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Isaac Triguero
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2020 – today
- 2024
- [j58]Nasser Alkhulaifi, Alexander L. Bowler, Direnc Pekaslan, Gulcan Serdaroglu, Steve Closs, Nicholas James Watson, Isaac Triguero:
Machine Learning Pipeline for Energy and Environmental Prediction in Cold Storage Facilities. IEEE Access 12: 153935-153951 (2024) - [j57]Timothy Cargan, Dario Landa-Silva
, Isaac Triguero
Local-global methods for generalised solar irradiance forecasting. Appl. Intell. 54(2): 2225-2247 (2024) - [j56]Isaac Triguero
General Purpose Artificial Intelligence Systems (GPAIS): Properties, definition, taxonomy, societal implications and responsible governance. Inf. Fusion 103: 102135 (2024) - [j55]Han Meng
SEGAL time series classification - Stable explanations using a generative model and an adaptive weighting method for LIME. Neural Networks 176: 106345 (2024) - [c34]Juan José Herrera Aranda
A Preliminary Study on Preprocessing the Semantic Space in Zero-Shot Learning. HAIS (2) 2024: 177-189 - [c33]J. Lopez-Martinez, Purificación Checa, José Manuel Soto-Hidalgo, Isaac Triguero, Alberto Fernández:
A Wearable Eye-Tracking Approach for Early Autism Detection with Machine Learning: Unravelling Challenges and Opportunities. IJCNN 2024: 1-8 - [i8]Javier Poyatos, Javier Del Ser, Salvador García, Hisao Ishibuchi, Daniel Molina, Isaac Triguero, Bing Xue, Xin Yao, Francisco Herrera:
Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects. CoRR abs/2407.08745 (2024) - 2023
- [j54]Kyle D. S. Maclean, Isaac Triguero
Identifying bird species by their calls in Soundscapes. Appl. Intell. 53(19): 21485-21499 (2023) - [j53]Han Meng
Explaining time series classifiers through meaningful perturbation and optimisation. Inf. Sci. 645: 119334 (2023) - [c32]Ryan Dave, Juan S. Angarita-Zapata
Hyper-Stacked: Scalable and Distributed Approach to AutoML for Big Data. CD-MAKE 2023: 82-102 - [c31]Han Meng, Christian Wagner, Isaac Triguero
An Initial Step Towards Stable Explanations for Multivariate Time Series Classifiers with LIME. FUZZ 2023: 1-6 - [i7]Timothy Cargan, Dario Landa-Silva, Isaac Triguero:
Forecasting Solar Irradiance without Direct Observation: An Empirical Analysis. CoRR abs/2303.06010 (2023) - [i6]Juan S. Angarita-Zapata, Antonio D. Masegosa, Isaac Triguero
AutoEn: An AutoML method based on ensembles of predefined Machine Learning pipelines for supervised Traffic Forecasting. CoRR abs/2303.10732 (2023) - [i5]Isaac Triguero
General Purpose Artificial Intelligence Systems (GPAIS): Properties, Definition, Taxonomy, Open Challenges and Implications. CoRR abs/2307.14283 (2023) - [i4]Direnc Pekaslan, Jose Maria Alonso-Moral
The Energy Prediction Smart-Meter Dataset: Analysis of Previous Competitions and Beyond. CoRR abs/2311.04007 (2023) - 2022
- [j52]Heda Song
A fusion spatial attention approach for few-shot learning. Inf. Fusion 81: 187-202 (2022) - [j51]Hoang Lam Le
SPMS-ALS: A Single-Point Memetic structure with accelerated local search for instance reduction. Swarm Evol. Comput. 69: 100991 (2022) - [c30]Hoang Lam Le, Ferrante Neri
Accelerated pattern search with variable solution size for simultaneous instance selection and generation. GECCO Companion 2022: 256-259 - [c29]Han Meng, Christian Wagner, Isaac Triguero
