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Advances in computational intelligence : 15th Mexican international conference on artificial intelligence, MICAI 2016, Cancún, Mexico, October 23-28, 2016, proceedings, part I / / edited by Ildar Batyrshin, Alexander Gelbukh, and Grigori Sidorov
Advances in computational intelligence : 15th Mexican international conference on artificial intelligence, MICAI 2016, Cancún, Mexico, October 23-28, 2016, proceedings, part I / / edited by Ildar Batyrshin, Alexander Gelbukh, and Grigori Sidorov
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (433 pages)
Disciplina 006.3
Collana Lecture Notes in Computer Science
Soggetto topico Computers
Artificial intelligence
Optical data processing
ISBN 3-030-89817-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Conference Organization -- Contents - Part I -- Contents - Part II -- Machine and Deep Learning -- Identifying Optimal Clusters in Purchase Transaction Data -- 1 Introduction -- 2 Clustering Taxonomies -- 3 Cluster Validity Indices -- 4 Data Complexity Measures -- 5 Data Sets and Experimental Methodology -- 6 Results and Discussions -- 7 Conclusions -- A Appendix -- References -- Artificial Organic Networks Approach Applied to the Index Tracking Problem -- 1 Introduction -- 1.1 Objectives and Limitations -- 2 The Proposed Approach -- 2.1 AON Properties -- 2.2 Artificial Hydrocarbon Networks Algorithm -- 3 Implementation Considerations -- 3.1 System Identification -- 3.2 Target Function Mathematical Formulation -- 3.3 Financial Analysis and Strategy -- 4 Preliminary Results -- 4.1 Experiment 1: Establishing a Regression -- 4.2 Experiment 2: Comparing MNLR Performance Vs. Other ML Techniques. -- 4.3 Experiment Three: Buy-and-Hold Strategy -- 4.4 Experiment 4: A Hybrid K-Means with AHN Algorithm -- 5 Conclusions and Future Work -- References -- Supervised Learning Approach for Section Title Detection in PDF Scientific Articles -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Dataset Creation -- 3.2 Classifiers Training and Testing -- 4 Results -- 5 Conclusion -- References -- Real-Time Mexican Sign Language Interpretation Using CNN and HMM -- 1 Introduction -- 2 Related Work -- 2.1 Methods -- 2.2 Techniques -- 2.3 Works About MSL in Mexico -- 3 Proposal -- 4 Dataset -- 4.1 Description -- 4.2 Participants -- 4.3 Data Acquisition -- 4.4 Dataset Standardization -- 5 Experiments and Results -- 5.1 Training -- 5.2 Results Experiment 1: Focus on Isolated Words -- 5.3 Results Experiment 2: Focus on Sentences -- 6 Conclusions -- References -- RiskIPN: Pavement Risk Database for Segmentation with Deep Learning.
1 Introduction -- 2 Databases -- 2.1 Previous Datasets -- 2.2 RisksIPN -- 3 Segmentation Deep Model -- 4 Experiments and Results -- 4.1 Preprocessing -- 4.2 Training -- 5 Conclusion -- References -- A Comparative Study on Approaches to Acoustic Scene Classification Using CNNs -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data Organization and Collection -- 3.2 Data Augmentation -- 3.3 Feature Representations -- 3.4 Development of CNNs -- 4 Results and Evaluation -- 5 Conclusion -- References -- Measuring the Effect of Categorical Encoders in Machine Learning Tasks Using Synthetic Data -- 1 Introduction -- 2 General Methodology -- 2.1 Real-World Datasets -- 2.2 Synthetic Datasets -- 3 Experimental Results -- 3.1 Real-World Dataset -- 3.2 Synthetic-Datasets -- 4 Conclusions -- Appendix -- References -- Long-Term Exploration in Persistent MDPs -- 1 Introduction -- 2 Related Work -- 3 Background -- 3.1 Markov Decision Processes -- 3.2 Persistent MDPs -- 4 Exploration via State Space Clustering -- 4.1 Similarity Model -- 4.2 Graph of Clusters -- 5 The Prince of Persia Domain -- 6 Experiments -- 6.1 Experimental Setup -- 6.2 Exploring the Prince of Persia Environment -- 6.3 Ablation Study -- 7 Conclusion -- References -- Source Task Selection in Time Series via Performance Prediction -- 1 Introduction -- 2 Transfer Learning -- 3 Related Work -- 4 Performance Prediction for Source Task Selection -- 4.1 Feature Extraction -- 4.2 Regression Model -- 5 Experimental Results -- 6 Conclusions and Future Work -- References -- Finding Significant Features for Few-Shot Learning Using Dimensionality Reduction -- 1 Introduction -- 2 Materials and Methods -- 2.1 Meta-learning Tasks -- 2.2 MiniImageNet Dataset -- 3 Proposed Model -- 3.1 Feature Reduction Techniques -- 3.2 Inter and Intra Class Nearest Neighbors Score (ICNN Score) -- 4 Experiments.
4.1 Implementation Details -- 4.2 Model Design Choices -- 4.3 Comparison with Baselines -- 5 Conclusion -- References -- Seasonality Atlas of Solar Radiation in Mexico -- 1 Introduction -- 1.1 Related Work -- 2 Mexico's Solar Radiation -- 3 Methodology -- 3.1 Designing the Atlas -- 3.2 Cluster Analysis -- 3.3 Algorithms -- 3.4 Validation of the Results -- 4 Results -- 4.1 1-Dimensional Cluster Analysis -- 4.2 2-Dimensional Cluster Analysis -- 5 Discussion -- 6 Conclusions -- References -- Best Paper Award, Third Place -- Comparing Machine Learning Based Segmentation Models on Jet Fire Radiation Zones -- 1 Introduction -- 2 State of the Art -- 2.1 Deep Learning Architectures -- 2.2 Traditional Computer Vision Methods -- 3 Proposed Approach -- 4 Data Set -- 4.1 Image Processing -- 5 Metrics and Loss Functions -- 5.1 Metrics -- 5.2 Loss Functions -- 6 Training -- 7 Testing -- 8 Results and Discussion -- 8.1 Selected Metrics -- 8.2 Best Loss Function -- 8.3 Traditional and Deep Learning Segmentation -- 8.4 Discussion -- 9 Conclusions -- References -- A Machine Learning Approach for Modeling Safety Stock Optimization Equation in the Cosmetics and Beauty Industry -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Machine Learning Workflow -- 5 Results and Discussion -- 6 Conclusions -- References -- DBSCAN Parameter Selection Based on K-NN -- 1 Introduction -- 2 Related Work -- 3 DBSCAN Parameter Selection Based on K-Distance -- 4 Experiments -- 4.1 Parameter Selection DBSCAN -- 4.2 ACND -- 4.3 Clustering -- 4.4 Border Definition -- 5 Conclusion -- References -- Deep Learning Architectures Applied to Mosquito Count Regressions in US Datasets -- 1 Introduction -- 2 Methods -- 2.1 Multi-Layer Perceptron (MLP) -- 2.2 Approach 2 (MLP + Weather Data) -- 2.3 Approach 3: CNN -- 2.4 Approach 4: Hybrid Model (CNN + MLP) -- 2.5 Approach 5: Sentinel CNN + MLP.
2.6 Approach 6: VAE + MLP -- 2.7 Approach 7: Recurrent Neural Network (LSTM) -- 3 Analysis and Conclusions -- References -- Causal Based Action Selection Policy for Reinforcement Learning -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Assumptions and Limitations -- 3.2 Action Selection -- 4 Experimental Set Up -- 4.1 Environment -- 4.2 Implementation and Compared Approaches -- 4.3 Evaluation Metric and Exploration Rate Decay -- 5 Results -- 5.1 Modifying the Causal Graph -- 5.2 Exploit or Keep Exploring -- 5.3 Using Visual Observations of the Environment -- 6 Conclusions -- References -- Performance Evaluation of Artificial Neural Networks Applied in the Classification of Emotions -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 Data Acquisition -- 3.2 Preprocessing -- 3.3 Artificial Neural Networks -- 3.4 Experimental Settings -- 4 Results and Discussion -- 5 Conclusion and Future Directions -- References -- Machine Learning Algorithms Based on the Classification of Motor Imagination Signals Acquired with an Electroencephalogram -- 1 Introduction -- 2 Background -- 2.1 CNN -- 2.2 LSTM -- 2.3 GRU -- 2.4 Bidirectional RNN -- 2.5 DT -- 2.6 Random Forest -- 2.7 MLP -- 2.8 Gaussian Naïve Bayes -- 2.9 SVM -- 2.10 LDA and Logistic Regression -- 2.11 AdaBoost -- 2.12 KNN -- 3 Methodology -- 4 Results -- 5 Conclusions -- References -- Image Processing and Pattern Recognition -- Touchless Fingerphoto Extraction Based on Deep Learning and Image Processing Algorithms -- A Preview -- 1 Introduction -- 2 Related Work -- 2.1 Image Acquisition -- 2.2 Background Removal -- 2.3 Fingerprint Enhancement -- 3 Methods and Materials -- 3.1 Fingerphoto Acquisition -- 3.2 Background Removal -- 3.3 Fingerphoto Segmentation and Enhancement -- 3.4 Equivalent Touch-Based Image -- 3.5 NIST Fingerprint Image Quality.
