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 2022-01-01 to 2026-01-01.)
ArticleCitations
Correction to: Evaluating user story quality with LLMs: a comparative study74
A semiautomatic method for obtaining a predictive deep learning model and a rule-based system for abdominal aortic aneurysms66
News dissemination: a semantic approach to barrier classification63
On the performance of large language models on introductory programming assignments54
CMKF:Multimodal emotion recognition in conversations based on CoMamba and KAN-Fuse52
MhSa-GRU: combining user’s dynamic preferences and items’ correlation to augment sequence recommendation48
Explaining the impact of design choices on model quality in predictive process monitoring47
Persuasive explanations for path reasoning recommendations46
Entity-aware answer sentence selection for question answering with transformer-based language models44
MYRTO: An efficient pervasive method for hybrid ML-based data filtered allocations41
MF-EDNet: predicting stock market sector indices based on multi-feature fusion under emergency events41
Leveraging neighborhood and path information for influential spreaders recognition in complex networks41
Fake news detection based on statement conflict33
Analyzing and improving stability of matrix factorization for recommender systems33
LLIMONIIE: Large Language Instructed Model for Open Named Italian Information Extraction30
Deep learning approaches to lexical simplification: A survey28
Temporal knowledge graph completion based on product space and contrastive learning of commonsense27
Clustering of renewable energy assets to optimize resource allocation and operational strategies26
TCM_DiffPR: knowledge graph diffusion model for personalized traditional Chinese medicine recommendation26
Generation method of suspense stories based on new-type inference25
Exploring rich structure information for aspect-based sentiment classification23
The more "similar" the happier: Augmenting text using similarity scoring with neural embeddings for happiness classification22
3T-IEC*: a context-aware recommender system architecture for smart social networks (EBSN and SBSN)22
An image and text-based multimodal model for detecting fake news in OSN’s22
A novel technique using graph neural networks and relevance scoring to improve the performance of knowledge graph-based question answering systems21
Sentiment analysis of twitter data to detect and predict political leniency using natural language processing20
A hybrid location-based recommender system for trip planning and mobility using geo-tagged media20
Bi-knowledge views recommendation based on user-oriented contrastive learning20
Improving the clarity of questions in Community Question Answering networks20
Multi-task learning for toxic comment classification and rationale extraction18
Multi-class classification of COVID-19 documents using machine learning algorithms18
Casting criminals: a framework for evaluating demographic bias in AI-generated narratives18
Research on telecom customer churn prediction based on ensemble learning17
FedGR: Cross-platform federated group recommendation system with hypergraph neural networks16
Learning resource recommendation models based on learning behaviors and hierarchical structure graph16
Leveraging knowledge graphs and LLMs for content-based reviewer assignment16
Leveraging large language models, graph neural networks, and explainable AI for revolutionizing the next-generation network intrusion detection systems16
Multi-level language interaction transformer for multimodal sentiment analysis15
Transformer based multilingual joint learning framework for code-mixed and english sentiment analysis15
Conversing with business process-aware large language models: the BPLLM framework15
SESAME - self-supervised framework for extractive question answering over document collections14
Integrating control-theoretic predictive deep learning for resource-efficient computing systems14
RGDF: a structure-aware lightweight fusion for efficient and accurate knowledge graph completion14
Group event recommendation based on a heterogeneous attribute graph considering long- and short- term preferences14
Ensemble time series models for stock price prediction and portfolio optimization with sentiment analysis13
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
Computing semantic similarity of texts by utilizing dependency graph13
Leveraging distant supervision and deep learning for twitter sentiment and emotion classification12
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 dynamics11
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
Word embedding for mixed-emotions analysis11
Detecting bipolar disorder on social media by post grouping and interpretable deep learning11
EST transformer: enhanced spatiotemporal representation learning for time series anomaly detection10
Evidence selection via multi-aspect query diversification for cross-document relation extraction10
Customer churn prediction for a webcast platform via a voting-based ensemble learning model with Nelder-Mead optimizer10
KQFV: a knowledge-enhanced method using question answering for fact verification9
Data- & compute-efficient deviance mining via active learning and fast ensembles9
Audio super-resolution via vision transformer9
MaMiPot: a paradigm shift for the classification of imbalanced data9
MFLP: Overlapping community detection by multi-level fast label propagation9
SKT-SQL: multi-decoupling and skeleton prompt framework for text-to-SQL on small-scale LMs9
