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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
|
||
| 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] ] : 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 | ||
| ||
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. | UNISA-996465500603316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Analysis of Images, Social Networks and Texts : 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 : 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 | ||
| ||
Analysis of Images, Social Networks and Texts : 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 : 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 : 5th International Conference, AIST 2016, Yekaterinburg, Russia, April 7-9, 2016, Revised Selected Papers / / edited by Dmitry I. Ignatov, Mikhail Yu. Khachay, Valeri G. Labunets, Natalia Loukachevitch, Sergey I. Nikolenko, Alexander Panchenko, Andrey V. Savchenko, Konstantin Vorontsov
| Analysis of Images, Social Networks and Texts : 5th International Conference, AIST 2016, Yekaterinburg, Russia, April 7-9, 2016, Revised Selected Papers / / edited by Dmitry I. Ignatov, Mikhail Yu. Khachay, Valeri G. Labunets, Natalia Loukachevitch, Sergey I. Nikolenko, Alexander Panchenko, Andrey V. Savchenko, Konstantin Vorontsov |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XXIV, 372 p. 105 illus.) |
| Disciplina | 004 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Data mining
Artificial intelligence Information storage and retrieval Natural language processing (Computer science) Optical data processing Data Mining and Knowledge Discovery Artificial Intelligence Information Storage and Retrieval Natural Language Processing (NLP) Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN | 3-319-52920-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Industry talks -- Machine learning and data analysis -- Social networks -- Natural language processing -- Analysis of images and video. |
| Record Nr. | UNINA-9910254839403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Analysis of Images, Social Networks and Texts : 4th International Conference, AIST 2015, Yekaterinburg, Russia, April 9–11, 2015, Revised Selected Papers / / edited by Mikhail Yu. Khachay, Natalia Konstantinova, Alexander Panchenko, Dmitry Ignatov, Valeri G. Labunets
| Analysis of Images, Social Networks and Texts : 4th International Conference, AIST 2015, Yekaterinburg, Russia, April 9–11, 2015, Revised Selected Papers / / edited by Mikhail Yu. Khachay, Natalia Konstantinova, Alexander Panchenko, Dmitry Ignatov, Valeri G. Labunets |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XVIII, 460 p. 145 illus. in color.) |
| Disciplina | 302 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Data mining
Natural language processing (Computer science) Optical data processing Information storage and retrieval Artificial intelligence Data Mining and Knowledge Discovery Natural Language Processing (NLP) Computer Imaging, Vision, Pattern Recognition and Graphics Information Storage and Retrieval Artificial Intelligence |
| ISBN | 3-319-26123-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910299258903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Analysis of Images, Social Networks and Texts : Third International Conference, AIST 2014, Yekaterinburg, Russia, April 10-12, 2014, Revised Selected Papers / / edited by Dmitry I. Ignatov, Mikhail Yu. Khachay, Alexander Panchenko, Natalia Konstantinova, Rostislav E. Yavorsky
| Analysis of Images, Social Networks and Texts : Third International Conference, AIST 2014, Yekaterinburg, Russia, April 10-12, 2014, Revised Selected Papers / / edited by Dmitry I. Ignatov, Mikhail Yu. Khachay, Alexander Panchenko, Natalia Konstantinova, Rostislav E. Yavorsky |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (XVI, 282 p. 79 illus.) |
