12 citations · 26 across the 7 of their papers we have counts for
9 papers
Partially Oblivious Neural Network Inference
Panagiotis Rizomiliotis, Christos Diou, Aikaterini Triakosia +2
Oblivious inference is the task of outsourcing a ML model, like neural-networks, without disclosing critical and sensitive information, like the model's parameters. One of the most…
TraClets: Harnessing the power of computer vision for trajectory classification
Ioannis Kontopoulos, Antonios Makris, Konstantinos Tserpes +1
Due to the advent of new mobile devices and tracking sensors in recent years, huge amounts of data are being produced every day. Therefore, novel methodologies need to emerge that…
AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving
Valerio De Caro, Saira Bano, Achilles Machumilane +11
This paper presents a proof-of-concept implementation of the AI-as-a-Service toolkit developed within the H2020 TEACHING project and designed to implement an autonomous driving per…
TEACHING -- Trustworthy autonomous cyber-physical applications through human-centred intelligence
Davide Bacciu, Siranush Akarmazyan, Eric Armengaud +32
This paper discusses the perspective of the H2020 TEACHING project on the next generation of autonomous applications running in a distributed and highly heterogeneous environment c…
Context agnostic trajectory prediction based on -architecture
Evangelos Psomakelis, Konstantinos Tserpes, Dimitris Zissisc +2
Predicting the next position of movable objects has been a problem for at least the last three decades, referred to as trajectory prediction. In our days, the vast amounts of data…
BUDAMAF: Data Management in Cloud Federations
Evangelos Psomakelis, Konstantinos Tserpes, Dimosthenis Anagnostopoulos +1
Data management has always been a multi-domain problem even in the simplest cases. It involves, quality of service, security, resource management, cost management, incident identif…