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.
Intelligent Asset Management / / by Frank Xing, Erik Cambria, Roy Welsch
| Intelligent Asset Management / / by Frank Xing, Erik Cambria, Roy Welsch |
| Autore | Xing Frank |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XXII, 149 p. 43 illus., 34 illus. in color.) |
| Disciplina | 610 |
| Collana | Socio-Affective Computing |
| Soggetto topico |
Medicine
Data mining Artificial intelligence Electronic commerce Biomedicine, general Data Mining and Knowledge Discovery Artificial Intelligence e-Business/e-Commerce e-Commerce/e-business Intel·ligència artificial |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-30263-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Introduction -- Chapter 2 -- Revisiting the Literature -- Chapter 3. Theoretical Underpinnings on Text Mining -- Chapter 4. Computational Semantics for Asset Correlations -- Chapter 5. Sentiment Analysis for View Modeling -- Chapter 6. Storage and Update of Domain Knowledge -- Chapter 7. Dialog Systems and Robo-advisory -- Chapter 8. Concluding Remarks -- Appendix -- Index. |
| Record Nr. | UNINA-9910373915903321 |
Xing Frank
|
||
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Multimodal Sentiment Analysis / / by Soujanya Poria, Amir Hussain, Erik Cambria
| Multimodal Sentiment Analysis / / by Soujanya Poria, Amir Hussain, Erik Cambria |
| Autore | Poria Soujanya |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (223 pages) |
| Disciplina | 006.3 |
| Collana | Socio-Affective Computing |
| Soggetto topico |
Neurosciences
Multimedia systems Optical data processing Natural language processing (Computer science) Translating and interpreting Multimedia Information Systems Image Processing and Computer Vision Natural Language Processing (NLP) Translation |
| ISBN | 3-319-95020-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Introduction and Motivation -- Background -- Literature Survey and Datasets -- Concept Extraction from Natural Text for Concept Level Text Analysis -- EmoSenticSpace: Dense concept-based affective features with common-sense knowledge -- Sentic Patterns: Sentiment Data Flow Analysis by Means of Dynamic Linguistic Patterns -- Combining Textual Clues with Audio-Visual Information for Multimodal Sentiment Analysis -- Conclusion and Future Work -- Index. |
| Record Nr. | UNINA-9910298407903321 |
|
Poria Soujanya
|
||
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
A Practical Guide to Sentiment Analysis / / edited by Erik Cambria, Dipankar Das, Sivaji Bandyopadhyay, Antonio Feraco
| A Practical Guide to Sentiment Analysis / / edited by Erik Cambria, Dipankar Das, Sivaji Bandyopadhyay, Antonio Feraco |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (VII, 196 p. 16 illus., 7 illus. in color.) |
| Disciplina | 006.35 |
| Collana | Socio-Affective Computing |
| Soggetto topico |
Medicine
Information storage and retrieval Applied linguistics Applied mathematics Engineering mathematics User interfaces (Computer systems) Statistics Biomedicine, general Information Storage and Retrieval Applied Linguistics Mathematical and Computational Engineering User Interfaces and Human Computer Interaction Statistics and Computing/Statistics Programs |
| ISBN | 3-319-55394-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Affective Computing and Sentiment Analysis -- Many Facets of Sentiment Analysis -- Reflections on Sentiment/Opinion Analysis -- Challenges in Sentiment Analysis -- Sentiment Resources: Lexicons and Datasets -- Generative Models for Sentiment Analysis and Opinion Mining -- Social Media Summarization -- Deception Detection and Opinion Spam -- Concept-Level Sentiment Analysis with SenticNet -- Index. |
| Record Nr. | UNINA-9910253909103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Proceedings of ELM-2014 Volume 1 : Algorithms and Theories / / edited by Jiuwen Cao, Kezhi Mao, Erik Cambria, Zhihong Man, Kar-Ann Toh
