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Foundations of intelligent systems : 25th International Symposium, ISMIS 2020 : Graz, Austria, September 23-25, 2020 : proceedings / / Denis Helic [and four others] (editors)
Foundations of intelligent systems : 25th International Symposium, ISMIS 2020 : Graz, Austria, September 23-25, 2020 : proceedings / / Denis Helic [and four others] (editors)
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2020]
Descrizione fisica 1 online resource (XXVII, 470 p. 171 illus., 93 illus. in color.)
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Application software
Data mining
ISBN 3-030-59491-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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.
Record Nr. UNISA-996418313503316
Cham, Switzerland : , : Springer, , [2020]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Foundations of intelligent systems : 25th International Symposium, ISMIS 2020 : Graz, Austria, September 23-25, 2020 : proceedings / / Denis Helic [and four others] (editors)
Foundations of intelligent systems : 25th International Symposium, ISMIS 2020 : Graz, Austria, September 23-25, 2020 : proceedings / / Denis Helic [and four others] (editors)
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2020]
Descrizione fisica 1 online resource (XXVII, 470 p. 171 illus., 93 illus. in color.)
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Application software
Data mining
ISBN 3-030-59491-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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.
Record Nr. UNINA-9910427714703321
Cham, Switzerland : , : Springer, , [2020]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Modeling and Mining Ubiquitous Social Media [[electronic resource] ] : International Workshops MSM 2011, Boston, MA, USA, October 9, 2011, and MUSE 2011, Athens, Greece, September 5, 2011, Revised Selected Papers / / edited by Martin Atzmueller, Alvin Chin, Denis Helic, Andreas Hotho
Modeling and Mining Ubiquitous Social Media [[electronic resource] ] : International Workshops MSM 2011, Boston, MA, USA, October 9, 2011, and MUSE 2011, Athens, Greece, September 5, 2011, Revised Selected Papers / / edited by Martin Atzmueller, Alvin Chin, Denis Helic, Andreas Hotho
Edizione [1st ed. 2012.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012
Descrizione fisica 1 online resource (XII, 183 p. 57 illus.)
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
User interfaces (Computer systems)
Data mining
Information storage and retrieval
Architecture, Computer
Computers and civilization
Artificial Intelligence
User Interfaces and Human Computer Interaction
Data Mining and Knowledge Discovery
Information Storage and Retrieval
Computer System Implementation
Computers and Society
ISBN 3-642-33684-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Integrating Social Media Data for Community Detection -- Face-to-Face Contacts at a Conference: Dynamics of Communities and Roles -- Factors Influencing the Co-evolution of Social and Content Networks in Online Social Media -- Mining Dense Structures to Uncover Anomalous Behaviour in Financial Network Data -- Describing Locations Using Tags and Images: Explorative Pattern Mining in Social Media -- Learning and Transferring Geographically Weighted Regression Trees across Time -- Trend Cluster Based Kriging Interpolation in Sensor Data Networks -- Simulation of User Participation and Interaction in Online Discussion Groups -- Model-Driven Privacy and Security in Multi-modal Social Media UIs.
Record Nr. UNISA-996465763603316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Ubiquitous Social Media Analysis [[electronic resource] ] : Third International Workshops MUSE 2012, Bristol, UK, September 24, 2012, and MSM 2012, Milwaukee, WI, USA, June 25, 2012, Revised Selected Papers / / edited by Martin Atzmueller, Alvin Chin, Denis Helic, Andreas Hotho
Ubiquitous Social Media Analysis [[electronic resource] ] : Third International Workshops MUSE 2012, Bristol, UK, September 24, 2012, and MSM 2012, Milwaukee, WI, USA, June 25, 2012, Revised Selected Papers / / edited by Martin Atzmueller, Alvin Chin, Denis Helic, Andreas Hotho
Edizione [1st ed. 2013.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Descrizione fisica 1 online resource (XII, 173 p. 51 illus.)
Disciplina 006.7
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Information storage and retrieval
Data mining
Computer science—Mathematics
Artificial intelligence
Information Storage and Retrieval
Data Mining and Knowledge Discovery
Discrete Mathematics in Computer Science
Artificial Intelligence
ISBN 3-642-45392-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto How to Carve up the World: Learning and Collaboration for Structure Recommendation -- A Topological Approach for Detecting Twitter Communities with Common Interests -- Using Geographic Cost Functions to Discover Vessel Itineraries from AIS Messages -- Social Media as a Source of Sensing to Study City Dynamics and Urban Social Behavior: Approaches, Models and Opportunities -- An Analysis of Interactions within and between Extreme Right Communities in Social Media -- Who will Interact with Whom? A Case-Study in Second Life Using Online Social Network and Location-Based Social Network Features to Predict Interactions between Users -- Identifying Influential Users by Their Postings in Social Networks -- Modeling a Web Forum Ecosystem into an Enriched Social Graph.
Record Nr. UNISA-996465519503316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Ubiquitous Social Media Analysis : Third International Workshops MUSE 2012, Bristol, UK, September 24, 2012, and MSM 2012, Milwaukee, WI, USA, June 25, 2012, Revised Selected Papers / / edited by Martin Atzmueller, Alvin Chin, Denis Helic, Andreas Hotho
Ubiquitous Social Media Analysis : Third International Workshops MUSE 2012, Bristol, UK, September 24, 2012, and MSM 2012, Milwaukee, WI, USA, June 25, 2012, Revised Selected Papers / / edited by Martin Atzmueller, Alvin Chin, Denis Helic, Andreas Hotho
Edizione [1st ed. 2013.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Descrizione fisica 1 online resource (XII, 173 p. 51 illus.)
Disciplina 006.7
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Information storage and retrieval
Data mining
Computer science—Mathematics
Artificial intelligence
Information Storage and Retrieval
Data Mining and Knowledge Discovery
Discrete Mathematics in Computer Science
Artificial Intelligence
ISBN 3-642-45392-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto How to Carve up the World: Learning and Collaboration for Structure Recommendation -- A Topological Approach for Detecting Twitter Communities with Common Interests -- Using Geographic Cost Functions to Discover Vessel Itineraries from AIS Messages -- Social Media as a Source of Sensing to Study City Dynamics and Urban Social Behavior: Approaches, Models and Opportunities -- An Analysis of Interactions within and between Extreme Right Communities in Social Media -- Who will Interact with Whom? A Case-Study in Second Life Using Online Social Network and Location-Based Social Network Features to Predict Interactions between Users -- Identifying Influential Users by Their Postings in Social Networks -- Modeling a Web Forum Ecosystem into an Enriched Social Graph.
Record Nr. UNINA-9910485002503321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui