Foundations of Intelligent Systems

25th International Symposium, ISMIS 2020, Graz, Austria, September 23–25, 2020, Proceedings

AvDenis Helic,Gerhard Leitner

Häftad, Engelska, 2020

Del 12117 i serien Lecture Notes in Computer Science

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Beskrivning

This book constitutes the proceedings of the 25th International Symposium on Foundations of Intelligent Systems, ISMIS 2020, held in Graz, Austria, in October 2020.

Produktinformation

Utgivningsdatum:2020-09-17
Mått:155 x 235 x 27 mm
Vikt:750 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:470
Förlag:Springer Nature Switzerland AG
ISBN:9783030594909

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Databaser inom Data och IT
Artificiell intelligens inom Data och IT

Innehållsförteckning

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.