Eser Aygün
Eser Aygün
DeepMind
google.com üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
An improvement of centroid-based classification algorithm for text classification
Z Cataltepe, E Aygun
2007 IEEE 23rd International Conference on Data Engineering Workshop, 952-956, 2007
222007
A formal treatment of generalized preferential attachment and its empirical validation
A Herdağdelen, E Aygün, H Bingol
EPL (Europhysics Letters) 78 (6), 60007, 2007
142007
Spectral renormalization group theory on networks
E Aygün, A Erzan
Journal of Physics: Conference Series 319 (1), 012007, 2011
112011
The option keyboard: Combining skills in reinforcement learning
A Barreto, D Borsa, S Hou, G Comanici, E Aygün, P Hamel, D Toyama, ...
Advances in Neural Information Processing Systems, 13052-13062, 2019
72019
Peptide classification using optimal and information theoretic syntactic modeling
E Aygün, BJ Oommen, Z Cataltepe
Pattern recognition 43 (11), 3891-3899, 2010
42010
The history of philosophy
DC Önduygu, H Kuşçu, E Aygün
https://www.denizcemonduygu.com/portfolio/the-history-of-philosophy/, 2014
3*2014
On utilizing optimal and information theoretic syntactic modeling for peptide classification
E Aygün, BJ Oommen, Z Cataltepe
IAPR International Conference on Pattern Recognition in Bioinformatics, 24-35, 2009
32009
Protein Function Prediction with Amino Acid Sequence and Secondary Structure Alignment Scores
E Aygün, C Kömürlü, Z Aydin, Z Çataltepe
HIBIT 2008, 18-20, 2008
32008
Learning to cooperate: Emergent communication in multi-agent navigation
I Kajić, E Aygün, D Precup
arXiv preprint arXiv:2004.01097, 2020
22020
Learning representations of logical formulae using graph neural networks
X Glorot, A Anand, E Aygun, S Mourad, P Kohli, D Precup
Neural Information Processing Systems, Workshop on Graph Representation Learning, 2019
22019
Importance of secondary structure elements for prediction of GO annotations
A Filiz, E Aygün, Ö Keskin, Z Cataltepe
HIBIT 2008, 2008
22008
Dimensionality Reduction for Protein Function Prediction
Z Cataltepe, E Aygun, A Filiz, O Keskin, C Komurlu, Y Altunbasak
Automated Function Prediction (AFP)/Biosapiens Joint Special Interest Group …, 2007
22007
A formal treatment of generalized preferential attachment and its empirical validation. CoRR, abs
A Herdagdelen, E Aygun, H Bingol
arXiv preprint nlin/0609042, 2006
22006
Learning to prove from synthetic theorems
E Aygün, Z Ahmed, A Anand, V Firoiu, X Glorot, L Orseau, D Precup, ...
arXiv preprint arXiv:2006.11259, 2020
12020
Measuring Preferential Attachment in a Hyper-Textual Dictionary Reference Network: Eksi Sözlük
A Herdagdelen, E Aygun, H Bingol
Boğaziçi University, 0
1
Systems and methods for measuring media performance on end-user devices
E Aygun, EJ Marchiori
US Patent 10,673,720, 2020
2020
Knowledge Representation for Reinforcement Learning using General Value Functions
G Comanici, D Precup, A Barreto, DK Toyama, E Aygün, P Hamel, ...
2018
Protein işlev kestiriminde yapısal bilginin katkısı ve dizi geçiş olasılıkları ile peptit sınıflandırma
E Aygün
Istanbul Technical University, 2009
2009
Web sayfası sınıflandırma yöntemleri ve benzerlik ölçütleri
E Aygün
Istanbul Technical University, 2006
2006
Gene Ontology (GO) Molecular Function Prediction Based on Alignment Scores
E Aygun, Z Cataltepe
Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.
Makaleler 1–20