Publications

Google Scholar: https://scholar.google.com.tr/citations?hl=tr&user=-0j t9UAAAAJ&view_op=list_works&sortby=pubdate

International Journal Articles (SCI Index)

• Serhat Atik, Tuğba Dalyan (2023), “Feature Selection Optimization with Filtering and Wrapper Methods: Two Disease Classification Cases”, Turkish Journal of Electrical Engineering & Computer Science, 31(1), 329–1342.

• Hasan Han, Oğuzcan Karadeniz, Tuğba Dalyan, Elena Battini Sönmez, Baykal Sarıoğlu (2023), “Acknowledge of Emotions for Improving Student-Robot Interaction”, Intelligent Automation & Soft Computing, 7(1), 1209-1224.

• Emrecan Çelik, Tuğba Dalyan, Unified benchmark for zero-shot Turkish text classification (2023), Information Processing & Management, 60(3), 103298.

• Tuğba Dalyan, Özgür Özdemir, Hakan Ayral (2022), “A Comprehensive Study of Learning Approaches for Author Gender Identification”, Information Technology and Control Journal, 51(3) : 429-445.

• Özgür Özdemir, Emre Salih Akın, Rıza Velioğlu, Tuğba Dalyan (2021), “A comparative study of neural machine translation models for Turkish language”, Journal of Intelligent & Fuzzy Systems, 42(3) : 2103-2113.

• Elena Battini Sönmez, Hasan Han, Oğuzcan Karadeniz, Tuğba Dalyan, Baykal Sarıoğlu (2021), “EMRES: A new EMotional RESpondent robot”, IEEE Transactions on Cognitive and Developmental Systems, 14(2) : 772-780.

• Tuğba Yıldız, Elena Battini Sönmez, Berk Dursun Yılmaz, Ali Emre Demir (2020), Images captioning in Turkish language: database and model, Journal of the Faculty of Engineering and Architecture of Gazi University, 35 (4) : 2089 -2100.

• Tuğba Yıldız (2019), A comparative study of author gender identification, Turkish Journal of Electrical Engineering & Computer Science, 27(2) : 1052-1064.

• Tuğba Yıldız and Savaş Yıldırım, (2019), “A cascaded framework for identification and extraction of antonym for Turkish language”, Soft Computing, 23 : 7853–7864.

• Savaş Yıldırım, Tuğba Yıldız, (2018), “Learning Turkish Hypernymy Using Word Embeddings”, International Journal of Computational Intelligence Systems, 11(1): 371-383

• Tuğba Yıldız, Banu Diri, Savaş Yıldırım, (2017). “Turkish synonym identification from multiple resources: monolingual corpus, mono/bilingual on-line dictionaries and WordNet”, Turkish Journal of Electrical Engineering & Computer Science, 25(2):752-760.

• Tuğba Yıldız, Banu Diri, Savaş Yıldırım, (2016). “Acquisition of Turkish meronym based on classification of patterns”. Journal of Pattern Analysis and Applications, 19(2): 495–507.

TR Index

• İslam Mayda, Banu Diri, Tuğba Dalyan, (2021), ” Türkçe Tweetler üzerinde Makine Öğrenmesi ile Nefret Söylemi, Avrupa Bilim ve Teknoloji Dergisi,24: 328-334, https://doi.org/10.31590/ejosat.903854.

• Savaş Yıldırım, Tuğba Yıldız, (2018), “Türkçe için karşılaştırmalı metin sınıflandırma analizi“, Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, DOI: 10.5505/pajes.2018.15931.

• Savaş Yıldırım, Tuğba Yıldız, (2018), “A Comparison of Different Approaches to Document Representation in Turkish Language”, Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi, DOI: 10.19113/sdufbed.15893.

International Journal Articles

• Gurkan Sahin, Banu Diri, Tugba Yildiz, (2016). Extraction of Turkish Semantic Relation Pairs using Corpus Analysis Tool. International Journal of Computer and Information Technology, 5(6): 491- 499.

• Savas Yildirim, Tugba Yildiz, (2015). An Unsupervised Text Normalization Architecture for Turkish Language. Research in Computing Science, 90: 183-194.

Book Chapters:

• Ahmet Suerdem, Tuğba Dalyan, Savaş Yıldırım (2023). Detection of Change in the Senses of AI in Popular Discourse. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing. Lecture Notes in Computer Science, vol 13397. Springer, Cham.

