publications

2025

1. Influencer self-disclosure practices on Instagram: A multi-country longitudinal study

   Thales Bertaglia, Catalina Goanta, Gerasimos Spanakis, and Adriana Iamnitchi

   Online Social Networks and Media, 2025

   Abs DOI

   This paper presents a longitudinal study of more than ten years of activity on Instagram consisting of over a million posts by 400 content creators from four countries: the US, Brazil, Netherlands and Germany. Our study shows differences in the professionalisation of content monetisation between countries, yet consistent patterns; significant differences in the frequency of posts yet similar user engagement trends; and significant differences in the disclosure of sponsored content in some countries, with a direct connection with national legislation. We analyse shifts in marketing strategies due to legislative and platform feature changes, focusing on how content creators adapt disclosure methods to different legal environments. We also analyse the impact of disclosures and sponsored posts on engagement and conclude that, although sponsored posts have lower engagement on average, properly disclosing ads does not reduce engagement further. Our observations stress the importance of disclosure compliance and can guide authorities in developing and monitoring them more effectively.

2024

1. Interpretable long-form legal question answering with retrieval-augmented large language models

   Antoine Louis, Gijs Dijck, and Gerasimos Spanakis

   In Proceedings of the AAAI Conference on Artificial Intelligence, 2024
2. Sequence Shortening for Context-Aware Machine Translation

   Paweł Maka, Yusuf Semerci, Jan Scholtes, and Gerasimos Spanakis

   In Findings of the Association for Computational Linguistics: EACL 2024, Mar 2024
3. Triple-Encoders: Representations That Fire Together, Wire Together

   Justus-Jonas Erker, Florian Mai, Nils Reimers, Gerasimos Spanakis, and Iryna Gurevych

   In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Aug 2024

   DOI
4. ColBERT-XM: A Modular Multi-Vector Representation Model for Zero-Shot Multilingual Information Retrieval

   Antoine Louis, Vageesh Saxena, Gijs Dijck, and Gerasimos Spanakis

   arXiv preprint arXiv:2402.15059, Aug 2024
5. Exploiting Individual Graph Structures to Enhance Ecological Momentary Assessment (EMA) Forecasting

   Mandani Ntekouli, Gerasimos Spanakis, Lourens Waldorp, and Anne Roefs

   In 2024 IEEE 40th International Conference on Data Engineering Workshops (ICDEW), Aug 2024
6. Automated Transparency: A Legal and Empirical Analysis of the Digital Services Act Transparency Database

   Rishabh Kaushal, Jacob Van De Kerkhof, Catalina Goanta, Gerasimos Spanakis, and Adriana Iamnitchi

   In Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, Rio de Janeiro, Brazil, Aug 2024

   DOI
7. Navigating WebAI: Training Agents to Complete Web Tasks with Large Language Models and Reinforcement Learning

   Lucas-Andrei Thil, Mirela Popa, and Gerasimos Spanakis

   In Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, Aug 2024
8. Explaining Clustering of Ecological Momentary Assessment Data Through Temporal and Feature Attention

   Mandani Ntekouli, Gerasimos Spanakis, Lourens Waldorp, and Anne Roefs

   In World Conference on Explainable Artificial Intelligence, Aug 2024
9. Across Platforms and Languages: Dutch Influencers and Legal Disclosures on Instagram, YouTube and TikTok

   Haoyang Gui, Thales Bertaglia, Catalina Goanta, Sybe Vries, and Gerasimos Spanakis

   Aug 2024
10. Fixed and Adaptive Simultaneous Machine Translation Strategies Using Adapters

    Abderrahmane Issam, Yusuf Can Semerci, Jan Scholtes, and Gerasimos Spanakis

    In Proceedings of the 21st International Conference on Spoken Language Translation (IWSLT 2024), Aug 2024

    Abs DOI

    Simultaneous machine translation aims at solving the task of real-time translation by starting to translate before consuming the full input, which poses challenges in terms of balancing quality and latency of the translation. The wait-k policy offers a solution by starting to translate after consuming words, where the choice of the number k directly affects the latency and quality. In applications where we seek to keep the choice over latency and quality at inference, the wait-k policy obliges us to train more than one model. In this paper, we address the challenge of building one model that can fulfil multiple latency levels and we achieve this by introducing lightweight adapter modules into the decoder. The adapters are trained to be specialized for different wait-k values and compared to other techniques they offer more flexibility to allow for reaping the benefits of parameter sharing and minimizing interference. Additionally, we show that by combining with an adaptive strategy, we can further improve the results. Experiments on two language directions show that our method outperforms or competes with other strong baselines on most latency values.