4 Experiments and Results -- 4.1 Fingerphoto Dataset -- 4.2 U-Net for Background Removal -- 4.3 Fingerphoto Extraction -- 5 Conclusions and Feature Work -- References -- Real Time Distraction Detection by Facial Attributes Recognition -- 1 Introduction -- 1.1 Previous Work -- 2 Method and Data -- 2.1 Image Acquisition -- 2.2 Face Detection -- 2.3 Facial Attributes Recognition -- 2.4 Classification -- 3 Results -- 3.1 Classic Evaluation -- 3.2 5-Fold Cross Validation Evaluation -- 3.3 Real Time Environment Evaluation -- 4 Discussion -- 4.1 Future Work -- 5 Conclusions -- References -- Urban Perception: Can We Understand Why a Street Is Safe? -- 1 Introduction -- 2 Related Works -- 2.1 Urban Perception -- 2.2 Model Interpretation -- 3 Methodology -- 3.1 Datasets and Data Pre-processing -- 3.2 Visual Components Extraction -- 4 Experiments and Discussions -- 5 Conclusions -- References -- Continual Learning for Multi-camera Relocalisation -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Dataset Generation -- 3.2 Continual Learning -- 4 Experiments and Results -- 5 Conclusion -- References -- Facing a Pandemic: A COVID-19 Time Series Analysis of Vaccine Impact -- 1 Introduction -- 2 Related Work -- 2.1 COVID-19 World Vaccination Progress with Tableau -- 2.2 COVID-19: Can We Predict the Future? -- 2.3 COVID-19 EDA: Man Vs. Disease -- 2.4 Remarks -- 3 Methodology -- 3.1 Data Understanding -- 3.2 Data Preparation -- 3.3 Modeling -- 4 Results -- 4.1 Model Evaluation -- 4.2 Deployment -- 5 Conclusion -- References -- COVID-19 on the Time, Countries Deaths Monitoring and Comparison Dealing with the Pandemic -- 1 Introduction -- 2 Focus on Deaths Instead of Reported Infections -- 3 Methods -- 3.1 Moving Average -- 3.2 Plateau -- 3.3 Maximum Value -- 3.4 Economics Information Per Country -- 4 Results -- 5 Conclusions and Future Work -- 6 Related Work.
References.
Record Nr. UNISA-996464395303316
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advances in computational intelligence : 15th Mexican international conference on artificial intelligence, MICAI 2016, Cancún, Mexico, October 23-28, 2016, proceedings, part I / / edited by Ildar Batyrshin, Alexander Gelbukh, and Grigori Sidorov
Advances in computational intelligence : 15th Mexican international conference on artificial intelligence, MICAI 2016, Cancún, Mexico, October 23-28, 2016, proceedings, part I / / edited by Ildar Batyrshin, Alexander Gelbukh, and Grigori Sidorov
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (433 pages)
Disciplina 006.3
Collana Lecture Notes in Computer Science
Soggetto topico Computers
Artificial intelligence
Optical data processing
ISBN 3-030-89817-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Conference Organization -- Contents - Part I -- Contents - Part II -- Machine and Deep Learning -- Identifying Optimal Clusters in Purchase Transaction Data -- 1 Introduction -- 2 Clustering Taxonomies -- 3 Cluster Validity Indices -- 4 Data Complexity Measures -- 5 Data Sets and Experimental Methodology -- 6 Results and Discussions -- 7 Conclusions -- A Appendix -- References -- Artificial Organic Networks Approach Applied to the Index Tracking Problem -- 1 Introduction -- 1.1 Objectives and Limitations -- 2 The Proposed Approach -- 2.1 AON Properties -- 2.2 Artificial Hydrocarbon Networks Algorithm -- 3 Implementation Considerations -- 3.1 System Identification -- 3.2 Target Function Mathematical Formulation -- 3.3 Financial Analysis and Strategy -- 4 Preliminary Results -- 4.1 Experiment 1: Establishing a Regression -- 4.2 Experiment 2: Comparing MNLR Performance Vs. Other ML Techniques. -- 4.3 Experiment Three: Buy-and-Hold Strategy -- 4.4 Experiment 4: A Hybrid K-Means with AHN Algorithm -- 5 Conclusions and Future Work -- References -- Supervised Learning Approach for Section Title Detection in PDF Scientific Articles -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Dataset Creation -- 3.2 Classifiers Training and Testing -- 4 Results -- 5 Conclusion -- References -- Real-Time Mexican Sign Language Interpretation Using CNN and HMM -- 1 Introduction -- 2 Related Work -- 2.1 Methods -- 2.2 Techniques -- 2.3 Works About MSL in Mexico -- 3 Proposal -- 4 Dataset -- 4.1 Description -- 4.2 Participants -- 4.3 Data Acquisition -- 4.4 Dataset Standardization -- 5 Experiments and Results -- 5.1 Training -- 5.2 Results Experiment 1: Focus on Isolated Words -- 5.3 Results Experiment 2: Focus on Sentences -- 6 Conclusions -- References -- RiskIPN: Pavement Risk Database for Segmentation with Deep Learning.
