10 citations · 27 across the 6 of their papers we have counts for
6 papers
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…
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…
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…
Elastic Processing of Analytical Query Workloads on IaaS Clouds
Herald Kllapi, Panos Sakkos, Alex Delis +2
Many modern applications require the evaluation of analytical queries on large amounts of data. Such queries entail joins and heavy aggregations that often include user-defined fun…
On The Spatiotemporal Burstiness of Terms
Theodoros Lappas, Marcos R. Vieira, Dimitrios Gunopulos +1
Thousands of documents are made available to the users via the web on a daily basis. One of the most extensively studied problems in the context of such document streams is burst i…