Journal of Intelligent Information Systems

Papers
(The TQCC of Journal of Intelligent Information Systems is 7. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-05-01 to 2026-05-01.)
ArticleCitations
A semiautomatic method for obtaining a predictive deep learning model and a rule-based system for abdominal aortic aneurysms101
MhSa-GRU: combining user’s dynamic preferences and items’ correlation to augment sequence recommendation74
FinSent-DistillQ: A distilled large language model with chain-of-thought fine-tuning for financial sentiment analysis56
Persuasive explanations for path reasoning recommendations55
News dissemination: a semantic approach to barrier classification52
Correction to: Evaluating user story quality with LLMs: a comparative study50
CMKF:Multimodal emotion recognition in conversations based on CoMamba and KAN-Fuse49
On the performance of large language models on introductory programming assignments47
Entity-aware answer sentence selection for question answering with transformer-based language models39
Explaining the impact of design choices on model quality in predictive process monitoring34
MYRTO: An efficient pervasive method for hybrid ML-based data filtered allocations30
Deep learning approaches to lexical simplification: A survey30
Leveraging neighborhood and path information for influential spreaders recognition in complex networks30
Exploring rich structure information for aspect-based sentiment classification29
TempRAA: temporal relation-aware alignment for enhancing LLMs reasoning in time-sensitive knowledge graph question answering28
MF-EDNet: predicting stock market sector indices based on multi-feature fusion under emergency events28
Framework for grouping local process models27
TCM_DiffPR: knowledge graph diffusion model for personalized traditional Chinese medicine recommendation27
Temporal knowledge graph completion based on product space and contrastive learning of commonsense26
Generation method of suspense stories based on new-type inference25
LLIMONIIE: Large Language Instructed Model for Open Named Italian Information Extraction24
Clustering of renewable energy assets to optimize resource allocation and operational strategies23
An image and text-based multimodal model for detecting fake news in OSN’s21
A hybrid location-based recommender system for trip planning and mobility using geo-tagged media21
Casting criminals: a framework for evaluating demographic bias in AI-generated narratives20
Improving the clarity of questions in Community Question Answering networks20
Bi-knowledge views recommendation based on user-oriented contrastive learning20
A novel technique using graph neural networks and relevance scoring to improve the performance of knowledge graph-based question answering systems19
Fine-tuning LLMs for answer set programming19
Sentiment analysis of twitter data to detect and predict political leniency using natural language processing19
The more "similar" the happier: Augmenting text using similarity scoring with neural embeddings for happiness classification18
Multi-task learning for toxic comment classification and rationale extraction18
Multi-class classification of COVID-19 documents using machine learning algorithms17
3T-IEC*: a context-aware recommender system architecture for smart social networks (EBSN and SBSN)17
FedGR: Cross-platform federated group recommendation system with hypergraph neural networks16
Conversing with business process-aware large language models: the BPLLM framework15
Research on telecom customer churn prediction based on ensemble learning15
Multi-level language interaction transformer for multimodal sentiment analysis15
Learning resource recommendation models based on learning behaviors and hierarchical structure graph15
Transformer based multilingual joint learning framework for code-mixed and english sentiment analysis15
Leveraging knowledge graphs and LLMs for content-based reviewer assignment15
Leveraging large language models, graph neural networks, and explainable AI for revolutionizing the next-generation network intrusion detection systems14
Group event recommendation based on a heterogeneous attribute graph considering long- and short- term preferences14
RGDF: a structure-aware lightweight fusion for efficient and accurate knowledge graph completion14
SESAME - self-supervised framework for extractive question answering over document collections14
Integrating control-theoretic predictive deep learning for resource-efficient computing systems14
Benchmarking state of the art website embedding methods for effective processing and analysis in the public sector13
Leveraging distant supervision and deep learning for twitter sentiment and emotion classification13
Unveiling Sustainable Agriculture: An Ensemble Approach for Precision Crop and Fertilizer Recommendation with Local Interpretable Model-Agnostic Explanations13
Computing semantic similarity of texts by utilizing dependency graph12
Machine learning methods for predicting the admissions and hospitalisations in the emergency department of a civil and military hospital12
Dual-view embedding for hyper-relational knowledge graphs with hierarchical structure12
Detecting bipolar disorder on social media by post grouping and interpretable deep learning12
EST transformer: enhanced spatiotemporal representation learning for time series anomaly detection12
Ensemble time series models for stock price prediction and portfolio optimization with sentiment analysis12
An optimizer derived from Halpern’s method for enhanced neural network convergence and reduced carbon emissions12
Context-aware chatbot for personal healthcare assistance using LLMs and LangChain12
MFLP: Overlapping community detection by multi-level fast label propagation11
Audio super-resolution via vision transformer11
Evidence selection via multi-aspect query diversification for cross-document relation extraction11
Physics-guided approach with transfer learning in vehicle lateral dynamics10
GNNRec: gated graph neural network for session-based social recommendation model10
Customer churn prediction for a webcast platform via a voting-based ensemble learning model with Nelder-Mead optimizer10
BMDF-SR: bidirectional multi-sequence decoupling fusion method for sequential recommendation10
Data- & compute-efficient deviance mining via active learning and fast ensembles10
DoWTS – Denial-of-Wallet Test Simulator: Synthetic data generation for preemptive defence10
A data-driven situation-aware framework for predictive analysis in smart environments9
Word embedding for mixed-emotions analysis9
MaMiPot: a paradigm shift for the classification of imbalanced data9
TransEdge: a lightweight transformer-based anomaly detection framework for edge devices9
KQFV: a knowledge-enhanced method using question answering for fact verification9
Enhancing SQL generation through high-quality logical guidance9
A resistance distance approach to community detection in complex networks with key node identification9
Design of fully homomorphic multikey encryption scheme for secured cloud access and storage environment8
Two-stage sequential recommendation for side information fusion and long-term and short-term preferences modeling8
FactualRAG: a RAG-Powered framework for LLM fact-checking via IFCN-Accredited sources8
Stock price nowcasting and forecasting with deep learning8
Active learning for LLM-based recommender systems8
Special issue on intelligent systems, ISMIS’24 selected papers8
Improving graph collaborative filtering with view explorer for social recommendation8
Graph attention networks with adaptive neighbor graph aggregation for cold-start recommendation8
Tiramisù: making sense of multi-faceted process information through time and space7
Distance-based change point detection for novelty detection in concept-agnostic continual anomaly detection7
Redefining edge representations for enhanced information propagation on GNNs7
Tensor decomposition based lightweight residual fusion for Multimodal sentiment understanding7
Cross-distillation-based approach for detecting poisoning attacks in recommender systems7
Frequency-aware experts with multi-stage fusion for multimodal sentiment analysis7
SKT-SQL: multi-decoupling and skeleton prompt framework for text-to-SQL on small-scale LMs7
Semantic-enhanced reasoning question answering over temporal knowledge graphs7
A transformer-based framework for predicting geomagnetic indices with uncertainty quantification7
Identifying influential nodes using semi local isolating centrality based on average shortest path7
Model-based decision support for knowledge-intensive processes7
Handling concept drifts with traditional process discovery algorithms7
A contextual-bandit approach for multifaceted reciprocal recommendations in online dating7
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