2 citations · 3 across the 9 of their papers we have counts for
11 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…
Prediction-driven resource provisioning for serverless container runtimes
Dimitrios Tomaras, Michail Tsenos, Vana Kalogeraki
In recent years Serverless Computing has emerged as a compelling cloud based model for the development of a wide range of data-intensive applications. However, rapid container prov…
Orchestrating the Execution of Serverless Functions in Hybrid Clouds
Aristotelis Peri, Michail Tsenos, Vana Kalogeraki
In recent years, serverless computing, especially Function as a Service (FaaS), is rapidly growing in popularity as a cloud programming model. The serverless computing model provid…
Energy Efficient Scheduling for Serverless Systems
Michail Tsenos, Aristotelis Peri, Vana Kalogeraki
Serverless computing, also referred to as Function-as-a-Service (FaaS), is a cloud computing model that has attracted significant attention and has been widely adopted in recent ye…
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…
A Framework for Feasible Counterfactual Exploration incorporating Causality, Sparsity and Density
Kleopatra Markou, Dimitrios Tomaras, Vana Kalogeraki +1
The imminent need to interpret the output of a Machine Learning model with counterfactual (CF) explanations - via small perturbations to the input - has been notable in the researc…
Practical Privacy Preservation in a Mobile Cloud Environment
Dimitrios Tomaras, Michail Tsenos, Vana Kalogeraki
The proliferation of smartphone devices has led to the emergence of powerful user services from enabling interactions with friends and business associates to mapping, finding nearb…
Attendance Maximization for Successful Social Event Planning
Nikos Bikakis, Vana Kalogeraki, Dimitrios Gunupulos
Social event planning has received a great deal of attention in recent years where various entities, such as event planners and marketing companies, organizations, venues, or users…
Low-Rank Methods in Event Detection and Subsampled Point-to-Subspace Proximity Tests
Jakub Marecek, Stathis Maroulis, Vana Kalogeraki +1
Monitoring of streamed data to detect abnormal behaviour (variously known as event detection, anomaly detection, change detection, or outlier detection) underlies many applications…
Social Event Scheduling
Nikos Bikakis, Vana Kalogeraki, Dimitrios Gunopulos
A major challenge for social event organizers (e.g., event planning and marketing companies, venues) is attracting the maximum number of participants, since it has great impact on…