Journal of Intelligent Information Systems

Papers
(The median citation count of Journal of Intelligent Information Systems is 3. 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
Leveraging neighborhood and path information for influential spreaders recognition in complex networks30
MYRTO: An efficient pervasive method for hybrid ML-based data filtered allocations30
Deep learning approaches to lexical simplification: A survey30
Exploring rich structure information for aspect-based sentiment classification29
MF-EDNet: predicting stock market sector indices based on multi-feature fusion under emergency events28
TempRAA: temporal relation-aware alignment for enhancing LLMs reasoning in time-sensitive knowledge graph question answering28
TCM_DiffPR: knowledge graph diffusion model for personalized traditional Chinese medicine recommendation27
Framework for grouping local process models27
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
A hybrid location-based recommender system for trip planning and mobility using geo-tagged media21
An image and text-based multimodal model for detecting fake news in OSN’s21
Improving the clarity of questions in Community Question Answering networks20
Bi-knowledge views recommendation based on user-oriented contrastive learning20
Casting criminals: a framework for evaluating demographic bias in AI-generated narratives20
Fine-tuning LLMs for answer set programming19
Sentiment analysis of twitter data to detect and predict political leniency using natural language processing19
A novel technique using graph neural networks and relevance scoring to improve the performance of knowledge graph-based question answering systems19
Multi-task learning for toxic comment classification and rationale extraction18
The more "similar" the happier: Augmenting text using similarity scoring with neural embeddings for happiness classification18
3T-IEC*: a context-aware recommender system architecture for smart social networks (EBSN and SBSN)17
Multi-class classification of COVID-19 documents using machine learning algorithms17
FedGR: Cross-platform federated group recommendation system with hypergraph neural networks16
Transformer based multilingual joint learning framework for code-mixed and english sentiment analysis15
Leveraging knowledge graphs and LLMs for content-based reviewer assignment15
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
Integrating control-theoretic predictive deep learning for resource-efficient computing systems14
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
Unveiling Sustainable Agriculture: An Ensemble Approach for Precision Crop and Fertilizer Recommendation with Local Interpretable Model-Agnostic Explanations13
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
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
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
Audio super-resolution via vision transformer11
Evidence selection via multi-aspect query diversification for cross-document relation extraction11
MFLP: Overlapping community detection by multi-level fast label propagation11
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
Physics-guided approach with transfer learning in vehicle lateral dynamics10
GNNRec: gated graph neural network for session-based social recommendation model10
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
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
Improving graph collaborative filtering with view explorer for social recommendation8
Graph attention networks with adaptive neighbor graph aggregation for cold-start recommendation8
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
Cross-distillation-based approach for detecting poisoning attacks in recommender systems7
SKT-SQL: multi-decoupling and skeleton prompt framework for text-to-SQL on small-scale LMs7
A transformer-based framework for predicting geomagnetic indices with uncertainty quantification7
Model-based decision support for knowledge-intensive processes7
A contextual-bandit approach for multifaceted reciprocal recommendations in online dating7
Identifying influential nodes using semi local isolating centrality based on average shortest path7
Handling concept drifts with traditional process discovery algorithms7
Tiramisù: making sense of multi-faceted process information through time and space7
Redefining edge representations for enhanced information propagation on GNNs7
Distance-based change point detection for novelty detection in concept-agnostic continual anomaly detection7
Tensor decomposition based lightweight residual fusion for Multimodal sentiment understanding7
Frequency-aware experts with multi-stage fusion for multimodal sentiment analysis7
Semantic-enhanced reasoning question answering over temporal knowledge graphs7
Tell me what you Like: introducing natural language preference elicitation strategies in a virtual assistant for the movie domain6
Evidence-driven appraisal of students’ careers using process mining: a case study6
FPGA supported rough set reduct calculation for big datasets6
Hybrid transformer-based recommender system for political news6
Temporal knowledge completion enhanced self-supervised entity alignment6
SCMI-Net: Semantic constraints and modal interaction network for multimodal emotion recognition6
Adaptive multi-round retrieval with knowledge distillation for sequential recommendation6
Modeling and querying temporal RDF knowledge graphs with relational databases6
Finding a needle in a haystack: insights on feature selection for classification tasks6
Editorial: recent advances in process analytics6
Benchmarking fairness-aware recommender systems from matrix factorization to graph-based models6
Expanding Normalized Systems from textual domain descriptions using TEMOS6
