Atti della XXXIII riunione scientifica : Bari 28-30 aprile 1986 / Società italiana di statistica |
Autore | Società italiana di statistica |
Pubbl/distr/stampa | Bari : Cacucci, 1986 |
Descrizione fisica | 3 v. ; 23 cm |
Disciplina | 001.422 |
Soggetto topico | Statistica |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | ita |
Record Nr. | UNISA-990005466570203316 |
Società italiana di statistica | ||
Bari : Cacucci, 1986 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
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Atti della XXXIV riunione scientifica : Siena 27-30 aprile 1988 / Società italiana di statistica |
Autore | Società italiana di statistica |
Pubbl/distr/stampa | Roma : Nuova immagine editrice, 1988 |
Descrizione fisica | 4 v. ; 23 cm |
Disciplina | 001.422 |
Soggetto topico | Statistica |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | ita |
Record Nr. | UNISA-990005466550203316 |
Società italiana di statistica | ||
Roma : Nuova immagine editrice, 1988 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
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Atti della XXXV riunione scientifica : Padova 18-21 aprile 1990 / Società italiana di statistica |
Autore | Società italiana di statistica |
Pubbl/distr/stampa | Padova : CEDAM, 1990 |
Descrizione fisica | 3 v. ; 24 cm |
Disciplina | 001.422 |
Soggetto topico | Statistica |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | ita |
Record Nr. | UNISA-990005466540203316 |
Società italiana di statistica | ||
Padova : CEDAM, 1990 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
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Atti della XXXVII riunione scientifica : San Remo -6-8 aprile 1994 / Società italiana di statistica |
Autore | Società italiana di statistica |
Pubbl/distr/stampa | Roma : CISU, 1994 |
Descrizione fisica | 2 v. ; 24 cm |
Disciplina | 001.422 |
Soggetto topico | Statistica |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | ita |
Record Nr. | UNISA-990005466520203316 |
Società italiana di statistica | ||
Roma : CISU, 1994 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
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AVANZAMENTI metodologici e statistiche ufficiali : atti delle seconde giornate di studio Roma, 9-10 dicembre 1992 |
Pubbl/distr/stampa | Roma : Istat, 1994 |
Descrizione fisica | 442 p. ; 26 cm |
Disciplina | 001.422 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | und |
Record Nr. | UNINA-990006169170403321 |
Roma : Istat, 1994 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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AVANZAMENTI metodologici e statistiche ufficiali : atti delle prime giornate di studio. Roma, 13-14 dicembre 1990 |
Pubbl/distr/stampa | Roma : Istat, 1992 |
Descrizione fisica | 472 p. ; 26 cm |
Disciplina | 001.422 |
Soggetto non controllato | Statistica - Metodi matematici - Congressi |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | ita |
Record Nr. | UNINA-990006796670403321 |
Roma : Istat, 1992 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Bevölkerungsfragen : Bericht des Internationalen Kongresses für Bevölkerungswissenschaft, Berlin, 26. august - 1. september 1935 / herausgegeben im auftrage des präsidenten und des arbeitsausschusses von dr. Hans Harmsen und dr. Franz Lohse |
Autore | Internationalen Kongresses für Bevölkerungswissenschaft : 2. : 26. August - 1. September 1935 |
Pubbl/distr/stampa | Berlin : F.I. Lehmanns, 1935 |
Descrizione fisica | XXVI, 972 p., mit 64 abbildungen , ill. ; 24 cm |
Disciplina | 001.422 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | ger |
Record Nr. | UNINA-990007070570403321 |
Internationalen Kongresses für Bevölkerungswissenschaft : 2. : 26. August - 1. September 1935 | ||
