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ORCIDExpert Systems with Applications, Volume 143
Volume 143, April 2020
- Hyunseung Bang
, Daniel Selva:
Discovering generalized design knowledge using a multi-objective evolutionary algorithm with generalization operators. - Mohamed Lamine Bouibed, Hassiba Nemmour, Youcef Chibani:
Multiple writer retrieval systems based on language independent dissimilarity learning. - Sebastián Maldonado, Julio López, Angel Jiménez Molina, Hernan Lira:
Simultaneous feature selection and heterogeneity control for SVM classification: An application to mental workload assessment. - Fei Gao, Hyunsoo Yoon, Teresa Wu, Xianghua Chu:
A feature transfer enabled multi-task deep learning model on medical imaging. - Raffaele Guarasci, Emanuele Damiano, Aniello Minutolo, Massimo Esposito, Giuseppe De Pietro:
Lexicon-Grammar based open information extraction from natural language sentences in Italian. - Hyungbin Yun, Minhyeok Lee, Yeong Seon Kang, Junhee Seok:
Portfolio management via two-stage deep learning with a joint cost. - Yolanda Blanco-Fernández, Alberto Gil-Solla, José Juan Pazos-Arias, Manuel Ramos Cabrer, Abdullah Daif, Martín López Nores:
Distracting users as per their knowledge: Combining linked open data and word embeddings to enhance history learning. - Shariq Bashir:
An efficient pattern growth approach for mining fault tolerant frequent itemsets. - Mayuri Wadkar, Fabio Di Troia, Mark Stamp:
Detecting malware evolution using support vector machines. - Wuyu Wang, Weizi Li, Ning Zhang, Kecheng Liu:
Portfolio formation with preselection using deep learning from long-term financial data. - Young-Duk Seo, Euijong Lee, Young-Gab Kim:
Video on demand recommender system for internet protocol television service based on explicit information fusion. - Javier Rodríguez-Cuadrado, David Delgado-Gómez, Juan C. Laria, Sara Rodríguez-Cuadrado:
Merged Tree-CAT: A fast method for building precise computerized adaptive tests based on decision trees. - Sang-Yun Shin, Yong-Won Kang, Yong-Guk Kim:
Reward-driven U-Net training for obstacle avoidance drone. - Songyut Phoemphon, Chakchai So-In, Nutthanon Leelathakul:
A hybrid localization model using node segmentation and improved particle swarm optimization with obstacle-awareness for wireless sensor networks. - Tao Zhang, Jinhua Liang, Biyun Ding:
Acoustic scene classification using deep CNN with fine-resolution feature. - Chayut Wiwatcharakoses, Daniel Berrar:
SOINN+, a Self-Organizing Incremental Neural Network for Unsupervised Learning from Noisy Data Streams. - Ching-Hung Lee, Chun-Hsien Chen, Fan Li, An-Jin Shie:
Customized and knowledge-centric service design model integrating case-based reasoning and TRIZ. - Mudasir Mohd, Rafiya Jan, Muzaffar Bashir Shah:
Text document summarization using word embedding. - Daniel Ayala, Agustín Borrego, Inma Hernández, David Ruiz:
A neural network for semantic labelling of structured information. - Dae Ha Kim, Seung Hyun Lee, Jungho Jeon, Byung Cheol Song:
Real-time purchase behavior recognition system based on deep learning-based object detection and tracking for an unmanned product cabinet. - Ali Amiri:
A Lagrangean based solution algorithm for the knapsack problem with setups. - Zheng Tan, Hang Yu, Wei Wei, Jinglei Liu:
Top-K interesting preference rules mining based on MaxClique. - Imanne El Maachi, Guillaume-Alexandre Bilodeau, Wassim Bouachir:
Deep 1D-Convnet for accurate Parkinson disease detection and severity prediction from gait. - Oscar J. Pellicer-Valero, María José Rupérez, Sandra Martínez-Sanchis, José David Martín-Guerrero:
Real-time biomechanical modeling of the liver using Machine Learning models trained on Finite Element Method simulations. - Nguyen Ngoc Thuy, Sartra Wongthanavasu:
An efficient stripped cover-based accelerator for reduction of attributes in incomplete decision tables. - Hyoju Nam, Unil Yun, Eunchul Yoon, Jerry Chun-Wei Lin:
Efficient approach for incremental weighted erasable pattern mining with list structure. - Yeqi Liu, Chuanyang Gong, Ling Yang, Yingyi Chen:
DSTP-RNN: A dual-stage two-phase attention-based recurrent neural network for long-term and multivariate time series prediction. - Liang Feng, Qianchuan Zhao, Cangqi Zhou:
Improving performances of Top-N recommendations with co-clustering method. - Itay Hazan, Oded Margalit, Lior Rokach:
Keystroke dynamics obfuscation using key grouping. - M. A. Ganaie, Muhammad Tanveer, Ponnuthurai N. Suganthan:
Oblique Decision Tree Ensemble via Twin Bounded SVM. - Shaveta Dargan, Munish Kumar:
A comprehensive survey on the biometric recognition systems based on physiological and behavioral modalities.
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