Machine learning and principles and practice of knowledge discovery in databases : International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, proceedings

Machine learning and principles and practice of knowledge discovery in databases International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, proceedings Part 2

Workshop on Mining Data for Financial Application (MIDAS 2022).- Preface from the workshop organisers.- Multi-Task Learning for Features Extraction in Financial Annual Reports.- What to do with your sentiments in finance.- On the development of a European tracker of societal issues and economic acti...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Körperschaft: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (VerfasserIn)
Weitere Verfasser: Koprinska, Irena (HerausgeberIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: Cham Springer 2023
Schriftenreihe:Communications in computer and information science 1753
Schlagworte:
COMPUTERS / Artificial Intelligence > COMPUTERS / Data Processing / General > COMPUTERS / Hardware / Network Hardware > COMPUTERS / Information Technology > Computer-Anwendungen in den Sozial- und Verhaltenswissenschaften > EDUCATION / Computers & Technology > Educational equipment & technology, computer-aided learning (CAL) > Information retrieval > Informationsrückgewinnung, Information Retrieval > Lehrmittel, Lerntechnologien, E-Learning > Machine learning > Maschinelles Lernen > Konferenzschrift > Maschinelles Sehen > Data Mining > Fuzzy-Menge > Bildanalyse > Information Retrieval
Online Zugang:Cover
Inhaltsverzeichnis
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Titel Jahr Verfasser
What to Do with Your Sentiments in Finance 2023 Arratia, Argimiro
Towards Data-Driven Volatility Modeling with Variational Autoencoders 2023 Dierckx, Thomas
InFi-BERT 1.0: Transformer-Based Language Model for Indian Financial Volatility Prediction 2023 Sasubilli, Sravani
Evaluation of the Limit of Detection in Network Dataset Quality Assessment with PerQoDA 2023 Wasielewska, Katarzyna
Domain Adaptation with Maximum Margin Criterion with Application to Network Traffic Classification 2023 Taghiyarrenani, Zahra
Predicting Drug Treatment for Hospitalized Patients with Heart Failure 2023 Zhou, Linyi
Fault Forecasting Using Data-Driven Modeling: A Case Study for Metro do Porto Data Set 2023 Davari, Narjes
curr2vib: Modality Embedding Translation for Broken-Rotor Bar Detection 2023 Berenji, Amirhossein
Privacy-Preserving Machine Learning in Life Insurance Risk Prediction 2023 Pereira, Klismam
Improve Default Prediction in Highly Unbalanced Context 2023 Piersanti, Stefano
Towards Explainable Occupational Fraud Detection 2023 Tritscher, Julian
Intrusion Detection Using Ensemble Models 2023 Yazdizadeh, Tina
Conv-NILM-Net, a Causal and Multi-appliance Model for Energy Source Separation 2023 Alami, Mohamed C.
Few-Shot Learning for Identification of COVID-19 Symptoms Using Generative Pre-trained Transformer Language Models 2023 Jiang, Keyuan
A Light-Weight Deep Residual Network for Classification of Abnormal Heart Rhythms on Tiny Devices 2023 Banerjee, Rohan
Italian Debate on Measles Vaccination: How Twitter Data Highlight Communities and Polarity 2023 Ugwu, Cynthia Ifeyinwa
An Online Data-Driven Predictive Maintenance Approach for Railway Switches 2023 Tomé, Emanuel Sousa
Towards Geometry-Preserving Domain Adaptation for Fault Identification 2023 Taghiyarrenani, Zahra
Frequent Generalized Subgraph Mining via Graph Edit Distances 2023 Palme, Richard
On the Development of a European Tracker of Societal Issues and Economic Activities Using Alternative Data 2023 Consoli, Sergio
Alle Artikel auflisten