1 Introduction -- 2 Databases -- 2.1 Previous Datasets -- 2.2 RisksIPN -- 3 Segmentation Deep Model -- 4 Experiments and Results -- 4.1 Preprocessing -- 4.2 Training -- 5 Conclusion -- References -- A Comparative Study on Approaches to Acoustic Scene Classification Using CNNs -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data Organization and Collection -- 3.2 Data Augmentation -- 3.3 Feature Representations -- 3.4 Development of CNNs -- 4 Results and Evaluation -- 5 Conclusion -- References -- Measuring the Effect of Categorical Encoders in Machine Learning Tasks Using Synthetic Data -- 1 Introduction -- 2 General Methodology -- 2.1 Real-World Datasets -- 2.2 Synthetic Datasets -- 3 Experimental Results -- 3.1 Real-World Dataset -- 3.2 Synthetic-Datasets -- 4 Conclusions -- Appendix -- References -- Long-Term Exploration in Persistent MDPs -- 1 Introduction -- 2 Related Work -- 3 Background -- 3.1 Markov Decision Processes -- 3.2 Persistent MDPs -- 4 Exploration via State Space Clustering -- 4.1 Similarity Model -- 4.2 Graph of Clusters -- 5 The Prince of Persia Domain -- 6 Experiments -- 6.1 Experimental Setup -- 6.2 Exploring the Prince of Persia Environment -- 6.3 Ablation Study -- 7 Conclusion -- References -- Source Task Selection in Time Series via Performance Prediction -- 1 Introduction -- 2 Transfer Learning -- 3 Related Work -- 4 Performance Prediction for Source Task Selection -- 4.1 Feature Extraction -- 4.2 Regression Model -- 5 Experimental Results -- 6 Conclusions and Future Work -- References -- Finding Significant Features for Few-Shot Learning Using Dimensionality Reduction -- 1 Introduction -- 2 Materials and Methods -- 2.1 Meta-learning Tasks -- 2.2 MiniImageNet Dataset -- 3 Proposed Model -- 3.1 Feature Reduction Techniques -- 3.2 Inter and Intra Class Nearest Neighbors Score (ICNN Score) -- 4 Experiments.
4.1 Implementation Details -- 4.2 Model Design Choices -- 4.3 Comparison with Baselines -- 5 Conclusion -- References -- Seasonality Atlas of Solar Radiation in Mexico -- 1 Introduction -- 1.1 Related Work -- 2 Mexico's Solar Radiation -- 3 Methodology -- 3.1 Designing the Atlas -- 3.2 Cluster Analysis -- 3.3 Algorithms -- 3.4 Validation of the Results -- 4 Results -- 4.1 1-Dimensional Cluster Analysis -- 4.2 2-Dimensional Cluster Analysis -- 5 Discussion -- 6 Conclusions -- References -- Best Paper Award, Third Place -- Comparing Machine Learning Based Segmentation Models on Jet Fire Radiation Zones -- 1 Introduction -- 2 State of the Art -- 2.1 Deep Learning Architectures -- 2.2 Traditional Computer Vision Methods -- 3 Proposed Approach -- 4 Data Set -- 4.1 Image Processing -- 5 Metrics and Loss Functions -- 5.1 Metrics -- 5.2 Loss Functions -- 6 Training -- 7 Testing -- 8 Results and Discussion -- 8.1 Selected Metrics -- 8.2 Best Loss Function -- 8.3 Traditional and Deep Learning Segmentation -- 8.4 Discussion -- 9 Conclusions -- References -- A Machine Learning Approach for Modeling Safety Stock Optimization Equation in the Cosmetics and Beauty Industry -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Machine Learning Workflow -- 5 Results and Discussion -- 6 Conclusions -- References -- DBSCAN Parameter Selection Based on K-NN -- 1 Introduction -- 2 Related Work -- 3 DBSCAN Parameter Selection Based on K-Distance -- 4 Experiments -- 4.1 Parameter Selection DBSCAN -- 4.2 ACND -- 4.3 Clustering -- 4.4 Border Definition -- 5 Conclusion -- References -- Deep Learning Architectures Applied to Mosquito Count Regressions in US Datasets -- 1 Introduction -- 2 Methods -- 2.1 Multi-Layer Perceptron (MLP) -- 2.2 Approach 2 (MLP + Weather Data) -- 2.3 Approach 3: CNN -- 2.4 Approach 4: Hybrid Model (CNN + MLP) -- 2.5 Approach 5: Sentinel CNN + MLP.
