Journal of Intelligent Information Systems

Article	Citations
Predicting temporary deal success with social media timing signals	56
A semiautomatic method for obtaining a predictive deep learning model and a rule-based system for abdominal aortic aneurysms	53
Persuasive explanations for path reasoning recommendations	49
News dissemination: a semantic approach to barrier classification	47
Explaining the impact of design choices on model quality in predictive process monitoring	46
MhSa-GRU: combining user’s dynamic preferences and items’ correlation to augment sequence recommendation	40
Correction to: Evaluating user story quality with LLMs: a comparative study	39
Leveraging neighborhood and path information for influential spreaders recognition in complex networks	39
Entity-aware answer sentence selection for question answering with transformer-based language models	38
Fake news detection based on statement conflict	31
Depression detection from sMRI and rs-fMRI images using machine learning	31
MYRTO: An efficient pervasive method for hybrid ML-based data filtered allocations	31
MF-EDNet: predicting stock market sector indices based on multi-feature fusion under emergency events	29
Leveraging contextual embeddings and self-attention neural networks with bi-attention for sentiment analysis	28
Clustering of renewable energy assets to optimize resource allocation and operational strategies	28
Impact of techniques to reduce error in high error rule-based expert system gradient descent networks	26
Deep learning approaches to lexical simplification: A survey	25
Temporal knowledge graph completion based on product space and contrastive learning of commonsense	24
Analyzing and improving stability of matrix factorization for recommender systems	24
An image and text-based multimodal model for detecting fake news in OSN’s	23
Exploring rich structure information for aspect-based sentiment classification	23
The more "similar" the happier: Augmenting text using similarity scoring with neural embeddings for happiness classification	21
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 algorithms	20
A novel technique using graph neural networks and relevance scoring to improve the performance of knowledge graph-based question answering systems	20

Improving the clarity of questions in Community Question Answering networks	19
Making design decisions under uncertainties: probabilistic reasoning and robust product design	19
Bi-knowledge views recommendation based on user-oriented contrastive learning	19
Multi-task learning for toxic comment classification and rationale extraction	18
Sentiment analysis of twitter data to detect and predict political leniency using natural language processing	18
Research on telecom customer churn prediction based on ensemble learning	17
Multi-level language interaction transformer for multimodal sentiment analysis	17
Leveraging large language models, graph neural networks, and explainable AI for revolutionizing the next-generation network intrusion detection systems	16
Conversing with business process-aware large language models: the BPLLM framework	15
FedGR: Cross-platform federated group recommendation system with hypergraph neural networks	15
Transformer based multilingual joint learning framework for code-mixed and english sentiment analysis	15
Group event recommendation based on a heterogeneous attribute graph considering long- and short- term preferences	13
Leveraging distant supervision and deep learning for twitter sentiment and emotion classification	13
SESAME - self-supervised framework for extractive question answering over document collections	13
Ensemble time series models for stock price prediction and portfolio optimization with sentiment analysis	13
Computing semantic similarity of texts by utilizing dependency graph	13
Benchmarking state of the art website embedding methods for effective processing and analysis in the public sector	12
Integrating control-theoretic predictive deep learning for resource-efficient computing systems	12
Machine learning methods for predicting the admissions and hospitalisations in the emergency department of a civil and military hospital	12
Dual-view embedding for hyper-relational knowledge graphs with hierarchical structure	12
How to raise artwork prices using action rules, personalization and artwork visual features	12
Detecting bipolar disorder on social media by post grouping and interpretable deep learning	12
An optimizer derived from Halpern’s method for enhanced neural network convergence and reduced carbon emissions	12
Word embedding for mixed-emotions analysis	11
Frequency roughness analysis in image processing and game design	11
Audio super-resolution via vision transformer	11
Customer churn prediction for a webcast platform via a voting-based ensemble learning model with Nelder-Mead optimizer	11
Evidence selection via multi-aspect query diversification for cross-document relation extraction	10
BMDF-SR: bidirectional multi-sequence decoupling fusion method for sequential recommendation	10
Data- & compute-efficient deviance mining via active learning and fast ensembles	10
EST transformer: enhanced spatiotemporal representation learning for time series anomaly detection	10
