Produktbild: Foundations of Intelligent Systems
Band 13515

Foundations of Intelligent Systems 26th International Symposium, ISMIS 2022, Cosenza, Italy, October 3–5, 2022, Proceedings

48,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Lieferung nach Hause

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

09.09.2022

Herausgeber

Michelangelo Ceci + weitere

Verlag

Springer

Seitenzahl

488

Maße (L/B/H)

23,5/15,5/2,8 cm

Gewicht

762 g

Auflage

1st edition 2022

Sprache

Englisch

ISBN

978-3-031-16563-4

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

09.09.2022

Herausgeber

Verlag

Springer

Seitenzahl

488

Maße (L/B/H)

23,5/15,5/2,8 cm

Gewicht

762 g

Auflage

1st edition 2022

Sprache

Englisch

ISBN

978-3-031-16563-4

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)

  • Produktbild: Foundations of Intelligent Systems
  • ¿Social Media and Recommendation.- Granular Emotion Detection in Social Media Using Multi-Discipline

    Ensembles.- Sentiment Polarity and Emotion Detection from Tweets Using Distant Supervision and Deep Learning Models.- Disruptive Event Identification in Online Social Network.- Modeling Polarization on Social Media Posts: A Heuristic Approach Using Media Bias.- Sarcasm detection in Tunisian social media comments: Case of COVID-19.- Multimodal Deep Learning and Fast Retrieval for Recommendation.-  Natural Language Processing.- Mining news articles dealing with Food Security.- Identification of Paragraph Regularities in Legal Judgements through Clustering and Textual Embedding.- Aspect term extraction improvement based on a hybrid method.- Exploring the Impact of Gender Bias Mitigation Approaches on a Downstream Classification Task.- A semi-automatic data generator for Query Answering.-  Explainability,.- XAI to explore robustness of features in adversarial training for cybersecurity.- Impact of Feedback Type on Explanatory Interactive Learning.- Learning and Explanation of Extreme Multi-Label Deep Classification Models for Media Content.- An Interpretable Machine Learning Approach to Prioritizing Factors Contributing to Clinician Burnout.- A general-purpose method for applying Explainable AI for Anomaly Detection.- More Sanity Checks for Saliency Maps.-  Intelligent Systems.- Deep Reinforcement Learning for Automated Stock Trading: Inclusion of Short Selling.- Scaling Posterior Distributions over Differently-Curated Datasets: A Bayesian-Neural-Networks Methodology.- Ensembling Sparse Autoencoders for Network Covert Channel Detection in IoT Ecosystems.- Towards Automation of Pollen Monitoring: Image-Based Tree Pollen Recognition.- Rough Sets for Intelligence on Embedded Systems.- Context as a Distance Function in ConSQL.-  Classification and Clustering.- Detecting Anomalies with LatentOut: Novel Scores, Architectures, and Settings.- Richness Fallacy.- Adapting loss functions to learning progress improves accuracy of classification in neural networks.- Multiscale and multivariate time series clustering: A new approach.- Improve Calibration Robustness of Temperature Scaling by Penalizing Output Entropy.- Understanding Negative Calibration from Entropy Perspective.- A New Clustering Preserving Transformation for $k$-Means Algorithm Output.- Complex Data.- A Transformer-Based Framework for Geomagnetic Activity Prediction.- AS-SIM: an approach to Action-State Process Model Discovery.- Combining Active Learning and Fast DNN Ensembles for Process Deviance Discovery.- Temporal Graph-based CNNs (TG-CNNs) for Online Course Dropout Prediction.- Graph Convolutional Networks Using Node Addition and Edge Reweighting.- Audio Super-Resolution via Vision Transformer.- Similarity embedded temporal Transformers: Enhancing stock predictions with historically similar trends.- Investigating noise interference on speech towards applying the Lombard effect automatically.-  Medical Applications.- Towards Polynomial Adaptive Local Explanations for Healthcare Classifiers.- Towards Tailored Intervention in Medicine Using Patients' Segmentation.- Application of association rules to classify IBD patients.- Unsupervised Learning Based Rule Generating System with Temporal Features Extractions Tuned for Tinnitus Retraining Therapy.-  Industrial Applications.- TrueDetective 4.0: a Big data architetture for real time anomaly detection.- Optimising the Machine Translation Workflow: Analysis, Development, Benchmarking, Testing and Maintenance.- Classification vs Recommendation methods for Therapeutics Recommendation.- Document LayoutAnalysis with Variational Autoencoders : an Industrial Application.