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[null,"1.","Record Nr.",null,"UNISA996483156503316"]
[null,null,"Titolo",null,"Database and expert systems applications . Part I : 33rd International Conference, DEXA 2022, Vienna, Austria, August 22-24, 2022, proceedings / / Christine Strauss [and four others], editors"]
[null,null,"Pubbl/distr/stampa",null,"Cham, Switzerland : , : Springer International Publishing, , [2022]"]
[{"$nulls":4},"©2022"]
[null,null,"ISBN",null,"3-031-12423-5"]
[null,null,"Descrizione fisica",null,"1 online resource (469 pages)"]
[null,null,"Collana",null,"Lecture Notes in Computer Science ; ; v.13426"]
[null,null,"Disciplina",null,"005.7565"]
[null,null,"Soggetti",null,"Database management"]
[{"$nulls":4},"Expert systems (Computer science)"]
[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,"Intro -- Preface -- Organization -- Abstracts of Keynote Talks -- Responsible AI -- Following the Rules: From Policies to Norms -- Contents - Part I -- Contents - Part II -- Knowledge Graphs -- Jointly Learning Propagating Features on the Knowledge Graph for Movie Recommendation -- 1 Introduction -- 2 Methodology -- 2.1 Problem Formulation -- 2.2 Heterogeneous Graph Construction -- 2.3 The Proposed Framework -- 3 Experiments -- 3.1 Datasets -- 3.2 Experimental Settings -- 3.3 Experimental Results -- 3.4 Ablation Study -- 4 Conclusion -- References -- Syntax-Informed Question Answering with Heterogeneous Graph Transformer -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Graph Creation Module -- 3.2 Graph Processing and Answer Prediction -- 4 Experiments and Discussions -- 4.1 Setup -- 4.2 Evaluation -- 4.3 LingHGT, SemHGT, PragHGT: Towards Linguistics-Informed Language Models -- 5 Conclusion -- References -- Automated Process Knowledge Graph Construction from BPMN Models -- 1 Introduction -- 2 Background -- 3 Industrial Use Case -- 4 BPMN2KG Tool -- 4.1 Requirements -- 4.2 Process Knowledge Graph Construction -- 4.3 Implementation -- 5 Application Scenarios -- 6 Related Work -- 7 Conclusions -- A  SPARQL Queries and Results -- References -- CAKE: A Context-Aware Knowledge Embedding Model of Knowledge Graph -- 1 Introduction -- 2 Related Work -- 3 Context-Aware Knowledge Embedding (CAKE) -- 3.1 LDA-Based Context Learning -- 3.2 HDP-Based Context Learning "]
[{"$nulls":4},"-- 3.3 Context-Aware Knowledge Embedding -- 4 Experimental Evaluation -- 4.1 Experiment Protocol -- 4.2 Experiment Settings -- 4.3 Experimental Results -- 5 Conclusion -- A  Appendix: Optimization of CAKE -- References -- The Digitalization of Bioassays in the Open Research Knowledge Graph -- 1 Introduction -- 2 Bioassay Digitalization in the ORKG -- 3 Conclusion -- References."]
[{"$nulls":4},"Privacy-Preservation Approaches -- Privacy Issues in Smart Grid Data: From Energy Disaggregation to Disclosure Risk -- 1 Introduction -- 2 Related Work -- 2.1 Non-intrusive Load Monitoring -- 2.2 Privacy Preserving Data Publishing in Smart Grid -- 3 Proposed Method for Disclosure Risk Assessment -- 3.1 Appliance Selection -- 3.2 Seq2Seq Disaggregation Algorithm -- 3.3 Event Detection -- 3.4 Middle-Point Thresholding -- 3.5 Variance-Sensitive Thresholding -- 3.6 Activation Time Extraction -- 3.7 Disaggregation Risk -- 4 Experimental Setup -- 4.1 Datasets -- 4.2 Training and Testing Period -- 4.3 Threshold Computation -- 5 Results and Discussion -- 5.1 Inference Attack on the Same Building -- 5.2 Inference Attack on Different Buildings in the Same Dataset -- 5.3 Inference Attack on Different Buildings from Different Datasets -- 6 Conclusion -- References -- CoK: A Survey of Privacy Challenges in Relation to Data Meshes -- 1 Introduction -- 2 State-of-the-Art -- 2.1 Data Mesh Databases -- 2.2 Privacy in Mesh Networking -- 2.3 Syntactic Data Anonymisation -- 2.4 Semantic Data Anonymisation and Differential Privacy -- 2.5 Unique Column Combinations -- 2.6 High-Dimensional Data -- 2.7 Quasi-Identifier Discovery -- 3 Data Meshes -- 4 Experiments -- 5 Conclusion and Future Directions -- References -- Why- and How-Provenance in Distributed Environments -- 1 Introduction -- 2 Background and Related Work -- 2.1 Data Provenance -- 2.2 Distributed Databases -- 2.3 Related Work -- 3 Provenance in Distributed Databases -- 3.1 Architecture -- 3.2 Annotations -- 3.3 Build Provenance Information -- 4 Experimental Evaluation -- 5 Conclusions and Future Work -- References -- Provenance-Based SPARQL Query Formulation -- 1 Introduction -- 2 Model -- 3 Structural Edits -- 4 Grounding Generator -- 5 Procuring Feedback -- 6 Experiments -- 7 Related Work -- 8 Conclusion."]
