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1. |
Record Nr. |
UNIPARTHENOPE000017586 |
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Autore |
Duncan, K. A. |
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Titolo |
A model curriculum for doctoral-level programs in health computing : report of the ACM committee on curriculum for health computing education / K. A. Ducan ... [et al.] |
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Pubbl/distr/stampa |
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Baltimore : Association for computing machinery, c1981 |
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Titolo uniforme |
A model curriculum for doctoral-level programs in health computing |
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Descrizione fisica |
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Disciplina |
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Collocazione |
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Materiale a stampa |
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Livello bibliografico |
Monografia |
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2. |
Record Nr. |
UNICASPAL0159392 |
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Autore |
Aliprandi, Mariateresa |
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Titolo |
Psicoterapia breve di individuazione : la metodologia di Tommaso Senise nella consultazione con l'adolescente / Mariateresa Aliprandi, Eugenia Pelanda, Tommaso Senise ; presentazione di Pier Francesco Galli |
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Pubbl/distr/stampa |
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Milano, : Feltrinelli, 1999 |
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Descrizione fisica |
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446 p. : 1 ritr. ; 22 cm. |
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Collana |
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Altri autori (Persone) |
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Pelanda, Eugenia |
Senise, Tommaso <1848-1920> |
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Soggetti |
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Adolescenti - Psicoterapia |
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Lingua di pubblicazione |
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Materiale a stampa |
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Livello bibliografico |
Monografia |
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3. |
Record Nr. |
UNISA996601563103316 |
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Autore |
Meroño Peñuela Albert |
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Titolo |
The Semantic Web : 21st International Conference, ESWC 2024, Hersonissos, Crete, Greece, May 26-30, 2024, Proceedings, Part II |
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Pubbl/distr/stampa |
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Cham : , : Springer, , 2024 |
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©2024 |
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ISBN |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (277 pages) |
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Collana |
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Lecture Notes in Computer Science Series ; ; v.14665 |
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Altri autori (Persone) |
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DimouAnastasia |
TroncyRaphaël |
HartigOlaf |
AcostaMaribel |
AlamMehwish |
PaulheimHeiko |
