OOIR: Observatory of International Research

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 2021-05-01 to 2025-05-01.)

Article	Citations
Predicting temporary deal success with social media timing signals	47
Entity-aware answer sentence selection for question answering with transformer-based language models	47
A semiautomatic method for obtaining a predictive deep learning model and a rule-based system for abdominal aortic aneurysms	45
MhSa-GRU: combining user’s dynamic preferences and items’ correlation to augment sequence recommendation	43
Persuasive explanations for path reasoning recommendations	42
News dissemination: a semantic approach to barrier classification	40
Explaining the impact of design choices on model quality in predictive process monitoring	39
Leveraging neighborhood and path information for influential spreaders recognition in complex networks	35
Depression detection from sMRI and rs-fMRI images using machine learning	29
Exploring rich structure information for aspect-based sentiment classification	29
MYRTO: An efficient pervasive method for hybrid ML-based data filtered allocations	26
Fake news detection based on statement conflict	26
MF-EDNet: predicting stock market sector indices based on multi-feature fusion under emergency events	24
Analyzing and improving stability of matrix factorization for recommender systems	23
An image and text-based multimodal model for detecting fake news in OSN’s	23
Leveraging contextual embeddings and self-attention neural networks with bi-attention for sentiment analysis	22
Temporal knowledge graph completion based on product space and contrastive learning of commonsense	21
Clustering of renewable energy assets to optimize resource allocation and operational strategies	21
Deep learning approaches to lexical simplification: A survey	20
The more "similar" the happier: Augmenting text using similarity scoring with neural embeddings for happiness classification	19
Impact of techniques to reduce error in high error rule-based expert system gradient descent networks	19
A novel technique using graph neural networks and relevance scoring to improve the performance of knowledge graph-based question answering systems	19
Multi-task learning for toxic comment classification and rationale extraction	19
Improving the clarity of questions in Community Question Answering networks	18
3T-IEC*: a context-aware recommender system architecture for smart social networks (EBSN and SBSN)	18

Bi-knowledge views recommendation based on user-oriented contrastive learning	18
Multi-class classification of COVID-19 documents using machine learning algorithms	18
Making design decisions under uncertainties: probabilistic reasoning and robust product design	17
Transformer based multilingual joint learning framework for code-mixed and english sentiment analysis	15
Sentiment analysis of twitter data to detect and predict political leniency using natural language processing	15
Conversing with business process-aware large language models: the BPLLM framework	15
Multi-level language interaction transformer for multimodal sentiment analysis	15
FedGR: Cross-platform federated group recommendation system with hypergraph neural networks	15
Computing semantic similarity of texts by utilizing dependency graph	14
Research on telecom customer churn prediction based on ensemble learning	14
SESAME - self-supervised framework for extractive question answering over document collections	13
Dual-view embedding for hyper-relational knowledge graphs with hierarchical structure	13
Integrating control-theoretic predictive deep learning for resource-efficient computing systems	12
Ensemble time series models for stock price prediction and portfolio optimization with sentiment analysis	12
Group event recommendation based on a heterogeneous attribute graph considering long- and short- term preferences	12
Leveraging distant supervision and deep learning for twitter sentiment and emotion classification	12
Machine learning methods for predicting the admissions and hospitalisations in the emergency department of a civil and military hospital	11
How to raise artwork prices using action rules, personalization and artwork visual features	11
Detecting bipolar disorder on social media by post grouping and interpretable deep learning	11
Audio super-resolution via vision transformer	10
BMDF-SR: bidirectional multi-sequence decoupling fusion method for sequential recommendation	10
Word embedding for mixed-emotions analysis	10
Customer churn prediction for a webcast platform via a voting-based ensemble learning model with Nelder-Mead optimizer	10
Data- & compute-efficient deviance mining via active learning and fast ensembles	10
Frequency roughness analysis in image processing and game design	10
DoWTS – Denial-of-Wallet Test Simulator: Synthetic data generation for preemptive defence	10
A transformer-based framework for predicting geomagnetic indices with uncertainty quantification	9
EST transformer: enhanced spatiotemporal representation learning for time series anomaly detection	9
Graph attention networks with adaptive neighbor graph aggregation for cold-start recommendation	9
A data-driven situation-aware framework for predictive analysis in smart environments	9
Physics-guided approach with transfer learning in vehicle lateral dynamics	9
Design of fully homomorphic multikey encryption scheme for secured cloud access and storage environment	9
GNNRec: gated graph neural network for session-based social recommendation model	9
MaMiPot: a paradigm shift for the classification of imbalanced data	9
Stock price nowcasting and forecasting with deep learning	8
An overview of actionable knowledge discovery techniques	8
Approaches and algorithms to mitigate cold start problems in recommender systems: a systematic literature review	8
Two-stage sequential recommendation for side information fusion and long-term and short-term preferences modeling	8
Improving graph collaborative filtering with view explorer for social recommendation	8
Tiramisù: making sense of multi-faceted process information through time and space	8
Classroom teaching of tourism management using multimedia big data analysis	7
Performing arithmetic using a neural network trained on images of digit permutation pairs	7
Model-based decision support for knowledge-intensive processes	7
Dynamic memory-enhanced federated learning framework with trusted computing for multi-source data analysis	7
Semantic-enhanced reasoning question answering over temporal knowledge graphs	7
A contextual-bandit approach for multifaceted reciprocal recommendations in online dating	7
Identifying influential nodes using semi local isolating centrality based on average shortest path	7
Temporal knowledge completion enhanced self-supervised entity alignment	6
Interpretable segmentation of medical free-text records based on word embeddings	6
Finding a needle in a haystack: insights on feature selection for classification tasks	6

Enhancing E-learning effectiveness: a process mining approach for short-term tutorials	6
A systematic review of question answering systems for non-factoid questions	6
An overview of machine learning techniques in constraint solving	6
FPGA supported rough set reduct calculation for big datasets	6
Evidence-driven appraisal of students’ careers using process mining: a case study	6
Improved machine learning technique for feature reduction and its application in spam email detection	6
Editorial: recent advances in process analytics	6
Modeling and querying temporal RDF knowledge graphs with relational databases	6
Heuristic approaches for non-exhaustive pattern-based change detection in dynamic networks	6
Tell me what you Like: introducing natural language preference elicitation strategies in a virtual assistant for the movie domain	6