Feature Importance Identification for Time Series Classifiers. SMC 2022: 3293-3298 - [i3]Christoph Bergmeir, Frits de Nijs, Abishek Sriramulu, Mahdi Abolghasemi, Richard Bean, John M. Betts, Quang Bui, Nam Trong Dinh, Nils Einecke
Comparison and Evaluation of Methods for a Predict+Optimize Problem in Renewable Energy. CoRR abs/2212.10723 (2022) - 2021
- [j50]Hoang Lam Le
EUSC: A clustering-based surrogate model to accelerate evolutionary undersampling in imbalanced classification. Appl. Soft Comput. 101: 107033 (2021) - [j49]Swagatam Das
Neurocomputing guest editorial for the special issue: Advances in deep and shallow machine learning approaches for handling data irregularities. Neurocomputing 419: 259-260 (2021) - [j48]Heda Song, Mercedes Torres Torres, Ender Özcan
L2AE-D: Learning to Aggregate Embeddings for Few-shot Learning with Meta-level Dropout. Neurocomputing 442: 200-208 (2021) - [j47]Manuel González
Decomposition-Fusion for Label Distribution Learning. Inf. Fusion 66: 64-75 (2021) - [j46]Márcio P. Basgalupp
Beyond global and local multi-target learning. Inf. Sci. 579: 508-524 (2021) - [j45]Weiping Ding
Coevolutionary Fuzzy Attribute Order Reduction With Complete Attribute-Value Space Tree. IEEE Trans. Emerg. Top. Comput. Intell. 5(1): 130-142 (2021) - [j44]Weiping Ding
Multigranulation Supertrust Model for Attribute Reduction. IEEE Trans. Fuzzy Syst. 29(6): 1395-1408 (2021) - [c28]Stepan Romanov, Heda Song, Michel F. Valstar, Don Sharkey, Caz Henry, Isaac Triguero
Few-Shot Learning for Postnatal Gestational Age Estimation. IJCNN 2021: 1-8 - 2020
- [j43]Manuel Jiménez
Galaxy Image Classification Based on Citizen Science Data: A Comparative Study. IEEE Access 8: 47232-47246 (2020) - [j42]Jesús Maillo
Redundancy and Complexity Metrics for Big Data Classification: Towards Smart Data. IEEE Access 8: 87918-87928 (2020) - [j41]Weiping Ding, Chin-Teng Lin
Current trends of granular data mining for biomedical data analysis. Inf. Sci. 510: 341-343 (2020) - [j40]Jesús Maillo
Fast and Scalable Approaches to Accelerate the Fuzzy k-Nearest Neighbors Classifier for Big Data. IEEE Trans. Fuzzy Syst. 28(5): 874-886 (2020) - [c27]Hoang Lam Le
A Hybrid Surrogate Model for Evolutionary Undersampling in Imbalanced Classification. CEC 2020: 1-8 - [c26]Ferrante Neri
A Local Search with a Surrogate Assisted Option for Instance Reduction. EvoApplications 2020: 578-594 - [c25]Fatemeh Aghaeipoor
Chi-BD-DRF: Design of Scalable Fuzzy Classifiers for Big Data via A Dynamic Rule Filtering Approach. FUZZ-IEEE 2020: 1-7 - [c24]Juan S. Angarita-Zapata
General-Purpose Automated Machine Learning for Transportation: A Case Study of Auto-sklearn for Traffic Forecasting. IPMU (2) 2020: 728-744
2010 – 2019
- 2019
- [j39]Weiping Ding, Gary G. Yen
IEEE Access Special Section Editorial: Data Mining and Granular Computing in Big Data and Knowledge Processing. IEEE Access 7: 47682-47686 (2019) - [j38]Juan S. Angarita-Zapata
A Taxonomy of Traffic Forecasting Regression Problems From a Supervised Learning Perspective. IEEE Access 7: 68185-68205 (2019) - [j37]Alberto Fernández, Isaac Triguero
Guest Editorial: Computational Intelligence for Big Data Analytics. Cogn. Comput. 11(3): 329-330 (2019) - [j36]Rebecca Tickle
PAS3-HSID: a Dynamic Bio-Inspired Approach for Real-Time Hot Spot Identification in Data Streams. Cogn. Comput. 11(3): 434-458 (2019) - [j35]Mikel Canizo
