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 2022-06-01 to 2026-06-01.)
ArticleCitations
A semiautomatic method for obtaining a predictive deep learning model and a rule-based system for abdominal aortic aneurysms104
Persuasive explanations for path reasoning recommendations79
CMKF:Multimodal emotion recognition in conversations based on CoMamba and KAN-Fuse58
Leveraging neighborhood and path information for influential spreaders recognition in complex networks58
On the performance of large language models on introductory programming assignments54
Entity-aware answer sentence selection for question answering with transformer-based language models50
FinSent-DistillQ: A distilled large language model with chain-of-thought fine-tuning for financial sentiment analysis49
Explaining the impact of design choices on model quality in predictive process monitoring39
Correction to: Evaluating user story quality with LLMs: a comparative study35
MhSa-GRU: combining user’s dynamic preferences and items’ correlation to augment sequence recommendation32
News dissemination: a semantic approach to barrier classification32
Generation method of suspense stories based on new-type inference31
TCM_DiffPR: knowledge graph diffusion model for personalized traditional Chinese medicine recommendation31
MYRTO: An efficient pervasive method for hybrid ML-based data filtered allocations29
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
LLIMONIIE: Large Language Instructed Model for Open Named Italian Information Extraction26
Framework for grouping local process models25
Clustering of renewable energy assets to optimize resource allocation and operational strategies25
Deep learning approaches to lexical simplification: A survey24
An image and text-based multimodal model for detecting fake news in OSN’s23
Exploring rich structure information for aspect-based sentiment classification23
Temporal knowledge graph completion based on product space and contrastive learning of commonsense21
A hybrid location-based recommender system for trip planning and mobility using geo-tagged media21
Multi-class classification of COVID-19 documents using machine learning algorithms20
FuDGE: Modeling full dynamic graph evolution20
Fine-tuning LLMs for answer set programming19
3T-IEC*: a context-aware recommender system architecture for smart social networks (EBSN and SBSN)19
A novel technique using graph neural networks and relevance scoring to improve the performance of knowledge graph-based question answering systems18
Improving the clarity of questions in Community Question Answering networks18
Casting criminals: a framework for evaluating demographic bias in AI-generated narratives18
Bi-knowledge views recommendation based on user-oriented contrastive learning18
Sentiment analysis of twitter data to detect and predict political leniency using natural language processing17
The more "similar" the happier: Augmenting text using similarity scoring with neural embeddings for happiness classification16
Research on telecom customer churn prediction based on ensemble learning15
Leveraging knowledge graphs and LLMs for content-based reviewer assignment15
Multi-level language interaction transformer for multimodal sentiment analysis15
Conversing with business process-aware large language models: the BPLLM framework15
FedGR: Cross-platform federated group recommendation system with hypergraph neural networks15
Multi-task learning for toxic comment classification and rationale extraction15
Learning resource recommendation models based on learning behaviors and hierarchical structure graph15
Leveraging large language models, graph neural networks, and explainable AI for revolutionizing the next-generation network intrusion detection systems14
Transformer based multilingual joint learning framework for code-mixed and english sentiment analysis14
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
Unveiling Sustainable Agriculture: An Ensemble Approach for Precision Crop and Fertilizer Recommendation with Local Interpretable Model-Agnostic Explanations13
Dual-view embedding for hyper-relational knowledge graphs with hierarchical structure13
Context-aware chatbot for personal healthcare assistance using LLMs and LangChain12
Computing semantic similarity of texts by utilizing dependency graph12
Detecting bipolar disorder on social media by post grouping and interpretable deep learning12
Leveraging distant supervision and deep learning for twitter sentiment and emotion classification12
Ensemble time series models for stock price prediction and portfolio optimization with sentiment analysis12
RGDF: a structure-aware lightweight fusion for efficient and accurate knowledge graph completion12
An optimizer derived from Halpern’s method for enhanced neural network convergence and reduced carbon emissions12
SESAME - self-supervised framework for extractive question answering over document collections12
Group event recommendation based on a heterogeneous attribute graph considering long- and short- term preferences12
Machine learning methods for predicting the admissions and hospitalisations in the emergency department of a civil and military hospital11
DoWTS – Denial-of-Wallet Test Simulator: Synthetic data generation for preemptive defence11
