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Constitutive Modeling of Geomaterials [[electronic resource] ] : Advances and New Applications / / edited by Qiang Yang, Jian-Min Zhang, Hong Zheng, Yangping Yao
| Constitutive Modeling of Geomaterials [[electronic resource] ] : Advances and New Applications / / edited by Qiang Yang, Jian-Min Zhang, Hong Zheng, Yangping Yao |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (778 p.) |
| Disciplina | 624.1/5136 |
| Collana | Springer Series in Geomechanics and Geoengineering |
| Soggetto topico |
Engineering geology
Engineering—Geology Foundations Hydraulics Geotechnical engineering Geoengineering, Foundations, Hydraulics Geotechnical Engineering & Applied Earth Sciences |
| ISBN |
1-283-91256-2
3-642-32814-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Plenary Speakers -- Time-dependent Stress-strain Behavior of Geomaterials -- Constitutive Modeling within Critical State Soil Mechanics -- Multiscale and Multiphysics in Geomaterials -- Damage to Failure in Rock Structures.-Behaviour of Geomaterials -- Constitutive model -- Application. |
| Record Nr. | UNINA-9910437893203321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Mining for Biomedical Applications [[electronic resource] ] : PAKDD 2006 Workshop, BioDM 2006, Singapore, April 9, 2006, Proceedings / / edited by Jinyan Li, Qiang Yang, Ah-Hwee Tan
| Data Mining for Biomedical Applications [[electronic resource] ] : PAKDD 2006 Workshop, BioDM 2006, Singapore, April 9, 2006, Proceedings / / edited by Jinyan Li, Qiang Yang, Ah-Hwee Tan |
| Edizione | [1st ed. 2006.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006 |
| Descrizione fisica | 1 online resource (VIII, 155 p.) |
| Disciplina | 610.285 |
| Collana | Lecture Notes in Bioinformatics |
| Soggetto topico |
Artificial intelligence
Database management Information storage and retrieval Bioinformatics Mathematical statistics Health informatics Artificial Intelligence Database Management Information Storage and Retrieval Probability and Statistics in Computer Science Health Informatics |
| ISBN | 3-540-33105-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Keynote Talk -- Exploiting Indirect Neighbours and Topological Weight to Predict Protein Function from Protein-Protein Interactions -- Database and Search -- A Database Search Algorithm for Identification of Peptides with Multiple Charges Using Tandem Mass Spectrometry -- Filtering Bio-sequence Based on Sequence Descriptor -- Automatic Extraction of Genomic Glossary Triggered by Query -- Frequent Subsequence-Based Protein Localization -- Bio Data Clustering -- gTRICLUSTER: A More General and Effective 3D Clustering Algorithm for Gene-Sample-Time Microarray Data -- Automatic Orthologous-Protein-Clustering from Multiple Complete-Genomes by the Best Reciprocal BLAST Hits -- A Novel Clustering Method for Analysis of Gene Microarray Expression Data -- Heterogeneous Clustering Ensemble Method for Combining Different Cluster Results -- In-silico Diagnosis -- Rule Learning for Disease-Specific Biomarker Discovery from Clinical Proteomic Mass Spectra -- Machine Learning Techniques and Chi-Square Feature Selection for Cancer Classification Using SAGE Gene Expression Profiles -- Generation of Comprehensible Hypotheses from Gene Expression Data -- Classification of Brain Glioma by Using SVMs Bagging with Feature Selection -- Missing Value Imputation Framework for Microarray Significant Gene Selection and Class Prediction -- Informative MicroRNA Expression Patterns for Cancer Classification. |
| Record Nr. | UNISA-996465804303316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Data Mining for Biomedical Applications [[electronic resource] ] : PAKDD 2006 Workshop, BioDM 2006, Singapore, April 9, 2006, Proceedings / / edited by Jinyan Li, Qiang Yang, Ah-Hwee Tan
| Data Mining for Biomedical Applications [[electronic resource] ] : PAKDD 2006 Workshop, BioDM 2006, Singapore, April 9, 2006, Proceedings / / edited by Jinyan Li, Qiang Yang, Ah-Hwee Tan |
| Edizione | [1st ed. 2006.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006 |
