Sfoglia per Relatore
Building task-specific sub-models from Large Language Models using pruning
2023/2024 Puccioni, Laura
Un centro commerciale naturale 2.0 : un'esperienza su Como
2012/2013 ONOFRIO, LORENZO
Classification of evolving images using streaming machine learning and contrastive learning
2023/2024 IOVINE, 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
CPB: a novel continuous piggyback architecture for evolving streaming time series classification
2023/2024 PAKI, REZA
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 analytics on edge-IoT behaviour towards knowledge retrieval and decision making
2024/2025 RONCHETTI, MARCO
Data linking as a side effect of game playing
2012/2013 DI RIENZO, ANTONELLA
Data-driven analysis of ESA/NASA/ESO survey missions: harnessing parallel distributed computing for advanced analytical insights into large astronomical datasets
2023/2024 PERSICI, ANDREA
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
Efficient streaming image classification via deep embeddings and random projection
2023/2024 Garlanda, Elisa
Enhancing fraud detection through interpretable machine learning
2019/2020 Piccinini, Federico
Enhancing predictive maintenance with LSTM autoencoders for anomaly detection
2022/2023 TONAZZI, SARA
Legenda icone accesso al fulltext
- File accessibili da tutti
- File accessibili dagli utenti autorizzati
- File accessibili da tutti o solo dagli utenti autorizzati, a partire dalla la data indicata nella scheda
- File non accessibili