Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Computational Processing of the Portuguese Language [[electronic resource] ] : 14th International Conference, PROPOR 2020, Evora, Portugal, March 2–4, 2020, Proceedings / / edited by Paulo Quaresma, Renata Vieira, Sandra Aluísio, Helena Moniz, Fernando Batista, Teresa Gonçalves
| Computational Processing of the Portuguese Language [[electronic resource] ] : 14th International Conference, PROPOR 2020, Evora, Portugal, March 2–4, 2020, Proceedings / / edited by Paulo Quaresma, Renata Vieira, Sandra Aluísio, Helena Moniz, Fernando Batista, Teresa Gonçalves |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XIV, 426 p. 158 illus., 75 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Database management Application software Information storage and retrieval Artificial Intelligence Database Management Computer Applications Information Storage and Retrieval Information Systems Applications (incl. Internet) |
| ISBN | 3-030-41505-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Speech processing -- Resources and evaluation -- Natural language processing applications -- Semantics -- Natural language processing tasks -- Multilinguality. |
| Record Nr. | UNISA-996418207303316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Computational Processing of the Portuguese Language : 14th International Conference, PROPOR 2020, Evora, Portugal, March 2–4, 2020, Proceedings / / edited by Paulo Quaresma, Renata Vieira, Sandra Aluísio, Helena Moniz, Fernando Batista, Teresa Gonçalves
| Computational Processing of the Portuguese Language : 14th International Conference, PROPOR 2020, Evora, Portugal, March 2–4, 2020, Proceedings / / edited by Paulo Quaresma, Renata Vieira, Sandra Aluísio, Helena Moniz, Fernando Batista, Teresa Gonçalves |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XIV, 426 p. 158 illus., 75 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Database management Application software Information storage and retrieval Artificial Intelligence Database Management Computer Applications Information Storage and Retrieval Information Systems Applications (incl. Internet) |
| ISBN | 3-030-41505-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Speech processing -- Resources and evaluation -- Natural language processing applications -- Semantics -- Natural language processing tasks -- Multilinguality. |
| Record Nr. | UNINA-9910380748103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Experimental IR Meets Multilinguality, Multimodality, and Interaction [[electronic resource] ] : 7th International Conference of the CLEF Association, CLEF 2016, Évora, Portugal, September 5-8, 2016, Proceedings / / edited by Norbert Fuhr, Paulo Quaresma, Teresa Gonçalves, Birger Larsen, Krisztian Balog, Craig Macdonald, Linda Cappellato, Nicola Ferro
| Experimental IR Meets Multilinguality, Multimodality, and Interaction [[electronic resource] ] : 7th International Conference of the CLEF Association, CLEF 2016, Évora, Portugal, September 5-8, 2016, Proceedings / / edited by Norbert Fuhr, Paulo Quaresma, Teresa Gonçalves, Birger Larsen, Krisztian Balog, Craig Macdonald, Linda Cappellato, Nicola Ferro |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XIII, 380 p. 67 illus.) |
| Disciplina | 025.04 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Natural language processing (Computer science)
Information storage and retrieval Computational linguistics Artificial intelligence Application software Natural Language Processing (NLP) Information Storage and Retrieval Computational Linguistics Artificial Intelligence Information Systems Applications (incl. Internet) |
| ISBN | 3-319-44564-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996465648003316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Experimental IR Meets Multilinguality, Multimodality, and Interaction : 7th International Conference of the CLEF Association, CLEF 2016, Évora, Portugal, September 5-8, 2016, Proceedings / / edited by Norbert Fuhr, Paulo Quaresma, Teresa Gonçalves, Birger Larsen, Krisztian Balog, Craig Macdonald, Linda Cappellato, Nicola Ferro
| Experimental IR Meets Multilinguality, Multimodality, and Interaction : 7th International Conference of the CLEF Association, CLEF 2016, Évora, Portugal, September 5-8, 2016, Proceedings / / edited by Norbert Fuhr, Paulo Quaresma, Teresa Gonçalves, Birger Larsen, Krisztian Balog, Craig Macdonald, Linda Cappellato, Nicola Ferro |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XIII, 380 p. 67 illus.) |
| Disciplina | 025.04 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Natural language processing (Computer science)
Information storage and retrieval Computational linguistics Artificial intelligence Application software Natural Language Processing (NLP) Information Storage and Retrieval Computational Linguistics Artificial Intelligence Information Systems Applications (incl. Internet) |
| ISBN | 3-319-44564-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910484180703321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Intelligent Data Engineering and Automated Learning – IDEAL 2023 [[electronic resource] ] : 24th International Conference, Évora, Portugal, November 22–24, 2023, Proceedings / / edited by Paulo Quaresma, David Camacho, Hujun Yin, Teresa Gonçalves, Vicente Julian, Antonio J. Tallón-Ballesteros
