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 2020-04-01 to 2024-04-01.)
ArticleCitations
Recommender systems in the healthcare domain: state-of-the-art and research issues112
On data lake architectures and metadata management90
Multimodal depression detection on instagram considering time interval of posts42
A survey of Big Data dimensions vs Social Networks analysis36
Sentiment word co-occurrence and knowledge pair feature extraction based LDA short text clustering algorithm32
Community detection in complex networks using network embedding and gravitational search algorithm31
Modeling information diffusion in online social networks using a modified forest-fire model29
A novel scheme for employee churn problem using multi-attribute decision making approach and machine learning26
A comprehensive Benchmark for fake news detection25
RecogNet-LSTM+CNN: a hybrid network with attention mechanism for aspect categorization and sentiment classification24
Clustering-Aided Multi-View Classification: A Case Study on Android Malware Detection23
Financial markets sentiment analysis: developing a specialized Lexicon22
Attention-based hybrid CNN-LSTM and spectral data augmentation for COVID-19 diagnosis from cough sound21
Empirical study of sentiment analysis tools and techniques on societal topics19
Knowledge graph summarization impacts on movie recommendations18
Approaches and algorithms to mitigate cold start problems in recommender systems: a systematic literature review17
BERT-LSTM model for sarcasm detection in code-mixed social media post16
An overview of machine learning techniques in constraint solving15
Towards psychology-aware preference construction in recommender systems: Overview and research issues15
Depression detection from sMRI and rs-fMRI images using machine learning14
An enhanced opinion retrieval approach via implicit feature identification14
GNNRec: gated graph neural network for session-based social recommendation model14
SDDM: an interpretable statistical concept drift detection method for data streams12
Machine learning in industrial control system (ICS) security: current landscape, opportunities and challenges12
TSCMF: Temporal and social collective matrix factorization model for recommender systems12
Sequential group recommendations based on satisfaction and disagreement scores11
Sentimental and spatial analysis of COVID-19 vaccines tweets11
System for monitoring road slippery based on CCTV cameras and convolutional neural networks11
Forecasting and explaining emergency department visits in a public hospital11
Trajectory clustering method based on spatial-temporal properties for mobile social networks11
Deep learning based sentiment analysis of public perception of working from home through tweets11
Addressing the complexity of personalized, context-aware and health-aware food recommendations: an ensemble topic modelling based approach10
A case study comparing machine learning with statistical methods for time series forecasting: size matters10
How to raise artwork prices using action rules, personalization and artwork visual features10
Healthcare predictive analytics for disease progression: a longitudinal data fusion approach10
Exploring rich structure information for aspect-based sentiment classification10
Multi-task learning for toxic comment classification and rationale extraction10
A survey on data fusion: what for? in what form? what is next?10
ETM: Enrichment by topic modeling for automated clinical sentence classification to detect patients’ disease history10
Music emotion recognition using recurrent neural networks and pretrained models10
Enhancing aspect and opinion terms semantic relation for aspect sentiment triplet extraction9
SentiCode: A new paradigm for one-time training and global prediction in multilingual sentiment analysis9
Fake news detection based on statement conflict9
Applying MAPE-K control loops for adaptive workflow management in smart factories9
CAESAR: context-aware explanation based on supervised attention for service recommendations9
Prediction of customer’s perception in social networks by integrating sentiment analysis and machine learning8
Exploiting stance hierarchies for cost-sensitive stance detection of Web documents8
Two-stage sequential recommendation for side information fusion and long-term and short-term preferences modeling8
A relational tsetlin machine with applications to natural language understanding8
Leveraging siamese networks for one-shot intrusion detection model8
A survey on intention analysis: successful approaches and open challenges8
Using an auxiliary dataset to improve emotion estimation in users’ opinions8
Path-based reasoning with K-nearest neighbor and position embedding for knowledge graph completion8
A machine learning approach for performance-oriented decision support in service-oriented architectures8
Forecasting emergency department admissions8
Compacting frequent star patterns in RDF graphs7
Hierarchical reinforcement learning for efficient and effective automated penetration testing of large networks7
LDA-based term profiles for expert finding in a political setting7
Aspect extraction and classification for sentiment analysis in drug reviews6
Genre based hybrid filtering for movie recommendation engine6
Selecting the most helpful answers in online health question answering communities6
A sampling approach to Debiasing the offline evaluation of recommender systems6
CGSPN : cascading gated self-attention and phrase-attention network for sentence modeling6
User-controlled federated matrix factorization for recommender systems6
An image and text-based multimodal model for detecting fake news in OSN’s6
Incorporating communities’ structures in predictions of missing links6
Enhanced density peak-based community detection algorithm6
Distributed matrix factorization based on fast optimization for implicit feedback recommendation6
Coarse-grained decomposition and fine-grained interaction for multi-hop question answering6
Representing unstructured text semantics for reasoning purpose5
A minimum spanning tree based partitioning and merging technique for clustering heterogeneous data sets5
