Manually curated publication list below (last updated May 2023; see google scholar for a noisy but up-to-date alternative):

Journals

  1. N. Pittaras, G. Giannakopoulos, P. Stamatopoulos, V. Karkaletsis, “Content-based and Knowledge-enriched Representations for Classification Across Modalities: a Survey”, ACM Computing Surveys (2023) 📄 .

  2. N. Pittaras, G. Giannakopoulos, G. Papadakis, V. Karkaletsis,“Text classification with semantically enriched word embeddings”, JNLE Special Issue: Informing Neural Architectures for NLP with Linguistic and background Knowledge, 2020 📄

  3. F. Markatopoulou, V. Mezaris, N. Pittaras, I. Patras, “Local Features and a Two-Layer Stacking Architecture for Semantic Concept Detection in Video”, IEEE TETC, 2015 📄 .

Book Chapters

  1. N. Pittaras, S. Montanelli, G. Giannakopoulos, A. Ferrara, V. Karkaletsis, “Crowdsourcing in Single-document Summary Evaluation: the Argo Way”, Multilingual Text Analysis: Challenges, Models & Approaches, World Scientific Publishers, 2020 📄

  2. G. Giannakopoulos, G. Kiomourtzis, N. Pittaras, V. Karkaletsis, “Scaling and semantically enriching language-agnostic summarization”, Trends and Applications of Text Summarization Techniques, 2019 📄

Conferences / Workshops

  1. K. Paeth, D. Atherton, N. Pittaras, H. Frase, and S. McGregor. “Lessons for Editors of AI Incidents from the AI Incident Database”, IAAI25, AAAI 2025, PA, USA. 📄 .

  2. N. Pittaras, and McGregor, S. “A taxonomic system for failure cause analysis of open source AI incidents”, SafeAI Workshop, AAAI 2023, Wahsington DC 📄 💻 .

  3. N. Pittaras “A Cooperative Reinforcement Learning Environment for Detecting and Penalizing Betrayal”, MLSafety Workshop, NeurIPS 2022, virtual 📄 .

  4. Ymeralli, Elisjana, et al. “Representing Online Debates in the Context of E-Journalism” (Best Paper Award), SEMAPRO 2022, Valencia, Spain 📄 .

  5. Flouris, G., et al. “DebateLab: Tools for E-Journalism and Informed Citizenship”, GEC 2022, Thessaloniki, Greece 📄 .

  6. Zmandar, N., El-Haj, M., Rayson, P., Litvak, M., Giannakopoulos, G., & Pittaras, N. (2021). The financial narrative summarisation shared task fns 2021. In Proceedings of the 3rd Financial Narrative Processing Workshop 📄

  7. V. Rentoumi, et al. “LANGaware: Introducing the right solution for the early detection of neurodegenerative and psychiatric diseases.” Alzheimer’s & Dementia (abstract) 2021

  8. V. Rentoumi, et al. “LANGaware: Leveraging machine learning on natural language for the early detection of neurodegenerative and psychiatric diseases.” Alzheimer’s & Dementia (abstract) 2021

  9. M. El-Haj, M. Litvak, N. Pittaras, G. Giannakopoulos, “The Financial Narrative Summarisation Shared Task (FNS 2020)”, COLING 2020, Winter 2020 📄

  10. M. El-Haj, V. Athanasakou, S. Ferradans, C. Salzedo, A. Elhag, H. Bouamor, M. Litvak, P. Rayson, G. Giannakopoulos, N. Pittaras “Proceedings of the 1st Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation”, COLING 2020, Winter 2020 📄

  11. M. El-Haj, A. AbuRa’ed, M. Litvak, N. Pittaras and G. Giannakopoulos, “The Financial Narrative Summarisation Shared Task (FNS 2020)”, FNP-FNS 2020, Barcelona, Spain (virtual) 📄 .

  12. C. Vasilopoulou, N. Pittaras and G. Giannakopoulos, “A study of different, personalised representations of multi-omic data for bladder cancer tissue prediction”, SETN 2020, Athens, Greece (virtual).

  13. A. Kosmopoulos, A. Liapis, G. Giannakopoulos and N. Pittaras, “Summarizing Game Reviews: First Contact”, SETN 2020, Athens, Greece (virtual) 📄 .

  14. G. Papadakis, L. Tsekouras, M. Thanos, N. Pittaras, G. Simonini, D. Skoutas, P. Isaris, G. Giannakopoulos, T. Palpanas, M. Koubarakis, “JedAI3: beyond batch, blocking-based Entity Resolution”, EDBT 2020, Spring 2020 📄 .

  15. G. Giannakopoulos, N. Pittaras “The Summary Evaluation Task in the MultiLing-RANLP 2019 Workshop”, Multliling Workshop, RANLP2019, Varna, Bulgaria 📄 .

  16. N. Gialitsis, N. Pittaras, P. Stamatopoulos, “A topic-based sentence representation for extractive text summarization”, Multliling Workshop, RANLP2019, Varna, Bulgaria 📄 .

  17. N. Pittaras, V. Karkaletsis, “A study of semantic augmentation of word embeddings for extractive summarization”, Multliling Workshop, RANLP2019, Varna, Bulgaria 📄 .

  18. C. Themeli, G. Giannakopoulos, N. Pittaras “A study of text representations for Hate Speech Detection”, CICLING 2019, La Rochelle, France 📄 .

  19. N. Pittaras, G. Papadakis, G. Stamoulis, G. Argyriou, E. K. Taniskidou, E. Thanos, G. Giannakopoulos, L.Tsekouras, E. Koubarakis, “GeoSensor: Semantifying Change and Event Detection over Big Data”, SAC 2019, Limassol, Cyprus 📄 .

  20. N. Kostagiolas, N. Pittaras, C. Nikolaou, G. Giannakopoulos, “Exploring different sequence representations and classification methods for the prediction of nucleosome positioning”, bioRxiv, 2018 📄 .

  21. N. Pittaras, G. Giannakopoulos, L. Tsekouras, I. Varlamis, “Document clustering as a record linkage problem”, DocEng'18, Halifax, Nova Scotia, Canada, 2018 📄 .

  22. G. Argyriou, G. Papadakis, G. Stamoulis, E. K. Taniskidou, N. Pittaras, G. Giannakopoulos, S. Albani, M. Lazzarini, E. Angiuli, A. Popescu, A. Argyridis and M. Koubarakis. “GeoSensor: On-line Scalable Change and Event Detection over Big Data”, The Web Conference 2018, Lyon, France, April 2018. 📄 .

  23. S. Auer et al. “The BigDataEurope Platform - Supporting the Variety Dimension of Big Data”, International Conference on Web Engineering, Cham, 2017 📄 .

  24. N. Pittaras, F.Markatopoulou, V.Mezaris, I.Patras, “Comparison of Fine-tuning and Extension Strategies for Deep Convolutional Neural Networks”, 23rd International Conference on Multimedia Modeling, Reykjavik, Iceland, Jan 2017 📄 .

  25. F. Markatopoulou, A. Ioannidou, C. Tzelepis, T. Mironidis, D. Galanopoulos, S. Arestis-Chartampilas, N. Pittaras, K. Avgerinakis, N. Gkalelis, A. Moumtzidou, S. Vrochidis, V. Mezaris, I. Kompatsiaris, I. Patras, “ITI-CERTH participation to TRECVID 2015”, Proc. TRECVID 2015 Workshop, Gaithersburg, MD, USA, Nov. 2015 📄 .

  26. G. Kalpakis, T. Tsikrika, F. Markatopoulou, N. Pittaras, S. Vrochidis, V. Mezaris, I. Patras, I. Kompatsiaris, “Concept Detection on Multimedia Web Resources about Home Made Explosives”, Proc. Int. Workshop on Multimedia Forensics and Security (MFSec), held in conjunction with the 10th Int. Conf. on Availability, Reliability and Security (ARES), Toulouse, France, Aug. 2015 📄 .

  27. F. Markatopoulou, N. Pittaras, O. Papadopoulou, V. Mezaris, I. Patras, “A Study on the Use of a Binary Local Descriptor and Color Extensions of Local Descriptors for Video Concept Detection”, Proc. 21st Int. Conf. on MultiMedia Modeling (MMM'15), Sydney, Australia, January 2015 📄 .

  28. N. Gkalelis, F. Markatopoulou, A. Moumtzidou, D. Galanopoulos, K. Avgerinakis, N. Pittaras, S. Vrochidis, V. Mezaris, I. Kompatsiaris, I. Patras, “ITI-CERTH participation to TRECVID 2014”, Proc. TRECVID 2014 Workshop, Orlando, FL, USA, November 2014 📄 .

Academic Theses

  1. Pittaras Nikiforos “Beyond Deep Learning: Enriching Data Representations for Machine Learning Tasks”, PhD Dissertation, National Kapodistrian University of Athens (NKUA), Dept. of Informatics and Telecommunications, 2021 📄 💻 .

  2. Pittaras Nikiforos, “Multimodal video classification with deep neural networks”, MSc Thesis, National Kapodistrian University of Athens (NKUA), Dept. of Informatics and Telecommunications, 2018 📄

  3. Pittaras Nikiforos, “Image registration with unified particle swarm optimization”, MSc Thesis,Department of Computer Science and Engineering, University of Ioannina, 2013 📄