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ORCIDYusuf Yaslan
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2020 – today
- 2025
[j22]Nurullah Ates
, Yusuf Yaslan:
Search task extraction using k-contour based recurrent deep graph clustering. Eng. Appl. Artif. Intell. 139: 109501 (2025)- 2024
- [j21]Ahmet Tüzen, Yusuf Yaslan:
Adversarial random graph neural network for anomaly detection. Digit. Signal Process. 146: 104374 (2024) - [j20]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): 211-231 (2024) - [j19]Nurullah Ates, Yusuf Yaslan:
Graph-SeTES: A graph based search task extraction using Siamese network. Inf. Sci. 665: 120346 (2024) - [j18]Ahmet Tüzen, Yusuf Yaslan:
DeGAN - Decomposition-based unified anomaly detection in static networks. Inf. Sci. 677: 120886 (2024) - [c31]Sarah Al-Shareeda, Sema F. Oktug, Yusuf Yaslan, Gökhan Yurdakul, Berk Canberk:
Does Twinning Vehicular Networks Enhance Their Performance in Dense Areas? CCNC 2024: 1-6 - [i1]Sarah Al-Shareeda, Sema F. Oktug, Yusuf Yaslan, Gökhan Yurdakul, Berk Canberk:
Does Twinning Vehicular Networks Enhance Their Performance in Dense Areas? CoRR abs/2402.10701 (2024) - 2023
- [j17]Abubakhari Sserwadda, Alper Ozcan, Yusuf Yaslan:
Structural and topological guided GCN for link prediction in temporal networks. J. Ambient Intell. Humaniz. Comput. 14(7): 9667-9675 (2023) - [j16]Abubakhari Sserwadda, Alper Ozcan, Yusuf Yaslan:
Topological Similarity and Centrality Driven Hybrid Deep Learning for Temporal Link Prediction. J. Univers. Comput. Sci. 29(5): 470-490 (2023) - [c30]Ahmet Tüzen, Yusuf Yaslan:
Graph Autoencoder with Community Neighborhood Network. ISPR (2) 2023: 247-261 - 2022
- [j15]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): 102816 (2022) - 2021
- [j14]Kiymet Kaya, Elif Ak, Yusuf Yaslan, Sema Fatma Oktug:
Waste-to-Energy Framework: An intelligent energy recycling management. Sustain. Comput. Informatics Syst. 30: 100548 (2021) - [c29]Ezgi Tetik Saglam, Yusuf Yaslan, Sema F. Oktug:
GeoAKOM: A Smart Geocasting Protocol for Vehicular Networks. ANT/EDI40 2021: 364-371 - [c28]Elif Ak, Kiymet Kaya, Yusuf Yaslan, Sema Fatma Oktug:
LoRaWAN-aided Waste-to-Energy Concept Model in Smart Cities. CITS 2021: 1-5 - [c27]Çagri Emre Yildiz, Mustafa Aker, Yusuf Yaslan:
Next Item Prediction Using Neural Networks with Embedding Initialized Weights. EUROCON 2021: 338-342 - 2020
- [j13]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): 2565-2578 (2020) - [j12]Yusuf Yaslan, Bilge Günsel:
A context-aware mobile application framework using audio watermarking. Multim. Syst. 26(3): 323-337 (2020)
2010 – 2019
- 2019
- [j11]Nazanin Moarref, Yusuf Yaslan:
Dissimilarity-based multi-instance learning using dictionary learning and sparse coding ensembles. Comput. Electr. Eng. 80 (2019) - [c26]Fulya Çelebi Sarioglu, Yusuf Yaslan:
Item Prediction with RNN Using Different Types of User-Item Interactions. SIU 2019: 1-4 - 2018
- [j10]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): 593-604 (2018) - [j9]Göksu Tüysüzoglu, Yusuf Yaslan:
Sparse coding based classifier ensembles in supervised and active learning scenarios for data classification. Expert Syst. Appl. 91: 364-373 (2018) - [j8]Deger Ayata, Yusuf Yaslan, Mustafa E. Kamasak:
Emotion Based Music Recommendation System Using Wearable Physiological Sensors. IEEE Trans. Consumer Electron. 64(2): 196-203 (2018) - [c25]Cemile Diler Özdemir, Mehmet Tahir Sandikkaya, Yusuf Yaslan:
Malicious Behavior Classification in PaaS. CLOSER (Selected Papers) 2018: 215-232 - [c24]Cemile Diler Özdemir, Mehmet Tahir Sandikkaya, Yusuf Yaslan:
Classifying Malicious Thread Behavior in PaaS Web Services. CLOSER 2018: 418-425 - [c23]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: 1314-1321 - [c22]Arda Inceoglu, Gökhan Ince, Yusuf Yaslan, Sanem Sariel:
Failure Detection Using Proprioceptive, Auditory and Visual Modalities. IROS 2018: 2491-2496 - [c21]Almila Selcen Akgun, Yusuf Yaslan:
Task-based clustering on search queries. SIU 2018: 1-4 - [c20]Tolga Atalay, Deger Ayata, Yusuf Yaslan:
