Journal of Intelligent Information Systems

Article	Citations
Histograms as tools for mining actionable knowledge – principles and examples	44
Audio super-resolution via vision transformer	43
Data- & compute-efficient deviance mining via active learning and fast ensembles	42
The detection of mental health conditions by incorporating external knowledge	40
Community detection in weighted networks using probabilistic generative model	39
Sentimental and spatial analysis of COVID-19 vaccines tweets	39
Multi-stage music separation network with dual-branch attention and hybrid convolution	37
Detecting COVID-19 vaccine hesitancy in India: a multimodal transformer based approach	30
Session-based recommendation with temporal dynamics for large volunteer networks	29
BMDF-SR: bidirectional multi-sequence decoupling fusion method for sequential recommendation	26
Stock market prediction with time series data and news headlines: a stacking ensemble approach	24
Persuasive explanations for path reasoning recommendations	24
EST transformer: enhanced spatiotemporal representation learning for time series anomaly detection	23
Evolvable transformation of knowledge graphs into human-oriented formats	23
Incremental and accurate computation of machine learning models with smart data summarization	23
Leveraging neighborhood and path information for influential spreaders recognition in complex networks	21
A qualitative analysis of knowledge graphs in recommendation scenarios through semantics-aware autoencoders	20
Customer churn prediction for a webcast platform via a voting-based ensemble learning model with Nelder-Mead optimizer	20
Frequency roughness analysis in image processing and game design	19
GIAD-ST: Detecting anomalies in human monitoring based on generative inpainting via self-supervised multi-task learning	18
Using an auxiliary dataset to improve emotion estimation in users’ opinions	18
Smart integration of sensors, computer vision and knowledge representation for intelligent monitoring and verbal human-computer interaction	18
Efficient approximate top-k mutual information based feature selection	18
A quantum-like zero-shot approach for sentiment analysis in finance	17
User profiling and satisfaction inference in public information access services	16

Word embedding for mixed-emotions analysis	15
MhSa-GRU: combining user’s dynamic preferences and items’ correlation to augment sequence recommendation	15
Entity-aware answer sentence selection for question answering with transformer-based language models	15
Learning autoencoder ensembles for detecting malware hidden communications in IoT ecosystems	14
Learning recommendations from educational event data in higher education	14
A semiautomatic method for obtaining a predictive deep learning model and a rule-based system for abdominal aortic aneurysms	14
Audio-based anomaly detection on edge devices via self-supervision and spectral analysis	14
News dissemination: a semantic approach to barrier classification	14
A relational tsetlin machine with applications to natural language understanding	13
Explaining the impact of design choices on model quality in predictive process monitoring	13
Improving information retrieval through correspondence analysis instead of latent semantic analysis	13
Predicting temporary deal success with social media timing signals	12
A model for automated technological surveillance of web portals and social networks	11
A novel deep recommend model based on rating matrix and item attributes	11
MLLM4Rec : multimodal information enhancing LLM for sequential recommendation	11
Correction to: Deep learning based sentiment analysis of public perception of working from home through tweets	10
EqBal-RS: Mitigating popularity bias in recommender systems	10
GNNRec: gated graph neural network for session-based social recommendation model	10
Enhancing the fairness of offensive memes detection models by mitigating unintended political bias	10
DoWTS – Denial-of-Wallet Test Simulator: Synthetic data generation for preemptive defence	9
Depression detection from sMRI and rs-fMRI images using machine learning	9
MMusic: a hierarchical multi-information fusion method for deep music recommendation	9
Forecasting inpatient admissions in district hospitals: a hybrid model approach	8
A case study comparing machine learning with statistical methods for time series forecasting: size matters	8
Multi-task learning and mutual information maximization with crossmodal transformer for multimodal sentiment analysis	8
Enhancing user experience: a content-based recommendation approach for addressing cold start in music recommendation	8
