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Advances in stochastic and deterministic global optimization [[electronic resource] /] / edited by Panos M. Pardalos, Anatoly Zhigljavsky, Julius Žilinskas
| Advances in stochastic and deterministic global optimization [[electronic resource] /] / edited by Panos M. Pardalos, Anatoly Zhigljavsky, Julius Žilinskas |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XIII, 296 p. 69 illus., 42 illus. in color.) |
| Disciplina | 510 |
| Collana | Springer Optimization and Its Applications |
| Soggetto topico |
Mathematical optimization
Probabilities Algorithms Numerical analysis Computer science—Mathematics Computer mathematics Optimization Probability Theory and Stochastic Processes Numerical Analysis Mathematical Applications in Computer Science |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I: Theory and Algorithms for Global Optimization -- On the Asymptotic Tractability of Global Optimization -- Combining Interval and Probabilistic Uncertainty: What Is Computable? -- Survey of Piecewise Convex Maximization and PCMP over Spherical Sets -- Assessing Basin Identification Methods for Locating Multiple Optima -- Part II: Applications of Global Optimization -- Cloud Computing Approach for Intelligent Visualization of Multidimensional Data -- Comparative Study of Different Penalty Functions and Algorithms in Survey Calibration -- Multidimensional Scaling for Genomic Data -- Solving Stochastic Ship Fleet Routing Problems with Inventory Management Using Branch and Price -- Investigation of Data Regularization and Optimization of Timetables by Lithuanian High Schools Example -- Dynamic Global Optimisation Methods for Determining Guaranteed Solutions in Chemical Engineering -- On the Least-Squares Fitting of Data by Sinusoids -- Part III: Multi-objective Global Optimization -- A Multicriteria Generalization of Bayesian Global Optimization -- Understanding the Impact of Constraints: a Rank Based Fitness Function for Evolutionary Methods -- Estimating the Pareto Front of a Hard Bi-criterion Competitive Facility Location Problem -- On Sampling Methods for Costly Multi-objective Black-box Optimization. |
| Record Nr. | UNINA-9910149490903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Analysis of Images, Social Networks and Texts [[electronic resource] ] : 11th International Conference, AIST 2023, Yerevan, Armenia, September 28–30, 2023, Revised Selected Papers / / edited by Dmitry I. Ignatov, Michael Khachay, Andrey Kutuzov, Habet Madoyan, Ilya Makarov, Irina Nikishina, Alexander Panchenko, Maxim Panov, Panos M. Pardalos, Andrey V. Savchenko, Evgenii Tsymbalov, Elena Tutubalina, Sergey Zagoruyko
| Analysis of Images, Social Networks and Texts [[electronic resource] ] : 11th International Conference, AIST 2023, Yerevan, Armenia, September 28–30, 2023, Revised Selected Papers / / edited by Dmitry I. Ignatov, Michael Khachay, Andrey Kutuzov, Habet Madoyan, Ilya Makarov, Irina Nikishina, Alexander Panchenko, Maxim Panov, Panos M. Pardalos, Andrey V. Savchenko, Evgenii Tsymbalov, Elena Tutubalina, Sergey Zagoruyko |
| Autore | Ignatov Dmitry I |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (376 pages) |
| Disciplina | 006.312 |
| Altri autori (Persone) |
KhachayMichael
KutuzovAndrey MadoyanHabet MakarovIlya NikishinaIrina PanchenkoAlexander PanovMaxim PardalosPanos M SavchenkoAndrey V |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Data mining
Machine learning Database management Natural language processing (Computer science) Information storage and retrieval systems Application software Data Mining and Knowledge Discovery Machine Learning Database Management Natural Language Processing (NLP) Information Storage and Retrieval Computer and Information Systems Applications |
| ISBN | 3-031-54534-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Paper: Threatening Expression and Target Identification in under-resource languages using NLP Techniques -- Natural Language Processing: Benchmarking Multi-Label Topic Classification in Kyrgyz Language -- Transformers compression: A study of matrix decomposition methods using Fisher information -- Leveraging Lexical Taxonomy Data in Large Language Models for Hyponymy Prediction -- Content selection in abstractive summarization with biased encoder mixtures -- RuCAM: Comparative Argumentative Machine for the Russian Language -- Paraphrasers and Classifiers: Controllable Text Generation for Text Style Transfer -- Less than Necessary or More than Sufficient: Validating Probing Dataset Size -- Unsupervised Ultra-Fine Entity Typing with Distributionally Induced Word Senses -- Static, dynamic, or contextualized: what is the best approach for discovering semantic shifts in Russian media? -- Controllable Story Generation Based on Perplexity Minimization -- Automatic Detection of Dialectal Features of Pskov Dialects in the Speech of Native Speakers -- Needle in a Haystack: Finding Suitable Idioms Based on Text Descriptions -- Computer Vision: DeepLOC: Deep Learning-based Bone Pathology Localization and Classification in Wrist X-ray Images -- MiVOLO: Multi-input Transformer for Age and Gender Estimation -- Handwritten Text Recognition and Browsing in Archive of Prisoners’ Letters from Smolensk Convict Prison -- Greedy Algorithm for Fast Finding Curvilinear Symmetry of Binary Raster Images.