| IBRIDIA: A hybrid solution for processing big logistics data M AlShaer, Y Taher, R Haque, MS Hacid, M Dbouk Future Generation Computer Systems 97, 792-804, 2019 | 16 | 2019 |
| Detecting anomalies from streaming time series using matrix profile and shapelets learning M Alshaer, S Garcia-Rodriguez, C Gouy-Pailler 2020 IEEE 32nd international conference on tools with artificial …, 2020 | 7 | 2020 |
| An efficient framework for processing and analyzing unstructured text to discover delivery delay and optimization of route planning in realtime M Alshaer Université de Lyon; École Doctorale des Sciences et de Technologie (Beyrouth), 2019 | 4 | 2019 |
| A context-aware analytics for processing tweets and analysing sentiment in realtime (short paper) Y Taher, R Haque, M AlShaer, WJ van den Heuvel, MS Hacid, M Dbouk On the Move to Meaningful Internet Systems: OTM 2016 Conferences …, 2016 | 3 | 2016 |
| Prolod: An efficient framework for processing logistics data M AlShaer, Y Taher, R Haque, MS Hacid, M Dbouk On the Move to Meaningful Internet Systems. OTM 2017 Conferences …, 2017 | 2 | 2017 |
| STREAMER: A Powerful Framework for Continuous Learning in Data Streams S Garcia-Rodriguez, M Alshaer, C Gouy-Pailler Proceedings of the 29th ACM International Conference on Information …, 2020 | 1 | 2020 |
| A Service-Based System for Sentiment Analysis and Visualization of Twitter Data in Realtime Y Taher, R Haque, M AlShaer, WJ Heuvel, K Zeitouni, R Araujo, MS Hacid, ... Service-Oriented Computing–ICSOC 2016 Workshops: ASOCA, ISyCC, BSCI, and …, 2017 | | 2017 |