11. Know When to Fuse: Investigating Non-English Hybrid Retrieval in the Legal Domain

    Antoine Louis, Gijs Dijck, and Gerasimos Spanakis

    arXiv preprint arXiv:2409.01357, Aug 2024
12. LegalLens Shared Task 2024: Legal Violation Identification in Unstructured Text

    Ben Hagag, Gil Gil Semo, Dor Bernsohn, Liav Harpaz, Pashootan Vaezipoor, Rohit Saha, Kyryl Truskovskyi, and Gerasimos Spanakis

    In Proceedings of the Natural Legal Language Processing Workshop 2024, Nov 2024

    Abs DOI

    This paper presents the results of the LegalLens Shared Task, focusing on detecting legal violations within text in the wild across two sub-tasks: LegalLens-NER for identifying legal violation entities and LegalLens-NLI for associating these violations with relevant legal contexts and affected individuals. Using an enhanced LegalLens dataset covering labor, privacy, and consumer protection domains, 38 teams participated in the task. Our analysis reveals that while a mix of approaches was used, the top-performing teams in both tasks consistently relied on fine-tuning pre-trained language models, outperforming legal-specific models and few-shot methods. The top-performing team achieved a 7.11% improvement in NER over the baseline, while NLI saw a more marginal improvement of 5.7%. Despite these gains, the complexity of legal texts leaves room for further advancements.

13. Examining Social Media Usage Characteristics Among European Citizens and Its Influence on Civic Life: A Scoping Review

    Alexandra Masciantonio, Gerasimos Spanakis, Philippe Verduyn, and  others

    Review of Communication Research, Nov 2024
14. Enhanced boosting-based transfer learning for modeling ecological momentary assessment data

    Mandani Ntekouli, Gerasimos Spanakis, Lourens Waldorp, and Anne Roefs

    In ML4ITS2023-3rd Workshop on Machine Learning for Irregular Time Series: Advances in Generative Models, Global Models and Self-Supervised Learning (https://ml4its. github. io/ml4its2024/# contributions). ECML, Nov 2024
15. Machine Learning for Consumer Forensics (or We Need to Talk About Online Enforcement of Regulations)

    Gerasimos Spanakis

    Journal of European Consumer and Market Law, Nov 2024
16. Consumer Protection and Digital Vulnerability: Common and Diverging Paths

    Catalina Goanta, Giovanni Gregorio, and Gerasimos Spanakis

    In The New Shapes of Digital Vulnerability in European Private Law, Nov 2024
17. Analyzing the Attention Heads for Pronoun Disambiguation in Context-aware Machine Translation Models

    Paweł Mąka, Yusuf Can Semerci, Jan Scholtes, and Gerasimos Spanakis

    arXiv preprint arXiv:2412.11187, Nov 2024
18. MATCHED: Multimodal Authorship-Attribution To Combat Human Trafficking in Escort-Advertisement Data

    Vageesh Saxena, Benjamin Bashpole, Gijs Van Dijck, and Gerasimos Spanakis

    arXiv preprint arXiv:2412.13794, Nov 2024

2023

1. Imagination is All You Need! Curved Contrastive Learning for Abstract Sequence Modeling Utilized on Long Short-Term Dialogue Planning

   Justus-Jonas Erker, Stefan Schaffer, and Gerasimos Spanakis

   In Findings of the Association for Computational Linguistics: ACL 2023, Jul 2023

   DOI
2. Finding the Law: Enhancing Statutory Article Retrieval via Graph Neural Networks