GNNRec: gated graph neural network for session-based social recommendation model9
BMDF-SR: bidirectional multi-sequence decoupling fusion method for sequential recommendation9
A transformer-based framework for predicting geomagnetic indices with uncertainty quantification8
Handling concept drifts with traditional process discovery algorithms8
Graph attention networks with adaptive neighbor graph aggregation for cold-start recommendation8
Stock price nowcasting and forecasting with deep learning8
A data-driven situation-aware framework for predictive analysis in smart environments8
Two-stage sequential recommendation for side information fusion and long-term and short-term preferences modeling8
Improving graph collaborative filtering with view explorer for social recommendation8
Design of fully homomorphic multikey encryption scheme for secured cloud access and storage environment8
Approaches and algorithms to mitigate cold start problems in recommender systems: a systematic literature review8
A resistance distance approach to community detection in complex networks with key node identification8
Distance-based change point detection for novelty detection in concept-agnostic continual anomaly detection7
Cross-distillation-based approach for detecting poisoning attacks in recommender systems7
Redefining edge representations for enhanced information propagation on GNNs7
Tiramisù: making sense of multi-faceted process information through time and space7
Temporal knowledge completion enhanced self-supervised entity alignment6
Meta learning-based relevant user identification and aggregation for cold-start recommendation6
Improved machine learning technique for feature reduction and its application in spam email detection6
T-shaped expert mining: a novel approach based on skill translation and focal loss6
Frequency-aware experts with multi-stage fusion for multimodal sentiment analysis6
Modeling and querying temporal RDF knowledge graphs with relational databases6
Hybrid transformer-based recommender system for political news6
Textual and structural dual enhancement for knowledge graph completion with large language models6
Classroom teaching of tourism management using multimedia big data analysis6
FPGA supported rough set reduct calculation for big datasets6
Dynamic memory-enhanced federated learning framework with trusted computing for multi-source data analysis6
Semantic-enhanced reasoning question answering over temporal knowledge graphs6
Evidence-driven appraisal of students’ careers using process mining: a case study6
Finding a needle in a haystack: insights on feature selection for classification tasks6
Identifying influential nodes using semi local isolating centrality based on average shortest path6
Expanding Normalized Systems from textual domain descriptions using TEMOS6
A contextual-bandit approach for multifaceted reciprocal recommendations in online dating6
Model-based decision support for knowledge-intensive processes6
Editorial: recent advances in process analytics6
Enhancing E-learning effectiveness: a process mining approach for short-term tutorials5
Adaptive multi-round retrieval with knowledge distillation for sequential recommendation5
GCN-diffusion and multi-view contrastive learning for enhanced knowledge recommendation5
MMusic: a hierarchical multi-information fusion method for deep music recommendation5
An interpretable model for sepsis prediction using multi-objective rule extraction5
Efficient approximate top-k mutual information based feature selection5
Heuristic approaches for non-exhaustive pattern-based change detection in dynamic networks5
Tell me what you Like: introducing natural language preference elicitation strategies in a virtual assistant for the movie domain5
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
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
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
Incremental and accurate computation of machine learning models with smart data summarization5
DTDiff: adaptive decoupled transformer with language-conditioned denoising learning for multimodal emotion recognition in conversation5
Attention-based hybrid CNN-LSTM and spectral data augmentation for COVID-19 diagnosis from cough sound5
Towards scalable action rule discovery: a structured vertical partitioning method4
How to deal with negative preferences in recommender systems: a theoretical framework4
Towards a soft three-level voting model (Soft T-LVM) for fake news detection4
Interpretable methods for personalized recommendation of traditional chinese medicine4
D-DPDG: Diffusion-based dual-graph attention with dual-path feature extraction for multimodal recommendation4
A novel approach for software defect prediction using CNN and GRU based on SMOTE Tomek method4
Offensive language identification with multi-task learning4
A mutually enhanced multi-scale relation-aware graph convolutional network for argument pair extraction4
Revisiting cognitive process-driven model with sentiment-infused user preference for recommendation4
Semi-supervised and ensemble learning to predict work-related stress4
Machine learning approaches to predict the execution time of the meteorological simulation software COSMO4
PolyCard: A learned cardinality estimator for intersection queries on spatial polygons4
A deep recommendation model based on semantic information and correlation between items4
User-controlled federated matrix factorization for recommender systems4
Editorial: AI meets cybersecurity4
