Journal of Intelligent Information Systems

Papers
(The TQCC of Journal of Intelligent Information Systems is 6. 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 2021-08-01 to 2025-08-01.)
ArticleCitations
Predicting temporary deal success with social media timing signals56
A semiautomatic method for obtaining a predictive deep learning model and a rule-based system for abdominal aortic aneurysms53
Persuasive explanations for path reasoning recommendations49
News dissemination: a semantic approach to barrier classification47
Explaining the impact of design choices on model quality in predictive process monitoring46
MhSa-GRU: combining user’s dynamic preferences and items’ correlation to augment sequence recommendation40
Leveraging neighborhood and path information for influential spreaders recognition in complex networks39
Correction to: Evaluating user story quality with LLMs: a comparative study39
Entity-aware answer sentence selection for question answering with transformer-based language models38
MYRTO: An efficient pervasive method for hybrid ML-based data filtered allocations31
Fake news detection based on statement conflict31
Depression detection from sMRI and rs-fMRI images using machine learning31
MF-EDNet: predicting stock market sector indices based on multi-feature fusion under emergency events29
Clustering of renewable energy assets to optimize resource allocation and operational strategies28
Leveraging contextual embeddings and self-attention neural networks with bi-attention for sentiment analysis28
Impact of techniques to reduce error in high error rule-based expert system gradient descent networks26
Deep learning approaches to lexical simplification: A survey25
Temporal knowledge graph completion based on product space and contrastive learning of commonsense24
Analyzing and improving stability of matrix factorization for recommender systems24
An image and text-based multimodal model for detecting fake news in OSN’s23
Exploring rich structure information for aspect-based sentiment classification23
The more "similar" the happier: Augmenting text using similarity scoring with neural embeddings for happiness classification21
A novel technique using graph neural networks and relevance scoring to improve the performance of knowledge graph-based question answering systems20
3T-IEC*: a context-aware recommender system architecture for smart social networks (EBSN and SBSN)20
Multi-class classification of COVID-19 documents using machine learning algorithms20
Bi-knowledge views recommendation based on user-oriented contrastive learning19
Improving the clarity of questions in Community Question Answering networks19
Making design decisions under uncertainties: probabilistic reasoning and robust product design19
Multi-task learning for toxic comment classification and rationale extraction18
Sentiment analysis of twitter data to detect and predict political leniency using natural language processing18
Multi-level language interaction transformer for multimodal sentiment analysis17
Research on telecom customer churn prediction based on ensemble learning17
Leveraging large language models, graph neural networks, and explainable AI for revolutionizing the next-generation network intrusion detection systems16
Transformer based multilingual joint learning framework for code-mixed and english sentiment analysis15
Conversing with business process-aware large language models: the BPLLM framework15
FedGR: Cross-platform federated group recommendation system with hypergraph neural networks15
Ensemble time series models for stock price prediction and portfolio optimization with sentiment analysis13
Computing semantic similarity of texts by utilizing dependency graph13
Group event recommendation based on a heterogeneous attribute graph considering long- and short- term preferences13
Leveraging distant supervision and deep learning for twitter sentiment and emotion classification13
SESAME - self-supervised framework for extractive question answering over document collections13
Detecting bipolar disorder on social media by post grouping and interpretable deep learning12
An optimizer derived from Halpern’s method for enhanced neural network convergence and reduced carbon emissions12
Benchmarking state of the art website embedding methods for effective processing and analysis in the public sector12
Integrating control-theoretic predictive deep learning for resource-efficient computing systems12
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
How to raise artwork prices using action rules, personalization and artwork visual features12
Customer churn prediction for a webcast platform via a voting-based ensemble learning model with Nelder-Mead optimizer11
Word embedding for mixed-emotions analysis11
Frequency roughness analysis in image processing and game design11
Audio super-resolution via vision transformer11
Physics-guided approach with transfer learning in vehicle lateral dynamics10
DoWTS – Denial-of-Wallet Test Simulator: Synthetic data generation for preemptive defence10
Evidence selection via multi-aspect query diversification for cross-document relation extraction10
BMDF-SR: bidirectional multi-sequence decoupling fusion method for sequential recommendation10
Data- & compute-efficient deviance mining via active learning and fast ensembles10
EST transformer: enhanced spatiotemporal representation learning for time series anomaly detection10
Graph attention networks with adaptive neighbor graph aggregation for cold-start recommendation9
MaMiPot: a paradigm shift for the classification of imbalanced data9
A data-driven situation-aware framework for predictive analysis in smart environments9
GNNRec: gated graph neural network for session-based social recommendation model9
Stock price nowcasting and forecasting with deep learning9
A transformer-based framework for predicting geomagnetic indices with uncertainty quantification9
KQFV: a knowledge-enhanced method using question answering for fact verification8
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
Approaches and algorithms to mitigate cold start problems in recommender systems: a systematic literature review8
Improving graph collaborative filtering with view explorer for social recommendation8
Tiramisù: making sense of multi-faceted process information through time and space7
Semantic-enhanced reasoning question answering over temporal knowledge graphs7
Distance-based change point detection for novelty detection in concept-agnostic continual anomaly detection7
Identifying influential nodes using semi local isolating centrality based on average shortest path7
Handling concept drifts with traditional process discovery algorithms7
An overview of actionable knowledge discovery techniques7
Performing arithmetic using a neural network trained on images of digit permutation pairs7
Editorial: recent advances in process analytics6
Heuristic approaches for non-exhaustive pattern-based change detection in dynamic networks6
An overview of machine learning techniques in constraint solving6
Interpretable segmentation of medical free-text records based on word embeddings6
A systematic review of question answering systems for non-factoid questions6
Hybrid transformer-based recommender system for political news6
Modeling and querying temporal RDF knowledge graphs with relational databases6
FPGA supported rough set reduct calculation for big datasets6
Model-based decision support for knowledge-intensive processes6
Classroom teaching of tourism management using multimedia big data analysis6
Improved machine learning technique for feature reduction and its application in spam email detection6
Temporal knowledge completion enhanced self-supervised entity alignment6
Evidence-driven appraisal of students’ careers using process mining: a case study6
A contextual-bandit approach for multifaceted reciprocal recommendations in online dating6
Finding a needle in a haystack: insights on feature selection for classification tasks6
Dynamic memory-enhanced federated learning framework with trusted computing for multi-source data analysis6
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