   Antoine Louis, Gijs Dijck, and Gerasimos Spanakis

   In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, May 2023

   DOI
3. VendorLink: An NLP approach for Identifying & Linking Vendor Migrants & Potential Aliases on Darknet Markets

   Vageesh Saxena, Nils Rethmeier, Gijs Dijck, and Gerasimos Spanakis

   In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Jul 2023

   DOI
4. Closing the loop: Testing chatgpt to generate model explanations to improve human labelling of sponsored content on social media

   Thales Bertaglia, Stefan Huber, Catalina Goanta, Gerasimos Spanakis, and Adriana Iamnitchi

   In World Conference on Explainable Artificial Intelligence, Jul 2023
5. Clustering Individuals Based on Multivariate EMA Time-Series Data

   Mandani Ntekouli, Gerasimos Spanakis, Lourens Waldorp, and Anne Roefs

   In Quantitative Psychology: The 87th Annual Meeting of the Psychometric Society, Bologna, Italy, 2022, Jul 2023
6. " What’s wrong with this product?" Detection of product safety issues based on information consumers share online

   Max Fuchs, Amit Jadhav, Advaith Jaishankar, Caroline Cauffman, and Gerasimos Spanakis

   In Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law, Jul 2023
7. Evaluating multivariate time-series clustering using simulated ecological momentary assessment data

   Mandani Ntekouli, Gerasimos Spanakis, Lourens Waldorp, and Anne Roefs

   Machine Learning with Applications, Jul 2023
8. Larth: Dataset and Machine Translation for Etruscan

   Gianluca Vico, and Gerasimos Spanakis

   In Proceedings of the Ancient Language Processing Workshop, Sep 2023
9. IDTraffickers: An Authorship Attribution Dataset to link and connect Potential Human-Trafficking Operations on Text Escort Advertisements

   Vageesh Saxena, Benjamin Ashpole, Gijs Dijck, and Gerasimos Spanakis

   In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, Dec 2023

   DOI
10. Model-based Clustering of Individuals’ Ecological Momentary Assessment Time-series Data for Improving Forecasting Performance

    Mandani Ntekouli, Gerasimos Spanakis, Lourens Waldorp, and Anne Roefs

    arXiv preprint arXiv:2310.07491, Dec 2023
11. Multi-Modal Embeddings for Isolating Cross-Platform Coordinated Information Campaigns on Social Media

    Fabio Barbero, Sander Camp, Kristian Kuijk, Carlos Soto Garcı́a-Delgado, and Gerasimos Spanakis

    In Disinformation in Open Online Media: 5th Multidisciplinary International Symposium, MISDOOM 2023, Amsterdam, The Netherlands, November 21–22, 2023, Proceedings, Dec 2023
12. Regulation and NLP (RegNLP): Taming Large Language Models

    Catalina Goanta, Nikolaos Aletras, Ilias Chalkidis, Sofia Ranchordás, and Gerasimos Spanakis

    In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, Dec 2023

    DOI
13. Legal Knowledge and Information Systems

    Giovanni Sileno, Gerasimos Spanakis, and Gijs Dijck

    In 36th International Conference on Legal Knowledge and Information Systems, Dec 2023

2022

1. A Statutory Article Retrieval Dataset in French

   Antoine Louis, and Gerasimos Spanakis

   In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), May 2022

   DOI
2. The commercial unfairness of recommender systems on social media

   Catalina Goanta, and Gerasimos Spanakis

   In Artificial intelligence and the media, May 2022
3. FOREAL: RoBERTa Model for Fake News Detection based on Emotions.

   Vladislav Kolev, Gerhard Weiss, and Gerasimos Spanakis

   In ICAART (2), May 2022
4. Using explainable boosting machine to compare idiographic and nomothetic approaches for ecological momentary assessment data

   Mandani Ntekouli, Gerasimos Spanakis, Lourens Waldorp, and Anne Roefs

   In International symposium on intelligent data analysis, May 2022
5. Upside down: Exploring the ecosystem of dark web data markets

   Bogdan Covrig, Enrique Barrueco Mikelarena, Constanta Rosca, Catalina Goanta, Gerasimos Spanakis, and Apostolis Zarras

   In IFIP International Conference on ICT Systems Security and Privacy Protection, May 2022
6. Discussing The Legitimacy of Digital Market Surveillance

   Catalina Goanta, and Jerry Spanakis

   Stan. Computational Antitrust, May 2022
7. A Cancel Culture Corpus through the Lens of Natural Language Processing

   Justus-Jonas Erker, Catalina Goanta, and Gerasimos Spanakis

   In Proceedings of the First Workshop on Language Technology and Resources for a Fair, Inclusive, and Safe Society within the 13th Language Resources and Evaluation Conference, Jun 2022

2021

1. On the Transparent Predictive Models for Ecological Momentary Assessment Data

   Kirill I Tumanov, and Gerasimos Spanakis

   Explainable AI Within the Digital Transformation and Cyber Physical Systems: XAI Methods and Applications, Jun 2021
2. SeqAttack: On Adversarial Attacks for Named Entity Recognition

   Walter Simoncini, and Gerasimos Spanakis

   In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, Nov 2021

   DOI
3. A study of BERT’s processing of negations to determine sentiment

   Giorgia Nidia Carranza Tejada, Johannes C Scholtes, and Gerasimos Spanakis

   In BNAIC/BENELEARN 2021, Nov 2021
4. Written evidence on the’Influencer culture’inquiry submitted to the UK Parliament Digital, Culture, Media and Sport Committee

   Thales Costa Bertaglia, Sophie Bishop, Hayleigh Bosher, Angèle Christin, Daniel Ershov, Catalina Goanta, Giovanni Gregorio, Gemma Newlands, Christine Riefa, Gerasimos Spanakis, and  others

   Nov 2021
5. Digital monitoring of unlawful dark patterns: What role for public interest technology?

   Constanta Rosca, Bogdan Covrig, Catalina Goanta, Gerasimos Spanakis, and Gunes Acar

   In What can CHI do about dark patterns?: W28, Nov 2021
6. Can we detect harmony in artistic compositions? A machine learning approach

   Adam Vandor, Marie Van Vollenhoven, Gerhard Weiss, and Gerasimos Spanakis

   In In Proceedings of the 13th International Conference on Agents and Artificial Intelligence (ICAART 2021), Nov 2021
7. Analysing the impact of linguistic features on cross-lingual transfer

   Błażej Dolicki, and Gerasimos Spanakis

   arXiv preprint arXiv:2105.05975, Nov 2021

2020

1. Early fake news detection on Twitter by analysing user characteristics in a tweet propagation path.

   Konstantin Smirnov, Gerasimos Spanakis, and Gerhard Weiss

   In 2nd Multidisciplinary International Symposium on Disinformation in Open Online Media, Nov 2020
2. # MeTooMaastricht: Building a chatbot to assist survivors of sexual harassment

   Tobias Bauer, Emre Devrim, Misha Glazunov, William Lopez Jaramillo, Balaganesh Mohan, and Gerasimos Spanakis

   In Machine Learning and Knowledge Discovery in Databases: International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part I, Nov 2020
3. Hybrid Tiled Convolutional Neural Networks (HTCNN) Text Sentiment Classification.

   Maria Mihaela Trusca, and Gerasimos Spanakis

   In ICAART (2), Nov 2020
4. Business Model Prevalence in Influencer Marketing on Instagram

   Thales Bertaglia, Catalina Goanta, and Gerasimos Spanakis

   In Workshop on Technology and Consumer Protection (ConPro ’20) Virtual Conference on May 21, 2020 Co-located with the 41th IEEE Symposium on Security and Privacy, Nov 2020
5. Adapting end-to-end speech recognition for readable subtitles

   Danni Liu, Jan Niehues, and Gerasimos Spanakis

   arXiv preprint arXiv:2005.12143, Nov 2020
6. Low-latency sequence-to-sequence speech recognition and translation by partial hypothesis selection

   Danni Liu, Gerasimos Spanakis, and Jan Niehues

   arXiv preprint arXiv:2005.11185, Nov 2020
7. Influencers and social media recommender systems: unfair commercial practices in EU and US Law

   Catalina Goanta, and Gerasimos Spanakis

   Nov 2020
8. Return of the AI: An Analysis of Legal Research on Artificial Intelligence Using Topic Modeling

   Constanta Rosca, Bogdan Covrig, Catalina Goanta, Gijs Dijck, and Gerasimos Spanakis

   In 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) Virtual Workshop, August 24, 2020., Nov 2020
9. Fake news detection on twitter using propagation structures

   Marion Meyers, Gerhard Weiss, and Gerasimos Spanakis

   In Disinformation in Open Online Media: Second Multidisciplinary International Symposium, MISDOOM 2020, Leiden, The Netherlands, October 26–27, 2020, Proceedings 2, Nov 2020
10. ‘Thy algorithm shalt not bear false witness’: An Evaluation of Multiclass Debiasing Methods on Word Embeddings

    Thalea Schlender, and Gerasimos Spanakis

    In Benelux Conference on Artificial Intelligence, Nov 2020
11. Evaluating Bias In Dutch Word Embeddings

    Rodrigo Alejandro Chávez Mulsa, and Gerasimos Spanakis

    In Proceedings of the Second Workshop on Gender Bias in Natural Language Processing, Nov 2020
12. Dutch language polarity analysis on reviews and cognition description datasets

    Gerasimos Spanakis, and Josephine Rutten

    In Computational Linguistics in the Netherlands, Nov 2020
13. Comment submitted to the US Federal Trade Commission on Endorsement Guidelines update

    Catalina Goanta, Thales Costa Bertaglia, Gerasimos Spanakis, Giovanni Gregorio, and Sofia Ranchordás

    Nov 2020

2019

1. SEMTec: social emotion mining techniques for analysis and prediction of facebook post reactions

   Tobias Moers, Florian Krebs, and Gerasimos Spanakis

   In Agents and Artificial Intelligence: 10th International Conference, ICAART 2018, Funchal, Madeira, Portugal, January 16–18, 2018, Revised Selected Papers 10, Nov 2019
2. Exploring the context of recurrent neural network based conversational agents

   Raffaele Piccini, and Gerasimos Spanakis

   arXiv preprint arXiv:1901.11462, Nov 2019
3. Towards controlled transformation of sentiment in sentences

   Wouter Leeftink, and Gerasimos Spanakis

   arXiv preprint arXiv:1901.11467, Nov 2019
4. Autoregressive convolutional recurrent neural network for univariate and multivariate time series prediction

   Matteo Maggiolo, and Gerasimos Spanakis

   arXiv preprint arXiv:1903.02540, Nov 2019
5. Back to the future: Waves of legal scholarship on artificial intelligence

   Catalina Goanta, Gijs Dijck, and Gerasimos Spanakis

   Forthcoming in Sofia Ranchordás and Yaniv Roznai, Time, Law and Change (Oxford, Hart Publishing, 2019), Nov 2019
6. It’s a Match! Reciprocal Recommender System for Graduating Students and Jobs.

   Anik Jacobsen, and Gerasimos Spanakis

   In EDM, Nov 2019
7. Food craving in daily life: comparison of overweight and normal-weight participants with ecological momentary assessment

   A Roefs, B Boh, G Spanakis, C Nederkoorn, LHJM Lemmens, and A Jansen

   Journal of Human Nutrition and Dietetics, Nov 2019
8. LoGANv2: Conditional style-based logo generation with generative adversarial networks

   Cedric Oeldorf, and Gerasimos Spanakis

   In 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA), Nov 2019

2018

1. MaaSim: A Liveability Simulation for Improving the Quality of Life in Cities

   Dominika Woszczyk, and Gerasimos Spanakis

   In Joint European Conference on Machine Learning and Knowledge Discovery in Databases, Nov 2018
2. LOGAN: Generating logos with a generative adversarial neural network conditioned on color

