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Novelty and Diversity in Top-N Recommendation -- Analysis and Evaluation

ACM transactions on Internet technology, 2011-03, Vol.10 (4), p.1-30

2011

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Microporosity quantification using confocal microscopy

Journal of sedimentary research, 2021-07, Vol.91 (7), p.735-750

2021

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Depositional environments and sequence stratigraphy of carbonate mudrocks using conventional geologic observations, multiscale electrofacies visualization, and geochemical analysis: The case of the Tuwaiq Mountain and Hanifa Formations in a basinal setting, Saudi Arabia

AAPG bulletin, 2017-05, Vol.101 (5), p.683-714

2017

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Improved Bayesian inference for the stochastic block model with application to large networks

Computational statistics & data analysis, 2013-04, Vol.60, p.12-31

2013

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Learning Domain-Independent Representations via Shared Weight Auto-Encoder for Transfer Learning in Recommender Systems

IEEE access, 2022, Vol.10, p.71961-71972

2022

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DARES: An Asynchronous Distributed Recommender System Using Deep Reinforcement Learning

IEEE access, 2021, Vol.9, p.83340-83354

2021

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MP4Rec: Explainable and Accurate Top-N Recommendations in Heterogeneous Information Networks

IEEE access, 2020, Vol.8, p.181835-181847

2020

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Excursions along the Lennard Shelf Devonian carbonates, Canning Basin, Western Australia

AAPG bulletin, 2017-04, Vol.101 (4), p.495-503

2017

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Evaluation of Hierarchical Clustering via Markov Decision Processes for Efficient Navigation and Search

Experimental IR Meets Multilinguality, Multimodality, and Interaction, p.125-131

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Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Part II

1, 2019

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Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Part I

1, 2019

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Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Part III

1, 2019

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ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector

Machine Learning and Knowledge Discovery in Databases, p.52-68

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Beyond Outlier Detection: LookOut for Pictorial Explanation

Machine Learning and Knowledge Discovery in Databases, p.122-138

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Microfracture classification, quantification, and petrophysical behavior in the Tengiz and Korolev carbonate reservoirs, Kazakhstan

AAPG bulletin, 2024-08, Vol.108 (8), p.1537-1567

2024

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Integrated approach to pore typing in complex carbonate reservoirs, Tengiz and Korolev fields, Kazakhstan

AAPG bulletin, 2024-08, Vol.108 (8), p.1569-1610

2024

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Group Anomaly Detection Using Deep Generative Models

Machine Learning and Knowledge Discovery in Databases, p.173-189

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Image Anomaly Detection with Generative Adversarial Networks

Machine Learning and Knowledge Discovery in Databases, p.3-17

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Visualizing the Feature Importance for Black Box Models

Machine Learning and Knowledge Discovery in Databases, p.655-670

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Surface grain structure evolution in hot rolling of 6061 aluminum alloy

Journal of materials processing technology, 2009-09, Vol.209 (18), p.5990-5995

2009

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Privacy Preserving Synthetic Data Release Using Deep Learning

Machine Learning and Knowledge Discovery in Databases, p.510-526

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Structural hole centrality: evaluating social capital through strategic network formation

Computational social networks, 2020-09, Vol.7 (1), Article 5

2020

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Hashtagger+: Efficient High-Coverage Social Tagging of Streaming News

IEEE transactions on knowledge and data engineering, 2018-01, Vol.30 (1), p.43-58

2018

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Personalised ranking with diversity

Proceedings of the 7th ACM conference on Recommender systems, 2013, p.379-382

Hurley, Neil J.

2013

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Toward Interpretable Deep Reinforcement Learning with Linear Model U-Trees

Machine Learning and Knowledge Discovery in Databases, p.414-429

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Novelty and Diversity in Top-N Recommendation -- Analysis and Evaluation

Microporosity quantification using confocal microscopy

Depositional environments and sequence stratigraphy of carbonate mudrocks using conventional geologic observations, multiscale electrofacies visualization, and geochemical analysis: The case of the Tuwaiq Mountain and Hanifa Formations in a basinal setting, Saudi Arabia

Improved Bayesian inference for the stochastic block model with application to large networks

Learning Domain-Independent Representations via Shared Weight Auto-Encoder for Transfer Learning in Recommender Systems

DARES: An Asynchronous Distributed Recommender System Using Deep Reinforcement Learning

MP4Rec: Explainable and Accurate Top-N Recommendations in Heterogeneous Information Networks

Excursions along the Lennard Shelf Devonian carbonates, Canning Basin, Western Australia

Evaluation of Hierarchical Clustering via Markov Decision Processes for Efficient Navigation and Search

Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Part II

Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Part I

Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Part III

ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector

Beyond Outlier Detection: LookOut for Pictorial Explanation

Microfracture classification, quantification, and petrophysical behavior in the Tengiz and Korolev carbonate reservoirs, Kazakhstan

Integrated approach to pore typing in complex carbonate reservoirs, Tengiz and Korolev fields, Kazakhstan

Group Anomaly Detection Using Deep Generative Models

Image Anomaly Detection with Generative Adversarial Networks

Visualizing the Feature Importance for Black Box Models

Surface grain structure evolution in hot rolling of 6061 aluminum alloy

Privacy Preserving Synthetic Data Release Using Deep Learning

Structural hole centrality: evaluating social capital through strategic network formation

Hashtagger+: Efficient High-Coverage Social Tagging of Streaming News

Personalised ranking with diversity

Toward Interpretable Deep Reinforcement Learning with Linear Model U-Trees

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