| Disciplina | 621.367 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Data mining
Natural language processing (Computer science) Optical data processing Artificial intelligence Information storage and retrieval Data Mining and Knowledge Discovery Natural Language Processing (NLP) Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence Information Storage and Retrieval |
| ISBN | 3-319-12580-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Analysis of images and videos -- Natural language processing and computational linguistics -- Social network analysis -- Machine learning and data mining -- Recommender systems and collaborative technologies -- Semantic web, ontologies and their applications -- Analysis of socio-economic data. . |
| Record Nr. | UNINA-9910298995003321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Recent Trends in Analysis of Images, Social Networks and Texts : 11th International Conference, AIST 2023, Yerevan, Armenia, September 28-30, Revised Selected Papers
| Recent Trends in Analysis of Images, Social Networks and Texts : 11th International Conference, AIST 2023, Yerevan, Armenia, September 28-30, Revised Selected Papers |
| Autore | Ignatov Dmitry I |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2024 |
| Descrizione fisica | 1 online resource (332 pages) |
| Altri autori (Persone) |
KhachayMichael
KutuzovAndrey MadoyanHabet MakarovIlya NikishinaIrina PanchenkoAlexander PanovMaxim M. PardalosPanos SavchenkoAndrey V |
| Collana | Communications in Computer and Information Science Series |
| ISBN |
9783031670084
9783031670077 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organisation -- Abstracts of Posters -- Time Series Analysis and Complexity Theory -- Theoretical Guarantees for Neural Control Variates in MCMC -- Guaranteed Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution -- Analyzing Local Representative Power of Vision Transformers -- Towards Robust Entity Matching: Cases Studies for the Pharmaceutical Databases -- Evaluating Naturalness of the Text Using Quantitative Features -- Smaller3D: Smaller Models for 3D Semantic Segmentation Using Minkowski Engine and Knowledge Distillation Methods -- Machine Learning Pipelines Synthesis with Large Language Models -- Assessing Proficiency Levels of Russian Language Learners: Evaluation of Lexical Skills -- Genetic Variability and Disease Resistance Analysis of Grapevine from Armenia -- Raw Operational Data Visualization -- Using Physics-Informed Neural Networks to Predict Spatiotemporal Dynamical Processes Driven by Complex Ginzburg-Landau Equation -- Contents -- Natural Language Processing -- Determination of the Number of Topics Intrinsically: Is It Possible? -- 1 Introduction -- 2 Related Work -- 3 Intrinsic Quality Metrics -- 4 Methodology -- 4.1 Topic Models Studied -- 4.2 Corpora Used -- 5 Results and Discussion -- 5.1 Common Issues Encountered -- 5.2 Properties of the Studied Metrics -- 6 Conclusion -- References -- Sentence Difficulty in Three Languages: Russian Dataset Compared to Italian and English -- 1 Introduction -- 2 Related Work -- 2.1 Datasets and Models -- 3 Datasets -- 3.1 Sentence Complexity Dataset for Russian -- 3.2 Comparing Russian Data to English, Italian and Arabic -- 4 Modeling Sentence Complexity -- 4.1 Decision Trees, SVMs, and Linear Regression -- 4.2 Graph Neural Networks -- 4.3 Pre-trained Language Models -- 5 Results and Discussion -- 6 Conclusion -- References.