Berlin : F.I. Lehmanns, 1935 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Big Data Analytics and Knowledge Discovery [[electronic resource] ] : 25th International Conference, DaWaK 2023, Penang, Malaysia, August 28–30, 2023, Proceedings / / edited by Robert Wrembel, Johann Gamper, Gabriele Kotsis, A Min Tjoa, Ismail Khalil |
Autore | Wrembel Robert |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (407 pages) |
Disciplina |
001.422
005.7 |
Altri autori (Persone) |
GamperJohann
KotsisGabriele TjoaA. Min KhalilIsmail |
Collana | Lecture Notes in Computer Science |
Soggetto topico |
Quantitative research
Data mining Application software Artificial intelligence Data Analysis and Big Data Data Mining and Knowledge Discovery Computer and Information Systems Applications Artificial Intelligence |
ISBN | 3-031-39831-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Preface -- Organization -- From an Interpretable Predictive Model to a Model Agnostic Explanation (Abstract of Keynote Talk) -- Contents -- Data Quality -- Using Ontologies as Context for Data Warehouse Quality Assessment -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 3.1 Running Example -- 3.2 Data Warehouse Formal Specification -- 3.3 Context Formal Specification -- 4 Data Warehouse to Ontology Mapping -- 5 Context-Based Data Quality Rules -- 6 Experimentation -- 6.1 Implementation -- 6.2 Validation -- 7 Conclusions and Future Work -- References -- Preventing Technical Errors in Data Lake Analyses with Type Theory -- 1 Introduction -- 2 Related Works -- 3 Type-Theoretical Framework -- 4 Conclusion -- References -- EXOS: Explaining Outliers in Data Streams -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 4 The Proposed Algorithm: EXOS -- 4.1 Estimator -- 4.2 Temporal Neighbor Clustering -- 4.3 Outlying Attribute Generators -- 5 Evaluation -- 5.1 Experimental Setup -- 5.2 Results and Analysis -- 6 Conclusions -- References -- Motif Alignment for Time Series Data Augmentation -- 1 Introduction -- 2 Preliminaries -- 2.1 Matrix Profile -- 2.2 Pan-Matrix Profile -- 2.3 DTW Alignment for Time Series Data Augmentation -- 3 Proposed Method -- 3.1 Motif Mapping -- 3.2 Time Series Augmentation -- 4 Experimental Evaluation -- 4.1 Setup -- 4.2 Aligning Time Series Using MotifDTW -- 4.3 Performance Gain -- 5 Conclusion -- References -- State-Transition-Aware Anomaly Detection Under Concept Drifts -- 1 Introduction -- 2 Related Works -- 3 Problem Definition -- 3.1 Terminology -- 3.2 Problem Statement -- 4 State-Transition-Aware Anomaly Detection -- 4.1 Reconstruction and Latent Representation Learning -- 4.2 Drift Detection in the Latent Space -- 4.3 State Transition Model -- 5 Experiment -- 5.1 Experiment Setup -- 5.2 Performance.
6 Conclusion -- References -- Anomaly Detection in Financial Transactions Via Graph-Based Feature Aggregations -- 1 Introduction -- 2 Related Work -- 2.1 Graph Embedding -- 2.2 Anomaly Detection -- 3 Problem Formalization -- 4 Proposed Method -- 4.1 PFA: Proximal Feature Aggregation -- 4.2 AFA: Anomaly Feature Aggregation -- 5 Experiment -- 5.1 Experimental Setup -- 5.2 Effectiveness Evaluation -- 5.3 Scalability Evaluation -- 6 Conclusion -- References -- The Synergies of Context and Data Aging in Recommendations -- 1 Introduction -- 2 ALBA: Adding Aging to LookBack Apriori -- 3 Context Modeling -- 4 Evaluation -- 4.1 Contexts -- 4.2 Methodology -- 4.3 Fitbit Validation -- 4.4 Auditel Validation -- 5 Conclusions and Future Work -- References -- Advanced Analytics and Pattern Discovery -- Hypergraph Embedding Based on Random Walk with Adjusted Transition Probabilities -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 3.1 Notation -- 3.2 Hypergraph Projection -- 3.3 Random Walk and Stationary Distribution -- 3.4 Skip-Gram -- 4 Proposed Method -- 4.1 Random Walk -- 