Multi-head CNN-RNN for multi-time series anomaly detection: An industrial case study. Neurocomputing 363: 246-260 (2019) - [j34]Manuel Jiménez
Handling uncertainty in citizen science data: Towards an improved amateur-based large-scale classification. Inf. Sci. 479: 301-320 (2019) - [j33]Bartosz Krawczyk
Instance reduction for one-class classification. Knowl. Inf. Syst. 59(3): 601-628 (2019) - [j32]Heda Song
A review on the self and dual interactions between machine learning and optimisation. Prog. Artif. Intell. 8(2): 143-165 (2019) - [j31]Tongquan Wei, Junlong Zhou, Rajiv Ranjan, Isaac Triguero
Introduction to the Special Issue on Human-interaction-aware Data Analytics for Cyber-physical Systems. ACM Trans. Cyber Phys. Syst. 3(4) (2019) - [j30]Isaac Triguero
Transforming big data into smart data: An insight on the use of the k-nearest neighbors algorithm to obtain quality data. WIREs Data Mining Knowl. Discov. 9(2) (2019) - [c23]Ning Xue
Evolving Deep CNN-LSTMs for Inventory Time Series Prediction. CEC 2019: 1517-1524 - [c22]Manuel Jiménez
A Preliminary Approach for the Exploitation of Citizen Science Data for Fast and Robust Fuzzy k-Nearest Neighbour Classification. FUZZ-IEEE 2019: 1-6 - [c21]Rebecca Tickle, Isaac Triguero, Grazziela P. Figueredo
Fuzzy Hot Spot Identification for Big Data: An Initial Approach. FUZZ-IEEE 2019: 1-6 - [c20]Ning Xue
A Simulation-based Optimisation Approach for Inventory Management of Highly Perishable Food. ICORES 2019: 406-413 - [i2]Heda Song, Mercedes Torres Torres, Ender Özcan, Isaac Triguero:
L2AE-D: Learning to Aggregate Embeddings for Few-shot Learning with Meta-level Dropout. CoRR abs/1904.04339 (2019) - 2018
- [j29]Daniel Peralta, Isaac Triguero
On the use of convolutional neural networks for robust classification of multiple fingerprint captures. Int. J. Intell. Syst. 33(1): 213-230 (2018) - [j28]Mabel González Castellanos
Self-labeling techniques for semi-supervised time series classification: an empirical study. Knowl. Inf. Syst. 55(2): 493-528 (2018) - [c19]Mikel Galar, Isaac Triguero, Humberto Bustince, Francisco Herrera:
A Preliminary Study of the Feasibility of Global Evolutionary Feature Selection for Big Datasets under Apache Spark. CEC 2018: 1-8 - [c18]Ning Xue
A Genetic Algorithm With Composite Chromosome for Shift Assignment of Part-time Employees. CEC 2018: 1-8 - [c17]Jesús Maillo, Julián Luengo
A preliminary study on Hybrid Spill-Tree Fuzzy k-Nearest Neighbors for big data classification. FUZZ-IEEE 2018: 1-8 - [c16]Juan S. Angarita-Zapata
A Preliminary Study on Automatic Algorithm Selection for Short-Term Traffic Forecasting. IDC 2018: 204-214 - 2017
- [j27]Isaac Triguero
KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining. Int. J. Comput. Intell. Syst. 10(1): 1238-1249 (2017) - [j26]Jesús Maillo
kNN-IS: An Iterative Spark-based design of the k-Nearest Neighbors classifier for big data. Knowl. Based Syst. 117: 3-15 (2017) - [j25]Daniel Peralta
Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection. Knowl. Based Syst. 126: 91-103 (2017) - [j24]Grazziela P. Figueredo
An Immune-Inspired Technique to Identify Heavy Goods Vehicles Incident Hot Spots. IEEE Trans. Emerg. Top. Comput. Intell. 1(4): 248-258 (2017) - [c15]Isaac Triguero
A first attempt on global evolutionary undersampling for imbalanced big data. CEC 2017: 2054-2061 - [c14]Jesús Maillo
