An Integrated Decoding Framework for Audio Watermark Extraction. - Yusuf Yaslan; Bilge Günsel (ICPR (2), 2004)

Robust audio watermark decoding by nonlinear classification. - Serap Kirbiz; Yusuf Yaslan; Bilge Günsel (EUSIPCO, 2005)

Pollen classification using RBF networks. - F. Kesgin; Yusuf Yaslan (Computational Intelligence, 2006)

Audio Music Genre Classification Using Different Classifiers and Feature Selection Methods. - Yusuf Yaslan; Zehra Cataltepe (ICPR (2), 2006)

A Genetic Programming Classifier Design Approach for Cell Images. - Aydin Akyol; Yusuf Yaslan; Osman Kaan Erol (ECSQARU, 2007)

A Comparison Framework of Similarity Metrics Used for Web Access Log Analysis. - Yusuf Yaslan; Zehra Cataltepe (MLDM Posters, 2007)

Music Genre Classification Using MIDI and Audio Features. - Zehra Cataltepe; Yusuf Yaslan; Abdullah Sonmez (EURASIP J. Adv. Signal Process., 2007)

An integrated on-line audio watermark decoding scheme for broadcast monitoring. - Yusuf Yaslan; Bilge Günsel (Multim. Tools Appl., 2008)

Random Relevant and Non-redundant Feature Subspaces for Co-training. - Yusuf Yaslan; Zehra Cataltepe (IDEAL, 2009)

Relevant subtask learning by constrained mixture models. - Jaakko Peltonen; Yusuf Yaslan; Samuel Kaski (Intell. Data Anal., 2010)

Co-training with relevant random subspaces. - Yusuf Yaslan; Zehra Cataltepe (Neurocomputing, 2010)

Supervised and semi-supervised learning using informative feature subspaces (Bilgi içeren öznitelik alt uzayları ile eğitmenli ve yarı eğitmenli öğrenme) - Yusuf Yaslan (2010)

A hybrid method for time series prediction using EMD and SVR. - Bahadir Bican; Yusuf Yaslan (ISCCSP, 2014)

A Comparison Study on Ensemble Strategies and Feature Sets for Sentiment Analysis. - Deniz Aldogan; Yusuf Yaslan (ISCIS, 2015)

A disagreement based co-active learning method for sleep stage classification. - Ayse Betul Yuce; Yusuf Yaslan (IWSSIP, 2016)

Short term traffic speed prediction using different feature sets and sensor clusters. - Halil Gulacar; Yusuf Yaslan; Sema F. Oktug (NOMS, 2016)

Dictionary ensemble based multi instance active learning method for image categorization. - Gökhan Koçyigit; Yusuf Yaslan (SIU, 2016)

Data classification using sparse coding based active learning. - Göksu Tüysüzoglu; Yusuf Yaslan (SIU, 2016)

Multi channel brain EEG signals based emotional arousal classification with unsupervised feature learning using autoencoders. - Deger Ayata; Yusuf Yaslan; Mustafa E. Kamasak (SIU, 2017)

Using co-training to empower active learning. - Payam V. Azad; Yusuf Yaslan (SIU, 2017)

Stock market direction prediction using deep neural networks. - Hakan Gunduz; Zehra Cataltepe; Yusuf Yaslan (SIU, 2017)

Big data and smart city platforms. - Sema F. Oktug; Yusuf Yaslan (SIU, 2017)

Biomedical data classification using supervised classifiers and ensemble based dictionaries. - Göksu Tüysüzoglu; Yusuf Yaslan (SIU, 2017)

A comparison study on active learning integrated ensemble approaches in sentiment analysis. - Deniz Aldogan; Yusuf Yaslan (Comput. Electr. Eng., 2017)

Stock daily return prediction using expanded features and feature selection. - Hakan Gündüz; Zehra Çataltepe; Yusuf Yaslan (Turkish J. Electr. Eng. Comput. Sci., 2017)

Intraday prediction of Borsa Istanbul using convolutional neural networks and feature correlations. - Hakan Gunduz; Yusuf Yaslan; Zehra Cataltepe (Knowl. Based Syst., 2017)

Classifying Malicious Thread Behavior in PaaS Web Services. - Cemile Diler Özdemir; Mehmet Tahir Sandikkaya; Yusuf Yaslan (CLOSER, 2018)

Malicious Behavior Classification in PaaS. - Cemile Diler Özdemir; Mehmet Tahir Sandikkaya; Yusuf Yaslan (CLOSER (Selected Papers), 2018)

A Smart City Application: Business Location Estimator Using Machine Learning Techniques. - Tugçe Bilen; Müge Erel Ozcevik; Yusuf Yaslan; Sema F. Oktug (HPCC/SmartCity/DSS, 2018)

