3 citations · 6 across the 4 of their papers we have counts for
5 papers
FCx: An algorithm for finding Feasible Counterfactual Explanations
Kleopatra Markou, Vana Kalogeraki, Dimitrios Gunopulos
Counterfactual (CF) explanations identify changes that alter an input's classification. While existing methods produce realistic and low-cost CFs, they often fail to ensure feasibi…
Trustworthy Scheduling for Big Data Applications
Dimitrios Tomaras, Vana Kalogeraki, Dimitrios Gunopulos
Recent advances in modern containerized execution environments have resulted in substantial benefits in terms of elasticity and more efficient utilization of computing resources. A…
TIMBER: On supporting data pipelines in Mobile Cloud Environments
Dimitrios Tomaras, Michail Tsenos, Vana Kalogeraki +1
The radical advances in mobile computing, the IoT technological evolution along with cyberphysical components (e.g., sensors, actuators, control centers) have led to the developmen…
GLANCE: Global Actions in a Nutshell for Counterfactual Explainability
Loukas Kavouras, Eleni Psaroudaki, Konstantinos Tsopelas +9
The widespread deployment of machine learning systems in critical real-world decision-making applications has highlighted the urgent need for counterfactual explainability methods…
LHC Hadronic Jet Generation Using Convolutional Variational Autoencoders with Normalizing Flows
Breno Orzari, Nadezda Chernyavskaya, Raphael Cobe +7
In high energy physics, one of the most important processes for collider data analysis is the comparison of collected and simulated data. Nowadays the state-of-the-art for data gen…