Advanced Concepts for Intelligent Vision Systems [[electronic resource] ] : 14th International Conference, ACIVS 2012, Brno, Czech Republic, September 4-7, 2012, Proceedings / / edited by Jaques Blanc-Talon, Wilfried Philips, Dan Popescu, Paul Scheunders, Pavel Zemcik

• Record Nr.: UNISA996465584503316
• Pubbl/distr/stampa: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012
• ISBN: 3-642-33140-8
• Edizione: [1st ed. 2012.]
• Descrizione fisica: 1 online resource (XVI, 540 p. 253 illus.)
• Collana: Image Processing, Computer Vision, Pattern Recognition, and Graphics ; ; 7517
• Disciplina: 006.3/7
• Soggetti: Optical data processing; Artificial intelligence; Pattern recognition; Computer graphics; Computer communication systems; Algorithms; Image Processing and Computer Vision; Artificial Intelligence; Pattern Recognition; Computer Graphics; Computer Communication Networks; Algorithm Analysis and Problem Complexity; Conference proceedings.
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Bibliographic Level Mode of Issuance: Monograph
• Nota di bibliografia: Includes bibliographical references and index.
• Sommario/riassunto: This book constitutes the thoroughly refereed proceedings of the 14th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2012, held in Brno, Czech Republic, in September 2012. The 46 revised full papers were carefully selected from 81 submissions and deal with image analysis and computer vision with a ; focus on detection, recognition, tracking and identification.

Advanced Data Mining and Applications . Part III : 19th International Conference, ADMA 2023, Shenyang, China, August 21-23, 2023, Proceedings / / Xiaochun Yang [and seven others], editors

• Record Nr.: UNISA996565871703316
• Pubbl/distr/stampa: Cham, Switzerland : , : Springer, , [2023]; ©2023
• ISBN: 3-031-46671-3
• Edizione: [First edition.]
• Descrizione fisica: 1 online resource (386 pages)
• Collana: Lecture Notes in Computer Science Series ; ; Volume 14178
• Disciplina: 006.3
• Soggetti: Data mining
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Pharmaceutical Data Analysis -- Drug-target interaction prediction based on drug subgraph fingerprint extraction strategy and subgraph attention mechanism -- Soft Prompt Transfer for Zero-Shot and Few-Shot Learning in EHR Understanding -- Graph Convolution Synthetic Transformer for Chronic Kidney Disease Onset Prediction -- MTFL: Multi-task feature learning with joint correlation structure learning for Alzheimer’s disease cognitive performance prediction -- Multi-Level Transformer for Cancer Outcome Prediction in Large-Scale Claims Data -- Individual Functional Network Abnormalities Mapping via Graph Representation-based Neural Architecture Search -- A novel application of a mutual information measure for analysing temporal changes in healthcare network graphs -- Drugs Resistance Analysis from Scarce Health Records via Multi-task Graph Representation -- Text Classification -- ParaNet:Parallel Networks with Pre-trained Models for Text Classification -- Open Text Classification Based on Dynamic Boundary Balance -- A Prompt Tuning Method for Chinese Medical Text Classification -- TabMentor: Detect Errors on Tabular Data with Noisy Labels -- Label-aware Hierarchical Contrastive Domain Adaptation for Cross-network Node Classification -- Semi-supervised ; classification based on Graph Convolution Encoder Representations from BERT -- Global Balanced Text Classification for Stable Disease Diagnosis -- Graph -- Dominance Maximization in Uncertain Graphs -- LAGCL: Towards Stable and Automated Graph Contrastive Learning -- Discriminative Graph-level Anomaly Detection via Dual-students-teacher Model -- Common-Truss-based Community Search on Multilayer Graphs -- Learning To Predict Shortest Path Distance -- Efficient Regular Path Query Evaluation with Structural Path Constraints.EnSpeciVAT: Enhanced SpeciVAT for Cluster Tendency Identification in Graphs -- Pessimistic Adversarially Regularized Learning for Graph Embedding -- M2HGCL: Multi-Scale Meta-Path Integrated Heterogeneous Graph Contrastive Learning.
• Sommario/riassunto: This book constitutes the refereed proceedings of the 19th International Conference on Advanced Data Mining and Applications, ADMA 2023, held in Shenyang, China, during August 21–23, 2023. The 216 full papers included in this book were carefully reviewed and selected from 503 submissions. They were organized in topical sections as follows: Data mining foundations, Grand challenges of data mining, Parallel and distributed data mining algorithms, Mining on data streams, Graph mining and Spatial data mining.