Massimo Piccardi

University of Sydney

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Articles (20)

Collaborators (8)

Sattar Seifollahi

RMIT University

Daniel Franklin

University of Sydney

Preethichandra Daluwathu Mulla Gamage

Associate Professor

Central Queensland University

Wenjing Jia

University of Sydney

Justin Lipman

University of Sydney

Nazanin Esmaili

University of Pittsburgh

UNITED STATES

Lasitha Piyathilaka

Central Queensland University

Sarath Kodagoda

University of Sydney

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Massimo Piccardi

Research Interests

Explore related searches

Contact this professor

Articles (20)

Collaborators (8)

Sattar Seifollahi

Daniel Franklin

Preethichandra Daluwathu Mulla Gamage

Wenjing Jia

Justin Lipman

Nazanin Esmaili

Lasitha Piyathilaka

Sarath Kodagoda

Make your next move.

Massimo Piccardi

Research Interests

Explore related searches

Contact this professor

Articles (20)

Empowering large language models for automated clinical assessment with generation-augmented retrieval and hierarchical chain-of-thought

Fine-tuning text-to-SQL models with reinforcement-learning training objectives

APG: Automatic Prompt Generation for Improved Document Summarization

Learning Spatial Affordances From 3D Point Clouds for Mapping Unseen Human Actions in Indoor Environments

PrivySeC: A secure and privacy-compliant distributed framework for personal data sharing in IoT ecosystems

Secure Multi-Party Computation for Machine Learning: A Survey

Securing Personally Identifiable Information: A Survey of SOTA Techniques, and a Way Forward

Detecting compromised IoT devices: Existing techniques, challenges, and a way forward

Topic-Based Unsupervised and Supervised Dictionary Induction

Regressing Word and Sentence Embeddings for Low-Resource Neural Machine Translation

T3L: Translate-and-Test Transfer Learning for Cross-Lingual Text Classification

SMGKM: An Efficient Incremental Algorithm for Clustering Document Collections

Taxonomy-Based Feature Extraction for Document Classification, Clustering and Semantic Analysis

Neural Topic Model Training with the REBAR Gradient Estimator

BiLSTM-SSVM: Training the BiLSTM with a Structured Hinge Loss for Named-Entity Recognition

NeuSub: A Neural Submodular Approach for Citation Recommendation

Machine learning applications to neuroimaging for glioma detection and classification: An artificial intelligence augmented systematic review.

An Embedding-Based Topic Model for Document Classification

Topic-Document Inference with the Gumbel-Softmax Distribution

Multichannel mixture models for time-series analysis and classification of engagement with multiple health services: An application to psychology and physiotherapy utilization patterns after traffic accidents

Collaborators (8)

Sattar Seifollahi

Daniel Franklin

Preethichandra Daluwathu Mulla Gamage

Wenjing Jia

Justin Lipman

Nazanin Esmaili

Lasitha Piyathilaka

Sarath Kodagoda

Make your next move.