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ORCIDJournal of Intelligent Information Systems, Volume 61
Volume 61, Number 1, August 2023
- Paolo Ceravolo, Claudio Di Ciccio, Chiara Di Francescomarino, María Teresa Gómez-López, Fabrizio Maria Maggi, Renuka Sindhgatta:
Editorial: recent advances in process analytics. 1-3 - Andrea Chiorrini, Claudia Diamantini, Laura Genga, Domenico Potena:
Multi-perspective enriched instance graphs for next activity prediction through graph neural network. 5-25 - Jari Peeperkorn
, Seppe vanden Broucke, Jochen De Weerdt:
Can recurrent neural networks learn process model structure? 27-51 - Mohammadreza Fani Sani, Mozhgan Vazifehdoostirani, Gyunam Park, Marco Pegoraro, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
Performance-preserving event log sampling for predictive monitoring. 53-82 - Lukas Malburg, Maximilian Hoffmann, Ralph Bergmann:
Applying MAPE-K control loops for adaptive workflow management in smart factories. 83-111 - Luciana Barbieri, Edmundo R. M. Madeira, Kleber Stroeh, Wil M. P. van der Aalst:
A natural language querying interface for process mining. 113-142 - Anjo Seidel, Stephan Haarmann, Mathias Weske:
Model-based decision support for knowledge-intensive processes. 143-165 - Feng Ye, Yang Li, Xiwen Wang, Nadia Nedjah, Peng Zhang, Hong Shi:
Parameters tuning of multi-model database based on deep reinforcement learning. 167-190 - Md. Abdus Salam, Senjuti Basu Roy, Gautam Das:
Efficient approximate top-k mutual information based feature selection. 191-223 - Yongrui Duan, Peng Liu, Yusheng Lu:
MhSa-GRU: combining user's dynamic preferences and items' correlation to augment sequence recommendation. 225-248 - Boutheina Jlifi, Chayma Sakrani, Claude Duvallet:
Towards a soft three-level voting model (Soft T-LVM) for fake news detection. 249-269 - Xiaobin Deng, Guoqiong Liao, Yiwan Zeng:
Group event recommendation based on a heterogeneous attribute graph considering long- and short- term preferences. 271-297 - Hossein Ghaderi Zefrehi, Hakan Altinçay:
MaMiPot: a paradigm shift for the classification of imbalanced data. 299-324
Volume 61, Number 2, October 2023
- Feng Xie, Jingqiang Chen, Kejia Chen:
Extractive text-image summarization with relation-enhanced graph attention network. 325-341 - Yujie Wan, Yuzhong Chen, Liyuan Shi, Lvmin Liu:
A knowledge-enhanced interactive graph convolutional network for aspect-based sentiment analysis. 343-365 - Santosh Kumar Uppada, Parth Patel, Sivaselvan B.:
An image and text-based multimodal model for detecting fake news in OSN's. 367-393 - Pengfei Yu, Wenan Tan, Weinan Niu, Bing Shi:
Aspect-location attention networks for aspect-category sentiment analysis in social media. 395-419 - Majid Mohebbi, Seyed Naser Razavi, Mohammad Ali Balafar:
Computing semantic similarity of texts by utilizing dependency graph. 421-452 - Guilherme Dal Bianco, Denio Duarte, Marcos André Gonçalves:
Reducing the user labeling effort in effective high recall tasks by fine-tuning active learning. 453-472 - Aaryan Gupta, Inder Khatri, Arjun Choudhry, Sanjay Kumar:
MCD: A modified community diversity approach for detecting influential nodes in social networks. 473-495 - Yun Sheng Lin, Liang Kuang Tai, Arbee L. P. Chen:
The detection of mental health conditions by incorporating external knowledge. 497-518 - Marco Casavantes, Mario Ezra Aragón, Luis Carlos González-Gurrola, Manuel Montes-y-Gómez:
Leveraging posts' and authors' metadata to spot several forms of abusive comments in Twitter. 519-539 - Filippo Lorè, Pierpaolo Basile, Annalisa Appice, Marco de Gemmis, Donato Malerba, Giovanni Semeraro:
An AI framework to support decisions on GDPR compliance. 541-568 - Ruizhe Ma, Xiao Han, Li Yan, Nasrullah Khan, Zong Min Ma:
Modeling and querying temporal RDF knowledge graphs with relational databases. 569-609 - Yi Liu, Hongrui Xuan, Bohan Li:
Bi-knowledge views recommendation based on user-oriented contrastive learning. 611-630 - Shuaichao Li, Huaiguang Wu:
Transformer-based Denoising Adversarial Variational Entity Resolution. 631-650
Volume 61, Number 3, December 2023
- Alberto Nogales, Fernando Gallardo, Miguel Pajares, Javier Martinez Gamez, José Moreno, Álvaro J. García-Tejedor:
A semiautomatic method for obtaining a predictive deep learning model and a rule-based system for abdominal aortic aneurysms. 651-671 - Rina Kumari, Nischal Ashok, Pawan Kumar Agrawal, Tirthankar Ghosal, Asif Ekbal:
Identifying multimodal misinformation leveraging novelty detection and emotion recognition. 673-694 - Barakat AlBadani, Jian Dong, Ronghua Shi, Raeed Al-Sabri, Dhekra Saeed, Alaa Thobhani:
SMGNN: span-to-span multi-channel graph neural network for aspect-sentiment triplet extraction. 695-715 - Yu Li, Tetsuya Furukawa:
Information gain based dynamic support set construction for cold-start recommendation. 717-737 - Tiroshan Madushanka, Ryutaro Ichise:
TuckerDNCaching: high-quality negative sampling with tucker decomposition. 739-763 - Fabrizio Lo Scudo, Ettore Ritacco, Luciano Caroprese, Giuseppe Manco:
Audio-based anomaly detection on edge devices via self-supervision and spectral analysis. 765-793 - Jing Xu, Mingxin Gan, Xiongtao Zhang:
MMusic: a hierarchical multi-information fusion method for deep music recommendation. 795-818 - Pengxuan Zhu, Yuan Yuan, Lei Chen:
ELECTRA-based graph network model for multi-hop question answering. 819-834 - Alessandro Berti, Gyunam Park, Majid Rafiei, Wil M. P. van der Aalst:
A generic approach to extract object-centric event data from databases supporting SAP ERP. 835-857 - Kani Fu, Guiyang Zheng, Wei Xie:
Customer churn prediction for a webcast platform via a voting-based ensemble learning model with Nelder-Mead optimizer. 859-879 - Hugo Álvarez-Chaves, Pablo Muñoz, María D. R.-Moreno:
Machine learning methods for predicting the admissions and hospitalisations in the emergency department of a civil and military hospital. 881-900 - Taurai Muvunza, Yang Li:
Session-based recommendation with temporal dynamics for large volunteer networks. 901-922 - Hashan Ratnayake, Lin Chen, Xiaofeng Ding:
A review of federated learning: taxonomy, privacy and future directions. 923-949
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