| Proceedings of ELM-2014 Volume 1 : Algorithms and Theories / / edited by Jiuwen Cao, Kezhi Mao, Erik Cambria, Zhihong Man, Kar-Ann Toh |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (446 p.) |
| Disciplina |
006.3
620 |
| Collana | Proceedings in Adaptation, Learning and Optimization |
| Soggetto topico |
Computational intelligence
Artificial intelligence Computational Intelligence Artificial Intelligence |
| ISBN | 3-319-14063-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Sparse Bayesian ELM handling with missing data for multi-class classification -- A Fast Incremental Method Based on Regularized Extreme Learning Machine -- Parallel Ensemble of Online Sequential Extreme Learning Machine Based on MapReduce -- Explicit Computation of Input Weights in Extreme Learning Machines -- Subspace Detection on Concept Drifting Data Stream -- Inductive Bias for Semi-supervised Extreme Learning Machine -- ELM based Efficient Probabilistic Threshold Query on Uncertain Data -- Sample-based Extreme Learning Machine Regression with Absent Data -- Two Stages Query Processing Optimization based on ELM in the Cloud -- Domain Adaption Transfer Extreme Learning Machine -- Quasi-linear extreme learning machine model based nonlinear system identification -- A novel bio-inspired image recognition network with extreme learning machine -- A Deep and Stable Extreme Learning Approach for Classification and Regression -- Extreme Learning Machine Ensemble Classifier for Large-scale Data -- Pruned Extreme Learning Machine Optimization based on RANSAC Multi Model Response Regularization -- Learning ELM network weights using linear discriminant analysis -- An Algorithm for Classification over Uncertain Data based on Extreme Learning Machine -- Training Generalized Feedforward Kernelized Neural Networks on Very Large Datasets for Regression Using Minimal-Enclosing-Ball Approximation -- An Online Multiple Model Approach to Improve Performance in Univariate Time-Series Prediction -- A Self-organizing Mixture Extreme Leaning Machine for Time Series Forecasting -- A Robust AdaBoost.RT based Ensemble Extreme Learning Machine -- Machine learning reveals different brain activities during TOVA test -- Online Sequential Extreme Learning Machine with New Weight-setting Strategy or Non stationary Time Series Prediction -- RMSE-ELM: Recursive Model based Selective Ensemble of Extreme Learning Machines for Robustness Improvement -- Extreme Learning Machine for Regression and Classification Using L1-Norm and L2-Norm -- A Semi-supervised Online Sequential Extreme Learning Machine Method -- ELM feature mappings learning: Single-hidden-layer feed forward network without output weight -- ROS-ELM: A Robust Online Sequential Extreme Learning Machine for Big Data -- Deep Extreme Learning Machines for Classification -- C-ELM: A Curious Extreme Learning Machine for Classification Problems -- Review of Advances in Neural Networks: Neural Design Technology Stack -- Applying Regularization Least Squares Canonical Correction Analysis in Extreme Learning Machine formulti-label classification problems -- Least Squares Policy Iteration based on Random Vector Basis -- Identifying Indistinguishable Classes in Multi-class Classification Data Sets using ELM -- Effects of Training Datasets on both the Extreme Learning Machine and Support Vector Machine for Target Audience Identification on Twitter -- Extreme Learning Machine for Clustering. |
| Record Nr. | UNINA-9910299702203321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Proceedings of ELM-2014 Volume 2 : Applications / / edited by Jiuwen Cao, Kezhi Mao, Erik Cambria, Zhihong Man, Kar-Ann Toh
| Proceedings of ELM-2014 Volume 2 : Applications / / edited by Jiuwen Cao, Kezhi Mao, Erik Cambria, Zhihong Man, Kar-Ann Toh |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (395 p.) |
| Disciplina |
006.3
620 |
| Collana | Proceedings in Adaptation, Learning and Optimization |
| Soggetto topico |
Computational intelligence
Artificial intelligence Computational Intelligence Artificial Intelligence |