| Intelligent Data Engineering and Automated Learning – IDEAL 2023 [[electronic resource] ] : 24th International Conference, Évora, Portugal, November 22–24, 2023, Proceedings / / edited by Paulo Quaresma, David Camacho, Hujun Yin, Teresa Gonçalves, Vicente Julian, Antonio J. Tallón-Ballesteros |
| Autore | Quaresma Paulo |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (561 pages) |
| Disciplina | 006.312 |
| Altri autori (Persone) |
CamachoDavid
YinHujun GonçalvesTeresa JulianVicente Tallón-BallesterosAntonio J |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Data mining
Machine learning Software engineering Education - Data processing Computer vision Data Mining and Knowledge Discovery Machine Learning Software Engineering Computers and Education Computer Vision |
| ISBN | 3-031-48232-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Main Track: Optimization of Image Acquisition for Earth Observation Satellites via Quantum Computing -- Complexity-driven sampling for Bagging -- A pseudo-label guided hybrid approach for unsupervised domain adaptation⋆ -- Combining of Markov Random Field and Convolutional Neural Networks for Hyper/Multispectral Image Classification -- Plant Disease Detection and Classification using a Deep learning-based framework -- Evaluating Text Classification in the Legal Domain Using BERT Embeddings -- Rapid and Low-Cost Evaluation of Multi-Fidelity Scheduling Algorithms for Hyperparameter Optimization -- The Applicability of Federated Learning to Official Statistics -- Generating Wildfire Heat Maps with Twitter and BERT -- An urban simulator integrated with a genetic algorithm for efficient traffic light coordination -- GPU-Based Acceleration of the Rao Optimization Algorithms: Application to the Solution of Large Systems of Nonlinear Equations -- Direct determination of Operational Value-at-Risk using Descriptive Statistics -- Using Deep Learning models to Predict the Electrical Conductivity of the influent in a Wastewater Treatment Plant. -Unsupervised Defect Detection for Infrastructure Inspection -- Generating Adversarial Examples using LAD -- Emotion extraction from Likert-Scale questionnaires – an additional dimension to Psychology Instruments -- Recent applications of pre-aggregation functions -- A Probabilistic Approach: Querying Web Resources In The Presence Of Uncertainty -- Domain Adaptation in Transformer models: Question Answering of Dutch Government Policies -- Sustainable On-Street Parking Mapping with Deep Learning and Airborne Imagery -- Hebbian Learning-Guided Random Walks for Enhanced Community Detection in Correlation-Based Brain Networks -- Hebbian Learning-Guided Random Walks for Enhanced Community Detection in Correlation-Based Brain Networks -- Language Models for Automatic Distribution of Review Notes in Movie Production -- Extracting Knowledge from Incompletely Known Models -- Threshold-based Classification to Enhance Confidence in Open Set of Legal Texts -- Comparing ranking learning algorithms for information retrieval systems -- Analyzing the influence of market event correction for forecasting stock prices using Recurrent Neural Networks -- Measuring the relationship between the use of typical Manosphere discourse and the engagement of a user with the pick-up artist community⋆ -- Uniform Design of Experiments for Equality Constraints -- Globular Cluster Detection in M33 Using Multiple Views Representation Learning -- Segmentation of Brachial Plexus Ultrasound Images Based on Modified SegNet Model -- Unsupervised Online Event Ranking for IT Operations⋆ -- A Subgraph Embedded GIN with Attention for Graph Classification -- A Machine Learning Approach to Predict Cyclists’ Functional Threshold Power -- Combining Regular Expressions and Supervised Algorithms for Clinical Text Classification -- MODELING THE INK TUNING PROCESS USING MACHINE LEARNING -- Depth and Width Adaption of DNN for Data Stream Classification with Concept Drifts* -- FETCH: A Memory-Efficient Replay Approach for Continual Learning in Image Classification -- Enhanced SVM-SMOTE with Cluster Consistency for Imbalanced Data Classification -- Preliminary Study on Unexploded Ordnance Classification in Underwater Environment Based on the Raw Magnetometry Data. -- Efficient Model For Probabilistic Web resources under uncertainty -- Unlocking the Black Box: Towards Interactive Explainable Automated Machine Learning -- Machine Learning for Time Series Forecasting Using State Space Models -- Causal graph discovery for explainable insights on marine biotoxin shellfish contamination -- Special Session on Federated Learning and (pre) Aggregation in Machine Learning: Adaptative fuzzy measure for edge detection -- Special Session on Intelligent Techniques for Real-world Applications of Renewable Energy and Green Transport: Prediction and Uncertainty Estimation in Power Curves of Wind Turbines Using ε-SVR -- Glide Ratio Optimization for Wind Turbine Airfoils based on Genetic Algorithms -- Special Session on Data Selection in Machine Learning: Detecting Image Forgery Using Support Vector Machine and Texture Features -- Instance selection techniques for large volumes of data. |
| Record Nr. | UNISA-996565868903316 |
Quaresma Paulo
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Intelligent Data Engineering and Automated Learning – IDEAL 2023 : 24th International Conference, Évora, Portugal, November 22–24, 2023, Proceedings / / edited by Paulo Quaresma, David Camacho, Hujun Yin, Teresa Gonçalves, Vicente Julian, Antonio J. Tallón-Ballesteros
