< Back to previous page
Researcher
Aleksandra Pizurica
- Keywords:Digital Signal Processing, Image processing, Machine Learning, Uncertainty modelling, Deep learning, Computer vision, cultural heritage, artificial intelligence
- Disciplines:Biomedical image processing, Computer vision, Image processing, Interactive and intelligent systems, Pattern recognition and neural networks, Machine learning and decision making, Image and language processing
Affiliations
- Board of Governors/Executive Board (Administrative office)
Member
From1 Oct 2022 → Today - Department of Telecommunications and information processing (Department)
Member
From1 Nov 2001 → Today
Projects
1 - 10 of 12
- BALaTAI: Belgian Art Links & Tools for Artificial IntelligenceFrom1 Mar 2024 → TodayFunding: FED-tWIN
- Genetic predictors of joint shape and cartilage mechanicsFrom1 Oct 2022 → TodayFunding: BOF - projects
- Sparse Coding of Dynamic Point Clouds for Scene Analysis and Reconstruction (SPYDER)From1 Jan 2022 → TodayFunding: FWO research project (including WEAVE projects)
- Towards Reliable Land Cover Change Detection from Multi-Sensor Data (REALISE)From1 Oct 2021 → TodayFunding: BOF - projects
- Cremations, Urns and Mobility U+2013 Ancient population dynamics in BelgiumFrom1 Jan 2018 → 31 Dec 2021Funding: FWO EOS
- Imprecise continuous-time Markov chainsFrom1 Mar 2017 → 31 Aug 2021Funding: BOF - Other initiatives
- Dictionary Learning and Distributed Inference for the Processing of Large-scale Heterogeneous Image Data (DOLPHIN)From1 Jan 2017 → 31 Dec 2020Funding: FWO research project (including WEAVE projects)
- Massive Data Mining for Remote Sensing Imagery From1 Oct 2016 → 30 Sep 2019Funding: FWO fellowships
- Big Heterogeneous Data Sensing and Processing in Computer VisionFrom1 Mar 2016 → 31 Aug 2019Funding: BOF - Other initiatives
- Alliance Research Group: International Big Data Analytics LabFrom1 Feb 2016 → 31 Aug 2022
Publications
1 - 10 of 257
- From model-based optimization algorithms to deep learning models for clustering hyperspectral images(2023)
Authors: Shaoguang Huang, Hongyan Zhang, Haijin Zeng, Aleksandra Pizurica
- HSIToolbox : a web-based application for the classification of hyperspectral images(2023)
Authors: Nina Žižakić, Shaoguang Huang, Xian Li, Aleksandra Pizurica
- A new deep learning neural network architecture for seafloor characterisation(2023)
Authors: Yoann Yves Jean Arhant, Xavier Neyt, Aleksandra Pizurica
Number of pages: 1 - D4SC : deep supervised semantic segmentation for seabed characterisation in low label regime(2023)
Authors: Yoann Yves Jean Arhant, Olga Lopera Tellez, Xavier Neyt, Aleksandra Pizurica
Pages: 6932 - 6935 - GPU rasterization-based 3D LiDAR simulation for deep learning(2023)
Authors: Leon Denis, Remco Royen, Quentin Bolsée, Nicolas Vercheval, Aleksandra Pizurica, Adrian Munteanu
- Heterogeneous regularization-based tensor subspace clustering for hyperspectral band selection(2023)
Authors: Shaoguang Huang, Hongyan Zhang, Jize Xue, Aleksandra Pizurica
Pages: 9259 - 9273 - An end-to-end framework for joint denoising and classification of hyperspectral images(2023)
Authors: Xian Li, Mingli Ding, Yanfeng Gu, Aleksandra Pizurica
Pages: 3269 - 3283 - On interpretability of CNNs for multimodal medical image segmentation(2022)
Authors: Srdan Lazendic, Jens Janssens, Shaoguang Huang, Aleksandra Pizurica
Pages: 1417 - 1421 - A structural subspace clustering approach for hyperspectral band selection(2022)
Authors: Shaoguang Huang, Hongyan Zhang, Aleksandra Pizurica
- Efficient local image descriptors learned with autoencoders(2022)
Authors: Nina Žižakić, Aleksandra Pizurica
Pages: 221 - 235