Yannis Papanikolaou

According to our database, Yannis Papanikolaou authored at least 18 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

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

Yannis Papanikolaou, Francesco Tuveri, Misa Ogura, Daniel O'Donovan

CoRR, 2023

2022

Neural Embedding Allocation: Distributed Representations of Topic Models.

Kamrun Naher Keya, Yannis Papanikolaou, James R. Foulds

Comput. Linguistics, 2022

Slot Filling for Biomedical Information Extraction.

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

Proceedings of the 21st Workshop on Biomedical Language Processing, 2022

2021

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

Christos Ferles, Yannis Papanikolaou, Stylianos P. Savaidis, Stelios A. Mitilineos

Mach. Learn. Knowl. Extr., 2021

Slot Filling for Biomedical Information Extraction.

Yannis Papanikolaou, Francine Bennett

CoRR, 2021

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

Yannis Papanikolaou

CoRR, 2021

2020

DARE: Data Augmented Relation Extraction with GPT-2.

Yannis Papanikolaou, Andrea Pierleoni

CoRR, 2020

2019

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

Everton Alvares Cherman, Yannis Papanikolaou, Grigorios Tsoumakas, Maria Carolina Monard

Evol. Syst., 2019

Deep Bidirectional Transformers for Relation Extraction without Supervision.

Yannis Papanikolaou, Ian Roberts, Andrea Pierleoni

Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP, 2019

2018

Τεχνικές μηχανικής μάθησης για σημασιολογική δεικτοδότηση κειμένου

Yannis Papanikolaou

PhD thesis, 2018

Denoising Autoencoder Self-Organizing Map (DASOM).

Christos Ferles, Yannis Papanikolaou, Kevin J. Naidoo

Neural Networks, 2018

Hierarchical partitioning of the output space in multi-label data.

Yannis Papanikolaou, Grigorios Tsoumakas, Ioannis Katakis

Data Knowl. Eng., 2018

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

Yannis Papanikolaou, Grigorios Tsoumakas

Proceedings of the Big Data Analytics and Knowledge Discovery, 2018

2017

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

Yannis Papanikolaou, James R. Foulds, Timothy N. Rubin, Grigorios Tsoumakas

J. Mach. Learn. Res., 2017

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

Yannis Papanikolaou, Grigorios Tsoumakas

CoRR, 2017

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

Yannis Papanikolaou, Grigorios Tsoumakas, Manos Laliotis, Nikos Markantonatos, Ioannis P. Vlahavas

J. Biomed. Semant., 2017

2015

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

Yannis Papanikolaou, Grigorios Tsoumakas, Manos Laliotis, Nikos Markantonatos, Ioannis P. Vlahavas

Proceedings of the Working Notes of CLEF 2015, 2015

2014

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

Yannis Papanikolaou, Dimitrios Dimitriadis, Grigorios Tsoumakas, Manos Laliotis, Nikos Markantonatos, Ioannis P. Vlahavas

Proceedings of the Working Notes for CLEF 2014 Conference, 2014