Journal of Intelligent Information Systems

Papers
(The median citation count of Journal of Intelligent Information Systems is 2. 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 2021-12-01 to 2025-12-01.)
ArticleCitations
Correction to: Evaluating user story quality with LLMs: a comparative study70
A semiautomatic method for obtaining a predictive deep learning model and a rule-based system for abdominal aortic aneurysms63
Explaining the impact of design choices on model quality in predictive process monitoring60
Entity-aware answer sentence selection for question answering with transformer-based language models54
News dissemination: a semantic approach to barrier classification52
On the performance of large language models on introductory programming assignments47
CMKF:Multimodal emotion recognition in conversations based on CoMamba and KAN-Fuse46
Leveraging neighborhood and path information for influential spreaders recognition in complex networks45
Persuasive explanations for path reasoning recommendations42
MhSa-GRU: combining user’s dynamic preferences and items’ correlation to augment sequence recommendation40
MYRTO: An efficient pervasive method for hybrid ML-based data filtered allocations39
MF-EDNet: predicting stock market sector indices based on multi-feature fusion under emergency events36
LLIMONIIE: Large Language Instructed Model for Open Named Italian Information Extraction33
Fake news detection based on statement conflict33
Analyzing and improving stability of matrix factorization for recommender systems29
Deep learning approaches to lexical simplification: A survey27
Generation method of suspense stories based on new-type inference27
Temporal knowledge graph completion based on product space and contrastive learning of commonsense26
TCM_DiffPR: knowledge graph diffusion model for personalized traditional Chinese medicine recommendation25
Leveraging contextual embeddings and self-attention neural networks with bi-attention for sentiment analysis22
Clustering of renewable energy assets to optimize resource allocation and operational strategies22
An image and text-based multimodal model for detecting fake news in OSN’s21
Exploring rich structure information for aspect-based sentiment classification21
A hybrid location-based recommender system for trip planning and mobility using geo-tagged media20
3T-IEC*: a context-aware recommender system architecture for smart social networks (EBSN and SBSN)20
The more "similar" the happier: Augmenting text using similarity scoring with neural embeddings for happiness classification20
Improving the clarity of questions in Community Question Answering networks19
A novel technique using graph neural networks and relevance scoring to improve the performance of knowledge graph-based question answering systems19
Bi-knowledge views recommendation based on user-oriented contrastive learning18
Multi-class classification of COVID-19 documents using machine learning algorithms17
Multi-task learning for toxic comment classification and rationale extraction17
Sentiment analysis of twitter data to detect and predict political leniency using natural language processing16
Research on telecom customer churn prediction based on ensemble learning16
Learning resource recommendation models based on learning behaviors and hierarchical structure graph15
Conversing with business process-aware large language models: the BPLLM framework15
Leveraging large language models, graph neural networks, and explainable AI for revolutionizing the next-generation network intrusion detection systems15
Multi-level language interaction transformer for multimodal sentiment analysis15
Leveraging knowledge graphs and LLMs for content-based reviewer assignment15
FedGR: Cross-platform federated group recommendation system with hypergraph neural networks15
RGDF: a structure-aware lightweight fusion for efficient and accurate knowledge graph completion14
SESAME - self-supervised framework for extractive question answering over document collections14
Transformer based multilingual joint learning framework for code-mixed and english sentiment analysis14
Benchmarking state of the art website embedding methods for effective processing and analysis in the public sector13
Dual-view embedding for hyper-relational knowledge graphs with hierarchical structure13
Unveiling Sustainable Agriculture: An Ensemble Approach for Precision Crop and Fertilizer Recommendation with Local Interpretable Model-Agnostic Explanations13
Integrating control-theoretic predictive deep learning for resource-efficient computing systems13
Computing semantic similarity of texts by utilizing dependency graph13
Detecting bipolar disorder on social media by post grouping and interpretable deep learning12
Ensemble time series models for stock price prediction and portfolio optimization with sentiment analysis12
Leveraging distant supervision and deep learning for twitter sentiment and emotion classification12
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
An optimizer derived from Halpern’s method for enhanced neural network convergence and reduced carbon emissions11
DoWTS – Denial-of-Wallet Test Simulator: Synthetic data generation for preemptive defence11
Context-aware chatbot for personal healthcare assistance using LLMs and LangChain11
Physics-guided approach with transfer learning in vehicle lateral dynamics10
Word embedding for mixed-emotions analysis10
Customer churn prediction for a webcast platform via a voting-based ensemble learning model with Nelder-Mead optimizer9
KQFV: a knowledge-enhanced method using question answering for fact verification9
