21 citations · 68 across the 13 of their papers we have counts for
5 papers · 1 filter
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…
HTTE: A Hybrid Technique For Travel Time Estimation In Sparse Data Environments
Nikolaos Zygouras, Nikolaos Panagiotou, Yang Li +2
Travel time estimation is a critical task, useful to many urban applications at the individual citizen and the stakeholder level. This paper presents a novel hybrid algorithm for t…
A Novel Framework for Handling Sparse Data in Traffic Forecast
Nikolaos Zygouras, Dimitrios Gunopulos
The ever increasing amount of GPS-equipped vehicles provides in real-time valuable traffic information for the roads traversed by the moving vehicles. In this way, a set of sparse…
Particle Cloud Generation with Message Passing Generative Adversarial Networks
Raghav Kansal, Javier Duarte, Hao Su +6
In high energy physics (HEP), jets are collections of correlated particles produced ubiquitously in particle collisions such as those at the CERN Large Hadron Collider (LHC). Machi…
Infant Mortality Prediction using Birth Certificate Data
Antonia Saravanou, Clemens Noelke, Nicholas Huntington +2
The Infant Mortality Rate (IMR) is the number of infants per 1000 that do not survive until their first birthday. It is an important metric providing information about infant healt…