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   Articles with "feature engineering" as a keyword



Bibliometric-enhanced information retrieval: a novel deep feature engineering approach for algorithm searching from full-text publications

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recommendations! 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

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recommendations! 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
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Residue Adjacency Matrix Based Feature Engineering for Predicting Cysteine Reactivity in Proteins

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recommendations! 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
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LSTM Response Models for Direct Marketing Analytics: Replacing Feature Engineering with Deep Learning

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recommendations! 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

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recommendations! 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

A data driven approach to urban area delineation using multi source geospatial data

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recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-93366-x

Abstract: This study introduces a data-driven, bottom-up approach to urban delineation, integrating feature engineering with the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm, which represents a significant improvement in precision and methodology compared to… read more here.

Keywords: delineation; feature engineering; driven approach; data driven ... See more keywords

Enhancing geospatial prediction models with feature engineering from road networks: a graph-driven approach

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recommendations! Published in 2024 at "International Journal of Geographical Information Science"

DOI: 10.1080/13658816.2024.2348740

Abstract: Abstract Traditional geospatial predictive models for property valuation have naturally relied on coordinates as well as ‘hedonic’ (internal and external) features. In particular, location-centric methods such as Geographically Weighted Regression (GWR) and Kriging have focused… read more here.

Keywords: enhancing geospatial; road; feature engineering; geospatial prediction ... See more keywords

BioAutoML: automated feature engineering and metalearning to predict noncoding RNAs in bacteria

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recommendations! 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

Predicting explainable dementia types with LLM-aided feature engineering

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recommendations! Published in 2025 at "Bioinformatics"

DOI: 10.1093/bioinformatics/btaf156

Abstract: Abstract Motivation The integration of Machine Learning and Artificial Intelligence (AI) into healthcare has immense potential due to the rapidly growing volume of clinical data. However, existing AI models, particularly Large Language Models (LLMs) like… read more here.

Keywords: dementia; feature engineering; llm aided; feature ... See more keywords

Improving Activity Recognition Accuracy in Ambient-Assisted Living Systems by Automated Feature Engineering

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recommendations! 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

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recommendations! 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