Physics-guided approach with transfer learning in vehicle lateral dynamics	10
DoWTS – Denial-of-Wallet Test Simulator: Synthetic data generation for preemptive defence	10
A data-driven situation-aware framework for predictive analysis in smart environments	9
GNNRec: gated graph neural network for session-based social recommendation model	9
Stock price nowcasting and forecasting with deep learning	9
A transformer-based framework for predicting geomagnetic indices with uncertainty quantification	9
Graph attention networks with adaptive neighbor graph aggregation for cold-start recommendation	9
MaMiPot: a paradigm shift for the classification of imbalanced data	9
Two-stage sequential recommendation for side information fusion and long-term and short-term preferences modeling	8
Approaches and algorithms to mitigate cold start problems in recommender systems: a systematic literature review	8
Improving graph collaborative filtering with view explorer for social recommendation	8
KQFV: a knowledge-enhanced method using question answering for fact verification	8
Design of fully homomorphic multikey encryption scheme for secured cloud access and storage environment	8
Distance-based change point detection for novelty detection in concept-agnostic continual anomaly detection	7
Identifying influential nodes using semi local isolating centrality based on average shortest path	7
Handling concept drifts with traditional process discovery algorithms	7
An overview of actionable knowledge discovery techniques	7
Performing arithmetic using a neural network trained on images of digit permutation pairs	7
Tiramisù: making sense of multi-faceted process information through time and space	7

Semantic-enhanced reasoning question answering over temporal knowledge graphs	7
A systematic review of question answering systems for non-factoid questions	6
Hybrid transformer-based recommender system for political news	6
Modeling and querying temporal RDF knowledge graphs with relational databases	6
An overview of machine learning techniques in constraint solving	6
Classroom teaching of tourism management using multimedia big data analysis	6
Improved machine learning technique for feature reduction and its application in spam email detection	6
Temporal knowledge completion enhanced self-supervised entity alignment	6
Evidence-driven appraisal of students’ careers using process mining: a case study	6
FPGA supported rough set reduct calculation for big datasets	6
Finding a needle in a haystack: insights on feature selection for classification tasks	6
Model-based decision support for knowledge-intensive processes	6
Dynamic memory-enhanced federated learning framework with trusted computing for multi-source data analysis	6
Editorial: recent advances in process analytics	6
Heuristic approaches for non-exhaustive pattern-based change detection in dynamic networks	6
A contextual-bandit approach for multifaceted reciprocal recommendations in online dating	6
Interpretable segmentation of medical free-text records based on word embeddings	6
Tell me what you Like: introducing natural language preference elicitation strategies in a virtual assistant for the movie domain	5
Enhancing E-learning effectiveness: a process mining approach for short-term tutorials	5
Attention-based hybrid CNN-LSTM and spectral data augmentation for COVID-19 diagnosis from cough sound	5
Textual and structural dual enhancement for knowledge graph completion with large language models	5
Expanding Normalized Systems from textual domain descriptions using TEMOS	5
Adaptive multi-round retrieval with knowledge distillation for sequential recommendation	5
Prediction of customer’s perception in social networks by integrating sentiment analysis and machine learning	5
Histograms as tools for mining actionable knowledge – principles and examples	5
T-shaped expert mining: a novel approach based on skill translation and focal loss	5
Meta learning-based relevant user identification and aggregation for cold-start recommendation	5
MMusic: a hierarchical multi-information fusion method for deep music recommendation	5
Incremental and accurate computation of machine learning models with smart data summarization	5
Generating textual explanations for scheduling systems leveraging the reasoning capabilities of large language models	4
Issues in clustering algorithm consistency in fixed dimensional spaces. Some solutions for k-means	4
How to deal with negative preferences in recommender systems: a theoretical framework	4
Session-aware recommender system using double deep reinforcement learning	4
Towards a soft three-level voting model (Soft T-LVM) for fake news detection	4
Generalized durative event detection on social media	4
Effect of attention and triplet loss on chart classification: a study on noisy charts and confusing chart pairs	4
A multi-objective optimization approach for session-based recommendation systems	4
Machine learning approaches to predict the execution time of the meteorological simulation software COSMO	4
PolyCard: A learned cardinality estimator for intersection queries on spatial polygons	4
Correction to: Deep learning based sentiment analysis of public perception of working from home through tweets	4
An interpretable model for sepsis prediction using multi-objective rule extraction	4
