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ORCIDProgress in Artificial Intelligence, Volume 8
Volume 8, Number 1, April 2019
- David Charte
, Francisco Charte, Salvador García, Francisco Herrera:
A snapshot on nonstandard supervised learning problems: taxonomy, relationships, problem transformations and algorithm adaptations. 1-14 - Haitong Zhao, Changsheng Zhang, Jiaxu Ning, Bin Zhang, Peng Sun, Yunfei Feng:
A comparative study of the evolutionary many-objective algorithms. 15-43 - Manik Sharma, Gurvinder Singh, Rajinder Singh:
A review of different cost-based distributed query optimizers. 45-62 - Laura Cleofas-Sánchez, J. Salvador Sánchez, Vicente García:
Gene selection and disease prediction from gene expression data using a two-stage hetero-associative memory. 63-71 - Farzin Ghorban, Narges Milani, Daniel Schugk, Lutz Roese-Koerner, Yu Su, Dennis Müller, Anton Kummert:
Conditional multichannel generative adversarial networks with an application to traffic signs representation learning. 73-82 - Jay Prakash, Pramod Kumar Singh, Avadh Kishor:
Integrating fitness predator optimizer with multi-objective PSO for dynamic partitional clustering. 83-99 - Jorge Díez, David Martínez-Rego, Amparo Alonso-Betanzos, Oscar Luaces, Antonio Bahamonde:
Optimizing novelty and diversity in recommendations. 101-109 - Anshita Gupta, Sanya Bathla Taneja, Garima Malik, Sonakshi Vij, Devendra K. Tayal, Amita Jain:
SLANGZY: a fuzzy logic-based algorithm for English slang meaning selection. 111-121 - Farek Lazhar:
Fuzzy clustering-based semi-supervised approach for outlier detection in big text data. 123-132 - Jianxun Jiang, Jianbin Xin:
Path planning of a mobile robot in a free-space environment using Q-learning. 133-142
Volume 8, Number 2, June 2019
- Heda Song, Isaac Triguero, Ender Özcan:
A review on the self and dual interactions between machine learning and optimisation. 143-165 - Xiaoling Wu, Ji Zhao, Huibin Wang:
Face segmentation based on level set and improved DBM prior shape. 167-179 - Prem Kumar Singh:
Granular-based decomposition of complex fuzzy context and its analysis. 181-193 - Serafín Moral-García, Carlos Javier Mantas, Javier G. Castellano, Joaquín Abellán:
Ensemble of classifier chains and Credal C4.5 for solving multi-label classification. 195-213 - Ludmila I. Kuncheva, Álvar Arnaiz-González, José-Francisco Díez-Pastor, Iain A. D. Gunn:
Instance selection improves geometric mean accuracy: a study on imbalanced data classification. 215-228 - Pierre Bisquert, Madalina Croitoru, Christos Kaklamanis, Nikos Karanikolas:
A decision-making approach where argumentation added value tackles social choice deficiencies. 229-239 - Hamid Khalifi, Walid Cherif, Abderrahim El Qadi, Youssef Ghanou:
Query expansion based on clustering and personalized information retrieval. 241-251 - Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz, César Hervás-Martínez:
Dynamical memetization in coral reef optimization algorithms for optimal time series approximation. 253-262 - Md Shajalal, Masaki Aono:
Semantic textual similarity between sentences using bilingual word semantics. 263-272 - Hiroshi Kuwajima, Masayuki Tanaka, Masatoshi Okutomi:
Improving transparency of deep neural inference process. 273-285
Volume 8, Number 3, September 2019
- M. Cristina Heredia-Gómez, Salvador García, Pedro Antonio Gutiérrez, Francisco Herrera:
OCAPIS: R package for Ordinal Classification and Preprocessing in Scala. 287-292 - Shilpa Gite, Himanshu Agrawal, Ketan Kotecha:
Early anticipation of driver's maneuver in semiautonomous vehicles using deep learning. 293-305 - Carmen Zarco, Elena Santos, Oscar Cordón:
Advanced visualization of Twitter data for its analysis as a communication channel in traditional companies. 307-323 - Jesús Alonso Abad, Carlos López Nozal, Jesús Manuel Maudes Raedo, Raúl Marticorena Sánchez:
Label prediction on issue tracking systems using text mining. 325-342 - Santosh Kumar Majhi, Abhilash Mishra, Rosy Pradhan:
A chaotic salp swarm algorithm based on quadratic integrate and fire neural model for function optimization. 343-358 - Jerónimo Hernández-González:
A framework for evaluation in learning from label proportions. 359-373 - Luis A. Quintero-Domínguez, Carlos Morell, Sebastián Ventura:
WordificationMI: multi-relational data mining through multiple-instance propositionalization. 375-387 - Enrique González Rodrigo, Juan A. Aledo, José A. Gámez:
Scaling up the learning-from-crowds GLAD algorithm using instance-difficulty clustering. 389-399
Volume 8, Number 4, December 2019
- Ritu Gautam, Prableen Kaur, Manik Sharma:
A comprehensive review on nature inspired computing algorithms for the diagnosis of chronic disorders in human beings. 401-424 - Mauro Scanagatta, Antonio Salmerón, Fabio Stella:
A survey on Bayesian network structure learning from data. 425-439 - Abdellatif El Afia, Oussama Aoun, Salvador García:
Adaptive cooperation of multi-swarm particle swarm optimizer-based hidden Markov model. 441-452 - José Ramón Villar, Enrique A. de la Cal, Mirko Fáñez, Víctor M. González, Javier Sedano:
User-centered fall detection using supervised, on-line learning and transfer learning. 453-474 - Magnus Boman, Fehmi Ben Abdesslem, Erik Forsell, Daniel Gillblad, Olof Görnerup, Nils Isacsson, Magnus Sahlgren, Viktor Kaldo:
Learning machines in Internet-delivered psychological treatment. 475-485 - Carlos Abreu Ferreira, João Gama, Vítor Santos Costa:
Contrasting logical sequences in multi-relational learning. 487-503 - Francisco Charte, Alberto Vico, María Dolores Pérez-Godoy, Antonio J. Rivera:
predtoolsTS: R package for streamlining time series forecasting. 505-510 - Rohaifa Khaldi, Abdellatif El Afia, Raddouane Chiheb:
Forecasting of BTC volatility: comparative study between parametric and nonparametric models. 511-523
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