Comparison of feature selection methods in voice based emotion recognition systems. SIU 2018: 1-4 - [c19]Hakan Gündüz, Yusuf Yaslan, Zehra Cataltepe:
Stock market prediction with deep learning using financial news. SIU 2018: 1-4 - 2017
- [j7]Deniz Aldogan, Yusuf Yaslan:
A comparison study on active learning integrated ensemble approaches in sentiment analysis. Comput. Electr. Eng. 57: 311-323 (2017) - [j6]Hakan Gündüz, Zehra Çataltepe, Yusuf Yaslan:
Stock daily return prediction using expanded features and feature selection. Turkish J. Electr. Eng. Comput. Sci. 25: 4829-4840 (2017) - [j5]Hakan Gunduz, Yusuf Yaslan, Zehra Cataltepe:
Intraday prediction of Borsa Istanbul using convolutional neural networks and feature correlations. Knowl. Based Syst. 137: 138-148 (2017) - [c18]Deger Ayata, Yusuf Yaslan, Mustafa E. Kamasak:
Multi channel brain EEG signals based emotional arousal classification with unsupervised feature learning using autoencoders. SIU 2017: 1-4 - [c17]Payam V. Azad, Yusuf Yaslan:
Using co-training to empower active learning. SIU 2017: 1-4 - [c16]Hakan Gunduz, Zehra Cataltepe, Yusuf Yaslan:
Stock market direction prediction using deep neural networks. SIU 2017: 1-4 - [c15]Sema F. Oktug, Yusuf Yaslan:
Big data and smart city platforms. SIU 2017: 1-4 - [c14]Göksu Tüysüzoglu, Yusuf Yaslan:
Biomedical data classification using supervised classifiers and ensemble based dictionaries. SIU 2017: 1-4 - 2016
- [c13]Ayse Betul Yuce, Yusuf Yaslan:
A disagreement based co-active learning method for sleep stage classification. IWSSIP 2016: 1-4 - [c12]Halil Gulacar, Yusuf Yaslan, Sema F. Oktug:
Short term traffic speed prediction using different feature sets and sensor clusters. NOMS 2016: 1265-1268 - [c11]Göksu Tüysüzoglu, Yusuf Yaslan:
Data classification using sparse coding based active learning. SIU 2016: 701-704 - [c10]Gökhan Koçyigit, Yusuf Yaslan:
Dictionary ensemble based multi instance active learning method for image categorization. SIU 2016: 1221-1224 - 2015
- [c9]Deniz Aldogan, Yusuf Yaslan:
A Comparison Study on Ensemble Strategies and Feature Sets for Sentiment Analysis. ISCIS 2015: 359-370 - 2014
- [c8]Bahadir Bican, Yusuf Yaslan:
A hybrid method for time series prediction using EMD and SVR. ISCCSP 2014: 566-569 - 2010
- [b1]Yusuf Yaslan:
Supervised and semi-supervised learning using informative feature subspaces (Bilgi içeren öznitelik alt uzayları ile eğitmenli ve yarı eğitmenli öğrenme). İstanbul Technical University, Turkey, 2010 - [j4]Jaakko Peltonen, Yusuf Yaslan, Samuel Kaski:
Relevant subtask learning by constrained mixture models. Intell. Data Anal. 14(6): 641-662 (2010) - [j3]Yusuf Yaslan, Zehra Cataltepe:
Co-training with relevant random subspaces. Neurocomputing 73(10-12): 1652-1661 (2010)
2000 – 2009
- 2009
- [c7]Yusuf Yaslan, Zehra Cataltepe:
Random Relevant and Non-redundant Feature Subspaces for Co-training. IDEAL 2009: 679-686 - 2008
- [j2]Yusuf Yaslan, Bilge Günsel:
An integrated on-line audio watermark decoding scheme for broadcast monitoring. Multim. Tools Appl. 40(1): 1-21 (2008) - 2007
- [j1]Zehra Cataltepe, Yusuf Yaslan, Abdullah Sonmez:
Music Genre Classification Using MIDI and Audio Features. EURASIP J. Adv. Signal Process. 2007 (2007) - [c6]Aydin Akyol, Yusuf Yaslan, Osman Kaan Erol:
A Genetic Programming Classifier Design Approach for Cell Images. ECSQARU 2007: 878-888 - [c5]Yusuf Yaslan, Zehra Cataltepe:
A Comparison Framework of Similarity Metrics Used for Web Access Log Analysis. MLDM Posters 2007: 144-152 - 2006
- [c4]F. Kesgin, Yusuf Yaslan:
Pollen classification using RBF networks. Computational Intelligence 2006: 265-270 - [c3]Yusuf Yaslan, Zehra Cataltepe:
Audio Music Genre Classification Using Different Classifiers and Feature Selection Methods. ICPR (2) 2006: 573-576 - 2005
- [c2]Serap Kirbiz, Yusuf Yaslan, Bilge Günsel:
Robust audio watermark decoding by nonlinear classification. EUSIPCO 2005: 1-4 - 2004
- [c1]Yusuf Yaslan, Bilge Günsel:
An Integrated Decoding Framework for Audio Watermark Extraction. ICPR (2) 2004: 879-882
Coauthor Index
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