• Tuğba Dalyan, İrem Otay, Mehmet Gülada, (2022) “Interval-Valued Pythagorean Fuzzy AHP&TOPSIS for ERP Software Selection”, In: Kahraman, C., Tolga, A.C., Cevik Onar, S., Cebi, S., Oztaysi, B., Sari, I.U. (eds) Intelligent and Fuzzy Systems. INFUS 2022. Lecture Notes in Networks and Systems, vol 505. Springer, Cham, https://doi.org/10.1007/978-3-031-09176-6_78.

• Tuğba Yıldız, İrem Otay, (2020) “Multi-criteria Cloud Computing Service Provider Selection Employing Pythagorean Fuzzy AHP and VIKOR”, INFUS: International Conference on Intelligent and Fuzzy Systems, Intelligent and Fuzzy Techniques: Smart and Innovative Solutions, Advances in Intelligent Systems and Computing, Springer, 423-431.

• Tuğba Yıldız, Savaş Yıldırım, Banu Diri, (2016) A Study on Turkish Meronym Extraction Using a Variety of Lexico-Syntactic Patterns. In: Vetulani Z., Uszkoreit H., Kubis M. (eds) Human Language Technology. Challenges for Computer Science and Linguistics. LTC 2013. Lecture Notes in Computer Science, vol 9561, pp 386-394. Springer, Cham.

• Tuğba Yıldız, Banu Diri, Savaş Yıldırım, (2014). “An Integrated Approach to Automatic Synonym Detection in Turkish Corpus”, 9th International Conference on Natural Language Processing, POLTAL, Proceedings Part I, LNAI 8686, Springer International Publishing Switzerland, pp. 116-127.

• Tuğba Yıldız, Savaş Yıldırım, Banu Diri, (2013). “Extraction of Part-Whole Relations from Turkish Corpora”, CICLing 2013: Computational Linguistics and Intelligent Text Processing, LNCS 7816, Springer Berlin/Heidelberg, pp. 126-138.

• Savaş Yıldırım, Tuğba Yıldız, (2012). “Corpus-Driven Hyponym Acquisition for Turkish Language”, CICLing 2012: Computational Linguistics and Intelligent Text Processing, Proceedings Part I, LNCS 7181, Springer Berlin/Heidelberg, pp. 29-41.

• Savaş Yıldırım, Yılmaz Kılıçaslan, Tuğba Yıldız, (2009). “Pronoun Resolution in Turkish Using Decision Tree and Rule-Based Learning Algorithms”, LNCS 5603, Springer Berlin/Heidelberg, pp. 270-278

International Conference Papers:

• Hasan Berat Gürbüz, Abdurrahim Balta, Tuğba Dalyan; Y. Dağhan Gökdel, Engin Afacan (2023), “Img2Sim-V2: A CAD Tool for User-Independent Simulation of Circuits in Image Format”, 19th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD), 10.1109/SMACD58065.2023.10192193.

• Ahmet Emre Sertdemir, Mehmet Beşenk, Tuğba Dalyan, Yiğit Dağhan Gökdel and Engin Afacan (2022), “From Image to Simulation: An ANN-based Automatic Circuit Netlist Generator (Img2Sim),” 18th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD), pp. 1-4, doi:10.1109/SMACD55068.2022.9816254.

• Hasan Han, Oğuzcan Karadeniz, Elena Battini Sönmez,Tuğba Dalyan, Baykal Sarıoğlu (2021), Facial Expression Recognition in the Wild with Application in Robot,2021 6th International Conference on Computer Science and Engineering (UBMK), IEEE Explore, Ankara, Turkey.

• Berk Dursun Yılmaz, Ali Emre Demir, Elena Battini Sönmez and Tuğba Yıldız, (2019) “Image Captioning in Turkish Language,” Innovations in Intelligent Systems and Applications Conference (ASYU), Izmir, Turkey.

• Eimal Dorani, Nevcihan Duru and Tuğba Yıldız, (2019) “An Empirical Investigation of Performances of Different Word Embedding Algorithms in Comment Clustering,” 2019 Innovations in Intelligent Systems and Applications Conference (ASYU), Izmir, Turkey.

• Salih Emre Akın, Tuğba Yıldız, (2019) “Sentiment Analysis through Transfer Learning for Turkish Language”, International Symposium on INnovations in Intelligent SysTems and Applications(INISTA 2019), IEEE Explore, Sofia, Bulgaria.

