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[null,"1.","Record Nr.",null,"UNINA9910454970603321"]
[null,null,"Autore",null,"Antonsen Stian"]
[null,null,"Titolo",null,"Safety culture : theory, method and improvement / / Stian Antonsen"]
[null,null,"Pubbl/distr/stampa",null,"London : , : Routledge, , 2009"]
[null,null,"ISBN",null,"1-317-05986-7"]
[{"$nulls":4},"1-315-60749-2"]
[{"$nulls":4},"1-282-34474-9"]
[{"$nulls":4},"9786612344749"]
[{"$nulls":4},"0-7546-9394-5"]
[null,null,"Descrizione fisica",null,"1 online resource (185 p.)"]
[null,null,"Disciplina",null,"363.1/16"]
[{"$nulls":4},"363.116"]
[{"$nulls":4},"363.1'16-dc22"]
[{"$nulls":4},"658.3"]
[null,null,"Soggetti",null,"Industrial safety - Management"]
[{"$nulls":4},"Corporate culture"]
[{"$nulls":4},"Electronic books."]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Cover; Contents; List of Figures; List of Tables; Foreword; 1 Introduction; 2 Culture and Safety; 3 Different Perspectives on Organizational Culture; 4 Safety Culture and Power; 5 Assessing Safety Culture; 6 An Empirical Case Study - Safety Culture on Offshore Supply Vessels; 7 Improving Safety Through a Cultural Approach - Limitations, Constraints and Possibilities; 8 Conclusions; References; Index; Name Index"]
[null,null,null,"Sommario/riassunto","The aim of this book is to show how a cultural approach can contribute to the assessment, description and improvement of safety conditions in organizations. The relationship between organizational culture and safety, epitomized through the concept of 'safety culture', has undoubtedly become one of the hottest topics of both safety research and practical efforts to improve safety. By combining a general framework and five research projects, the author explores and further develops the theoretical, methodological and practical basis of the study of safety culture. What are the theoretical founda"]
[null,"2.","Record Nr.",null,"UNINA9910983480203321"]
[null,null,"Autore",null,"Antonacopoulos Apostolos"]
[null,null,"Titolo",null,"Pattern Recognition : 27th International Conference, ICPR 2024, Kolkata, India, December 1–5, 2024, Proceedings, Part I / / edited by Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025"]
[null,null,"ISBN",null,"9783031781070"]
[{"$nulls":4},"3031781074"]
[null,null,"Edizione",null,"[1st ed. 2025.]"]
[null,null,"Descrizione fisica",null,"1 online resource (507 pages)"]
[null,null,"Collana",null,"Lecture Notes in Computer Science, , 1611-3349 ; ; 15301"]
[null,null,"Disciplina",null,"006.37"]
[null,null,"Soggetti",null,"Computer vision"]
[{"$nulls":4},"Machine learning"]
[{"$nulls":4},"Computer Vision"]
[{"$nulls":4},"Machine Learning"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Semi-Supervised Variational Adversarial Active Learning via Learning to Rank and Agreement-Based Pseudo Labeling -- Deep Evidential Active Learning with Uncertainty-Aware Determinantal Point Process -- Knowledge Distillation in Deep Networks under a Constrained Query Budget -- Adabot: An Adaptive Trading Bot using an Ensemble of Phase-specific Few-shot Learners to Adapt to the Changing Market Dynamics -- Uncertainty in Ambiguity of Data -- When Uncertainty-based Active Learning May Fail -- Customizable and Programmable Deep Learning -- SegXAL: Explainable Active Learning for semantic segmentation in driving scene scenarios -- AMC-OA: Adaptive Multi-Scale Convolutional Networks with Optimized Attention for Temporal Action Localization -- Comparative Analysis Of Pretrained Models for Text Classification, Generation and Summarization : A Detailed Analysis -- Predicting Judgement Outcomes from Legal Case File Summaries with Explainable Approach -- Multi-view Ensemble Clustering-based Podcast Recommendation in Indian Regional Setting -- Privacy-Preserving Ensemble Learning using Fully Homomorphic Encryption -- Capturing Temporal Components for Time Series Classification -- Hierarchical Transfer Multi-task Learning Approach for Scene Classification -- Deep Prompt Multi-task Network for Abuse Language "]
[{"$nulls":4},"Detection -- All mistakes are not equal: Comprehensive Hierarchy Aware Multilabel Predictions (CHAMP) -- IDAL: Improved Domain Adaptive Learning for Natural Images Dataset -- Large Multimodal Models Thrive with Little Data for Image Emotion Prediction -- Flatter Minima of Loss Landscapes Correspond with Strong Corruption Robustness -- Restoring Noisy Images using Dual-tail Encoder-Decoder Signal Separation Network -- Utilizing Deep Incomplete Classifiers To Implement Semantic Clustering For Killer Whale Photo Identification Data -- FPMT: Enhanced Semi-Supervised Model for Traffic Incident Detection -- C2F-CHART: A Curriculum Learning Approach to Chart Classification -- Vision DualGNN: Semantic Graph is Not Only You Need -- Enhancing Graph-based Clustering Based on the Regularity Lemma -- IPD: Scalable Clustering with Incremental Prototypes -- Mitigating the Impact of Noisy Edges on Graph-Based Algorithms via Adversarial Robustness Evaluation -- Adaptive Graph-based Manifold Learning for Gene Selection."]
[null,null,null,"Sommario/riassunto","The multi-volume set of LNCS books with volume numbers 15301-15333 constitutes the refereed proceedings of the 27th International Conference on Pattern Recognition, ICPR 2024, held in Kolkata, India, during December 1–5, 2024. The 963 papers presented in these proceedings were carefully reviewed and selected from a total of 2106 submissions. They deal with topics such as Pattern Recognition; Artificial Intelligence; Machine Learning; Computer Vision; Robot Vision; Machine Vision; Image Processing; Speech Processing; Signal Processing; Video Processing; Biometrics; Human-Computer Interaction (HCI); Document Analysis; Document Recognition; Biomedical Imaging; Bioinformatics."]