   Ajkel Mino, and Gerasimos Spanakis

   In 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA), Nov 2018
3. Neural Attention and Morphological Word Embedding for Contract Element Extraction

   Jose Luis Velasquez Sosa, and Gerasimos Spanakis

   In BNAIC/BENELEARN 2018, Nov 2018

2017

1. Bayesian Nonparametric Topic Models for Short Text Data

   Renzo Poddighe, and Gerasimos Spanakis

   In Computational Linguistics in the Netherlands, Nov 2017
2. Enhancing Visual Clustering Using Adaptive Moving Self-Organizing Maps (AMSOM)

   Gerasimos Spanakis, and Gerhard Weiss

   In Agents and Artificial Intelligence: 8th International Conference, ICAART 2016, Rome, Italy, February 24-26, 2016, Revised Selected Papers 8, Nov 2017
3. A course recommender system based on graduating attributes

   Behdad Bakhshinategh, Gerasimos Spanakis, Osmar Zaiane, and Samira ElAtia

   In International Conference on Computer Supported Education, Nov 2017
4. Worldwide Universities Network (WUN) Web Observatory: Applying Lessons from the Web to Transform the Research Data Ecosystem

   Simon Price, Wendy Hall, Graeme Earl, Thanassis Tiropanis, Ramine Tinati, Xin Wang, Eleonora Gandolfi, Jane Gatewood, Richard Boateng, David Denemark, Alexander Groflin, Brian Loader, Maxine Schmidt, Marilyn Billings, Gerasimos Spanakis, Hussein Suleman, Kelvin Tsoi, Bridgette Wessels, Jie Xu, and Mark Birkin

   In Proceedings of the 26th International Conference on World Wide Web Companion, Perth, Australia, Nov 2017

   DOI
5. Machine learning techniques in eating behavior e-coaching: Balancing between generalization and personalization

   Gerasimos Spanakis, Gerhard Weiss, Bastiaan Boh, Lotte Lemmens, and Anne Roefs

   Personal and Ubiquitous Computing, Nov 2017
6. Multi-agent parking place simulation

   Thomas Vrancken, Daniel Tenbrock, Sebastian Reick, Dejan Bozhinovski, Gerhard Weiss, and Gerasimos Spanakis

   In Advances in Practical Applications of Cyber-Physical Multi-Agent Systems: The PAAMS Collection: 15th International Conference, PAAMS 2017, Porto, Portugal, June 21-23, 2017, Proceedings 15, Nov 2017
7. Reciprocal recommender system for learners in massive open online courses (MOOCs)

   Sankalp Prabhakar, Gerasimos Spanakis, and Osmar Zaiane

   In International Conference on Web-Based Learning, Nov 2017
8. Massive open online courses temporal profiling for dropout prediction

   Tom Rolandus Hagedoorn, and Gerasimos Spanakis

   In 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI), Nov 2017
9. Accumulated gradient normalization

   Joeri R Hermans, Gerasimos Spanakis, and Rico Möckel

   In Asian Conference on Machine Learning, Nov 2017
10. A retrieval-based dialogue system utilizing utterance and context embeddings

    Alexander Bartl, and Gerasimos Spanakis

    In 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA), Nov 2017
11. Towards a topic discovery and tracking system with application to news items

    Daniel Brüggermann, Yannik Hermey, Carsten Orth, Darius Schneider, Stefan Selzer, and Gerasimos Spanakis

    In Future and Emerging Trends in Language Technology. Machine Learning and Big Data: Second International Workshop, FETLT 2016, Seville, Spain, November 30–December 2, 2016, Revised Selected Papers 2, Nov 2017
12. Social emotion mining techniques for Facebook posts reaction prediction

    Florian Krebs, Bruno Lubascher, Tobias Moers, Pieter Schaap, and Gerasimos Spanakis

    In In Proceedings of the 10th International Conference on Agents and Artificial Intelligence (ICAART 2018), Nov 2017