• Rıza Velioğlu, Tuğba Yıldız, Savaş Yıldırım, Sentiment Analysis Using Learning Approaches over Emojis for Turkish Tweets, III. Uluslararası Bilgisayar Bilimleri ve Mühendisliği Konferansı (UBMK 2018).

• Cenk Anıl Bahçevan, Emirhan Kutlu, Tuğba Yıldız, Deep Neural Network Architecture for Part-of-Speech Tagging for Turkish Language, III. Uluslararası Bilgisayar Bilimleri ve Mühendisliği Konferansı (UBMK 2018).

• Ahmet Süerdem, Tuğba Yıldız, Savaş Yıldırım, (2018). “Detection of different senses of AI in popular discourse via word embeddings”, 19th International Conference on Computational Linguistics and Intelligent Text Processing, pp. 219-220.

• Tuğba Yıldız, Savaş Yıldırım, Özge Şamlı, (2017). “Question Classificaition via Deep Neural Network”, 8th Language & Technology Conference, Human Language Technologies as a Challenge for Computer Science and Linguistics, pp. 219-220.

• Gürkan Şahin, Banu Diri, Tuğba Yıldız, (2016). “A hybrid method for extracting Turkish part-whole relation pairs from corpus”, 24th Signal Processing and Communication Application Conference (SIU), pp. 1037-1040.

• Gürkan Şahin, Banu Diri, Tuğba Yıldız, (2015). “Analysis of Lexico Syntactic Patterns for Antonym Pair Extraction from a Turkish Corpus”, 4th International Conference on Advanced Information Technologies and Applications, ICAITA, Dubai, UAE, pp. 11-17.

• Gürkan Şahin, Banu Diri, Tuğba Yıldız, (2015). “Pattern and semantic similarity based automatic extraction of hyponym-hypernym relation from Turkish corpus, 23nd Signal Processing and Communications Applications Conference (SIU), pp. 674-677.

• Tuğba Yıldız, Banu Diri, SavaşYıldırım, (2013). “Analysis of Lexico-Syntactic Patterns for Meronym Extraction from a Turkish Corpus”, 6th Language and Technology Conference, Human Language Technologies as a Challenge for Computer Science and Linguistics, LTC, Poland.

• Tuğba Yıldız, Savaş Yıldırım, (2012). “Association rule based acquisition of hyponym and hypernym relation from a Turkish corpus”, Innovations in Intelligent Systems and Applications (INISTA), Trabzon/Turkey.

• Savaş Yıldırım, Yılmaz Kılıçaslan, Tuğba Yıldız, A Decision Tree and Rule-based Learning Model for Anaphora Resolution in Turkish, 3rd Language & Technology Conference: Human Language Technologies as a Challenge for Computer Science and Linguistics October 5-7, 2007, Poznań, Poland, pp.89-93.

National Conference Papers:

• Tugba Dalyan, Nevcihan Duru, (2006). “A Novel 1R Approach To Derive Rules”, in TAINN Turkish Artificial Intelligence Neural Network Program, 21- 23 Haziran 2006, pp. 141-150.

• Tuğba Yıldız, Savaş Yıldırım ve Turgay Altılar, (2008). “İstenmeyen İletilerin Paralelleştirilmiş KNN Algorithması ile Tespiti”, Akademik Bilişim Konferansı, 31 Ocak-2 Şubat, 2008, pp. 627-632.

• Tuğba Yıldız, Ruhan İkeda, (2007). “GNU/Linux Üzerinde Müzik”, Akademik Bilişim Konferansı, 31 Ocak-2 Şubat 2007.

Posters:

•Savaş Yıldırım, Tugba Yıldız, (2012). “Automatic Extraction of Turkish Hypernym-Hyponym Pairs From Large Corpus”. COLING 2012 (DEMOS), pp. 493-500.

AWARDS (Best Paper Award: Second Place)

• Savaş Yıldırım, Tuğba Yıldız, (2012). “Corpus-Driven Hyponym Acquisition for Turkish Language”, CICLing 13th International Conference on Intelligent Text Processing and Computational Linguistics 2012, Proceedings Part I, LNCS 7181, Springer Berlin / Heidelberg, 29-41

Google Scholar: https://scholar.google.com.tr/citations?user=1VuO4uEAAAAJ&hl=tr

Journal Papers and Book Chapters:

• (SCI) Learning-based pronoun resolution for Turkish with a comparative evaluation, Computer Speech and Language, Volume 23 , Issue 3. Academic Press Ltd 2009

• Pronoun Resolution in Turkish Using Decision Tree and Rule-Based Learning Algorithms, Lecture Notes in Computer Science, Vol. 5603, Springer, 2009.

• (Awarded Paper) Corpus-Driven Hyponym Acquisition for Turkish, CICLing 2012, Springer LNCS, New Delhi, India.

• Extraction of Part-Whole Relations from Turkish Corpora, Proceedings of CICLING 2013, Springer LNCS, pages 126-138, Samos, Greece, 2013

• A Knowledge-poor Approach to Turkish Text Categorization with a Comparative Analysis, Proceedings of CICLING 2014, Springer LNCS, Nepal, 2014.

• (SCI) Acquisition of Turkish meronym based on classification of patterns, Journal of Pattern Analysis and Applications, Volume 19, Issue 2, Springer, 2015

• An Unsupervised Text Normalization Architecture for Turkish Language, Special Issue :Advances in Computational Linguistics, Research in Computing Science, p183194, 2015

• (SCI) Turkish synonym identification from multiple resources: monolingual corpus, mono/bilingual on-line dictionaries and WordNet. Turkish Journal of Electrical Engineering and Computer Science, 2016.

• A Study on Turkish Meronym Extraction Using a Variety of Lexico-Syntactic Patterns. Challenges for Computer Science and Linguistics, LTC-13. Lecture Notes in Computer Science, vol 9561. Springer, 2016

• (TR-Index) A Comparison of Different Approaches to Document Representation in Turkish Language, SDU Journal of Natural and Applied Science, Vol 22, Issue 2, 2018 3

• (TR-Index) A comparative analysis of text classification for Turkish language, Pamukkale University Journal of Engineering Science Volume 25 Issue 5, 2018

• (SCI) Learning Turkish Hypernymy Using Word Embeddings, IJCIS , Atlantis Press, Vol.11 Issue-1, Pages 371-383, 2018

• (SSCI) Listening to the organization: change evaluation with discourse analysis, Journal of Organizational Change Management, Emerald Publishing Limited, 2018,

• (SCI) A cascaded framework for identification and extraction of antonym for Turkish language, Journal of Soft Computing, Springer, 2018

• (SSCI) News Coverage of the Gulf Crisis in the Turkish Mediascape. International Journal of Communication, 13401367, Vol 13, 2019

• The Refugee Crisis in the Croatian Digital News: Towards a Computational Political Economy of Communication, The Political Economy of Communication, 2018, Vol 6 , no 1

• (SSCI, just accepted) Improving word embeddings projection for Turkish hypernym extraction. Turkish Journal of Electrical Engineering and Computer Sciences. 2019.

 

Conference Publications, Roles, Thesis

• Research on C4.5 As An Inductive Learning Technique. Master Thesis (2003)

• A Computational Model for Anaphora Resolution in Turkish via Centering Theory, Conference of IJCI 2005,

• A Machine Learning Approach to Personal Pronoun Resolution in Turkish, AAAI Press, Conference Proceedings, Flairs, 2007.

• A Decision Tree and Rule-based Learning Model for Anaphora Resolution in Turkish, 3rd Language & Technology Conference, 2007.

• Research on C4.5 As An Inductive Learning Technique. Master Thesis (2003)

• A Computational Model for Anaphora Resolution in Turkish via Centering Theory, Conference of IJCI 2005,

• A Machine Learning Approach to Personal Pronoun Resolution in Turkish, AAAI Press, Conference Proceedings, Flairs, 2007.

• A Decision Tree and Rule-based Learning Model for Anaphora Resolution in Turkish, 3rd Language & Technology Conference, 2007.

• Istenmeyen Iletilerin paralellestirilmi KNN algoritmasi ile tespiti, Akademik Bilisim 2008, Canakkale, Turkey

• PC Member, NLP Track of FLAIRS 2008, Cicling 2015

• (PhD Thesis) Inductive and Deductive Methods for Turkish Anaphora Resolution, Trakya University, 2008.

• Association Rule based Acquisition of hyponym and hypernym relation from a Turkish Corpus, INISTA 2012, KTU, Turkey

• Automatic Extraction of Turkish Hypernym-Hyponym Pairs From Large Corpus, Proceedings of COLING 2012: Demonstration Papers, pages 493-500, Mumbai IIT, India, Printed by Curran Associates, Inc.

• Analysis of Lexico-syntactic Patterns for Meronym Extraction from a Turkish Corpus, in Proceedings of Language & Technology Conference Poznan, Poland, 2013.

• A Knowledge-poor Approach to Turkish Text Categorization with a Comparative Analysis, Proceedings of CICLING 2014, Springer LNCS, Nepal, 2014.

• An Integrated Approach to Automatic Synonym Detection in Turkish Corpus, Advances in Natural Language Processing, Springer, Proceedings of PolTAL 2014, LNAI 8686, Springer, 2014.

• Text Normalization Model for Turkish Language, Proceedings of CICLING 2015, Cairo, Egypt, 2015.

• An Unsupervised Text Normalization Architecture for Turkish Language, Special Issue, Advances in Computational Linguistics , Research in Computing Science, 183194, 2015

• A Study on Turkish Meronym Extraction Using a Variety of Lexico-Syntactic Patterns. Challenges for Computer Science and Linguistics, LTC-13. Lecture Notes in Computer Science, vol 9561. Springer, 2016.

• Question Classification via Deep Neural Networks, Proceedings of Language and Technology Conference, Poznan, 2017 4

• Political economy of moral panics: a computational social science analysis. 13th Conference of the European Sociological Association. Athen, Greece, 2017

• Classification of ”Hot News” for Financial Forecast Using NLP Techniques, International Conference on Big Data, Big Data 2018, IEEE, Seatle, 2018

• Detection of different senses of AI in popular discourse via word embeddings, CICLING 2018, Hanoi, Vietnam, February 2018

• Measuring Organizational Homophily and Heterophily with Discourse Analytics: a method and business case application, 10. Orgt Kuram Sempozyumu, ubat 2019, Izmir Ekonomi Universitesi

• Sentiment Analysis Using Learning Approaches Over Emojis for Turkish Tweets. 2018 UBMK. IEEE.

• Building Domain-Specific Lexicons: An Application to Financial News, International Conference on Deep Learning and Machine Learning, DeepML-2019, stanbul . IEEE.

Google Scholar: https://scholar.google.com/citations?user=MukDFArYY6YC&hl=en

Books:

• Elena Battini Sönmez, “Robust Classification based on Sparsity”, Lambert Academic Publishing, Germany, ISBN: 978-3-659-40066-7, 2013. Journals:

• H. Han, O. Karadeniz, T. Dalyan, B. Sarıouğlu and E. Battini Sönmez, “Acknowledge of Emotions for Improving Student-Robot Interaction”, Intelligent Automation & Soft Computing, Volume 36 Issue 4, 2023.

• S. Memiş, B. Arslan, E. Battini Sönmez, and O. Z. Batur, “The segmented UEC Food-100 dataset with benchmark experiment on food detection”, Multimedia System, DOI: 10.1007/s00530-023-01088-9, 2023.

• Elena Battini Sönmez, Hasan Han, Oğuzcan Karadeniz, Tuğba Dalyan, Baykal Sarıoğlu, “EMRES: A new EMotional RESpondent robot”, IEEE Transactions on Cognitive and Developmental Systems, 14(2), 772-780, June 2022, DOI
10.1109/TCDS.2021.3120562.

• Özgür Özdemir, Elena Battini Sönmez, “Attention Mechanism and Mixup Data Augmentation for Classification of COVID-19 Computed Tomography Images”, Journal of King Saud University – Computer and Information Sciences, 34(8), Part B, (2022), 6199-6207, ISSN 1319-1578, ISSN 1319-1578, https://doi.org/10.1016/j.jksuci.2021.07.005.

• B. Arslan, S. Memiş, E.B. Sönmez and O.Z. Batur, “Fine-Grained Food Classification Methods on the UEC Food-100 Database”, IEEE Transactions on Artificial Intelligence (TAI), DOI: 10.1109/TAI.2021.3108126 (2021).

• Elena Battı̇nı̇ Sonmez, Tuğba Yıldız, Berk D. Yılmaz, A. Emre Demı̇r, “Türkçe dilinde görüntü altyazısı: veritabanı ve model” (Image captioning in Turkish language: database and model), Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, 35, (2020), 2089-2100. https://dergipark.org.tr/tr/pub/gazimmfd/issue/56113/597089. .

• Elena Battini Sönmez, “A Computational Study on Aging Effect for Facial Expression Recognition”, Turk J Elec Eng & Comp Sci, 27, (2019), 2430-2443.

• Ilknur Dönmez, Elena Battini Sönmez, “Sadness and Happiness Analysis by Gender Using Google n-gram Database, Google n-gram Veritabanı ile Cinsiyet Kırılımlı Üzüntü ve Mutluluk Üzerine Duygu Analizi”, TBV Journal of Computer Science and Engineering – Türkiye Bilişim Vakfı Bilgisayar Bilimleri ve Mühendisliği Dergisi, 12(1): 39-46, June 2019.

• Elena Battini Sönmez, “Comparison Study on Facial Expression Recognition”, International Journal of Advances in Electronics and Computer Science (IJAECS), October 2018, 5(10): 36-40, ISSN= 2394-2835.

• Elena Battini Sönmez, “An Automatic Multilevel Facial Emotion Recognition System”, Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2018, 22(1), 160-165. DOI: http://dx.doi.org/10.19113/sdufbed.50007.

• Elena Battini Sönmez, “A Study on Facial Expression Recognition”, Gazi University Journal of Science, 2018, 30(3), 19-27. http://dergipark.gov.tr/gujs/issue/31190/306704.

• Elena Battini Sönmez, Songül Albayrak, “A facial component-based system for emotion classification”, Turkish Journal of Electrical Engineering & Computer Sciences, 2016, 24(3), 1663-1673.

• Elena Battini Sönmez, Songül Albayrak, “Critical Parameters of the Sparse Representation based Classifier”, IET Computer Vision Journal, 2013, 7(6): 500-507. 

Indexed Conference Proceedings:

• H. Han and E. Battini Sönmez, “Facial Expression Recognition on Wild and MultiLabel Faces with Deep Learning”, 3th International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), Tenerife, Canary Islands, 2023. (accepted).

• L. Abdullah, S. Halfon and E. Battini Sönmez, “Extracting Psychological Features out of Drawings of HTP test”, 3th International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), Tenerife, Canary Islands, 2023. (accepted).

• H.A. Salar, H. Faiyad, E. Battini Sönmez and S. Halfon, “Artificial Intelligence Contribution to Art-Therapy using Drawings of the House-Person-Tree Test”, 3th International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), Tenerife, Canary Islands, 2023. (accepted).

• S.B. Golech, S.B. Karacan, E. Battini Sönmez and H. Ayral, “A complete human verified Turkish caption dataset for MS COCO and performance evaluation with well-known image caption models trained against it”, 2nd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), Maldives, 2022, pp. 1-6, doi: 10.1109/ICECCME55909.2022.9988025.

• B. Türkan, A. G. Ateş, Ö. Özdemir and E. Battini Sönmez, “Diagnosing the Breathing Sounds as COPD or Asthma,” 2022 7th International Conference on Computer Science and Engineering (UBMK), 2022, pp. 125-130, doi: 10.1109/UBMK55850.2022.9919567.

• H. Han, O. Karadeniz, E. Battini Sönmez, T. Dalyan and B. Sarıoğlu, “Facial Expression Recognition in the Wild with Application in Robotics,” 2021 6th International Conference on Computer Science and Engineering (UBMK), pp. 565-
569, doi: 10.1109/UBMK52708.2021.9558909, 15-17 September 2021, Ankara,TR. https://ieeexplore.ieee.org/document/9558909.

• Sefer Memiş, Berker Arslan, Okan Zafer Batur, Elena Battini Sönmez, “Comparative Study of Deep Learning Methods on Food Classification Problem”, IEEE Int. Conference on Innovations in Intelligent Systems and Applications (ASYU), 15-17 October 2020, Istanbul, Turkey, 2020, pp. 1-4, doi: 10.1109/ASYU50717.2020.9259904.

• Özgür Özdemir, Elena Battini Sönmez, “Weighted Cross-Entropy for Unbalanced Data with Application on COVID X-ray images”, IEEE Int. Conference on Innovations in Intelligent Systems and Applications (ASYU), 15-17 October 2020,
Istanbul, Turkey, pp. 1-6, doi: 10.1109/ASYU50717.2020.9259848.

• Elena Battini Sönmez, Hatice Köşe, Duygun Erol Barkana, “Towards a New Computational Affective System for Personal Assistive Robots”, Signal Processing and Communications Applications Conference (SIU), 05-07 October 2020, online.