EST transformer: enhanced spatiotemporal representation learning for time series anomaly detection9
Data- & compute-efficient deviance mining via active learning and fast ensembles9
MaMiPot: a paradigm shift for the classification of imbalanced data9
Improving graph collaborative filtering with view explorer for social recommendation9
Audio super-resolution via vision transformer9
BMDF-SR: bidirectional multi-sequence decoupling fusion method for sequential recommendation9
MFLP: Overlapping community detection by multi-level fast label propagation9
Graph attention networks with adaptive neighbor graph aggregation for cold-start recommendation9
Evidence selection via multi-aspect query diversification for cross-document relation extraction9
GNNRec: gated graph neural network for session-based social recommendation model9
A resistance distance approach to community detection in complex networks with key node identification8
Design of fully homomorphic multikey encryption scheme for secured cloud access and storage environment8
SKT-SQL: multi-decoupling and skeleton prompt framework for text-to-SQL on small-scale LMs8
A transformer-based framework for predicting geomagnetic indices with uncertainty quantification8
Stock price nowcasting and forecasting with deep learning8
Two-stage sequential recommendation for side information fusion and long-term and short-term preferences modeling8
A data-driven situation-aware framework for predictive analysis in smart environments8
Semantic-enhanced reasoning question answering over temporal knowledge graphs7
Approaches and algorithms to mitigate cold start problems in recommender systems: a systematic literature review7
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
Handling concept drifts with traditional process discovery algorithms7
Redefining edge representations for enhanced information propagation on GNNs6
Classroom teaching of tourism management using multimedia big data analysis6
Frequency-aware experts with multi-stage fusion for multimodal sentiment analysis6
Modeling and querying temporal RDF knowledge graphs with relational databases6
Finding a needle in a haystack: insights on feature selection for classification tasks6
FPGA supported rough set reduct calculation for big datasets6
Cross-distillation-based approach for detecting poisoning attacks in recommender systems6
A contextual-bandit approach for multifaceted reciprocal recommendations in online dating6
Dynamic memory-enhanced federated learning framework with trusted computing for multi-source data analysis6
Heuristic approaches for non-exhaustive pattern-based change detection in dynamic networks6
Editorial: recent advances in process analytics6
Evidence-driven appraisal of students’ careers using process mining: a case study6
Hybrid transformer-based recommender system for political news6
Tiramisù: making sense of multi-faceted process information through time and space6
Model-based decision support for knowledge-intensive processes6
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
Temporal knowledge completion enhanced self-supervised entity alignment6
T-shaped expert mining: a novel approach based on skill translation and focal loss5
Prediction of customer’s perception in social networks by integrating sentiment analysis and machine learning5
Histograms as tools for mining actionable knowledge – principles and examples5
Correction to: Deep learning based sentiment analysis of public perception of working from home through tweets5
Textual and structural dual enhancement for knowledge graph completion with large language models5
Expanding Normalized Systems from textual domain descriptions using TEMOS5
Incremental and accurate computation of machine learning models with smart data summarization5
Tell me what you Like: introducing natural language preference elicitation strategies in a virtual assistant for the movie domain5
Adaptive multi-round retrieval with knowledge distillation for sequential recommendation5
Enhancing E-learning effectiveness: a process mining approach for short-term tutorials5
Efficient approximate top-k mutual information based feature selection5
Attention-based hybrid CNN-LSTM and spectral data augmentation for COVID-19 diagnosis from cough sound4
GCN-diffusion and multi-view contrastive learning for enhanced knowledge recommendation4
SI: methodologies for intelligent systems4
PolyCard: A learned cardinality estimator for intersection queries on spatial polygons4
D-DPDG: Diffusion-based dual-graph attention with dual-path feature extraction for multimodal recommendation4
Performance-preserving event log sampling for predictive monitoring4
A deep recommendation model based on semantic information and correlation between items4
How to deal with negative preferences in recommender systems: a theoretical framework4
An interpretable model for sepsis prediction using multi-objective rule extraction4
Learning recommendations from educational event data in higher education4
A multi-objective optimization approach for session-based recommendation systems4
Editorial: AI meets cybersecurity4
Predicting residents’ travel mode choice based on MAML4
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
Generalized durative event detection on social media4
DTDiff: adaptive decoupled transformer with language-conditioned denoising learning for multimodal emotion recognition in conversation4
MMusic: a hierarchical multi-information fusion method for deep music recommendation4
Generating textual explanations for scheduling systems leveraging the reasoning capabilities of large language models4
Effect of attention and triplet loss on chart classification: a study on noisy charts and confusing chart pairs4