| ISBN | 3-319-14066-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Using Extreme Learning Machine for Filamentous Bulking Prediction and Forecast in Wastewater Treatment Plants -- Extreme Learning Machine for Linear Dynamical Systems Classification: Application to Human Activity Recognition -- Lens Distortion Correction Using ELM -- Pedestrian Detection in Thermal Infrared Image using Extreme Learning Machine -- Dynamic Texture Video Classification Using Extreme Learning Machine -- Uncertain XML Documents Classification Using Extreme Learning Machine -- Encrypted traffic identification based on randomness sparse feature and extreme learning machine -- Network Intrusion Detection Based on Extreme Learning Machine -- A Study on Three-dimensional Motion History Image and Extreme Learning Machine Oriented Body Movements Trajectory Recognition -- An Improved ELM Algorithm for the Measurement of Hot Metal Temperature in Blast Furnace -- Wi-Fi and Motion Sensors based Indoor Localization Combining ELM and Particle Filter -- Online Sequential Extreme Learning Machine for Watermarking -- Adaptive neural control of quadrotor helicopter with extreme learning machine -- Keyword Search on Probabilistic XML Data based on ELM -- A Novel HVS Based Gray Scale Image Watermarking Scheme Using Fast Fuzzy - ELM Hybrid Architecture -- Wearable EyeGlass based Fall Detection using Weighted ELM -- Concise Feature Extraction based ELM for Active Service Quality Prediction -- Multi-class AdaBoost ELM and Its Application in LBP Based Face Recognition -- Detecting Copy Directions among Programs Using Extreme Learning Machines -- Extreme learning machine for reservoir parameter estimation in heterogeneous reservoir -- Multifault Diagnosis for Rolling Element Bearings Based on Extreme Learning Machine -- Gradient-based No-Reference Image Blur Assessment Using Extreme Learning Machine -- RFID Enabled Indoor Positioning for Real-time Manufacturing Execution System based on OS-ELM -- An Online Sequential Extreme Learning Machine for Tidal Prediction based on Improved Gath-Geva Fuzzy Segmentation -- Recognition of Human Stair Ascent and Descent Activities based on Extreme Learning Machine -- ELM Based Dynamic Modeling for Online Prediction of Content in Molten Iron -- Distributed Learning over Massive XML Documents in ELM Feature Space -- Hyperspectral Image Nonlinear Unmixing by Ensemble ELM Regression -- Text-Image Separation and Indexing in Historic Patent Document Image Based on Extreme Learning Machine -- Anomaly Detection with ELM-based Visual Attribute and Spatio-temporal Pyramid -- Modelling and Prediction of Surface Roughness and Power Consumption using Parallel Extreme Learning Machine based Particle Swarm Optimization -- OS-ELM based Emotion Recognition for Empathetic Elderly Companion -- Access Behavior Prediction in Distributed StorageSystem using Regularized Extreme Learning Machine -- ELM Based Fast CFD Model with Sensor Adjustment -- Melasma Image Segmentation Using Extreme Learning Machine -- Detection of Drivers' Distraction Using Semi-Supervised Extreme Learning Machine -- Driver Workload Detection in On-road Driving Environment using Machine Learning. |
| Record Nr. | UNINA-9910299705503321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Proceedings of ELM-2016 / / edited by Jiuwen Cao, Erik Cambria, Amaury Lendasse, Yoan Miche, Chi Man Vong
| Proceedings of ELM-2016 / / edited by Jiuwen Cao, Erik Cambria, Amaury Lendasse, Yoan Miche, Chi Man Vong |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XIII, 285 p. 143 illus., 126 illus. in color.) |
| Disciplina | 006.31 |
| Collana | Proceedings in Adaptation, Learning and Optimization |
| Soggetto topico |
Computational intelligence
Artificial intelligence Computational Intelligence Artificial Intelligence |