Efficient approximate top-k mutual information based feature selection	4
SI: methodologies for intelligent systems	4
A novel approach for software defect prediction using CNN and GRU based on SMOTE Tomek method	4
Learning recommendations from educational event data in higher education	4
Editorial: AI meets cybersecurity	3
A knowledge-enhanced interactive graph convolutional network for aspect-based sentiment analysis	3
A generic approach to extract object-centric event data from databases supporting SAP ERP	3
A context-aware unsupervised predictive maintenance solution for fleet management	3
Generative adversarial meta-learning knowledge graph completion for large-scale complex knowledge graphs	3
Information gain based dynamic support set construction for cold-start recommendation	3
TuckerDNCaching: high-quality negative sampling with tucker decomposition	3
A mutually enhanced multi-scale relation-aware graph convolutional network for argument pair extraction	3
User-controlled federated matrix factorization for recommender systems	3
MAA-PTG: multimodal aspect-aware product title generation	3
A comprehensive Benchmark for fake news detection	3
Exploring the trie of rules: a fast data structure for the representation of association rules	3
Summarizing consumer reviews	3
Early detection of fake news on emerging topics through weak supervision	3
Semi-supervised and ensemble learning to predict work-related stress	3
Towards scalable action rule discovery: a structured vertical partitioning method	3
ELECTRA-based graph network model for multi-hop question answering	3
Upper bounds for can-tree and FP-tree	3
Performance-preserving event log sampling for predictive monitoring	3
Neural network translations for building SentiWordNets	3
Offensive language identification with multi-task learning	3
A framework for interoperability between models with hybrid tools	2
Leveraging posts’ and authors’ metadata to spot several forms of abusive comments in Twitter	2
MLGAT: multi-layer graph attention networks for multimodal emotion recognition in conversations	2
Inter-organizational collaborative BPMN 2.0 business process discovery	2
Data-Centric AI	2
Detecting COVID-19 vaccine hesitancy in India: a multimodal transformer based approach	2
ERABQS: entity resolution based on active machine learning and balancing query strategy	2
An Ontology driven model for detection and classification of cardiac arrhythmias using ECG data	2
Semantic-aware fake news detection with heterogeneous graph attention	2
Topic enhanced sentiment co-attention BERT	2
A new knowledge discovery approach for mining business trade barriers	2
Interest-aware influence diffusion model for social recommendation	2
A parallel computing framework for real-time moving object detection on high resolution videos	2
BERT-PG: a two-branch associative feature gated filtering network for aspect sentiment classification	2

An empirical evaluation of active learning strategies for profile elicitation in a conversational recommender system	2
Obtaining synthetic indications and sorting relevant structures from complex hierarchical clusters of multivariate data	2
The detection of mental health conditions by incorporating external knowledge	2
Aspect-location attention networks for aspect-category sentiment analysis in social media	2
A quantum-like zero-shot approach for sentiment analysis in finance	2
Learning constraint orderings for direct diagnosis	2
Reinforcement negative sampling recommendation based on collaborative knowledge graph	2
IbLT: An effective granular computing framework for hierarchical community detection	2
EqBal-RS: Mitigating popularity bias in recommender systems	2
Enhancing the fairness of offensive memes detection models by mitigating unintended political bias	2
OVI-3: A NoSQL visual query system supporting efficient anti-joins	2
Enhanced density peak-based community detection algorithm	2
An improved recommendation based on graph convolutional network	2
An application of deep choice modeling for engagement maximization on Twitter/X	2
Self-training dual-network for denoising federated recommendation	2
A relational tsetlin machine with applications to natural language understanding	2
Using an explainable machine learning approach to prioritize factors contributing to healthcare professionals’ burnout	2
Learning autoencoder ensembles for detecting malware hidden communications in IoT ecosystems	2
User profiling and satisfaction inference in public information access services	2
Audio-based anomaly detection on edge devices via self-supervision and spectral analysis	2
A distantly supervised approach for enriching product graphs with user opinions	2
A distantly supervised approach for recognizing product mentions in user-generated content	2
Quantification of part-of-speech relationships for aspect sentiment triplet extraction	2
Parameters tuning of multi-model database based on deep reinforcement learning	2
Forecasting inpatient admissions in district hospitals: a hybrid model approach	2
Sports recommender systems: overview and research directions	2
Cross-lingual transfer of abstractive summarizer to less-resource language	2
Joint entity and relation extraction with fusion of multi-feature semantics	2