a public good project by the
Synthesis
Company
of California

© 2026

Classifying smoking urges via machine learning | doi.page

0 citations0 references

Google Scholar doi.org

Classifying smoking urges via machine learning

Computer Methods and Programs in Biomedicine·2016·Vol. 137, pp. 203–213

Citations Over TimeTop 15% of 2016 papers

Antoine Dumortier, Ellen Beckjord, Saul Shiffman, Ervin Sejdić

Related Papers

→ Discrimination of Apples Using Near Infrared Spectroscopy and Sorting Discriminant Analysis(2015)27 cited
→ An Approach to Classify Eligibility Blood Donors Using Decision Tree and Naive Bayes Classifier(2018)25 cited
→ Analisis Perbandingan Algoritma Decision Tree (C4.5) Dan K-Naive Bayes Untuk Mengklasifikasi Penerimaan Mahasiswa Baru Tingkat Universitas(2017)3 cited
→ PERBANDINGAN METODE DECISION TREE DAN NAIVE BAYES CLASSIFIER PADA ANALISIS SENTIMEN PENGGUNA LAYANAN PT PERUSAHAAN LISTRIK NEGARA (PLN)(2022)1 cited
Comparison of Data Mining Classification Methods for Predicting Credit Appropriation through Naïve Bayes and Decision Tree Methods(2020)