5 Experiment -- 5.1 Transition Probabilities in Steady State -- 5.2 Node Label Estimation -- 5.3 Parameter Dependence of F1 Score -- 6 Conclusion -- References -- Contextual Shift Method (CSM) -- 1 Introduction -- 2 Contextual Shifts -- 3 Contextual Shift Method -- 4 Experiments -- 5 Conclusion -- References -- Utility-Oriented Gradual Itemsets Mining Using High Utility Itemsets Mining -- 1 Introduction -- 2 Preliminary Definitions -- 3 High Utility Gradual Itemsets Mining -- 3.1 Database Encoding -- 3.2 High Utility Gradual Itemsets Extraction -- 4 Experimental Study -- 5 Conclusion -- References -- Discovery of Contrast Itemset with Statistical Background Between Two Continuous Variables -- 1 Introduction -- 2 Contrast ItemSB -- 3 Experimental Results -- 4 Conclusions -- References. DBGAN: A Data Balancing Generative Adversarial Network for Mobility Pattern Recognition -- 1 Introduction -- 2 Related Work -- 3 Background -- 3.1 Reproducing Kernel Hilbert Space Embeddings -- 3.2 Attention Mechanism -- 3.3 Generative Adversarial Network -- 4 DBGAN Mobility Pattern Classification Model -- 4.1 Attributes of Travel Trajectories Utilized for Classification -- 4.2 Sequences to Images with Kernel Embedding -- 4.3 Classification Using Self Attention-Based Generative Adversarial Network -- 5 Evaluation -- 6 Conclusion -- References -- Bitwise Vertical Mining of Minimal Rare Patterns -- 1 Introduction -- 2 Background and Related Works -- 3 Our RP-VIPER Algorithm -- 4 Evaluation -- 5 Conclusions -- References -- Inter-item Time Intervals in Sequential Patterns -- 1 Introduction -- 2 Related Work -- 3 Representing Time in Sequences -- 3.1 Preliminaries -- 3.2 Integrating Intervals in Sequences -- 4 Experiments -- 4.1 Datasets and Models -- 4.2 Results -- 5 Conclusion -- References -- Fair-DSP: Fair Dynamic Survival Prediction on Longitudinal Electronic Health Record -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Fair Dynamic Survival Model -- 3.2 Individual Fairness -- 3.3 Group Fairness -- 4 Experiments -- 4.1 Quantitative Analysis -- 4.2 Sensitivity Study -- 5 Conclusions -- References -- Machine Learning -- DAT@Z21: A Comprehensive Multimodal Dataset for Rumor Classification in Microblogs -- 1 Introduction -- 2 Related Works -- 2.1 Fake Health News Datasets -- 2.2 Fake News Datasets -- 3 Data Collection -- 3.1 News Articles and Ground Truth Collection -- 3.2 Preparing the Tweets Collection -- 3.3 Tweets Collection -- 4 Rumor Classification Using DAT@Z21 -- 4.1 Baselines -- 4.2 Experiment Settings -- 4.3 Experimental Results -- 5 Conclusion and Perspectives -- References. Dealing with Data Bias in Classification: Can Generated Data Ensure Representation and Fairness? -- 1 Introduction -- 2 Related Work -- 3 Measuring Discrimination -- 4 Problem Formulation -- 5 Methodology -- 6 Evaluation -- 6.1 Comparing Pre-processors -- 6.2 Investigating the Fairness-Agnostic Property -- 7 Conclusion -- 8 Discussion and Future Work -- A Proof of Time Complexity -- References -- Random Hypergraph Model Preserving Two-Mode Clustering Coefficient -- 1 Introduction -- 2 Preliminaries -- 3 Extending the Hyper dK-Series to the Case of dv = 2.5+ -- 4 Experiments -- 5 Conclusion -- References -- A Non-overlapping Community Detection Approach Based on -Structural Similarity -- 1 Introduction -- 2 Preliminaries -- 3 A Hierarchical Clustering Approach Based on -Structural Similarity -- 4 Experiments -- 5 Conclusion and Future Work -- A Appendix a -- B Appendix B -- References -- Improving Stochastic Gradient Descent Initializing with Data Summarization -- 1 Introduction -- 2 Definitions -- 2.1 Input Data Set -- 2.2 LR Model -- 3 System and Algorithms -- 3.1 Gamma Summarization () -- 3.2 Mini-batch SGD -- 3.3 Mini-batch SGD Initialization Using Gamma -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Experimental Results -- 5 Related Work -- 6 Conclusions -- References -- Feature Analysis of Regional Behavioral Facilitation Information Based on Source Location and Target People in Disaster -- 1 Introduction -- 2 Related Work -- 3 Basic Concept of RBF Tweet Classification -- 3.1 Extraction of BF Tweets -- 3.2 RBF Tweet Extraction and Classification -- 4 Analysis of RBF Tweets -- 4.1 Training and Test Data -- 4.2 Research Question -- 4.3 Results and Discussion of Research Questions -- 5 Conclusion -- References -- Exploring Dialog Act Recognition in Open Domain Conversational Agents -- 1 Introduction -- 2 Related Works. 3 Proposed Dialog Act Taxonomy -- 3.1 Data Sources -- 4 Proposed Dialog Act Classifier -- 4.1 Experimental Setup -- 4.2 Performance Evaluation -- 4.3 Generalizability of Model -- 5 Conclusion -- References -- UniCausal: Unified Benchmark and Repository for Causal Text Mining -- 1 Introduction -- 2 Related Work -- 2.1 Tasks -- 2.2 Datasets -- 2.3 Other Large Causal Resources -- 3 Methodology -- 3.1 Creation of UniCausal -- 3.2 Baseline Model -- 4 Experiments -- 4.1 Baseline Performance -- 4.2 Impact of Datasets -- 4.3 Adding CauseNet to Investigate the Importance of Linguistic Variation in Examples -- 5 Conclusion -- References -- Deep Learning -- Accounting for Imputation Uncertainty During Neural Network Training -- 1 Introduction -- 2 Related Works -- 3 Contributions -- 3.1 Single-Hotpatching -- 3.2 Multiple-Hotpatching -- 4 Experiments -- 4.1 Experimental Protocol -- 4.2 Results -- 5 Discussion and Conclusion -- References -- Supervised Hybrid Model for Rumor Classification: A Comparative Study of Machine and Deep Learning Approaches -- 1 Introduction -- 2 Related Work -- 3 Datasets and Preprocessing -- 4 Implementation -- 4.1 Traditional ML Approaches -- 4.2 DL Approaches -- 4.3 The Ensemble Stack ML Model -- 4.4 The Hybrid ML-DL Model -- 5 Results and Analysis -- 6 Conclusion and Future Work -- References -- Attention-Based Counterfactual Explanation for Multivariate Time Series -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Notation -- 3.2 Proposed Method -- 4 Experiments -- 4.1 Datasets -- 4.2 Baseline Methods -- 4.3 Experimental Result -- 5 Conclusion -- References -- DRUM: A Real Time Detector for Regime Shifts in Data Streams via an Unsupervised, Multivariate Framework -- 1 Introduction -- 2 Related Work -- 3 DRUM -- 4 Evaluation -- 5 Conclusion -- References. Hierarchical Graph Neural Network with Cross-Attention for Cross-Device User Matching. |
Record Nr. | UNISA-996546854503316 |
Wrembel Robert | ||
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Big Data Analytics and Knowledge Discovery [[electronic resource] ] : 25th International Conference, DaWaK 2023, Penang, Malaysia, August 28–30, 2023, Proceedings / / edited by Robert Wrembel, Johann Gamper, Gabriele Kotsis, A Min Tjoa, Ismail Khalil |
Autore | Wrembel Robert |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (407 pages) |
Disciplina |
001.422
005.7 |
Altri autori (Persone) |
GamperJohann
KotsisGabriele TjoaA. Min KhalilIsmail |
Collana | Lecture Notes in Computer Science |
Soggetto topico |
Quantitative research
Data mining Application software Artificial intelligence Data Analysis and Big Data Data Mining and Knowledge Discovery Computer and Information Systems Applications Artificial Intelligence |
