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 2022-08-01 to 2026-08-01.)
ArticleCitations
A semiautomatic method for obtaining a predictive deep learning model and a rule-based system for abdominal aortic aneurysms115
Leveraging neighborhood and path information for influential spreaders recognition in complex networks83
Correction to: Evaluating user story quality with LLMs: a comparative study63
News dissemination: a semantic approach to barrier classification60
MhSa-GRU: combining user’s dynamic preferences and items’ correlation to augment sequence recommendation60
CMKF:Multimodal emotion recognition in conversations based on CoMamba and KAN-Fuse53
On the performance of large language models on introductory programming assignments51
Explaining the impact of design choices on model quality in predictive process monitoring47
Persuasive explanations for path reasoning recommendations36
FinSent-DistillQ: A distilled large language model with chain-of-thought fine-tuning for financial sentiment analysis36
TCM_DiffPR: knowledge graph diffusion model for personalized traditional Chinese medicine recommendation33
Generation method of suspense stories based on new-type inference33
MYRTO: An efficient pervasive method for hybrid ML-based data filtered allocations32
MF-EDNet: predicting stock market sector indices based on multi-feature fusion under emergency events31
LLIMONIIE: Large Language Instructed Model for Open Named Italian Information Extraction30
Framework for grouping local process models30
Deep learning approaches to lexical simplification: A survey29
Temporal knowledge graph completion based on product space and contrastive learning of commonsense29
An image and text-based multimodal model for detecting fake news in OSN’s28
Clustering of renewable energy assets to optimize resource allocation and operational strategies28
TempRAA: temporal relation-aware alignment for enhancing LLMs reasoning in time-sensitive knowledge graph question answering28
The more "similar" the happier: Augmenting text using similarity scoring with neural embeddings for happiness classification25
Multi-task learning for toxic comment classification and rationale extraction23
FuDGE: Modeling full dynamic graph evolution23
3T-IEC*: a context-aware recommender system architecture for smart social networks (EBSN and SBSN)22
Fine-tuning LLMs for answer set programming21
Bi-knowledge views recommendation based on user-oriented contrastive learning19
Improving the clarity of questions in Community Question Answering networks19
Sentiment analysis of twitter data to detect and predict political leniency using natural language processing18
A novel technique using graph neural networks and relevance scoring to improve the performance of knowledge graph-based question answering systems18
Casting criminals: a framework for evaluating demographic bias in AI-generated narratives18
Multi-class classification of COVID-19 documents using machine learning algorithms17
A hybrid location-based recommender system for trip planning and mobility using geo-tagged media17
Research on telecom customer churn prediction based on ensemble learning17
Learning resource recommendation models based on learning behaviors and hierarchical structure graph16
Conversing with business process-aware large language models: the BPLLM framework16
Multi-level language interaction transformer for multimodal sentiment analysis16
Leveraging knowledge graphs and LLMs for content-based reviewer assignment16
HHS-RAG: Hierarchical hypergraph retrieval-augmented generation with hyperbolic contrastive learning and subgraph-level decision15
FedGR: Cross-platform federated group recommendation system with hypergraph neural networks15
Leveraging large language models, graph neural networks, and explainable AI for revolutionizing the next-generation network intrusion detection systems15
Transformer based multilingual joint learning framework for code-mixed and english sentiment analysis15
Integrating control-theoretic predictive deep learning for resource-efficient computing systems14
Unveiling Sustainable Agriculture: An Ensemble Approach for Precision Crop and Fertilizer Recommendation with Local Interpretable Model-Agnostic Explanations14
Dual-view embedding for hyper-relational knowledge graphs with hierarchical structure14
SESAME - self-supervised framework for extractive question answering over document collections14
RGDF: a structure-aware lightweight fusion for efficient and accurate knowledge graph completion14
Ensemble time series models for stock price prediction and portfolio optimization with sentiment analysis14
Group event recommendation based on a heterogeneous attribute graph considering long- and short- term preferences14
Computing semantic similarity of texts by utilizing dependency graph14
Leveraging distant supervision and deep learning for twitter sentiment and emotion classification13
Efficient RDF entity summarization using centrality measures13
An optimizer derived from Halpern’s method for enhanced neural network convergence and reduced carbon emissions13
Benchmarking state of the art website embedding methods for effective processing and analysis in the public sector13
Context-aware chatbot for personal healthcare assistance using LLMs and LangChain13
Machine learning methods for predicting the admissions and hospitalisations in the emergency department of a civil and military hospital12
