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Effective Automatic Feature Engineering on Financial Statements for Bankruptcy Prediction

• Authors : WANG, Xin Lin; Kraussl, Zsofia; ZURAD, Maciej

Subjects: Automatic feature engineering; Bankruptcy prediction; Credit risk

• Source: Effective Automatic Feature Engineering on Financial Statements for Bankruptcy Prediction (2023-07-19); 2023 3rd International Conference

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Statistically Enhanced Learning: a feature engineering framework to boost (any) learning algorithms

• Authors : Felice, Florian; LEY, Christophe; Andreas Groll

Subjects: Physical; chemical; mathematical & earth Sciences

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Distilling Provider-Independent Data for General Detection of Non-Technical Losses

• Authors : Meira, Jorge Augusto; Glauner, Patrick; State, Radu

Subjects: Artificial intelligence; big data; electricity theft

• Source: Power and Energy Conference, Illinois 23-24 February 2017 (2017); Power and Energy Conference at Illinois 2017, from 23-02-2017 to 24-02-2017

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Neighborhood Features Help Detecting Non-Technical Losses in Big Data Sets

• Authors : Glauner, Patrick; Meira, Jorge Augusto; Dolberg, Lautaro

Subjects: Data mining; Electricity theft detection; Feature engineering

• Source: Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing Applications and Technologies (BDCAT 2016) (2016); 3rd IEEE/ACM International Conference on Big Data Computing

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Edge Computing enabled Intrusion Detection for C-V2X Networks using Federated Learning

• Authors : Selamnia, Aymene; Brik, Bouziane; Senouci, Sidi-Mohammed

Subjects: C-V2X; Intrusion detection system; Edge computing

• Source: The 2022 IEEE Global Communications Conference (GLOBECOM) (2022-12); The 2022 IEEE Global Communications Conference (GLOBECOM), 4-8 December 2022

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Edge Computing-enabled Intrusion Detection for C-V2X Networks using Federated Learning

• Authors : Selamnia, Aymene; Brik, Bouziane; Senouci, Sidi-Mohammed

Subjects: C-V2X; Intrusion detection system; Edge computing

• Source: The 2022 IEEE Global Communications Conference (GLOBECOM) (2022-12); The 2022 IEEE Global Communications Conference (GLOBECOM), 4-8 December 2022.

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Android Malware Detection: Looking beyond Dalvik Bytecode

• Authors : SUN, Tiezhu; DAOUDI, Nadia; ALLIX, Kevin

Subjects: Android; Malware detection; Deep Learning

• Source: 2021 36th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW) (2021-11-15); The 4th International Workshop on Advances in Mobile App

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Multi-objective Robust Machine Learning For Critical Systems With Scarce Data

• Authors : Ghamizi, Salah; Le Traon, Yves

Subjects: Multi-objective; Robustness; Machine Learning

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