2.6 Approach 6: VAE + MLP -- 2.7 Approach 7: Recurrent Neural Network (LSTM) -- 3 Analysis and Conclusions -- References -- Causal Based Action Selection Policy for Reinforcement Learning -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Assumptions and Limitations -- 3.2 Action Selection -- 4 Experimental Set Up -- 4.1 Environment -- 4.2 Implementation and Compared Approaches -- 4.3 Evaluation Metric and Exploration Rate Decay -- 5 Results -- 5.1 Modifying the Causal Graph -- 5.2 Exploit or Keep Exploring -- 5.3 Using Visual Observations of the Environment -- 6 Conclusions -- References -- Performance Evaluation of Artificial Neural Networks Applied in the Classification of Emotions -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 Data Acquisition -- 3.2 Preprocessing -- 3.3 Artificial Neural Networks -- 3.4 Experimental Settings -- 4 Results and Discussion -- 5 Conclusion and Future Directions -- References -- Machine Learning Algorithms Based on the Classification of Motor Imagination Signals Acquired with an Electroencephalogram -- 1 Introduction -- 2 Background -- 2.1 CNN -- 2.2 LSTM -- 2.3 GRU -- 2.4 Bidirectional RNN -- 2.5 DT -- 2.6 Random Forest -- 2.7 MLP -- 2.8 Gaussian Naïve Bayes -- 2.9 SVM -- 2.10 LDA and Logistic Regression -- 2.11 AdaBoost -- 2.12 KNN -- 3 Methodology -- 4 Results -- 5 Conclusions -- References -- Image Processing and Pattern Recognition -- Touchless Fingerphoto Extraction Based on Deep Learning and Image Processing Algorithms -- A Preview -- 1 Introduction -- 2 Related Work -- 2.1 Image Acquisition -- 2.2 Background Removal -- 2.3 Fingerprint Enhancement -- 3 Methods and Materials -- 3.1 Fingerphoto Acquisition -- 3.2 Background Removal -- 3.3 Fingerphoto Segmentation and Enhancement -- 3.4 Equivalent Touch-Based Image -- 3.5 NIST Fingerprint Image Quality.
4 Experiments and Results -- 4.1 Fingerphoto Dataset -- 4.2 U-Net for Background Removal -- 4.3 Fingerphoto Extraction -- 5 Conclusions and Feature Work -- References -- Real Time Distraction Detection by Facial Attributes Recognition -- 1 Introduction -- 1.1 Previous Work -- 2 Method and Data -- 2.1 Image Acquisition -- 2.2 Face Detection -- 2.3 Facial Attributes Recognition -- 2.4 Classification -- 3 Results -- 3.1 Classic Evaluation -- 3.2 5-Fold Cross Validation Evaluation -- 3.3 Real Time Environment Evaluation -- 4 Discussion -- 4.1 Future Work -- 5 Conclusions -- References -- Urban Perception: Can We Understand Why a Street Is Safe? -- 1 Introduction -- 2 Related Works -- 2.1 Urban Perception -- 2.2 Model Interpretation -- 3 Methodology -- 3.1 Datasets and Data Pre-processing -- 3.2 Visual Components Extraction -- 4 Experiments and Discussions -- 5 Conclusions -- References -- Continual Learning for Multi-camera Relocalisation -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Dataset Generation -- 3.2 Continual Learning -- 4 Experiments and Results -- 5 Conclusion -- References -- Facing a Pandemic: A COVID-19 Time Series Analysis of Vaccine Impact -- 1 Introduction -- 2 Related Work -- 2.1 COVID-19 World Vaccination Progress with Tableau -- 2.2 COVID-19: Can We Predict the Future? -- 2.3 COVID-19 EDA: Man Vs. Disease -- 2.4 Remarks -- 3 Methodology -- 3.1 Data Understanding -- 3.2 Data Preparation -- 3.3 Modeling -- 4 Results -- 4.1 Model Evaluation -- 4.2 Deployment -- 5 Conclusion -- References -- COVID-19 on the Time, Countries Deaths Monitoring and Comparison Dealing with the Pandemic -- 1 Introduction -- 2 Focus on Deaths Instead of Reported Infections -- 3 Methods -- 3.1 Moving Average -- 3.2 Plateau -- 3.3 Maximum Value -- 3.4 Economics Information Per Country -- 4 Results -- 5 Conclusions and Future Work -- 6 Related Work.
References.
Record Nr. UNINA-9910506398403321
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
CIC 2006 : 15th International Conference on Computing : proceedings : 21-24 November, 2006, Mexico City, Mexico
CIC 2006 : 15th International Conference on Computing : proceedings : 21-24 November, 2006, Mexico City, Mexico
Pubbl/distr/stampa [Place of publication not identified], : IEEE Computer Society Press, 2006
Disciplina 006.3
Soggetto topico Artificial intelligence
Machine learning
Software engineering
Engineering & Applied Sciences
Computer Science
ISBN 1-5090-9431-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996198857603316
[Place of publication not identified], : IEEE Computer Society Press, 2006
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
CIC 2006 : 15th International Conference on Computing : proceedings : 21-24 November, 2006, Mexico City, Mexico
CIC 2006 : 15th International Conference on Computing : proceedings : 21-24 November, 2006, Mexico City, Mexico
Pubbl/distr/stampa [Place of publication not identified], : IEEE Computer Society Press, 2006
Disciplina 006.3
Soggetto topico Artificial intelligence
Machine learning
Software engineering
Engineering & Applied Sciences
Computer Science
ISBN 9781509094318
1509094318
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910142678303321
[Place of publication not identified], : IEEE Computer Society Press, 2006
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computational Linguistics and Intelligent Text Processing [[electronic resource] ] : 8th International Conference, CICLing 2007, Mexico City, Mexico, February 18-24, 2007, Proceedings / / edited by Alexander Gelbukh
Computational Linguistics and Intelligent Text Processing [[electronic resource] ] : 8th International Conference, CICLing 2007, Mexico City, Mexico, February 18-24, 2007, Proceedings / / edited by Alexander Gelbukh
Autore Gelbukh Alexander <1962->
Edizione [1st ed. 2007.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2007
Descrizione fisica 1 online resource (XVI, 648 p.)
