Yannis Papanikolaou

Most-cited papers

1. DARE: Data Augmented Relation Extraction with GPT-2

   Yannis Papanikolaou, Andrea Pierleoni

   2020arXiv.org88 citations

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2. Denoising Autoencoder Self-Organizing Map (DASOM)

   C. Ferles, Yannis Papanikolaou, Kevin J. Naidoo

   2018Neural Networks49 citations Open access

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3. Dense Distributions from Sparse Samples: Improved Gibbs Sampling Parameter Estimators for LDA

   Yannis Papanikolaou, J. Foulds, T. Rubin, Grigorios Tsoumakas

   2015Journal of machine learning research37 citations

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4. Deep Bidirectional Transformers for Relation Extraction without Supervision

   Yannis Papanikolaou, I. Roberts, Andrea Pierleoni

   2019Conference on Empirical Methods in Natural Language Processing22 citations Open access

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5. Hierarchical Partitioning of the Output Space in Multi-label Data

   Yannis Papanikolaou, Grigorios Tsoumakas, I. Katakis

   2016Data & Knowledge Engineering20 citations Open access

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6. Ensemble Approaches for Large-Scale Multi-Label Classification and Question Answering in Biomedicine

   Yannis Papanikolaou, D. Dimitriadis, Grigorios Tsoumakas, Manos Laliotis +2 more

   2014Conference and Labs of the Evaluation Forum20 citations

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7. Large-scale online semantic indexing of biomedical articles via an ensemble of multi-label classification models

   Yannis Papanikolaou, Grigorios Tsoumakas, Manos Laliotis, Nikos Markantonatos +1 more

   2017Journal of Biomedical Semantics19 citations Open access

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8. Multi-label active learning: key issues and a novel query strategy

   E. A. Cherman, Yannis Papanikolaou, Grigorios Tsoumakas, M. Monard

   2017Evolutionary Systematics16 citations

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9. Slot Filling for Biomedical Information Extraction

   Yannis Papanikolaou, Marlene Staib, Justin Joshua Grace, Francine Bennett

   2021Workshop on Biomedical Natural Language Processing12 citations Open access

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10. AUTH-Atypon at BioASQ 3: Large-Scale Semantic Indexing in Biomedicine

    Yannis Papanikolaou, Grigorios Tsoumakas, Manos Laliotis, Nikos Markantonatos +1 more

    2015Conference and Labs of the Evaluation Forum10 citations

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11. Cancer Types: RNA Sequencing Values from Tumor Samples/Tissues

    C. Ferles, Yannis Papanikolaou, Kevin J. Naidoo

    20189 citations

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12. Neural Embedding Allocation: Distributed Representations of Topic Models

    Kamrun Keya, Yannis Papanikolaou, J. Foulds

    2019Computational Linguistics7 citations Open access

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13. Subset Labeled LDA: A Topic Model for Extreme Multi-label Classification

    Yannis Papanikolaou, Grigorios Tsoumakas

    2018International Conference on Data Warehousing and Knowledge Discovery6 citations

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14. Deep Self-Organizing Map of Convolutional Layers for Clustering and Visualizing Image Data

    C. Ferles, Yannis Papanikolaou, S. Savaidis, S. Mitilineos

    2021Machine Learning and Knowledge Extraction5 citations Open access

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15. Subset Labeled LDA for Large-Scale Multi-Label Classification

    Yannis Papanikolaou, Grigorios Tsoumakas

    2017arXiv.org4 citations

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16. Deep Learning Self-Organizing Map of Convolutional Layers

    C. Ferles, Yannis Papanikolaou, S. Savaidis, S. Mitilineos

    2021Computer Science & Information Technology (CS & IT)3 citations Open access

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17. Improving Gibbs Sampling Predictions on Unseen Data for Latent Dirichlet Allocation

    Yannis Papanikolaou, T. Rubin, Grigorios Tsoumakas

    20153 citations

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18. Transcriptomics-based matching of drugs to diseases with deep learning

    Yannis Papanikolaou, Francesco Tuveri, Misa Ogura, Daniel J O’Donovan

    2023arXiv.org0 citations Open access

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19. Teach me how to Label: Labeling Functions from Natural Language with Text-to-text Transformers

    Yannis Papanikolaou

    2021arXiv.org0 citations

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20. Τεχνικές μηχανικής μάθησης για σημασιολογική δεικτοδότηση κειμένου

    Yannis Papanikolaou, Γιάννης Παπανικολάου

    20180 citations Open access

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21. Improved Gibbs Sampling Parameter Estimators for Latent Dirichlet Allocation

    Yannis Papanikolaou, T. Rubin, J. Foulds, Grigorios Tsoumakas

    20150 citations

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