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ORCIDYannis Papanikolaou
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2020 – today
- 2023
[i9]Yannis Papanikolaou, Francesco Tuveri, Misa Ogura, Daniel O'Donovan:
Transcriptomics-based matching of drugs to diseases with deep learning. CoRR abs/2303.11695 (2023)- 2022
- [j7]Kamrun Naher Keya, Yannis Papanikolaou, James R. Foulds:
Neural Embedding Allocation: Distributed Representations of Topic Models. Comput. Linguistics 48(4): 1021-1052 (2022) - [c5]Yannis Papanikolaou, Marlene Staib, Justin Joshua Grace, Francine Bennett:
Slot Filling for Biomedical Information Extraction. BioNLP@ACL 2022: 82-90 - 2021
- [j6]Christos Ferles
, Yannis Papanikolaou, Stylianos P. Savaidis, Stelios A. Mitilineos:
Deep Self-Organizing Map of Convolutional Layers for Clustering and Visualizing Image Data. Mach. Learn. Knowl. Extr. 3(4): 879-899 (2021) - [i8]Yannis Papanikolaou:
Teach me how to Label: Labeling Functions from Natural Language with Text-to-text Transformers. CoRR abs/2101.07138 (2021) - [i7]Yannis Papanikolaou, Francine Bennett:
Slot Filling for Biomedical Information Extraction. CoRR abs/2109.08564 (2021) - 2020
- [i6]Yannis Papanikolaou, Andrea Pierleoni:
DARE: Data Augmented Relation Extraction with GPT-2. CoRR abs/2004.13845 (2020)
2010 – 2019
- 2019
- [j5]Everton Alvares Cherman, Yannis Papanikolaou, Grigorios Tsoumakas, Maria Carolina Monard:
Multi-label active learning: key issues and a novel query strategy. Evol. Syst. 10(1): 63-78 (2019) - [c4]Yannis Papanikolaou, Ian Roberts, Andrea Pierleoni:
Deep Bidirectional Transformers for Relation Extraction without Supervision. DeepLo@EMNLP-IJCNLP 2019: 67-75 - [i5]Kamrun Naher Keya, Yannis Papanikolaou, James R. Foulds:
Neural Embedding Allocation: Distributed Representations of Topic Models. CoRR abs/1909.04702 (2019) - [i4]Yannis Papanikolaou, Ian Roberts, Andrea Pierleoni:
Deep Bidirectional Transformers for Relation Extraction without Supervision. CoRR abs/1911.00313 (2019) - 2018
- [b1]Yannis Papanikolaou:
Τεχνικές μηχανικής μάθησης για σημασιολογική δεικτοδότηση κειμένου. Aristotle University Of Thessaloniki, Greece, 2018 - [j4]Yannis Papanikolaou, Grigorios Tsoumakas, Ioannis Katakis:
Hierarchical partitioning of the output space in multi-label data. Data Knowl. Eng. 116: 42-60 (2018) - [j3]Christos Ferles, Yannis Papanikolaou, Kevin J. Naidoo:
Denoising Autoencoder Self-Organizing Map (DASOM). Neural Networks 105: 112-131 (2018) - [c3]Yannis Papanikolaou, Grigorios Tsoumakas:
Subset Labeled LDA: A Topic Model for Extreme Multi-label Classification. DaWaK 2018: 152-162 - 2017
- [j2]Yannis Papanikolaou, Grigorios Tsoumakas, Manos Laliotis, Nikos Markantonatos, Ioannis P. Vlahavas:
Large-scale online semantic indexing of biomedical articles via an ensemble of multi-label classification models. J. Biomed. Semant. 8(1): 43:1-43:13 (2017) - [j1]Yannis Papanikolaou, James R. Foulds, Timothy N. Rubin, Grigorios Tsoumakas:
Dense Distributions from Sparse Samples: Improved Gibbs Sampling Parameter Estimators for LDA. J. Mach. Learn. Res. 18: 62:1-62:58 (2017) - [i3]Yannis Papanikolaou, Grigorios Tsoumakas, Manos Laliotis, Nikos Markantonatos, Ioannis P. Vlahavas:
Large-Scale Online Semantic Indexing of Biomedical Articles via an Ensemble of Multi-Label Classification Models. CoRR abs/1704.05271 (2017) - [i2]Yannis Papanikolaou, Grigorios Tsoumakas:
Subset Labeled LDA for Large-Scale Multi-Label Classification. CoRR abs/1709.05480 (2017) - 2016
- [i1]Yannis Papanikolaou, Ioannis Katakis, Grigorios Tsoumakas:
Hierarchical Partitioning of the Output Space in Multi-label Data. CoRR abs/1612.06083 (2016) - 2015
- [c2]Yannis Papanikolaou, Grigorios Tsoumakas, Manos Laliotis, Nikos Markantonatos, Ioannis P. Vlahavas:
AUTH-Atypon at BioASQ 3: Large-Scale Semantic Indexing in Biomedicine. CLEF (Working Notes) 2015 - 2014
- [c1]Yannis Papanikolaou, Dimitrios Dimitriadis, Grigorios Tsoumakas, Manos Laliotis, Nikos Markantonatos, Ioannis P. Vlahavas:
Ensemble Approaches for Large-Scale Multi-Label Classification and Question Answering in Biomedicine. CLEF (Working Notes) 2014: 1348-1360
Coauthor Index
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