Disciplina 005
Altri autori (Persone) GelbukhAlexander <1962->
Collana Theoretical Computer Science and General Issues
Soggetto topico Information storage and retrieval systems
Artificial intelligence
Natural language processing (Computer science)
Machine theory
Information Storage and Retrieval
Artificial Intelligence
Natural Language Processing (NLP)
Formal Languages and Automata Theory
ISBN 1-280-86508-3
9786610865086
3-540-70939-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Computational Linguistics Research -- Integration of Linguistic Resources for Verb Classification: FrameNet Frame, WordNet Verb and Suggested Upper Merged Ontology -- French EuroWordNet Lexical Database Improvements -- Building a Large-Scale Commonsense Knowledge Base by Converting an Existing One in a Different Language -- Conquering Language: Using NLP on a Massive Scale to Build High Dimensional Language Models from the Web -- On Heads and Coordination in Valence Acquisition -- Chinese Terminology Extraction Using Window-Based Contextual Information -- Baby-Steps Towards Building a Spanglish Language Model -- Latent Variable Models for Causal Knowledge Acquisition -- Finite-State Technology as a Programming Environment -- Morphological Disambiguation of Turkish Text with Perceptron Algorithm -- Part-of-Speech Tagging Using Word Probability Based on Category Patterns -- Handling Conjunctions in Named Entities -- ANERsys: An Arabic Named Entity Recognition System Based on Maximum Entropy -- Applying Machine Learning to Chinese Entity Detection and Tracking -- Evaluation of an Automatic Extension of Temporal Expression Treatment to Catalan -- A Generalized Approach to Word Segmentation Using Maximum Length Descending Frequency and Entropy Rate -- Tagging Sentence Boundaries in Biomedical Literature -- Probabilistic Classifications with TBL -- The Non-associativity of Polarized Tree-Based Grammars -- Dependency Analysis of Clauses Using Parse Tree Kernels -- Unsupervised Method for Parsing Coordinated Base Noun Phrases -- Text Categorization for Improved Priors of Word Meaning -- Case-Sensitivity of Classifiers for WSD: Complex Systems Disambiguate Tough Words Better -- Word Clustering for Collocation-Based Word Sense Disambiguation -- Lexical Constellations and the Structure of Meaning: A Prototype Application to WSD -- Rule-Based Protein Term Identification with Help from Automatic Species Tagging -- Unsupervised Discrimination of Person Names in Web Contexts -- Learning for Semantic Parsing -- The Usefulness of Conceptual Representation for the Identification of Semantic Variability Expressions -- Characterizing Humour: An Exploration of Features in Humorous Texts -- Representing Emotions with Linguistic Acuity -- Intelligent Text Processing Applications -- An Evaluation of UNL Usability for High Quality Multilingualization and Projections for a Future UNL++ Language -- Transfer-Based MT from Spanish into Basque: Reusability, Standardization and Open Source -- Dependency-Based Chinese-English Statistical Machine Translation -- Asymmetric Hybrid Machine Translation for Languages with Scarce Resources -- CL-Guided Korean-English MT System for Scientific Papers -- Comparing and Integrating Alignment Template and Standard Phrase-Based Statistical Machine Translation -- Dependency Analysis and CBR to Bridge the Generation Gap in Template-Based NLG -- Experiments on Generating Questions About Facts -- Expert vs. Non-expert Tutoring: Dialogue Moves, Interaction Patterns and Multi-utterance Turns -- A Competitive Term Selection Method for Information Retrieval -- Incorporating Passage Feature Within Language Model Framework for Information Retrieval -- Enhancing Cross-Language Question Answering by Combining Multiple Question Translations -- The Negative Effect of Machine Translation on Cross–Lingual Question Answering -- Using Clustering Approaches to Open-Domain Question Answering -- A Little Known Fact Is ... Answering Other Questions Using Interest-Markers -- Adapting the JIRS Passage Retrieval System to the Arabic Language -- Using Question-Answer Pairs in Extractive Summarization of Email Conversations -- NEO-CORTEX: A Performant User-Oriented Multi-Document Summarization System -- Event-Based Summarization Using Time Features -- NLP-Based Curation of Bacterial Regulatory Networks -- Exploiting Category Information and Document Information to Improve Term Weighting for Text Categorization -- On the Impact of Lexical and Linguistic Features in Genre- and Domain-Based Categorization -- Clustering Narrow-Domain Short Texts by Using the Kullback-Leibler Distance -- A Mixed Trigrams Approach for Context Sensitive Spell Checking -- Combining Methods for Detecting and Correcting Semantic Hidden Errors in Arabic Texts.