-Data Analysis and Machine Learning: Ensemble Clustering with Heterogeneous Transfer Learning -- Detecting design patterns in Android applications with CodeBERT embeddings and CK metrics -- Metamorphic testing for recommender systems -- Application of Dynamic Graph CNN* and FICP for Detection and Research Archaeology Sites -- Network Analysis: Visualization-Driven Graph Sampling Strategy for Exploring Large-Scale Networks -- Limit Distributions of Friendship Index in Scale-Free Networks -- Theoretical Machine Learning and Optimization: The Problem of Finding Several Given Diameter Spanning Trees of Maximum Total Weight in a Complete Graph -- Is Canfield Right? On the Asymptotic Coefficients for the Maximum Antichain of Partitions and Related Counting Inequalitie. |
| Record Nr. | UNINA-9910845094503321 |
Ignatov Dmitry I
|
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Analysis of Images, Social Networks and Texts [[electronic resource] ] : 11th International Conference, AIST 2023, Yerevan, Armenia, September 28–30, 2023, Revised Selected Papers / / edited by Dmitry I. Ignatov, Michael Khachay, Andrey Kutuzov, Habet Madoyan, Ilya Makarov, Irina Nikishina, Alexander Panchenko, Maxim Panov, Panos M. Pardalos, Andrey V. Savchenko, Evgenii Tsymbalov, Elena Tutubalina, Sergey Zagoruyko
| Analysis of Images, Social Networks and Texts [[electronic resource] ] : 11th International Conference, AIST 2023, Yerevan, Armenia, September 28–30, 2023, Revised Selected Papers / / edited by Dmitry I. Ignatov, Michael Khachay, Andrey Kutuzov, Habet Madoyan, Ilya Makarov, Irina Nikishina, Alexander Panchenko, Maxim Panov, Panos M. Pardalos, Andrey V. Savchenko, Evgenii Tsymbalov, Elena Tutubalina, Sergey Zagoruyko |
| Autore | Ignatov Dmitry I |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (376 pages) |
| Disciplina | 006.312 |
| Altri autori (Persone) |
KhachayMichael
KutuzovAndrey MadoyanHabet MakarovIlya NikishinaIrina PanchenkoAlexander PanovMaxim PardalosPanos M SavchenkoAndrey V |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Data mining
Machine learning Database management Natural language processing (Computer science) Information storage and retrieval systems Application software Data Mining and Knowledge Discovery Machine Learning Database Management Natural Language Processing (NLP) Information Storage and Retrieval Computer and Information Systems Applications |
| ISBN | 3-031-54534-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Paper: Threatening Expression and Target Identification in under-resource languages using NLP Techniques -- Natural Language Processing: Benchmarking Multi-Label Topic Classification in Kyrgyz Language -- Transformers compression: A study of matrix decomposition methods using Fisher information -- Leveraging Lexical Taxonomy Data in Large Language Models for Hyponymy Prediction -- Content selection in abstractive summarization with biased encoder mixtures -- RuCAM: Comparative Argumentative Machine for the Russian Language -- Paraphrasers and Classifiers: Controllable Text Generation for Text Style Transfer -- Less than Necessary or More than Sufficient: Validating Probing Dataset Size -- Unsupervised Ultra-Fine Entity Typing with Distributionally Induced Word Senses -- Static, dynamic, or contextualized: what is the best approach for discovering semantic shifts in Russian media? -- Controllable Story Generation Based on Perplexity Minimization -- Automatic Detection of Dialectal Features of Pskov Dialects in the Speech of Native Speakers -- Needle in a Haystack: Finding Suitable Idioms Based on Text Descriptions -- Computer Vision: DeepLOC: Deep Learning-based Bone Pathology Localization and Classification in Wrist X-ray Images -- MiVOLO: Multi-input Transformer for Age and Gender Estimation -- Handwritten Text Recognition and Browsing in Archive of Prisoners’ Letters from Smolensk Convict Prison -- Greedy Algorithm for Fast Finding Curvilinear Symmetry of Binary Raster Images.-Data Analysis and Machine Learning: Ensemble Clustering with Heterogeneous Transfer Learning -- Detecting design patterns in Android applications with CodeBERT embeddings and CK metrics -- Metamorphic testing for recommender systems -- Application of Dynamic Graph CNN* and FICP for Detection and Research Archaeology Sites -- Network Analysis: Visualization-Driven Graph Sampling Strategy for Exploring Large-Scale Networks -- Limit Distributions of Friendship Index in Scale-Free Networks -- Theoretical Machine Learning and Optimization: The Problem of Finding Several Given Diameter Spanning Trees of Maximum Total Weight in a Complete Graph -- Is Canfield Right? On the Asymptotic Coefficients for the Maximum Antichain of Partitions and Related Counting Inequalitie. |
