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 2021-04-01 to 2025-04-01.)
ArticleCitations
Histograms as tools for mining actionable knowledge – principles and examples44
Audio super-resolution via vision transformer43
Data- & compute-efficient deviance mining via active learning and fast ensembles42
The detection of mental health conditions by incorporating external knowledge40
Community detection in weighted networks using probabilistic generative model39
Sentimental and spatial analysis of COVID-19 vaccines tweets39
Multi-stage music separation network with dual-branch attention and hybrid convolution37
Detecting COVID-19 vaccine hesitancy in India: a multimodal transformer based approach30
Session-based recommendation with temporal dynamics for large volunteer networks29
BMDF-SR: bidirectional multi-sequence decoupling fusion method for sequential recommendation26
Persuasive explanations for path reasoning recommendations24
Stock market prediction with time series data and news headlines: a stacking ensemble approach24
Incremental and accurate computation of machine learning models with smart data summarization23
EST transformer: enhanced spatiotemporal representation learning for time series anomaly detection23
Evolvable transformation of knowledge graphs into human-oriented formats23
Leveraging neighborhood and path information for influential spreaders recognition in complex networks21
Customer churn prediction for a webcast platform via a voting-based ensemble learning model with Nelder-Mead optimizer20
A qualitative analysis of knowledge graphs in recommendation scenarios through semantics-aware autoencoders20
Frequency roughness analysis in image processing and game design19
Smart integration of sensors, computer vision and knowledge representation for intelligent monitoring and verbal human-computer interaction18
Efficient approximate top-k mutual information based feature selection18
GIAD-ST: Detecting anomalies in human monitoring based on generative inpainting via self-supervised multi-task learning18
Using an auxiliary dataset to improve emotion estimation in users’ opinions18
A quantum-like zero-shot approach for sentiment analysis in finance17
User profiling and satisfaction inference in public information access services16
Entity-aware answer sentence selection for question answering with transformer-based language models15
Word embedding for mixed-emotions analysis15
MhSa-GRU: combining user’s dynamic preferences and items’ correlation to augment sequence recommendation15
News dissemination: a semantic approach to barrier classification14
Learning autoencoder ensembles for detecting malware hidden communications in IoT ecosystems14
Learning recommendations from educational event data in higher education14
A semiautomatic method for obtaining a predictive deep learning model and a rule-based system for abdominal aortic aneurysms14
Audio-based anomaly detection on edge devices via self-supervision and spectral analysis14
A relational tsetlin machine with applications to natural language understanding13
Explaining the impact of design choices on model quality in predictive process monitoring13
Improving information retrieval through correspondence analysis instead of latent semantic analysis13
Predicting temporary deal success with social media timing signals12
MLLM4Rec : multimodal information enhancing LLM for sequential recommendation11
A model for automated technological surveillance of web portals and social networks11
A novel deep recommend model based on rating matrix and item attributes11
Enhancing the fairness of offensive memes detection models by mitigating unintended political bias10
Correction to: Deep learning based sentiment analysis of public perception of working from home through tweets10
EqBal-RS: Mitigating popularity bias in recommender systems10
GNNRec: gated graph neural network for session-based social recommendation model10
MMusic: a hierarchical multi-information fusion method for deep music recommendation9
DoWTS – Denial-of-Wallet Test Simulator: Synthetic data generation for preemptive defence9
Depression detection from sMRI and rs-fMRI images using machine learning9
Attention-based hybrid CNN-LSTM and spectral data augmentation for COVID-19 diagnosis from cough sound8
Data-Centric AI8
Deep learning approaches to lexical simplification: A survey8
Machine learning approaches to predict the execution time of the meteorological simulation software COSMO8
Forecasting inpatient admissions in district hospitals: a hybrid model approach8
A case study comparing machine learning with statistical methods for time series forecasting: size matters8
Multi-task learning and mutual information maximization with crossmodal transformer for multimodal sentiment analysis8
Enhancing user experience: a content-based recommendation approach for addressing cold start in music recommendation8
MLGAT: multi-layer graph attention networks for multimodal emotion recognition in conversations8
Leveraging posts’ and authors’ metadata to spot several forms of abusive comments in Twitter8
Graph attention networks with adaptive neighbor graph aggregation for cold-start recommendation8
Effect of attention and triplet loss on chart classification: a study on noisy charts and confusing chart pairs7
The role of transitive closure in evaluating blocking methods for dirty entity resolution7
Design of fully homomorphic multikey encryption scheme for secured cloud access and storage environment7
Towards a soft three-level voting model (Soft T-LVM) for fake news detection7
Topic enhanced sentiment co-attention BERT7
MYRTO: An efficient pervasive method for hybrid ML-based data filtered allocations6
A transformer-based framework for predicting geomagnetic indices with uncertainty quantification6
Temporal knowledge graph completion based on product space and contrastive learning of commonsense6
How to deal with negative preferences in recommender systems: a theoretical framework6
Top-N music recommendation framework for precision and novelty under diversity group size and similarity6
Stock price nowcasting and forecasting with deep learning6
Clustering of renewable energy assets to optimize resource allocation and operational strategies6
Improving graph collaborative filtering with view explorer for social recommendation6
Fake news detection based on statement conflict6
Obtaining synthetic indications and sorting relevant structures from complex hierarchical clusters of multivariate data6
MaMiPot: a paradigm shift for the classification of imbalanced data6
Multi-view subspace text clustering6
Intentional tendency-based dynamic heterogeneous graph network for emotion recognition in conversations6
Prompted and integrated textual information enhancing aspect-based sentiment analysis6
Analyzing and improving stability of matrix factorization for recommender systems6
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