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Analgesic effects of myrrh

Nature (London), 1996-01, Vol.379 (6560), p.29-29

1996

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Effects of repeated boluses of sucrose on proliferation and on AOM-induced aberrant crypt foci in rat colon

Nutrition and cancer, 1996, Vol.25 (2), p.187-196

1996

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Furanoeudesma-1,3-diene, A sesqiterpene from MYRRH, is a specific agonist of opiod delta receptors

Pharmacological research, 1995, Vol.31, p.34-34

1995

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Effect of a mixture of 15 commonly used pesticides on DNA levels of 8-hydroxy-2-deoxyguanosine and xenobiotic metabolizing enzymes in rat liver

Journal of environmental pathology, toxicology and oncology, 1994, Vol.13 (3), p.163

1994

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EasyMKL: a scalable multiple kernel learning algorithm

Neurocomputing (Amsterdam), 2015-12, Vol.169, p.215-224

2015

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An introduction to Deep Learning in Natural Language Processing: Models, techniques, and tools

Neurocomputing (Amsterdam), 2022-01, Vol.470, p.443-456

2022

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Exploiting sparsity to build efficient kernel based collaborative filtering for top-N item recommendation

Neurocomputing (Amsterdam), 2017-12, Vol.268, p.17-26

2017

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Learning deep kernels in the space of dot product polynomials

Machine learning, 2017-10, Vol.106 (9-10), p.1245-1269

2017

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Enhancing deep neural networks via multiple kernel learning

Pattern recognition, 2020-05, Vol.101, p.107194, Article 107194

2020

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Boolean kernels for rule based interpretation of support vector machines

Neurocomputing (Amsterdam), 2019-05, Vol.342, p.113-124

2019

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Radical scavenging activity of natural antioxidants and drugs: Development of a combined machine learning and quantum chemistry protocol

The Journal of chemical physics, 2020-09, Vol.153 (11), p.114117-114117

2020

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Boolean kernels for collaborative filtering in top-N item recommendation

Neurocomputing (Amsterdam), 2018-04, Vol.286, p.214-225

2018

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A Game-Theoretic Framework for Interpretable Preference and Feature Learning

Artificial Neural Networks and Machine Learning – ICANN 2018, p.659-668

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PRL: A game theoretic large margin method for interpretable feature learning

Neurocomputing (Amsterdam), 2022-03, Vol.479, p.106-120

2022

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Propositional Kernels

Entropy (Basel, Switzerland), 2021-08, Vol.23 (8), p.1020

2021

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Learning deep kernels in the space of monotone conjunctive polynomials

Pattern recognition letters, 2020-12, Vol.140, p.200-206

2020

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A systematic review of value-aware recommender systems

Expert systems with applications, 2023-09, Vol.226, p.120131, Article 120131

2023

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Learning adaptive representations for entity recognition in the biomedical domain

Journal of biomedical semantics, 2021-05, Vol.12 (1), p.10-10, Article 10

2021

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Social Support and Help-Seeking Among Suicide Bereaved: A Study With Italian Survivors

Omega: Journal of Death and Dying, 2023-06, Vol.87 (2), p.534-553

2023

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Scuba: scalable kernel-based gene prioritization

BMC bioinformatics, 2018-01, Vol.19 (1), p.23-23, Article 23

2018

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Monotone Deep Spectrum Kernels

Artificial Neural Networks and Machine Learning – ICANN 2020, p.207-219

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Advances in artificial neural networks, machine learning and computational intelligence

Neurocomputing (Amsterdam), 2018-07, Vol.298, p.1-3

2018

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On the feasibility of crawling-based attacks against recommender systems1

Journal of computer security, 2022-08, Vol.30 (4), p.599-621

2022

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A Novel Boolean Kernels Family for Categorical Data

Entropy (Basel, Switzerland), 2018-06, Vol.20 (6), p.444

2018

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On the feasibility of crawling-based attacks against recommender systems

Journal of computer security, 2022-01, Vol.30 (4), p.599

2022

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Analgesic effects of myrrh

Effects of repeated boluses of sucrose on proliferation and on AOM-induced aberrant crypt foci in rat colon

Furanoeudesma-1,3-diene, A sesqiterpene from MYRRH, is a specific agonist of opiod delta receptors

Effect of a mixture of 15 commonly used pesticides on DNA levels of 8-hydroxy-2-deoxyguanosine and xenobiotic metabolizing enzymes in rat liver

EasyMKL: a scalable multiple kernel learning algorithm

An introduction to Deep Learning in Natural Language Processing: Models, techniques, and tools

Exploiting sparsity to build efficient kernel based collaborative filtering for top-N item recommendation

Learning deep kernels in the space of dot product polynomials

Enhancing deep neural networks via multiple kernel learning

Boolean kernels for rule based interpretation of support vector machines

Radical scavenging activity of natural antioxidants and drugs: Development of a combined machine learning and quantum chemistry protocol

Boolean kernels for collaborative filtering in top-N item recommendation

A Game-Theoretic Framework for Interpretable Preference and Feature Learning

PRL: A game theoretic large margin method for interpretable feature learning

Propositional Kernels

Learning deep kernels in the space of monotone conjunctive polynomials

A systematic review of value-aware recommender systems

Learning adaptive representations for entity recognition in the biomedical domain

Social Support and Help-Seeking Among Suicide Bereaved: A Study With Italian Survivors

Scuba: scalable kernel-based gene prioritization

Monotone Deep Spectrum Kernels

Advances in artificial neural networks, machine learning and computational intelligence

On the feasibility of crawling-based attacks against recommender systems1

A Novel Boolean Kernels Family for Categorical Data

On the feasibility of crawling-based attacks against recommender systems

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