| Record Nr. | UNISA-996589545303316 |
|
Ignatov Dmitry I
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Analysis of Images, Social Networks and Texts [[electronic resource] ] : 8th International Conference, AIST 2019, Kazan, Russia, July 17–19, 2019, Revised Selected Papers / / edited by Wil M. P. van der Aalst, Vladimir Batagelj, Dmitry I. Ignatov, Michael Khachay, Valentina Kuskova, Andrey Kutuzov, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia Loukachevitch, Amedeo Napoli, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko, Elena Tutubalina
| Analysis of Images, Social Networks and Texts [[electronic resource] ] : 8th International Conference, AIST 2019, Kazan, Russia, July 17–19, 2019, Revised Selected Papers / / edited by Wil M. P. van der Aalst, Vladimir Batagelj, Dmitry I. Ignatov, Michael Khachay, Valentina Kuskova, Andrey Kutuzov, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia Loukachevitch, Amedeo Napoli, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko, Elena Tutubalina |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XX, 354 p. 197 illus., 61 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Data mining
Machine learning Application software Computers Optical data processing Data Mining and Knowledge Discovery Machine Learning Information Systems Applications (incl. Internet) Computer Appl. in Social and Behavioral Sciences Computing Milieux Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN | 3-030-39575-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | General Topics of Data Analysis -- Natural Language Processing -- Social Network Analysis -- Analysis of Images and Video -- Optimization Problems on Graphs and Network Structures -- Analysis of Dynamic Behaviour through Event Data. |
| Record Nr. | UNINA-9910380746903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Analysis of Images, Social Networks and Texts [[electronic resource] ] : 8th International Conference, AIST 2019, Kazan, Russia, July 17–19, 2019, Revised Selected Papers / / edited by Wil M. P. van der Aalst, Vladimir Batagelj, Dmitry I. Ignatov, Michael Khachay, Valentina Kuskova, Andrey Kutuzov, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia Loukachevitch, Amedeo Napoli, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko, Elena Tutubalina
| Analysis of Images, Social Networks and Texts [[electronic resource] ] : 8th International Conference, AIST 2019, Kazan, Russia, July 17–19, 2019, Revised Selected Papers / / edited by Wil M. P. van der Aalst, Vladimir Batagelj, Dmitry I. Ignatov, Michael Khachay, Valentina Kuskova, Andrey Kutuzov, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia Loukachevitch, Amedeo Napoli, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko, Elena Tutubalina |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XX, 354 p. 197 illus., 61 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Data mining
Machine learning Application software Computers Optical data processing Data Mining and Knowledge Discovery Machine Learning Information Systems Applications (incl. Internet) Computer Appl. in Social and Behavioral Sciences Computing Milieux Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN | 3-030-39575-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | General Topics of Data Analysis -- Natural Language Processing -- Social Network Analysis -- Analysis of Images and Video -- Optimization Problems on Graphs and Network Structures -- Analysis of Dynamic Behaviour through Event Data. |
| Record Nr. | UNISA-996465457303316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Analysis of Images, Social Networks and Texts [[electronic resource] ] : 8th International Conference, AIST 2019, Kazan, Russia, July 17–19, 2019, Revised Selected Papers / / edited by Wil M. P. van der Aalst, Vladimir Batagelj, Dmitry I. Ignatov, Michael Khachay, Valentina Kuskova, Andrey Kutuzov, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia Loukachevitch, Amedeo Napoli, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko, Elena Tutubalina
