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 II / Irena Koprinska, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Fröning, Francesco Gullo, Pedro M. Ferreira, Damian Roqueiro et al. (eds.).

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 Sequencing Dataset 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. .