Record Nr. UNISA-996465859003316
Gelbukh Alexander <1962->  
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2007
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Computational Linguistics and Intelligent Text Processing : 8th International Conference, CICLing 2007, Mexico City, Mexico, February 18-24, 2007, Proceedings / / edited by Alexander Gelbukh
Computational Linguistics and Intelligent Text Processing : 8th International Conference, CICLing 2007, Mexico City, Mexico, February 18-24, 2007, Proceedings / / edited by Alexander Gelbukh
Autore Gelbukh Alexander <1962->
Edizione [1st ed. 2007.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2007
Descrizione fisica 1 online resource (XVI, 648 p.)
Disciplina 005
Altri autori (Persone) GelbukhAlexander <1962->
Collana Theoretical Computer Science and General Issues
Soggetto topico Information storage and retrieval systems
Artificial intelligence
Natural language processing (Computer science)
Machine theory
Information Storage and Retrieval
Artificial Intelligence
Natural Language Processing (NLP)
Formal Languages and Automata Theory
ISBN 1-280-86508-3
9786610865086
3-540-70939-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Computational Linguistics Research -- Integration of Linguistic Resources for Verb Classification: FrameNet Frame, WordNet Verb and Suggested Upper Merged Ontology -- French EuroWordNet Lexical Database Improvements -- Building a Large-Scale Commonsense Knowledge Base by Converting an Existing One in a Different Language -- Conquering Language: Using NLP on a Massive Scale to Build High Dimensional Language Models from the Web -- On Heads and Coordination in Valence Acquisition -- Chinese Terminology Extraction Using Window-Based Contextual Information -- Baby-Steps Towards Building a Spanglish Language Model -- Latent Variable Models for Causal Knowledge Acquisition -- Finite-State Technology as a Programming Environment -- Morphological Disambiguation of Turkish Text with Perceptron Algorithm -- Part-of-Speech Tagging Using Word Probability Based on Category Patterns -- Handling Conjunctions in Named Entities -- ANERsys: An Arabic Named Entity Recognition System Based on Maximum Entropy -- Applying Machine Learning to Chinese Entity Detection and Tracking -- Evaluation of an Automatic Extension of Temporal Expression Treatment to Catalan -- A Generalized Approach to Word Segmentation Using Maximum Length Descending Frequency and Entropy Rate -- Tagging Sentence Boundaries in Biomedical Literature -- Probabilistic Classifications with TBL -- The Non-associativity of Polarized Tree-Based Grammars -- Dependency Analysis of Clauses Using Parse Tree Kernels -- Unsupervised Method for Parsing Coordinated Base Noun Phrases -- Text Categorization for Improved Priors of Word Meaning -- Case-Sensitivity of Classifiers for WSD: Complex Systems Disambiguate Tough Words Better -- Word Clustering for Collocation-Based Word Sense Disambiguation -- Lexical Constellations and the Structure of Meaning: A Prototype Application to WSD -- Rule-Based Protein Term Identification with Help from Automatic Species Tagging -- Unsupervised Discrimination of Person Names in Web Contexts -- Learning for Semantic Parsing -- The Usefulness of Conceptual Representation for the Identification of Semantic Variability Expressions -- Characterizing Humour: An Exploration of Features in Humorous Texts -- Representing Emotions with Linguistic Acuity -- Intelligent Text Processing Applications -- An Evaluation of UNL Usability for High Quality Multilingualization and Projections for a Future UNL++ Language -- Transfer-Based MT from Spanish into Basque: Reusability, Standardization and Open Source -- Dependency-Based Chinese-English Statistical Machine Translation -- Asymmetric Hybrid Machine Translation for Languages with Scarce Resources -- CL-Guided Korean-English MT System for Scientific Papers -- Comparing and Integrating Alignment Template and Standard Phrase-Based Statistical Machine Translation -- Dependency Analysis and CBR to Bridge the Generation Gap in Template-Based NLG -- Experiments on Generating Questions About Facts -- Expert vs. Non-expert Tutoring: Dialogue Moves, Interaction Patterns and Multi-utterance Turns -- A Competitive Term Selection Method for Information Retrieval -- Incorporating Passage Feature Within Language Model Framework for Information Retrieval -- Enhancing Cross-Language Question Answering by Combining Multiple Question Translations -- The Negative Effect of Machine Translation on Cross–Lingual Question Answering -- Using Clustering Approaches to Open-Domain Question Answering -- A Little Known Fact Is ... Answering Other Questions Using Interest-Markers -- Adapting the JIRS Passage Retrieval System to the Arabic Language -- Using Question-Answer Pairs in Extractive Summarization of Email Conversations -- NEO-CORTEX: A Performant User-Oriented Multi-Document Summarization System -- Event-Based Summarization Using Time Features -- NLP-Based Curation of Bacterial Regulatory Networks -- Exploiting Category Information and Document Information to Improve Term Weighting for Text Categorization -- On the Impact of Lexical and Linguistic Features in Genre- and Domain-Based Categorization -- Clustering Narrow-Domain Short Texts by Using the Kullback-Leibler Distance -- A Mixed Trigrams Approach for Context Sensitive Spell Checking -- Combining Methods for Detecting and Correcting Semantic Hidden Errors in Arabic Texts.
