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...
by Santiago Anton Moreno, Dimitri Percia David, Alain Mermoud, Thomas Maillart, Anita Mezzetti | Sep 20, 2023 | Publications, Scientific Articles
Abstract Job offers reveal employer preferences about capabilities required for future cyberdefense. We model such job openings as edges of a bipartite network of organizations and technologies. We propose and train a parsimonious prediction algorithm with extant job...
by Michael Tsesmelis, Ljiljana Dolamic, Marcus Matthias Keupp, Dimitri Percia David, Alain Mermoud | Sep 20, 2023 | Publications, Scientific Articles
Abstract The need for dependable and real-time insights on technological paradigm shifts requires objective information. We develop a lean recommender system which predicts emerging technology by a sequential blend of machine learning and network analytics. We...