Neural network translations for building SentiWordNets4
A generic approach to extract object-centric event data from databases supporting SAP ERP4
MAA-PTG: multimodal aspect-aware product title generation4
A comprehensive Benchmark for fake news detection4
A knowledge-enhanced interactive graph convolutional network for aspect-based sentiment analysis4
A multi-objective optimization approach for session-based recommendation systems4
ELECTRA-based graph network model for multi-hop question answering4
Session-aware recommender system using double deep reinforcement learning4
Generalized durative event detection on social media4
A context-aware unsupervised predictive maintenance solution for fleet management4
Performance-preserving event log sampling for predictive monitoring4
Predicting residents’ travel mode choice based on MAML4
A distantly supervised approach for enriching product graphs with user opinions3
ERABQS: entity resolution based on active machine learning and balancing query strategy3
Quantification of part-of-speech relationships for aspect sentiment triplet extraction3
Information gain based dynamic support set construction for cold-start recommendation3
Generative adversarial meta-learning knowledge graph completion for large-scale complex knowledge graphs3
Sentiment lexicon integrated meta-training for sentiment analysis in data-scarce settings3
Structure-activated and interest-aware multimodal recommendation method3
AlignGenRec: Aligning collaborative and textual knowledge for llm-based generative recommendation3
Reinforcement negative sampling recommendation based on collaborative knowledge graph3
Early detection of fake news on emerging topics through weak supervision3
Gotta embed them all! - knowledge-aware recommendations fusing heterogeneous multimodal item embeddings3
Summarizing consumer reviews3
A distantly supervised approach for recognizing product mentions in user-generated content3
Parameters tuning of multi-model database based on deep reinforcement learning3
Learning constraint orderings for direct diagnosis3
Semantic-aware fake news detection with heterogeneous graph attention3
Exploring the trie of rules: a fast data structure for the representation of association rules3
TuckerDNCaching: high-quality negative sampling with tucker decomposition3
Audio-based anomaly detection on edge devices via self-supervision and spectral analysis2
A framework for interoperability between models with hybrid tools2
Developing and validating an electronic health record-based frailty index in pre-operative settings using machine learning2
A hybrid recognition framework of crucial seed spreaders in complex networks with neighborhood overlap2
Sports recommender systems: overview and research directions2
BERT-PG: a two-branch associative feature gated filtering network for aspect sentiment classification2
Joint entity and relation extraction with fusion of multi-feature semantics2
Inter-organizational collaborative BPMN 2.0 business process discovery2
Enhanced density peak-based community detection algorithm2
A parallel computing framework for real-time moving object detection on high resolution videos2
Time series forecasting of network traffic with latent domain generalization: Addressing out-of-distribution challenges2
Topic enhanced sentiment co-attention BERT2
Enhancing the fairness of offensive memes detection models by mitigating unintended political bias2
A quantum-like zero-shot approach for sentiment analysis in finance2
Self-training dual-network for denoising federated recommendation2
Detecting COVID-19 vaccine hesitancy in India: a multimodal transformer based approach2
Hierarchical reinforcement learning for efficient and effective automated penetration testing of large networks2
Scalable computer interactive education system based on large-scale multimedia data analysis2
Few-shot remote sensing image scene classification with CLIP and prompt learning2
Aspect-location attention networks for aspect-category sentiment analysis in social media2
An improved recommendation based on graph convolutional network2
$$A^{2} H^{2}$$ for multimodal emotional data analysis2
OVI-3: A NoSQL visual query system supporting efficient anti-joins2
Using an explainable machine learning approach to prioritize factors contributing to healthcare professionals’ burnout2
A relational tsetlin machine with applications to natural language understanding2
MLGAT: multi-layer graph attention networks for multimodal emotion recognition in conversations2
Learning autoencoder ensembles for detecting malware hidden communications in IoT ecosystems2
The detection of mental health conditions by incorporating external knowledge2
An application of deep choice modeling for engagement maximization on Twitter/X2
Enhancing aspect and opinion terms semantic relation for aspect sentiment triplet extraction2
Deep learning based sentiment analysis of public perception of working from home through tweets2
Towards robust multimodal emotion recognition in conversation with multi-modal transformer and variational distillation fusion2
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
A new knowledge discovery approach for mining business trade barriers2
Leveraging posts’ and authors’ metadata to spot several forms of abusive comments in Twitter2
Obtaining synthetic indications and sorting relevant structures from complex hierarchical clusters of multivariate data2
Data-Centric AI2
EqBal-RS: Mitigating popularity bias in recommender systems2
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