Exact fuzzy k-nearest neighbor classification for big datasets. FUZZ-IEEE 2017: 1-6 - [c13]Isaac Triguero, Grazziela P. Figueredo
Vehicle Incident Hot Spots Identification: An Approach for Big Data. TrustCom/BigDataSE/ICESS 2017: 901-908 - [i1]Daniel Peralta, Isaac Triguero, Salvador García, Yvan Saeys, José Manuel Benítez, Francisco Herrera:
Fingerprint classification with a new deep neural network model: robustness for different captures of the same fingerprints. CoRR abs/1703.07270 (2017) - 2016
- [j23]Sarah Vluymans, Isaac Triguero
EPRENNID: An evolutionary prototype reduction based ensemble for nearest neighbor classification of imbalanced data. Neurocomputing 216: 596-610 (2016) - [j22]Daniel Peralta
DPD-DFF: A dual phase distributed scheme with double fingerprint fusion for fast and accurate identification in large databases. Inf. Fusion 32: 40-51 (2016) - [j21]Mabel González Castellanos, Christoph Bergmeir
On the stopping criteria for k-Nearest Neighbor in positive unlabeled time series classification problems. Inf. Sci. 328: 42-59 (2016) - [j20]Isaac Triguero
Labelling strategies for hierarchical multi-label classification techniques. Pattern Recognit. 56: 170-183 (2016) - [c12]Isaac Triguero
Evolutionary undersampling for extremely imbalanced big data classification under apache spark. CEC 2016: 640-647 - [c11]Isaac Triguero
From Big Data to Smart Data with the K-Nearest Neighbours Algorithm. iThings/GreenCom/CPSCom/SmartData 2016: 859-864 - 2015
- [j19]Isaac Triguero
MRPR: A MapReduce solution for prototype reduction in big data classification. Neurocomputing 150: 331-345 (2015) - [j18]Daniel Peralta, Mikel Galar, Isaac Triguero, Daniel Paternain, Salvador García, Edurne Barrenechea, José Manuel Benítez, Humberto Bustince, Francisco Herrera:
A survey on fingerprint minutiae-based local matching for verification and identification: Taxonomy and experimental evaluation. Inf. Sci. 315: 67-87 (2015) - [j17]Isaac Triguero
Self-labeled techniques for semi-supervised learning: taxonomy, software and empirical study. Knowl. Inf. Syst. 42(2): 245-284 (2015) - [j16]Mikel Galar, Joaquín Derrac, Daniel Peralta, Isaac Triguero, Daniel Paternain, Carlos Lopez-Molina, Salvador García, José Manuel Benítez, Miguel Pagola, Edurne Barrenechea Tartas, Humberto Bustince Sola, Francisco Herrera:
A survey of fingerprint classification Part I: Taxonomies on feature extraction methods and learning models. Knowl. Based Syst. 81: 76-97 (2015) - [j15]Mikel Galar, Joaquín Derrac, Daniel Peralta, Isaac Triguero, Daniel Paternain, Carlos Lopez-Molina, Salvador García, José Manuel Benítez, Miguel Pagola, Edurne Barrenechea Tartas, Humberto Bustince Sola, Francisco Herrera:
A survey of fingerprint classification Part II: Experimental analysis and ensemble proposal. Knowl. Based Syst. 81: 98-116 (2015) - [j14]Isaac Triguero
ROSEFW-RF: The winner algorithm for the ECBDL'14 big data competition: An extremely imbalanced big data bioinformatics problem. Knowl. Based Syst. 87: 69-79 (2015) - [j13]Isaac Triguero
SEG-SSC: A Framework Based on Synthetic Examples Generation for Self-Labeled Semi-Supervised Classification. IEEE Trans. Cybern. 45(4): 622-634 (2015) - [c10]Isaac Triguero
Evolutionary undersampling for imbalanced big data classification. CEC 2015: 715-722 - [c9]Jesús Maillo
A MapReduce-Based k-Nearest Neighbor Approach for Big Data Classification. TrustCom/BigDataSE/ISPA (2) 2015: 167-172 - 2014