| Intelligent Data Engineering and Automated Learning – IDEAL 2023 : 24th International Conference, Évora, Portugal, November 22–24, 2023, Proceedings / / edited by Paulo Quaresma, David Camacho, Hujun Yin, Teresa Gonçalves, Vicente Julian, Antonio J. Tallón-Ballesteros |
| Autore | Quaresma Paulo |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (561 pages) |
| Disciplina | 006.312 |
| Altri autori (Persone) |
CamachoDavid
YinHujun GonçalvesTeresa JulianVicente Tallón-BallesterosAntonio J |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Data mining
Machine learning Software engineering Education - Data processing Computer vision Data Mining and Knowledge Discovery Machine Learning Software Engineering Computers and Education Computer Vision |
| ISBN | 3-031-48232-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Main Track: Optimization of Image Acquisition for Earth Observation Satellites via Quantum Computing -- Complexity-driven sampling for Bagging -- A pseudo-label guided hybrid approach for unsupervised domain adaptation⋆ -- Combining of Markov Random Field and Convolutional Neural Networks for Hyper/Multispectral Image Classification -- Plant Disease Detection and Classification using a Deep learning-based framework -- Evaluating Text Classification in the Legal Domain Using BERT Embeddings -- Rapid and Low-Cost Evaluation of Multi-Fidelity Scheduling Algorithms for Hyperparameter Optimization -- The Applicability of Federated Learning to Official Statistics -- Generating Wildfire Heat Maps with Twitter and BERT -- An urban simulator integrated with a genetic algorithm for efficient traffic light coordination -- GPU-Based Acceleration of the Rao Optimization Algorithms: Application to the Solution of Large Systems of Nonlinear Equations -- Direct determination of Operational Value-at-Risk using Descriptive Statistics -- Using Deep Learning models to Predict the Electrical Conductivity of the influent in a Wastewater Treatment Plant. -Unsupervised Defect Detection for Infrastructure Inspection -- Generating Adversarial Examples using LAD -- Emotion extraction from Likert-Scale questionnaires – an additional dimension to Psychology Instruments -- Recent applications of pre-aggregation functions -- A Probabilistic Approach: Querying Web Resources In The Presence Of Uncertainty -- Domain Adaptation in Transformer models: Question Answering of Dutch Government Policies -- Sustainable On-Street Parking Mapping with Deep Learning and Airborne Imagery -- Hebbian Learning-Guided Random Walks for Enhanced Community Detection in Correlation-Based Brain Networks -- Hebbian Learning-Guided Random Walks for Enhanced Community Detection in Correlation-Based Brain Networks -- Language Models for Automatic Distribution of Review Notes in Movie Production -- Extracting Knowledge from Incompletely Known Models -- Threshold-based Classification to Enhance Confidence in Open Set of Legal Texts -- Comparing ranking learning algorithms for information retrieval systems -- Analyzing the influence of market event correction for forecasting stock prices using Recurrent Neural Networks -- Measuring the relationship between the use of typical Manosphere discourse and the engagement of a user with the pick-up artist community⋆ -- Uniform Design of Experiments for Equality Constraints -- Globular Cluster Detection in M33 Using Multiple Views Representation Learning -- Segmentation of Brachial Plexus Ultrasound Images Based on Modified SegNet Model -- Unsupervised Online Event Ranking for IT Operations⋆ -- A Subgraph Embedded GIN with Attention for Graph Classification -- A Machine Learning Approach to Predict Cyclists’ Functional Threshold Power -- Combining Regular Expressions and Supervised Algorithms for Clinical Text Classification -- MODELING THE INK TUNING PROCESS USING MACHINE LEARNING -- Depth and Width Adaption of DNN for Data Stream Classification with Concept Drifts* -- FETCH: A Memory-Efficient Replay Approach for Continual Learning in Image Classification -- Enhanced SVM-SMOTE with Cluster Consistency for Imbalanced Data Classification -- Preliminary Study on Unexploded Ordnance Classification in Underwater Environment Based on the Raw Magnetometry Data. -- Efficient Model For Probabilistic Web resources under uncertainty -- Unlocking the Black Box: Towards Interactive Explainable Automated Machine Learning -- Machine Learning for Time Series Forecasting Using State Space Models -- Causal graph discovery for explainable insights on marine biotoxin shellfish contamination -- Special Session on Federated Learning and (pre) Aggregation in Machine Learning: Adaptative fuzzy measure for edge detection -- Special Session on Intelligent Techniques for Real-world Applications of Renewable Energy and Green Transport: Prediction and Uncertainty Estimation in Power Curves of Wind Turbines Using ε-SVR -- Glide Ratio Optimization for Wind Turbine Airfoils based on Genetic Algorithms -- Special Session on Data Selection in Machine Learning: Detecting Image Forgery Using Support Vector Machine and Texture Features -- Instance selection techniques for large volumes of data. |
| Record Nr. | UNINA-9910765481303321 |
|
Quaresma Paulo
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||