Bibliometric-enhanced information retrieval: a novel deep feature engineering approach for algorithm searching from full-text publications
Sign Up to like & getrecommendations! Published in 2019 at "Scientometrics"
DOI: 10.1007/s11192-019-03025-y
Abstract: Recently, tremendous advances have been observed in information retrieval systems designed to search for relevant knowledge in scientific publications. Although these techniques are quite powerful, there is still room for improvement in the area of… read more here.
Keywords: feature engineering; text; information retrieval; full text ... See more keywords
A practical feature-engineering framework for electricity theft detection in smart grids
Sign Up to like & getrecommendations! Published in 2019 at "Applied Energy"
DOI: 10.1016/j.apenergy.2019.01.076
Abstract: Despite many potential advantages, Advanced Metering Infrastructures have introduced new ways to falsify meter readings and commit electricity theft. This study contributes a new model-agnostic, feature-engineering framework for theft detection in smart grids. The framework… read more here.
Keywords: electricity theft; theft detection; framework; detection ... See more keywords
Residue Adjacency Matrix Based Feature Engineering for Predicting Cysteine Reactivity in Proteins
Sign Up to like & getrecommendations! Published in 2019 at "Computational and Structural Biotechnology Journal"
DOI: 10.1016/j.csbj.2018.12.005
Abstract: Free radicals that form from reactive species of nitrogen and oxygen can react dangerously with cellular components and are involved with the pathogenesis of diabetes, cancer, Parkinson's, and heart disease. Cysteine amino acids, due to… read more here.
Keywords: feature; matrix based; adjacency matrix; residue adjacency ... See more keywords
LSTM Response Models for Direct Marketing Analytics: Replacing Feature Engineering with Deep Learning
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Interactive Marketing"
DOI: 10.1016/j.intmar.2020.07.002
Abstract: Abstract In predictive modeling, firms often deal with high-dimensional data that span multiple channels, websites, demographics, purchase types, and product categories. Traditional customer response models rely heavily on feature engineering, and their performance depends on… read more here.
Keywords: feature engineering; direct marketing; marketing; response models ... See more keywords
Feature-based Supervision of Shear Cutting Processes on the Basis of Force Measurements: Evaluation of Feature Engineering and Feature Extraction
Sign Up to like & getrecommendations! Published in 2019 at "Procedia Manufacturing"
DOI: 10.1016/j.promfg.2019.06.164
Abstract: Abstract Facing the increasing amount of available data, supervision of processes is experiencing a vast upheaval. Especially time series recorded during high-speed manufacturing processes like shear-cutting challenge the interpretation of the data. This work shows… read more here.
Keywords: feature extraction; force; feature; shear cutting ... See more keywords
BioAutoML: automated feature engineering and metalearning to predict noncoding RNAs in bacteria
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in Bioinformatics"
DOI: 10.1093/bib/bbac218
Abstract: Abstract Recent technological advances have led to an exponential expansion of biological sequence data and extraction of meaningful information through Machine Learning (ML) algorithms. This knowledge has improved the understanding of mechanisms related to several… read more here.
Keywords: feature; noncoding rnas; feature engineering; automated feature ... See more keywords
Improving Activity Recognition Accuracy in Ambient-Assisted Living Systems by Automated Feature Engineering
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Access"
DOI: 10.1109/access.2017.2684913
Abstract: Ambient-assisted living (AAL) is promising to become a supplement of the current care models, providing enhanced living experience to people within context-aware homes and smart environments. Activity recognition based on sensory data in AAL systems… read more here.
Keywords: ambient assisted; feature; assisted living; feature engineering ... See more keywords
Featureless Discovery of Correlated and False Intrusion Alerts
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3001374
Abstract: Malware and cyber-attacks cause substantial damage to corporations. A common countermeasure is Intrusion Detection Systems (IDSs). Unfortunately, IDSs typically raise many alerts on a single incident, with redundant information, and false alerts that are only… read more here.
Keywords: discovery correlated; feature; featureless discovery; intrusion ... See more keywords
The Answer is in the Text: Multi-Stage Methods for Phishing Detection Based on Feature Engineering
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3043396
Abstract: A phishing attack is a threat based on fraudulent communication, usually by e-mail, where the cybercriminals, impersonating a trusted person or organization, try to lure and coax a target. Phishing detection approaches that obtain highly… read more here.
Keywords: phishing detection; feature engineering; stage; multi stage ... See more keywords
Feature Engineering and Artificial Intelligence-Supported Approaches Used for Electric Powertrain Fault Diagnosis: A Review
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3157820
Abstract: Electric powertrain is constituted by electric machine transmission unit, inverter and battery packs, etc., is a highly-integrated system. Its reliability and safety are not only related to industrial costs, but more importantly to the safety… read more here.
Keywords: feature engineering; artificial intelligence; electric powertrain; feature ... See more keywords
Scalable and Unsupervised Feature Engineering Using Vibration-Imaging and Deep Learning for Rotor System Diagnosis
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2017.2752151
Abstract: This paper proposes a scalable and unsupervised feature engineering method that uses vibration imaging and deep learning. For scalability, a vibration imaging approach is devised that incorporates data from systems with various scales, such as… read more here.
Keywords: system; feature; vibration imaging; feature engineering ... See more keywords