| ISBN | 3-319-57421-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | From the Content: Earthen Archaeological Site Monitoring Data Analysis Using Kernel-based ELM and Non-uniform Sampling TFR -- A Multi-Valued Neuron ELM with Complex-Valued Inputs for System Identification using FRA -- Quaternion Extreme Learning Machine. |
| Record Nr. | UNINA-9910299911903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Proceedings of the first International Workshop on Issues of Sentiment Discovery and Opinion Mining (WISDOM 2012) : August 12, 2012, Beijing, China
| Proceedings of the first International Workshop on Issues of Sentiment Discovery and Opinion Mining (WISDOM 2012) : August 12, 2012, Beijing, China |
| Autore | Cambria Erik |
| Pubbl/distr/stampa | [Place of publication not identified], : ACM, 2012 |
| Descrizione fisica | 1 online resource (85 pages) |
| Collana | ACM Conferences |
| Soggetto topico |
Sociology & Social History
Social Sciences Social Change |
| ISBN | 1-4503-1543-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Proceedings of the first International Workshop on Issues of Sentiment Discovery and Opinion Mining |
| Record Nr. | UNINA-9910376318403321 |
|
Cambria Erik
|
||
| [Place of publication not identified], : ACM, 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Proceedings of the second International Workshop on Issues of Sentiment Discovery and Opinion Mining (WISDOM 2013) : August 11, 2013, Chicago, IL, USA
| Proceedings of the second International Workshop on Issues of Sentiment Discovery and Opinion Mining (WISDOM 2013) : August 11, 2013, Chicago, IL, USA |
| Autore | Cambria Erik |
| Pubbl/distr/stampa | [Place of publication not identified], : ACM, 2013 |
| Descrizione fisica | 1 online resource (90 pages) |
| Collana | ACM Conferences |
| Soggetto topico |
Sociology & Social History
Social Sciences Social Change |
| ISBN | 1-4503-2332-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
WISDOM 2013
Proceedings of the second International Workshop on Issues of Sentiment Discovery and Opinion Mining |
| Record Nr. | UNINA-9910375721303321 |
|
Cambria Erik
|
||
| [Place of publication not identified], : ACM, 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Semantic Web Evaluation Challenge : SemWebEval 2014 at ESWC 2014, Anissaras, Crete, Greece, May 25-29, 2014, Revised Selected Papers / / edited by Valentina Presutti, Milan Stankovic, Erik Cambria, Iván Cantador, Angelo Di Iorio, Tommaso Di Noia, Christoph Lange, Diego Reforgiato Recupero, Anna Tordai
| Semantic Web Evaluation Challenge : SemWebEval 2014 at ESWC 2014, Anissaras, Crete, Greece, May 25-29, 2014, Revised Selected Papers / / edited by Valentina Presutti, Milan Stankovic, Erik Cambria, Iván Cantador, Angelo Di Iorio, Tommaso Di Noia, Christoph Lange, Diego Reforgiato Recupero, Anna Tordai |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (XV, 205 p. 31 illus.) |
| Disciplina | 005.7565 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Information storage and retrieval
Database management Artificial intelligence Application software Information Storage and Retrieval Database Management Artificial Intelligence Information Systems Applications (incl. Internet) |
| ISBN | 3-319-12024-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910298987803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Sentiment Analysis in the Bio-Medical Domain : Techniques, Tools, and Applications / / by Ranjan Satapathy, Erik Cambria, Amir Hussain
| Sentiment Analysis in the Bio-Medical Domain : Techniques, Tools, and Applications / / by Ranjan Satapathy, Erik Cambria, Amir Hussain |
| Autore | Satapathy Ranjan |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XXIV, 134 p. 45 illus., 33 illus. in color.) |
| Disciplina | 006.312 |
| Collana | Socio-Affective Computing |
| Soggetto topico |
Medicine
Computational intelligence Computer science Biomedicine, general Computational Intelligence Computer Science, general |
| ISBN | 3-319-68468-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910255452503321 |
|
Satapathy Ranjan
|
||
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
