4th Workshop on Real-time & Stream Analytics in Big Data
EURA NOVA Research centre is proud and excited to organize the fourth workshop on Real-time and Stream analytics in Big Data, collocated with the 2019 IEEE conference on Big Data.
Category: Data science
STRASS: A Light and Effective Method for Extractive Summarization
This paper introduces STRASS: Summarization by TRAnsformation Selection and Scoring. It is an extractive text summarization method which leverages the semantic information in existing sentence embedding spaces. Our method creates
Coherence Regularization for Neural Topic Models
Neural topic models aim to predict the words of a document given the document itself. In such models, perplexity is used as a training criterion, whereas the final quality measure
BOOT CAMP 2019
EURA NOVA is launching an intense 3-month I.T. boot camp starting September 2019.
7 Publications in 2018
At EURA NOVA, we believe investing in research allows us to continuously become more proficient, to maintain our know-how at the cutting edge of IT, and to share its benefits
IEEE Big Data 2018: a summary
At the beginning of the month, our R&D director Sabri Skirhi and our R&D engineer Syrine Ferjaoui travelled to Seattle to attend IEEE Big Data. The conference is one of
Improving Topic Quality by Promoting Named Entities in Topic Modeling
In July, our R&D engineer Katherine Krasnoschok was in Melbourne, Australia to attend the ACL conference. She presented her poster on topic modelling. Her paper, co-written with Salim Jouili, indicates
Data Mining and ML Techniques Supporting TBS Concept Deployment
Our paper “Data Mining and Machine Learning Techniques supporting Time-based Separation Concept Deployment”, co-written with Eurocontrol and WaPT, has been accepted by the 37th Digital Avionics Systems Conference (DASC) in
Third Workshop on Real-time & Stream Analytics in Big Data
EURA NOVA Research center is proud and excited to organize the third workshop on Real-time and Stream analytics in Big Data, collocated with the 2018 IEEE conference on Big Data.
Graph BI & Analytics: Current State and Future Challenges
Our paper “Graph BI & Analytics: Current State and Future Challenges” has been accepted for publication at the 20th International Conference on Big Data Analytics and Knowledge Discovery, taking place