Emre Sefer

Orcid: 0000-0002-9186-0270

According to our database1, Emre Sefer authored at least 25 papers between 2009 and 2024.

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Bibliography

2024
Deep Transformer-Based Asset Price and Direction Prediction.
IEEE Access, 2024

2023
BERT2OME: Prediction of 2′-O-Methylation Modifications From RNA Sequence by Transformer Architecture Based on BERT.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

SGD with Partial Hessian for Deep Recommendation System Optimization.
Proceedings of the IEEE International Conference on Data Mining, 2023

NFT Primary Sale Price and Secondary Sale Prediction via Deep Learning.
Proceedings of the 4th ACM International Conference on AI in Finance, 2023

Optimal Reconstruction of Graph Evolution Dynamics for Duplication-Based Models.
Proceedings of the Complex Networks & Their Applications XII, 2023

2022
A comparison of topologically associating domain callers over mammals at high resolution.
BMC Bioinform., December, 2022

BioCode: A Data-Driven Procedure to Learn the Growth of Biological Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

MOCMIN: convex inferring of modular low-rank contact networks over COVID diffusion data.
Turkish J. Electr. Eng. Comput. Sci., 2022

A Novel GBT-Based Approach for Cross-Channel Fraud Detection on Real-World Banking Transactions.
Proceedings of the Artificial Intelligence Applications and Innovations, 2022

Asset Price and Direction Prediction via Deep 2D Transformer and Convolutional Neural Networks.
Proceedings of the 3rd ACM International Conference on AI in Finance, 2022

2021
Hi-C interaction graph analysis reveals the impact of histone modifications in chromatin shape.
Appl. Netw. Sci., 2021

2020
Joint Modeling of Histone Modifications in 3D Genome Shape Through Hi-C Interaction Graph.
Proceedings of the Complex Networks & Their Applications IX, 2020

2019
Semi-nonparametric modeling of topological domain formation from epigenetic data.
Algorithms Mol. Biol., 2019

2016
Diffusion archeology for diffusion progression history reconstruction.
Knowl. Inf. Syst., 2016

Deconvolution of Ensemble Chromatin Interaction Data Reveals the Latent Mixing Structures in Cell Subpopulations.
J. Comput. Biol., 2016

Shall We Dense? Comparing Design Strategies for Time Series Expression Experiments.
Proceedings of the Research in Computational Molecular Biology - 20th Annual Conference, 2016

2015
Convex Risk Minimization to Infer Networks from probabilistic diffusion data at multiple scales.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

2014
Diffusion Archaeology for Diffusion Progression History Reconstruction.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2013
Resolving spatial inconsistencies in chromosome conformation measurements.
Algorithms Mol. Biol., 2013

2012
Parsimonious reconstruction of network evolution.
Algorithms Mol. Biol., 2012

Resolving Spatial Inconsistencies in Chromosome Conformation Data.
Proceedings of the Algorithms in Bioinformatics - 12th International Workshop, 2012

The missing models: a data-driven approach for learning how networks grow.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

2011
NetVisia: Heat Map & Matrix Visualization of Dynamic Social Network Statistics & Content.
Proceedings of the PASSAT/SocialCom 2011, Privacy, 2011

Metric Labeling and Semi-metric Embedding for Protein Annotation Prediction.
Proceedings of the Research in Computational Molecular Biology, 2011

2009
Thinking Ahead in Real-Time Search.
Proceedings of the 19th International Conference on Automated Planning and Scheduling, 2009


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