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 | ||
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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 |
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 : 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 | ||
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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 | ||
[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 |
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 | ||
[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 |
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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