Textual and structural dual enhancement for knowledge graph completion with large language models6
RERS: A real‑time emotion‑aware recommender system for sustainable and eco‑friendly driving6
Improved machine learning technique for feature reduction and its application in spam email detection6
Dynamic memory-enhanced federated learning framework with trusted computing for multi-source data analysis6
A local dynamic propagation graph-based method for multi-modal fake news detection6
T-shaped expert mining: a novel approach based on skill translation and focal loss6
Heuristic approaches for non-exhaustive pattern-based change detection in dynamic networks6
Enhancing E-learning effectiveness: a process mining approach for short-term tutorials5
Meta learning-based relevant user identification and aggregation for cold-start recommendation5
An interpretable model for sepsis prediction using multi-objective rule extraction5
Generalized durative event detection on social media5
EMRDCM : An experience-enhanced multi-role debate method based on compromise mechanisms5
DTDiff: adaptive decoupled transformer with language-conditioned denoising learning for multimodal emotion recognition in conversation5
Learning recommendations from educational event data in higher education5
MMusic: a hierarchical multi-information fusion method for deep music recommendation5
Efficient approximate top-k mutual information based feature selection5
Correction to: Deep learning based sentiment analysis of public perception of working from home through tweets5
Towards a soft three-level voting model (Soft T-LVM) for fake news detection5
Machine learning approaches to predict the execution time of the meteorological simulation software COSMO5
PolyCard: A learned cardinality estimator for intersection queries on spatial polygons5
Histograms as tools for mining actionable knowledge – principles and examples5
Dynamic feedback loops in recommender systems: Analyzing fairness, popularity bias, and user group disparities5
Prediction of customer’s perception in social networks by integrating sentiment analysis and machine learning5
Generating textual explanations for scheduling systems leveraging the reasoning capabilities of large language models5
A multi-objective optimization approach for session-based recommendation systems5
Effect of attention and triplet loss on chart classification: a study on noisy charts and confusing chart pairs5
A deep recommendation model based on semantic information and correlation between items5
GCN-diffusion and multi-view contrastive learning for enhanced knowledge recommendation5
A novel approach for software defect prediction using CNN and GRU based on SMOTE Tomek method4
Interpretable methods for personalized recommendation of traditional chinese medicine4
Session-aware recommender system using double deep reinforcement learning4
A generic approach to extract object-centric event data from databases supporting SAP ERP4
Neural network translations for building SentiWordNets4
Gotta embed them all! - knowledge-aware recommendations fusing heterogeneous multimodal item embeddings4
Editorial: AI meets cybersecurity4
A knowledge-enhanced interactive graph convolutional network for aspect-based sentiment analysis4
ELECTRA-based graph network model for multi-hop question answering4
Revisiting cognitive process-driven model with sentiment-infused user preference for recommendation4
Performance-preserving event log sampling for predictive monitoring4
Enhancing recommendation systems for sustainability: a two-phase approach with Hesitant Fuzzy clustering and adaptive association rule mining4
Exploring the trie of rules: a fast data structure for the representation of association rules4
A context-aware unsupervised predictive maintenance solution for fleet management4
D-DPDG: Diffusion-based dual-graph attention with dual-path feature extraction for multimodal recommendation4
Predicting residents’ travel mode choice based on MAML4
Towards scalable action rule discovery: a structured vertical partitioning method4
Semi-supervised and ensemble learning to predict work-related stress4
Sentiment lexicon integrated meta-training for sentiment analysis in data-scarce settings4
A mutually enhanced multi-scale relation-aware graph convolutional network for argument pair extraction4
A retrieval model with contextual correlation analysis for verbose queries3
A distantly supervised approach for enriching product graphs with user opinions3
MLGAT: multi-layer graph attention networks for multimodal emotion recognition in conversations3
Early detection of fake news on emerging topics through weak supervision3
Quantification of part-of-speech relationships for aspect sentiment triplet extraction3
Offensive language identification with multi-task learning3
Data-Centric AI3
ERABQS: entity resolution based on active machine learning and balancing query strategy3
Detecting COVID-19 vaccine hesitancy in India: a multimodal transformer based approach3
Semantic-aware fake news detection with heterogeneous graph attention3
Information gain based dynamic support set construction for cold-start recommendation3
AlignGenRec: Aligning collaborative and textual knowledge for llm-based generative recommendation3
Learning constraint orderings for direct diagnosis3
A distantly supervised approach for recognizing product mentions in user-generated content3
Structure-activated and interest-aware multimodal recommendation method3
Reinforcement negative sampling recommendation based on collaborative knowledge graph3
TuckerDNCaching: high-quality negative sampling with tucker decomposition3
Generative adversarial meta-learning knowledge graph completion for large-scale complex knowledge graphs3
Parameters tuning of multi-model database based on deep reinforcement learning3
0.3503429889679