2016

1. Network analysis of ecological momentary assessment data for monitoring and understanding eating behavior

   Gerasimos Spanakis, Gerhard Weiss, Bastiaan Boh, and Anne Roefs

   In Smart Health: International Conference, ICSH 2015, Phoenix, AZ, USA, November 17-18, 2015. Revised Selected Papers, Nov 2016
2. An Ecological Momentary Intervention for weight loss and healthy eating via smartphone and Internet: study protocol for a randomised controlled trial

   Bastiaan Boh, Lotte HJM Lemmens, Anita Jansen, Chantal Nederkoorn, Vincent Kerkhofs, Gerasimos Spanakis, Gerhard Weiss, and Anne Roefs

   Trials, Nov 2016
3. Bagged Boosted Trees for Classification of Ecological Momentary Assessment Data

   Gerasimos Spanakis, Gerhard Weiss, and Anne Roefs

   In ECAI 2016: 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands-Including Prestigious Applications of Artificial Intelligence (PAIS 2016), Nov 2016
4. AMSOM: Adaptive Moving Self-organizing Map for Clustering and Visualization

   Gerasimos Spanakis, and Gerhard Weiss

   In Proceedings of the 8th International Conference on Agents and Artificial Intelligence, Nov 2016
5. Indulgent thinking? Ecological momentary assessment of overweight and healthy-weight participants’ cognitions and emotions

   Bastiaan Boh, Anita Jansen, Ineke Clijsters, Chantal Nederkoorn, Lotte HJM Lemmens, Gerasimos Spanakis, and Anne Roefs

   Behaviour research and therapy, Nov 2016
6. Utilizing longitudinal data to build decision trees for profile building and predicting eating behavior

   Gerasimos Spanakis, Gerhard Weiss, Bastiaan Boh, Vincent Kerkhofs, and Anne Roefs

   Procedia Computer Science, Nov 2016
7. Storyline detection and tracking using Dynamic Latent Dirichlet Allocation

   Daniel Brüggermann, Yannik Hermey, Carsten Orth, Darius Schneider, Stefan Selzer, and Gerasimos Spanakis

   In Proceedings of the 2nd Workshop on Computing News Storylines (CNS 2016), EMNLP 2016, Nov 2016
8. Enhancing classification of ecological momentary assessment data using bagging and boosting

   Gerasimos Spanakis, Gerhard Weiss, and Anne Roefs

   In 2016 IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI), Nov 2016

2015

1. Flexible Deep Neural Network structure with application to Natural Language Processing

   Christopher Wittlinger, Gerasimos Spanakis, and Gerhard Weiss

   In BNAIC 2015 THE 27TH BENELUX CONFERENCE ON ARTIFICIAL INTELLIGENCE, Nov 2015

2012

1. Exploiting Wikipedia knowledge for conceptual hierarchical clustering of documents

   Gerasimos Spanakis, Georgios Siolas, and Andreas Stafylopatis

   The Computer Journal, Nov 2012
2. DoSO: a document self-organizer

   Gerasimos Spanakis, Georgios Siolas, and Andreas Stafylopatis

   Journal of Intelligent Information Systems, Nov 2012
3. Evaluation of lightning performance of transmission lines protected by metal oxide surge arresters using artificial intelligence techniques

   CA Christodoulou, G Perantzakis, GE Spanakis, and P Karampelas

   Energy Systems, Nov 2012

2010

1. Conceptual Hierarchical Clustering of Documents using Wikipedia knowledge

   Gerasimos Spanakis, Georgios Siolas, and Andreas Stafylopatis

   In Computer and Information Sciences: Proceedings of the 25th International Symposium on Computer and Information Sciences, Nov 2010
2. Locating High Voltage Transmission Lines Using ELECTRE I Method

   CA Christodoulou, GE Spanakis, V Vita, DI Karvouniari, and L Ekonomou

   International Journal, Nov 2010

2009

1. A hybrid web-based measure for computing semantic relatedness between words

   Gerasimos Spanakis, Georgios Siolas, and Andreas Stafylopatis

   In 2009 21st IEEE International Conference on Tools with Artificial Intelligence, Nov 2009