[{"$nulls":4},"References -- Anonymisation of Heterogeneous Graphs with Multiple Edge Types -- 1 Introduction -- 2 K-RDF-Neighbourhood Anonymisation with Multiple Edge Types -- 3 Conclusions -- References -- Deep Learning -- A Divergent Index Advisor Using Deep Reinforcement Learning -- 1 Introduction -- 2 Related Work -- 3 DRL Divergent Index Selection Framework -- 3.1 Pre-processing Module -- 3.2 DRL Divergent Index Selection Module -- 3.3 The Cost Estimation Module -- 4 Experimental Results -- 4.1 Experimental Setup -- 5 Conclusion and Future Research -- References -- Deep Active Learning Framework for Crowdsourcing-Enhanced Image Classification and Segmentation -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Notation -- 3.2 Neural Networks for Image Tasks -- 3.3 Active Learning -- 4 Performance Evaluation -- 4.1 Crowdsourcing Image Classification via Active Learning -- 4.2 Crowdsourcing Image Segmentation via Active Learning -- 4.3 Analysis and Discussion -- 5 Conclusions and Perspectives -- References -- Sentiment and Knowledge Based Algorithmic Trading with Deep Reinforcement Learning -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 Reinforcement Learning -- 3.2 Sentiment Analysis -- 3.3 Knowledge Graphs -- 4 Empirical Evaluation -- 4.1 Data -- 4.2 MDP Formulation -- 5 Results and Analysis -- 5.1 Training Data Analysis -- 5.2 Test Data Analysis -- 5.3 Sharpe Ratio -- 6 Discussion and Conclusion -- References -- DeepCore: A Comprehensive Library for "]
[{"$nulls":4},"Coreset Selection in Deep Learning -- 1 Introduction -- 2 Review of Coreset Selection Methods -- 2.1 Problem Statement -- 2.2 Survey: Methodologies -- 2.3 Survey: Applications -- 3 DeepCore Library -- 4 Experiment Results -- 4.1 CIFAR10 Results -- 4.2 ImageNet Results -- 4.3 Cross-architecture Generalization -- 4.4 Sensitiveness to Pre-trained Models -- 5 Extended Related Work."]
[{"$nulls":4},"6 Conclusion -- References -- Context Iterative Learning for Aspect-Level Sentiment Classification -- 1 Introduction -- 2 Related Work -- 3 Context Attention Modules (CAM) -- 3.1 Intra-Multi-Headed Attention Mechanism (Intra-MHA) and Inter-Multi-Headed Attention Mechanism (Inter-MHA) -- 3.2 Context Features Dynamic Mask/Context Features Dynamic Weighted (CDM/CDW) -- 3.3 Position-Wise Feed-Forward Networks (PFFN) and Aspect-Context Representation Output -- 4 Context Iterative Learning Network (CILN) -- 4.1 Pooling Layer and Training -- 5 Experiment -- 5.1 Datasets and Experimental Settings -- 5.2 Baseline and Result -- 6 Conclusion -- References -- Smart Cities and Human Computing -- EcoLight: Eco-friendly Traffic Signal Control Driven by Urban Noise Prediction -- 1 Introduction -- 2 Related Work -- 2.1 Noise Prediction -- 2.2 Traffic Signal Control -- 3 Formalization of the Problem -- 4 EcoLight Approach -- 4.1 Traffic Noise Prediction -- 4.2 Traffic Signal Control -- 5 Experimental Evaluation -- 5.1 Dataset -- 5.2 Experimental Setups -- 5.3 Baseline Methods for Comparison -- 5.4 Evaluation -- 5.5 Results and Discussion -- 6 Conclusion -- References -- Mining Fluctuation Propagation Graph Among Time Series with Active Learning -- 1 Introduction -- 2 Related Work -- 3 Empirical Study of Mining Methods -- 3.1 Experimental Setup -- 3.2 Results -- 4 FPG-Miner: Mine with Active Learning -- 4.1 Recommendation Framework -- 4.2 Continuous Association Rule Classifier -- 5 Experiment -- 5.1 Experimental Setup -- 5.2 Results -- 5.3 Case Study: Root Cause Analysis -- 6 Conclusion -- References -- Towards Efficient Human Action Retrieval Based on Triplet-Loss Metric Learning -- 1 Introduction -- 2 Action Retrieval -- 2.1 Problem Definition -- 2.2 Retrieval Process -- 3 Learning Action Features -- 3.1 Triplet-Loss Learning -- 3.2 Triplet Generation Strategies."]
