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...
by Anita Mezzetti, Loïc Maréchal, Dimitri Percia David, William Blonay, Sébastien Gillard, Michael Tsesmelis, Thomas Maillart, Alain Mermoud | Sep 20, 2023 | Publications, Scientific Articles
Abstract We introduce a novel recursive algorithm that analyzes and ranks the relative influence that companies and technologies have in a technology landscape. The algorithm also incorporates exogenous variables that reflect investor preferences. The results provide...
by Dimitri Percia David, William Blonay, Sébastien Gillard, Thomas Maillart, Alain Mermoud, Loïc Maréchal, Michael Tsesmelis | Sep 20, 2023 | Publications, Scientific Articles
Abstract We propose a reproducible, automated, scalable, and free method for automated bibliometric analysis that requires little computing power. We explain how firms can use this method with open source data from public repositories to generate unbiased insights...
by Maxime Würsch, Andrei Kucharavy, Dimitri Percia David, Alain Mermoud | Aug 24, 2023 | Podcasts, Publications, Scientific Articles
Abstract The cybersecurity landscape evolves rapidly and poses threats to organizations. To enhance resilience, one needs to track the latest developments and trends in the domain. For this purpose, we use large language models (LLMs) to extract relevant knowledge...
