Gerasimos Spanakis

Orcid: 0000-0002-0799-0241

According to our database1, Gerasimos Spanakis authored at least 62 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Exploiting Individual Graph Structures to Enhance Ecological Momentary Assessment (EMA) Forecasting.
CoRR, 2024

ColBERT-XM: A Modular Multi-Vector Representation Model for Zero-Shot Multilingual Information Retrieval.
CoRR, 2024

Triple-Encoders: Representations That Fire Together, Wire Together.
CoRR, 2024

Sequence Shortening for Context-Aware Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Interpretable Long-Form Legal Question Answering with Retrieval-Augmented Large Language Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Model-based Clustering of Individuals' Ecological Momentary Assessment Time-series Data for Improving Forecasting Performance.
CoRR, 2023

Closing the Loop: Testing ChatGPT to Generate Model Explanations to Improve Human Labelling of Sponsored Content on Social Media.
Proceedings of the Explainable Artificial Intelligence, 2023

Larth: Dataset and Machine Translation for Etruscan.
Proceedings of the Ancient Language Processing Workshop, 2023

Multi-Modal Embeddings for Isolating Cross-Platform Coordinated Information Campaigns on Social Media.
Proceedings of the Disinformation in Open Online Media, 2023

"What's wrong with this product?": Detection of product safety issues based on information consumers share online.
Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law, 2023

IDTraffickers: An Authorship Attribution Dataset to link and connect Potential Human-Trafficking Operations on Text Escort Advertisements.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Regulation and NLP (RegNLP): Taming Large Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Finding the Law: Enhancing Statutory Article Retrieval via Graph Neural Networks.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

VendorLink: An NLP approach for Identifying & Linking Vendor Migrants & Potential Aliases on Darknet Markets.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Imagination is All You Need! Curved Contrastive Learning for Abstract Sequence Modeling Utilized on Long Short-Term Dialogue Planning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Clustering individuals based on multivariate EMA time-series data.
CoRR, 2022

Upside Down: Exploring the Ecosystem of Dark Web Data Markets.
Proceedings of the ICT Systems Security and Privacy Protection, 2022

Using Explainable Boosting Machine to Compare Idiographic and Nomothetic Approaches for Ecological Momentary Assessment Data.
Proceedings of the Advances in Intelligent Data Analysis XX, 2022

FOREAL: RoBERTa Model for Fake News Detection based on Emotions.
Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

A Statutory Article Retrieval Dataset in French.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
A Statutory Article Retrieval Dataset in French.
CoRR, 2021

Analysing The Impact Of Linguistic Features On Cross-Lingual Transfer.
CoRR, 2021

Can We Detect Harmony in Artistic Compositions? A Machine Learning Approach.
Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

SeqAttack: On Adversarial Attacks for Named Entity Recognition.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2021

2020
Evaluating Bias In Dutch Word Embeddings.
CoRR, 2020

Hybrid Tiled Convolutional Neural Networks for Text Sentiment Classification.
CoRR, 2020

Fake News Detection on Twitter Using Propagation Structures.
Proceedings of the Disinformation in Open Online Media, 2020

Return of the AI: An Analysis of Legal Research on Artificial Intelligence using Topic Modeling.
Proceedings of the Natural Legal Language Processing Workshop 2020 co-located with the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2020), 2020

Adapting End-to-End Speech Recognition for Readable Subtitles.
Proceedings of the 17th International Conference on Spoken Language Translation, 2020

Low-Latency Sequence-to-Sequence Speech Recognition and Translation by Partial Hypothesis Selection.
Proceedings of the Interspeech 2020, 2020

Hybrid Tiled Convolutional Neural Networks (HTCNN) Text Sentiment Classification.
Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020

'Thy Algorithm Shalt Not Bear False Witness': An Evaluation of Multiclass Debiasing Methods on Word Embeddings.
Proceedings of the Artificial Intelligence and Machine Learning - 32nd Benelux Conference, 2020

2019
#MeTooMaastricht: Building a Chatbot to Assist Survivors of Sexual Harassment.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

LoGANv2: Conditional Style-Based Logo Generation with Generative Adversarial Networks.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Exploring the Context of Recurrent Neural Network based Conversational Agents.
Proceedings of the 11th International Conference on Agents and Artificial Intelligence, 2019

Towards Controlled Transformation of Sentiment in Sentences.
Proceedings of the 11th International Conference on Agents and Artificial Intelligence, 2019

Autoregressive Convolutional Recurrent Neural Network for Univariate and Multivariate Time Series Prediction.
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

It's a Match! Reciprocal Recommender System for Graduating Students and Jobs.
Proceedings of the 12th International Conference on Educational Data Mining, 2019

2018
MaaSim: A Liveability Simulation for Improving the Quality of Life in Cities.
Proceedings of the ECML PKDD 2018 Workshops, 2018

LoGAN: Generating Logos with a Generative Adversarial Neural Network Conditioned on Color.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

SEMTec: Social Emotion Mining Techniques for Analysis and Prediction of Facebook Post Reactions.
Proceedings of the Agents and Artificial Intelligence - 10th International Conference, 2018

Social Emotion Mining Techniques for Facebook Posts Reaction Prediction.
Proceedings of the 10th International Conference on Agents and Artificial Intelligence, 2018

2017
Machine learning techniques in eating behavior e-coaching - Balancing between generalization and personalization.
Pers. Ubiquitous Comput., 2017

Worldwide Universities Network (WUN) Web Observatory: Applying Lessons from the Web to Transform the Research Data Ecosystem.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Multi-Agent Parking Place Simulation.
Proceedings of the Advances in Practical Applications of Cyber-Physical Multi-Agent Systems: The PAAMS Collection, 2017

Reciprocal Recommender System for Learners in Massive Open Online Courses (MOOCs).
Proceedings of the Advances in Web-Based Learning - ICWL 2017, 2017

Massive Open Online Courses Temporal Profiling for Dropout Prediction.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

A Retrieval-Based Dialogue System Utilizing Utterance and Context Embeddings.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

A Course Recommender System based on Graduating Attributes.
Proceedings of the CSEDU 2017, 2017

Accumulated Gradient Normalization.
Proceedings of The 9th Asian Conference on Machine Learning, 2017

2016
Enhancing Classification of Ecological Momentary Assessment Data Using Bagging and Boosting.
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

Enhancing Visual Clustering Using Adaptive Moving Self-Organizing Maps (AMSOM).
Proceedings of the Agents and Artificial Intelligence - 8th International Conference, 2016

AMSOM: Adaptive Moving Self-organizing Map for Clustering and Visualization.
Proceedings of the 8th International Conference on Agents and Artificial Intelligence (ICAART 2016), 2016

Towards a Topic Discovery and Tracking System with Application to News Items.
Proceedings of the Future and Emerging Trends in Language Technology. Machine Learning and Big Data, 2016

Bagged Boosted Trees for Classification of Ecological Momentary Assessment Data.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

Utilizing Longitudinal Data to Build Decision Trees for Profile Building and Predicting Eating Behavior.
Proceedings of the International Conference on ENTERprise Information Systems/International Conference on Project MANagement/International Conference on Health and Social Care Information Systems and Technologies, 2016

2015
Network Analysis of Ecological Momentary Assessment Data for Monitoring and Understanding Eating Behavior.
Proceedings of the Smart Health - International Conference, 2015

2012
Ευφυείς τεχνικές σημασιολογικής ανάλυσης και αναζήτησης κειμένου
PhD thesis, 2012

DoSO: a document self-organizer.
J. Intell. Inf. Syst., 2012

Exploiting Wikipedia Knowledge for Conceptual Hierarchical Clustering of Documents.
Comput. J., 2012

2010
Conceptual Hierarchical Clustering of Documents using Wikipedia knowledge.
Proceedings of the Computer and Information Sciences, 2010

2009
A Hybrid Web-Based Measure for Computing Semantic Relatedness Between Words.
Proceedings of the ICTAI 2009, 2009


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