	—	`conf`	Multiresolution Fuzzy Rule Systems. Fuzzy Days Ricardo Ñanculef, Carlos Concha, Claudio Moraga, Héctor Allende
2004	—	`conf`	Robust Bootstrapping Neural Networks. MICAI Héctor Allende, Ricardo Ñanculef, Rodrigo Salas