| Analysis of Images, Social Networks and Texts [[electronic resource] ] : 8th International Conference, AIST 2019, Kazan, Russia, July 17–19, 2019, Revised Selected Papers / / edited by Wil M. P. van der Aalst, Vladimir Batagelj, Dmitry I. Ignatov, Michael Khachay, Valentina Kuskova, Andrey Kutuzov, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia Loukachevitch, Amedeo Napoli, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko, Elena Tutubalina |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (441 pages) |
| Disciplina | 006.312 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Data mining
Optical data processing Artificial intelligence Database management Application software Data Mining and Knowledge Discovery Image Processing and Computer Vision Artificial Intelligence Database Management Computer Appl. in Social and Behavioral Sciences |
| ISBN | 3-030-37334-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Opinion Talk -- Double-blind peer-reviewing and inclusiveness in Russian NLP conferences -- Tutorial -- Intel® Distribution of OpenVINO™ toolkit: a case study of semantic Segmentation -- General Topics of Data Analysis -- Experimental Analysis of Approaches to Multidimensional Conditional Density Estimation -- Histogram-based algorithm for building gradient boosting ensembles of piecewise linear decision trees -- Deep Reinforcement Learning in Match-3 Game -- Distance in Geographic and Characteristics Space for Real Estate Price Prediction -- Fast Nearest-Neighbor Classifier based on Sequential Analysis of Principal Components -- A Simple Method to Evaluate Support Size and Non-uniformity of a Decoder-Based Generative Model -- Natural Language Processing -- Biomedical Entities Impact on Rating Prediction for Psychiatric Drugs -- Combining Neural Language Models for WordSense Induction -- Log-based Reading Speed Prediction: a Case Study on War and Peace -- Cross-lingual argumentation mining for Russian texts -- Dynamic Topic Models for Retrospective Event Detection: A Study on Soviet Opposition-Leaning Media -- Deep Embeddings for Brand Detection in Product Titles -- Wear the Right Head: Comparing Strategies for Encoding Sentences for Aspects Extraction -- Combined Advertising Sign Classifier -- A comparison of algorithms for detection of "figurativeness" in metaphor, irony and puns -- Authorship Attribution in Russian with New High-Performing and Fully Interpretable Morpho-Syntactic Features -- Evaluation of Sentence Embedding Models for Natural Language Understating Problems in Russian -- Noun Compositionality Detection using Distributional Semantics for the Russian Language -- Deep JEDi: Deep Joint Entity Disambiguation to Wikipedia for Russian -- Selecting an optimal feature set for stance detection -- Social network analysis -- Analysis of Students Educational Interests Using Social Networks Data -- Multilevel Exponential Random Graph Models Application to Civil Participation Studies -- The Entity Name Identification in Classification Algorithm: Testing the Advocacy Coalition Framework by Document Analysis (the Case of Russian Civil Society Policy) -- Analysis of Images and Video -- Multi-label Image Set Recognition in Visually-Aware Recommender Systems -- Input simplifying as an approach for improving neural network efficiency -- American and Russian Sign Language Dactyl Recognition and Text2Sign Translation -- Data augmentation with GAN: improving chest X-rays pathologies prediction on class-imbalanced cases -- Estimation of non-radial geometric distortions for dash cams -- On Expert-defined versus Learned Hierarchies for Image Classification -- A switching morphological algorithm for depth map recovery -- Learning to Approximate Directional Fields Defined over 2D Planes -- Optimization Problems on Graphs and Network Structures -- Fast and Exact Algorithms for Some NP-Hard 2-Clustering Problems in the One-Dimensional Case -- Efficient PTAS for the Euclidean Capacitated Vehicle Routing Problem with non-uniform non-splittable demand -- Analysis of Dynamic Behavior Through Event Data -- Detection of Anomalies in the Criminal Proceedings Based on the Analysis of Event Logs -- Method to Improve Workow Net Decomposition for Process Model Repair. |
| Record Nr. | UNINA-9910364954503321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Analysis of Images, Social Networks and Texts [[electronic resource] ] : 8th International Conference, AIST 2019, Kazan, Russia, July 17–19, 2019, Revised Selected Papers / / edited by Wil M. P. van der Aalst, Vladimir Batagelj, Dmitry I. Ignatov, Michael Khachay, Valentina Kuskova, Andrey Kutuzov, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia Loukachevitch, Amedeo Napoli, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko, Elena Tutubalina
| Analysis of Images, Social Networks and Texts [[electronic resource] ] : 8th International Conference, AIST 2019, Kazan, Russia, July 17–19, 2019, Revised Selected Papers / / edited by Wil M. P. van der Aalst, Vladimir Batagelj, Dmitry I. Ignatov, Michael Khachay, Valentina Kuskova, Andrey Kutuzov, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia Loukachevitch, Amedeo Napoli, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko, Elena Tutubalina |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (441 pages) |
| Disciplina | 006.312 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Data mining
Optical data processing Artificial intelligence Database management Application software Data Mining and Knowledge Discovery Image Processing and Computer Vision Artificial Intelligence Database Management Computer Appl. in Social and Behavioral Sciences |
| ISBN | 3-030-37334-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Opinion Talk -- Double-blind peer-reviewing and inclusiveness in Russian NLP conferences -- Tutorial -- Intel® Distribution of OpenVINO™ toolkit: a case study of semantic Segmentation -- General Topics of Data Analysis -- Experimental Analysis of Approaches to Multidimensional Conditional Density Estimation -- Histogram-based algorithm for building gradient boosting ensembles of piecewise linear decision trees -- Deep Reinforcement Learning in Match-3 Game -- Distance in Geographic and Characteristics Space for Real Estate Price Prediction -- Fast Nearest-Neighbor Classifier based on Sequential Analysis of Principal Components -- A Simple Method to Evaluate Support Size and Non-uniformity of a Decoder-Based Generative Model -- Natural Language Processing -- Biomedical Entities Impact on Rating Prediction for Psychiatric Drugs -- Combining Neural Language Models for WordSense Induction -- Log-based Reading Speed Prediction: a Case Study on War and Peace -- Cross-lingual argumentation mining for Russian texts -- Dynamic Topic Models for Retrospective Event Detection: A Study on Soviet Opposition-Leaning Media -- Deep Embeddings for Brand Detection in Product Titles -- Wear the Right Head: Comparing Strategies for Encoding Sentences for Aspects Extraction -- Combined Advertising Sign Classifier -- A comparison of algorithms for detection of "figurativeness" in metaphor, irony and puns -- Authorship Attribution in Russian with New High-Performing and Fully Interpretable Morpho-Syntactic Features -- Evaluation of Sentence Embedding Models for Natural Language Understating Problems in Russian -- Noun Compositionality Detection using Distributional Semantics for the Russian Language -- Deep JEDi: Deep Joint Entity Disambiguation to Wikipedia for Russian -- Selecting an optimal feature set for stance detection -- Social network analysis -- Analysis of Students Educational Interests Using Social Networks Data -- Multilevel Exponential Random Graph Models Application to Civil Participation Studies -- The Entity Name Identification in Classification Algorithm: Testing the Advocacy Coalition Framework by Document Analysis (the Case of Russian Civil Society Policy) -- Analysis of Images and Video -- Multi-label Image Set Recognition in Visually-Aware Recommender Systems -- Input simplifying as an approach for improving neural network efficiency -- American and Russian Sign Language Dactyl Recognition and Text2Sign Translation -- Data augmentation with GAN: improving chest X-rays pathologies prediction on class-imbalanced cases -- Estimation of non-radial geometric distortions for dash cams -- On Expert-defined versus Learned Hierarchies for Image Classification -- A switching morphological algorithm for depth map recovery -- Learning to Approximate Directional Fields Defined over 2D Planes -- Optimization Problems on Graphs and Network Structures -- Fast and Exact Algorithms for Some NP-Hard 2-Clustering Problems in the One-Dimensional Case -- Efficient PTAS for the Euclidean Capacitated Vehicle Routing Problem with non-uniform non-splittable demand -- Analysis of Dynamic Behavior Through Event Data -- Detection of Anomalies in the Criminal Proceedings Based on the Analysis of Event Logs -- Method to Improve Workow Net Decomposition for Process Model Repair. |
| Record Nr. | UNISA-996466187603316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Analysis of Images, Social Networks and Texts [[electronic resource] ] : 7th International Conference, AIST 2018, Moscow, Russia, July 5–7, 2018, Revised Selected Papers / / edited by Wil M. P. van der Aalst, Vladimir Batagelj, Goran Glavaš, Dmitry I. Ignatov, Michael Khachay, Sergei O. Kuznetsov, Olessia Koltsova, Irina A. Lomazova, Natalia Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko
| Analysis of Images, Social Networks and Texts [[electronic resource] ] : 7th International Conference, AIST 2018, Moscow, Russia, July 5–7, 2018, Revised Selected Papers / / edited by Wil M. P. van der Aalst, Vladimir Batagelj, Goran Glavaš, Dmitry I. Ignatov, Michael Khachay, Sergei O. Kuznetsov, Olessia Koltsova, Irina A. Lomazova, Natalia Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XXV, 344 p. 168 illus., 74 illus. in color.) |
| Disciplina | 006.312 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Data mining
Artificial intelligence Information storage and retrieval Application software Optical data processing Data Mining and Knowledge Discovery Artificial Intelligence Information Storage and Retrieval Information Systems Applications (incl. Internet) Image Processing and Computer Vision |
| ISBN | 3-030-11027-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Opening Talk -- Social Network Analysis -- Natural Language Processing -- Analysis of Images and Video -- General Topics of Data Analysis -- Analysis of Dynamic Behavior through Event Data -- Optimization Problems on Graphs and Network Structures -- Innovative Systems. |
| Record Nr. | UNINA-9910349385803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Analysis of Images, Social Networks and Texts [[electronic resource] ] : 7th International Conference, AIST 2018, Moscow, Russia, July 5–7, 2018, Revised Selected Papers / / edited by Wil M. P. van der Aalst, Vladimir Batagelj, Goran Glavaš, Dmitry I. Ignatov, Michael Khachay, Sergei O. Kuznetsov, Olessia Koltsova, Irina A. Lomazova, Natalia Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko
| Analysis of Images, Social Networks and Texts [[electronic resource] ] : 7th International Conference, AIST 2018, Moscow, Russia, July 5–7, 2018, Revised Selected Papers / / edited by Wil M. P. van der Aalst, Vladimir Batagelj, Goran Glavaš, Dmitry I. Ignatov, Michael Khachay, Sergei O. Kuznetsov, Olessia Koltsova, Irina A. Lomazova, Natalia Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XXV, 344 p. 168 illus., 74 illus. in color.) |
| Disciplina | 006.312 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Data mining
Artificial intelligence Information storage and retrieval Application software Optical data processing Data Mining and Knowledge Discovery Artificial Intelligence Information Storage and Retrieval Information Systems Applications (incl. Internet) Image Processing and Computer Vision |
| ISBN | 3-030-11027-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Opening Talk -- Social Network Analysis -- Natural Language Processing -- Analysis of Images and Video -- General Topics of Data Analysis -- Analysis of Dynamic Behavior through Event Data -- Optimization Problems on Graphs and Network Structures -- Innovative Systems. |
| Record Nr. | UNISA-996466316003316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Analysis of Images, Social Networks and Texts [[electronic resource] ] : 6th International Conference, AIST 2017, Moscow, Russia, July 27–29, 2017, Revised Selected Papers / / edited by Wil M.P. van der Aalst, Dmitry I. Ignatov, Michael Khachay, Sergei O. Kuznetsov, Victor Lempitsky, Irina A. Lomazova, Natalia Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Andrey V. Savchenko, Stanley Wasserman
| Analysis of Images, Social Networks and Texts [[electronic resource] ] : 6th International Conference, AIST 2017, Moscow, Russia, July 27–29, 2017, Revised Selected Papers / / edited by Wil M.P. van der Aalst, Dmitry I. Ignatov, Michael Khachay, Sergei O. Kuznetsov, Victor Lempitsky, Irina A. Lomazova, Natalia Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Andrey V. Savchenko, Stanley Wasserman |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XXX, 412 p. 105 illus.) |
| Disciplina | 006.3 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Data mining
Artificial intelligence Information storage and retrieval Natural language processing (Computer science) Data Mining and Knowledge Discovery Artificial Intelligence Information Storage and Retrieval Natural Language Processing (NLP) |
| ISBN | 3-319-73013-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Natural language processing -- General topics of data analysis -- Analysis of images and video -- Optimization problems on graphs and network structures -- Analysis of dynamic behavior through event data -- Social network analysis. |
| Record Nr. | UNINA-9910349263803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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