Concept
Evidence-based practice
Related publications (518)
OASIS: An integrated optimisation framework for activity scheduling
Activity-based models offer the potential for a far deeper understanding of daily mobility behaviour than trip-based models. Based on the fundamental assumption that travel demand is derived from the need to do activities, they are flexible tools that aim ...
EPFL2024Artificial intelligence of things for synergizing smarter eco-city brain, metabolism, and platform: Pioneering data-driven environmental governance
Jeffrey Huang, Simon Elias Bibri
Emerging smarter eco-cities, inherently intertwined with environmental governance, function as experimental sites for testing novel technological solutions and implementing environmental reforms aimed at addressing complex challenges. However, despite sign ...
Elsevier2024To Infinity, and Beyond (Coverage)
The pursuit of software security and reliability hinges on the identification and elimination of software vulnerabilities, a challenge compounded by the vast and evolving complexity of modern systems. Fuzzing has emerged as an indispensable technique for b ...
EPFL2024When do Minimax-fair Learning and Empirical Risk Minimization Coincide?
Minimax-fair machine learning minimizes the error for the worst-off group. However, empirical evidence suggests that when sophisticated models are trained with standard empirical risk minimization (ERM), they often have the same performance on the worst-of ...
2023Thermal Conditions in Indoor Environments: Exploring the Reasoning behind Standard-Based Recommendations
Professionals in the building design and operation fields typically look at standards and guidelines as a reliable source of information and guidance with regard to procedural, contractual, and legal scope and requirements that are relevant to accountabili ...
2023Learning Transformations To Reduce the Geometric Shift in Object Detection
Mathieu Salzmann, Martin Pierre Engilberge, Vidit Vidit
The performance of modern object detectors drops when the test distribution differs from the training one. Most of the methods that address this focus on object appearance changes caused by, e.g., different illumination conditions, or gaps between syntheti ...
Los Alamitos2023Predicting party switching through machine learning and open data
Silvestro Micera, Emanuele Rossi
Parliament dynamics might seem erratic at times. Predicting future voting patterns could support policy design based on the simulation of voting scenarios. The availability of open data on legislative activities and machine learning tools might enable such ...
CELL PRESS2023A Research-Practice Partnership to Introduce Computer Science in Secondary School: Lessons from a Pilot Program
Francesco Mondada, Helena Kovacs, Jean-Philippe Pellet, Barbara Bruno, Laila Abdelsalam El-Hamamsy
Context: Introducing Computer Science (CS) into formal education can be challenging, notably when considering the numerous stakeholders involved which include the students, teachers, schools, and policy makers. We believe these perspectives should be con ...
2023