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ORCIDJournal of Intelligent Information Systems, Volume 62
Volume 62, Number 1, February 2024
- Shih-Han Chen, Sok-Ian Sou, Hsun-Ping Hsieh
:
Top-N music recommendation framework for precision and novelty under diversity group size and similarity. 1-26 - Roberto Corizzo, Jacob Rosen:
Stock market prediction with time series data and news headlines: a stacking ensemble approach. 27-56 - Xiaoyu Hou, Guobing Zou, Bofeng Zhang, Sen Niu:
Deep latent representation enhancement method for social recommendation. 57-75 - Fátima Rodrigues, Hugo Correia:
Semi-supervised and ensemble learning to predict work-related stress. 77-90 - Xuefeng Shi, Min Hu, Fuji Ren, Piao Shi, Jiawen Deng, Yiming Tang:
Prompted and integrated textual information enhancing aspect-based sentiment analysis. 91-115 - Marcos Fernández-Pichel, Mario Ezra Aragón, Julián Saborido-Patiño, David E. Losada:
Personality trait analysis during the COVID-19 pandemic: a comparative study on social media. 117-142 - Shan Lei, Huanhuan Yuan, Pengpeng Zhao, Jianfeng Qu, Junhua Fang, Guanfeng Liu, Victor S. Sheng:
Improving graph collaborative filtering with multimodal-side-information-enriched contrastive learning. 143-161 - Jialin Feng, Hong Li, Zhiyi Yu:
Enhancing aspect-based sentiment analysis with dependency-attention GCN and mutual assistance mechanism. 163-189 - Lingyun Jin, Jingqiang Chen:
Self-supervised opinion summarization with multi-modal knowledge graph. 191-208 - Qianqian Qi, David J. Hessen, Peter G. M. van der Heijden:
Improving information retrieval through correspondence analysis instead of latent semantic analysis. 209-230 - Mamta, Asif Ekbal:
Transformer based multilingual joint learning framework for code-mixed and english sentiment analysis. 231-253 - Yuqiang Li, Jianxiang Long, Chun Liu:
Global-mirror graph network for session-based recommendation. 255-272 - Lucia Siciliani, Eleonora Ghizzota, Pierpaolo Basile, Pasquale Lops:
OIE4PA: open information extraction for the public administration. 273-294
Volume 62, Number 2, April 2024
- Jan Slifka, Vojtech Knaisl, Robert Pergl:
Evolvable transformation of knowledge graphs into human-oriented formats. 295-316 - Xiongtao Zhang, Mingxin Gan:
C-GDN: core features activated graph dual-attention network for personalized recommendation. 317-338 - Chen Bai, Mohammad Al-Ani, Shawna Amini, Patrick James Tighe, Catherine C. Price, Todd M. Manini, Mamoun T. Mardini:
Developing and validating an electronic health record-based frailty index in pre-operative settings using machine learning. 339-354 - U. Shivani Sri Varshini, Rayanoothala Praneetha Sree, M. Srinivas, R. B. V. Subramanyam:
I-S2FND: a novel interpretable self-ensembled semi-supervised model based on transformers for fake news detection. 355-375 - Aman Ullah, Jinfang Sheng, Bin Wang, Salah Ud Din, Nasrullah Khan:
Leveraging neighborhood and path information for influential spreaders recognition in complex networks. 377-401 - Purnima Khurana, Bhavna Gupta, Ravish Sharma, Punam Bedi:
Session-aware recommender system using double deep reinforcement learning. 403-429 - Petr Mása, Jan Rauch:
A novel algorithm for mining couples of enhanced association rules based on the number of output couples and its application. 431-458 - Laura Morán-Fernández, Verónica Bolón-Canedo:
Finding a needle in a haystack: insights on feature selection for classification tasks. 459-483 - Aohua Gao, Jiwei Qin, Chao Ma, Tao Wang:
BMDF-SR: bidirectional multi-sequence decoupling fusion method for sequential recommendation. 485-507 - Shivam Gupta, Kirandeep Kaur, Shweta Jain:
EqBal-RS: Mitigating popularity bias in recommender systems. 509-534 - Zohreh Fallahnejad, Mahmood Karimian, Fatemeh Lashkari, Hamid Beigy:
T-shaped expert mining: a novel approach based on skill translation and focal loss. 535-554 - Xiaofei Zhu, Yidan Liu, Zhuo Chen, Xu Chen, Jiafeng Guo, Stefan Dietze:
A mutually enhanced multi-scale relation-aware graph convolutional network for argument pair extraction. 555-574 - Cataldo Musto, Alessandro Francesco Maria Martina, Andrea Iovine, Fedelucio Narducci, Marco de Gemmis, Giovanni Semeraro:
Tell me what you Like: introducing natural language preference elicitation strategies in a virtual assistant for the movie domain. 575-599
Volume 62, Number 3, June 2024
- Marimuthu Karuppiah, Shehzad Ashraf Chaudhry, Mohammed H. Alsharif:
Scalable computing for large-scale multimedia data analytics. 601-603 - Jiaqi Li:
Frequency roughness analysis in image processing and game design. 605-624 - Yan Li, Jieli Zhang:
Classroom teaching of tourism management using multimedia big data analysis. 625-640 - Dilli Babu Salvakkam, Rajendra Pamula:
Design of fully homomorphic multikey encryption scheme for secured cloud access and storage environment. 641-663 - Jie Zhao, Taotang Liu, Shuping Li:
Scalable computer interactive education system based on large-scale multimedia data analysis. 665-682 - Mohammad Farukh Hashmi, Eskinder Ayele, Banoth Thulasya Naik, Avinash G. Keskar:
A parallel computing framework for real-time moving object detection on high resolution videos. 683-704 - Vincenzo Pasquadibisceglie, Annalisa Appice, Giuseppe Ieva, Donato Malerba:
TSUNAMI - an explainable PPM approach for customer churn prediction in evolving retail data environments. 705-733 - Gitanjali Kumari, Anubhav Sinha, Asif Ekbal, Arindam Chatterjee, Vinutha B. N.:
Enhancing the fairness of offensive memes detection models by mitigating unintended political bias. 735-763 - V. V. Sai Kowsik, L. Yashwanth, Srivatsan Harish, A. Kishore, Renji S, Arun Cyril Jose, M. V. Dhanyamol:
Sentiment analysis of twitter data to detect and predict political leniency using natural language processing. 765-785 - Vito Bellini, Eugenio Di Sciascio, Francesco Maria Donini, Claudio Pomo, Azzurra Ragone, Angelo Schiavone:
A qualitative analysis of knowledge graphs in recommendation scenarios through semantics-aware autoencoders. 787-807 - Sincy V. Thambi, P. C. Reghu Raj:
A novel technique using graph neural networks and relevance scoring to improve the performance of knowledge graph-based question answering systems. 809-832 - Aizan Zafar, Sovan Kumar Sahoo, Deeksha Varshney, Amitava Das, Asif Ekbal:
KIMedQA: towards building knowledge-enhanced medical QA models. 833-858 - Chenyang Du, Xiaoge Li, Zhongyang Li:
Semantic-enhanced reasoning question answering over temporal knowledge graphs. 859-881
Volume 62, Number 4, August 2024
- Michelangelo Ceci, Sergio Flesca, Giuseppe Manco, Elio Masciari:
Special issue on intelligent systems. 883-886 - Yasser Abduallah, Jason T. L. Wang, Haimin Wang, Ju Jing:
A transformer-based framework for predicting geomagnetic indices with uncertainty quantification. 887-903 - Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina:
Enhancing anomaly detectors with LatentOut. 905-923 - Nunziato Cassavia, Luca Caviglione, Massimo Guarascio, Angelica Liguori, Marco Zuppelli:
Learning autoencoder ensembles for detecting malware hidden communications in IoT ecosystems. 925-949 - Alfredo Cuzzocrea, Alessandro Baldo, Edoardo Fadda:
A bayesian-neural-networks framework for scaling posterior distributions over different-curation datasets. 951-969 - Hugo Deléglise, Agnès Bégué, Roberto Interdonato, Elodie Maître d'Hôtel, Mathieu Roche, Maguelonne Teisseire:
How can text mining improve the explainability of Food security situations? 971-994 - Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri:
Data- & compute-efficient deviance mining via active learning and fast ensembles. 995-1019 - Massimo Guarascio, Marco Minici, Francesco Sergio Pisani, Erika De Francesco, Pasquale Lambardi:
Movie tag prediction: An extreme multi-label multi-modal transformer-based solution with explanation. 1021-1043 - Muhamet Kastrati, Zenun Kastrati, Ali Shariq Imran, Marenglen Biba:
Leveraging distant supervision and deep learning for twitter sentiment and emotion classification. 1045-1070 - Simona Nisticò, Luigi Palopoli, Adele Pia Romano:
Audio super-resolution via vision transformer. 1071-1085 - Kenniy Olorunnimbe, Herna L. Viktor:
Ensemble of temporal Transformers for financial time series. 1087-1111 - Malvika Pillai, Chao Chin Liu, Elizabeth Kwong, Ian Kratzke, Nadia Charguia, Lukasz Mazur, Karthik Adapa:
Using an explainable machine learning approach to prioritize factors contributing to healthcare professionals' burnout. 1113-1124 - Alexander Felfernig, Manfred Wundara, Thi Ngoc Trang Tran, Viet-Man Le, Sebastian Lubos, Seda Polat Erdeniz:
Sports recommender systems: overview and research directions. 1125-1164
Volume 62, Number 5, October 2024
- Akritas Akritidis, Yannis Tzitzikas:
Querying knowledge graphs through positive and negative examples and feedback. 1165-1186 - Yubin Wang, Hongbin Xia, Yuan Liu:
CMC-MMR: multi-modal recommendation model with cross-modal correction. 1187-1211 - Divya Kumari, Asif Ekbal:
Enhancing sentiment and emotion translation of review text through MLM knowledge integration in NMT. 1213-1237 - Tianchi Tong, Min Wang, Wenying Yuan, Qian Dong, Jinsheng Sun, Yuan Jiang:
A hybrid recognition framework of crucial seed spreaders in complex networks with neighborhood overlap. 1239-1262 - Serhat Hakki Akdag, Nihan Kesim Cicekli:
Early detection of fake news on emerging topics through weak supervision. 1263-1284 - Hossein Hajibabaei, Vahid Seydi, Abbas Koochari:
A motif-based probabilistic approach for community detection in complex networks. 1285-1303 - Long Kang, Xiaoge Li, Xiaochun An:
Knowledge-aware adaptive graph network for commonsense question answering. 1305-1324 - Shrikant Saxena, Shweta Jain:
Exploring and mitigating gender bias in book recommender systems with explicit feedback. 1325-1346 - Mourad Jabrane, Hiba Tabbaa, Yassir Rochd, Imad Hafidi:
ERABQS: entity resolution based on active machine learning and balancing query strategy. 1347-1373 - Weiwen Zhang, Canqun Yang:
Relation representation based on private and shared features for adaptive few-shot link prediction. 1375-1401 - Mingzhou Chen, Jiazhen Huo, Yongrui Duan:
An interpretable model for sepsis prediction using multi-objective rule extraction. 1403-1429 - Wajeeha Nasar, Ricardo da Silva Torres, Odd Erik Gundersen, Anniken Susanne Thoresen Karlsen:
Improving search and rescue planning and resource allocation through case-based and concept-based retrieval. 1431-1453 - Corrado Loglisci, Angelo Impedovo, Toon Calders, Michelangelo Ceci:
Heuristic approaches for non-exhaustive pattern-based change detection in dynamic networks. 1455-1492
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