Dr. Öğr. Üyesi BESTE KAYSI

Yayın Ağı

Makaleler 1

1. Thematic and sentiment analysis on X: a multi-method approach to examine the refugee crisis in Türkiye Análisis temático y de sentimiento en X: un enfoque multimétodo para examinar la crisis de refugiados en Turquía

Türkırkı M., AKKAYA E. C., KAYSI B., Darıcı E., SAYILAN G.

International Journal of Social Psychology , cilt.40, sa.2-3, ss.284-313, 2025 (SSCI, Scopus)

Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler 12

1. DIFFERENTIATING CHRONIC KIDNEY DISEASE TYPES USING PHYSICOCHEMICAL PARAMETERS IN AGRICULTURAL AREAS THROUGH EXPLAINABLE MACHINE LEARNING

KAYSI B.

VII. INTERNATIONAL AGRICULTURAL, BIOLOGICAL, LIFE SCIENCE CONFERENCE AGBIOL 2025, İstanbul, Türkiye, 7 - 10 Eylül 2025, (Özet Bildiri)

2. INTERPRETABLE MACHINE LEARNING FOR SOIL FERTILITY ASSESSMENT IN PRECISION AND SUSTAINABLE AGRICULTURE

KAYSI B.

VII. INTERNATIONAL AGRICULTURAL, BIOLOGICAL, LIFE SCIENCE CONFERENCE AGBIOL 2025, İstanbul, Türkiye, 7 - 10 Eylül 2025, (Özet Bildiri)

3. Thematic and Sentiment Analysis on X: A Multi-Method Approach to Examine the Refugee Crisis in Türkiye

TÜRKIRKI M., AKKAYA E. C., KAYSI B., DARICI E., SAYILAN G.

I. Ankara Sosyal ve Beşeri Bilimler Kongresi, Ankara, Türkiye, 24 - 25 Şubat 2024, (Özet Bildiri)

4. Predicting the survival of neonates in the intensive care unit

KAYSI B.

International Conference on Artificial Intelligence and Applied Mathematics (ICAIAME 2022), Baku, Azerbaycan, 20 - 22 Mayıs 2022, (Özet Bildiri)

5. Prediction of hospital readmission within 30 days for heart diseases using the bert models

KAYSI B.

International Conference on Artificial Intelligence and Applied Mathematics (ICAIAME 2022), Baku, Azerbaycan, 20 - 22 Mayıs 2022, (Özet Bildiri)

6. Prediction of hospital readmission for sepsis disease within 30 days with Bert language models

KAYSI B., GÜMÜŞ Ö.

III. Uluslararası Sağlıkta Yapay Zekâ Kongresi, İzmir, Türkiye, 11 - 13 Mayıs 2022, ss.20, (Özet Bildiri)

7. Survival prediction of sepsis patients in an intensive care unit

KAYSI B., GÜMÜŞ Ö.

14th International Symposium on Health Informatics and Bioinformatics (HIBIT 2021), Ankara, Türkiye, 10 - 11 Eylül 2021, ss.72, (Özet Bildiri)

8. Early Prediction of Sepsis from Clinical Data Using Machine Learning Algorithms

KAYSI B., GÜMÜŞ Ö.

4th International Conference on Data Science and Applications (ICONDATA’21), Türkiye, 4 - 05 Haziran 2021, ss.78, (Özet Bildiri)

9. Machine Learning Methods in the Prediction of Inpatient Length of Stay

KAYSI B., GÜMÜŞ Ö.

4th International Conference on Data Science and Applications (ICONDATA’21), Türkiye, 4 - 05 Haziran 2021, ss.5, (Özet Bildiri)

10. Competitive Usability Testing of Student Information Systems with Eye Tracking Method

KAYSI B., Topaloǧlu Y.

2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017, Nevada, Amerika Birleşik Devletleri, 14 - 16 Aralık 2017, ss.951-956, (Tam Metin Bildiri)

11. A comparative analysis of the e-participation of Izmir municipalities' websites

KAYSI B.

Proceedings of the International Conference on e-Learning, e-Business, Enterprise Information Systems, and e-Government, 1 - 03 Ocak 2018, (Tam Metin Bildiri)

12. Human computer interaction and visualization tools in health care services

KAYSI B.

Proceedings of the International Conference on Information and Knowledge Engineering, Amerika Birleşik Devletleri, 1 - 03 Ocak 2018, (Tam Metin Bildiri)

Metrikler

Dr. Öğr. Üyesi BESTE KAYSI

Yayınlar & Eserler

1. Thematic and sentiment analysis on X: a multi-method approach to examine the refugee crisis in Türkiye Análisis temático y de sentimiento en X: un enfoque multimétodo para examinar la crisis de refugiados en Turquía

1. DIFFERENTIATING CHRONIC KIDNEY DISEASE TYPES USING PHYSICOCHEMICAL PARAMETERS IN AGRICULTURAL AREAS THROUGH EXPLAINABLE MACHINE LEARNING

2. INTERPRETABLE MACHINE LEARNING FOR SOIL FERTILITY ASSESSMENT IN PRECISION AND SUSTAINABLE AGRICULTURE

3. Thematic and Sentiment Analysis on X: A Multi-Method Approach to Examine the Refugee Crisis in Türkiye

4. Predicting the survival of neonates in the intensive care unit

5. Prediction of hospital readmission within 30 days for heart diseases using the bert models

6. Prediction of hospital readmission for sepsis disease within 30 days with Bert language models

7. Survival prediction of sepsis patients in an intensive care unit

8. Early Prediction of Sepsis from Clinical Data Using Machine Learning Algorithms

9. Machine Learning Methods in the Prediction of Inpatient Length of Stay

10. Competitive Usability Testing of Student Information Systems with Eye Tracking Method

11. A comparative analysis of the e-participation of Izmir municipalities' websites

12. Human computer interaction and visualization tools in health care services

Yayın

Yayın (WoS)

Yayın (Scopus)

H-İndeks (WoS)

Atıf (Scopus)

H-İndeks (Scopus)

Proje