OOIR: Observatory of International Research

Papers

(The TQCC of Journal of Intelligent Information Systems is 5. 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 2021-02-01 to 2025-02-01.)

Article	Citations
Data-Centric AI	32
Histograms as tools for mining actionable knowledge – principles and examples	31
Audio super-resolution via vision transformer	31
Learning autoencoder ensembles for detecting malware hidden communications in IoT ecosystems	30
Data- & compute-efficient deviance mining via active learning and fast ensembles	28
A novel deep recommend model based on rating matrix and item attributes	25
MLGAT: multi-layer graph attention networks for multimodal emotion recognition in conversations	23
SDDM: an interpretable statistical concept drift detection method for data streams	22
The detection of mental health conditions by incorporating external knowledge	22
MhSa-GRU: combining user’s dynamic preferences and items’ correlation to augment sequence recommendation	21
A relational tsetlin machine with applications to natural language understanding	20
Detecting COVID-19 vaccine hesitancy in India: a multimodal transformer based approach	16
Word embedding for mixed-emotions analysis	16
Community detection in weighted networks using probabilistic generative model	16
User profiling and satisfaction inference in public information access services	15
Smart integration of sensors, computer vision and knowledge representation for intelligent monitoring and verbal human-computer interaction	15
EqBal-RS: Mitigating popularity bias in recommender systems	15
Forecasting emergency department admissions	14
Multi-stage music separation network with dual-branch attention and hybrid convolution	14
Session-based recommendation with temporal dynamics for large volunteer networks	13
Attention-based hybrid CNN-LSTM and spectral data augmentation for COVID-19 diagnosis from cough sound	13
Audio-based anomaly detection on edge devices via self-supervision and spectral analysis	13
Evolvable transformation of knowledge graphs into human-oriented formats	13
A semiautomatic method for obtaining a predictive deep learning model and a rule-based system for abdominal aortic aneurysms	13
DoWTS – Denial-of-Wallet Test Simulator: Synthetic data generation for preemptive defence	12

BMDF-SR: bidirectional multi-sequence decoupling fusion method for sequential recommendation	12
Persuasive explanations for path reasoning recommendations	12
GIAD-ST: Detecting anomalies in human monitoring based on generative inpainting via self-supervised multi-task learning	11
Incremental and accurate computation of machine learning models with smart data summarization	11
Explaining the impact of design choices on model quality in predictive process monitoring	11
Learning recommendations from educational event data in higher education	11
Depression detection from sMRI and rs-fMRI images using machine learning	11
Entity-aware answer sentence selection for question answering with transformer-based language models	11
Stock market prediction with time series data and news headlines: a stacking ensemble approach	11
Using an auxiliary dataset to improve emotion estimation in users’ opinions	10
Predicting temporary deal success with social media timing signals	10
Leveraging neighborhood and path information for influential spreaders recognition in complex networks	10
A model for automated technological surveillance of web portals and social networks	10
Enhancing the fairness of offensive memes detection models by mitigating unintended political bias	9
A qualitative analysis of knowledge graphs in recommendation scenarios through semantics-aware autoencoders	9
Customer churn prediction for a webcast platform via a voting-based ensemble learning model with Nelder-Mead optimizer	9
Sentimental and spatial analysis of COVID-19 vaccines tweets	8
MMusic: a hierarchical multi-information fusion method for deep music recommendation	8
Improving information retrieval through correspondence analysis instead of latent semantic analysis	8
Efficient approximate top-k mutual information based feature selection	8
News dissemination: a semantic approach to barrier classification	8
Frequency roughness analysis in image processing and game design	8
MLLM4Rec : multimodal information enhancing LLM for sequential recommendation	8
Correction to: Deep learning based sentiment analysis of public perception of working from home through tweets	7
Design of fully homomorphic multikey encryption scheme for secured cloud access and storage environment	7
Analyzing and improving stability of matrix factorization for recommender systems	7
GNNRec: gated graph neural network for session-based social recommendation model	7
A quantum-like zero-shot approach for sentiment analysis in finance	7
Two-stage sequential recommendation for side information fusion and long-term and short-term preferences modeling	7
A case study comparing machine learning with statistical methods for time series forecasting: size matters	7
EST transformer: enhanced spatiotemporal representation learning for time series anomaly detection	7
Issues in clustering algorithm consistency in fixed dimensional spaces. Some solutions for k-means	7
Using an explainable machine learning approach to prioritize factors contributing to healthcare professionals’ burnout	6
Effect of attention and triplet loss on chart classification: a study on noisy charts and confusing chart pairs	6
MaMiPot: a paradigm shift for the classification of imbalanced data	6
TSUNAMI - an explainable PPM approach for customer churn prediction in evolving retail data environments	6
Impact of techniques to reduce error in high error rule-based expert system gradient descent networks	6
A transformer-based framework for predicting geomagnetic indices with uncertainty quantification	6
Topic enhanced sentiment co-attention BERT	6
Prompted and integrated textual information enhancing aspect-based sentiment analysis	6
Machine learning approaches to predict the execution time of the meteorological simulation software COSMO	6
How can text mining improve the explainability of Food security situations?	6
Obtaining synthetic indications and sorting relevant structures from complex hierarchical clusters of multivariate data	6
Leveraging contextual embeddings and self-attention neural networks with bi-attention for sentiment analysis	6
Selecting the most helpful answers in online health question answering communities	6
Generalized durative event detection on social media	5
Temporal knowledge graph completion based on product space and contrastive learning of commonsense	5
Coarse-grained decomposition and fine-grained interaction for multi-hop question answering	5
Top-N music recommendation framework for precision and novelty under diversity group size and similarity	5
Stock price nowcasting and forecasting with deep learning	5

The role of transitive closure in evaluating blocking methods for dirty entity resolution	5
Mining emotion-aware sequential rules at user-level from micro-blogs	5
Forecasting inpatient admissions in district hospitals: a hybrid model approach	5
Clustering of renewable energy assets to optimize resource allocation and operational strategies	5
Addressing the complexity of personalized, context-aware and health-aware food recommendations: an ensemble topic modelling based approach	5