2024. 5th International Workshop on Graphs in Biomedical Image Analysis (GRAIL) / Workshop on Overlapped Celi on Tissue – Cell Detection from Cell-Tissue Interaction Challenge (OCELOT) / 5th MICCAI Workshop / 1st MICCAI Challenge Workshop, Vancouver, CANADA, SEP 23-OCT 04, 2023. p. 37 – 53. DOI : 10.1007/978-3-031-55088-1_4.

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2023

Estimating pollution spread in water networks as a Schrödinger bridge problem with partial information

M. Mascherpa; I. Haasler; B. Ahlgren; J. Karlsson

European Journal Of Control. 2023. Vol. 74, p. 100846. DOI : 10.1016/j.ejcon.2023.100846.

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Quality-Constrained Encoding Optimization for Omnidirectional Video Streaming

C. He; R. G. d. A. Azevedo; J. Chen; S. Zhu; B. Zeng et al.

Ieee Transactions On Circuits And Systems For Video Technology. 2023. Vol. 33, num. 10, p. 6185 – 6190. DOI : 10.1109/TCSVT.2023.3245066.

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Scalable Computation of Dynamic Flow Problems via Multimarginal Graph-Structured Optimal Transport

I. Haasler; A. Ringh; Y. Chen; J. Karlsson

Mathematics Of Operations Research. 2023. DOI : 10.1287/moor.2021.148.

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Stereo Confidence Estimation via Locally Adaptive Fusion and Knowledge Distillation

S. Kim; S. Kim; D. Min; P. Frossard; K. Sohn

Ieee Transactions On Pattern Analysis And Machine Intelligence. 2023. Vol. 45, num. 5, p. 6372 – 6385. DOI : 10.1109/TPAMI.2022.3207286.

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Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations

K. Sherratt; H. Gruson; R. Grah; H. Johnson; R. Niehus et al.

Elife. 2023. Vol. 12, p. e81916. DOI : 10.7554/eLife.81916.

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Blood pressure monitoring during anesthesia induction using PPG morphology features and machine learning

C. Aguet; J. Jorge; J. Van Zaen; M. Proenca; G. Bonnier et al.

Plos One. 2023. Vol. 18, num. 2, p. e0279419. DOI : 10.1371/journal.pone.0279419.

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Privacy-Preserving Image Acquisition for Neural Vision Systems

Y. Sepehri; P. Pad; C. Kundig; P. Frossard; L. A. Dunbar

Ieee Transactions On Multimedia. 2023. Vol. 25, p. 6232 – 6244. DOI : 10.1109/TMM.2022.3207018.

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Mean Field Type Control With Species Dependent Dynamics via Structured Tensor Optimization

A. Ringh; I. Haasler; Y. Chen; J. Karlsson

Ieee Control Systems Letters. 2023. Vol. 7, p. 2898 – 2903. DOI : 10.1109/LCSYS.2023.3289050.

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The inductive bias of deep learning: Connecting weights and functions

G. Ortiz Jimenez / P. Frossard (Dir.)

Lausanne, EPFL, 2023.

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Sparse Attacks for Manipulating Explanations in Deep Neural Network Models

A. Ajalloeian; S. M. Moosavi-Dezfooli; M. Vlachos; P. Frossard

2023. 23rd IEEE International Conference on Data Mining (IEEE ICDM), Shanghai, PEOPLES R CHINA, DEC 01-04, 2023. p. 918 – 923. DOI : 10.1109/ICDM58522.2023.00101.

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DARE: Towards Robust Text Explanations in Biomedical and Healthcare Applications

A. Ivankay; M. Rigotti; P. Frossard

2023. 61st Annual Meeting of the the Association-for-Computational-Linguistics (ACL), Toronto, CANADA, JUL 09-14, 2023. p. 11499 – 11533. DOI : 10.18653/v1/2023.acl-long.644.

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Online Network Source Optimization with Graph-Kernel MAB

L. Toni; P. Frossard

2023. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Turin, ITALY, SEP 18-22, 2023. p. 242 – 258. DOI : 10.1007/978-3-031-43418-1_15.

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Equivariant Neural Architectures for Representing and Generating Graphs

C. A. Y. Vignac / P. Frossard (Dir.)

Lausanne, EPFL, 2023.

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On the Granularity of Explanations in Model Agnostic NLP Interpretability

Y. Rychener; X. Renard; D. Seddah; P. Frossard; M. Detyniecki

2023. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Grenoble, FRANCE, Sep 19-23, 2022. p. 498 – 512. DOI : 10.1007/978-3-031-23618-1_33.

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MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation

C. Vignac; N. Osman; L. Toni; P. Frossard

2023. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Turin, ITALY, SEP 18-22, 2023. p. 560 – 576. DOI : 10.1007/978-3-031-43415-0_33.

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Estimating and Improving the Robustness of Attributions in Text

Á. D. Ivánkay / P. Frossard (Dir.)

Lausanne, EPFL, 2023.

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Hardware-Software Co-design for Improved Resource Utilization in DNN Accelerators

A. C. Yüzügüler / P. Frossard (Dir.)

Lausanne, EPFL, 2023.

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Data-driven approaches for non-invasive cuffless blood pressure monitoring

C. L. Aguet / P. Frossard; J. S. Van Zaen (Dir.)

Lausanne, EPFL, 2023.

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Knowledge Distillation with Graph Neural Networks for Epileptic Seizure Detection

Q. Zheng; A. Venkitaraman; S. Petravic; P. Frossard

2023. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Turin, ITALY, SEP 18-22, 2023. p. 547 – 563. DOI : 10.1007/978-3-031-43427-3_33.

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Graph Signal Separation Based on Smoothness or Sparsity in the Frequency Domain

S. Mohammadi; M. Babaie-Zadeh; D. Thanou

IEEE Transactions On Signal And Information Processing Over Networks. 2023. Vol. 9, p. 152 – 161. DOI : 10.1109/TSIPN.2023.3254443.

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Deep learning-based prediction of future myocardial infarction using invasive coronary angiography: a feasibility study

T. Mahendiran; D. Thanou; O. Senouf; D. Meier; N. Dayer et al.

Open Heart. 2023. Vol. 10, num. 1, p. e002237. DOI : 10.1136/openhrt-2022-002237.

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2022

Attention-based learning of views fusion applied to myocardial infarction diagnosis from x-ray CT

J. J. Gwizdala; O. Y. Senouf; D. Auberson; D. Meier; D. Rotzinger et al.

2022. MedNeurIPS.

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Anatomy-informed multimodal learning for myocardial infarction prediction

I-D. Sievering; O. Y. Senouf; T. Mahendiran; D. Nanchen; S. Fournier et al.

2022. MedNeurIPS.

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