| Título : |
25th International Symposium, ISMIS 2020, Graz, Austria, September 23–25, 2020, Proceedings |
| Tipo de documento: |
documento electrónico |
| Autores: |
Helic, Denis, ; Leitner, Gerhard, ; Stettinger, Martin, ; Felfernig, Alexander, ; Ras, Zbigniew W., |
| Mención de edición: |
1 ed. |
| Editorial: |
[s.l.] : Springer |
| Fecha de publicación: |
2020 |
| Número de páginas: |
XXVII, 470 p. 171 ilustraciones, 93 ilustraciones en color. |
| ISBN/ISSN/DL: |
978-3-030-59491-6 |
| Nota general: |
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. |
| Palabras clave: |
Inteligencia artificial Software de la aplicacion Procesamiento de datos Ciencias sociales Visión por computador Aplicaciones informáticas y de sistemas de información Minería de datos y descubrimiento de conocimientos Aplicación informática en ciencias sociales y del comportamiento |
| Índice Dewey: |
006.3 Inteligencia artificial |
| Resumen: |
Este libro constituye las actas del 25º Simposio Internacional sobre Fundamentos de Sistemas Inteligentes, ISMIS 2020, celebrado en Graz, Austria, en octubre de 2020. La conferencia se llevó a cabo virtualmente debido a la pandemia de COVID-19. Los 35 artículos completos y 8 artículos breves presentados en este volumen fueron cuidadosamente revisados y seleccionados entre 79 presentaciones. También se incluye una charla invitada. Los artículos tratan temas como el procesamiento del lenguaje natural; aprendizaje profundo e incorporaciones; procesamiento de señales digitales; modelado y razonamiento; y aplicaciones de aprendizaje automático. |
| Nota de contenido: |
Invited Talks -- Complementing Behavioural Modeling with Cognitive Modeling for Better Recommendations -- Nominees for Best Paper Award -- The Construction of Action Rules to Raise Artwork Prices -- Metric-Guided Multi-Task Learning -- Sentiment Analysis with Contextual Embeddings and Self-Attention -- Nominees for Best Student Paper Award -- Interpretable Segmentation of Medical Free-Text Records Based on Word Embeddings -- Decision-Making with Probabilistic Reasoning in Engineering Design -- Hyperbolic embeddings for hierarchical multi-label classification -- Natural Language Processing -- Joint Multiclass Debiasing of Word Embeddings -- Recursive Neural Text Classification using Discourse Tree Structure for Argumentation Mining and Sentiment Analysis Tasks -- Named Entity Recommendations to Enhance Multilingual Retrieval in Europeana.eu -- A Deep Learning Approach to Fake News Detection -- Satirical News Detection with Semantic Feature Extraction and Game-theoretic Rough Sets -- Deep Learning and Embeddings -- Comparing state-of-the-art neural network ensemble methods in soccer predictions -- Static Music Emotion Recognition Using Recurrent Neural Networks -- Saliency detection in hyperspectral images using autoencoder-based data reconstruction -- Mesoscale Anisotropically-Connected Learning -- Empirical Comparison of Graph Embeddings for Trust-Based Collaborative Filtering -- Neural spike sorting using unsupervised adversarial learning -- Digital Signal Processing -- Poriferal Vision: Classifying benthic sponge spicules to assess historical impacts of marine climate change -- Experimental Evaluation of GAN-Based One-Class Anomaly Detection on Office Monitoring -- Ranking Speech Features for their Usage in Singing Classification -- Leveraging Machine Learning in IoT to predict the trustworthiness of Mobile Crowd Sensing data -- A Hierarchical-Based Web-Platform for Crowdsourcing Distinguishable Image Patches -- Performing Arithmetic Using a Neural Network Trained on Digit Permutation Pairs -- Modelling and Reasoning -- CatIO - Framework for Model Based Diagnosis of Cyber-Physical Systems -- Data Publishing: Availibility of data under Security Policies – Preliminary work -- Matrix Factorization based Heuristics Learning for Solving Constraint Satisfaction Problems -- Explaining object motion using answer set programming -- The GraphBRAIN System for Knowledge Graph Management and Advanced Fruition -- Mining Exceptional Mediation Models -- Machine Learning Applications -- Multivariate predictive clustering trees for classification -- Comparison of Machine Learning Methods to Detect Anomalies in the Activity of Dairy Cows -- Clustering Algorithm Consistency in Fixed Dimensional Spaces -- Estimating the Importance of Relational Features by using Gradient Boosting -- Multi-objective Discrete Moth-Flame Optimization for Complex Network Clustering -- Predicting associations between proteins and multiple diseases -- Short Papers -- Exploiting Answer Set Programming for Building Explainable Recommendations -- Tailoring Random Forest for Requirements Classification -- On the Design of a Natural Logic System for Knowledge Bases -- Evaluation of post-hoc XAI approaches through synthetic tabular data -- SimLoss: Class Similarities in Cross Entropy -- Efficient and Precise Classification of CT Scannings of Renal Tumors using Convolutional Neural Networks -- Deep Autoencoder Ensembles for Anomaly Detection on Blockchain -- A Parallelized Variant of Junker's QUICKXPLAIN Algorithm. |
| En línea: |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
| Link: |