Machine Translation Models Stand Strong in the Face of Adversarial Attacks -- 1 Introduction -- 2 Related Work -- 3 Methods -- 3.1 General Description of a Machine Translation Model -- 3.2 Gradient Machine Translation Attack -- 3.3 BLEUER Attack -- 3.4 MBART Attack -- 3.5 Synthetic Attacks -- 4 Experiments -- 4.1 Metrics -- 4.2 Baselines -- 4.3 Attack Examples -- 4.4 Experiment Setup -- 4.5 Main Results -- 4.6 Performance with Respect to Different Metrics -- 5 Conclusion -- References -- Whether Large Language Models Learn at the Inference Stage? Effects of Active Learning and Labelling with LLMs on their Reasoning -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 4 Experiment Results -- 5 Conclusion -- 6 Future Directions -- References -- Machine Translation for Russian-Khakas Language Pair: Translation Results in Low-Resource Setting -- 1 Introduction -- 2 Related Work -- 3 Data -- 3.1 Choosing the Language for Parent Model -- 3.2 Data for Child Model -- 4 Methods -- 5 Experiments -- 6 Results -- 6.1 Metrics -- 6.2 Case and Error Analysis -- 7 Conclusion and Future Work -- References -- Automatic Aspect Extraction from Scientific Texts -- 1 Introduction -- 2 Related Work -- 2.1 Background -- 2.2 Datasets -- 2.3 Methods -- 3 Dataset Creation -- 4 Automatic Aspect Extraction -- 4.1 Model -- 5 Experiments and Results -- 5.1 Evaluation Method -- 5.2 Experiments with Models -- 5.3 Cross Domain Experiments -- 5.4 Analysis of Automatic Annotation -- 6 Discussion -- 7 Conclusion -- References -- User Review Summarization in Russian -- 1 Introduction -- 2 Related Works -- 3 Data -- 4 Methodology -- 4.1 Abstractive Methods -- 4.2 Extractive Methods -- 5 Experiments -- 5.1 Metrics -- 5.2 Data Preprocessing -- 5.3 Seed Words Extraction -- 5.4 Review Summarization -- 5.5 Manual Analysis -- 6 Conclusion -- References. Tuning-Free Discriminative Nearest Neighbor Few-Shot Intent Detection via Consecutive Knowledge Transfer -- 1 Introduction -- 2 Background -- 2.1 OOS Detection -- 3 Proposed Method -- 3.1 Pre-training -- 3.2 Paraphrases Augmentation -- 4 Experimental Settings -- 4.1 Evaluation Datasets -- 4.2 Evaluation Metrics -- 4.3 Model Configurations -- 5 Experimental Results -- 5.1 Pre-training Results -- 5.2 Comparison with Existing Solutions -- 6 Conclusion -- A Appendix -- References -- Prompt-Tuning for Targeted Sentiment Analysis in Russian -- 1 Introduction -- 2 Related Work -- 3 Methods -- 4 Dataset -- 4.1 Dataset for the RuSentNE-2023 Competition -- 4.2 Evaluation Metrics -- 5 Experiments -- 5.1 Implementation Details -- 5.2 Manual Prompts -- 5.3 Prompt-Tuning with Mixed Template -- 5.4 Prompt-Tuning with Rules -- 5.5 Knowledgeable Verbalizer -- 6 Results and Discussion -- 6.1 Cross-validation -- 6.2 RuSentNE-2023 Post-evaluation -- 7 Conclusion -- References -- On the Way to Controllable Text Summarization in Russian -- 1 Introduction -- 2 Related Work -- 2.1 Extractive Summarization -- 2.2 Abstractive Summarization -- 2.3 Summarization in Russian -- 3 HydraSum Method -- 4 Experimental Setup -- 4.1 Models -- 4.2 Data -- 4.3 Metrics -- 5 Results -- 6 Conclusion -- References -- Document-Level Relation Extraction in Russian -- 1 Introduction -- 2 Related Work -- 3 Dataset -- 4 Approaches -- 4.1 BiLSTM and Context-Aware LSTM -- 4.2 DocuNET -- 4.3 DREEAM -- 5 Experiments -- 5.1 Data Processing -- 5.2 DREEAM and DocuNET Model -- 6 Conclusion -- References -- The Battle of Information Representations: Comparing Sentiment and Semantic Features for Forecasting Market Trends -- 1 Introduction -- 2 Contribution -- 3 Related Work -- 4 Methods -- 4.1 Data Preparation -- 4.2 Predictive Model Parameters -- 4.3 Loss Function -- 5 Results -- 5.1 Daily Return Analysis. 