| Descrizione fisica | 1 online resource (VIII, 155 p.) |
| Disciplina | 610.285 |
| Collana | Lecture Notes in Bioinformatics |
| Soggetto topico |
Artificial intelligence
Database management Information storage and retrieval Bioinformatics Mathematical statistics Health informatics Artificial Intelligence Database Management Information Storage and Retrieval Probability and Statistics in Computer Science Health Informatics |
| ISBN | 3-540-33105-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Keynote Talk -- Exploiting Indirect Neighbours and Topological Weight to Predict Protein Function from Protein-Protein Interactions -- Database and Search -- A Database Search Algorithm for Identification of Peptides with Multiple Charges Using Tandem Mass Spectrometry -- Filtering Bio-sequence Based on Sequence Descriptor -- Automatic Extraction of Genomic Glossary Triggered by Query -- Frequent Subsequence-Based Protein Localization -- Bio Data Clustering -- gTRICLUSTER: A More General and Effective 3D Clustering Algorithm for Gene-Sample-Time Microarray Data -- Automatic Orthologous-Protein-Clustering from Multiple Complete-Genomes by the Best Reciprocal BLAST Hits -- A Novel Clustering Method for Analysis of Gene Microarray Expression Data -- Heterogeneous Clustering Ensemble Method for Combining Different Cluster Results -- In-silico Diagnosis -- Rule Learning for Disease-Specific Biomarker Discovery from Clinical Proteomic Mass Spectra -- Machine Learning Techniques and Chi-Square Feature Selection for Cancer Classification Using SAGE Gene Expression Profiles -- Generation of Comprehensible Hypotheses from Gene Expression Data -- Classification of Brain Glioma by Using SVMs Bagging with Feature Selection -- Missing Value Imputation Framework for Microarray Significant Gene Selection and Class Prediction -- Informative MicroRNA Expression Patterns for Cancer Classification. |
| Record Nr. | UNINA-9910767587903321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Digital Watermarking for Machine Learning Model [[electronic resource] ] : Techniques, Protocols and Applications / / edited by Lixin Fan, Chee Seng Chan, Qiang Yang
| Digital Watermarking for Machine Learning Model [[electronic resource] ] : Techniques, Protocols and Applications / / edited by Lixin Fan, Chee Seng Chan, Qiang Yang |
| Autore | Fan Lixin |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (233 pages) |
| Disciplina | 005.82 |
| Altri autori (Persone) |
ChanChee Seng
YangQiang |
| Soggetto topico |
Machine learning
Data protection Image processing—Digital techniques Computer vision Image processing Machine Learning Data and Information Security Computer Imaging, Vision, Pattern Recognition and Graphics Image Processing |
| Soggetto non controllato |
Engineering
Technology & Engineering |
| ISBN | 981-19-7554-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I. Preliminary -- Chapter 1. Introduction -- Chapter 2. Ownership Verification Protocols for Deep Neural Network Watermarks -- Part II Techniques -- Chapter 3. ModelWatermarking for Image Recovery DNNs -- Chapter 4. The Robust and Harmless ModelWatermarking -- Chapter 5. Protecting Intellectual Property of Machine Learning Models via Fingerprinting the Classification Boundary -- Chapter 6. Protecting Image Processing Networks via Model Water -- Chapter 7. Watermarks for Deep Reinforcement Learning -- Chapter 8. Ownership Protection for Image Captioning Models -- Chapter 9.Protecting Recurrent Neural Network by Embedding Key -- Part III Applications -- Chapter 10. FedIPR: Ownership Verification for Federated Deep Neural Network Models -- Chapter 11. Model Auditing For Data Intellectual Property . |
| Record Nr. | UNISA-996546839603316 |
Fan Lixin
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Digital Watermarking for Machine Learning Model [[electronic resource] ] : Techniques, Protocols and Applications / / edited by Lixin Fan, Chee Seng Chan, Qiang Yang
| Digital Watermarking for Machine Learning Model [[electronic resource] ] : Techniques, Protocols and Applications / / edited by Lixin Fan, Chee Seng Chan, Qiang Yang |
