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Herausgeber: 
  • Lee Cooper
  • Ricard Gavaldà
  • Albert Bifet
  • João Gama
  • Rita Ribeiro
  • Giovanni Ponti
  • Przemyslaw Biecek
  • Annalisa Appice
  • Ettore Ritacco
  • Elio Masciari
  • Zbigniew Ras
  • Wouter Verbeke
  • Pedro M. Ferreira
  • Gregor Schiele
  • Ilaria Bordino
  • Riccardo Guidotti
  • Francesco Gullo
  • Irena Koprinska
  • Slawomir Nowaczyk
  • Sepideh Pashami
  • Michaela Blott
  • Holger Fröning
  • Franz Pernkopf
  • Lorenzo Severini
  • Ibéria Medeiros
  • Guilherme Graça
  • Giuseppina Andresini
  • Naghmeh Ghazaleh
  • Jonas Richiardi
  • Damian Roqueiro
  • Konstantinos Sechidis
  • Francesca Naretto
  • Andreas Theissler
  • Ivan Luciano Danesi
  • Diego Saldana
  • Arif Canakoglu
  • Sara Pido
  • Pietro Pinoli
  • Szymon Jaroszewicz
  • Paolo Mignone
  • Gaia Ceddia
  • Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2022, Grenoble, France, Septemb 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 5-10 Tagen versandfertig
    Veröffentlichung:  Januar 2023  
    Genre:  EDV / Informatik 
     
    ArtificialIntelligence / classificationmethods / Computer-Anwendungen in den Sozial- und Verhaltenswissenschaften / computercrime / ComputerNetworks / computersecurity / Computervision / correlationanalysis
    ISBN:  9783031236327 
    EAN-Code: 
    9783031236327 
    Verlag:  Springer 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D 28 mm 
    Gewicht:  762 gr 
    Seiten:  508 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    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 activities using alternative data.- Privacy-preserving machine learning in life insurance risk prediction.- Financial Distress Model Prediction using Machine Learning: A Case Study on Indonesia's Consumers Cyclical Companies.- Improve default prediction in highly unbalanced context.- Towards Explainable Occupational Fraud Detection.- Towards Data-Driven Volatility Modeling with Variational Autoencoders.- Auto-Clustering of Financial Reports Based on Formatting Style and Author's Fingerprint.- InFi-BERT 1.0: Transformer-based language model for Indian Financial Volatility Prediction.- Workshop on Machine Learning for Cybersecurity (MLCS 2022).- Preface from the workshop organisers.- Intrusion Detection using Ensemble Models.- Domain Adaptation with Maximum Margin Criterion with application to network traffic classification.- Evaluation of Detection Limit in Network Dataset Quality Assessment with Permutation Testing.- Towards a General Model for Intrusion Detection: An Exploratory Study.- Workshop on Machine Learning for Buildings Energy Management (MLBEM 2022).- Preface from the workshop organisers.- Conv-NILM-Net, a causal and multi-appliance model for energy source separation.- Domestic Hot Water Forecasting for Individual Housing with Deep Learning.- Workshop on Machine Learning for Pharma and Healthcare Applications (PharML 2022).- Preface from the workshop organisers.- Detecting Drift in Healthcare AI Models based on Data Availability.- Assessing Different Feature Selection Methods applied to a bulk RNA SequencingDataset with regard to Biomedical Relevance.- Predicting Drug Treatment for Hospitalized Patients with Heart Failure.- A Workflow for Generating Patient Counterfactuals in Lung Transplant Recipients.- Few-Shot Learning for Identification of COVID-19 Symptoms Using Generative Pre-Trained Transformer Language Models.- A Light-weight Deep Residual Network for Classification of Abnormal Heart Rhythms on Tiny Devices.- Workshop on Data Analysis in Life Science (DALS 2022).- Preface from the workshop organisers.- I-CONVEX: Fast and Accurate de Novo Transcriptome Recovery from Long Reads.- Italian debate on measles vaccination: how Twitter data highlight communities and polarity.- Workshop on IoT Streams for Predictive Maintenance (IoT-PdM 2022).- Preface from the workshop organisers.- Online Anomaly Explanation: A Case Study on Predictive Maintenance.- Fault forecasting using data-driven system modeling:a case study for Metro do Porto data set.- An online data-driven predictive maintenance approach for railway switches.- curr2vib: Modality Embedding Translation for Broken-Rotor Bar Detection.- Incorporating Physics-based Models into Data-Driven Approaches for Air Leak Detection in City Buses.- Towards Geometry-Preserving Domain Adaptation for Fault Identification.- A systematic approach for tracking the evolution of XAI as a field of research.- Frequent Generalized Subgraph Mining via Graph Edit Distances.

      



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