Petia I. Radeva
Full professor in the Department of Mathematics and Computer Science at the Universtiy of Barcelona, Senior Researcher in CVC, Head of “Artificial Intelligence and Bio-Medical Applications at UB”
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petia.ivanova@ub.edu
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Profile summary
Prof. Petia Radeva is a Full professor at the Universitat de Barcelona (UB), PI of the Consolidated Research Group “Artificial Intelligence and Bio-Medical Applications” at the University of Barcelona (AIBA) at UB (www.ub.edu/cvub) and Senior researcher in Computer Vision Center (www.cvc.uab.es). She was PI of UB in 4 European, 3 international and more than 20 national projects devoted to applying Computer Vision and Machine learning for real problems like food intake monitoring (e.g. for patients with kidney transplants and for older people). Petia Radeva is a REA-FET-OPEN vice-chair since 2015 on, and international mentor in the Wild Cards EIT program since 2017.
She is an Associate editor of Pattern Recognition journal (Q1) and International Journal of Visual Communication and Image Representation (Q2).
Petia Radeva has been awarded IAPR Fellow since 2015, ICREA Academia assigned to the 30 best scientists in Catalonia for her scientific merits since 2014, received several international awards (“Aurora Pons Porrata” of CIARP, Prize “Antonio Caparrós” for the best technology transfer of UB, etc).
She supervised 22 PhD students and published more than 100 SCI journal publications and 250 international chapters and proceedings, her Google scholar h-index is 44 with more than 7600 cites and WOS h-index: 79.
Latest publications
Petia I. Radeva has 639 publications on Google Scholar.
Only the last 20 publications are shown here.
Access Petia I. Radeva Google Scholar Profile
Bayesian DivideMix++ for Enhanced Learning with Noisy Labels
2024 | Bhalaji Nagarajan, Ricardo Marques, Eduardo Aguilar, Petia Radeva | Neural Networks 172, 106122, 2024
Grading and fraud detection of saffron via learning-to-augment incorporated Inception-v4 CNN
2023 | Mohammad Momeny, Ali Asghar Neshat, Ahmad Jahanbakhshi, Majid Mahmoudi, Yiannis Ampatzidis, Petia Radeva | Food Control 147, 109554, 2023
Commentary on explainable artificial intelligence methods: SHAP and LIME
2023 | Ahmed Salih, Zahra Raisi-Estabragh, Ilaria Boscolo Galazzo, Petia Radeva, Steffen E Petersen, Gloria Menegaz, Karim Lekadir | arXiv preprint arXiv:2305.02012, 2023
Ischemic heart disease and vascular risk factors are associated with accelerated brain aging
2023 | Elisa Rauseo, Ahmed Salih, Zahra Raisi-Estabragh, Nay Aung, Neha Khanderia, Gregory G Slabaugh, Charles R Marshall, Stefan Neubauer, Petia Radeva, Ilaria Boscolo Galazzo, Gloria Menegaz, Steffen E Petersen | JACC: Cardiovascular Imaging, 2023
Multimodal image sensor fusion in a cascaded framework using optimized dual channel pulse coupled neural network
2023 | Manisha Das, Deep Gupta, Petia Radeva, Ashwini M Bakde | Journal of Ambient Intelligence and Humanized Computing 14 (9), 11985-12004, 2023
Multi-modal Medical Neurological Image Fusion using Wavelet Pooled Edge Preserving Autoencoder
2023 | Manisha Das, Deep Gupta, Petia Radeva, Ashwini M Bakde | arXiv preprint arXiv:2310.11910, 2023
Behavioural patterns discovery for lifestyle analysis from egocentric photo-streams
2023 | Martín Menchón, Estefania Talavera, José Massa, Petia Radeva | Pervasive and Mobile Computing 95, 101846, 2023
A new person re-identification method by defining CNN-based feature extractor and sparse representation
2023 | Amir Sezavar, Hassan Farsi, Sajad Mohamadzadeh, Petia Radeva | Multimedia Tools and Applications, 1-17, 2023
CCLM: Class-Conditional Label Noise Modelling
2023 | Albert Tatjer, Bhalaji Nagarajan, Ricardo Marques, Petia Radeva | Iberian Conference on Pattern Recognition and Image Analysis, 3-14, 2023
All4One: Symbiotic Neighbour Contrastive Learning via Self-Attention and Redundancy Reduction
2023 | Imanol G Estepa, Ignacio Sarasúa, Bhalaji Nagarajan, Petia Radeva | arXiv preprint arXiv:2303.09417, 2023
ELFIS: Expert Learning for Fine-grained Image Recognition Using Subsets
2023 | Pablo Villacorta, Jesús M Rodríguez-de-Vera, Marc Bolaños, Ignacio Sarasúa, Bhalaji Nagarajan, Petia Radeva | arXiv preprint arXiv:2303.09269, 2023
Continual Evidential Deep Learning for Out-of-Distribution Detection
2023 | Eduardo Aguilar, Bogdan Raducanu, Petia Radeva, Joost Van de Weijer | Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
Efficient Deep Learning Ensemble for Skin Lesion Classification
2023 | David Duenas Gaviria, Md Mostafa Kamal Saker, Petia Radeva
A Review of Evaluation Approaches for Explainable AI With Applications in Cardiology
2023 | Ahmed Salih, Ilaria Boscolo Galazzo, Polyxeni Gkontra, Elisa Rauseo, Aaron Mark Lee, Karim Lekadir, Petia Radeva, Steffen Petersen, Gloria Menegaz | Authorea Preprints, 2023
F2-Net: Feature Finding Network for Long-Tailed Fine-Grained Food Recognition
2023 | Jesús M Rodríguez-de-Vera, Imanol G Estepa, Marc Bolaños, Bhalaji Nagarajan, Petia Radeva | Authorea Preprints, 2023
Dining on Details: LLM-Guided Expert Networks for Fine-Grained Food Recognition
2023 | Jesús M Rodríguez-de-Vera, Pablo Villacorta, Imanol G Estepa, Marc Bolaños, Ignacio Sarasúa, Bhalaji Nagarajan, Petia Radeva | Proceedings of the 8th International Workshop on Multimedia Assisted Dietary …, 2023
A New Multimodal Medical Image Fusion based on Laplacian Autoencoder with Channel Attention
2023 | Payal Wankhede, Manisha Das, Deep Gupta, Petia Radeva, Ashwini M Bakde | arXiv preprint arXiv:2310.11896, 2023
Time-Aware Circulant Matrices for Question-Based Temporal Localization
2023 | Pierfrancesco Bruni, Alex Falcon, Petia Radeva | International Conference on Image Analysis and Processing, 182-195, 2023
Deep ensemble-based hard sample mining for food recognition
2023 | Bhalaji Nagarajan, Marc Bolaños, Eduardo Aguilar, Petia Radeva | Journal of Visual Communication and Image Representation 95, 103905, 2023
Characterizing the contribution of dependent features in XAI methods
2023 | Ahmed Salih, Ilaria Boscolo Galazzo, Zahra Raisi-Estabragh, Steffen E Petersen, Gloria Menegaz, Petia Radeva | arXiv preprint arXiv:2304.01717, 2023