BMDF-SR: bidirectional multi-sequence decoupling fusion method for sequential recommendation11
Physics-guided approach with transfer learning in vehicle lateral dynamics10
Evidence selection via multi-aspect query diversification for cross-document relation extraction10
Data- & compute-efficient deviance mining via active learning and fast ensembles10
EST transformer: enhanced spatiotemporal representation learning for time series anomaly detection10
Customer churn prediction for a webcast platform via a voting-based ensemble learning model with Nelder-Mead optimizer10
Audio super-resolution via vision transformer10
Word embedding for mixed-emotions analysis9
TransEdge: a lightweight transformer-based anomaly detection framework for edge devices9
MFLP: Overlapping community detection by multi-level fast label propagation9
GNNRec: gated graph neural network for session-based social recommendation model9
Enhancing SQL generation through high-quality logical guidance9
TPLI: Transformation-partitioned learned index for multi-domain key-value stores9
MaMiPot: a paradigm shift for the classification of imbalanced data9
FactualRAG: a RAG-Powered framework for LLM fact-checking via IFCN-Accredited sources8
Special issue on intelligent systems, ISMIS’24 selected papers8
A resistance distance approach to community detection in complex networks with key node identification8
A transformer-based framework for predicting geomagnetic indices with uncertainty quantification8
Improving graph collaborative filtering with view explorer for social recommendation8
A data-driven situation-aware framework for predictive analysis in smart environments8
Stock price nowcasting and forecasting with deep learning8
KQFV: a knowledge-enhanced method using question answering for fact verification8
Two-stage sequential recommendation for side information fusion and long-term and short-term preferences modeling8
Active learning for LLM-based recommender systems8
Graph attention networks with adaptive neighbor graph aggregation for cold-start recommendation8
Redefining edge representations for enhanced information propagation on GNNs7
Tensor decomposition based lightweight residual fusion for Multimodal sentiment understanding7
Tiramisù: making sense of multi-faceted process information through time and space7
Dynamic memory-enhanced federated learning framework with trusted computing for multi-source data 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
Cross-distillation-based approach for detecting poisoning attacks in recommender systems7
Model-based decision support for knowledge-intensive processes7
Hybrid transformer-based recommender system for political news7
Identifying influential nodes using semi local isolating centrality based on average shortest path7
Distance-based change point detection for novelty detection in concept-agnostic continual anomaly detection7
A contextual-bandit approach for multifaceted reciprocal recommendations in online dating7
Frequency-aware experts with multi-stage fusion for multimodal sentiment analysis7
Handling concept drifts with traditional process discovery algorithms7
A local dynamic propagation graph-based method for multi-modal fake news detection6
RERS: A real‑time emotion‑aware recommender system for sustainable and eco‑friendly driving6
Textual and structural dual enhancement for knowledge graph completion with large language models6
Prediction of customer’s perception in social networks by integrating sentiment analysis and machine learning6
Modeling and querying temporal RDF knowledge graphs with relational databases6
FPGA supported rough set reduct calculation for big datasets6
Benchmarking fairness-aware recommender systems from matrix factorization to graph-based models6
Evidence-driven appraisal of students’ careers using process mining: a case study6
T-shaped expert mining: a novel approach based on skill translation and focal loss6
Tell me what you Like: introducing natural language preference elicitation strategies in a virtual assistant for the movie domain6
Temporal knowledge completion enhanced self-supervised entity alignment6
Finding a needle in a haystack: insights on feature selection for classification tasks6
Improved machine learning technique for feature reduction and its application in spam email detection6
Meta learning-based relevant user identification and aggregation for cold-start recommendation6
Adaptive multi-round retrieval with knowledge distillation for sequential recommendation6
Heuristic approaches for non-exhaustive pattern-based change detection in dynamic networks6
Editorial: recent advances in process analytics6
Semantic skill discovery for zero-shot multi-task reinforcement learning5
Histograms as tools for mining actionable knowledge – principles and examples5
Efficient approximate top-k mutual information based feature selection5
Dynamic feedback loops in recommender systems: Analyzing fairness, popularity bias, and user group disparities5
Machine learning approaches to predict the execution time of the meteorological simulation software COSMO5
EMRDCM : An experience-enhanced multi-role debate method based on compromise mechanisms5
A multi-objective optimization approach for session-based recommendation systems5
Generating textual explanations for scheduling systems leveraging the reasoning capabilities of large language models5
