Yannis Papanikolaou
Yannis Papanikolaou
Zweryfikowany adres z csd.auth.gr
Cytowane przez
Cytowane przez
Denoising autoencoder self-organizing map (DASOM)
C Ferles, Y Papanikolaou, KJ Naidoo
Neural Networks 105, 112-131, 2018
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
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
Dare: Data augmented relation extraction with gpt-2
Y Papanikolaou, A Pierleoni
arXiv preprint arXiv:2004.13845, 2020
Deep Bidirectional Transformers for Relation Extraction without Supervision
AP Papanikolaou, Yannis, Ian Roberts
EMNLP-IJCNLP 2019 67, 2019
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), 1-13, 2017
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
Hierarchical partitioning of the output space in multi-label data
Y Papanikolaou, G Tsoumakas, I Katakis
Data & Knowledge Engineering 116, 42-60, 2018
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
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
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
Subset labeled lda for large-scale multi-label classification
Y Papanikolaou, G Tsoumakas
arXiv preprint arXiv:1709.05480, 2017
Neural embedding allocation: Distributed representations of topic models
KN Keya, Y Papanikolaou, JR Foulds
arXiv preprint arXiv:1909.04702, 2019
Improving Gibbs Sampling Predictions on Unseen Data for Latent Dirichlet Allocation
Y Papanikolaou, T Rubin, GG Tsoumakas
arXiv preprint arXiv:1505.02065, 2015
Deep learning self-organizing map of convolutional layers
C Ferles, Y Papanikolaou, SP Savaidis, SA Mitilineos
Proceedings of the 2nd International Conference on Artificial Intelligence …, 2021
Deep Self-Organizing Map of Convolutional Layers for Clustering and Visualizing Image Data
C Ferles, Y Papanikolaou, SP Savaidis, SA Mitilineos
Machine Learning and Knowledge Extraction 3 (4), 879-899, 2021
Slot filling for biomedical information extraction
Y Papanikolaou, F Bennett
arXiv preprint arXiv:2109.08564, 2021
Teach me how to Label: Labeling Functions from Natural Language with Text-to-text Transformers
Y Papanikolaou
arXiv preprint arXiv:2101.07138, 2021
Neural Embedding Allocation: Distributed Representations of Topic Models
K Naher Keya, Y Papanikolaou, JR Foulds
arXiv e-prints, arXiv: 1909.04702, 2019
Subset Labeled LDA
Y Papanikolaou, G Tsoumakas
Big Data Analytics and Knowledge Discovery. Lecture Notes in Computer …, 2018
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