Big-DAMA @NeurIPS 2018
The Big-DAMA team would be present @NeurIPS 2018 in Montreal, to present the paper “Remember the Good, Forget the Bad, do it Fast: Continuous Learning over Streaming Data”, at the workshop on Continual Learning.
The Big-DAMA team would be present @NeurIPS 2018 in Montreal, to present the paper “Remember the Good, Forget the Bad, do it Fast: Continuous Learning over Streaming Data”, at the workshop on Continual Learning.
The Big-DAMA project has already published more than 50 scientific papers on the topic of Big Data Analytics and Machine Learning for Networking, and more are coming!
Andrea got the Best Student Paper Award at ITC 2018!
Gonzalo got the second place at the SIGCOMM SRC competition (undergraduate) for his work on Deep Learning for TMA.
Big-DAMA is proudly gold sponsor for TMA Conference 2018
We are organizing the 2nd edition of the Big-DAMA workshop on Big Data Analytics and Machine Learning for Data Communication Networks @SIGCOMM 2018
Big-DAMA is proudly bronze sponsor for SIGCOMM 2017
We are organizing a new workshop on Big Data Analytics and Machine Learning for Data Communication Networks @SIGCOMM 2017
“Traffic Analysis with Off-the-Shelf Hardware: Challenges and Lessons Learned”
The second plenary meeting will take place @AIT Vienna on the 3th and 4th November 2016.
“Machine Learning based Prediction of Internet Path Dynamics”
“(Semi)-Supervised Machine Learning Approaches for Network Security in High-Dimensional Network Data”
“When Smartphones become the Enemy: Unveiling Mobile Apps Anomalies through Clustering Techniques”
“CLUE: Clustering for Mining Web URLs”
We are presenting 3 papers at the IEEE TRAC workshop.
Big-DAMA was presented to the Viennese research and local authorities at the yearly WWTF science gala dinner.
“Grasping Popular Applications in Cellular Networks with Big Data Analytics Platforms”
“DBStream: a Holistic Approach to Large-scale Network Traffic Monitoring and Analysis”
We are presenting the Big-DAMA project at the ACM SIGCOMM LANCOMM workshop 2016 in August!
“Machine-Learning Based Approaches for Anomaly Detection and Classification in Cellular Networks”