https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i |
25th International Symposium, ISMIS 2020, Graz, Austria, September 23–25, 2020, Proceedings [documento electrónico] / Helic, Denis, ; Leitner, Gerhard, ; Stettinger, Martin, ; Felfernig, Alexander, ; Ras, Zbigniew W., . - 1 ed. . - [s.l.] : Springer, 2020 . - XXVII, 470 p. 171 ilustraciones, 93 ilustraciones en color. ISBN : 978-3-030-59491-6 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
| Palabras clave: |
Inteligencia artificial Software de la aplicacion Procesamiento de datos Ciencias sociales Visión por computador Aplicaciones informáticas y de sistemas de información Minería de datos y descubrimiento de conocimientos Aplicación informática en ciencias sociales y del comportamiento |
| Índice Dewey: |
006.3 Inteligencia artificial |
| Resumen: |
Este libro constituye las actas del 25º Simposio Internacional sobre Fundamentos de Sistemas Inteligentes, ISMIS 2020, celebrado en Graz, Austria, en octubre de 2020. La conferencia se llevó a cabo virtualmente debido a la pandemia de COVID-19. Los 35 artículos completos y 8 artículos breves presentados en este volumen fueron cuidadosamente revisados y seleccionados entre 79 presentaciones. También se incluye una charla invitada. Los artículos tratan temas como el procesamiento del lenguaje natural; aprendizaje profundo e incorporaciones; procesamiento de señales digitales; modelado y razonamiento; y aplicaciones de aprendizaje automático. |
| Nota de contenido: |
Invited Talks -- Complementing Behavioural Modeling with Cognitive Modeling for Better Recommendations -- Nominees for Best Paper Award -- The Construction of Action Rules to Raise Artwork Prices -- Metric-Guided Multi-Task Learning -- Sentiment Analysis with Contextual Embeddings and Self-Attention -- Nominees for Best Student Paper Award -- Interpretable Segmentation of Medical Free-Text Records Based on Word Embeddings -- Decision-Making with Probabilistic Reasoning in Engineering Design -- Hyperbolic embeddings for hierarchical multi-label classification -- Natural Language Processing -- Joint Multiclass Debiasing of Word Embeddings -- Recursive Neural Text Classification using Discourse Tree Structure for Argumentation Mining and Sentiment Analysis Tasks -- Named Entity Recommendations to Enhance Multilingual Retrieval in Europeana.eu -- A Deep Learning Approach to Fake News Detection -- Satirical News Detection with Semantic Feature Extraction and Game-theoretic Rough Sets -- Deep Learning and Embeddings -- Comparing state-of-the-art neural network ensemble methods in soccer predictions -- Static Music Emotion Recognition Using Recurrent Neural Networks -- Saliency detection in hyperspectral images using autoencoder-based data reconstruction -- Mesoscale Anisotropically-Connected Learning -- Empirical Comparison of Graph Embeddings for Trust-Based Collaborative Filtering -- Neural spike sorting using unsupervised adversarial learning -- Digital Signal Processing -- Poriferal Vision: Classifying benthic sponge spicules to assess historical impacts of marine climate change -- Experimental Evaluation of GAN-Based One-Class Anomaly Detection on Office Monitoring -- Ranking Speech Features for their Usage in Singing Classification -- Leveraging Machine Learning in IoT to predict the trustworthiness of Mobile Crowd Sensing data -- A Hierarchical-Based Web-Platform for Crowdsourcing Distinguishable Image Patches -- Performing Arithmetic Using a Neural Network Trained on Digit Permutation Pairs -- Modelling and Reasoning -- CatIO - Framework for Model Based Diagnosis of Cyber-Physical Systems -- Data Publishing: Availibility of data under Security Policies – Preliminary work -- Matrix Factorization based Heuristics Learning for Solving Constraint Satisfaction Problems -- Explaining object motion using answer set programming -- The GraphBRAIN System for Knowledge Graph Management and Advanced Fruition -- Mining Exceptional Mediation Models -- Machine Learning Applications -- Multivariate predictive clustering trees for classification -- Comparison of Machine Learning Methods to Detect Anomalies in the Activity of Dairy Cows -- Clustering Algorithm Consistency in Fixed Dimensional Spaces -- Estimating the Importance of Relational Features by using Gradient Boosting -- Multi-objective Discrete Moth-Flame Optimization for Complex Network Clustering -- Predicting associations between proteins and multiple diseases -- Short Papers -- Exploiting Answer Set Programming for Building Explainable Recommendations -- Tailoring Random Forest for Requirements Classification -- On the Design of a Natural Logic System for Knowledge Bases -- Evaluation of post-hoc XAI approaches through synthetic tabular data -- SimLoss: Class Similarities in Cross Entropy -- Efficient and Precise Classification of CT Scannings of Renal Tumors using Convolutional Neural Networks -- Deep Autoencoder Ensembles for Anomaly Detection on Blockchain -- A Parallelized Variant of Junker's QUICKXPLAIN Algorithm. |
| En línea: |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
| Link: |
https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i |
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