LisenaPasquale |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Intro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- Resource -- PyGraft: Configurable Generation of Synthetic Schemas and Knowledge Graphs at Your Fingertips -- 1 Introduction -- 2 Related Work -- 3 PyGraft Description -- 3.1 Preliminaries -- 3.2 Overview -- 3.3 Schema Generation -- 3.4 Knowledge Graph Generation -- 4 PyGraft in Action -- 4.1 Efficiency and Scalability Details -- 4.2 Usage Illustration -- 5 Discussion -- 5.1 Potential Uses -- 5.2 Limitations, Sustainability, Maintenance and Future Work -- 6 Conclusion -- References -- NORIA-O: An Ontology for Anomaly Detection and Incident Management in ICT Systems -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Competency Questions and Conceptualization -- 3.2 Domain of Discourse and Modeling Strategy -- 4 NORIA-O: Formalization and Implementation -- 4.1 Resources, Network Interfaces, Network Links and Applications -- 4.2 Logs and Alarms -- 4.3 Trouble Tickets and Change Requests -- 4.4 Agents, Teams and Organizations -- 5 Evaluation -- 6 Use Case: Modeling a |
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Complex IT Infrastructure -- 7 Conclusion and Future Work -- References -- FlexRML: A Flexible and Memory Efficient Knowledge Graph Materializer -- 1 Introduction -- 2 Related Work -- 3 FlexRML: Architecture and Implementation -- 3.1 Preprocessing Step -- 3.2 Mapping Step -- 4 Estimation of Generated RDF Elements -- 4.1 Estimation of triplesMaps Without Join -- 4.2 Estimation of triplesMaps with Join -- 4.3 Estimation of All triplesMaps -- 5 Empirical Evaluation -- 5.1 Accuracy of Result Size Estimator -- 5.2 Performance of Adaptive Hash Function Selection -- 5.3 Comparison with Existing RML Processors -- 6 The Resource FlexRML -- 7 Conclusion and Future Work -- References -- IICONGRAPH: Improved Iconographic and Iconological Statements in Knowledge Graphs -- 1 Introduction. |
2 Background, Problem Statement, and Research Requirements -- 2.1 ICON Ontology 2.0 -- 2.2 HyperReal -- 2.3 Wikidata -- 2.4 ArCo -- 3 IICONGRAPH Development and Release -- 3.1 Wikidata's Conversion -- 3.2 ArCo's Conversion -- 3.3 IICONGRAPH Release -- 4 Quantitative Evaluation -- 5 Research-Based Evaluation -- 6 Discussion of the Results -- 7 Related Work -- 8 Conclusion and Future Work -- References -- VisionKG: Unleashing the Power of Visual Datasets via Knowledge Graph -- 1 Introduction -- 2 Related Work -- 3 Unified Access for Integrated Visual Datasets -- 3.1 VisionKG Architecture to Facilitate Unified Access -- 3.2 Linked Datasets and Tasks in VisionKG -- 3.3 Visual Dataset Explorer Powered by SPARQL -- 4 Enforcing FAIR Principles for Visual Datasets -- 4.1 Making Visual Data Assets Findable and Accessible -- 4.2 Ensure Interoperability Across Datasets and Tasks -- 4.3 Enhance Reusability Through a SPARQL Endpoint -- 5 VisionKG: Facilitating Visual Tasks Towards MLOps -- 5.1 Composing Visual Datasets in a Unified Taxonomy -- 5.2 Automating Training and Testing Pipelines -- 5.3 Robust Visual Learning over Diverse Data-Sources -- 6 Conclusions and Future Works -- References -- OfficeGraph: A Knowledge Graph of Office Building IoT Measurements -- 1 Introduction -- 2 Related Work -- 3 Converting the Source Data -- 3.1 Source Data -- 3.2 Original Data Structure -- 3.3 Data Model and Mapping Template -- 3.4 Enrichment -- 4 Description of OfficeGraph -- 4.1 Timepoints -- 4.2 Graph Structure Metrics -- 4.3 Enrichment -- 4.4 Accessing the KG -- 5 Using OfficeGraph -- 5.1 Building Management Data Analytics -- 5.2 Machine Learning on OfficeGraph -- 6 Conclusion -- References -- Musical Meetups Knowledge Graph (MMKG): A Collection of Evidence for Historical Social Network Analysis -- 1 Introduction -- 2 Motivation -- 3 Meetups Ontology. |
4 Knowledge Graph Generation Pipeline -- 4.1 Data Collection and Preparation -- 4.2 Entity Recognition -- 4.3 Harmonisation -- 4.4 Knowledge Graph Construction -- 5 MMKG Evaluation -- 5.1 Answering CQs -- 5.2 Feedback Questionnaire from Domain Experts -- 6 Using the MMKG -- 6.1 Music Historians and Domain Experts -- 6.2 Developer Communities -- 7 Resource Availability, Reusability, Sustainability -- 8 Related Work -- 9 Conclusions and Future Work -- References -- Generate and Update Large HDT RDF Knowledge Graphs on Commodity Hardware -- 1 Introduction -- 2 HDT Internals -- 2.1 HDTq -- 3 Related Work -- 4 Contribution -- 4.1 k-HDTCat -- 4.2 k-HDTDiffCat -- 4.3 HDTq Integration -- 5 Experiments -- 5.1 Experiment: Experimentally Determine a Good Value of k in k-HDTCat -- 5.2 Experiment: Comparison with Existing HDT Compression Methods -- 5.3 Experiment: Indexing Wikidata -- 5.4 Experiment: k-HDTDiffCat to Keep Up to Date Datasets -- 6 Code -- 7 Conclusion -- References -- SMW Cloud: A Corpus of Domain-Specific Knowledge Graphs from Semantic MediaWikis -- 1 Introduction -- 2 Methods for |