Efficient segmentation-based methods for anomaly detection in static and streaming time series under dynamic time warping5
Using reinforcement learning with external rewards for open-domain natural language generation5
User profiling and satisfaction inference in public information access services5
IbLT: An effective granular computing framework for hierarchical community detection5
Windows and IoT malware visualization and classification with deep CNN and Xception CNN using Markov images5
A framework for evaluating ontology meta-matching approaches5
Multi-class classification of COVID-19 documents using machine learning algorithms5
Leveraging contextual embeddings and self-attention neural networks with bi-attention for sentiment analysis5
A novel deep recommend model based on rating matrix and item attributes5
Hierarchy-based semantic embeddings for single-valued & multi-valued categorical variables5
A systematic review of question answering systems for non-factoid questions5
Interest-aware influence diffusion model for social recommendation5
Multilingual deep learning framework for fake news detection using capsule neural network5
A model for automated technological surveillance of web portals and social networks5
Topic modeling for sequential documents based on hybrid inter-document topic dependency5
A natural language querying interface for process mining4
DoWTS – Denial-of-Wallet Test Simulator: Synthetic data generation for preemptive defence4
Cross-lingual transfer of abstractive summarizer to less-resource language4
A knowledge-enhanced interactive graph convolutional network for aspect-based sentiment analysis4
How to deal with negative preferences in recommender systems: a theoretical framework4
Question retrieval using combined queries in community question answering4
Multimodal time-aware attention networks for depression detection4
Interpretable segmentation of medical free-text records based on word embeddings4
Uncertain distance-based outlier detection with arbitrarily shaped data objects4
An improved recommendation based on graph convolutional network4
Towards a soft three-level voting model (Soft T-LVM) for fake news detection4
Incremental and accurate computation of machine learning models with smart data summarization4
Content-Based Document Image Retrieval Based on Document Modeling4
On exploring feature representation learning of items to forecast their rise and fall in social media4
Research on telecom customer churn prediction based on ensemble learning4
A contextual-bandit approach for multifaceted reciprocal recommendations in online dating4
Leveraging autoencoders in change vector analysis of optical satellite images4
Finding discriminatory features from electronic health records for depression prediction4
Predicting temporary deal success with social media timing signals4
Performance-preserving event log sampling for predictive monitoring3
Leveraging posts’ and authors’ metadata to spot several forms of abusive comments in Twitter3
Community detection in weighted networks using probabilistic generative model3
Leveraging neighborhood and path information for influential spreaders recognition in complex networks3
Modeling and querying temporal RDF knowledge graphs with relational databases3
Reducing the user labeling effort in effective high recall tasks by fine-tuning active learning3
An empirical evaluation of active learning strategies for profile elicitation in a conversational recommender system3
Analyzing and improving stability of matrix factorization for recommender systems3
Stock market prediction with time series data and news headlines: a stacking ensemble approach3
LOD search engine: A semantic search over linked data3
FPGA supported rough set reduct calculation for big datasets3
TROMPA-MER: an open dataset for personalized music emotion recognition3
Making design decisions under uncertainties: probabilistic reasoning and robust product design3
Design of fully homomorphic multikey encryption scheme for secured cloud access and storage environment3
Smart integration of sensors, computer vision and knowledge representation for intelligent monitoring and verbal human-computer interaction3
Explanations for over-constrained problems using QuickXPlain with speculative executions3
MCD: A modified community diversity approach for detecting influential nodes in social networks3
Offensive language identification with multi-task learning2
ES-ASTE: enhanced span-level framework for aspect sentiment triplet extraction2
Can recurrent neural networks learn process model structure?2
A novel approach for software defect prediction using CNN and GRU based on SMOTE Tomek method2
Compact representations for efficient storage of semantic sensor data2
Issues in clustering algorithm consistency in fixed dimensional spaces. Some solutions for k-means2
Parsing argued opinion structure in Twitter content2
Case studies on using natural language processing techniques in customer relationship management software2
Improving knowledge-based dialogue generation through two-stage knowledge selection and knowledge selection-guided pointer network2
A framework for interoperability between models with hybrid tools2
An overview of actionable knowledge discovery techniques2
ELECTRA-based graph network model for multi-hop question answering2
The role of transitive closure in evaluating blocking methods for dirty entity resolution2
Detecting COVID-19 vaccine hesitancy in India: a multimodal transformer based approach2
Group event recommendation based on a heterogeneous attribute graph considering long- and short- term preferences2
An AI framework to support decisions on GDPR compliance2
Multi-perspective enriched instance graphs for next activity prediction through graph neural network2
Aspect-location attention networks for aspect-category sentiment analysis in social media2
Identifying multimodal misinformation leveraging novelty detection and emotion recognition2
Impact of techniques to reduce error in high error rule-based expert system gradient descent networks2
The detection of mental health conditions by incorporating external knowledge2
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