LEADER 03430nam 2200577 a 450 001 9910963409703321 005 20240430183409.0 010 $a9780191819124 010 $a0191819123 010 $a9781280846939 010 $a1280846933 010 $a9780191568503 010 $a0191568503 035 $a(CKB)2550000001203611 035 $a(StDuBDS)AH24081542 035 $a(StDuBDS)EDZ0001170522 035 $a(PPN)236023977 035 $a(MiAaPQ)EBC431314 035 $a(EXLCZ)992550000001203611 100 $a20031007d2004 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aP. Ovidii Nasonis Metamorphoses /$f[edited by] R.J. Tarrant 205 $a1st ed. 210 $aOxford $cOxford University Press$d2004 215 $a1 online resource (xlviii, 534 p.) 225 1 $aOxford classical texts 311 08$a9780198146667 311 08$a0198146663 327 $aOTO 330 $aAn 'Oxford Classical Texts' edition of Ovid's 'Metamorphoses' has been planned for a very long time, but earlier efforts by D.A. Slater and Franco Munari were not completed. Building on their work and that of many other scholars, R.J. Tarrant has produced this text. 330 $bAn Oxford Classical texts edition of Ovid's Metamorphoses has been planned for nearly a century, but earlier efforts by D. A. Slater and Franco Munari were not completed, largely because of the size and complexity of the manuscript tradition. Building on their work and that of many other scholars, R. J. Tarrant has produced a text with a broader manuscript foundation than any previous modern edition. The early fragments and oldest manuscripts have been freshly collated, and the twelfth-century manuscripts have been fully drawn on for the first time; as a result many potentially original readings that had been attributed to later manuscript sources or even to modern scholars can now be located in the mainstream of the medieval tradition. In establishing the text, Tarrant has been more generous than his immediate predecessors in adopting and recording scholarly conjectures, among them a number of emendations not previously published. In the matter of interpolated verses Tarrant has taken a more sceptical view of the transmitted text than editors of the last century; some of the lines he has bracketed had been suspected by earlier editors (especially Nicolaas Heinsius), but other proposed deletions are new. In the apparatus the editor has often noted that a rejected variant or conjecture offers a plausible alternative to the text printed, thereby calling attention to the many places where the original reading remains open to question. Offering a wealth of new information and ideas, this edition will be indispensable for all future study of Ovid's masterwork. 410 0$aOxford classical texts 517 0 $aMetamorphoses 606 $aMythology, Classical$vPoetry 608 $aElectronic books.$2lcsh 615 0$aMythology, Classical 676 $a871.01 700 $aOvid$f43 B.C.-17 A.D. or 18 A.D.$0154954 701 $aTarrant$b R. J$g(Richard John),$f1945-$01791761 801 0$bStDuBDS 801 2$bUk 801 2$bStDuBDSZ 801 2$bUkPrAHLS 906 $aBOOK 912 $a9910963409703321 996 $aP. Ovidii Nasonis Metamorphoses$94329555 997 $aUNINA LEADER 06831nam 22007215 450 001 9910595035103321 005 20251225200522.0 010 $a9783031165641 010 $a3031165640 024 7 $a10.1007/978-3-031-16564-1 035 $a(CKB)5840000000091687 035 $a(MiAaPQ)EBC7102094 035 $a(Au-PeEL)EBL7102094 035 $a(DE-He213)978-3-031-16564-1 035 $a(PPN)264953118 035 $a(EXLCZ)995840000000091687 100 $a20220908d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aFoundations of Intelligent Systems $e26th International Symposium, ISMIS 2022, Cosenza, Italy, October 3?5, 2022, Proceedings /$fedited by Michelangelo Ceci, Sergio Flesca, Elio Masciari, Giuseppe Manco, Zbigniew W. Ra? 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (497 pages) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v13515 311 08$a9783031165641 311 08$a9783031165634 311 08$a3031165632 320 $aIncludes bibliographical references and index. 327 $aSocial Media and Recommendation -- Granular Emotion Detection in Social Media Using Multi-Discipline Ensembles -- Sentiment Polarity and Emotion Detection from Tweets Using Distant Supervision and Deep Learning Models -- Disruptive Event Identification in Online Social Network -- Modeling Polarization on Social Media Posts: A Heuristic Approach Using Media Bias -- Sarcasm detection in Tunisian social media comments: Case of COVID-19 -- Multimodal Deep Learning and Fast Retrieval for Recommendation -- Natural Language Processing -- Mining news articles dealing with Food Security -- Identification of Paragraph Regularities in Legal Judgements through Clustering and Textual Embedding -- Aspect term extraction improvement based on a hybrid method -- Exploring the Impact of Gender Bias Mitigation Approaches on a Downstream Classification Task -- A semi-automatic data generator for Query Answering -- Explainability, -- XAI to explore robustness of features in adversarial training for cybersecurity -- Impact of Feedback Type on Explanatory Interactive Learning -- Learning and Explanation of Extreme Multi-Label Deep Classification Models for Media Content -- An Interpretable Machine Learning Approach to Prioritizing Factors Contributing to Clinician Burnout -- A general-purpose method for applying Explainable AI for Anomaly Detection -- More Sanity Checks for Saliency Maps -- Intelligent Systems -- Deep Reinforcement Learning for Automated Stock Trading: Inclusion of Short Selling -- Scaling Posterior Distributions over Differently-Curated Datasets: A Bayesian-Neural-Networks Methodology -- Ensembling Sparse Autoencoders for Network Covert Channel Detection in IoT Ecosystems -- Towards Automation of Pollen Monitoring: Image-Based Tree Pollen Recognition -- Rough Sets for Intelligence on Embedded Systems -- Context as a Distance Function in ConSQL -- Classification and Clustering -- Detecting Anomalies with LatentOut: Novel Scores, Architectures, and Settings -- Richness Fallacy -- Adapting loss functions to learning progress improves accuracy of classification in neural networks -- Multiscale and multivariate time series clustering: A new approach -- Improve Calibration Robustness of Temperature Scaling by Penalizing Output Entropy -- Understanding Negative Calibration from Entropy Perspective -- A New Clustering Preserving Transformation for $k$-Means Algorithm Output -- Complex Data -- A Transformer-Based Framework for Geomagnetic Activity Prediction -- AS-SIM: an approach to Action-State Process Model Discovery -- Combining Active Learning and Fast DNN Ensembles for Process Deviance Discovery -- Temporal Graph-based CNNs (TG-CNNs) for Online Course Dropout Prediction -- Graph Convolutional Networks Using Node Addition and Edge Reweighting -- Audio Super-Resolution via Vision Transformer -- Similarity embedded temporal Transformers: Enhancing stock predictions with historically similar trends -- Investigating noise interference on speech towards applying the Lombard effect automatically -- Medical Applications -- Towards Polynomial Adaptive Local Explanations for Healthcare Classifiers -- Towards Tailored Intervention in Medicine Using Patients? Segmentation -- Application of association rules to classify IBD patients -- Unsupervised Learning Based Rule Generating System with Temporal Features Extractions Tuned for Tinnitus Retraining Therapy -- Industrial Applications -- TrueDetective 4.0: a Big data architetture for real time anomaly detection -- Optimising the Machine Translation Workflow: Analysis, Development, Benchmarking, Testing and Maintenance -- Classification vs Recommendation methods for Therapeutics Recommendation -- Document LayoutAnalysis with Variational Autoencoders : an Industrial Application. 330 $aThis book constitutes the proceedings of the 26th International Symposium on Foundations of Intelligent Systems, ISMIS 2022, held in Cosenza, Italy, in October 2022. The 31 regular papers, 11 short papers and 4 industrial papers presented in this volume were carefully reviewed and selected from 71 submissions. They were organized in topical sections as follows: Social Media and Recommendation; Natural Language Processing; Explainability; Intelligent Systems; Classification and Clustering; Complex Data; Medical Applications; Industrial Applications. . 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v13515 606 $aArtificial intelligence 606 $aApplication software 606 $aData mining 606 $aSocial sciences$xData processing 606 $aComputer vision 606 $aArtificial Intelligence 606 $aComputer and Information Systems Applications 606 $aData Mining and Knowledge Discovery 606 $aComputer Application in Social and Behavioral Sciences 606 $aComputer Vision 615 0$aArtificial intelligence. 615 0$aApplication software. 615 0$aData mining. 615 0$aSocial sciences$xData processing. 615 0$aComputer vision. 615 14$aArtificial Intelligence. 615 24$aComputer and Information Systems Applications. 615 24$aData Mining and Knowledge Discovery. 615 24$aComputer Application in Social and Behavioral Sciences. 615 24$aComputer Vision. 676 $a060 702 $aCeci$b Michelangelo 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910595035103321 996 $aFoundations of Intelligent Systems$9772565 997 $aUNINA