Foundations of Intelligent Systems : 25th International Symposium, ISMIS 2020, Graz, Austria, September 23-25, 2020, Proceedings / edited by Denis Helic, Gerhard Leitner, Martin Stettinger, Alexander Felfernig, Zbigniew W. Raś.

Format:

Book

Contributor:

Helic, Denis, Editor.

Leitner, Gerhard, Editor.

Stettinger, Martin., Editor.

Felfernig, Alexander, Editor.

Raś, Zbigniew W., Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 12117

Lecture Notes in Artificial Intelligence, 2945-9141 ; 12117

Language:

English

Subjects (All):

Artificial intelligence.

Application software.

Data mining.

Social sciences-Data processing.

Computer vision.

Artificial Intelligence.

Computer and Information Systems Applications.

Data Mining and Knowledge Discovery.

Computer Application in Social and Behavioral Sciences.

Computer Vision.

Local Subjects:

Artificial Intelligence.

Computer and Information Systems Applications.

Data Mining and Knowledge Discovery.

Computer Application in Social and Behavioral Sciences.

Computer Vision.

Physical Description:

1 online resource (XXVII, 470 pages) : 171 illustrations, 93 illustrations in color.

Edition:

1st ed. 2020.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2020.

System Details:

text file PDF

Summary:

This book constitutes the proceedings of the 25th International Symposium on Foundations of Intelligent Systems, ISMIS 2020, held in Graz, Austria, in October 2020. The conference was held virtually due to the COVID-19 pandemic. The 35 full and 8 short papers presented in this volume were carefully reviewed and selected from 79 submissions. Included is also one invited talk. The papers deal with topics such as natural language processing; deep learning and embeddings; digital signal processing; modelling and reasoning; and machine learning applications.

Contents:

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.

Other Format:

Printed edition:

ISBN:

978-3-030-59491-6

9783030594916

Access Restriction:

Restricted for use by site license.