Yusuf Yaslan

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 40

Top Topics

Sentiment Analysis

Active Learning

Top Venues

Comput. Electr. Eng.

Turkish J. Electr. Eng. Comput. Sci.

Publications

Sarah Al-Shareeda, Sema F. Oktug, Yusuf Yaslan, Gökhan Yurdakul, Berk Canberk
Does Twinning Vehicular Networks Enhance Their Performance in Dense Areas? CCNC (2024)
Gamze Tuncay, Kiymet Kaya, Yaren Yilmaz, Yusuf Yaslan, Sule Gündüz Ögüdücü
A reinforcement learning based dynamic room pricing model for hotel industry. INFOR Inf. Syst. Oper. Res. 62 (2) (2024)
Ahmet Tüzen, Yusuf Yaslan
DeGAN - Decomposition-based unified anomaly detection in static networks. Inf. Sci. 677 (2024)
Sarah Al-Shareeda, Sema F. Oktug, Yusuf Yaslan, Gokhan Yurdakul, Berk Canberk
Does Twinning Vehicular Networks Enhance Their Performance in Dense Areas? CoRR (2024)
Nurullah Ates, Yusuf Yaslan
Graph-SeTES: A graph based search task extraction using Siamese network. Inf. Sci. 665 (2024)
Ahmet Tüzen, Yusuf Yaslan
Adversarial random graph neural network for anomaly detection. Digit. Signal Process. 146 (2024)
Ahmet Tüzen, Yusuf Yaslan
Graph Autoencoder with Community Neighborhood Network. ISPR (2) (2023)
Abubakhari Sserwadda, Alper Ozcan, Yusuf Yaslan
Structural and topological guided GCN for link prediction in temporal networks. J. Ambient Intell. Humaniz. Comput. 14 (7) (2023)
Abubakhari Sserwadda, Alper Ozcan, Yusuf Yaslan
Topological Similarity and Centrality Driven Hybrid Deep Learning for Temporal Link Prediction. J. Univers. Comput. Sci. 29 (5) (2023)
Kiymet Kaya, Yaren Yilmaz, Yusuf Yaslan, Sule Gündüz Ögüdücü, Furkan Çingi
Demand forecasting model using hotel clustering findings for hospitality industry. Inf. Process. Manag. 59 (1) (2022)
Ezgi Tetik Saglam, Yusuf Yaslan, Sema F. Oktug
GeoAKOM: A Smart Geocasting Protocol for Vehicular Networks. ANT/EDI40 (2021)
Kiymet Kaya, Elif Ak, Yusuf Yaslan, Sema Fatma Oktug
Waste-to-Energy Framework: An intelligent energy recycling management. Sustain. Comput. Informatics Syst. 30 (2021)
Elif Ak, Kiymet Kaya, Yusuf Yaslan, Sema Fatma Oktug
LoRaWAN-aided Waste-to-Energy Concept Model in Smart Cities. CITS (2021)
Cagri Emre Yildiz, Mustafa Aker, Yusuf Yaslan
Next Item Prediction Using Neural Networks with Embedding Initialized Weights. EUROCON (2021)
Yusuf Yaslan, Bilge Günsel
A context-aware mobile application framework using audio watermarking. Multim. Syst. 26 (3) (2020)
Mehmet Tahir Sandikkaya, Yusuf Yaslan, Cemile Diler Özdemir
DeMETER in clouds: detection of malicious external thread execution in runtime with machine learning in PaaS clouds. Clust. Comput. 23 (4) (2020)
Nazanin Moarref, Yusuf Yaslan
Dissimilarity-based multi-instance learning using dictionary learning and sparse coding ensembles. Comput. Electr. Eng. 80 (2019)
Fulya Çelebi Sarioglu, Yusuf Yaslan
Item Prediction with RNN Using Different Types of User-Item Interactions. SIU (2019)
Cemile Diler Özdemir, Mehmet Tahir Sandikkaya, Yusuf Yaslan
Classifying Malicious Thread Behavior in PaaS Web Services. CLOSER (2018)
Goksu Tuysuzoglu, Yusuf Yaslan
Sparse coding based classifier ensembles in supervised and active learning scenarios for data classification. Expert Syst. Appl. 91 (2018)
Tolga Atalay, Deger Ayata, Yusuf Yaslan
Comparison of feature selection methods in voice based emotion recognition systems. SIU (2018)
Tugçe Bilen, Müge Erel Ozcevik, Yusuf Yaslan, Sema F. Oktug
A Smart City Application: Business Location Estimator Using Machine Learning Techniques. HPCC/SmartCity/DSS (2018)
Deger Ayata, Yusuf Yaslan, Mustafa E. Kamasak
Emotion Based Music Recommendation System Using Wearable Physiological Sensors. IEEE Trans. Consumer Electron. 64 (2) (2018)
Almila Selcen Akgun, Yusuf Yaslan
Task-based clustering on search queries. SIU (2018)
