Yannis Papanikolaou
Yannis Papanikolaou
Vahvistettu sähköpostiosoite verkkotunnuksessa csd.auth.gr
Nimike
Viittaukset
Viittaukset
Vuosi
Ensemble Approaches for Large-Scale Multi-Label Classification and Question Answering in Biomedicine.
Y Papanikolaou, D Dimitriadis, G Tsoumakas, M Laliotis, ...
CLEF (Working Notes), 1348-1360, 2014
212014
Denoising autoencoder self-organizing map (DASOM)
C Ferles, Y Papanikolaou, KJ Naidoo
Neural Networks 105, 112-131, 2018
202018
Dense distributions from sparse samples: Improved gibbs sampling parameter estimators for lda
Y Papanikolaou, JR Foulds, TN Rubin, G Tsoumakas
The Journal of Machine Learning Research 18 (1), 2058-2115, 2017
192017
Large-scale semantic indexing and question answering in biomedicine
E Papagiannopoulou, Y Papanikolaou, D Dimitriadis, S Lagopoulos, ...
Proceedings of the Fourth BioASQ workshop, 50-54, 2016
122016
Large-scale online semantic indexing of biomedical articles via an ensemble of multi-label classification models
Y Papanikolaou, G Tsoumakas, M Laliotis, N Markantonatos, I Vlahavas
Journal of biomedical semantics 8 (1), 43, 2017
112017
Multi-label active learning: key issues and a novel query strategy
EA Cherman, Y Papanikolaou, G Tsoumakas, MC Monard
Evolving Systems 10 (1), 63-78, 2019
82019
AUTH-Atypon at BioASQ 3: Large-Scale Semantic Indexing in Biomedicine.
Y Papanikolaou, G Tsoumakas, M Laliotis, N Markantonatos, IP Vlahavas
CLEF (Working Notes), 2015
82015
Hierarchical partitioning of the output space in multi-label data
Y Papanikolaou, G Tsoumakas, I Katakis
Data & Knowledge Engineering 116, 42-60, 2018
72018
Deep Bidirectional Transformers for Relation Extraction without Supervision
AP Papanikolaou, Yannis, Ian Roberts
EMNLP-IJCNLP 2019 67, 2019
5*2019
Subset labeled lda for large-scale multi-label classification
Y Papanikolaou, G Tsoumakas
arXiv preprint arXiv:1709.05480, 2017
42017
Subset Labeled LDA: A Topic Model for Extreme Multi-label Classification
Y Papanikolaou, G Tsoumakas
International Conference on Big Data Analytics and Knowledge Discovery, 152-162, 2018
32018
Improving Gibbs Sampling Predictions on Unseen Data for Latent Dirichlet Allocation
Y Papanikolaou, T Rubin, GG Tsoumakas
arXiv preprint arXiv:1505.02065, 2015
32015
DARE: Data Augmented Relation Extraction with GPT-2
Y Papanikolaou, A Pierleoni
arXiv preprint arXiv:2004.13845, 2020
22020
Neural Embedding Allocation: Distributed Representations of Topic Models
KN Keya, Y Papanikolaou, JR Foulds
arXiv preprint arXiv:1909.04702, 2019
12019
Neural Embedding Allocation: Distributed Representations of Topic Models
K Naher Keya, Y Papanikolaou, JR Foulds
arXiv, arXiv: 1909.04702, 2019
2019
Data augmented relation extraction (DARE) with GPT-2
Y Papanikolaou, A Pierleoni
Neuropharmacology, 2019
2019
Subset Labeled LDA
Y Papanikolaou, G Tsoumakas
Big Data Analytics and Knowledge Discovery. Lecture Notes in Computer …, 2018
2018
AUTH-Atypon at BioASQ 3; Large-Scale Semantic Indexing and Question Answering in Bio-medicine
Y Papanikolaou, D Dimitriadis, G Tsoumakas, M Laliotis, ...
Neural Embedding Allocation: Distributed Representations of Words, Topics, and Documents
KN Keya, Y Papanikolaou, JR Foulds
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Artikkelit 1–19