5.2 Relation Between Tweet Sentiments and Stock Market -- 5.3 Connection of Sentiments and Embeddings -- 5.4 Price Prediction Results and Sensitivity Analysis -- 6 Conclusions -- 7 Statement on Computational Resources and Environmental Impact -- References -- Computer Vision -- Interactive Image Segmentation with Superpixel Propagation -- 1 Introduction -- 2 Interactive Segmentation Method -- 2.1 Overview of the Method -- 2.2 Fast Dashing Method and Arrival Time Redistribution -- 3 Experiments and Results -- 3.1 Datasets -- 3.2 Quantitative and Qualitative Comparison -- 3.3 Comparison with Naive Approach -- 4 Conclusions -- 4.1 Limitations -- References -- Gesture Recognition on Video Data -- 1 Introduction -- 2 Related Work -- 2.1 Datasets -- 2.2 Current SOTA Methods -- 3 Experiments and Results -- 3.1 Hand Keypoints Approaches -- 3.2 Image-Based Approaches -- 4 Proposed Approach -- 4.1 Training -- 4.2 Inference -- 5 Conclusion -- 5.1 Future Work -- References -- Semantic-Aware GAN Manipulations for Human Face Editing -- 1 Introduction -- 2 Related Work -- 3 Methods -- 3.1 Comparable Methods -- 3.2 Latent Space Manipulation Improvements -- 3.3 Experiment Settings -- 4 Results -- 4.1 Manipulations in GAN Latent Space -- 4.2 Manipulations with Real Images -- 4.3 Improving Quality Manipulation with Translation in Extended Latent Space -- 5 Conclusion -- References -- Learning Facial Expression Recognition In-the-Wild from Synthetic Data Based on an Ensemble of Lightweight Neural Networks -- 1 Introduction -- 2 Research Methods -- 2.1 Dataset -- 2.2 Data Preprocessing -- 2.3 Ensemble Approach for Facial Expressions Recognition -- 2.4 End-to-End Video Analytics Application -- 3 Experimental Results -- 4 Conclusion -- References -- Acne Recognition: Training Models with Experts -- 1 Introduction -- 2 Related Work -- 3 Data and Problem Statement. 4 Experiments and Results -- 5 Conclusion and Future Work -- References -- Data Analysis and Machine Learning -- Application of Multimodal Machine Learning for Image Recommendation Systems -- 1 Introduction -- 1.1 Recommender System -- 1.2 Multimodality -- 2 Related Work -- 3 Model -- 3.1 Dataset Preparation -- 3.2 Model -- 4 Experiment Settings -- 4.1 Experimental Datasets -- 4.2 Experiments with Yandex Dataset -- 4.3 Experiments with Flickr Image Dataset -- 5 Results -- 6 Conclusion -- References -- Date-Driven Approach for Identifying State of Hemodialysis Fistulas: Entropy-Complexity and Formal Concept Analysis -- 1 Introduction -- 2 Related Works -- 3 Materials and Methods -- 4 Results -- 5 Conclusions and Future Directions -- References -- Network Analysis -- Approximate Density Computation for OA-Biclustering -- 1 Introduction -- 2 Basic Notions for Two-Mode Network Analysis -- 2.1 Basic Definition of FCA -- 2.2 Basic Definition of Bicluster and Its Properties -- 3 Search Algorithm for Biclusters, Complexity Assessment of Algorithm -- 4 Approximate Density Estimation for the Large Biclusters -- 5 Search for the Optimal Set of Biclusters in the Context Coverage Problem -- 5.1 A Greedy Approach to Cover a Context -- 6 Experiments -- 6.1 Description of Data -- 6.2 Approximation of Formal Concepts by Biclusters -- 6.3 Approximate Density Estimation -- 6.4 Genome Association Study -- 6.5 Community Detection Cases -- 7 Conclusion -- References -- Theoretical Machine Learning and Optimization -- Distributed Bayesian Coresets -- 1 Introduction -- 2 Background -- 2.1 Bayesian Coresets -- 2.2 Sensitivity -- 2.3 Related Work -- 3 Distributed Setting -- 4 Experiments -- 4.1 Multivariate Gaussian -- 4.2 Gaussian Mixture -- 4.3 Classification -- 4.4 Number of Processors -- 5 Conclusion -- References -- Demo Paper. Development of a Visualization Tool for the Occurrence of Life Events on the Demographic Lexis Grid. |
| Record Nr. | UNINA-9910878069703321 |
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Ignatov Dmitry I
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| Cham : , : Springer International Publishing AG, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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