Yusuf Yaslan

Orcid: 0000-0001-8038-948X

According to our database1, Yusuf Yaslan authored at least 54 papers between 2004 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Search task extraction using k-contour based recurrent deep graph clustering.
Eng. Appl. Artif. Intell., 2025

2024
A reinforcement learning based dynamic room pricing model for hotel industry.
INFOR Inf. Syst. Oper. Res., May, 2024

DeGAN - Decomposition-based unified anomaly detection in static networks.
Inf. Sci., 2024

Graph-SeTES: A graph based search task extraction using Siamese network.
Inf. Sci., 2024

Adversarial random graph neural network for anomaly detection.
Digit. Signal Process., 2024

Does Twinning Vehicular Networks Enhance Their Performance in Dense Areas?
Proceedings of the 21st IEEE Consumer Communications & Networking Conference, 2024

2023
Structural and topological guided GCN for link prediction in temporal networks.
J. Ambient Intell. Humaniz. Comput., July, 2023

Topological Similarity and Centrality Driven Hybrid Deep Learning for Temporal Link Prediction.
J. Univers. Comput. Sci., May, 2023

Graph Autoencoder with Community Neighborhood Network.
Proceedings of the Intelligent Systems and Pattern Recognition, 2023

2022
Demand forecasting model using hotel clustering findings for hospitality industry.
Inf. Process. Manag., 2022

2021
Waste-to-Energy Framework: An intelligent energy recycling management.
Sustain. Comput. Informatics Syst., 2021

Next Item Prediction Using Neural Networks with Embedding Initialized Weights.
Proceedings of the 19th IEEE International Conference on Smart Technologies, 2021

LoRaWAN-aided Waste-to-Energy Concept Model in Smart Cities.
Proceedings of the International Conference on Computer, 2021

GeoAKOM: A Smart Geocasting Protocol for Vehicular Networks.
Proceedings of the 12th International Conference on Ambient Systems, 2021

2020
A context-aware mobile application framework using audio watermarking.
Multim. Syst., 2020

DeMETER in clouds: detection of malicious external thread execution in runtime with machine learning in PaaS clouds.
Clust. Comput., 2020

2019
Dissimilarity-based multi-instance learning using dictionary learning and sparse coding ensembles.
Comput. Electr. Eng., 2019

Item Prediction with RNN Using Different Types of User-Item Interactions.
Proceedings of the 27th Signal Processing and Communications Applications Conference, 2019

2018
Emotion Based Music Recommendation System Using Wearable Physiological Sensors.
IEEE Trans. Consumer Electron., 2018

Sparse coding based classifier ensembles in supervised and active learning scenarios for data classification.
Expert Syst. Appl., 2018

DEMIAL: an active learning framework for multiple instance image classification using dictionary ensembles.
Turkish J. Electr. Eng. Comput. Sci., 2018

Stock market prediction with deep learning using financial news.
Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

Comparison of feature selection methods in voice based emotion recognition systems.
Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

Task-based clustering on search queries.
Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

Failure Detection Using Proprioceptive, Auditory and Visual Modalities.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

A Smart City Application: Business Location Estimator Using Machine Learning Techniques.
Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018

Malicious Behavior Classification in PaaS.
Proceedings of the Cloud Computing and Services Science - 8th International Conference, 2018

Classifying Malicious Thread Behavior in PaaS Web Services.
Proceedings of the 8th International Conference on Cloud Computing and Services Science, 2018

2017
Intraday prediction of Borsa Istanbul using convolutional neural networks and feature correlations.
Knowl. Based Syst., 2017

Stock daily return prediction using expanded features and feature selection.
Turkish J. Electr. Eng. Comput. Sci., 2017

A comparison study on active learning integrated ensemble approaches in sentiment analysis.
Comput. Electr. Eng., 2017

Biomedical data classification using supervised classifiers and ensemble based dictionaries.
Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

Big data and smart city platforms.
Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

Stock market direction prediction using deep neural networks.
Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

Using co-training to empower active learning.
Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

Multi channel brain EEG signals based emotional arousal classification with unsupervised feature learning using autoencoders.
Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

2016
Data classification using sparse coding based active learning.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

Dictionary ensemble based multi instance active learning method for image categorization.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

Short term traffic speed prediction using different feature sets and sensor clusters.
Proceedings of the 2016 IEEE/IFIP Network Operations and Management Symposium, 2016

A disagreement based co-active learning method for sleep stage classification.
Proceedings of the International Conference on Systems, Signals and Image Processing, 2016

2015
A Comparison Study on Ensemble Strategies and Feature Sets for Sentiment Analysis.
Proceedings of the Information Sciences and Systems 2015, 2015

2014
A hybrid method for time series prediction using EMD and SVR.
Proceedings of the 6th International Symposium on Communications, 2014

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

Co-training with relevant random subspaces.
Neurocomputing, 2010

Relevant subtask learning by constrained mixture models.
Intell. Data Anal., 2010

2009
Random Relevant and Non-redundant Feature Subspaces for Co-training.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2009

2008
An integrated on-line audio watermark decoding scheme for broadcast monitoring.
Multim. Tools Appl., 2008

2007
Music Genre Classification Using MIDI and Audio Features.
EURASIP J. Adv. Signal Process., 2007

A Comparison Framework of Similarity Metrics Used for Web Access Log Analysis.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2007

A Genetic Programming Classifier Design Approach for Cell Images.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2007

2006
Audio Music Genre Classification Using Different Classifiers and Feature Selection Methods.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Pollen classification using RBF networks.
Proceedings of the Second IASTED International Conference on Computational Intelligence, 2006

2005
Robust audio watermark decoding by nonlinear classification.
Proceedings of the 13th European Signal Processing Conference, 2005

2004
An Integrated Decoding Framework for Audio Watermark Extraction.
Proceedings of the 17th International Conference on Pattern Recognition, 2004


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