ISBN | 3-031-39831-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Preface -- Organization -- From an Interpretable Predictive Model to a Model Agnostic Explanation (Abstract of Keynote Talk) -- Contents -- Data Quality -- Using Ontologies as Context for Data Warehouse Quality Assessment -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 3.1 Running Example -- 3.2 Data Warehouse Formal Specification -- 3.3 Context Formal Specification -- 4 Data Warehouse to Ontology Mapping -- 5 Context-Based Data Quality Rules -- 6 Experimentation -- 6.1 Implementation -- 6.2 Validation -- 7 Conclusions and Future Work -- References -- Preventing Technical Errors in Data Lake Analyses with Type Theory -- 1 Introduction -- 2 Related Works -- 3 Type-Theoretical Framework -- 4 Conclusion -- References -- EXOS: Explaining Outliers in Data Streams -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 4 The Proposed Algorithm: EXOS -- 4.1 Estimator -- 4.2 Temporal Neighbor Clustering -- 4.3 Outlying Attribute Generators -- 5 Evaluation -- 5.1 Experimental Setup -- 5.2 Results and Analysis -- 6 Conclusions -- References -- Motif Alignment for Time Series Data Augmentation -- 1 Introduction -- 2 Preliminaries -- 2.1 Matrix Profile -- 2.2 Pan-Matrix Profile -- 2.3 DTW Alignment for Time Series Data Augmentation -- 3 Proposed Method -- 3.1 Motif Mapping -- 3.2 Time Series Augmentation -- 4 Experimental Evaluation -- 4.1 Setup -- 4.2 Aligning Time Series Using MotifDTW -- 4.3 Performance Gain -- 5 Conclusion -- References -- State-Transition-Aware Anomaly Detection Under Concept Drifts -- 1 Introduction -- 2 Related Works -- 3 Problem Definition -- 3.1 Terminology -- 3.2 Problem Statement -- 4 State-Transition-Aware Anomaly Detection -- 4.1 Reconstruction and Latent Representation Learning -- 4.2 Drift Detection in the Latent Space -- 4.3 State Transition Model -- 5 Experiment -- 5.1 Experiment Setup -- 5.2 Performance.
6 Conclusion -- References -- Anomaly Detection in Financial Transactions Via Graph-Based Feature Aggregations -- 1 Introduction -- 2 Related Work -- 2.1 Graph Embedding -- 2.2 Anomaly Detection -- 3 Problem Formalization -- 4 Proposed Method -- 4.1 PFA: Proximal Feature Aggregation -- 4.2 AFA: Anomaly Feature Aggregation -- 5 Experiment -- 5.1 Experimental Setup -- 5.2 Effectiveness Evaluation -- 5.3 Scalability Evaluation -- 6 Conclusion -- References -- The Synergies of Context and Data Aging in Recommendations -- 1 Introduction -- 2 ALBA: Adding Aging to LookBack Apriori -- 3 Context Modeling -- 4 Evaluation -- 4.1 Contexts -- 4.2 Methodology -- 4.3 Fitbit Validation -- 4.4 Auditel Validation -- 5 Conclusions and Future Work -- References -- Advanced Analytics and Pattern Discovery -- Hypergraph Embedding Based on Random Walk with Adjusted Transition Probabilities -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 3.1 Notation -- 3.2 Hypergraph Projection -- 3.3 Random Walk and Stationary Distribution -- 3.4 Skip-Gram -- 4 Proposed Method -- 4.1 Random Walk -- 5 Experiment -- 5.1 Transition Probabilities in Steady State -- 5.2 Node Label Estimation -- 5.3 Parameter Dependence of F1 Score -- 6 Conclusion -- References -- Contextual Shift Method (CSM) -- 1 Introduction -- 2 Contextual Shifts -- 3 Contextual Shift Method -- 4 Experiments -- 5 Conclusion -- References -- Utility-Oriented Gradual Itemsets Mining Using High Utility Itemsets Mining -- 1 Introduction -- 2 Preliminary Definitions -- 3 High Utility Gradual Itemsets Mining -- 3.1 Database Encoding -- 3.2 High Utility Gradual Itemsets Extraction -- 4 Experimental Study -- 5 Conclusion -- References -- Discovery of Contrast Itemset with Statistical Background Between Two Continuous Variables -- 1 Introduction -- 2 Contrast ItemSB -- 3 Experimental Results -- 4 Conclusions -- References. DBGAN: A Data Balancing Generative Adversarial Network for Mobility Pattern Recognition -- 1 Introduction -- 2 Related Work -- 3 Background -- 3.1 Reproducing Kernel Hilbert Space Embeddings -- 3.2 Attention Mechanism -- 3.3 Generative Adversarial Network -- 4 DBGAN Mobility Pattern Classification Model -- 4.1 Attributes of Travel Trajectories Utilized for Classification -- 4.2 Sequences to