| Autore | Fan Lixin |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (233 pages) |
| Disciplina | 005.82 |
| Altri autori (Persone) |
ChanChee Seng
YangQiang |
| Soggetto topico |
Machine learning
Data protection Image processing—Digital techniques Computer vision Image processing Machine Learning Data and Information Security Computer Imaging, Vision, Pattern Recognition and Graphics Image Processing |
| Soggetto non controllato |
Engineering
Technology & Engineering |
| ISBN | 981-19-7554-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I. Preliminary -- Chapter 1. Introduction -- Chapter 2. Ownership Verification Protocols for Deep Neural Network Watermarks -- Part II Techniques -- Chapter 3. ModelWatermarking for Image Recovery DNNs -- Chapter 4. The Robust and Harmless ModelWatermarking -- Chapter 5. Protecting Intellectual Property of Machine Learning Models via Fingerprinting the Classification Boundary -- Chapter 6. Protecting Image Processing Networks via Model Water -- Chapter 7. Watermarks for Deep Reinforcement Learning -- Chapter 8. Ownership Protection for Image Captioning Models -- Chapter 9.Protecting Recurrent Neural Network by Embedding Key -- Part III Applications -- Chapter 10. FedIPR: Ownership Verification for Federated Deep Neural Network Models -- Chapter 11. Model Auditing For Data Intellectual Property . |
| Record Nr. | UNINA-9910728383303321 |
|
Fan Lixin
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Proceedings of 1st International Workshop on Big Data, Streams and Heterogeneous Source Mining : Algorithms, Systems, Programming Models and Applications : BigMine-12 : August 12, 2012, Beijing, China
| Proceedings of 1st International Workshop on Big Data, Streams and Heterogeneous Source Mining : Algorithms, Systems, Programming Models and Applications : BigMine-12 : August 12, 2012, Beijing, China |
| Autore | Fan Wei |
| Pubbl/distr/stampa | [Place of publication not identified], : ACM, 2012 |
| Descrizione fisica | 1 online resource (134 pages) |
| Collana | ACM Conferences |
| Soggetto topico |
Engineering & Applied Sciences
Computer Science |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Proceedings of the 1st International Workshop on Big Data, Streams and Heterogeneous Source Mining : Algorithms, Systems, Programming Models and Applications |
| Record Nr. | UNINA-9910376328703321 |
|
Fan Wei
|
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| [Place of publication not identified], : ACM, 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Proceedings of the Data Mining and Intelligent Knowledge Management Workshop
| Proceedings of the Data Mining and Intelligent Knowledge Management Workshop |
| Autore | Yang Qiang |
| Pubbl/distr/stampa | [Place of publication not identified], : ACM, 2012 |
| Descrizione fisica | 1 online resource (55 pages) |
| Collana | ACM Conferences |
| Soggetto topico |
Engineering & Applied Sciences
Computer Science |
| ISBN | 1-4503-1551-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | DM-IKM '12 proceedings of the Data Mining and Intelligent Knowledge Management Workshop |
| Record Nr. | UNINA-9910375878803321 |
|
Yang Qiang
|
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| [Place of publication not identified], : ACM, 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Smart power distribution systems : control, communication, and optimization / / edited by Qiang Yang, Ting Yang, Wei Li
| Smart power distribution systems : control, communication, and optimization / / edited by Qiang Yang, Ting Yang, Wei Li |
| Pubbl/distr/stampa | London, United Kingdom : , : Academic Press, an imprint of Elsevier, , [2019] |
| Descrizione fisica | 1 online resource (632 pages) |
| Disciplina | 333.7932 |
| Soggetto topico | Smart power grids |
| ISBN |
0-12-812325-7
0-12-812154-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910583041103321 |
| London, United Kingdom : , : Academic Press, an imprint of Elsevier, , [2019] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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