Graphlet-based edge weighting for improved community detection in complex networks12
BMDF-SR: bidirectional multi-sequence decoupling fusion method for sequential recommendation11
Audio super-resolution via vision transformer11
Detecting bipolar disorder on social media by post grouping and interpretable deep learning11
TPLI: Transformation-partitioned learned index for multi-domain key-value stores10
Physics-guided approach with transfer learning in vehicle lateral dynamics10
GNNRec: gated graph neural network for session-based social recommendation model10
Evidence selection via multi-aspect query diversification for cross-document relation extraction10
DiSAM4Rec: distilled and sparsity adaptive Mamba for sequential recommendation10
TransEdge: a lightweight transformer-based anomaly detection framework for edge devices10
Data- & compute-efficient deviance mining via active learning and fast ensembles10
Enhancing SQL generation through high-quality logical guidance10
MFLP: Overlapping community detection by multi-level fast label propagation10
DoWTS – Denial-of-Wallet Test Simulator: Synthetic data generation for preemptive defence9
ILIN: Iteration-Guided Logical Injection Network for complex query answering on knowledge graphs9
MaMiPot: a paradigm shift for the classification of imbalanced data9
Customer churn prediction for a webcast platform via a voting-based ensemble learning model with Nelder-Mead optimizer9
Improving graph collaborative filtering with view explorer for social recommendation9
EST transformer: enhanced spatiotemporal representation learning for time series anomaly detection9
A resistance distance approach to community detection in complex networks with key node identification9
KQFV: a knowledge-enhanced method using question answering for fact verification9
Stock price nowcasting and forecasting with deep learning8
Special issue on intelligent systems, ISMIS’24 selected papers8
Handling concept drifts with traditional process discovery algorithms8
FactualRAG: a RAG-Powered framework for LLM fact-checking via IFCN-Accredited sources8
Graph attention networks with adaptive neighbor graph aggregation for cold-start recommendation8
A transformer-based framework for predicting geomagnetic indices with uncertainty quantification8
Joint modeling of source, target, and context for metaphor sentiment analysis: Dataset and method8
Semantic-enhanced reasoning question answering over temporal knowledge graphs8
SKT-SQL: multi-decoupling and skeleton prompt framework for text-to-SQL on small-scale LMs8
Active learning for LLM-based recommender systems8
Cross-distillation-based approach for detecting poisoning attacks in recommender systems8
Identifying influential nodes using semi local isolating centrality based on average shortest path7
Dynamic memory-enhanced federated learning framework with trusted computing for multi-source data analysis7
Frequency-aware experts with multi-stage fusion for multimodal sentiment analysis7
Tensor decomposition based lightweight residual fusion for Multimodal sentiment understanding7
MMRDoc: A multi-granularity multimodal RAG framework for long-document VQA7
Model-based decision support for knowledge-intensive processes7
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
Modeling and querying temporal RDF knowledge graphs with relational databases7
Temporal knowledge completion enhanced self-supervised entity alignment7
Redefining edge representations for enhanced information propagation on GNNs7
Hybrid transformer-based recommender system for political news6
Improved machine learning technique for feature reduction and its application in spam email detection6
Benchmarking fairness-aware recommender systems from matrix factorization to graph-based models6
SCMI-Net: Semantic constraints and modal interaction network for multimodal emotion recognition6
Prediction of customer’s perception in social networks by integrating sentiment analysis and machine learning6
Semantic skill discovery for zero-shot multi-task reinforcement learning6
Enhancing E-learning effectiveness: a process mining approach for short-term tutorials6
RERS: A real‑time emotion‑aware recommender system for sustainable and eco‑friendly driving6
Evidence-driven appraisal of students’ careers using process mining: a case study6
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
Meta learning-based relevant user identification and aggregation for cold-start recommendation6
Tell me what you Like: introducing natural language preference elicitation strategies in a virtual assistant for the movie domain6
Learning recommendations from educational event data in higher education6
Editorial: recent advances in process analytics6
Finding a needle in a haystack: insights on feature selection for classification tasks6
Textual and structural dual enhancement for knowledge graph completion with large language models6
Heuristic approaches for non-exhaustive pattern-based change detection in dynamic networks6
Adaptive multi-round retrieval with knowledge distillation for sequential recommendation6
GCN-diffusion and multi-view contrastive learning for enhanced knowledge recommendation6
Efficient approximate top-k mutual information based feature selection6
Towards a soft three-level voting model (Soft T-LVM) for fake news detection5
D-DPDG: Diffusion-based dual-graph attention with dual-path feature extraction for multimodal recommendation5
GradeSQL: Outcome reward models for intelligent Text-to-SQL generation from LLMs5
