Exploring the spectroscopic diversity of type Ia supernovae with Deep Learning and Unsupervised Clustering. - Emille E. O. Ishida; Michele Sasdelli; Ricardo Vilalta; Michel Aguena; Vinicius C. Busti; Hugo Camacho; Arlindo M. M. Trindade; Fabian Gieseke; Rafael S. de Souza; Yabebal T. Fantaye; Paolo A. Mazzali (Astroinformatics, 2016)

Algorithmic clothing: hybrid recommendation, from street-style-to-shop. - Yu Qian; P. Giaccone; Michele Sasdelli; Eduard Vasquez; Biswa Sengupta (CoRR, 2017)

Large-scale image analysis using docker sandboxing. - Biswa Sengupta; Eduard Vazquez; Michele Sasdelli; Yu Qian; Martin Peniak; L. Netherton; G. Delfino (CoRR, 2017)

Instance Retrieval at Fine-Grained Level Using Multi-attribute Recognition. - Roshanak Zakizadeh; Yu Qian; Michele Sasdelli; Eduard Vazquez (SITIS, 2018)

FineTag: Multi-label Retrieval of Attributes at Fine-grained Level in Images. - Roshanak Zakizadeh; Michele Sasdelli; Yu Qian; Eduard Vazquez (CoRR, 2018)

Hide and Seek tracker: Real-time recovery from target loss. - Alessandro Bay; Panagiotis Sidiropoulos; Eduard Vazquez; Michele Sasdelli (CoRR, 2018)

Improving the Annotation of DeepFashion Images for Fine-grained Attribute Recognition. - Roshanak Zakizadeh; Michele Sasdelli; Yu Qian; Eduard Vazquez (CoRR, 2018)

Generalised Zero-Shot Learning with Domain Classification in a Joint Semantic and Visual Space. - Rafael Felix; Ben Harwood; Michele Sasdelli; Gustavo Carneiro 001 (DICTA, 2019)

Real-time Tracker with Fast Recovery from Target Loss. - Alessandro Bay; Panagiotis Sidiropoulos; Eduard Vazquez; Michele Sasdelli (ICASSP, 2019)

Multi-modal Ensemble Classification for Generalized Zero Shot Learning. - Rafael Felix; Michele Sasdelli; Ian D. Reid 001; Gustavo Carneiro 001 (CoRR, 2019)

Generalised Zero-Shot Learning with a Classifier Ensemble over Multi-Modal Embedding Spaces. - Rafael Felix; Ben Harwood; Michele Sasdelli; Gustavo Carneiro 001 (CoRR, 2019)

Augmentation Network for Generalised Zero-Shot Learning. - Rafael Felix; Michele Sasdelli; Ian D. Reid 001; Gustavo Carneiro 001 (ACCV (4), 2020)

Generalised Zero-shot Learning with Multi-modal Embedding Spaces. - Rafael Felix; Michele Sasdelli; Ben Harwood; Gustavo Carneiro 001 (DICTA, 2020)

A Chaos Theory Approach to Understand Neural Network Optimization. - Michele Sasdelli; Thalaiyasingam Ajanthan; Tat-Jun Chin; Gustavo Carneiro 001 (DICTA, 2021)

Quantum Annealing Formulation for Binary Neural Networks. - Michele Sasdelli; Tat-Jun Chin (DICTA, 2021)

Adversarial Attacks against a Satellite-borne Multispectral Cloud Detector. - Andrew Du; Yee Wei Law; Michele Sasdelli; Bo Chen 009; Ken Clarke; Michael S. Brown; Tat-Jun Chin (CoRR, 2021)

LOW: Training deep neural networks by learning optimal sample weights. - Carlos Santiago; Catarina Barata; Michele Sasdelli; Gustavo Carneiro 001; Jacinto C. Nascimento (Pattern Recognit., 2021)

A Hybrid Quantum-Classical Algorithm for Robust Fitting. - Anh-Dzung Doan; Michele Sasdelli; David Suter; Tat-Jun Chin (CVPR, 2022)

Mutual Information Neural Estimation for Unsupervised Multi-Modal Registration of Brain Images. - Gerard Snaauw; Michele Sasdelli; Gabriel Maicas; Stephan Lau; Johan Verjans; Mark Jenkinson; Gustavo Carneiro 001 (EMBC, 2022)

Benchmarking D-Wave Quantum Annealers: Spectral Gap Scaling of Maximum Cardinality Matching Problems. - Cameron Robert McLeod; Michele Sasdelli (ICCS (4), 2022)

Physical Adversarial Attacks on an Aerial Imagery Object Detector. - Andrew Du; Bo Chen 009; Tat-Jun Chin; Yee Wei Law; Michele Sasdelli; Ramesh Rajasegaran; Dillon Campbell (WACV, 2022)

Training Multilayer Perceptrons by Sampling with Quantum Annealers. - Frances Fengyi Yang; Michele Sasdelli; Tat-Jun Chin (CoRR, 2023)

Projected Stochastic Gradient Descent with Quantum Annealed Binary Gradients. - Maximilian Krahn; Michele Sasdelli; Frances Fengyi Yang; Vladislav Golyanik; Juho Kannala; Tat-Jun Chin; Tolga Birdal (BMVC, 2024)

Robust Fitting on a Gate Quantum Computer. - Frances Fengyi Yang; Michele Sasdelli; Tat-Jun Chin (ECCV (1), 2024)