Graph attention networks with adaptive neighbor graph aggregation for cold-start recommendation

2024-9-18

CONCORD: enhancing COVID-19 research with weak-supervision based numerical claim extraction

2024-9-17

Enhancing user experience: a content-based recommendation approach for addressing cold start in music recommendation

2024-9-13

Detecting bipolar disorder on social media by post grouping and interpretable deep learning

2024-9-11

DIAMANTE: A data-centric semantic segmentation approach to map tree dieback induced by bark beetle infestations via satellite images

2024-9-4

Pathways to success: a machine learning approach to predicting investor dynamics in equity and lending crowdfunding campaigns

2024-9-3

Deep learning approaches to lexical simplification: A survey

2024-9-2

Machine learning approaches to predict the execution time of the meteorological simulation software COSMO

2024-8-31

Span-based semantic syntactic dual enhancement for aspect sentiment triplet extraction

2024-8-22

Tiramisù: making sense of multi-faceted process information through time and space

2024-8-14

Learning recommendations from educational event data in higher education

2024-8-13

Temporal knowledge completion enhanced self-supervised entity alignment

2024-8-13

Enhancing E-learning effectiveness: a process mining approach for short-term tutorials

2024-8-8

Improved machine learning technique for feature reduction and its application in spam email detection

2024-8-7

Joint entity and relation extraction with fusion of multi-feature semantics

2024-8-1

Special issue on intelligent systems

2024-7-30

SESAME - self-supervised framework for extractive question answering over document collections

2024-7-30

Enhancing data preparation: insights from a time series case study

2024-7-25

Multi-task learning and mutual information maximization with crossmodal transformer for multimodal sentiment analysis

2024-7-10

Heuristic approaches for non-exhaustive pattern-based change detection in dynamic networks

2024-7-2

Improving graph collaborative filtering with view explorer for social recommendation

2024-6-26

Scalable computing for large-scale multimedia data analytics

2024-6-21

Using an explainable machine learning approach to prioritize factors contributing to healthcare professionals’ burnout

2024-6-12

Improving search and rescue planning and resource allocation through case-based and concept-based retrieval

2024-6-1

Generative adversarial meta-learning knowledge graph completion for large-scale complex knowledge graphs

2024-5-28

Sports recommender systems: overview and research directions

2024-5-23

Aspect sentiment triplet extraction based on data augmentation and task feedback

2024-5-20

Improving the clarity of questions in Community Question Answering networks

2024-5-2

An interpretable model for sepsis prediction using multi-objective rule extraction

2024-4-22

Relation representation based on private and shared features for adaptive few-shot link prediction

2024-4-10

ERABQS: entity resolution based on active machine learning and balancing query strategy

2024-3-26

Exploring and mitigating gender bias in book recommender systems with explicit feedback

2024-3-25

Leveraging distant supervision and deep learning for twitter sentiment and emotion classification

2024-3-22

Knowledge-aware adaptive graph network for commonsense question answering

2024-3-19

A motif-based probabilistic approach for community detection in complex networks

2024-3-16

Early detection of fake news on emerging topics through weak supervision

2024-3-15

A hybrid recognition framework of crucial seed spreaders in complex networks with neighborhood overlap

2024-3-15

Ensemble of temporal Transformers for financial time series

2024-3-2

Enhancing sentiment and emotion translation of review text through MLM knowledge integration in NMT

2024-2-29

CMC-MMR: multi-modal recommendation model with cross-modal correction

2024-2-20

Querying knowledge graphs through positive and negative examples and feedback

2024-2-15

Semantic-enhanced reasoning question answering over temporal knowledge graphs

2024-2-2

KIMedQA: towards building knowledge-enhanced medical QA models

2024-1-25

Data- & compute-efficient deviance mining via active learning and fast ensembles

2024-1-23

A novel technique using graph neural networks and relevance scoring to improve the performance of knowledge graph-based question answering systems

2024-1-22

Sentiment analysis of twitter data to detect and predict political leniency using natural language processing

2024-1-19

A qualitative analysis of knowledge graphs in recommendation scenarios through semantics-aware autoencoders

2024-1-19

Movie tag prediction: An extreme multi-label multi-modal transformer-based solution with explanation

2024-1-6

Enhancing the fairness of offensive memes detection models by mitigating unintended political bias

2024-1-6

TSUNAMI - an explainable PPM approach for customer churn prediction in evolving retail data environments

2023-12-28