Images with Kernel Embedding -- 4.3 Classification Using Self Attention-Based Generative Adversarial Network -- 5 Evaluation -- 6 Conclusion -- References -- Bitwise Vertical Mining of Minimal Rare Patterns -- 1 Introduction -- 2 Background and Related Works -- 3 Our RP-VIPER Algorithm -- 4 Evaluation -- 5 Conclusions -- References -- Inter-item Time Intervals in Sequential Patterns -- 1 Introduction -- 2 Related Work -- 3 Representing Time in Sequences -- 3.1 Preliminaries -- 3.2 Integrating Intervals in Sequences -- 4 Experiments -- 4.1 Datasets and Models -- 4.2 Results -- 5 Conclusion -- References -- Fair-DSP: Fair Dynamic Survival Prediction on Longitudinal Electronic Health Record -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Fair Dynamic Survival Model -- 3.2 Individual Fairness -- 3.3 Group Fairness -- 4 Experiments -- 4.1 Quantitative Analysis -- 4.2 Sensitivity Study -- 5 Conclusions -- References -- Machine Learning -- DAT@Z21: A Comprehensive Multimodal Dataset for Rumor Classification in Microblogs -- 1 Introduction -- 2 Related Works -- 2.1 Fake Health News Datasets -- 2.2 Fake News Datasets -- 3 Data Collection -- 3.1 News Articles and Ground Truth Collection -- 3.2 Preparing the Tweets Collection -- 3.3 Tweets Collection -- 4 Rumor Classification Using DAT@Z21 -- 4.1 Baselines -- 4.2 Experiment Settings -- 4.3 Experimental Results -- 5 Conclusion and Perspectives -- References. Dealing with Data Bias in Classification: Can Generated Data Ensure Representation and Fairness? -- 1 Introduction -- 2 Related Work -- 3 Measuring Discrimination -- 4 Problem Formulation -- 5 Methodology -- 6 Evaluation -- 6.1 Comparing Pre-processors -- 6.2 Investigating the Fairness-Agnostic Property -- 7 Conclusion -- 8 Discussion and Future Work -- A Proof of Time Complexity -- References -- Random Hypergraph Model Preserving Two-Mode Clustering Coefficient -- 1 Introduction -- 2 Preliminaries -- 3 Extending the Hyper dK-Series to the Case of dv = 2.5+ -- 4 Experiments -- 5 Conclusion -- References -- A Non-overlapping Community Detection Approach Based on -Structural Similarity -- 1 Introduction -- 2 Preliminaries -- 3 A Hierarchical Clustering Approach Based on -Structural Similarity -- 4 Experiments -- 5 Conclusion and Future Work -- A Appendix a -- B Appendix B -- References -- Improving Stochastic Gradient Descent Initializing with Data Summarization -- 1 Introduction -- 2 Definitions -- 2.1 Input Data Set -- 2.2 LR Model -- 3 System and Algorithms -- 3.1 Gamma Summarization () -- 3.2 Mini-batch SGD -- 3.3 Mini-batch SGD Initialization Using Gamma -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Experimental Results -- 5 Related Work -- 6 Conclusions -- References -- Feature Analysis of Regional Behavioral Facilitation Information Based on Source Location and Target People in Disaster -- 1 Introduction -- 2 Related Work -- 3 Basic Concept of RBF Tweet Classification -- 3.1 Extraction of BF Tweets -- 3.2 RBF Tweet Extraction and Classification -- 4 Analysis of RBF Tweets -- 4.1 Training and Test Data -- 4.2 Research Question -- 4.3 Results and Discussion of Research Questions -- 5 Conclusion -- References -- Exploring Dialog Act Recognition in Open Domain Conversational Agents -- 1 Introduction -- 2 Related Works. 