21 citations · 68 across the 13 of their papers we have counts for
14 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…
Towards Mobility Data Science (Vision Paper)
Mohamed Mokbel, Mahmoud Sakr, Li Xiong +45
Mobility data captures the locations of moving objects such as humans, animals, and cars. With the availability of GPS-equipped mobile devices and other inexpensive location-tracki…
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-based Fast Jet Simulation at the LHC with Variational Autoencoders
Mary Touranakou, Nadezda Chernyavskaya, Javier Duarte +6
We study how to use Deep Variational Autoencoders for a fast simulation of jets of particles at the LHC. We represent jets as a list of constituents, characterized by their momenta…
Sparse Data Generation for Particle-Based Simulation of Hadronic Jets in the LHC
Breno Orzari, Thiago Tomei, Maurizio Pierini +5
We develop a generative neural network for the generation of sparse data in particle physics using a permutation-invariant and physics-informed loss function. The input dataset use…
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…
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…
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…
Anima: Adaptive Personalized Software Keyboard
Panos Sakkos, Dimitrios Kotsakos, Ioannis Katakis +1
We present a Software Keyboard for smart touchscreen devices that learns its owner's unique dictionary in order to produce personalized typing predictions. The learning process is…
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…