- [j12]Daniel Peralta
Minutiae filtering to improve both efficacy and efficiency of fingerprint matching algorithms. Eng. Appl. Artif. Intell. 32: 37-53 (2014) - [j11]Victoria López, Isaac Triguero
Addressing imbalanced classification with instance generation techniques: IPADE-ID. Neurocomputing 126: 15-28 (2014) - [j10]Isaac Triguero
On the characterization of noise filters for self-training semi-supervised in nearest neighbor classification. Neurocomputing 132: 30-41 (2014) - [j9]Daniel Peralta
Fast fingerprint identification for large databases. Pattern Recognit. 47(2): 588-602 (2014) - [c8]Bartosz Krawczyk, Isaac Triguero
A first attempt on evolutionary prototype reduction for nearest neighbor one-class classification. IEEE Congress on Evolutionary Computation 2014: 747-753 - [c7]Isaac Triguero
A combined MapReduce-windowing two-level parallel scheme for evolutionary prototype generation. IEEE Congress on Evolutionary Computation 2014: 3036-3043 - 2012
- [j8]Daniel Gómez-Lorente, Isaac Triguero
Evolutionary algorithms for the design of grid-connected PV-systems. Expert Syst. Appl. 39(9): 8086-8094 (2012) - [j7]Isaac Triguero
Integrating a differential evolution feature weighting scheme into prototype generation. Neurocomputing 97: 332-343 (2012) - [j6]Salvador García
Evolutionary-based selection of generalized instances for imbalanced classification. Knowl. Based Syst. 25(1): 3-12 (2012) - [j5]Christoph Bergmeir
Time Series Modeling and Forecasting Using Memetic Algorithms for Regime-Switching Models. IEEE Trans. Neural Networks Learn. Syst. 23(11): 1841-1847 (2012) - [j4]Isaac Triguero
A Taxonomy and Experimental Study on Prototype Generation for Nearest Neighbor Classification. IEEE Trans. Syst. Man Cybern. Part C 42(1): 86-100 (2012) - [j3]Joaquín Derrac, Isaac Triguero
Integrating Instance Selection, Instance Weighting, and Feature Weighting for Nearest Neighbor Classifiers by Coevolutionary Algorithms. IEEE Trans. Syst. Man Cybern. Part B 42(5): 1383-1397 (2012) - [c6]Joaquín Derrac, Isaac Triguero
A Co-evolutionary Framework for Nearest Neighbor Enhancement: Combining Instance and Feature Weighting with Instance Selection. HAIS (2) 2012: 176-187 - [c5]Christoph Bergmeir
Optimization of Neuro-Coefficient Smooth Transition Autoregressive Models Using Differential Evolution. HAIS (1) 2012: 464-473 - 2011
- [j2]Isaac Triguero
Differential evolution for optimizing the positioning of prototypes in nearest neighbor classification. Pattern Recognit. 44(4): 901-916 (2011) - [c4]Isaac Triguero
Enhancing IPADE Algorithm with a Different Individual Codification. HAIS (2) 2011: 262-270 - [c3]Isaac Triguero
A study of the scaling up capabilities of stratified prototype generation. NaBIC 2011: 297-302 - 2010
- [j1]Isaac Triguero
IPADE: Iterative Prototype Adjustment for Nearest Neighbor Classification. IEEE Trans. Neural Networks 21(12): 1984-1990 (2010) - [c2]Isaac Triguero
A preliminary study on the use of differential evolution for adjusting the position of examples in nearest neighbor classification. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c1]Salvador García
A Preliminary Study on the Selection of Generalized Instances for Imbalanced Classification. IEA/AIE (1) 2010: 601-610
Coauthor Index
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