Publications

2026

1. Improving Molecular Property Prediction in Small Language Models Using Graph-based Tools

   Konstantinos Bougiatiotis, Dimitrios Kelesis, and Georgios Paliouras

   arXiv preprint arXiv:2607.13115, Jul 2026

   Presented at the Causal NeSy workshop at ESWC 2026

   arXiv Bib

   @article{bougiatiotis2026molecular,
     title = {Improving Molecular Property Prediction in Small Language Models Using Graph-based Tools},
     author = {Bougiatiotis, Konstantinos and Kelesis, Dimitrios and Paliouras, Georgios},
     journal = {arXiv preprint arXiv:2607.13115},
     year = {2026},
     month = jul,
     note = {Presented at the Causal NeSy workshop at ESWC 2026},
   }

2. Enhancing Small Language Models Reasoning through Knowledge Graph Grounding

   Dimitrios Kelesis, Konstantinos Bougiatiotis, and Georgios Paliouras

   arXiv preprint arXiv:2607.14149, Jul 2026

   Presented at the Causal NeSy workshop at ESWC 2026

   arXiv Bib

   @article{kelesis2026grounding,
     title = {Enhancing Small Language Models Reasoning through Knowledge Graph Grounding},
     author = {Kelesis, Dimitrios and Bougiatiotis, Konstantinos and Paliouras, Georgios},
     journal = {arXiv preprint arXiv:2607.14149},
     year = {2026},
     month = jul,
     note = {Presented at the Causal NeSy workshop at ESWC 2026},
   }

3. FastRank: Fast Tensor Rank Approximation based on Spectral Energy

   Konstantinos Bougiatiotis, and Georgios Paliouras

   In Proceedings of the 29th International Conference on Artificial Intelligence and Statistics, May 2026

   Bib Paper PDF Code Website

   @inproceedings{bougiatiotis2026fastrank,
     title = {FastRank: Fast Tensor Rank Approximation based on Spectral Energy},
     author = {Bougiatiotis, Konstantinos and Paliouras, Georgios},
     booktitle = {Proceedings of the 29th International Conference on Artificial Intelligence and Statistics},
     series = {Proceedings of Machine Learning Research},
     volume = {300},
     pages = {1873--1881},
     year = {2026},
     month = may,
   }

4. Identifying drug repurposing candidates for rare neuro-muscular disorders, using different AI methods on the literature knowledge graph

   Fotios Papadimas, Stavroula Svolou, Konstantinos Bougiatiotis, and 4 more authors

   JAMIA Open, Apr 2026

   DOI Bib Code Data

   @article{papadimas2026repurposing,
     title = {Identifying drug repurposing candidates for rare neuro-muscular disorders, using different AI methods on the literature knowledge graph},
     author = {Papadimas, Fotios and Svolou, Stavroula and Bougiatiotis, Konstantinos and Aisopos, Fotis and Krithara, Anastasia and Paliouras, Georgios and {SIMPATHIC Consortium}},
     journal = {JAMIA Open},
     volume = {9},
     number = {2},
     pages = {ooag050},
     year = {2026},
     month = apr,
     doi = {10.1093/jamiaopen/ooag050},
   }

5. From Primes to Paths: Enabling Fast Multi-Relational Graph Analysis

   Konstantinos Bougiatiotis, and Georgios Paliouras

   Data & Knowledge Engineering, Jan 2026

   DOI arXiv Bib Code Website

   @article{bougiatiotis2024primespathsenablingfast,
     title = {From Primes to Paths: Enabling Fast Multi-Relational Graph Analysis},
     author = {Bougiatiotis, Konstantinos and Paliouras, Georgios},
     journal = {Data & Knowledge Engineering},
     volume = {163},
     pages = {102554},
     year = {2026},
     month = jan,
     doi = {10.1016/j.datak.2026.102554},
   }

6. A benchmark study comparing deep learning and path analysis approaches for multi-class link prediction on a disease-specific literature knowledge graph

   Marios Vottas, Konstantinos Bougiatiotis, Fotis Aisopos, and 1 more author

   Artificial Intelligence in Medicine, 2026

   Abs DOI Bib Paper Website

   Identifying and understanding multi-type drug-drug interactions and their associated toxicities is crucial for preventing adverse outcomes, especially in vulnerable populations, such as cancer patients, who may already have compromised health statuses. This paper provides a benchmark study that compares various commonly-used Machine Learning-based approaches, such as graph embeddings and path analysis, aiming at predicting different types of drug-drug interaction links in a disease-specific knowledge graph, constructed from biomedical literature. These approaches are evaluated based on an external interaction dataset collected from Drugbank. We first introduce a simplified taxonomy of multi-type interactions and then compare the models’ performance over the different drug-drug interaction types. Overall, the graph embeddings approach outperforms the competition, while the path-based analysis allows for an interpretation of predictions, using the most important features of each path.