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Collecting the Corpus -- 2.1 Corpus Provision -- 3 Methods for Analysing the Corpus -- 4 Results and Corpus Statistics -- 4.1 Basic RDF Metrics -- 4.2 Topical Analysis -- 4.3 Ontological Analysis -- 5 Conclusion and Future Work -- 5.1 Limitations -- 5.2 Future Work -- 5.3 Sustainability Plan -- References -- SousLeSens - A Comprehensive Suite for the Industrial Practice of Semantic Knowledge Graphs -- 1 Introduction -- 2 State-of-the-art -- 2.1 Existing Knowledge Engineering Tools -- 2.2 Industrial Feedback -- 3 Specification of SLS -- 3.1 Methodological Foundations -- 3.2 Software Architecture -- 3.3 Tools in SLS -- 4 Validation -- 4.1 Case Studies -- 5 Comparative Analysis -- 6 Conclusion -- References -- MLSea: A Semantic Layer for Discoverable Machine Learning. |
1 Introduction -- 2 Motivating Examples -- 3 Related Work -- 4 The MLS Ontology and Taxonomies -- 4.1 MLS Development Methodology and Maintenance -- 4.2 MLSO: The Machine Learning Sailor Ontology -- 4.3 MLST: Machine Learning Sailor Taxonomies -- 5 MLSea-KG: Construction, Publication and Usage -- 5.1 Knowledge Graph Construction Process -- 5.2 Use Case Examples -- 6 Impact of the Resource -- 7 Conclusions and Future Work -- References -- Enabling Social Demography Research Using Semantic Technologies -- 1 Introduction -- 2 Related Work -- 3 Knowledge Graph Construction -- 3.1 Ontology Creation -- 3.2 The MIRA Ontology -- 3.3 Ontology Population -- 3.4 The MIRA-KG -- 4 Evaluation -- 4.1 Ontology Evaluation -- 4.2 Knowledge Graph Evaluation -- 5 Conclusions -- References -- SCOOP All the Constraints' Flavours for Your Knowledge Graph -- 1 Introduction -- 2 Preliminaries and Related Work -- 2.1 Preliminaries -- 2.2 Related Work -- 3 Shape Integration Challenges -- 4 SCOOP -- 4.1 Post-adjustment -- 4.2 Equivalences Identification -- 4.3 Integration and Inconsistencies Resolution -- 4.4 Implementation -- 5 Evaluation -- 6 Conclusion -- References -- FidMark: A Fiducial Marker Ontology for Semantically Describing Visual Markers -- 1 Introduction -- 2 Approach and Methodology -- 2.1 Design Goals -- 3 Ontology Design -- 3.1 Properties and Terminologies -- 3.2 Procedures -- 3.3 Usage -- 4 Ontology Validation and Demonstrator -- 5 Conclusion and Future Work -- References -- Author Index. |
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4. |
Record Nr. |
UNINA9910806196303321 |
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Titolo |
MultiMedia Modeling : 30th International Conference, MMM 2024, Amsterdam, The Netherlands, January 29 – February 2, 2024, Proceedings, Part IV / / edited by Stevan Rudinac, Alan Hanjalic, Cynthia Liem, Marcel Worring, Björn Þór Jónsson, Bei Liu, Yoko Yamakata |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
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ISBN |
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Edizione |
[1st ed. 2024.] |
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Descrizione fisica |
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1 online resource (419 pages) |
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Collana |
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Lecture Notes in Computer Science, , 1611-3349 ; ; 14557 |
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Disciplina |
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Soggetti |
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Computer vision |
Image processing |
Pattern recognition systems |
Application software |
Information storage and retrieval systems |
Machine learning |
Computer Vision |
Image Processing |
Automated Pattern Recognition |
Computer and Information Systems Applications |
Information Storage and Retrieval |