Hakan Gündüz, Yusuf Yaslan, Zehra Cataltepe
Stock market prediction with deep learning using financial news. SIU (2018)
Cemile Diler Özdemir, Mehmet Tahir Sandikkaya, Yusuf Yaslan
Malicious Behavior Classification in PaaS. CLOSER (Selected Papers) (2018)
Gökhan Koçyigit, Yusuf Yaslan
DEMIAL: an active learning framework for multiple instance image classification using dictionary ensembles. Turkish J. Electr. Eng. Comput. Sci. 26 (1) (2018)
Arda Inceoglu, Gökhan Ince, Yusuf Yaslan, Sanem Sariel
Failure Detection Using Proprioceptive, Auditory and Visual Modalities. IROS (2018)
Hakan Gunduz, Zehra Cataltepe, Yusuf Yaslan
Stock market direction prediction using deep neural networks. SIU (2017)
Deniz Aldogan, Yusuf Yaslan
A comparison study on active learning integrated ensemble approaches in sentiment analysis. Comput. Electr. Eng. 57 (2017)
Payam V. Azad, Yusuf Yaslan
Using co-training to empower active learning. SIU (2017)
Sema F. Oktug, Yusuf Yaslan
Big data and smart city platforms. SIU (2017)
Hakan Gündüz, Zehra Çataltepe, Yusuf Yaslan
Stock daily return prediction using expanded features and feature selection. Turkish J. Electr. Eng. Comput. Sci. 25 (2017)
Goksu Tuysuzoglu, Yusuf Yaslan
Biomedical data classification using supervised classifiers and ensemble based dictionaries. SIU (2017)
Deger Ayata, Yusuf Yaslan, Mustafa E. Kamasak
Multi channel brain EEG signals based emotional arousal classification with unsupervised feature learning using autoencoders. SIU (2017)
Hakan Gunduz, Yusuf Yaslan, Zehra Cataltepe
Intraday prediction of Borsa Istanbul using convolutional neural networks and feature correlations. Knowl. Based Syst. 137 (2017)
Goksu Tuysuzoglu, Yusuf Yaslan
Data classification using sparse coding based active learning. SIU (2016)
Halil Gulacar, Yusuf Yaslan, Sema F. Oktug
Short term traffic speed prediction using different feature sets and sensor clusters. NOMS (2016)
Gökhan Koçyigit, Yusuf Yaslan
Dictionary ensemble based multi instance active learning method for image categorization. SIU (2016)
Ayse Betul Yuce, Yusuf Yaslan
A disagreement based co-active learning method for sleep stage classification. IWSSIP (2016)
Deniz Aldogan, Yusuf Yaslan
A Comparison Study on Ensemble Strategies and Feature Sets for Sentiment Analysis. ISCIS (2015)
Bahadir Bican, Yusuf Yaslan
A hybrid method for time series prediction using EMD and SVR. ISCCSP (2014)
Yusuf Yaslan, Zehra Cataltepe
Co-training with relevant random subspaces. Neurocomputing 73 (10-12) (2010)
Jaakko Peltonen, Yusuf Yaslan, Samuel Kaski
Relevant subtask learning by constrained mixture models. Intell. Data Anal. 14 (6) (2010)
Yusuf Yaslan, Zehra Cataltepe
Random Relevant and Non-redundant Feature Subspaces for Co-training. IDEAL (2009)
Yusuf Yaslan, Bilge Günsel
An integrated on-line audio watermark decoding scheme for broadcast monitoring. Multim. Tools Appl. 40 (1) (2008)
Aydin Akyol, Yusuf Yaslan, Osman Kaan Erol
A Genetic Programming Classifier Design Approach for Cell Images. ECSQARU (2007)
Zehra Cataltepe, Yusuf Yaslan, Abdullah Sonmez
Music Genre Classification Using MIDI and Audio Features. EURASIP J. Adv. Signal Process. 2007 (2007)
Yusuf Yaslan, Zehra Cataltepe
A Comparison Framework of Similarity Metrics Used for Web Access Log Analysis. MLDM Posters (2007)
F. Kesgin, Yusuf Yaslan
Pollen classification using RBF networks. Computational Intelligence (2006)
Yusuf Yaslan, Zehra Cataltepe
Audio Music Genre Classification Using Different Classifiers and Feature Selection Methods. ICPR (2) (2006)
Serap Kirbiz, Yusuf Yaslan, Bilge Günsel
Robust audio watermark decoding by nonlinear classification. EUSIPCO (2005)
Yusuf Yaslan, Bilge Günsel
An Integrated Decoding Framework for Audio Watermark Extraction. ICPR (2) (2004)