Banu Diri

Scopus Publications

Disentangling Technical and Content Attributes in Search Engine Ranking: A Comparative Study of Google and Bing
Göker Cebeci, Banu Diri
IEEE Access, 2026
This study presents a novel empirical methodology to characterize and compare the ranking environments of major information retrieval systems, specifically Google and Bing. By analyzing technical and content attributes from a dataset of 14,465 Search Engine Results Page (SERP) items collected from a homogeneous commercial discount domain comprising 500 queries, we aim to characterize observable associative patterns between resource attributes and ranking outcomes. The dataset includes Lighthouse performance metrics and advanced content features, such as Sentence-BERT-based semantic similarity. Using K-Means clustering, we identify five resource profiles representing emergent optimization archetypes. The analysis revealed that content-related factors had a higher aggregate importance for both systems (Google: 70.1%, Bing: 61.8%) than technical factors. Specifically, Random Forest feature importance analysis highlighted that for Bing, content volume was a dominant predictor, whereas for Google, semantic relevance signals outweighed pure keyword targeting. We further contextualize these findings within an "Authority–Optimization Trade-off" framework, suggesting that Google’s negative associations for certain on-page optimization signals likely reflect a ranking function that heavily weights latent domain authority over explicit on-page compliance. These findings highlight how modern learning-to-rank systems may differentially weight explicit content features and latent authority signals when balancing relevance, diversity, and quality.
Healthcare-Focused Turkish Medical LLM: Training on Real Patient-Doctor Question-Answer Data for Enhanced Medical Insight
M. Ali Bayram, Banu Diri, Savas Yildirim
ACM Transactions on Asian and Low Resource Language Information Processing, 2025
The development of a Turkish-specific Large Language Model (LLM) for healthcare presents a unique opportunity to enhance AI’s accessibility and relevance for Turkish-speaking medical practitioners and patients. This study introduces a specialized Turkish Medical LLM fine-tuned on over 167,732 real patient-doctor question-answer pairs sourced from a trusted medical platform and capturing authentic linguistics in Turkish medical language. Utilizing models like LLAMA 3, the fine-tuning process was supported by Low-Rank Adaptation (LoRA) and involved innovative methods to mitigate catastrophic forgetting, including spherical linear interpolation (Slerp) merging. Evaluation of the model’s performance through similarity scores, GPT-3.5 assessments, and expert reviews indicates significant improvement in the model’s ability to generate medically accurate responses. This Turkish Medical LLM demonstrates potential to support medical decision-making and patient interaction in Turkish healthcare settings, offering an essential resource for enhancing AI inclusivity across languages.
A hybrid approach for the detection of images generated with multi generator MS-DCGAN
Selim Sürücü, Banu Diri
Engineering Science and Technology an International Journal, 2025
Over the past few years, there have been significant advances in remote sensing technology that have considerably expanded the range of research that can be conducted using remote sensing systems. Various fields, from agriculture to defense applications, use remote sensing imagery, primarily acquired by sensors mounted on vehicles like satellites and UAVs. In addition to advances in remote sensing technology, there have also been major advancements in deep learning. In recent years, there has been a substantial increase in the studies on these two topics. Generative Adversarial Networks (GAN) technology, another area of artificial intelligence and deep learning research, has taken the generation of fake satellite images to a new level. Users can use these artificial images for a variety of purposes, including information concealment and data expansion. Malicious uses of the generated fake images could trigger international crises. In this paper, we propose a new method for the generation and detection of fake satellite images. The MultiSpectral Deep Convolutional GAN (MS-DCGAN) model is developed to generate fake multispectral images, and the TransStacking model is proposed to distinguish between fake images and real images. This model is tested both as a single generator and multi generator model. The TransStacking (DenseNet201+stacking) model showed a very high success rate achieving 100% accuracy for single generator and 98% accuracy for multi generator MS-DCGAN, respectively. The proposed model is an advanced hybrid model that provides the best results in multi-spectral images and can be applied in diverse domains. Since the TransStacking model is a modular hybrid model, it can be used with many different old and new models. Furthermore, the effect of the models in the base part of the stacking module on the results was also analyzed by performing ablation analysis on the DenseNet201+stacking model, where the best results were obtained.
Notification Text Generation with Large Language Models
Hakan Taşköprü, Banu Diri
33rd IEEE Conference on Signal Processing and Communications Applications Siu 2025 Proceedings, 2025
The delivery of notificationswith engaging and contextually appropriate content plays a critical role in increasing user engagement. Although Large Language Models (LLMs) are successful in text generation, systematic research on short, action-oriented content such as notification text generation is limited. In this study, Manual Prompt Creation, Automatic Prompt Creation, and Optimized Automatic Prompt Creation approaches for LLM-based notification text generation were compared. The outputs were generated using Google Gemini Pro and evaluated with LLM-based metrics such as grammatical accuracy, title-text coherence, and naturalness. The results revealed that Optimized Automatic Prompt Creation outperformed other approaches, while Manual Prompt Creation provided more diverse texts. This study contributes to the literature on notification text generation by advancing prompt engineering and introducing new evaluation metrics.
Accessible Hyperlinks and Search Engine Rankings: An Empirical Investigation
Göker Cebeci, Banu Diri
33rd IEEE Conference on Signal Processing and Communications Applications Siu 2025 Proceedings, 2025
This study investigates the impact of accessibility features of internal links on a website’s Search Engine Results Page (SERP) ranking. To test the hypothesis that accessibility influences SERP ranking, a labeled dataset was created to measure internal link accessibility. In creating this dataset, internal links on websites were matched with their corresponding subpages listed by search engines to complete the labeling process. Accessibility metrics such as "is_unique", "contrast_ratio", and "text_clarity" were extracted for the internal links using machine learning techniques. Analysis of the data suggests that accessibility features may indeed influence SERP rankings. The labeled dataset created in this study will serve as a resource for future research on internal link accessibility and SERP ranking.
Comparison of Different Segmentation Models for Image Reconstruction: A Preliminary Study
Saadet Aytaç Arpacı, Songül Varlı, Banu Diri
International Conference on Electrical Computer Communications and Mechatronics Engineering Iceccme 2025, 2025
The need to produce high-quality and more images has increased the importance of image reconstruction methods. However, the reconstruction of images by protecting complete information is still a difficult task. Therefore, image reconstruction is an important research area in current computer science, and in recent years, encoder-decoder architectures based on artificial neural networks have been investigated as an alternative to classical computer vision methods. The U-Net model is the most well-known architecture for semantic segmentation, and until today, various segmentation architectures have been developed on the basis of the U-Net model. In order to find efficient models that can perform the image reconstruction task, in this study, U-Net, which has been more studied in image segmentation, and Attention U-Net, DC-UNet, Sharp U-Net, Residual U-Net (ResUnet), and Recurrent Residual U-Net (R2U-Net) models, which were developed on the basis of U-Net, were compared and evaluated for the image reconstruction task. Furthermore, the effect of “sigmoid” and “softmax” output activation functions on each model was analyzed within the scope of the image reconstruction task. Experiments were carried out on two publicly available datasets. The evaluations were performed according to the Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR), and Structure Similarity Index Method (SSIM) criteria. As a result, it is shown that the use of the sigmoid output activation function increases the efficiency of all models. Furthermore, the R2U-Net model with a sigmoid output activation function was observed to be the most successful model. According to the results of this preliminary research, new models can be examined using different datasets for the image reconstruction task in the future.
The Effect of Convolutional Encoder-Decoder Architecture on Lossless Image Compression Applications
Saadet Aytaç Arpacı, Banu Diri, Songül Varlı
2025 Innovations in Intelligent Systems and Applications Conference Asyu 2025, 2025
According to the results we obtained, we can state that although the Huffman method fully performs the lossless compression task, quality measurements decrease depending on the synthetic images processed by the method. Therefore, this situation increases the responsibility of the image reconstruction models in the system in terms of being able to create a similar, quality image to the original image. Within the scope of the evaluation, it is shown more clearly with this study that image encoder-decoder (image reconstruction) methods, which are integrated into most current lossless compression methods, affect the performance of lossless compression methods.
Tokenization Standards and Evaluation in Natural Language Processing: A Comparative Analysis of Large Language Models on Turkish
M. Ali Bayram, Ali Arda Fincan, Ahmet Semih Gümüş, Sercan Karakaş, Banu Diri, Savaş Yıldırım
33rd IEEE Conference on Signal Processing and Communications Applications Siu 2025 Proceedings, 2025
Tokenization is a fundamental preprocessing step in Natural Language Processing (NLP), significantly impacting the capability of large language models (LLMs) to capture linguistic and semantic nuances. This study introduces a novel evaluation framework addressing tokenization challenges specific to morphologically-rich and low-resource languages such as Turkish. Utilizing the Turkish MMLU (TR-MMLU) dataset, comprising 6,200 multiple-choice questions from the Turkish education system, we assessed tokenizers based on vocabulary size, token count, processing time, language-specific token percentages (%TR), and token purity (%Pure). These newly proposed metrics measure how effectively tokenizers preserve linguistic structures. Our analysis reveals that language-specific token percentages exhibit a stronger correlation with downstream performance (e.g., MMLU scores) than token purity. Furthermore, increasing model parameters alone does not necessarily enhance linguistic performance, underscoring the importance of tailored, language-specific tokenization methods. The proposed framework establishes robust and practical tokenization standards for morphologically complex languages.
TR-MMLU Benchmark for Large Language Models: Performance Evaluation, Challenges, and Opportunities for Improvement
M. Ali Bayram, Ali Arda Fincan, Ahmet Semih Gümüş, Banu Diri, Savaş Yıldırım, Öner Aytaş
33rd IEEE Conference on Signal Processing and Communications Applications Siu 2025 Proceedings, 2025
Language models have made significant advancements in understanding and generating human language, achieving remarkable success in various applications. However, evaluating these models remains a challenge, particularly for resource-limited languages like Turkish. To address this issue, we introduce the Turkish MMLU (TR-MMLU) benchmark, a comprehensive evaluation framework designed to assess the linguistic and conceptual capabilities of large language models (LLMs) in Turkish. TR-MMLU is based on a meticulously curated dataset comprising 6,200 multiple-choice questions across 62 sections within the Turkish education system. This benchmark provides a standard framework for Turkish NLP research, enabling detailed analyses of LLMs’ capabilities in processing Turkish text. In this study, we evaluated state-of-the-art LLMs on TR-MMLU, highlighting areas for improvement in model design. TR-MMLU sets a new standard for advancing Turkish NLP research and inspiring future innovations.
Automatic Radiology Report Generation with Deep Learning Based Model Fusion Approach
Rukiye Başkara, Osman Furkan Karakuş, Ali Can Karaca, Banu Dırı, Arzu Serpil Arslan, Burcu Alparslan, Berk Sünnetçı
2025 Innovations in Intelligent Systems and Applications Conference Asyu 2025, 2025
The preparation of radiology reports from medical images is a time-consuming process and carries a risk of error, especially for inexperienced radiologists. In this study, a fusion process was performed to enable chest X-ray images to be reported more accurately and in greater detail using artificial intelligence supported models. In this context, reports generated by the high performance R2Gen and CvT2DistilGPT2 models were combined to obtain comprehensive reports. Necessary prompts were given to GPT-4 to improve the accuracy of these reports. The widely used IU X-Ray dataset was selected as the dataset. The reports were analyzed through expert evaluations and language generation metrics. Radiologist evaluations determined that the proposed model achieved a score of 2.65 out of 5, which is the closest performance to the reference score of 2.90. Additionally, the scores obtained with RadGraph_F1 and ChatGPT4o, which are important in terms of contextual and clinical accuracy, indicate that the proposed model is effective in improving the accuracy and coherence of the reports it generates.
Enhanced Feature Selection Using Genetic Algorithm for Machine-Learning-Based Phishing URL Detection
Emre Kocyigit, Mehmet Korkmaz, Ozgur Koray Sahingoz, Banu Diri
Applied Sciences Switzerland, 2024
Spectro-Temporal Energy Ratio Features for Single-Corpus and Cross-Corpus Experiments in Speech Emotion Recognition
Cevahir Parlak, Banu Diri, Yusuf Altun
Arabian Journal for Science and Engineering, 2024
Fine-grained Named Entity Recognition for Turkish
Lola Khudoyberdieva, Banu Diri
32nd IEEE Conference on Signal Processing and Communications Applications Siu 2024 Proceedings, 2024
Sentiment Relation Detection between Main Characters in Turkish Stories
Samir Ganbarli, Banu Diri
32nd IEEE Conference on Signal Processing and Communications Applications Siu 2024 Proceedings, 2024
Artificial Intelligence Revolution in Turkish Health Consultancy: Development of LLM-Based Virtual Doctor Assistants
Muhammed Kayra Bulut, Banu Diri
8th International Artificial Intelligence and Data Processing Symposium Idap 2024, 2024
An Ensemble Approach for Semi-Supervised Self Learning Algorithm
Mehmet Akdis, Ahmet Elbir, Banu Diri
2024 Innovations in Intelligent Systems and Applications Conference Asyu 2024, 2024
LLM Prompting Versus Fine-Tuning PLMs: A Comparative Study on Keyword Generation from Customer Feedback
Aleyna Er, Banu Diri, Meltem Turhan Yöndem
IFIP Advances in Information and Communication Technology, 2024
Alzheimer's Disease Detection and Dataset Creation from Spontaneous Speech
Ediz Akarsu, Zahra Huseynliz, Başar Bilgiç, Dr. Banu Diri
32nd IEEE Conference on Signal Processing and Communications Applications Siu 2024 Proceedings, 2024
Transferemble: A classification method for the detection of fake satellite images created with deep convolutional generative adversarial network
Selim Sürücü, Banu Diri
Journal of Electronic Imaging, 2023
Automatic Fake News Detection in Social Networks
Doğa Bahar, Banu Diri
2023 Innovations in Intelligent Systems and Applications Conference Asyu 2023, 2023
Detection of Style-Transfer Images Generated Using GAN with Deep Learning models
Selim Sürücü, Banu Diri
Ubmk 2023 Proceedings 8th International Conference on Computer Science and Engineering, 2023
Diagnosis of Lung Diseases From Radiography Images Using Deep Learning Methods
Onur Porsuk, Ahmet Elbir, Banu Diri
Proceedings 2022 Innovations in Intelligent Systems and Applications Conference Asyu 2022, 2022
Special issue: Innovations in Intelligent Systems and Applications
Petia Koprinkova-Hristova, Mirjana Ivanovic, Banu Diri
Journal of Information and Telecommunication, 2022
IMPACT OF N-STAGE LATENT DIRICHLET ALLOCATION ON ANALYSIS OF HEADLINE CLASSIFICATION
Zekeriya Anil Guven, Banu Diri, Tolgahan Cakaloglu
Computer Science, 2022
A Hybrid Phishing Detection System Using Deep Learning-based URL and Content Analysis
Mehmet Korkmaz, Emre Kocyigit, Ozgur Koray Sahingoz, Banu Diri
Elektronika Ir Elektrotechnika, 2022
The Performance Comparison of Gene Co-expression Networks of Breast and Prostate Cancer using Different Selection Criteria
Mustafa Özgür Cingiz, Göksel Biricik, Banu Diri
Interdisciplinary Sciences Computational Life Sciences, 2021
Phishing Web Page Detection Using N-gram Features Extracted from URLs
Mehmet Korkmaz, Emre Kocyigit, Ozgur Koray Sahingoz, Banu Diri
Hora 2021 3rd International Congress on Human Computer Interaction Optimization and Robotic Applications Proceedings, 2021
The effect of transfer learning on Turkish text classification
Gurkan Sahin, B. Diri
Siu 2021 29th IEEE Conference on Signal Processing and Communications Applications Proceedings, 2021
Deep Learning for Discussion-Based Cross-Domain Performance Prediction of MOOC Learners Grouped by Language on FutureLearn
Ismail Duru, Ayse Saliha Sunar, Su White, Banu Diri
Arabian Journal for Science and Engineering, 2021
New developer metrics for open source software development challenges: An empirical study of project recommendation systems
Abdulkadir Şeker, Banu Diri, Halil Arslan
Applied Sciences Switzerland, 2021
Hate Speech Dataset from Turkish Tweets
Islam Mayda, Yunus Emre Demir, Tugba Dalyan, Banu Diri
Proceedings 2021 Innovations in Intelligent Systems and Applications Conference Asyu 2021, 2021
Deep Neural Network Based Phishing Classification on a High-Risk URL Dataset
Mehmet Korkmaz, Emre Kocyigit, Ozgur Koray Sahingoz, Banu Diri
Advances in Intelligent Systems and Computing, 2021
Open Source Software Development Challenges: A Systematic Literature Review on GitHub
Abdulkadir Seker, Banu Diri, Halil Arslan, Mehmet Fatih Amasyalı
Research Anthology on Agile Software Software Development and Testing, 2021
Open Source Software Development Challenges: A Systematic Literature Review on GitHub
Abdulkadir Seker, Banu Diri, Halil Arslan, Mehmet Fatih Amasyalı
Research Anthology on Usage and Development of Open Source Software, 2021
A novel alignment-free DNA sequence similarity analysis approach based on top-k n-gram match-up
Emre Delibaş, Ahmet Arslan, Abdulkadir Şeker, Banu Diri
Journal of Molecular Graphics and Modelling, 2020
Sentiment Analysis for Hotel Attributes from Online Reviews
Yunus Emre Demir, Semih Durmaz, Ahmet Elbir, Ibrahim Onur Sigirci, Banu Diri
Proceedings 2020 Innovations in Intelligent Systems and Applications Conference Asyu 2020, 2020
Irony Detection with Deep Learning in Turkish Microblogs
Ahmet Karabas, Banu Diri
2020 28th Signal Processing and Communications Applications Conference Siu 2020 Proceedings, 2020
MBTI Personality Prediction with Machine Learning
Kaan Sonmezoz, Ozgur Ugur, Banu Diri
2020 28th Signal Processing and Communications Applications Conference Siu 2020 Proceedings, 2020
Open source software development challenges: A systematic literature review on GitHub
Abdulkadir Seker, Banu Diri, Halil Arslan, Mehmet Fatih Amasyalı
International Journal of Open Source Software and Processes, 2020
An Evolutionary Approach to Multiple Traveling Salesman Problem for Efficient Distribution of Pharmaceutical Products
Emre Kocyigit, Ozgur Koray Sahingoz, Banu Diri
2020 International Conference on Electrical Engineering Icee 2020, 2020
Detection of Phishing Websites by Using Machine Learning-Based URL Analysis
Mehmet Korkmaz, Ozgur Koray Sahingoz, Banu Diri
2020 11th International Conference on Computing Communication and Networking Technologies Icccnt 2020, 2020
Feature Selections for the Classification of Webpages to Detect Phishing Attacks: A Survey
Mehmet Korkmaz, Ozgur Koray Sahingoz, Banu Diri
Hora 2020 2nd International Congress on Human Computer Interaction Optimization and Robotic Applications Proceedings, 2020
Comparison of n-stage Latent Dirichlet Allocation versus other topic modeling methods for emotion analysis
Zekeriya Anıl GÜVEN, Banu DİRİ, Tolgahan ÇAKALOĞLU
Journal of the Faculty of Engineering and Architecture of Gazi University, 2020
Two-tier combinatorial structure to integrate various gene co-expression networks of prostate cancer
Mustafa Özgür Cingiz, Banu Diri
Gene, 2019
Topological and biological assessment of gene networks using miRNA-target gene data
Mustafa Ozgur Cingiz, Banu Diri
Proceedings 2019 Innovations in Intelligent Systems and Applications Conference Asyu 2019, 2019
Comparison Method for Emotion Detection of Twitter Users
Zekeriya Anil Guven, Banu Diri, Tolgahan Cakaloglu
Proceedings 2019 Innovations in Intelligent Systems and Applications Conference Asyu 2019, 2019
Comparison of Topic Modeling Methods for Type Detection of Turkish News
Zekeriya Anil Guven, Banu Diri, Tolgahan Cakaloglu
Ubmk 2019 Proceedings 4th International Conference on Computer Science and Engineering, 2019
A case study on english as a second language speakers for sustainable MOOC study
Ismail Duru, Ayse Saliha Sunar, Su White, Banu Diri, Gulustan Dogan
Sustainability Switzerland, 2019
Machine learning based phishing detection from URLs
Ozgur Koray Sahingoz, Ebubekir Buber, Onder Demir, Banu Diri
Expert Systems with Applications, 2019
Robust Feature Selection with LSTM Recurrent Neural Networks for Artificial Immune Recognition System
Canan Batur Sahin, Banu Diri
IEEE Access, 2019
A probabilistic multi-objective artificial bee colony algorithm for gene selection
Journal of Universal Computer Science, 2019
Comparative proteogenomic analysis of right-sided colon cancer, left-sided colon cancer and rectal cancer reveals distinct mutational profiles
Robin Imperial, Zaheer Ahmed, Omer M. Toor, Cihat Erdoğan, Ateeq Khaliq, Paul Case, James Case, Kevin Kennedy, Lee S. Cummings, Niklas Melton, Shahzad Raza, Banu Diri, Ramzi Mohammad, Bassel El-Rayes, Timothy Pluard, Arif Hussain, Janakiraman Subramanian, Ashiq Masood
Molecular Cancer, 2018
Multi-Stream Word-Based Compression Algorithm for Compressed Text Search
Emir Öztürk, Altan Mesut, Banu Diri
Arabian Journal for Science and Engineering, 2018
Estimating the School Dropout Trend by Using Data Mining Methods
Ahmet Elbir, Egehan Gündüz, Banu Diri
Proceedings 2018 Innovations in Intelligent Systems and Applications Conference Asyu 2018, 2018
Classification of New Titles by Two Stage Latent Dirichlet Allocation
Zekeriya Anil Guven, Banu Diri, Tolgahan Cakaloglu
Proceedings 2018 Innovations in Intelligent Systems and Applications Conference Asyu 2018, 2018
Analysis of English Language Groups with Regular Expressions
Ismail Duru, Banu Diri, M. Emir Özçevik, Kerim Ataseven, Gülüstan Dogan, Su White
Proceedings 2018 Innovations in Intelligent Systems and Applications Conference Asyu 2018, 2018
Performance analysis and CPU vs GPU comparison for deep learning
Ebubekir BUBER, Banu DIRI
2018 6th International Conference on Control Engineering and Information Technology Ceit 2018, 2018
Classification of TurkishTweet emotions by n- stage Latent Dirichlet Allocation
Zekeriya Anil Guven, Banu Diri, Tolgahan Cakaloglu
2018 Electric Electronics Computer Science Biomedical Engineerings Meeting Ebbt 2018, 2018
Web Page Classification Using RNN
Ebubekir Buber, Banu Diri
Procedia Computer Science, 2018
NLP Based Phishing Attack Detection from URLs
Ebubekir Buber, Banu Diri, Ozgur Koray Sahingoz
Advances in Intelligent Systems and Computing, 2018
Robust feature selection and classification using heuristic algorithms based on correlation feature groups
Turkish Online Journal of Educational Technology, 2017
Estimation of the proteomic cancer coexpression sub networks by using association estimators
Cihat Erdoğan, Zeyneb Kurt, Banu Diri
Plos One, 2017
Detecting phishing attacks from URL by using NLP techniques
Ebubekir Buber, Banu Dırı, Ozgur Koray Sahingoz
2nd International Conference on Computer Science and Engineering Ubmk 2017, 2017
Multi-stream word-based compression algorithm
Emir Ozturk, Altan Mesut, Banu Diri
2nd International Conference on Computer Science and Engineering Ubmk 2017, 2017
IBitABC: Improved binary artificial bee colony algorithm with local search
Zeynep Banu Ozger, Bulent Bolat, Banu Diri
2nd International Conference on Computer Science and Engineering Ubmk 2017, 2017
Investigation of social contributions of language oriented MOOC learner groups
Ismail Duru, Ayse Saliha Sunar, Gulustan Dogan, Banu Diri
2nd International Conference on Computer Science and Engineering Ubmk 2017, 2017
Obtaining stable feature selection with heuristic algorithms from density-based feature groups
Canan Batur, Banu Diri
Idap 2017 International Artificial Intelligence and Data Processing Symposium, 2017
A combinatorial approach to construct core and generic gene co-expression networks of colon cancer
Mustafa Özgür Cingiz, Göksel Biricik, Banu Diri
Proceedings 2017 IEEE International Conference on Innovations in Intelligent Systems and Applications Inista 2017, 2017
The inference of gene co-expression networks of breast and colon cancer using miRNA-target gene interactions data
Mustafa Ozgur Cingiz, Banu Diri
2017 25th Signal Processing and Communications Applications Conference Siu 2017, 2017
DNA sequence compression within traditional text compression algorithms
Abdulkadir Seker, Emre Delibas, Banu Diri
2017 25th Signal Processing and Communications Applications Conference Siu 2017, 2017
Investigation of association estimators in network inference algorithms on breast cancer proteomic data
Cihat Erdogan, Zeyneb Kurt, Banu Diri
2017 25th Signal Processing and Communications Applications Conference Siu 2017, 2017
Instance labeling in semi-supervised learning with meaning values of words
Berna Altınel, Murat Can Ganiz, Banu Diri
Engineering Applications of Artificial Intelligence, 2017
Acomparative study on binary artificial bee colony optimization methods for feature selection
Focus on Swarm Intelligence Research and Applications, 2017
ARNetMiT R Package: Association rules based gene co-expression networks of miRNA targets
M. Özgür Cingiz, G. Biricik, B. Diri
Cellular and Molecular Biology, 2017
Turkish synonym identification from multiple resources: Monolingual corpus, mono/bilingual online dictionaries, and WordNet
Tuğba YILDIZ, Banu DİRİ, Savaş YILDIRIM
Turkish Journal of Electrical Engineering and Computer Sciences, 2017
Defect prediction for Cascading Style Sheets
M. Serdar Biçer, Banu Diri
Applied Soft Computing Journal, 2016
A comparative study on binary Artificial Bee Colony optimization methods for feature selection
Zeynep Banu Ozger, Bulent Bolat, Banu Diri
Proceedings of the 2016 International Symposium on Innovations in Intelligent Systems and Applications Inista 2016, 2016
Active subnetwork GA: A two stage genetic algorithm approach to active subnetwork search
Ozan Ozisik, Burcu Bakir-Gungor, Banu Diri, Osman Ugur Sezerman
Current Bioinformatics, 2016
Turkish TV rating prediction with Twitter
Cenk Akarsu, Banu Diri
2016 24th Signal Processing and Communication Application Conference Siu 2016 Proceedings, 2016
A hybrid method for extracting Turkish part-whole relation pairs from corpus
Gürkan Şahin, Banu Diri, Tuğba Yıldız
2016 24th Signal Processing and Communication Application Conference Siu 2016 Proceedings, 2016
Document classification using ontology graph
Abdullah Tellioğlu, Faruk Rahmet, Banu Diri
2016 24th Signal Processing and Communication Application Conference Siu 2016 Proceedings, 2016
Acquisition of Turkish meronym based on classification of patterns
Tuǧba Yıldız, Banu Diri, Savaş Yıldırım
Pattern Analysis and Applications, 2016
A study on turkish meronym extraction using a variety of lexico-syntactic patterns
Tuğba Yıldız, Savaş Yıldırım, Banu Diri
Lecture Notes in Computer Science, 2016
An overview of studies about students' performance analysis and learning analytics in MOOCs
Ismail Duru, Gulustan Dogan, Banu Diri
Proceedings 2016 IEEE International Conference on Big Data Big Data 2016, 2016
A novel semantic smoothing kernel for text classification with class-based weighting
Berna Altınel, Banu Diri, Murat Can Ganiz
Knowledge Based Systems, 2015
Automatic linking of wikipedia pages by their semantic similarity
F. Yesjm Ikikat, Behire Gurhan, Banu Diri
Inista 2015 2015 International Symposium on Innovations in Intelligent Systems and Applications Proceedings, 2015
A corpus-based semantic kernel for text classification by using meaning values of terms
Berna Altınel, Murat Can Ganiz, Banu Diri
Engineering Applications of Artificial Intelligence, 2015
Am i typing fresh tweets: Detecting up-to-dateness and worth of categorical information in microblogs
Mustafa Özgür Cingiz, Banu Diri, Göksel Biricik
Expert Systems with Applications, 2015
MoBraille: Mobile framework for visually impaired users
Hakan Kalmaç, Banu Diri
2015 23rd Signal Processing and Communications Applications Conference Siu 2015 Proceedings, 2015
Correction of Turkish characters with a web-based semantic method
Furkan Cakmak, Banu Diri
2015 23rd Signal Processing and Communications Applications Conference Siu 2015 Proceedings, 2015
Pattern and semantic similarity based automatic extraction of hyponym-hypernym relation from Turkish corpus
Gürkan Sahin, Banu Diri, Tuğba Yıldız
2015 23rd Signal Processing and Communications Applications Conference Siu 2015 Proceedings, 2015
Predicting defect prone modules in web applications
Mehmet Serdar Biçer, Banu Diri
Communications in Computer and Information Science, 2015
Yazilim hata tahmininin web uygulamalarinda kullanilabilirliʇi
Ceur Workshop Proceedings, 2014
Sentiment analysis on Twitter
Meric Meral, Banu Diri
2014 22nd Signal Processing and Communications Applications Conference Siu 2014 Proceedings, 2014
Semantic relation extraction by Conditional Random Fields from Turkish Wikipedia pages
Canan Girgin, Banu Diri
2014 22nd Signal Processing and Communications Applications Conference Siu 2014 Proceedings, 2014
A semantic kernel for text classification based on iterative higher-order relations between words and documents
Berna Altinel, Murat Can Ganiz, Banu Diri
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2014
Question identification on Turkish tweets
Zeynep Banu Ozger, Banu Diri, Canan Girgin
Inista 2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications Proceedings, 2014
An integrated approach to automatic synonym detection in Turkish corpus
Tuğba Yıldız, Savaş Yıldırım, Banu Diri
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2014
A Cross-Corpus Experiment in Speech Emotion Recognition
2nd Workshop on Speech Language and Audio in Multimedia Slam 2014, 2014
A simple semantic kernel approach for SVM using higher-order paths
Berna Altinel, Murat Can Ganiz, Banu Diri
Inista 2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications Proceedings, 2014
Sentence selection methods for text summarization
Aysun Guran, Sumeyra Nur Arslan, Esma Kilic, Banu Diri
2014 22nd Signal Processing and Communications Applications Conference Siu 2014 Proceedings, 2014
Emotion recognition from the human voice
C. Parlak, B. Diri
2013 21st Signal Processing and Communications Applications Conference Siu 2013, 2013
Search result clustering studies in Turkish
B. Dural, B. Diri
2013 21st Signal Processing and Communications Applications Conference Siu 2013, 2013
Identifying questions on Turkish tweets
C. Cengiz, B. Diri
2013 21st Signal Processing and Communications Applications Conference Siu 2013, 2013
Determination of TV programme ratings by twitter
D. Kayahan, A. Sergin, B. Diri
2013 21st Signal Processing and Communications Applications Conference Siu 2013, 2013
A fault detection strategy for software projects
Tehnicki Vjesnik, 2013
Analyzing the performance differences between pattern matching and compressed pattern matching on texts
Cihat Erdogan, H Nusret Bulus, Banu Diri
2013 International Conference on Electronics Computer and Computation Icecco 2013, 2013
Extraction of part-whole relations from Turkish corpora
Tuğba Yıldız, Savaş Yıldırım, Banu Diri
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2013
A novel higher-order semantic kernel for text classification
Berna Altlnel, Murat Can Ganiz, Banu Diri
2013 International Conference on Electronics Computer and Computation Icecco 2013, 2013
A genetic algorithm approach to active subnetwork search applied to GWAS data
Ozan Ozsik, Burcu Bakir-Gungor, Banu Diri, Osman Ugur Sezerman
2013 8th International Symposium on Health Informatics and Bioinformatics Hibit 2013, 2013
Content mining of microblogs
M. O. Cingiz, B. Diri
Proceedings of the 2012 IEEE ACM International Conference on Advances in Social Networks Analysis and Mining Asonam 2012, 2012
Abstract feature extraction for text classification
GÖKSEL BİRİCİK, BANU DİRİ, AHMET COŞKUN SÖNMEZ
Turkish Journal of Electrical Engineering and Computer Sciences, 2012
Automatic subject-object-verb relation extraction
Merve Temizer, Banu Diri
Inista 2012 International Symposium on Innovations in Intelligent Systems and Applications, 2012
Geographically showing given incident information
Fatih Ozkan, Banu Diri
2012 20th Signal Processing and Communications Applications Conference Siu 2012 Proceedings, 2012
Classification of microblogging users
M. Ozgur Cingiz, Banu Diri
2012 20th Signal Processing and Communications Applications Conference Siu 2012 Proceedings, 2012
Author recognition by abstract feature extraction
Murat Yasdi, Banu Diri
2012 20th Signal Processing and Communications Applications Conference Siu 2012 Proceedings, 2012
Web-Ear, an information retrieval system that uses reported speech expressions in Turkish
C. B. Ozdemir, B. Diri
Inista 2011 2011 International Symposium on Innovations in Intelligent Systems and Applications, 2011
Named entity recognition by Conditional Random Fields from Turkish informal texts
Mehmet Saman, Mehmet Karakose, Erhan Akin
2011 IEEE 19th Signal Processing and Communications Applications Conference Siu 2011, 2011
Demographic information classification exploiting spoken language
Cem Keskin, Ali Taylan Cemgil, Lale Akarun
2011 IEEE 19th Signal Processing and Communications Applications Conference Siu 2011, 2011
Practical development of an Eclipse-based software fault prediction tool using Naive Bayes algorithm
Cagatay Catal, Ugur Sevim, Banu Diri
Expert Systems with Applications, 2011
Comparison of creatinine measurement methods developed for "true" creatinine
Turkish Journal of Biochemistry, 2011
Morphology based text compression
Hayriye Goksu, Banu Diri
Siu 2010 IEEE 18th Signal Processing and Communications Applications Conference, 2010
Lossy compression of color images based on color spaces
S. Burak Boke, Banu Diri, Zeyneb Kurt Yavuz
Siu 2010 IEEE 18th Signal Processing and Communications Applications Conference, 2010
Named entity recognition from Turkish texts
Faik Erdem Dalkılıç, Semih Gelişli, Banu Diri
Siu 2010 IEEE 18th Signal Processing and Communications Applications Conference, 2010
Metrics-driven software quality prediction without prior fault data
Cagatay Catal, Ugur Sevim, Banu Diri
Lecture Notes in Electrical Engineering, 2010
TimeML and Turkish temporal logic
Proceedings of the 2010 International Conference on Artificial Intelligence Icai 2010, 2010
A new method for attribute extraction with application on text classification
Goksel Biricik, Banu Diri, Ahmet Coskun Sonmez
Icsccw 2009 5th International Conference on Soft Computing Computing with Words and Perceptions in System Analysis Decision and Control, 2009
Clustering and metrics thresholds based software fault prediction of unlabeled program modules
Cagatay Catal, Ugur Sevim, Banu Diri
Itng 2009 6th International Conference on Information Technology New Generations, 2009
Unlabelled extra data do not always mean extra performance for semi-supervised fault prediction
Cagatay Catal, Banu Diri
Expert Systems, 2009
Managem ont: A semantic approach to software engineering management process
Baris Ulu, Banu Diri
Communications in Computer and Information Science, 2009
A systematic review of software fault prediction studies
Cagatay Catal, Banu Diri
Expert Systems with Applications, 2009
Investigating the effect of dataset size, metrics sets, and feature selection techniques on software fault prediction problem
Cagatay Catal, Banu Diri
Information Sciences, 2009
Genre and author detection in Turkish texts using Artificial Immune Recognition Systems
Zafer Kaban, Banu Diri
2008 IEEE 16th Signal Processing Communication and Applications Conference Siu, 2008
Increasing classification accuracy of relevance vector machine on hyperspectral images with preprocessing
Zafer Kiziltoprak, Begum Demir, Banu Diri
2008 IEEE 16th Signal Processing Communication and Applications Conference Siu, 2008
A conceptual framework to integrate fault prediction sub-process for software product lines
Cagatay Catal, Banu Diri
Proceedings 2nd IFIP IEEE International Symposium on Theoretical Aspects of Software Engineering Tase 2008, 2008
A fault prediction model with limited fault data to improve test process
Cagatay Catal, Banu Diri
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2008
Visualization and analysis of classifiers performance in multi-class medical data
Banu Diri, Songul Albayrak
Expert Systems with Applications, 2008
Software defect prediction using artificial immune recognition system
Proceedings of the IASTED International Conference on Software Engineering Se 2007, 2007
Software process ontology
Lecture Notes in Engineering and Computer Science, 2007
A new feature extraction method for text classification
H. Kemal Yildiz, Murat Genctav, Nurullah Usta, Banu Diri, M. Fatih Amasyali
2007 IEEE 15th Signal Processing and Communications Applications Siu, 2007
An artificial immune system approach for fault prediction in object-oriented software
Cagatay Catal, Banu Diri, Bulent Ozumut
Proceedings International Conference on Dependability of Computer Systems Depcos Relcomex 2007, 2007
Software fault prediction with object-oriented metrics based artificial immune recognition system
Cagatay Catal, Banu Diri
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2007
Author attribution of turkish texts by feature mining
Filiz Türkoğlu, Banu Diri, M. Fatih Amasyalı
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2007
Color image compression using self organizing feature map
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications Aia 2006, 2006
Automatic Turkish text categorization in terms of author, genre and gender
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2006

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