MLGAT: multi-layer graph attention networks for multimodal emotion recognition in conversations	8
Leveraging posts’ and authors’ metadata to spot several forms of abusive comments in Twitter	8
Graph attention networks with adaptive neighbor graph aggregation for cold-start recommendation	8
Attention-based hybrid CNN-LSTM and spectral data augmentation for COVID-19 diagnosis from cough sound	8
Data-Centric AI	8
Deep learning approaches to lexical simplification: A survey	8
Machine learning approaches to predict the execution time of the meteorological simulation software COSMO	8
The role of transitive closure in evaluating blocking methods for dirty entity resolution	7
Design of fully homomorphic multikey encryption scheme for secured cloud access and storage environment	7
Towards a soft three-level voting model (Soft T-LVM) for fake news detection	7
Topic enhanced sentiment co-attention BERT	7
Effect of attention and triplet loss on chart classification: a study on noisy charts and confusing chart pairs	7
How to deal with negative preferences in recommender systems: a theoretical framework	6
Top-N music recommendation framework for precision and novelty under diversity group size and similarity	6
Stock price nowcasting and forecasting with deep learning	6
Clustering of renewable energy assets to optimize resource allocation and operational strategies	6
Improving graph collaborative filtering with view explorer for social recommendation	6
Fake news detection based on statement conflict	6
Obtaining synthetic indications and sorting relevant structures from complex hierarchical clusters of multivariate data	6
MaMiPot: a paradigm shift for the classification of imbalanced data	6
Multi-view subspace text clustering	6
Intentional tendency-based dynamic heterogeneous graph network for emotion recognition in conversations	6
Prompted and integrated textual information enhancing aspect-based sentiment analysis	6
Analyzing and improving stability of matrix factorization for recommender systems	6

MYRTO: An efficient pervasive method for hybrid ML-based data filtered allocations	6
A transformer-based framework for predicting geomagnetic indices with uncertainty quantification	6
Temporal knowledge graph completion based on product space and contrastive learning of commonsense	6
Mining emotion-aware sequential rules at user-level from micro-blogs	5
An interpretable model for sepsis prediction using multi-objective rule extraction	5
Issues in clustering algorithm consistency in fixed dimensional spaces. Some solutions for k-means	5
Two-stage sequential recommendation for side information fusion and long-term and short-term preferences modeling	5
Exploring rich structure information for aspect-based sentiment classification	5
Generalized durative event detection on social media	5
Coarse-grained decomposition and fine-grained interaction for multi-hop question answering	5
Selecting the most helpful answers in online health question answering communities	5
CMC-MMR: multi-modal recommendation model with cross-modal correction	5
Inter-organizational collaborative BPMN 2.0 business process discovery	5
Leveraging contextual embeddings and self-attention neural networks with bi-attention for sentiment analysis	5
How can text mining improve the explainability of Food security situations?	5
Addressing the complexity of personalized, context-aware and health-aware food recommendations: an ensemble topic modelling based approach	5
A data-driven situation-aware framework for predictive analysis in smart environments	5
Using an explainable machine learning approach to prioritize factors contributing to healthcare professionals’ burnout	5
Impact of techniques to reduce error in high error rule-based expert system gradient descent networks	4
SI: methodologies for intelligent systems	4
TSUNAMI - an explainable PPM approach for customer churn prediction in evolving retail data environments	4
Approaches and algorithms to mitigate cold start problems in recommender systems: a systematic literature review	4
Improving graph collaborative filtering with multimodal-side-information-enriched contrastive learning	4
An image and text-based multimodal model for detecting fake news in OSN’s	4
An improved recommendation based on graph convolutional network	4
Bi-knowledge views recommendation based on user-oriented contrastive learning	4
Session-aware recommender system using double deep reinforcement learning	3
Aspect-location attention networks for aspect-category sentiment analysis in social media	3
3T-IEC*: a context-aware recommender system architecture for smart social networks (EBSN and SBSN)	3
An overview of actionable knowledge discovery techniques	3
