Recep Sinan Arslan profile image
Recep Sinan Arslan Assoc. Prof. Kayseri University
Publication 11 Review 0 CrossRef Cited 21 TR Dizin Cited 14
11 Publication
0 Review
21 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 1132

3

1

1132

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 347

0

1

347

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 347

1

347

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 561

0

561

0

1103

0

1664

0

4051

A Deep Learning Model for Malicious Url Filtering
DOI: 10.31590/ejosat.1011961
FAVORITE 1 TOTAL DOWNLOAD COUNT 1132

1

1132

A Detection Method for Malicious Web Pages using Doc2vec Model and Machine Learning
DOI: 10.31590/ejosat.981450
FAVORITE 0 TOTAL DOWNLOAD COUNT 1214

0

1214

0

703

User doesn't have any peer review duties on DergiPark.

Publications

1

0

233

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 561

1

0

561

2

0

1103

3

0

1664

3

0

4051

A Deep Learning Model for Malicious Url Filtering
DOI: 10.31590/ejosat.1011961
CITED 3 FAVORITE 1 TOTAL DOWNLOAD COUNT 1132

3

1

1132

A Detection Method for Malicious Web Pages using Doc2vec Model and Machine Learning
DOI: 10.31590/ejosat.981450
CITED 6 FAVORITE 0 TOTAL DOWNLOAD COUNT 1214

6

0

1214

2

0

703

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