A context-aware unsupervised predictive maintenance solution for fleet management4
MAA-PTG: multimodal aspect-aware product title generation4
User-controlled federated matrix factorization for recommender systems4
ELECTRA-based graph network model for multi-hop question answering4
A knowledge-enhanced interactive graph convolutional network for aspect-based sentiment analysis4
Machine learning approaches to predict the execution time of the meteorological simulation software COSMO4
Towards a soft three-level voting model (Soft T-LVM) for fake news detection4
Neural network translations for building SentiWordNets3
A mutually enhanced multi-scale relation-aware graph convolutional network for argument pair extraction3
Towards scalable action rule discovery: a structured vertical partitioning method3
Early detection of fake news on emerging topics through weak supervision3
Gotta embed them all! - knowledge-aware recommendations fusing heterogeneous multimodal item embeddings3
Generative adversarial meta-learning knowledge graph completion for large-scale complex knowledge graphs3
Semantic-aware fake news detection with heterogeneous graph attention3
Summarizing consumer reviews3
Revisiting cognitive process-driven model with sentiment-infused user preference for recommendation3
Offensive language identification with multi-task learning3
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
TuckerDNCaching: high-quality negative sampling with tucker decomposition3
A comprehensive Benchmark for fake news detection3
Semi-supervised and ensemble learning to predict work-related stress3
A generic approach to extract object-centric event data from databases supporting SAP ERP3
Information gain based dynamic support set construction for cold-start recommendation3
AlignGenRec: Aligning collaborative and textual knowledge for llm-based generative recommendation3
ERABQS: entity resolution based on active machine learning and balancing query strategy3
MLGAT: multi-layer graph attention networks for multimodal emotion recognition in conversations2
Aspect-location attention networks for aspect-category sentiment analysis in social media2
Inter-organizational collaborative BPMN 2.0 business process discovery2
A framework for interoperability between models with hybrid tools2
A quantum-like zero-shot approach for sentiment analysis in finance2
Enhancing the fairness of offensive memes detection models by mitigating unintended political bias2
Quantification of part-of-speech relationships for aspect sentiment triplet extraction2
Using an explainable machine learning approach to prioritize factors contributing to healthcare professionals’ burnout2
Audio-based anomaly detection on edge devices via self-supervision and spectral analysis2
Scalable computer interactive education system based on large-scale multimedia data analysis2
BERT-PG: a two-branch associative feature gated filtering network for aspect sentiment classification2
A new knowledge discovery approach for mining business trade barriers2
The detection of mental health conditions by incorporating external knowledge2
An application of deep choice modeling for engagement maximization on Twitter/X2
$$A^{2} H^{2}$$ for multimodal emotional data analysis2
An improved recommendation based on graph convolutional network2
Data-Centric AI2
Self-training dual-network for denoising federated recommendation2
Learning constraint orderings for direct diagnosis2
Reinforcement negative sampling recommendation based on collaborative knowledge graph2
A distantly supervised approach for recognizing product mentions in user-generated content2
A relational tsetlin machine with applications to natural language understanding2
Enhancing fake news detection through fact-augmented LLM generation with Co-Attention2
Topic enhanced sentiment co-attention BERT2
Enhanced density peak-based community detection algorithm2
Sports recommender systems: overview and research directions2
Deep learning based sentiment analysis of public perception of working from home through tweets2
EqBal-RS: Mitigating popularity bias in recommender systems2
Joint entity and relation extraction with fusion of multi-feature semantics2
Forecasting inpatient admissions in district hospitals: a hybrid model approach2
Towards real-world multimodal propagation networks: Multimodal uncertainty graph contrastive learning for fake news detection2
Obtaining synthetic indications and sorting relevant structures from complex hierarchical clusters of multivariate data2
OVI-3: A NoSQL visual query system supporting efficient anti-joins2
Detecting COVID-19 vaccine hesitancy in India: a multimodal transformer based approach2
Parameters tuning of multi-model database based on deep reinforcement learning2
A distantly supervised approach for enriching product graphs with user opinions2
Time series forecasting of network traffic with latent domain generalization: Addressing out-of-distribution challenges2
A hybrid recognition framework of crucial seed spreaders in complex networks with neighborhood overlap2
Transformer-based Denoising Adversarial Variational Entity Resolution2
Leveraging posts’ and authors’ metadata to spot several forms of abusive comments in Twitter2
Towards robust multimodal emotion recognition in conversation with multi-modal transformer and variational distillation fusion2
Learning autoencoder ensembles for detecting malware hidden communications in IoT ecosystems2
A parallel computing framework for real-time moving object detection on high resolution videos2
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