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ORCIDProgress in Artificial Intelligence, Volume 9
Volume 9, Number 1, March 2020
- Mariam Bouchakwa, Yassine Ayadi
, Ikram Amous:
Multi-level diversification approach of semantic-based image retrieval results. 1-30 - Hossam Faris, Ruba Abukhurma, Waref Almanaseer, Mohammed Saadeh, Antonio Mora García, Pedro A. Castillo, Ibrahim Aljarah:
Improving financial bankruptcy prediction in a highly imbalanced class distribution using oversampling and ensemble learning: a case from the Spanish market. 31-53 - Cristóbal Barba-González, Antonio J. Nebro, José García-Nieto, José Francisco Aldana Montes:
A multi-objective interactive dynamic particle swarm optimizer. 55-65 - Pablo Pérez-Núñez, Oscar Luaces, Antonio Bahamonde, Jorge Díez:
Improving recommender systems by encoding items and user profiles considering the order in their consumption history. 67-75 - Linkai Luo, Longmin Zhang, Hong Peng:
An unsupervised keyphrase extraction model by incorporating structural and semantic information. 77-83
Volume 9, Number 2, June 2020
- Anamika Dhillon, Gyanendra K. Verma:
Convolutional neural network: a review of models, methodologies and applications to object detection. 85-112 - Aurora Ramírez, Pedro Delgado-Pérez, Javier Ferrer, José Raúl Romero, Inmaculada Medina-Bulo, Francisco Chicano:
A systematic literature review of the SBSE research community in Spain. 113-128 - Bjørn Magnus Mathisen, Agnar Aamodt, Kerstin Bach, Helge Langseth:
Learning similarity measures from data. 129-143 - Andrés R. Masegosa, Antonio Torres, María Morales, Antonio Salmerón:
Comparing two multinomial samples using hierarchical Bayesian models. 145-154 - Nakarin Suppakun, Thavida Maneewarn:
Coaching: accelerating reinforcement learning through human-assisted approach. 155-169
Volume 9, Number 3, September 2020
- Ana Isabel Marqués, Vicente García, José Salvador Sánchez:
Ranking-based MCDM models in financial management applications: analysis and emerging challenges. 171-193 - Kambiz Ghoorchian, Magnus Sahlgren:
GDTM: Graph-based Dynamic Topic Models. 195-207 - Rakesh Patra, Sujan Kumar Saha:
Utilizing external corpora through kernel function: application in biomedical named entity recognition. 209-219 - Fatima Boudane, Ali Berrichi:
Gabriel graph-based connectivity and density for internal validity of clustering. 221-238 - Fernando Puentes, María Dolores Pérez-Godoy, Pedro González, María José del Jesus:
An analysis of technological frameworks for data streams. 239-261 - Nima Farajian, Peyman Adibi:
DMRAE: discriminative manifold regularized auto-encoder for sparse and robust feature learning. 263-274 - Martin Anthony, Joel Ratsaby:
Large-width machine learning algorithm. 275-285
Volume 9, Number 4, December 2020
- Artem Obukhov, Mikhail Krasnyanskiy, Maxim Nikolyukin:
Algorithm of adaptation of electronic document management system based on machine learning technology. 287-303 - Lutiele M. Godois, Diana Francisca Adamatti, Leonardo R. Emmendorfer:
A multi-agent-based algorithm for data clustering. 305-313 - Sergio Gil-Borrás, Eduardo G. Pardo, Antonio Alonso-Ayuso, Abraham Duarte:
Fixed versus variable time window warehousing strategies in real time. 315-324 - Sapan H. Mankad, Sanjay Garg:
On the performance of empirical mode decomposition-based replay spoofing detection in speaker verification systems. 325-339 - Laith S. Sawaqed, Ayman M. Alrayes:
Bearing fault diagnostic using machine learning algorithms. 341-350 - Matías Roodschild, Jorge Gotay Sardiñas, Adrian Will:
A new approach for the vanishing gradient problem on sigmoid activation. 351-360 - Nazeeh Ghatasheh, Hossam Faris, Ruba Abukhurma, Pedro A. Castillo, Nailah Al-Madi, Antonio Miguel Mora, Ala' M. Al-Zoubi, Ahmad Basheer Hassanat:
Cost-sensitive ensemble methods for bankruptcy prediction in a highly imbalanced data distribution: a real case from the Spanish market. 361-375
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