   @article{VOTTAS2026103542,
     title = {A benchmark study comparing deep learning and path analysis approaches for multi-class link prediction on a disease-specific literature knowledge graph},
     author = {Vottas, Marios and Bougiatiotis, Konstantinos and Aisopos, Fotis and Krithara, Anastasia},
     journal = {Artificial Intelligence in Medicine},
     pages = {103542},
     year = {2026},
     issn = {0933-3657},
     doi = {10.1016/j.artmed.2026.103542},
     url = {https://www.sciencedirect.com/science/article/pii/S0933365726001946},
     keywords = {Knowledge graph, Link prediction, Graph embeddings, Drug-drug interactions},
   }

2025

1. A Multimodal Alignment-Based Anomaly Detection Method for Bankruptcy Prediction

   Andreas Sideras, Konstantinos Bougiatiotis, Elias Zavitsanos, and 2 more authors

   In Proceedings of the 6th ACM International Conference on AI in Finance, Nov 2025

   DOI Bib Code Data

   @inproceedings{sideras2025mabad,
     title = {A Multimodal Alignment-Based Anomaly Detection Method for Bankruptcy Prediction},
     author = {Sideras, Andreas and Bougiatiotis, Konstantinos and Zavitsanos, Elias and Paliouras, Georgios and Vouros, George},
     booktitle = {Proceedings of the 6th ACM International Conference on AI in Finance},
     pages = {53--61},
     year = {2025},
     month = nov,
     doi = {10.1145/3768292.3770380},
   }

2. Positive-Unlabeled Learning for Financial Misstatement Detection under Realistic Constraints

   Elias Zavitsanos, Konstantinos Bougiatiotis, Andreas Sideras, and 1 more author

   In Proceedings of the 6th ACM International Conference on AI in Finance, Nov 2025

   DOI Bib Code Data

   @inproceedings{zavitsanos2025positive,
     title = {Positive-Unlabeled Learning for Financial Misstatement Detection under Realistic Constraints},
     author = {Zavitsanos, Elias and Bougiatiotis, Konstantinos and Sideras, Andreas and Paliouras, Georgios},
     booktitle = {Proceedings of the 6th ACM International Conference on AI in Finance},
     pages = {864--872},
     year = {2025},
     month = nov,
     doi = {10.1145/3768292.3770366},
   }

3. From Nearest Neighbors to LLMs: A Hybrid Zero-Shot Approach to Multi-Label Classification

   Konstantinos Bougiatiotis, and Georgios Paliouras

   In ESWC 2025 Workshops and Tutorials Joint Proceedings (NSLP 2025), Jun 2025

   Bib PDF Code

   @inproceedings{bougiatiotis2025nearest,
     title = {From Nearest Neighbors to LLMs: A Hybrid Zero-Shot Approach to Multi-Label Classification},
     author = {Bougiatiotis, Konstantinos and Paliouras, Georgios},
     year = {2025},
     booktitle = {ESWC 2025 Workshops and Tutorials Joint Proceedings (NSLP 2025)},
     series = {CEUR Workshop Proceedings},
     volume = {3977},
     month = jun,
   }

4. Predicting Multi-Type Drug-Drug Interactions Using a Disease-Specific Knowledge Graph

   Marios Vottas, Fotis Aisopos, Konstantinos Bougiatiotis, and 1 more author

   In 2025 IEEE 38th International Symposium on Computer-Based Medical Systems (CBMS), 2025

   DOI Bib

   @inproceedings{11058919,
     author = {Vottas, Marios and Aisopos, Fotis and Bougiatiotis, Konstantinos and Krithara, Anastasia},
     booktitle = {2025 IEEE 38th International Symposium on Computer-Based Medical Systems (CBMS)},
     title = {Predicting Multi-Type Drug-Drug Interactions Using a Disease-Specific Knowledge Graph},
     year = {2025},
     volume = {},
     number = {},
     pages = {757-762},
     keywords = {Toxicology;Databases;Mortality;Lung cancer;Focusing;Knowledge graphs;Machine learning;Diseases;Knowledge Graph;Link Prediction;Graph Embeddings;Drug-Drug Interaction},
     doi = {10.1109/CBMS65348.2025.00157},
   }

2024

1. Bankruptcy Prediction: Data Augmentation, LLMs and the Need for Auditor’s Opinion

   Andreas Sideras, Konstantinos Bougiatiotis, Elias Zavitsanos, and 2 more authors

   In Proceedings of the 5th ACM International Conference on AI in Finance, Nov 2024

   DOI Bib

   @inproceedings{sideras2024bankruptcy,
     doi = {10.1145/3677052.3698627},
     title = {Bankruptcy Prediction: Data Augmentation, LLMs and the Need for Auditor's Opinion},
     author = {Sideras, Andreas and Bougiatiotis, Konstantinos and Zavitsanos, Elias and Paliouras, Georgios and Vouros, George},
     booktitle = {Proceedings of the 5th ACM International Conference on AI in Finance},
     pages = {453--460},
     year = {2024},
     month = nov,
   }

2. DICE@ML-ESG-3: ESG Impact Level and Duration Inference Using LLMs for Augmentation and Contrastive Learning

   Konstantinos Bougiatiotis, Andreas Sideras, Elias Zavitsanos, and 1 more author

   In Proceedings of the Joint Workshop of the 7th Financial Technology and Natural Language Processing, the 5th Knowledge Discovery from Unstructured Data in Financial Services, and the 4th Workshop on Economics and Natural Language Processing, May 2024

   Bib Paper PDF

   @inproceedings{bougiatiotis2024dice,
     title = {DICE@ML-ESG-3: ESG Impact Level and Duration Inference Using LLMs for Augmentation and Contrastive Learning},
     author = {Bougiatiotis, Konstantinos and Sideras, Andreas and Zavitsanos, Elias and Paliouras, Georgios},
     booktitle = {Proceedings of the Joint Workshop of the 7th Financial Technology and Natural Language Processing, the 5th Knowledge Discovery from Unstructured Data in Financial Services, and the 4th Workshop on Economics and Natural Language Processing},
     pages = {234--243},
     year = {2024},
     month = may,
   }

2023

1. Knowledge4COVID-19: A semantic-based approach for constructing a COVID-19 related knowledge graph from various sources and analyzing treatments’ toxicities

   Ahmad Sakor, Samaneh Jozashoori, Emetis Niazmand, and 3 more authors

   Journal of Web Semantics, 2023

   Bib

   @article{sakor2023knowledge4covid,
     title = {Knowledge4COVID-19: A semantic-based approach for constructing a COVID-19 related knowledge graph from various sources and analyzing treatments’ toxicities},
     author = {Sakor, Ahmad and Jozashoori, Samaneh and Niazmand, Emetis and Rivas, Ariam and Bougiatiotis, Konstantinos and others},
     journal = {Journal of Web Semantics},
     volume = {75},
     pages = {100760},
     year = {2023},
     publisher = {Elsevier},
   }

2. BioASQ-QA: A manually curated corpus for Biomedical Question Answering

   Anastasia Krithara, Anastasios Nentidis, Konstantinos Bougiatiotis, and 1 more author

   Scientific Data, 2023

   DOI Bib

   @article{krithara2023bioasq,
     title = {BioASQ-QA: A manually curated corpus for Biomedical Question Answering},
     author = {Krithara, Anastasia and Nentidis, Anastasios and Bougiatiotis, Konstantinos and Paliouras, Georgios},
     journal = {Scientific Data},
     volume = {10},
     number = {1},
     pages = {170},
     year = {2023},
     publisher = {Nature Publishing Group UK London},
     doi = {10.1038/s41597-023-02068-4}
   }

3. Analysing Biomedical Knowledge Graphs using Prime Adjacency Matrices

   Konstantinos Bougiatiotis, and Georgios Paliouras

   In 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS), 2023

   Bib

   @inproceedings{bougiatiotis2023analysing,
     title = {Analysing Biomedical Knowledge Graphs using Prime Adjacency Matrices},
     author = {Bougiatiotis, Konstantinos and Paliouras, Georgios},
     booktitle = {2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS)},
     pages = {628--633},
     year = {2023},
     organization = {IEEE},
   }

4. Identifying going concern issues in auditor opinions: link to bankruptcy events

   Konstantinos Bougiatiotis, Elias Zavitsanos, and Georgios Paliouras

   In 2023 IEEE International Conference on Big Data (BigData), 2023

   Bib Code

   @inproceedings{bougiatiotis2023identifying,
     title = {Identifying going concern issues in auditor opinions: link to bankruptcy events},
     author = {Bougiatiotis, Konstantinos and Zavitsanos, Elias and Paliouras, Georgios},
     booktitle = {2023 IEEE International Conference on Big Data (BigData)},
     pages = {2805--2813},
     year = {2023},
     organization = {IEEE},
   }

5. Efficient Complex Network Representation Using Prime Numbers

   Konstantinos Bougiatiotis, and Georgios Paliouras

   In International Conference on Complex Networks and Their Applications, 2023

   Bib Code

   @inproceedings{bougiatiotis2023efficient,
     title = {Efficient Complex Network Representation Using Prime Numbers},
     author = {Bougiatiotis, Konstantinos and Paliouras, Georgios},
     booktitle = {International Conference on Complex Networks and Their Applications},
     pages = {75--86},
     year = {2023},
     organization = {Springer Nature Switzerland Cham},
   }

2022

1. Efficient multi-relational network representation using primes

   Konstantinos Bougiatiotis, and Georgios Paliouras

   arXiv preprint arXiv:2209.06575, 2022

   Bib

   @article{bougiatiotis2022efficient,
     title = {Efficient multi-relational network representation using primes},
     author = {Bougiatiotis, Konstantinos and Paliouras, Georgios},
     journal = {arXiv preprint arXiv:2209.06575},
     year = {2022},
   }

2021

1. DICoE@ FinSim-3: Financial hypernym detection using augmented terms and distance-based features

   Lefteris Loukas, Konstantinos Bougiatiotis, Manos Fergadiotis, and 2 more authors

   arXiv preprint arXiv:2109.14906, 2021

   Bib

   @article{loukas2021dicoe,
     title = {DICoE@ FinSim-3: Financial hypernym detection using augmented terms and distance-based features},
     author = {Loukas, Lefteris and Bougiatiotis, Konstantinos and Fergadiotis, Manos and Mavroeidis, Dimitris and Zavitsanos, Elias},
     journal = {arXiv preprint arXiv:2109.14906},
     year = {2021},
   }

2. Financial misstatement detection: a realistic evaluation

   Elias Zavitsanos, Dimitris Mavroeidis, Konstantinos Bougiatiotis, and 1 more author

   In Proceedings of the Second ACM International Conference on AI in Finance, 2021

   Bib

   @inproceedings{zavitsanos2021financial,
     title = {Financial misstatement detection: a realistic evaluation},
     author = {Zavitsanos, Elias and Mavroeidis, Dimitris and Bougiatiotis, Konstantinos and others},
     booktitle = {Proceedings of the Second ACM International Conference on AI in Finance},
     pages = {1--9},
     year = {2021},
   }

2020

1. Semantic integration of disease-specific knowledge

   Anastasios Nentidis, Konstantinos Bougiatiotis, Anastasia Krithara, and 1 more author

   In IEEE 33rd International Symposium on Computer Based Medical Systems (CBMS)(2020, to appear), 2020

   Bib

   @inproceedings{nentidis2020semantic,
     title = {Semantic integration of disease-specific knowledge},
     author = {Nentidis, Anastasios and Bougiatiotis, Konstantinos and Krithara, Anastasia and Paliouras, Georgios},
     booktitle = {IEEE 33rd International Symposium on Computer Based Medical Systems (CBMS)(2020, to appear)},
     year = {2020},
   }

2. Results of the seventh edition of the bioasq challenge

   Anastasios Nentidis, Konstantinos Bougiatiotis, Anastasia Krithara, and 1 more author

   In Machine Learning and Knowledge Discovery in Databases: International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part II, 2020

   Bib

   @inproceedings{nentidis2020results,
     title = {Results of the seventh edition of the bioasq challenge},
     author = {Nentidis, Anastasios and Bougiatiotis, Konstantinos and Krithara, Anastasia and Paliouras, Georgios},
     booktitle = {Machine Learning and Knowledge Discovery in Databases: International Workshops of ECML PKDD 2019, W{\"u}rzburg, Germany, September 16--20, 2019, Proceedings, Part II},
     pages = {553--568},
     year = {2020},
     organization = {Springer International Publishing},
   }

3. iASiS open data graph: Automated semantic integration of disease-specific knowledge

   Anastasios Nentidis, Konstantinos Bougiatiotis, Anastasia Krithara, and 1 more author

   In 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS), 2020

   Bib

   @inproceedings{nentidis2020iasis,
     title = {iASiS open data graph: Automated semantic integration of disease-specific knowledge},
     author = {Nentidis, Anastasios and Bougiatiotis, Konstantinos and Krithara, Anastasia and Paliouras, Georgios},
     booktitle = {2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS)},
     pages = {220--225},
     year = {2020},
     organization = {IEEE},
   }

4. Drug-drug interaction prediction on a biomedical literature knowledge graph

   Konstantinos Bougiatiotis, Fotis Aisopos, Anastasios Nentidis, and 2 more authors

   In Artificial Intelligence in Medicine: 18th International Conference on Artificial Intelligence in Medicine, AIME 2020, Minneapolis, MN, USA, August 25–28, 2020, Proceedings 18, 2020

   Bib Code

   @inproceedings{bougiatiotis2020drug,
     title = {Drug-drug interaction prediction on a biomedical literature knowledge graph},
     author = {Bougiatiotis, Konstantinos and Aisopos, Fotis and Nentidis, Anastasios and Krithara, Anastasia and Paliouras, Georgios},
     booktitle = {Artificial Intelligence in Medicine: 18th International Conference on Artificial Intelligence in Medicine, AIME 2020, Minneapolis, MN, USA, August 25--28, 2020, Proceedings 18},
     pages = {122--132},
     year = {2020},
     organization = {Springer International Publishing},
   }

5. Overview of BioASQ 8a and 8b: Results of the Eighth Edition of the BioASQ Tasks a and b.

   Anastasios Nentidis, Anastasia Krithara, Konstantinos Bougiatiotis, and 1 more author

   In CLEF (Working Notes), 2020

   Bib

   @inproceedings{nentidis2020overview,
     title = {Overview of BioASQ 8a and 8b: Results of the Eighth Edition of the BioASQ Tasks a and b.},
     author = {Nentidis, Anastasios and Krithara, Anastasia and Bougiatiotis, Konstantinos and Paliouras, Georgios},
     booktitle = {CLEF (Working Notes)},
     year = {2020},
   }

6. Guiding graph embeddings using path-ranking methods for error detection innoisy knowledge graphs

   Konstantinos Bougiatiotis, Romanos Fasoulis, Fotis Aisopos, and 2 more authors

   arXiv preprint arXiv:2002.08762, 2020

   arXiv Bib

   @article{bougiatiotis2020guiding,
     title = {Guiding graph embeddings using path-ranking methods for error detection innoisy knowledge graphs},
     author = {Bougiatiotis, Konstantinos and Fasoulis, Romanos and Aisopos, Fotis and Nentidis, Anastasios and Paliouras, Georgios},
     journal = {arXiv preprint arXiv:2002.08762},
     year = {2020},
   }

7. Overview of bioasq 2020: The eighth bioasq challenge on large-scale biomedical semantic indexing and question answering

   Anastasios Nentidis, Anastasia Krithara, Konstantinos Bougiatiotis, and 4 more authors

   In Experimental IR Meets Multilinguality, Multimodality, and Interaction: 11th International Conference of the CLEF Association, CLEF 2020, Thessaloniki, Greece, September 22–25, 2020, Proceedings 11, 2020

   Bib

   @inproceedings{nentidis2020overviewclef,
     title = {Overview of bioasq 2020: The eighth bioasq challenge on large-scale biomedical semantic indexing and question answering},
     author = {Nentidis, Anastasios and Krithara, Anastasia and Bougiatiotis, Konstantinos and Krallinger, Martin and Rodriguez-Penagos, Carlos and Villegas, Marta and Paliouras, Georgios},
     booktitle = {Experimental IR Meets Multilinguality, Multimodality, and Interaction: 11th International Conference of the CLEF Association, CLEF 2020, Thessaloniki, Greece, September 22--25, 2020, Proceedings 11},
     pages = {194--214},
     year = {2020},
     organization = {Springer International Publishing},
   }

2019

1. iasis: Towards heterogeneous big data analysis for personalized medicine

   Anastasia Krithara, Fotis Aisopos, Vassiliki Rentoumi, and 8 more authors

   In 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS), 2019

   Bib

   @inproceedings{krithara2019iasis,
     title = {iasis: Towards heterogeneous big data analysis for personalized medicine},
     author = {Krithara, Anastasia and Aisopos, Fotis and Rentoumi, Vassiliki and Nentidis, Anastasios and Bougatiotis, Konstantinos and Vidal, Maria-Esther and Menasalvas, Ernestina and Rodriguez-Gonzalez, Alejandro and Samaras, Eleftherios and Garrard, Peter and others},
     booktitle = {2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS)},
     pages = {106--111},
     year = {2019},
     organization = {IEEE},
   }

2018

1. Enhanced movie content similarity based on textual, auditory and visual information

   Konstantinos Bougiatiotis, and Theodoros Giannakopoulos

   Expert Systems with Applications, 2018

   Bib

   @article{bougiatiotis2018enhanced,
     title = {Enhanced movie content similarity based on textual, auditory and visual information},
     author = {Bougiatiotis, Konstantinos and Giannakopoulos, Theodoros},
     journal = {Expert Systems with Applications},
     volume = {96},
     pages = {86--102},
     year = {2018},
     publisher = {Pergamon},
   }

2. Automatic detection of linguistic indicators as a means of early prediction of Alzheimer’s and of related dementias: A crosslinguistics analysis

   Vassiliki Rentoumi, George Paliouras, Dimitra Arfani, and 3 more authors

   Alzheimer’s & Dementia: The Journal of the Alzheimer’s Association, 2018

   Bib

   @article{rentoumi2018automatic,
     title = {Automatic detection of linguistic indicators as a means of early prediction of Alzheimer’s and of related dementias: A crosslinguistics analysis},
     author = {Rentoumi, Vassiliki and Paliouras, George and Arfani, Dimitra and Fragkopoulou, Katerina and Varlokosta, Spyridoula and Garrard, Peter},
     journal = {Alzheimer’s \& Dementia: The Journal of the Alzheimer’s Association},
     volume = {14},
     pages = {1302},
     year = {2018},
   }

2017

1. Multimodal content representation and similarity ranking of movies

   Konstantinos Bougiatiotis, and Theodore Giannakopoulos

   arXiv preprint arXiv:1702.04815, 2017

   Bib

   @article{bougiatiotis2017multimodal,
     title = {Multimodal content representation and similarity ranking of movies},
     author = {Bougiatiotis, Konstantinos and Giannakopoulos, Theodore},
     journal = {arXiv preprint arXiv:1702.04815},
     year = {2017},
   }

2. Results of the fifth edition of the bioasq challenge

   Anastasios Nentidis, Konstantinos Bougiatiotis, Anastasia Krithara, and 2 more authors

   In BioNLP 2017, 2017

   Bib

   @inproceedings{nentidis2017results,
     title = {Results of the fifth edition of the bioasq challenge},
     author = {Nentidis, Anastasios and Bougiatiotis, Konstantinos and Krithara, Anastasia and Paliouras, Georgios and Kakadiaris, Ioannis},
     booktitle = {BioNLP 2017},
     pages = {48--57},
     year = {2017},
   }

2016

1. Content representation and similarity of movies based on topic extraction from subtitles

   Konstantinos Bougiatiotis, and Theodoros Giannakopoulos

   In Proceedings of the 9th Hellenic Conference on Artificial Intelligence, 2016

   Bib

   @inproceedings{bougiatiotis2016content,
     title = {Content representation and similarity of movies based on topic extraction from subtitles},
     author = {Bougiatiotis, Konstantinos and Giannakopoulos, Theodoros},
     booktitle = {Proceedings of the 9th Hellenic Conference on Artificial Intelligence},
     pages = {1--7},
     year = {2016},
   }

2. Author Profiling using Complementary Second Order Attributes and Stylometric Features.

   Konstantinos Bougiatiotis, and Anastasia Krithara

   In CLEF (Working Notes), 2016

   Bib

   @inproceedings{bougiatiotis2016author,
     title = {Author Profiling using Complementary Second Order Attributes and Stylometric Features.},
     author = {Bougiatiotis, Konstantinos and Krithara, Anastasia},
     booktitle = {CLEF (Working Notes)},
     pages = {836--845},
     year = {2016},
   }

3. An exploratory analysis of news trends on twitter

   Konstantinos Bougiatiotis, Anastasia Krithara, Georgios Paliouras, and 1 more author

   In Proceedings of the 2016 IJCAI Workshop on Natural Language Processing meets Journalism, 2016

   Bib

   @inproceedings{bougiatiotis2016exploratory,
     title = {An exploratory analysis of news trends on twitter},
     author = {Bougiatiotis, Konstantinos and Krithara, Anastasia and Paliouras, Georgios and Giannakopoulos, George},
     booktitle = {Proceedings of the 2016 IJCAI Workshop on Natural Language Processing meets Journalism},
     pages = {80--85},
     year = {2016},
   }