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PKDD/ECML 2022: Grenoble, France - Workshops
- Irena Koprinska
, Paolo Mignone, Riccardo Guidotti
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. Communications in Computer and Information Science 1753, Springer 2023, ISBN 978-3-031-23632-7
Workshop on Mining Data for Financial Application (MIDAS 2022)
- Syrielle Montariol, Matej Martinc, Andraz Pelicon, Senja Pollak, Boshko Koloski, Igor Loncarski, Aljosa Valentincic, Katarina Sitar Sustar, Riste Ichev, Martin Znidarsic:
Multi-task Learning for Features Extraction in Financial Annual Reports. 7-24 - Argimiro Arratia
What to Do with Your Sentiments in Finance. 25-37 - Sergio Consoli
On the Development of a European Tracker of Societal Issues and Economic Activities Using Alternative Data. 38-43 - Klismam Pereira
Privacy-Preserving Machine Learning in Life Insurance Risk Prediction. 44-52 - Niken Prasasti Martono
Financial Distress Model Prediction Using Machine Learning: A Case Study on Indonesia's Consumers Cyclical Companies. 53-61 - Stefano Piersanti:
Improve Default Prediction in Highly Unbalanced Context. 62-78 - Julian Tritscher, Daniel Schlör, Fabian Gwinner, Anna Krause, Andreas Hotho:
Towards Explainable Occupational Fraud Detection. 79-96 - Thomas Dierckx
Towards Data-Driven Volatility Modeling with Variational Autoencoders. 97-111 - Braulio C. Blanco Lambruschini
Auto-clustering of Financial Reports Based on Formatting Style and Author's Fingerprint. 112-127 - Sravani Sasubilli, Mridula Verma
InFi-BERT 1.0: Transformer-Based Language Model for Indian Financial Volatility Prediction. 128-138
Workshop on Machine Learning for Cybersecurity (MLCS 2022)
- Tina Yazdizadeh, Shabnam Hassani, Paula Branco
Intrusion Detection Using Ensemble Models. 143-158 - Zahra Taghiyarrenani, Hamed Farsi:
Domain Adaptation with Maximum Margin Criterion with Application to Network Traffic Classification. 159-169 - Katarzyna Wasielewska
Evaluation of the Limit of Detection in Network Dataset Quality Assessment with PerQoDA. 170-185 - Tommaso Zoppi
Towards a General Model for Intrusion Detection: An Exploratory Study. 186-201
Workshop on Machine Learning for Buildings Energy Management (MLBEM 2022)
- Mohamed Alami Chehboune
Conv-NILM-Net, a Causal and Multi-appliance Model for Energy Source Separation. 207-222 - Paul Compagnon, Aurore Lomet, Marina Reyboz, Martial Mermillod:
Domestic Hot Water Forecasting for Individual Housing with Deep Learning. 223-235
Workshop on Machine Learning for Pharma and Healthcare Applications (PharML 2022)
- Ylenia Rotalinti, Allan Tucker
Detecting Drift in Healthcare AI Models Based on Data Availability. 243-258 - Damir Zhakparov, Kathleen Moriarty, Nonhlanhla Lunjani, Marco Schmid, Carol Hlela, Michael Levin
Assessing Different Feature Selection Methods Applied to a Bulk RNA Sequencing Dataset with Regard to Biomedical Relevance. 259-274 - Linyi Zhou, Ioanna Miliou
Predicting Drug Treatment for Hospitalized Patients with Heart Failure. 275-290 - Franco Rugolon
A Workflow for Generating Patient Counterfactuals in Lung Transplant Recipients. 291-306 - Keyuan Jiang
Few-Shot Learning for Identification of COVID-19 Symptoms Using Generative Pre-trained Transformer Language Models. 307-316 - Rohan Banerjee, Avik Ghose:
A Light-Weight Deep Residual Network for Classification of Abnormal Heart Rhythms on Tiny Devices. 317-331
Workshop on Data Analysis in Life Science (DALS 2022)
- Sina Baharlouei, Meisam Razaviyayn, Elizabeth Tseng, David Tse:
I-CONVEX: Fast and Accurate de Novo Transcriptome Recovery from Long Reads. 339-363 - Cynthia Ifeyinwa Ugwu
Italian Debate on Measles Vaccination: How Twitter Data Highlight Communities and Polarity. 364-375
3rd Workshop and Tutorial on Streams for Predictive Maintenance (IoT-PdM 2022)
- Rita P. Ribeiro
Online Anomaly Explanation: A Case Study on Predictive Maintenance. 383-399 - Narjes Davari
Fault Forecasting Using Data-Driven Modeling: A Case Study for Metro do Porto Data Set. 400-409 - Emanuel Sousa Tomé
An Online Data-Driven Predictive Maintenance Approach for Railway Switches. 410-422 - Amirhossein Berenji
curr2vib: Modality Embedding Translation for Broken-Rotor Bar Detection. 423-437 - Yuantao Fan
Incorporating Physics-Based Models into Data Driven Approaches for Air Leak Detection in City Buses. 438-450 - Zahra Taghiyarrenani, Slawomir Nowaczyk
Towards Geometry-Preserving Domain Adaptation for Fault Identification. 451-460 - Samaneh Jamshidi
A Systematic Approach for Tracking the Evolution of XAI as a Field of Research. 461-476 - Richard Palme, Pascal Welke
Frequent Generalized Subgraph Mining via Graph Edit Distances. 477-483
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