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- research-articleJune 2024
Automated Transparency: A Legal and Empirical Analysis of the Digital Services Act Transparency Database
FAccT '24: Proceedings of the 2024 ACM Conference on Fairness, Accountability, and TransparencyJune 2024, Pages 1121–1132https://doi.org/10.1145/3630106.3658960The Digital Services Act (DSA) is a much awaited platforms liability reform in the European Union that was adopted on 1 November 2022 with the ambition to set a global example in terms of accountability and transparency. Among other obligations, the DSA ...
- research-articleMay 2024
Navigating WebAI: Training Agents to Complete Web Tasks with Large Language Models and Reinforcement Learning
SAC '24: Proceedings of the 39th ACM/SIGAPP Symposium on Applied ComputingApril 2024, Pages 866–874https://doi.org/10.1145/3605098.3635903Recent advancements in language models have demonstrated remarkable improvements in various natural language processing (NLP) tasks such as web navigation. Supervised learning (SL) approaches have achieved impressive performance while utilizing ...
- ArticleNovember 2023
Multi-Modal Embeddings for Isolating Cross-Platform Coordinated Information Campaigns on Social Media
- Fabio Barbero,
- Sander op den Camp,
- Kristian van Kuijk,
- Carlos Soto García-Delgado,
- Gerasimos Spanakis,
- Adriana Iamnitchi
AbstractCoordinated multi-platform information operations are implemented in a variety of contexts on social media, including state-run disinformation campaigns, marketing strategies, and social activism. Characterized by the promotion of messages via ...
- research-articleSeptember 2023
"What's wrong with this product?": Detection of product safety issues based on information consumers share online
ICAIL '23: Proceedings of the Nineteenth International Conference on Artificial Intelligence and LawJune 2023, Pages 397–401https://doi.org/10.1145/3594536.3595145With the widespread use of e-commerce, proper oversight and regulatory compliance become increasingly difficult, if not impossible, resulting in a heightened risk of harm to consumers from unsafe products. In this paper, we explore how online consumer ...
- ArticleApril 2022
Using Explainable Boosting Machine to Compare Idiographic and Nomothetic Approaches for Ecological Momentary Assessment Data
Advances in Intelligent Data Analysis XXApr 2022, Pages 199–211https://doi.org/10.1007/978-3-031-01333-1_16AbstractPrevious research on EMA data of mental disorders was mainly focused on multivariate regression-based approaches modeling each individual separately. This paper goes a step further towards exploring the use of non-linear interpretable machine ...
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- ArticleOctober 2020
Fake News Detection on Twitter Using Propagation Structures
Disinformation in Open Online MediaOct 2020, Pages 138–158https://doi.org/10.1007/978-3-030-61841-4_10AbstractThe growth of social media has revolutionized the way people access information. Although platforms like Facebook and Twitter allow for a quicker, wider and less restricted access to information, they also consist of a breeding ground for the ...
- ArticleFebruary 2019
MaaSim: A Liveability Simulation for Improving the Quality of Life in Cities
AbstractUrbanism is no longer planned on paper thanks to powerful models and 3D simulation platforms. However, current work is not open to the public and lacks an optimisation agent that could help in decision making. This paper describes the creation of ...
- articleAugust 2017
Machine learning techniques in eating behavior e-coaching
Personal and Ubiquitous Computing (PUC), Volume 21, Issue 4Pages 645–659https://doi.org/10.1007/s00779-017-1022-4The rise of internet and mobile technologies (such as smartphones) provide a harness of data and an opportunity to learn about peoples' states, behavior, and context in regard to several application areas such as health. Eating behavior is an area that ...
- research-articleApril 2017
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,
- Mark Birkin
WWW '17 Companion: Proceedings of the 26th International Conference on World Wide Web CompanionApril 2017, Pages 1665–1667https://doi.org/10.1145/3041021.3051691The ongoing growth in research data publication supports global intra-disciplinary and inter-disciplinary research collaboration but the current generation of archive-centric research data repositories do not address some of the key practical obstacles ...
- ArticleAugust 2016
Bagged boosted trees for classification of ecological momentary assessment data
ECAI'16: Proceedings of the Twenty-second European Conference on Artificial IntelligenceAugust 2016, Pages 1612–1613https://doi.org/10.3233/978-1-61499-672-9-1612Ecological Momentary Assessment (EMA) data is organized in multiple levels (per-subject, per-day, etc.) and this particular structure should be taken into account in machine learning algorithms used in EMA like decision trees and its variants. We ...
- ArticleFebruary 2016
AMSOM: Adaptive Moving Self-organizing Map for Clustering and Visualization
ICAART 2016: Proceedings of the 8th International Conference on Agents and Artificial IntelligenceFebruary 2016, Pages 129–140https://doi.org/10.5220/0005704801290140Self-Organizing Map (SOM) is a neural network model which is used to obtain a topology-preserving mapping from the (usually high dimensional) input/feature space to an output/map space of fewer dimensions (usually two or three in order to facilitate ...
- ArticleNovember 2015
Network Analysis of Ecological Momentary Assessment Data for Monitoring andźUnderstanding Eating Behavior
ICSH 2015: Revised Selected Papers of the International Conference on Smart Health - Volume 9545November 2015, Pages 43–54https://doi.org/10.1007/978-3-319-29175-8_5Ecological Momentary Assessment EMA techniques have been blooming during the last years due to the emergence of smart devices like PDAs and smartphones that allow the collection of repeated assessments of several measures predictors that affect a target ...
- research-articleMarch 2012
Exploiting Wikipedia Knowledge for Conceptual Hierarchical Clustering of Documents
The Computer Journal (CJRL), Volume 55, Issue 3March 2012, Pages 299–312https://doi.org/10.1093/comjnl/bxr024In this paper, we propose a novel method for conceptual hierarchical clustering of documents using knowledge extracted from Wikipedia. The proposed method overcomes the classic bag-of-words models disadvantages through the exploitation of Wikipedia ...
- ArticleNovember 2009
A Hybrid Web-Based Measure for Computing Semantic Relatedness Between Words
ICTAI '09: Proceedings of the 2009 21st IEEE International Conference on Tools with Artificial IntelligenceNovember 2009, Pages 441–448https://doi.org/10.1109/ICTAI.2009.64In this paper, we build a hybrid Web-based metric for computing semantic relatedness between words. The method exploits page counts, titles, snippets and URLs returned by a Web search engine. Our technique uses traditional information retrieval methods ...