Correction to: Deep learning based sentiment analysis of public perception of working from home through tweets5
Learning recommendations from educational event data in higher education5
GCN-diffusion and multi-view contrastive learning for enhanced knowledge recommendation5
Generalized durative event detection on social media5
DTDiff: adaptive decoupled transformer with language-conditioned denoising learning for multimodal emotion recognition in conversation5
Effect of attention and triplet loss on chart classification: a study on noisy charts and confusing chart pairs5
MMusic: a hierarchical multi-information fusion method for deep music recommendation5
Enhancing E-learning effectiveness: a process mining approach for short-term tutorials5
SCMI-Net: Semantic constraints and modal interaction network for multimodal emotion recognition5
An interpretable model for sepsis prediction using multi-objective rule extraction5
PolyCard: A learned cardinality estimator for intersection queries on spatial polygons5
Interpretable methods for personalized recommendation of traditional chinese medicine5
Towards a soft three-level voting model (Soft T-LVM) for fake news detection5
Advancing diversity in recommender systems: a model for enhancing societal well-being4
Information gain based dynamic support set construction for cold-start recommendation4
Towards scalable action rule discovery: a structured vertical partitioning method4
A deep recommendation model based on semantic information and correlation between items4
D-DPDG: Diffusion-based dual-graph attention with dual-path feature extraction for multimodal recommendation4
Predicting residents’ travel mode choice based on MAML4
Semi-supervised and ensemble learning to predict work-related stress4
Offensive language identification with multi-task learning4
Neural network translations for building SentiWordNets4
ELECTRA-based graph network model for multi-hop question answering4
A knowledge-enhanced interactive graph convolutional network for aspect-based sentiment analysis4
A context-aware unsupervised predictive maintenance solution for fleet management4
A mutually enhanced multi-scale relation-aware graph convolutional network for argument pair extraction4
Performance-preserving event log sampling for predictive monitoring4
Generative adversarial meta-learning knowledge graph completion for large-scale complex knowledge graphs4
Revisiting cognitive process-driven model with sentiment-infused user preference for recommendation4
Session-aware recommender system using double deep reinforcement learning4
A novel approach for software defect prediction using CNN and GRU based on SMOTE Tomek method4
Editorial: AI meets cybersecurity4
A generic approach to extract object-centric event data from databases supporting SAP ERP4
Parameters tuning of multi-model database based on deep reinforcement learning3
Enhancing the fairness of offensive memes detection models by mitigating unintended political bias3
Forecasting inpatient admissions in district hospitals: a hybrid model approach3
EqBal-RS: Mitigating popularity bias in recommender systems3
Learning autoencoder ensembles for detecting malware hidden communications in IoT ecosystems3
The detection of mental health conditions by incorporating external knowledge3
Reinforcement negative sampling recommendation based on collaborative knowledge graph3
Gotta embed them all! - knowledge-aware recommendations fusing heterogeneous multimodal item embeddings3
AlignGenRec: Aligning collaborative and textual knowledge for llm-based generative recommendation3
Enhancing recommendation systems for sustainability: a two-phase approach with Hesitant Fuzzy clustering and adaptive association rule mining3
KG-Tune: Improving embedding models for domain-specific RAG via knowledge graph-driven fine-tuning3
ERABQS: entity resolution based on active machine learning and balancing query strategy3
Time series forecasting of network traffic with latent domain generalization: Addressing out-of-distribution challenges3
A quantum-like zero-shot approach for sentiment analysis in finance3
MLGAT: multi-layer graph attention networks for multimodal emotion recognition in conversations3
A retrieval model with contextual correlation analysis for verbose queries3
Best ICPM 2023 workshop papers3
Quantification of part-of-speech relationships for aspect sentiment triplet extraction3
Sentiment lexicon integrated meta-training for sentiment analysis in data-scarce settings3
Exploring the trie of rules: a fast data structure for the representation of association rules3
Structure-activated and interest-aware multimodal recommendation method3
Inter-organizational collaborative BPMN 2.0 business process discovery3
Data-Centric AI3
Topic enhanced sentiment co-attention BERT3
Detecting COVID-19 vaccine hesitancy in India: a multimodal transformer based approach3
Audio-based anomaly detection on edge devices via self-supervision and spectral analysis3
Learning constraint orderings for direct diagnosis3
Semantic-aware fake news detection with heterogeneous graph attention3
TuckerDNCaching: high-quality negative sampling with tucker decomposition3
Early detection of fake news on emerging topics through weak supervision3
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