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Privacy-Preserving SVM Classification on Vertically Partitioned Data

Advances in Knowledge Discovery and Data Mining, 2006, p.647-656

2006

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Scalable and parallelizable processing of influence maximization for large-scale social networks?

2013 IEEE 29th International Conference on Data Engineering (ICDE), 2013, p.266-277

2013

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Convolutional Matrix Factorization for Document Context-Aware Recommendation

Proceedings of the 10th ACM Conference on Recommender Systems, 2016, p.233-240

2016

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Unsupervised Attributed Multiplex Network Embedding

Proceedings of the ... AAAI Conference on Artificial Intelligence, 2020-04, Vol.34 (4), p.5371-5378

2020

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Fast and memory-efficient algorithms for high-order Tucker decomposition

Knowledge and information systems, 2020-07, Vol.62 (7), p.2765-2794

2020

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Diagnosis prediction of tumours of unknown origin using ImmunoGenius, a machine learning-based expert system for immunohistochemistry profile interpretation

Diagnostic pathology, 2021-03, Vol.16 (1), p.19-19, Article 19

2021

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An efficient method for learning nonlinear ranking SVM functions

Information sciences, 2012-11, Vol.209, p.37-48

2012

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PEBL: Web page classification without negative examples

IEEE transactions on knowledge and data engineering, 2004-01, Vol.16 (1), p.70-81

2004

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Deep multiplex graph infomax: Attentive multiplex network embedding using global information

Knowledge-based systems, 2020-06, Vol.197, p.105861, Article 105861

2020

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A machine-learning expert-supporting system for diagnosis prediction of lymphoid neoplasms using a probabilistic decision-tree algorithm and immunohistochemistry profile database

Journal of Pathology and Translational Medicine, 2020, 54(6), , pp.462-470

2020

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Deep hybrid recommender systems via exploiting document context and statistics of items

Information sciences, 2017-11, Vol.417, p.72-87

2017

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Harmonized representation learning on dynamic EHR graphs

Journal of biomedical informatics, 2020-06, Vol.106, p.103426-103426, Article 103426

2020

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RecTime: Real-Time recommender system for online broadcasting

Information sciences, 2017-10, Vol.409-410, p.1-16

2017

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An encoder–decoder switch network for purchase prediction

Knowledge-based systems, 2019-12, Vol.185, p.104932, Article 104932

2019

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PUMAD: PU Metric learning for anomaly detection

Information sciences, 2020-06, Vol.523, p.167-183

2020

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Learning to utilize auxiliary reviews for recommendation

Information sciences, 2021-02, Vol.545, p.595-607

2021

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Collaborative Translational Metric Learning

2018 IEEE International Conference on Data Mining (ICDM), 2018, p.367-376

2018

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Improving top-K recommendation with truster and trustee relationship in user trust network

Information sciences, 2016-12, Vol.374, p.100-114

2016

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OCam: Out-of-core coordinate descent algorithm for matrix completion

Information sciences, 2020-04, Vol.514, p.587-604

2020

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Adversarial approach to domain adaptation for reinforcement learning on dialog systems

Pattern recognition letters, 2019-12, Vol.128, p.467-473

2019

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CT-IC: Continuously activated and Time-restricted Independent Cascade model for viral marketing

Knowledge-based systems, 2014-05, Vol.62, p.57-68

2014

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Making SVMs Scalable to Large Data Sets using Hierarchical Cluster Indexing

Data mining and knowledge discovery, 2005-11, Vol.11 (3), p.295-321

2005

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Selective sampling techniques for feedback-based data retrieval

Data mining and knowledge discovery, 2011, Vol.22 (1-2), p.1-30

Yu, Hwanjo

2011

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Neural sentence embedding using only in-domain sentences for out-of-domain sentence detection in dialog systems

Pattern recognition letters, 2017-03, Vol.88, p.26-32

2017

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Item-side ranking regularized distillation for recommender system

Information sciences, 2021-11, Vol.580, p.15-34

2021

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Privacy-Preserving SVM Classification on Vertically Partitioned Data

Scalable and parallelizable processing of influence maximization for large-scale social networks?

Convolutional Matrix Factorization for Document Context-Aware Recommendation

Unsupervised Attributed Multiplex Network Embedding

Fast and memory-efficient algorithms for high-order Tucker decomposition

Diagnosis prediction of tumours of unknown origin using ImmunoGenius, a machine learning-based expert system for immunohistochemistry profile interpretation

An efficient method for learning nonlinear ranking SVM functions

PEBL: Web page classification without negative examples

Deep multiplex graph infomax: Attentive multiplex network embedding using global information

A machine-learning expert-supporting system for diagnosis prediction of lymphoid neoplasms using a probabilistic decision-tree algorithm and immunohistochemistry profile database

Deep hybrid recommender systems via exploiting document context and statistics of items

Harmonized representation learning on dynamic EHR graphs

RecTime: Real-Time recommender system for online broadcasting

An encoder–decoder switch network for purchase prediction

PUMAD: PU Metric learning for anomaly detection

Learning to utilize auxiliary reviews for recommendation

Collaborative Translational Metric Learning

Improving top-K recommendation with truster and trustee relationship in user trust network

OCam: Out-of-core coordinate descent algorithm for matrix completion

Adversarial approach to domain adaptation for reinforcement learning on dialog systems

CT-IC: Continuously activated and Time-restricted Independent Cascade model for viral marketing

Making SVMs Scalable to Large Data Sets using Hierarchical Cluster Indexing

Selective sampling techniques for feedback-based data retrieval

Neural sentence embedding using only in-domain sentences for out-of-domain sentence detection in dialog systems

Item-side ranking regularized distillation for recommender system

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