Improving the clarity of questions in Community Question Answering networks	3
Fine-grained relation contrast enhancement of knowledge graph for recommendation	3
Local feature selection for multiple instance learning	3
Multi-class classification of COVID-19 documents using machine learning algorithms	3
The more "similar" the happier: Augmenting text using similarity scoring with neural embeddings for happiness classification	3
Multi-task learning for toxic comment classification and rationale extraction	3
An application of deep choice modeling for engagement maximization on Twitter/X	3
PolyCard: A learned cardinality estimator for intersection queries on spatial polygons	3
Extractive text-image summarization with relation-enhanced graph attention network	3
C-GDN: core features activated graph dual-attention network for personalized recommendation	3
Leveraging autoencoders in change vector analysis of optical satellite images	3
Music emotion recognition using recurrent neural networks and pretrained models	3
A novel technique using graph neural networks and relevance scoring to improve the performance of knowledge graph-based question answering systems	3
Semantic event relationships identification and representation using HyperGraph in multimedia digital ecosystem	3
Multi-agent deep reinforcement learning for computation offloading in cooperative edge network	3
A knowledge-enhanced interactive graph convolutional network for aspect-based sentiment analysis	3
Relation representation based on private and shared features for adaptive few-shot link prediction	3
Enhancing sentiment and emotion translation of review text through MLM knowledge integration in NMT	3
Federated learning-based misbehavior classification system for VANET intrusion detection	2
Performance-preserving event log sampling for predictive monitoring	2
Upper bounds for can-tree and FP-tree	2
Self-training dual-network for denoising federated recommendation	2
Identifying multimodal misinformation leveraging novelty detection and emotion recognition	2
Machine learning in industrial control system (ICS) security: current landscape, opportunities and challenges	2
Exploiting stance hierarchies for cost-sensitive stance detection of Web documents	2
Tiramisù: making sense of multi-faceted process information through time and space	2
A context-aware unsupervised predictive maintenance solution for fleet management	2
Multilingual deep learning framework for fake news detection using capsule neural network	2
Classroom teaching of tourism management using multimedia big data analysis	2
Conversing with business process-aware large language models: the BPLLM framework	2
ES-ASTE: enhanced span-level framework for aspect sentiment triplet extraction	2
FedGR: Cross-platform federated group recommendation system with hypergraph neural networks	2
A framework for interoperability between models with hybrid tools	2
ELECTRA-based graph network model for multi-hop question answering	2
Towards psychology-aware preference construction in recommender systems: Overview and research issues	2
Path-based reasoning with K-nearest neighbor and position embedding for knowledge graph completion	2
Knowledge graph summarization impacts on movie recommendations	2
Performing arithmetic using a neural network trained on images of digit permutation pairs	2
Sentiment analysis of twitter data to detect and predict political leniency using natural language processing	2
An empirical evaluation of active learning strategies for profile elicitation in a conversational recommender system	2
Multi-level language interaction transformer for multimodal sentiment analysis	2
Enhancing data preparation: insights from a time series case study	2
Reducing the user labeling effort in effective high recall tasks by fine-tuning active learning	2
Making design decisions under uncertainties: probabilistic reasoning and robust product design	2
User-controlled federated matrix factorization for recommender systems	2
Can recurrent neural networks learn process model structure?	2
A novel approach for software defect prediction using CNN and GRU based on SMOTE Tomek method	2
Joint entity and relation extraction with fusion of multi-feature semantics	2
Semantic-enhanced reasoning question answering over temporal knowledge graphs	2
Multi-perspective enriched instance graphs for next activity prediction through graph neural network	2

Cross-lingual transfer of abstractive summarizer to less-resource language	2
Sports recommender systems: overview and research directions	2
A parallel computing framework for real-time moving object detection on high resolution videos	2