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ORCIDKnowledge and Information Systems, Volume 66
Volume 66, Number 1, January 2024
- Pedro B. Pio, Adriano Rivolli, André C. P. L. F. de Carvalho, Luís Paulo F. Garcia:
A review on preprocessing algorithm selection with meta-learning. 1-28 - Jianliang Gao, Moctard Babatounde Oloulade, Raeed Al-Sabri
, Jiamin Chen, Tengfei Lyu, Zhenpeng Wu:
Graph neural architecture prediction. 29-58 - Ryan Mercer, Eamonn J. Keogh:
Novelets: a new primitive that allows online detection of emerging behaviors in time series. 59-87 - Ziru Liu, Kecheng Chen, Fengyi Song, Bo Chen, Xiangyu Zhao, Huifeng Guo, Ruiming Tang:
AutoAssign+: Automatic Shared Embedding Assignment in streaming recommendation. 89-113 - Xiongtao Zhang, Mingxin Gan:
Hi-GNN: hierarchical interactive graph neural networks for auxiliary information-enhanced recommendation. 115-145 - Marcio Oliveira Jr., Regina Braga, Gleiph Ghiotto, José Maria N. David, Fernanda Campos, Victor Ströele:
Collab-RS: semantic recommendation of external collaborators for projects in software ecosystems. 147-186 - Shaolin Zhu, Shiwei Gu, Shangjie Li, Lin Xu, Deyi Xiong:
Mining parallel sentences from internet with multi-view knowledge distillation for low-resource language pairs. 187-209 - Pushp Sra, Satish Chand:
A residual utility-based concept for high-utility itemset mining. 211-235 - Shu Li, Nayyar Abbas Zaidi, Meijie Du, Zhou Zhou, Hongfei Zhang, Gang Li:
Property graph representation learning for node classification. 237-265 - M. Lakshmipathy, M. J. Shanthi Prasad, G. N. Kodandaramaiah:
Advanced ambient air quality prediction through weighted feature selection and improved reptile search ensemble learning. 267-305 - Lodewijk Brand, Hoon Seo, Lauren Zoe Baker, Carla Ellefsen, Jackson Sargent, Hua Wang:
A linear primal-dual multi-instance SVM for big data classifications. 307-338 - Engin Esme:
Enhancing classification accuracy through feature extraction: a comparative study of discretization and clustering approaches on sensor-based datasets. 339-356 - Bao Duong, Thin Nguyen:
Normalizing flows for conditional independence testing. 357-380 - Ana Cerdeira-Pena, Guillermo de Bernardo, Antonio Fariña, Javier D. Fernández, Miguel A. Martínez-Prieto:
Compressed and queryable self-indexes for RDF archives. 381-417 - Carlos Abel Córdova Sáenz, Karin Becker:
Understanding stance classification of BERT models: an attention-based framework. 419-451 - Anna Formica, Ida Mele, Francesco Taglino:
A template-based approach for question answering over knowledge bases. 453-479 - M. Lakshmanan, G. S. Anandha Mala:
Merkle tree-blockchain-assisted privacy preservation of electronic medical records on offering medical data protection through hybrid heuristic algorithm. 481-509 - Wenyi Zhang, Xiaohua Shen, Haoran Zhang, Zhaohui Yin, Jiayu Sun, Xisheng Zhan, Lejun Zou:
Feature importance measure of a multilayer perceptron based on the presingle-connection layer. 511-533 - Julius Femi Godslove, Ajit Kumar Nayak:
Trilingual conversational intent decoding for response retrieval. 535-556 - P. M. Lavanya, E. Sasikala:
IFM-RCNN: a hybrid text classifier with enhanced performance of binary drug classification from tweets using improved faster mask-recurrent convolutional neural network. 557-579 - Shifei Ding, Qidong Wang, Lili Guo, Jian Zhang, Ling Ding:
A novel image denoising algorithm combining attention mechanism and residual UNet network. 581-611 - Firas Gerges, Michel C. Boufadel, Elie Bou-Zeid, Hani Nassif, Jason T. L. Wang:
Long-term prediction of daily solar irradiance using Bayesian deep learning and climate simulation data. 613-633 - Mert Yilmaz Çakir, Yahya Sirin:
Enhanced autoencoder-based fraud detection: a novel approach with noise factor encoding and SMOTE. 635-652 - Muhammad Shahid Iqbal Malik, Aftab Nawaz:
SEHP: stacking-based ensemble learning on novel features for review helpfulness prediction. 653-679 - Neha Bansal, Shelly Sachdeva, Lalit Kumar Awasthi:
Query-based denormalization using hypergraph (QBDNH): a schema transformation model for migrating relational to NoSQL databases. 681-722 - Luis Fernando Panicachi Cocovilo Filho, Guilherme Palermo Coelho:
Evaluating the impact of drift detection mechanisms on stock market forecasting. 723-763
Volume 66, Number 2, February 2024
- Christopher Holder, Matthew Middlehurst, Anthony J. Bagnall:
A review and evaluation of elastic distance functions for time series clustering. 765-809 - Tomás Skopal, Ladislav Peska, David Hoksza, Ivaná Sixtova, David Bernhauer:
Visualizations for universal deep-feature representations: survey and taxonomy. 811-840 - Himanshu Suyal, Avtar Singh:
Multilabel classification using crowdsourcing under budget constraints. 841-877 - Huan Qing, Jingli Wang:
Mixed membership distribution-free model. 879-904 - Joseph Bamidele Awotunde, Ranjit Panigrahi, Shubham Shukla, Baidyanath Panda, Akash Kumar Bhoi:
Big data analytics enabled deep convolutional neural network for the diagnosis of cancer. 905-931 - Gaurav Agarwal, Shail Kumar Dinkar, Ajay Agarwal:
Binarized spiking neural networks optimized with Nomadic People Optimization-based sentiment analysis for social product recommendation. 933-958 - Ouafa Ajarroud, Ahmed Zellou, Ali Idri:
A new ontology-based similarity approach for measuring caching coverages provided by mediation systems. 959-987 - Chenlei Liu, Yuhua Xu, Zhixin Sun:
Directed dynamic attribute graph anomaly detection based on evolved graph attention for blockchain. 989-1010 - Asgarali Bouyer, Moslem Mohammadi, Bahman Arasteh:
Identifying influential nodes based on new layer metrics and layer weighting in multiplex networks. 1011-1035 - J. Brundha Elci, S. Nandagopalan:
SS-WDRN: sparrow search optimization-based weighted dual recurrent network for software fault prediction. 1037-1064 - M. Maruf Öztürk:
Tuning parameters of Apache Spark with Gauss-Pareto-based multi-objective optimization. 1065-1090 - Chao Liu, Haichao Xu, Xiaoyang Liu:
Online influence maximization under continuous independent cascade model with node-edge-level feedback. 1091-1110 - Jinpeng Chen, Haiyang Li, Xudong Zhang, Fan Zhang, Senzhang Wang, Kaimin Wei, Jiaqi Ji:
SR-HetGNN: session-based recommendation with heterogeneous graph neural network. 1111-1134 - Yue Jin, Zijun Chen, Wenyuan Liu:
Enumerating all multi-constrained s-t paths on temporal graph. 1135-1165 - Yifan Sun, Yunfeng Zhao, Guoxian Yu, Zhongmin Yan, Carlotta Domeniconi:
Few-shot partial multi-label learning with synthetic features network. 1167-1203 - Zhe Xu, Kaize Ding, Yu-Xiong Wang, Huan Liu, Hanghang Tong:
Generalized few-shot node classification: toward an uncertainty-based solution. 1205-1229 - Arthur Vervaet, Mar Callau-Zori, Yousra Chabchoub, Raja Chiky:
Online log parsing using evolving research tree. 1231-1255 - Helen Harman, Pieter Simoens:
Cyclic Action Graphs for goal recognition problems with inaccurately initialised fluents. 1257-1300 - Lei Chen, Yuan Li, Xingye Deng, Canwei Liu, Tingqin He, Ruifeng Xiao:
Adversarial enhanced attributed network embedding. 1301-1336 - Sidney M. L. de Lima, Danilo Souza, Ricardo Pinheiro, Sthéfano H. M. T. Silva, Petrônio Lopes, Rafael Lima, Jemerson Oliveira, Thyago de Amorim Monteiro, Sérgio M. M. Fernandes, Edison de Queiroz Albuquerque, Washington Wagner Azevedo da Silva, Wellington P. dos Santos:
Next-generation antivirus for JavaScript malware detection based on dynamic features. 1337-1370 - Sanjay Kumar Anand, Suresh Kumar:
Ontology-based soft computing and machine learning model for efficient retrieval. 1371-1402 - T. Sudarson Rama Perumal, A. Jayachandran, S. Ratheesh Kumar:
Microaneurysms detection in fundus images using local Fourier transform and neighbourhood analysis. 1403-1423 - Xiangfu Meng, Xiaoyan Zhang, Hongjin Huo, Qiangkui Leng:
Top-k approximate selection for typicality query results over spatio-textual data. 1425-1468 - Devis Bianchini, Valeria De Antonellis, Massimiliano Garda:
A semantics-enabled approach for personalised Data Lake exploration. 1469-1502 - Daniela Moctezuma, Carlos López-Vázquez, Lucas Lopes, Norton Trevisan, José Pérez:
Text-based paper-level classification procedure for non-traditional sciences using a machine learning approach. 1503-1520 - Tsegamlak Terefe Debella, Maxime Devanne, Jonathan Weber, Dereje Hailemariam Woldegebreal, Germain Forestier:
Correction: Estimating time series averages from latent space of multi-tasking neural networks. 1521
Volume 66, Number 3, March 2024
- Kuduva Janarthanan Sowmiya Narayanan, Asaithambi Manimaran:
Recent developments in geographic information systems across different application domains: a review. 1523-1547 - Supriya Agrahari, Sakshi Srivastava, Anil Kumar Singh:
Review on novelty detection in the non-stationary environment. 1549-1574 - Dipti Theng, Kishor K. Bhoyar:
Feature selection techniques for machine learning: a survey of more than two decades of research. 1575-1637 - Li Liu:
Dynamic time-aware collaborative sequential recommendation with attention-based network. 1639-1655 - Zhenpeng Wu, Jiamin Chen, Raeed Al-Sabri, Oloulade Babatounde Moctard, Jianliang Gao:
Adaptive graph contrastive learning with joint optimization of data augmentation and graph encoder. 1657-1681 - Azze-eddine Maredj, Madjid Sadallah, Nourredine Tonkin:
Enhancing multimedia document modeling through extended orbit-based rhetorical structure: an approach to media weighting for importance determination. 1683-1707 - Binesh Nair:
Predicting document novelty: an unsupervised learning approach. 1709-1728 - Ling Shi, Yingke Chen, Jiaxuan Lin, Xiaoyu Chen, Guangming Dai:
A black-box model for predicting difficulty of word puzzle games: a case study of Wordle. 1729-1750 - Pei-Yuan Lai, Zhe-Rui Yang, Qing-Yun Dai, De-Zhang Liao, Chang-Dong Wang:
BiMuF: a bi-directional recommender system with multi-semantic filter for online recruitment. 1751-1776 - Faiza Mumtaz, Ali Imran Jehangiri, Waqar Ishaq, Zulfiqar Ahmad, Omar Imhemed Alramli, Mohammed Ala'Anzy, Rania M. Ghoniem:
Quality of interaction-based predictive model for support of online learning in pandemic situations. 1777-1805 - Markus Hafner, Miguel Mira da Silva:
Towards a taxonomy for business capabilities determining data value. 1807-1831 - Shangzhi Wu, Litai Wang, Shuyue Ge, Zhengwei Hao, Yulin Liu:
Neighborhood rough set with neighborhood equivalence relation for feature selection. 1833-1859 - Jixue Liu, Jiuyong Li, Lin Liu, Thuc Duy Le, Feiyue Ye, Gefei Li:
Fairmod: making predictions fair in multiple protected attributes. 1861-1884 - Sheo Yon Jhin, Heejoo Shin, Sujie Kim, Seoyoung Hong, Minju Jo, Solhee Park, Noseong Park, Seungbeom Lee, Hwiyoung Maeng, Seungmin Jeon:
Attentive neural controlled differential equations for time-series classification and forecasting. 1885-1915 - Giulia Preti, Gianmarco De Francisci Morales, Matteo Riondato:
Alice and the Caterpillar: A more descriptive null model for assessing data mining results. 1917-1954 - Fariq Rahmat, Zed Zulkafli, Asnor Juraiza Ishak, Ribhan Zafira Abdul Rahman, Simon De Stercke, Wouter Buytaert, Wardah Tahir, Jamalludin Ab Rahman, Salwa Ibrahim, Muhamad Ismail:
Supervised feature selection using principal component analysis. 1955-1995 - M. Bhanumathi, B. Arthi:
FishRNFuseNET: development of heuristic-derived recurrent neural network with feature fusion strategy for fish species classification. 1997-2038 - Ature Angbera, Huah Yong Chan:
SABeDM: a sliding adaptive beta distribution model for concept drift detection in a dynamic environment. 2039-2062 - Vincenzo Norman Vitale, Sergio Di Martino, Adriano Peron, Massimiliano Russo, Ermanno Battista:
How to manage massive spatiotemporal dataset from stationary and non-stationary sensors in commercial DBMS? 2063-2088 - Cheng Liu, Chenhuan Yu, Ning Gui, Zhiwu Yu, Songgaojun Deng:
SimGCL: graph contrastive learning by finding homophily in heterophily. 2089-2114 - Yihong Zhang, Takahiro Hara:
Joint knowledge graph approach for event participant prediction with social media retweeting. 2115-2133 - Rama Ranjan Panda, Naresh Kumar Nagwani:
Software bug priority prediction technique based on intuitionistic fuzzy representation and class imbalance learning. 2135-2164 - Yael Amsterdamer, Yehuda Callen:
Interactive SPARQL query formulation using provenance. 2165-2191 - Zhenqiang Su, Gang Gou:
Knowledge enhancement and scene understanding for knowledge-based visual question answering. 2193-2208 - Chen-ju Lin, Florence Leony:
Evidence-based adaptive oversampling algorithm for imbalanced classification. 2209-2233
Volume 66, Number 4, April 2024
- Faiza Qamar, Seemab Latif, Asad Shah:
Techniques, datasets, evaluation metrics and future directions of a question answering system. 2235-2268 - D. Karthikeyan, P. Baskaran, Somasundaram S. K, K. Sathya, S. Srithar:
Smart COVIDNet: designing an IoT-based COVID-19 disease prediction framework using attentive and adaptive-derived ensemble deep learning. 2269-2305 - Peng Tang, Cheng Xie, Haoran Duan:
Node and edge dual-masked self-supervised graph representation. 2307-2326 - Neha Agarwal, Geeta Sikka, Lalit Kumar Awasthi:
Integrating semantic similarity with Dirichlet multinomial mixture model for enhanced web service clustering. 2327-2353 - Ang Li, Meng Han, Dongliang Mu, Zhihui Gao, Shujuan Liu:
Online active learning method for multi-class imbalanced data stream. 2355-2391 - Luca Pasa, Nicolò Navarin, Wolfgang Erb, Alessandro Sperduti:
A unified framework for backpropagation-free soft and hard gated graph neural networks. 2393-2416 - Ángel Carmona-Poyato, Nicolás Luis Fernández García, Francisco José Madrid-Cuevas, Rafael Muñoz-Salinas, Francisco José Romero-Ramírez:
Optimal online time-series segmentation. 2417-2438 - Mingjie Wang, Siyuan Wang, Jianxiong Guo, Weijia Jia:
Improving stock trend prediction with pretrain multi-granularity denoising contrastive learning. 2439-2466 - Swathi Agarwal, C. R. K. Reddy:
A smart intelligent approach based on hybrid group search and pelican optimization algorithm for data stream clustering. 2467-2500 - Mekala Ramasamy, Mohanraj Elangovan:
Optimized neural attention mechanism for aspect-based sentiment analysis framework with optimal polarity-based weighted features. 2501-2535 - Noha Ahmed Bayomy, Ayman E. Khedr, Laila A. Abd-Elmegid:
A configurable mining approach for enhancing the business processes' performance. 2537-2560 - Yongquan Yang:
Logical assessment formula and its principles for evaluations with inaccurate ground-truth labels. 2561-2573 - Simona-Vasilica Oprea, Adela Bâra:
On-grid and off-grid photovoltaic systems forecasting using a hybrid meta-learning method. 2575-2606 - Zahraa Hazim Obaid, Behzad Mirzaei, Ali Darroudi:
An efficient automatic modulation recognition using time-frequency information based on hybrid deep learning and bagging approach. 2607-2624 - Miaomiao Liu, Jinyun Yang, Jingfeng Guo, Jing Chen:
A label propagation community discovery algorithm combining seed node influence and neighborhood similarity. 2625-2649 - Donghui Shi, Zhigang Li, Jozef M. Zurada, Andrew S. Manikas, Jian Guan, Pawel Weichbroth:
Ontology-based text convolution neural network (TextCNN) for prediction of construction accidents. 2651-2681 - Li Duan, Jing Wang, Bing Luo, Qiao Sun:
Simple knowledge graph completion model based on PU learning and prompt learning. 2683-2697
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