[{"$nulls":4},"4 Experimental Evaluation -- 4.1 Dataset -- 4.2 Methodology -- 4.3 Experimental Results -- 4.4 State-of-the-Art Comparison -- 5 Conclusions -- References -- KAPP: Knowledge-Aware Hierarchical Attention Network for Popularity Prediction -- 1 Introduction -- 2 Methodology -- 2.1 Knowledge-Aware User Embedding -- 2.2 Attention-Based Retweet Path Encoding -- 2.3 Prediction with Point Process -- 3 Experiments -- 3.1 Experiment Setup -- 3.2 Numerical Results -- 4 Conclusion -- References -- Advanced Machine Learning -- A Heterogeneous Network Representation Learning Approach for Academic Behavior Prediction -- 1 Introduction -- 2 Related Work -- 3 The Mechanism of HNEABP Approach -- 3.1 Balanced Walk Method Based on Edge Number -- 3.2 Balanced Walk Method Based on Edge Loss -- 3.3 Node Pair and Semantic Information Learning Based on KGE -- 3.4 Loss Function -- 3.5 HNEABP Algorithm -- 4 Verification Experiment on Node Representation Learning -- 4.1 Datasets and Baseline Methods -- 4.2 Experimental Setup and Evaluation Criteria -- 4.3 Analysis of Experimental Results -- 5 Conclusion -- References -- A Market Segmentation Aware Retail Itemset Placement Framework -- 1 Introduction -- 2 Related Work -- 3 Proposed Framework of Itemset Placement Problem -- 4 MATRIX and MIPS -- 5 Performance Evaluation -- 6 Conclusion -- References -- Label Selection Algorithm Based on Iteration Column Subset Selection for Multi-label Classification -- 1 Introduction -- 2 Multi-label Classification Using Iteration Column Subset Selection -- 2.1 Notation -- 2.2 Iteration "]
[{"$nulls":4},"Column Subset Selection -- 2.3 Building a Recovery Matrix -- 2.4 Learning the Model and Prediction -- 3 Experiments -- 3.1 Six Benchmark Data Sets and Two Evaluation Metrics -- 3.2 Experimental Settings -- 3.3 Results -- 4 Conclusions -- References."]
[{"$nulls":4},"Accurately Predicting User Registration in Highly Unbalanced Real-World Datasets from Online News Portals."]
[null,"2.","Record Nr.",null,"UNINA9910725088303321"]
[null,null,"Autore",null,"Kunda Ivana"]
[null,null,"Titolo",null,"Balkan Yearbook of European and International Law 2022 / / edited by Ivana Kunda, Zlatan Meškić, Enis Omerović, Dušan V. Popović"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023"]
[null,null,"ISBN",null,"9783031294327"]
[{"$nulls":4},"9783031294310"]
[null,null,"Edizione",null,"[1st ed. 2023.]"]
[null,null,"Descrizione fisica",null,"1 online resource (222 pages)"]
[null,null,"Collana",null,"Balkan Yearbook of European and International Law, , 2524-8723 ; ; 2022"]
[null,null,"Disciplina",null,"346.016"]
[null,null,"Soggetti",null,"Conflict of laws"]
[{"$nulls":4},"International law"]
[{"$nulls":4},"Comparative law"]
[{"$nulls":4},"Law - Europe"]
[{"$nulls":4},"Domestic relations"]
[{"$nulls":4},"Private International Law, International and Foreign Law, Comparative Law"]
[{"$nulls":4},"European Law"]
[{"$nulls":4},"Family Law"]
[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,"1. Portugal and Iceland: Foreign policy constructed by smallness? -- 2. Portugal, the European Union and Shelter Theory -- 3. A Reluctant European: Iceland and European integration -- 4. Portugal and NATO: enduring alliance or necessary shelter? -- 5. The Small State and the Superpower: Iceland’s Relations with the United States -- 6. Iceland´s Relations with the Nordic States -- 7. Portugal’s contemporary relations with Africa: a limited shelter? -- 8. Sino-Icelandic Relations -- 9. The many shades of shelter: Portugal and Iceland´s quest for political, economic and societal shelter."]
[null,null,null,"Sommario/riassunto","The fourth volume of the Balkan Yearbook of European and International Law (BYEIL) presents nine new articles offering scholarly insights into a variety of legal issues, with a special focus on the countries of Southeast Europe. All six articles in the special section reflect the authors’ efforts to untangle difficult questions concerning family property in private international law. Addressing a range of "]
[{"$nulls":4},"topics, leading national experts in the respective areas discuss Bosnian and Herzegovinian, Croatian, Greek, Lithuanian and Turkish law. In turn, the general sections on European law and international law include three articles on diverse topics in private and public law, from a fresh take on the legal and practical effects of Brexit over EUTMs, and the legal nature of cryptocurrencies in different jurisdictions, to difficulties establishing the rule of law in Bosnia and Herzegovina."]