Histograms as tools for mining actionable knowledge – principles and examples5
Generating textual explanations for scheduling systems leveraging the reasoning capabilities of large language models5
Effect of attention and triplet loss on chart classification: a study on noisy charts and confusing chart pairs5
DTDiff: adaptive decoupled transformer with language-conditioned denoising learning for multimodal emotion recognition in conversation5
Interpretable methods for personalized recommendation of traditional chinese medicine5
Machine learning approaches to predict the execution time of the meteorological simulation software COSMO5
MMusic: a hierarchical multi-information fusion method for deep music recommendation5
RETSRec: A review-enhanced transformer-based model for sequential recommendation5
An interpretable model for sepsis prediction using multi-objective rule extraction5
EMRDCM : An experience-enhanced multi-role debate method based on compromise mechanisms5
Session-aware recommender system using double deep reinforcement learning5
Correction to: Deep learning based sentiment analysis of public perception of working from home through tweets5
Dynamic feedback loops in recommender systems: Analyzing fairness, popularity bias, and user group disparities5
A multi-objective optimization approach for session-based recommendation systems5
Towards scalable action rule discovery: a structured vertical partitioning method4
PolyCard: A learned cardinality estimator for intersection queries on spatial polygons4
A deep recommendation model based on semantic information and correlation between items4
A novel approach for software defect prediction using CNN and GRU based on SMOTE Tomek method4
Predicting residents’ travel mode choice based on MAML4
TuckerDNCaching: high-quality negative sampling with tucker decomposition4
Early detection of fake news on emerging topics through weak supervision4
Generative adversarial meta-learning knowledge graph completion for large-scale complex knowledge graphs4
Editorial: AI meets cybersecurity4
ELECTRA-based graph network model for multi-hop question answering4
A knowledge-enhanced interactive graph convolutional network for aspect-based sentiment analysis4
Revisiting cognitive process-driven model with sentiment-infused user preference for recommendation4
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
Influence-aware graph neural collaborative modeling for group recommender systems4
Strong filters: Toward an interpretable architecture for large-scale health data4
A mutually enhanced multi-scale relation-aware graph convolutional network for argument pair extraction4
A context-aware unsupervised predictive maintenance solution for fleet management4
A generic approach to extract object-centric event data from databases supporting SAP ERP4
Performance-preserving event log sampling for predictive monitoring4
Semi-supervised and ensemble learning to predict work-related stress4
Neural network translations for building SentiWordNets4
Advancing diversity in recommender systems: a model for enhancing societal well-being4
Time series anomaly detection models with contrastive representation learning3
A retrieval model with contextual correlation analysis for verbose queries3
Best ICPM 2023 workshop papers3
Learning autoencoder ensembles for detecting malware hidden communications in IoT ecosystems3
Structure-activated and interest-aware multimodal recommendation method3
Enhancing the fairness of offensive memes detection models by mitigating unintended political bias3
Offensive language identification with multi-task learning3
Detecting COVID-19 vaccine hesitancy in India: a multimodal transformer based approach3
AlignGenRec: Aligning collaborative and textual knowledge for llm-based generative recommendation3
MLGAT: multi-layer graph attention networks for multimodal emotion recognition in conversations3
Parameters tuning of multi-model database based on deep reinforcement learning3
ERABQS: entity resolution based on active machine learning and balancing query strategy3
Understanding aspect-level implicit sentiment via adaptive multi-source knowledge weighting and multi-step reading3
Learning constraint orderings for direct diagnosis3
Data-Centric AI3
Reinforcement negative sampling recommendation based on collaborative knowledge graph3
Topic enhanced sentiment co-attention BERT3
Information gain based dynamic support set construction for cold-start recommendation3
The detection of mental health conditions by incorporating external knowledge3
Sentiment lexicon integrated meta-training for sentiment analysis in data-scarce settings3
Less is more: a PMA framework for zero-shot multi-hop question answering3
Time series forecasting of network traffic with latent domain generalization: Addressing out-of-distribution challenges3
Quantification of part-of-speech relationships for aspect sentiment triplet extraction3
Audio-based anomaly detection on edge devices via self-supervision and spectral analysis3
Semantic-aware fake news detection with heterogeneous graph attention3
A quantum-like zero-shot approach for sentiment analysis in finance3
KG-Tune: Improving embedding models for domain-specific RAG via knowledge graph-driven fine-tuning3
EqBal-RS: Mitigating popularity bias in recommender systems3
Gotta embed them all! - knowledge-aware recommendations fusing heterogeneous multimodal item embeddings3
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