Sfoglia per Relatore
Un centro commerciale naturale 2.0 : un'esperienza su Como
2012/2013 ONOFRIO, LORENZO
A comparative study of streaming machine learning algorithms for binary classification under concept drift and class imbalance
2020/2021 VOLTAN, ENRICO
A comparative study on parallelization of streaming top-k algorithms in Kafka
2019/2020 FERRERA, LUCA
Una comparazione tra tecniche tradizionali e innovative di data visualization
2015/2016 DONINI, ALESSANDRO
Comparing traditional and Streaming Machine Learning methods for soccer pass detection
2022/2023 MENCONI, STEFANIA
CSE LiVeTweet analyser : a system for generating links between Venues and Tweets during city scale events
2013/2014 RE CALEGARI, GLORIA
Data analytics of Milano Design Week 2016 collected using the official mobile app
2016/2017 LIBUSHA, BLERTAN
Data linking as a side effect of game playing
2012/2013 DI RIENZO, ANTONELLA
Developing graphical user interface for LDA architect
2011/2012 LESIC, DRAGAN
Dialogue self-play and crowdsourcing to collect annotated data for a chatbot
2019/2020 Molteni, Luca
DOZER : a scalable and fault-tolerant streaming engine for Seraph queries evaluation
2020/2021 Urbano, Antonio
Dynamic query optimization in spark
2020/2021 PIPITA, ANTONIO
Enhancing fraud detection through interpretable machine learning
2019/2020 Piccinini, Federico
Enhancing predictive maintenance with LSTM autoencoders for anomaly detection
2022/2023 TONAZZI, SARA
The evolution of the consumers grocery shopping experience through the application of innovative technologies
2020/2021 QUADRONI, FRANCESCA
Extending and Optimizing streamDM-C++ Library for Efficient Streaming ML Algorithms on Microcontrollers
2022/2023 ALLAM, MOHAMED
GIS to virtual RDF graphs ( G2R )
2011/2012 RAMACHANDRAN, SIVAKUMAR
Heaven : supporting systematic comparative research of RDF stream processing engines
2013/2014 TOMMASINI, RICCARDO
Implementing location based games with a purpose. The Urbanopoly Web case
2013/2014 BONILLA LEON, LUIS ALBERTO
Improving generalization in reinforcement learning. An application to Candy Crush Friends Saga
2019/2020 LORENZO, FRANCESCO
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