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Genomic mutations and changes in protein secondary structure and solvent accessibility of SARS-CoV-2 (COVID-19 virus)

Scientific reports, 2021-02, Vol.11 (1), p.3487-3487, Article 3487

2021

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Handling probabilistic integrity constraints in pay-as-you-go reconciliation of data models

Information systems (Oxford), 2019-07, Vol.83, p.166-180

2019

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Entity Alignment for Knowledge Graphs With Multi-Order Convolutional Networks

IEEE transactions on knowledge and data engineering, 2022-09, Vol.34 (9), p.4201-4214

2022

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Learning Holistic Interactions in LBSNs With High-Order, Dynamic, and Multi-Role Contexts

IEEE transactions on knowledge and data engineering, 2023-05, Vol.35 (5), p.5002-5016

2023

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User guidance for efficient fact checking

Proceedings of the VLDB Endowment, 2019-04, Vol.12 (8), p.850-863

2019

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Deep learning for deepfakes creation and detection: A survey

Computer vision and image understanding, 2022-10, Vol.223, p.103525, Article 103525

2022

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Detecting rumours with latency guarantees using massive streaming data

The VLDB journal, 2023-03, Vol.32 (2), p.369-387

2023

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Mobi-SAGE-RS: A sparse additive generative model-based mobile application recommender system

Knowledge-based systems, 2018-10, Vol.157, p.68-80

2018

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Misinformation-oriented expert finding in social networks

World wide web (Bussum), 2020-03, Vol.23 (2), p.693-714

2020

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Time-aspect-sentiment Recommendation Models Based on Novel Similarity Measure Methods

ACM transactions on the web, 2020-05, Vol.14 (2), p.1-26

2020

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Spatiotemporal Representation Learning for Translation-Based POI Recommendation

ACM transactions on information systems, 2019-04, Vol.37 (2), p.1-24

2019

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Minimizing Efforts in Validating Crowd Answers

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, 2015, p.999-1014

2015

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XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation

IEEE transactions on knowledge and data engineering, 2024-02, Vol.36 (2), p.1-14

2024

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PM-LSH: A fast and accurate LSH framework for high-dimensional approximate NN search

Proceedings of the VLDB Endowment, 2020-01, Vol.13 (5), p.643-655

2020

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Adapting to User Interest Drift for POI Recommendation

IEEE transactions on knowledge and data engineering, 2016-10, Vol.28 (10), p.2566-2581

2016

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Provenance-Based Rumor Detection

Databases Theory and Applications, p.125-137

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CRSAL: Conversational Recommender Systems with Adversarial Learning

ACM transactions on information systems, 2020-10, Vol.38 (4), p.1-40

2020

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Multi-label classification via label correlation and first order feature dependance in a data stream

Pattern recognition, 2019-06, Vol.90, p.35-51

2019

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From anomaly detection to rumour detection using data streams of social platforms

Proceedings of the VLDB Endowment, 2019-05, Vol.12 (9), p.1016-1029

2019

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Time-Aware Dynamic Graph Embedding for Asynchronous Structural Evolution

IEEE transactions on knowledge and data engineering, 2023-09, Vol.35 (9), p.1-14

2023

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Manipulating Visually Aware Federated Recommender Systems and Its Countermeasures

ACM transactions on information systems, 2023-12, Vol.42 (3), p.1-26, Article 64

2023

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TinyAD: Memory-Efficient Anomaly Detection for Time Series Data in Industrial IoT

IEEE transactions on industrial informatics, 2024-01, Vol.20 (1), p.1-12

2024

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Streaming Session-based Recommendation

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019, p.1569-1577

2019

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AIR: Attentional Intention-Aware Recommender Systems

2019 IEEE 35th International Conference on Data Engineering (ICDE), 2019, p.304-315

2019

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An Evaluation of Model-Based Approaches to Sensor Data Compression

IEEE transactions on knowledge and data engineering, 2013-11, Vol.25 (11), p.2434-2447

2013

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Genomic mutations and changes in protein secondary structure and solvent accessibility of SARS-CoV-2 (COVID-19 virus)

Handling probabilistic integrity constraints in pay-as-you-go reconciliation of data models

Entity Alignment for Knowledge Graphs With Multi-Order Convolutional Networks

Learning Holistic Interactions in LBSNs With High-Order, Dynamic, and Multi-Role Contexts

User guidance for efficient fact checking

Deep learning for deepfakes creation and detection: A survey

Detecting rumours with latency guarantees using massive streaming data

Mobi-SAGE-RS: A sparse additive generative model-based mobile application recommender system

Misinformation-oriented expert finding in social networks

Time-aspect-sentiment Recommendation Models Based on Novel Similarity Measure Methods

Spatiotemporal Representation Learning for Translation-Based POI Recommendation

Minimizing Efforts in Validating Crowd Answers

XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation

PM-LSH: A fast and accurate LSH framework for high-dimensional approximate NN search

Adapting to User Interest Drift for POI Recommendation

Provenance-Based Rumor Detection

CRSAL: Conversational Recommender Systems with Adversarial Learning

Multi-label classification via label correlation and first order feature dependance in a data stream

From anomaly detection to rumour detection using data streams of social platforms

Time-Aware Dynamic Graph Embedding for Asynchronous Structural Evolution

Manipulating Visually Aware Federated Recommender Systems and Its Countermeasures

TinyAD: Memory-Efficient Anomaly Detection for Time Series Data in Industrial IoT

Streaming Session-based Recommendation

AIR: Attentional Intention-Aware Recommender Systems

An Evaluation of Model-Based Approaches to Sensor Data Compression

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