Recep Sinan Arslan profile image
Recep Sinan Arslan Assoc. Prof. Kayseri University
Publication 11 Review 0 CrossRef Cited 23 TR Dizin Cited 14
11 Publication
0 Review
23 CrossRef Cited
14 TR Dizin Cited

Research Fields

Information and Computing Sciences Natural Language Processing

Institution

Kayseri University

Popular Publications

A Deep Learning Model for Malicious Url Filtering
DOI: 10.31590/ejosat.1011961
CITED 3 FAVORITE 1 TOTAL DOWNLOAD COUNT 1334

3

1

1334

Crime Prediction with DistilBERT-based Feature Extraction and Machine Learning
Authors: Emel Çolakoğlu, Serhat Hızlısoy , Recep Sinan Arslan
DOI: 10.21605/cukurovaumfd.1606169
CITED 0 FAVORITE 1 TOTAL DOWNLOAD COUNT 582

0

1

582

Publications

Crime Prediction with DistilBERT-based Feature Extraction and Machine Learning
Authors: Emel Çolakoğlu, Serhat Hızlısoy , Recep Sinan Arslan
DOI: 10.21605/cukurovaumfd.1606169
FAVORITE 1 TOTAL DOWNLOAD COUNT 582

1

582

A Design of Crime Category Detection Framework using Stacking Ensemble Model
Authors: Recep Sinan Arslan , Burak Dülgeroğlu
DOI: 10.21605/cukurovaumfd.1410642
FAVORITE 0 TOTAL DOWNLOAD COUNT 826

0

826

0

1497

0

2022

0

4565

A Deep Learning Model for Malicious Url Filtering
DOI: 10.31590/ejosat.1011961
FAVORITE 1 TOTAL DOWNLOAD COUNT 1334

1

1334

A Detection Method for Malicious Web Pages using Doc2vec Model and Machine Learning
DOI: 10.31590/ejosat.981450
FAVORITE 0 TOTAL DOWNLOAD COUNT 1544

0

1544

0

953

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Publications

1

0

597

A Design of Crime Category Detection Framework using Stacking Ensemble Model
Authors: Recep Sinan Arslan , Burak Dülgeroğlu
DOI: 10.21605/cukurovaumfd.1410642
CITED 1 FAVORITE 0 TOTAL DOWNLOAD COUNT 826

1

0

826

2

0

1497

4

0

2022

3

0

4565

A Deep Learning Model for Malicious Url Filtering
DOI: 10.31590/ejosat.1011961
CITED 3 FAVORITE 1 TOTAL DOWNLOAD COUNT 1334

3

1

1334

A Detection Method for Malicious Web Pages using Doc2vec Model and Machine Learning
DOI: 10.31590/ejosat.981450
CITED 7 FAVORITE 0 TOTAL DOWNLOAD COUNT 1544

7

0

1544

2

0

953