• Agit Çelik, Yağız Uğurlu, Emre Gözüküçük, Elena Battini Sönmez, “Automatic System for Sheepskin Quality Control with Convolutional Neural Network”, IEEE 4th International Computer Science and Engineering Conference (UBMK), 11-12 September 2019, Samsung, TR.

• Ayah Kunbaz, Souzi Saghir, Mira Arar, Elena Battini Sönmez, “Fake Image Detection Using DCT and Local Binary Pattern”, IEEE Int. Conference on Image Processing Theory, Tools and Applications (IPTA), 6-9 November 2019, Istanbul, TR.

• Berk Dursun Yılmaz, Ali Emre Demir, Elena Battini Sönmez, Tuğba Yıldız, “Image Captioning in Turkish Language”, IEEE Int. Conference on Innovations in Intelligent Systems and Applications (ASYU), 31 October 19-02 November 2019, Izmir, TR.

• Ceren Gülra Melek, Elena Battini Sönmez, Songül Albayrak, “Object Detection in Shelf Images with YOLO”, In Proceedings of IEEE EUROCON, 01-04 July 2019, Novi Sad, Serbia.

• Ilknur Dönmez, Elena Battini Sönmez, “Feeling Analysis for Sadness and Happiness using Google n-gram Database, Google n-gram Veritabanı ile Üzüntü ve Mutluluk Üzerine Duygu Analiz”, 3th International Computer Science and Engineering Conference (UBMK), 20-23 September 2018, Sarayevo, Bosnia, doi: 10.1109/UBMK.2018.8566245.

• Luca Surace, Massimiliano Patacchiola, Elena Battini Sönmez, William Spataro, Angelo Cangelosi, “Emotion Recognition in the Wild using Deep Neural Networks and Bayesian Classifiers”, Fifth Emotion Recognition in the Wild (EmotiW) Challenge 2017, 19th ACM International Conference on Multimodal Interaction (ICMI), 13-17 November 2017, Glasgow, UK.

• Ceren Gülra Melek, Elena Battini Sönmez, Songül Albayrak, “A Survey of Product Recognition in Shelf Images”, 2nd International Computer Science and Engineering Conference (UBMK), 5-8 October 2017, Antalya, Turkey. ISBN: 978-1-5386-0930-9

• Ayşe Ece Sancar, Elena Battini Sönmez, “A Model for an Emotional Respondent Robot”, 3th Int. Signal Processing and Intelligent Recognition Systems (SIRS), 13-16 September 2017, Karnataka, India.

• Elena Battini Sönmez, Angelo Cangelosi, “Convolutional Neural Networks with Balanced Batches for Facial Expressions Recognition”, 9th Int. Conference Machine Vision (ICMV), 18-20 November 2016, Nice, France.

• Müjde Aktaş, Elena Battini Sönmez, “Video-based Turkish Sign Language Recognition Systems”, V ECCOMAS Thematic Conferences on Computational Vision and Medical Image Processing (VipImage), 19-21 October 2015, Tenerife, Canary Islands, Spain.

• Elena Battini Sönmez, Bülent Sankur, Songül Albayrak, “Classification with Emotional Faces via a Robust Sparse Classifier”, Int. Conf. on Image Processing Theory, Tools and Applications (IPTA), 15-18 October 2012, İstanbul, TR. Best paper award.

• Elena Battini Sönmez, Bülent Sankur, Songül Albayrak, “Face Classification via Sparse Approximation” (original title: Seyrek Yaklaşımlar ile Yüz Sınıflama), Signal Processing and Communications Applications Conference (SIU), 20-22 April 2011, Hacettepe, University, Kemer, Antalya, TR.

• Elena Battini Sönmez, Bülent Sankur, Songül Albayrak, “Face Classification via Sparse Approximation”, Biometrics and Identity Management Conference (BioID), 8-10 March 2011, Brandenburg, University of Applied Sciences, Brandenburg, Germany.

• Elena Battini Sönmez, Bülent Sankur, Songül Albayrak, “Biometric Face Recognition Using Random Faces” (original title: Rasgele Vektörlerle Biyometrik Yüz Tanıma), Signal Processing and Communications Applications Conference
(SIU2010), 21-23 April 2010, Dicle University, Diyarbakır, TR.

• Berrak Şenses, Ece Aksen, Elena Battini Sönmez, “Automatic Traffic Sign Classification”, 11th International Conference on Image Processing, Wavelet and Applications (IWW2021), 23-24 June 2021, Istanbul Aydın University, Istanbul, Turkey.

• Elena Battini Sönmez, “Effect of Aging on Facial Expression Recognition”, Abstract with oral presentation, First International Conference on Innovation in Natural Science and Engineering, 3-6 January 2018, Northern Cyprus.

• Elena Battini Sönmez, “An Automatic System for Low, Middle and High Intensity Expressions Recognition”, Abstract with oral presentation, First International Conference on Innovation in Natural Science and Engineering, 3-6 January 2018, Northern Cyprus.

• Elena Battini Sönmez, Angelo Cangelosi, “Trust in Human Robot Interaction via Embodiment of Emotions”, poster, 3th Int. Symposium Brain and Cognitive Science (ISBCS), 8 May 2016, Istanbul, TR.

• Abbas Memiş, Songül Albayrak, Elena Battini Sönmez, “An Iris Recognition System Based on Angular Radial Partitioning and Statistical Texture Analysis with Sum & Difference Histogram 2-nd Int. Symposium on Computing in Informatics and Mathematics”, (ISCIM2013), 26-28 September 2013, Tirana, Albania.

• Elena Battini Sönmez, Önder Özbek, N. Özge Özbek,” A Multimodal Biometric System Based on Wavelets Transformation” (original title: Dalgacık dönüşümüne dayalı çoklu model biyometrik sistem), Academic Computing 2008, Çanakkale, TR.

• Elena Battini Sönmez, N. Özge Özbek, Önder Özbek, “A Biometric Personal Identification System based on Palm Print and Fingerprint” (original title: Avuç İzi ve Parmak İzine Dayalı bir Biyometrik Tanıma Sistemi), Academic Computing 2007, Kütahya, TR.

Awards:

• The MSc was supported by a scholarship made available by the University of Pisa. Only one such scholarship per year is awarded.

• Best paper award: Elena Battini Sönmez, Bülent Sankur, Songül Albayrak, “Classification with Emotional Faces via a Robust Sparse Classifier”, Int. Conf. on Image Processing Theory, Tools and Applications (IPTA 2012), 15-18 October
2012, Istanbul, TR.

Google Scholar: https://scholar.google.com/citations?hl=en&user=hHAWQ6EAAAAJ

• Emrecan Çelik, Tuğba Dalyan, “Unified benchmark for zero-shot Turkish text classification,” Information Processing & Management, Vol. 60, Issue 4, 2023, Article 103298. https://doi.org/10.1016/j.ipm.2023.103298

Google Scholar: https://scholar.google.com.tr/citations?hl=tr&user=zdSo67sAAAAJ

• Samet Demir, Uras Mutlu, Özgur Özdemir, “Neural Academic Paper Generation,” arXiv, 2019, arXiv:1912.01982.

• Özgür Özdemir, Gokhan Bilgin, “Auto-correlation for Predicting Neutral Emotion State on Speech Emotion Recognition,” 2021 Innovations in Intelligent Systems and Applications Conference (ASYU), 2021, DOI: 10.1109/ASYU52992.2021.9599074.

• Özgür Özdemir, Gokhan Bilgin, “Comprehensive Analysis of Deep Learning Methods on Gender Identification Using Speech Signals,” 2022 Innovations in Intelligent Systems and Applications Conference (ASYU), 2022, DOI: 10.1109/ASYU56188.2022.9925387.

• Özgür Özdemir, Elena Battini Sönmez, “Weighted Cross-Entropy for Unbalanced Data with Application on COVID X-ray images,” 2020 Innovations in Intelligent Systems and Applications Conference (ASYU), 2020, DOI: 10.1109/ASYU50717.2020.9259848.

• Özgür Özdemir, Emre Salih Akın, Rıza Velioğlu, Tuğba Dalyan, “Neural Machine Translation: A Comparative Study of Seq2Seq and Transformer Models,” Journal of Intelligent & Fuzzy Systems, vol. 42, no. 3, 2022, DOI: 10.3233/JIFS-211453.

• Tuğba Dalyan, Hakan Ayral, Özgür Özdemir, “A Comprehensive Study of Learning Approaches for Author Gender Identification,” Information Technology and Control, vol. 51, no. 3, 2022, DOI: 10.5755/j01.itc.51.3.29907.

• Özdemir, Ö., & Sönmez, E. B. (2021). Attention mechanism and mixup data augmentation for classification of COVID-19 Computed Tomography images. Journal of King Saud University-Computer and Information Sciences. https://doi.org/10.1016/j.jksuci.2021.07.005