Failure Detection Using Proprioceptive, Auditory and Visual Modalities. - Arda Inceoglu; Gökhan Ince; Yusuf Yaslan; Sanem Sariel (IROS, 2018)

Task-based clustering on search queries. - Almila Selcen Akgun; Yusuf Yaslan (SIU, 2018)

Comparison of feature selection methods in voice based emotion recognition systems. - Tolga Atalay; Deger Ayata; Yusuf Yaslan (SIU, 2018)

Stock market prediction with deep learning using financial news. - Hakan Gündüz; Yusuf Yaslan; Zehra Cataltepe (SIU, 2018)

DEMIAL: an active learning framework for multiple instance image classification using dictionary ensembles. - Gökhan Koçyigit; Yusuf Yaslan (Turkish J. Electr. Eng. Comput. Sci., 2018)

Sparse coding based classifier ensembles in supervised and active learning scenarios for data classification. - Göksu Tüysüzoglu; Yusuf Yaslan (Expert Syst. Appl., 2018)

Emotion Based Music Recommendation System Using Wearable Physiological Sensors. - Deger Ayata; Yusuf Yaslan; Mustafa E. Kamasak (IEEE Trans. Consumer Electron., 2018)

Item Prediction with RNN Using Different Types of User-Item Interactions. - Fulya Çelebi Sarioglu; Yusuf Yaslan (SIU, 2019)

Dissimilarity-based multi-instance learning using dictionary learning and sparse coding ensembles. - Nazanin Moarref; Yusuf Yaslan (Comput. Electr. Eng., 2019)

DeMETER in clouds: detection of malicious external thread execution in runtime with machine learning in PaaS clouds. - Mehmet Tahir Sandikkaya; Yusuf Yaslan; Cemile Diler Özdemir (Clust. Comput., 2020)

A context-aware mobile application framework using audio watermarking. - Yusuf Yaslan; Bilge Günsel (Multim. Syst., 2020)

GeoAKOM: A Smart Geocasting Protocol for Vehicular Networks. - Ezgi Tetik Saglam; Yusuf Yaslan; Sema F. Oktug (ANT/EDI40, 2021)

LoRaWAN-aided Waste-to-Energy Concept Model in Smart Cities. - Elif Ak; Kiymet Kaya; Yusuf Yaslan; Sema Fatma Oktug (CITS, 2021)

Next Item Prediction Using Neural Networks with Embedding Initialized Weights. - Çagri Emre Yildiz; Mustafa Aker; Yusuf Yaslan (EUROCON, 2021)

Waste-to-Energy Framework: An intelligent energy recycling management. - Kiymet Kaya; Elif Ak; Yusuf Yaslan; Sema Fatma Oktug (Sustain. Comput. Informatics Syst., 2021)

Demand forecasting model using hotel clustering findings for hospitality industry. - Kiymet Kaya; Yaren Yilmaz; Yusuf Yaslan; Sule Gündüz Ögüdücü; Furkan Çingi (Inf. Process. Manag., 2022)

Graph Autoencoder with Community Neighborhood Network. - Ahmet Tüzen; Yusuf Yaslan (ISPR (2), 2023)

Topological Similarity and Centrality Driven Hybrid Deep Learning for Temporal Link Prediction. - Abubakhari Sserwadda; Alper Ozcan; Yusuf Yaslan (J. Univers. Comput. Sci., 2023)

Structural and topological guided GCN for link prediction in temporal networks. - Abubakhari Sserwadda; Alper Ozcan; Yusuf Yaslan (J. Ambient Intell. Humaniz. Comput., 2023)

Does Twinning Vehicular Networks Enhance Their Performance in Dense Areas? - Sarah Al-Shareeda; Sema F. Oktug; Yusuf Yaslan; Gökhan Yurdakul; Berk Canberk (CCNC, 2024)

Adversarial random graph neural network for anomaly detection. - Ahmet Tüzen; Yusuf Yaslan (Digit. Signal Process., 2024)

Graph-SeTES: A graph based search task extraction using Siamese network. - Nurullah Ates; Yusuf Yaslan (Inf. Sci., 2024)

DeGAN - Decomposition-based unified anomaly detection in static networks. - Ahmet Tüzen; Yusuf Yaslan (Inf. Sci., 2024)

A reinforcement learning based dynamic room pricing model for hotel industry. - Gamze Tuncay; Kiymet Kaya; Yaren Yilmaz; Yusuf Yaslan; Sule Gündüz Ögüdücü (INFOR Inf. Syst. Oper. Res., 2024)

Synthetic Data Generation and Federated Learning as Innovative Solutions for Data Privacy in Finance. - Elif Özcan; Rusen Halepmollasi; Yusuf Yaslan (FEMIB, 2025)

Search task extraction using k-contour based recurrent deep graph clustering. - Nurullah Ates; Yusuf Yaslan (Eng. Appl. Artif. Intell., 2025)