3 Proposed Dialog Act Taxonomy -- 3.1 Data Sources -- 4 Proposed Dialog Act Classifier -- 4.1 Experimental Setup -- 4.2 Performance Evaluation -- 4.3 Generalizability of Model -- 5 Conclusion -- References -- UniCausal: Unified Benchmark and Repository for Causal Text Mining -- 1 Introduction -- 2 Related Work -- 2.1 Tasks -- 2.2 Datasets -- 2.3 Other Large Causal Resources -- 3 Methodology -- 3.1 Creation of UniCausal -- 3.2 Baseline Model -- 4 Experiments -- 4.1 Baseline Performance -- 4.2 Impact of Datasets -- 4.3 Adding CauseNet to Investigate the Importance of Linguistic Variation in Examples -- 5 Conclusion -- References -- Deep Learning -- Accounting for Imputation Uncertainty During Neural Network Training -- 1 Introduction -- 2 Related Works -- 3 Contributions -- 3.1 Single-Hotpatching -- 3.2 Multiple-Hotpatching -- 4 Experiments -- 4.1 Experimental Protocol -- 4.2 Results -- 5 Discussion and Conclusion -- References -- Supervised Hybrid Model for Rumor Classification: A Comparative Study of Machine and Deep Learning Approaches -- 1 Introduction -- 2 Related Work -- 3 Datasets and Preprocessing -- 4 Implementation -- 4.1 Traditional ML Approaches -- 4.2 DL Approaches -- 4.3 The Ensemble Stack ML Model -- 4.4 The Hybrid ML-DL Model -- 5 Results and Analysis -- 6 Conclusion and Future Work -- References -- Attention-Based Counterfactual Explanation for Multivariate Time Series -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Notation -- 3.2 Proposed Method -- 4 Experiments -- 4.1 Datasets -- 4.2 Baseline Methods -- 4.3 Experimental Result -- 5 Conclusion -- References -- DRUM: A Real Time Detector for Regime Shifts in Data Streams via an Unsupervised, Multivariate Framework -- 1 Introduction -- 2 Related Work -- 3 DRUM -- 4 Evaluation -- 5 Conclusion -- References. Hierarchical Graph Neural Network with Cross-Attention for Cross-Device User Matching. |
Record Nr. | UNINA-9910741143403321 |
Wrembel Robert | ||
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
A body living and not measurable : how bodies are constructed, scripted and performed through time and space / / Kathleen Glenister Robers; Ya-hui Irenna Chang; Łukasz Matuszyk |
Pubbl/distr/stampa | Oxford, United Kingdom : , : Inter-Disciplinary Press, , [2016] |
Descrizione fisica | 1 online resource |
Disciplina | 001.422 |
Soggetto topico | Spatial analysis |
Soggetto genere / forma | Electronic books. |
ISBN | 1-84888-437-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Preliminary Material / Kathleen Glenister Roberts , Ya-hui Irenna Chang and Łukasz Matuszyk -- Time, Space and Body Reading in Terms of Cyberpunk Style in Science Fiction Cinema: The Case of the Island Movie / Sonay Ayyıldız and Senem Müştak -- Sandra Cisneros’ The House on Mango Street: How Your Body Determines the Space You Occupy / Ya-hui Irenna Chang -- Cold Case: Investigating Time, Space and the Body in Agatha Christie’s Five Little Pigs (1942) / Rachel Franks -- Body, Time and Architecture in Liberature / Łukasz Matuszyk -- Epideictics and Eternity: Functions of the Time-Present in Ritual Speech / Kathleen Glenister Roberts -- Investigations of Body and Space Relations in the Context of Performance / Damla Duru , Fatma Erkök and Pelin Dursun -- Illuminating the Empty Space / Simon Dwyer -- Engaging New Media in Performance Space: New Tools, New Settings, New Bodily Experiences / Fatma Erkök -- Experience and the Interaction Between Body and Space / Saime Gümüştaş and Fatma Erkök -- The Choreography of Space with Body / Esin Hasgül and Saime Gümüştaş -- The Ambivalence of the Monstrous Body: From Freak Shows to Arts / Virgínia Laís Souza -- Cast Space: Subverting the Spatial Paradigm / Peter W. Ferretto -- Tributes and Temporality at Canada’s National War Memorial / Reina Green -- Considering Clothing and Its Relation to Interior Architecture / Alistair Neil Harkess and Patricia Hepp -- 21st Century ‘Disciplinary Institutions’: The Making of Disability across Time / Leah Metcalf -- The Cracks in Detroit: Stories of Hopeful Bodies in Desolate Spaces / Shelley Smith -- Bodily Interventions in an Urban Context / İrem Burcu Ummansu and Pelin Dursun Çebi. |
Record Nr. | UNINA-9910511491003321 |
Oxford, United Kingdom : , : Inter-Disciplinary Press, , [2016] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|