Arş. Gör. ALAETTİN UÇAN

Yayın Ağı

Makaleler 8

1. Predicting Success in Descemet Membrane Endothelial Keratoplasty Using Machine Learning

Karaca E. E., Bulut Ustael A., KEÇELİ A. S., Kaya A., Ucan A., Evren Kemer O.

CORNEA , sa.2, ss.189-195, 2025 (SCI-Expanded, Scopus)

2. The effect of CLOSER-computer-based exercise program in older adults with a history of falls: a pilot study

Özata Değerli M. N., ŞAHİN S., ALTUNTAŞ O., UYANIK M., Yılmaz A. A., Yiğit A. Y., et al.

Assistive Technology , 2024 (SSCI, Scopus)

3. A Comparative Study of Deep Learning Models on Tropospheric Ozone Forecasting Using Feature Engineering Approach

REZAEİ R., Naderalvojoud B., GÜLLÜ G.

Atmosphere , cilt.14, sa.2, 2023 (SCI-Expanded, Scopus)

4. A study of Turkish emotion classification with pretrained language models

UÇAN A., DÖRTERLER M., Akcapinar Sezer E.

JOURNAL OF INFORMATION SCIENCE , cilt.48, sa.6, ss.857-865, 2022 (SCI-Expanded, SSCI, Scopus)

5. A non-sequential refinement approach to improve word embeddings using GPU-based string matching algorithms

Naderalvojoud B., ÖZSOY A.

CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS , cilt.24, sa.4, ss.3123-3134, 2021 (SCI-Expanded, Scopus)

6. An emotion analysis scheme based on Gray Wolf optimization and deep learning

UÇAN A., Dorterler M., Akcapinar Sezer E.

CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE , cilt.33, sa.13, 2021 (SCI-Expanded, Scopus)

7. Sentiment aware word emb e ddings using refinement and senti-contextualized learning approach

Naderalvojoud B., SEZER E.

NEUROCOMPUTING , cilt.405, ss.149-160, 2020 (SCI-Expanded, Scopus)

8. Term evaluation metrics in imbalanced text categorization

Naderalvojoud B., SEZER E.

NATURAL LANGUAGE ENGINEERING , cilt.26, sa.1, ss.31-47, 2020 (SCI-Expanded, AHCI, SSCI, Scopus)

Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler 5

1. A New Approach on Emotion Analogy by Using Word Embeddings

UÇAN A., Akcapinar Sezer E.

27th Signal Processing and Communications Applications Conference (SIU), Sivas, Türkiye, 24 - 26 Nisan 2019, (Tam Metin Bildiri)

2. HUMIR at IEST-2018: Lexicon-Sensitive and Left-Right Context-Sensitive BiLSTM for Implicit Emotion Recognition

NADERALVOJOUD B., UÇAN A., SEZER E.

9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Brussels, Belçika, 31 Ekim - 01 Kasım 2018, ss.182-188, (Tam Metin Bildiri)

3. SentiWordNet for New Language: Automatic Translation Approach

UÇAN A., Naderalvojoud B., Sezer E. A., Sever H.

12th International Conference on Signal-Image Technology and Internet-Based Systems (SITIS), Naples, İtalya, 28 Kasım - 01 Aralık 2016, ss.308-315, (Tam Metin Bildiri)

4. Imbalanced Text Categorization Based on Positive and Negative Term Weighting Approach

Naderalvojoud B., Sezer E. A., UÇAN A.

18th International Conference on Text, Speech and Dialogue (TSD), Pilsen, Çek Cumhuriyeti, 14 - 17 Eylül 2015, cilt.9302, ss.325-333, (Tam Metin Bildiri)

5. Assessment of feature selection metrics for sentiment analyses Turkish movie reviews

UÇAN A., SEZER E., SEVER H.

International Conference on Data Mining, Lisbon, Portekiz, 14 - 17 Temmuz 2014, (Tam Metin Bildiri)

Metrikler

Arş. Gör. ALAETTİN UÇAN

Yayınlar & Eserler

1. Predicting Success in Descemet Membrane Endothelial Keratoplasty Using Machine Learning

2. The effect of CLOSER-computer-based exercise program in older adults with a history of falls: a pilot study

3. A Comparative Study of Deep Learning Models on Tropospheric Ozone Forecasting Using Feature Engineering Approach

4. A study of Turkish emotion classification with pretrained language models

5. A non-sequential refinement approach to improve word embeddings using GPU-based string matching algorithms

6. An emotion analysis scheme based on Gray Wolf optimization and deep learning

7. Sentiment aware word emb e ddings using refinement and senti-contextualized learning approach

8. Term evaluation metrics in imbalanced text categorization

1. A New Approach on Emotion Analogy by Using Word Embeddings

2. HUMIR at IEST-2018: Lexicon-Sensitive and Left-Right Context-Sensitive BiLSTM for Implicit Emotion Recognition

3. SentiWordNet for New Language: Automatic Translation Approach

4. Imbalanced Text Categorization Based on Positive and Negative Term Weighting Approach

5. Assessment of feature selection metrics for sentiment analyses Turkish movie reviews

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Yayın (Scopus)

Atıf (WoS)

H-İndeks (WoS)

Atıf (Scopus)

H-İndeks (Scopus)

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