Machine Learning |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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FMM: Special Session on Foundation Models for Multimedia -- Removing Stray-Light for Wild-Field Fundus Image Fusion based on Large Generative Models -- Training-free Region Prediction with Stable Diffusion -- Mitigating Fine-Grained Hallucination by Fine-Tuning Large Vision-Language Models with Caption Rewrites -- GDTNet: A Synergistic Dilated Transformer and CNN by Gate Attention for Abdominal Multi-organ Segmentation -- Fine-Grained Multi-Modal Fundus Image Generation Based on Diffusion Models for Glaucoma Classification -- Adapting Pretrained Large-Scale Vision Models for |
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Face Forgery Detection -- ICDAR: Special Session on Intelligent Cross-Data Analysis and Retrieval -- Towards Cross-modal Point Cloud Retrieval for Indoor Scenes -- Correlation visualization under missing values: a comparison between imputation and direct parameter estimation methods -- IFI: Interpreting for Improving: a Multimodal Transformer with an Interpretability Technique for Recognition of Risk Events -- OOKPIK - A Collection of Out-of-Context Image-Caption Pairs -- LUMOS-DM: Landscape-based Multimodal Scene Retrieval Enhanced by Diffusion Model -- XR-MACCI: Special Session on eXtended Reality and Multimedia - Advancing Content Creation and Interaction -- Mining Landmark Images for Scene Reconstruction from Weakly Annotated Video Collections -- A framework for 3D modeling of construction sites using aerial imagery and semantic NeRFs -- Multimodal 3D Object Retrieval -- An Integrated System for Spatio-Temporal Summarization of 360-degrees Videos -- Brave New Ideas -- Mutant Texts: A Technique for Uncovering Unexpected Inconsistencies in Large-Scale Vision-language Models -- Exploring Artificial Intelligence for Advancing Performance Processes and Events in Io3MT -- Demonstrations -- Implementation of Melody Slot Machines -- E2Evideo: End to End Video and Image Pre-processing and Analysis Tool -- Augmented Reality Photo Presentation and Content-based Image Retrieval on Mobile Devices with AR-Explorer -- Augmented Reality Photo Presentation and Content-based Image Retrieval on Mobile Devices with AR-Explorer -- AI-Based Cropping of Soccer Videos for Different Social Media Representations -- Few-shot Object Detection as a Service: Facilitating Training and Deployment for Domain Experts -- DatAR: Supporting Neuroscience Literature Exploration by Finding Relations between Topics in Augmented Reality -- EmoAda:A Multimodal Emotion Interaction and Psychological Adaptation System -- Video Browser Showdown -- Waseda Meisei SoftBank at Video Browser Showdown 2024 -- Exploring Multimedia Vector Spaces with vitrivr-VR -- A new Retrieval Engine for vitrivr -- VISIONE 5.0: EnhancedUser Interface and AI Models for VBS2024 -- PraK Tool: An Interactive Search Tool Based on Video Data Services -- Exquisitor at the Video Browser Showdown 2024: Relevance Feedback Meets Conversational Search -- VERGE in VBS 2024 -- Optimizing the Interactive Video Retrieval Tool Vibro for the Video Browser Showdown 2024 -- diveXplore at the Video Browser Showdown 2024 -- Leveraging LLMs and Generative Models for Interactive Known-Item Video Search -- TalkSee: Interactive Video Retrieval Engine Using Large Language Model -- VideoCLIP 2: An Interactive CLIP-based Video Retrieval System for Novice Users at VBS2024 -- ViewsInsight: Enhancing Video Retrieval for VBS 2024 with a User-Friendly Interaction Mechanism. |
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Sommario/riassunto |
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This book constitutes the refereed proceedings of the 30th International Conference on MultiMedia Modeling, MMM 2024, held in Amsterdam, The Netherlands, during January 29–February 2, 2024. The 112 full papers included in this volume were carefully reviewed and selected from 297 submissions. The MMM conference were organized in topics related to multimedia modelling, particularly: audio, image, video processing, coding and compression; multimodal analysis for retrieval applications, and multimedia fusion methods. |
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