by Natalia Ostapuk, Ljiljana Dolamic, Alain Mermoud, Philippe Cudré-Mauroux | May 31, 2024 | Publications, Scientific Articles
Abstract: Extreme multi-label (XML) classification involves assigning multiple labels to an instance from an extremely largeset of possible labels. Despite its significance, zero-shot learning within the context of XML classification remains relatively understudied....
by Ljiljana Dolamic, Julian Jang-Jaccard, Alain Mermoud, Vincent Lenders | Apr 23, 2024 | Publications, Scientific Articles
Abstract: Identifying emerging technologies and forecasting their trends is pivotal for stakeholders and decision-makers across academia, industry, and government agencies. The current strategies employed to track technology trends often rely on proprietary closed...
by Alexander Sternfeld, Andrei Kucharavy, Dimitri Percia David, Julian Jang-Jaccard, Alain Mermoud | Apr 23, 2024 | Publications, Scientific Articles
Abstract: The increase in power and availability of Large Language Models (LLMs) since late 2022 led to increased concerns with their usage to automate academic paper mills. In turn, this poses a threat to bibliometrics-based technology monitoring and forecasting in...
by Daniel Celeny, Loïc Maréchal | Feb 7, 2024 | Publications, Scientific Articles
Abstract: We extract firms’ cyber risk with a machine learning algorithm measuring the proximity between their disclosures and a dedicated cyber corpus. Our approach outperforms dictionary methods, uses full disclosure and not devoted-only sections, and...
by Loïc Maréchal, Alain Mermoud, Dimitri Percia David, Mathias Humbert | Feb 7, 2024 | Publications, Scientific Articles
Abstract: Early-stage firms play a significant role in driving innovation and creating new products and services, especially for cybersecurity. Therefore, evaluating their performance is crucial for investors and policymakers. This work presents a financial evaluation...
