OOIR: Observatory of International Research

Papers

(The TQCC of Journal of Intelligent Information Systems is 7. 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 2022-06-01 to 2026-06-01.)

Article	Citations
A semiautomatic method for obtaining a predictive deep learning model and a rule-based system for abdominal aortic aneurysms	104
Persuasive explanations for path reasoning recommendations	79
CMKF:Multimodal emotion recognition in conversations based on CoMamba and KAN-Fuse	58
Leveraging neighborhood and path information for influential spreaders recognition in complex networks	58
On the performance of large language models on introductory programming assignments	54
Entity-aware answer sentence selection for question answering with transformer-based language models	50
FinSent-DistillQ: A distilled large language model with chain-of-thought fine-tuning for financial sentiment analysis	49
Explaining the impact of design choices on model quality in predictive process monitoring	39
Correction to: Evaluating user story quality with LLMs: a comparative study	35
MhSa-GRU: combining user’s dynamic preferences and items’ correlation to augment sequence recommendation	32
News dissemination: a semantic approach to barrier classification	32
Generation method of suspense stories based on new-type inference	31
TCM_DiffPR: knowledge graph diffusion model for personalized traditional Chinese medicine recommendation	31
MYRTO: An efficient pervasive method for hybrid ML-based data filtered allocations	29
TempRAA: temporal relation-aware alignment for enhancing LLMs reasoning in time-sensitive knowledge graph question answering	28
MF-EDNet: predicting stock market sector indices based on multi-feature fusion under emergency events	28
LLIMONIIE: Large Language Instructed Model for Open Named Italian Information Extraction	26
Framework for grouping local process models	25
Clustering of renewable energy assets to optimize resource allocation and operational strategies	25
Deep learning approaches to lexical simplification: A survey	24
An image and text-based multimodal model for detecting fake news in OSN’s	23
Exploring rich structure information for aspect-based sentiment classification	23
A hybrid location-based recommender system for trip planning and mobility using geo-tagged media	21
Temporal knowledge graph completion based on product space and contrastive learning of commonsense	21
FuDGE: Modeling full dynamic graph evolution	20

Multi-class classification of COVID-19 documents using machine learning algorithms	20
Fine-tuning LLMs for answer set programming	19
3T-IEC*: a context-aware recommender system architecture for smart social networks (EBSN and SBSN)	19
Bi-knowledge views recommendation based on user-oriented contrastive learning	18
A novel technique using graph neural networks and relevance scoring to improve the performance of knowledge graph-based question answering systems	18
Improving the clarity of questions in Community Question Answering networks	18
Casting criminals: a framework for evaluating demographic bias in AI-generated narratives	18
Sentiment analysis of twitter data to detect and predict political leniency using natural language processing	17
The more "similar" the happier: Augmenting text using similarity scoring with neural embeddings for happiness classification	16
Research on telecom customer churn prediction based on ensemble learning	15
Leveraging knowledge graphs and LLMs for content-based reviewer assignment	15
Multi-level language interaction transformer for multimodal sentiment analysis	15
Conversing with business process-aware large language models: the BPLLM framework	15
FedGR: Cross-platform federated group recommendation system with hypergraph neural networks	15
Multi-task learning for toxic comment classification and rationale extraction	15
Learning resource recommendation models based on learning behaviors and hierarchical structure graph	15
Leveraging large language models, graph neural networks, and explainable AI for revolutionizing the next-generation network intrusion detection systems	14
Transformer based multilingual joint learning framework for code-mixed and english sentiment analysis	14
Integrating control-theoretic predictive deep learning for resource-efficient computing systems	14
Benchmarking state of the art website embedding methods for effective processing and analysis in the public sector	13
Unveiling Sustainable Agriculture: An Ensemble Approach for Precision Crop and Fertilizer Recommendation with Local Interpretable Model-Agnostic Explanations	13
Dual-view embedding for hyper-relational knowledge graphs with hierarchical structure	13
SESAME - self-supervised framework for extractive question answering over document collections	12
Group event recommendation based on a heterogeneous attribute graph considering long- and short- term preferences	12
Context-aware chatbot for personal healthcare assistance using LLMs and LangChain	12
Computing semantic similarity of texts by utilizing dependency graph	12
Detecting bipolar disorder on social media by post grouping and interpretable deep learning	12
Leveraging distant supervision and deep learning for twitter sentiment and emotion classification	12
Ensemble time series models for stock price prediction and portfolio optimization with sentiment analysis	12
RGDF: a structure-aware lightweight fusion for efficient and accurate knowledge graph completion	12
An optimizer derived from Halpern’s method for enhanced neural network convergence and reduced carbon emissions	12
BMDF-SR: bidirectional multi-sequence decoupling fusion method for sequential recommendation	11
Machine learning methods for predicting the admissions and hospitalisations in the emergency department of a civil and military hospital	11
DoWTS – Denial-of-Wallet Test Simulator: Synthetic data generation for preemptive defence	11
Audio super-resolution via vision transformer	10
Physics-guided approach with transfer learning in vehicle lateral dynamics	10
Evidence selection via multi-aspect query diversification for cross-document relation extraction	10
Data- & compute-efficient deviance mining via active learning and fast ensembles	10
EST transformer: enhanced spatiotemporal representation learning for time series anomaly detection	10
Customer churn prediction for a webcast platform via a voting-based ensemble learning model with Nelder-Mead optimizer	10
Word embedding for mixed-emotions analysis	9
TransEdge: a lightweight transformer-based anomaly detection framework for edge devices	9
MFLP: Overlapping community detection by multi-level fast label propagation	9
GNNRec: gated graph neural network for session-based social recommendation model	9
Enhancing SQL generation through high-quality logical guidance	9
TPLI: Transformation-partitioned learned index for multi-domain key-value stores	9
MaMiPot: a paradigm shift for the classification of imbalanced data	9
FactualRAG: a RAG-Powered framework for LLM fact-checking via IFCN-Accredited sources	8
Special issue on intelligent systems, ISMIS’24 selected papers	8
A resistance distance approach to community detection in complex networks with key node identification	8

A transformer-based framework for predicting geomagnetic indices with uncertainty quantification	8
Improving graph collaborative filtering with view explorer for social recommendation	8
A data-driven situation-aware framework for predictive analysis in smart environments	8
Stock price nowcasting and forecasting with deep learning	8
KQFV: a knowledge-enhanced method using question answering for fact verification	8
Two-stage sequential recommendation for side information fusion and long-term and short-term preferences modeling	8
Active learning for LLM-based recommender systems	8
Graph attention networks with adaptive neighbor graph aggregation for cold-start recommendation	8
Frequency-aware experts with multi-stage fusion for multimodal sentiment analysis	7
Handling concept drifts with traditional process discovery algorithms	7
SKT-SQL: multi-decoupling and skeleton prompt framework for text-to-SQL on small-scale LMs	7
Semantic-enhanced reasoning question answering over temporal knowledge graphs	7
Cross-distillation-based approach for detecting poisoning attacks in recommender systems	7
Dynamic memory-enhanced federated learning framework with trusted computing for multi-source data analysis	7
Identifying influential nodes using semi local isolating centrality based on average shortest path	7
Distance-based change point detection for novelty detection in concept-agnostic continual anomaly detection	7
A contextual-bandit approach for multifaceted reciprocal recommendations in online dating	7
Model-based decision support for knowledge-intensive processes	7
Hybrid transformer-based recommender system for political news	7
Redefining edge representations for enhanced information propagation on GNNs	7
Tensor decomposition based lightweight residual fusion for Multimodal sentiment understanding	7
Tiramisù: making sense of multi-faceted process information through time and space	7