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Found 12 papers, 5 papers with code
Detecting Financial Bots on the Ethereum Blockchain
In this study, we present a novel approach that utilizes machine learning for the detection of financial bots on the Ethereum platform.
Assessing the Solvency of Virtual Asset Service Providers: Are Current Standards Sufficient?
In this paper, we propose an approach to assess the solvency of a VASP by cross-referencing data from three distinct sources: cryptoasset wallets, balance sheets from the commercial register, and data from supervisory entities.
Predictability and Comprehensibility in Post-Hoc XAI Methods: A User-Centered Analysis
Furthermore, we find that counterfactual explanations and misclassifications can significantly increase the users understanding of how a machine learning model is making decisions.
Autoencoder based Anomaly Detection and Explained Fault Localization in Industrial Cooling Systems
In this work, we present an autoencoder based end-to-end workflow for anomaly detection suitable for multivariate time series data in large industrial cooling systems, including explained fault localization and root cause analysis based on expert knowledge.
Machine Learning Methods for Health-Index Prediction in Coating Chambers
Our overall goal is to predict the future condition of the coating chamber to allow cost and quality optimized maintenance of the equipment.
Minimal-Configuration Anomaly Detection for IIoT Sensors
The increasing deployment of low-cost IoT sensor platforms in industry boosts the demand for anomaly detection solutions that fulfill two key requirements: minimal configuration effort and easy transferability across equipment.
GraphSense: A General-Purpose Cryptoasset Analytics Platform
There is currently an increasing demand for cryptoasset analysis tools among cryptoasset service providers, the financial industry in general, as well as across academic fields.
Cryptography and Security Computers and Society Social and Information Networks
Exploring investor behavior in Bitcoin: a study of the disposition effect
Investors commonly exhibit the disposition effect - the irrational tendency to sell their winning investments and hold onto their losing ones.
Identifying Historical Travelogues in Large Text Corpora Using Machine Learning
Travelogues represent an important and intensively studied source for scholars in the humanities, as they provide insights into people, cultures, and places of the past.
Digital Libraries
Spams meet Cryptocurrencies: Sextortion in the Bitcoin Ecosystem
We discover that one single entity is likely controlling the financial backbone of the majority of the sextortion campaigns and that the 11-month operation studied yielded a lower-bound revenue between \$1, 300, 620 and \$1, 352, 266.
Cryptography and Security
Predicting Time-to-Failure of Plasma Etching Equipment using Machine Learning
Predicting unscheduled breakdowns of plasma etching equipment can reduce maintenance costs and production losses in the semiconductor industry.
Finding Quality Issues in SKOS Vocabularies
The Simple Knowledge Organization System (SKOS) is a standard model for controlled vocabularies on the Web.
Digital Libraries Information Retrieval