Record Nr. UNINA-9910767530703321
Gelbukh Alexander <1962->  
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2007
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computational Linguistics and Intelligent Text Processing . Part I : 20th International Conference, CICLing 2019, la Rochelle, France, April 7-13, 2019, Revised Selected Papers. Part I / / Alexander Gelbukh (editor)
Computational Linguistics and Intelligent Text Processing . Part I : 20th International Conference, CICLing 2019, la Rochelle, France, April 7-13, 2019, Revised Selected Papers. Part I / / Alexander Gelbukh (editor)
Edizione [First edition.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2023]
Descrizione fisica 1 online resource (681 pages)
Disciplina 410.285
Collana Lecture Notes in Computer Science Series
Soggetto topico Computational linguistics
Discourse analysis - Data processing
Information storage and retrieval systems
Text processing (Computer science)
ISBN 3-031-24337-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Artificial intelligence -- Natural language processing -- Information extraction -- Lexical semantics -- Natural language generation -- Language resources -- Phonology -- Morphology -- Discourse -- Dialogue and pragmatics.
Record Nr. UNISA-996511869403316
Cham, Switzerland : , : Springer, , [2023]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Computational Linguistics and Intelligent Text Processing . Part II : 20th International Conference, CICLing 2019, la Rochelle, France, April 7-13, 2019, Revised Selected Papers / / Alexander Gelbukh (editor)
Computational Linguistics and Intelligent Text Processing . Part II : 20th International Conference, CICLing 2019, la Rochelle, France, April 7-13, 2019, Revised Selected Papers / / Alexander Gelbukh (editor)
Edizione [First edition.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2023]
Descrizione fisica 1 online resource (683 pages)
Disciplina 410.285
Collana Lecture Notes in Computer Science Series
Soggetto topico Computational linguistics
Natural language processing (Computer science)
Text processing (Computer science)
ISBN 3-031-24340-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Artificial intelligence -- Natural language processing -- Information extraction -- Lexical semantics -- Natural language generation -- Language resources -- Phonology -- Morphology -- Discourse -- Dialogue and pragmatics.
Record Nr. UNISA-996511869603316
Cham, Switzerland : , : Springer, , [2023]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Computational Linguistics and Intelligent Text Processing . Part II : 19th International Conference, CICLing 2018, Hanoi, Vietnam, March 18-24, 2018, Revised Selected Papers / / Alexander Gelbukh, editor
Computational Linguistics and Intelligent Text Processing . Part II : 19th International Conference, CICLing 2018, Hanoi, Vietnam, March 18-24, 2018, Revised Selected Papers / / Alexander Gelbukh, editor
Edizione [First edition.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2023]
Descrizione fisica 1 online resource (468 pages)
Disciplina 410.285
Collana Lecture Notes in Computer Science Series
Soggetto topico Computational linguistics
Natural language processing (Computer science)
Text processing (Computer science)
ISBN 3-031-23804-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Author profiling and authorship attribution, social network analysis -- Information retrieval, information extraction -- Lexical resources -- Best Paper Award, Third Place -- Machine translation -- Morphology, Syntax -- Best Paper Award, Second Place -- Semantics and text similarity -- Sentiment analysis -- Syntax and parsing -- Text categorization and clustering -- Best Paper Award, First Place -- Text generation -- Text mining.
Record Nr. UNINA-9910674354703321
Cham, Switzerland : , : Springer, , [2023]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computational Linguistics and Intelligent Text Processing . Part I : 20th International Conference, CICLing 2019, la Rochelle, France, April 7-13, 2019, Revised Selected Papers. Part I / / Alexander Gelbukh (editor)
Computational Linguistics and Intelligent Text Processing . Part I : 20th International Conference, CICLing 2019, la Rochelle, France, April 7-13, 2019, Revised Selected Papers. Part I / / Alexander Gelbukh (editor)
Edizione [First edition.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2023]
Descrizione fisica 1 online resource (681 pages)
Disciplina 410.285
Collana Lecture Notes in Computer Science Series
Soggetto topico Computational linguistics
Discourse analysis - Data processing
Information storage and retrieval systems
Text processing (Computer science)
ISBN 3-031-24337-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Artificial intelligence -- Natural language processing -- Information extraction -- Lexical semantics -- Natural language generation -- Language resources -- Phonology -- Morphology -- Discourse -- Dialogue and pragmatics.
Record Nr. UNINA-9910674344303321
Cham, Switzerland : , : Springer, , [2023]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui