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 2021-06-01 to 2025-06-01.)
ArticleCitations
Predicting temporary deal success with social media timing signals53
A semiautomatic method for obtaining a predictive deep learning model and a rule-based system for abdominal aortic aneurysms48
News dissemination: a semantic approach to barrier classification46
Persuasive explanations for path reasoning recommendations46
Explaining the impact of design choices on model quality in predictive process monitoring45
Leveraging neighborhood and path information for influential spreaders recognition in complex networks40
MhSa-GRU: combining user’s dynamic preferences and items’ correlation to augment sequence recommendation39
Entity-aware answer sentence selection for question answering with transformer-based language models36
Correction to: Evaluating user story quality with LLMs: a comparative study31
Depression detection from sMRI and rs-fMRI images using machine learning30
Exploring rich structure information for aspect-based sentiment classification29
MYRTO: An efficient pervasive method for hybrid ML-based data filtered allocations28
Fake news detection based on statement conflict26
MF-EDNet: predicting stock market sector indices based on multi-feature fusion under emergency events25
Leveraging contextual embeddings and self-attention neural networks with bi-attention for sentiment analysis23
Impact of techniques to reduce error in high error rule-based expert system gradient descent networks23
Deep learning approaches to lexical simplification: A survey23
Clustering of renewable energy assets to optimize resource allocation and operational strategies22
Analyzing and improving stability of matrix factorization for recommender systems22
Temporal knowledge graph completion based on product space and contrastive learning of commonsense22
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 systems19
An image and text-based multimodal model for detecting fake news in OSN’s19
The more "similar" the happier: Augmenting text using similarity scoring with neural embeddings for happiness classification19
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
Bi-knowledge views recommendation based on user-oriented contrastive learning18
Making design decisions under uncertainties: probabilistic reasoning and robust product design17
Multi-class classification of COVID-19 documents using machine learning algorithms17
Multi-task learning for toxic comment classification and rationale extraction17
Conversing with business process-aware large language models: the BPLLM framework16
FedGR: Cross-platform federated group recommendation system with hypergraph neural networks16
Research on telecom customer churn prediction based on ensemble learning15
Multi-level language interaction transformer for multimodal sentiment analysis15
Computing semantic similarity of texts by utilizing dependency graph14
Group event recommendation based on a heterogeneous attribute graph considering long- and short- term preferences14
Transformer based multilingual joint learning framework for code-mixed and english sentiment analysis14
SESAME - self-supervised framework for extractive question answering over document collections14
Ensemble time series models for stock price prediction and portfolio optimization with sentiment analysis13
Dual-view embedding for hyper-relational knowledge graphs with hierarchical structure12
Integrating control-theoretic predictive deep learning for resource-efficient computing systems12
Leveraging distant supervision and deep learning for twitter sentiment and emotion classification12
How to raise artwork prices using action rules, personalization and artwork visual features12
Detecting bipolar disorder on social media by post grouping and interpretable deep learning12
Machine learning methods for predicting the admissions and hospitalisations in the emergency department of a civil and military hospital12
Frequency roughness analysis in image processing and game design11
Customer churn prediction for a webcast platform via a voting-based ensemble learning model with Nelder-Mead optimizer11
MaMiPot: a paradigm shift for the classification of imbalanced data10
EST transformer: enhanced spatiotemporal representation learning for time series anomaly detection10
Data- & compute-efficient deviance mining via active learning and fast ensembles10
DoWTS – Denial-of-Wallet Test Simulator: Synthetic data generation for preemptive defence10
GNNRec: gated graph neural network for session-based social recommendation model10
Audio super-resolution via vision transformer10
BMDF-SR: bidirectional multi-sequence decoupling fusion method for sequential recommendation10
Physics-guided approach with transfer learning in vehicle lateral dynamics10
Word embedding for mixed-emotions analysis10
Design of fully homomorphic multikey encryption scheme for secured cloud access and storage environment9
Graph attention networks with adaptive neighbor graph aggregation for cold-start recommendation9
A data-driven situation-aware framework for predictive analysis in smart environments9
Improving graph collaborative filtering with view explorer for social recommendation9
A transformer-based framework for predicting geomagnetic indices with uncertainty quantification9
Stock price nowcasting and forecasting with deep learning9
Two-stage sequential recommendation for side information fusion and long-term and short-term preferences modeling9
Tiramisù: making sense of multi-faceted process information through time and space8
Identifying influential nodes using semi local isolating centrality based on average shortest path8
Approaches and algorithms to mitigate cold start problems in recommender systems: a systematic literature review8
Performing arithmetic using a neural network trained on images of digit permutation pairs8
An overview of actionable knowledge discovery techniques7
Model-based decision support for knowledge-intensive processes7
Classroom teaching of tourism management using multimedia big data analysis7
Semantic-enhanced reasoning question answering over temporal knowledge graphs7
A contextual-bandit approach for multifaceted reciprocal recommendations in online dating7
Expanding Normalized Systems from textual domain descriptions using TEMOS6
Adaptive multi-round retrieval with knowledge distillation for sequential recommendation6
An overview of machine learning techniques in constraint solving6
FPGA supported rough set reduct calculation for big datasets6
A systematic review of question answering systems for non-factoid questions6
Enhancing E-learning effectiveness: a process mining approach for short-term tutorials6
T-shaped expert mining: a novel approach based on skill translation and focal loss6
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
Modeling and querying temporal RDF knowledge graphs with relational databases6
Heuristic approaches for non-exhaustive pattern-based change detection in dynamic networks6
Tell me what you Like: introducing natural language preference elicitation strategies in a virtual assistant for the movie domain6
Interpretable segmentation of medical free-text records based on word embeddings6
Evidence-driven appraisal of students’ careers using process mining: a case study6
Dynamic memory-enhanced federated learning framework with trusted computing for multi-source data analysis6
Editorial: recent advances in process analytics6
Prediction of customer’s perception in social networks by integrating sentiment analysis and machine learning5
Generating textual explanations for scheduling systems leveraging the reasoning capabilities of large language models5
MMusic: a hierarchical multi-information fusion method for deep music recommendation5
An interpretable model for sepsis prediction using multi-objective rule extraction5
Generalized durative event detection on social media5
Incremental and accurate computation of machine learning models with smart data summarization5
Correction to: Deep learning based sentiment analysis of public perception of working from home through tweets5
Efficient approximate top-k mutual information based feature selection5
Issues in clustering algorithm consistency in fixed dimensional spaces. Some solutions for k-means5
Attention-based hybrid CNN-LSTM and spectral data augmentation for COVID-19 diagnosis from cough sound5
Meta learning-based relevant user identification and aggregation for cold-start recommendation5
Learning recommendations from educational event data in higher education5
Histograms as tools for mining actionable knowledge – principles and examples5
Effect of attention and triplet loss on chart classification: a study on noisy charts and confusing chart pairs5
Machine learning approaches to predict the execution time of the meteorological simulation software COSMO5
How to deal with negative preferences in recommender systems: a theoretical framework4
ELECTRA-based graph network model for multi-hop question answering4
A knowledge-enhanced interactive graph convolutional network for aspect-based sentiment analysis4
MAA-PTG: multimodal aspect-aware product title generation4
Towards a soft three-level voting model (Soft T-LVM) for fake news detection4
SI: methodologies for intelligent systems4
A multi-objective optimization approach for session-based recommendation systems4
A novel approach for software defect prediction using CNN and GRU based on SMOTE Tomek method4
PolyCard: A learned cardinality estimator for intersection queries on spatial polygons4
Coarse-grained decomposition and fine-grained interaction for multi-hop question answering4
Session-aware recommender system using double deep reinforcement learning4
A context-aware unsupervised predictive maintenance solution for fleet management4
User-controlled federated matrix factorization for recommender systems4
Offensive language identification with multi-task learning3
A comprehensive Benchmark for fake news detection3
Semi-supervised and ensemble learning to predict work-related stress3
Early detection of fake news on emerging topics through weak supervision3
Generative adversarial meta-learning knowledge graph completion for large-scale complex knowledge graphs3
IbLT: An effective granular computing framework for hierarchical community detection3
A distantly supervised approach for recognizing product mentions in user-generated content3
TuckerDNCaching: high-quality negative sampling with tucker decomposition3
A mutually enhanced multi-scale relation-aware graph convolutional network for argument pair extraction3
Summarizing consumer reviews3
Editorial: AI meets cybersecurity3
Information gain based dynamic support set construction for cold-start recommendation3
An Ontology driven model for detection and classification of cardiac arrhythmias using ECG data3
Neural network translations for building SentiWordNets3
Performance-preserving event log sampling for predictive monitoring3
A generic approach to extract object-centric event data from databases supporting SAP ERP3
Upper bounds for can-tree and FP-tree3
Exploring the trie of rules: a fast data structure for the representation of association rules3
Quantification of part-of-speech relationships for aspect sentiment triplet extraction3
A distantly supervised approach for enriching product graphs with user opinions3
ERABQS: entity resolution based on active machine learning and balancing query strategy3
Sports recommender systems: overview and research directions2
An empirical evaluation of active learning strategies for profile elicitation in a conversational recommender system2
Inter-organizational collaborative BPMN 2.0 business process discovery2
A framework for interoperability between models with hybrid tools2
EqBal-RS: Mitigating popularity bias in recommender systems2
Enhancing the fairness of offensive memes detection models by mitigating unintended political bias2
The detection of mental health conditions by incorporating external knowledge2
Reinforcement negative sampling recommendation based on collaborative knowledge graph2
Leveraging posts’ and authors’ metadata to spot several forms of abusive comments in Twitter2
A motif-based probabilistic approach for community detection in complex networks2
Interest-aware influence diffusion model for social recommendation2
BERT-PG: a two-branch associative feature gated filtering network for aspect sentiment classification2
Aspect-location attention networks for aspect-category sentiment analysis in social media2
User profiling and satisfaction inference in public information access services2
An application of deep choice modeling for engagement maximization on Twitter/X2
MLGAT: multi-layer graph attention networks for multimodal emotion recognition in conversations2
Joint entity and relation extraction with fusion of multi-feature semantics2
A quantum-like zero-shot approach for sentiment analysis in finance2
A relational tsetlin machine with applications to natural language understanding2
Smart integration of sensors, computer vision and knowledge representation for intelligent monitoring and verbal human-computer interaction2
Forecasting inpatient admissions in district hospitals: a hybrid model approach2
Topic enhanced sentiment co-attention BERT2
Deep learning based sentiment analysis of public perception of working from home through tweets2
A new knowledge discovery approach for mining business trade barriers2
Cross-lingual transfer of abstractive summarizer to less-resource language2
An improved recommendation based on graph convolutional network2
Obtaining synthetic indications and sorting relevant structures from complex hierarchical clusters of multivariate data2
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
A parallel computing framework for real-time moving object detection on high resolution videos2
Learning autoencoder ensembles for detecting malware hidden communications in IoT ecosystems2
Data-Centric AI2
Parameters tuning of multi-model database based on deep reinforcement learning2
Detecting COVID-19 vaccine hesitancy in India: a multimodal transformer based approach2
Self-training dual-network for denoising federated recommendation2
OVI-3: A NoSQL visual query system supporting efficient anti-joins2
Enhanced density peak-based community detection algorithm2
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