About me
I'm Assistant Professor at Uppsala University in Sweden.
My work studies techniques to extract information and learn the intrinsic behavior of
time series, signals and dynamical systems. I have a focus on large-scale models
that can perform such tasks, with a special interest in their robustness and generalization
capabilities. While motivated by a range of applications, I am particularly interested in
the new prospects these advances can bring to medicine. In particular cardiology and
electrocardiography.
- Google scholar: link
- ORCID: 0000-0003-3632-8529
- SCOPUS ID: 57191699148
- DBLP: link
- Research gate: link
Contact
Uppsala UniversityDepartment of Information Technology
Ångströmslaboratoriet, Hus 10, Room 103179
Postal address: Box 337, 751 05, Uppsala, Sweden.
Email: antonio.horta.ribeiro@it.uu.se
News
| 2024-11-25 | ✈️ One month research visit to Francis Bach group at INRIA during Novemeber 2024. |
| 2024-10-24 | 📜 New Paper on Lancet Digital Health. We develop and validate a new AI-ECG cardiovascular risk estimator, (link) |
| 2024-09-30 | 📜 New survey on the Deep learning for System identification at Automatica. (link) |
| 2024-09-26 | 📜 New paper at NeurIPS (spotlight). Pre-trained transformers are aligned with Human olfactory perception. (link) |
| 2024-07-19 | 📝 I am hiring! Two new fully funded PhD position and one postdoc position. (link) |
| 2024-07-19 | 📜 New paper at ICML. We provide a high-dimensional analysis of PCA + Linear regression (PCR). (link) |
| 2024-06-25 | 📜 Two new papers: npj Digital Medicine and Scietific Reports. AI-ECG for predicting electrolytes and cardiometabolic disease. (link) (link) |
| 2024-06-14 | 🎓 Daniel Gedon successfully defended his PhD thesis. His thesis include publications on ICML, UAI, Scientific Reports and IEEE Signal Processing Letters. Next he is going to Tübingen University, Germany, as a PostDoc. (link) |
| 2024-06-05 | 📜 New paper about generalization of deep learning in AI-ECG. (link) |
| 2024-06-01 | 👨🏻🏫 I started as Assistant Professor at Uppsala University (link) |
| 2024-05-31 | 🎓 Arvid Eriksson successfully defended his MSc thesis. His master thesis generated a paper that will be presented in Computer in Cardiology 2024. He also got a position at KTH as a PhD Student. (link) |
| 2024-02-20 | 🎬 Talk at Karolinska as part of DDLS fellows program. (link) |
| 2024-02-19 | 📜 New paper about knowledge discovery in AI-ECG accepted in EHJ Digital Health (link) |
| 2024-02-01 | ✈️ I started as postdoctoral researcher at KTH Royal Institute of Technology, Sweden, (link) |
| 2023-10-30 | 🎬 I present my work in the seminar series from the National Laboratory of Scientific Computing (Brazil) (link) |
| 2023-10-05 | 📜 New paper accepted at NeurIPS as a spotlight. (link) |
| 2023-10-01 | 📜 New publications at Journal of Electrocardiology: Risk Prediction of Atrial Fibrillation from the 12-Lead ECG by a Deep neural network. (link) |
| 2023-09-25 | 🎬 I presented my work on the European Research Network System Identification (ENRSI) workshop in Stockholm (link) |
| 2023-07-27 | 📜 Two new publications: one at Circulation and one at the European Heart Journal Digital Health. (link) (link) |
| 2023-07-05 | ✈️ I visiting Fu Siong group at Imperial college for one week. (link) (link) |
| 2023-07-04 | 📜 Two new publications using AI-augmented ECG: screening for Chagas disease patients and using age estimated by AI-ECG as a biomarker of cardiovascular risk (link) (link) |
| 2023-05-24 | 🎬 Two online talks today. One at PUC-Rio-Brazil and one at IEEE EMBS Germany Chapter in Göttingen!. (link) (link) |
| 2023-05-12 | 📜 Paper accepted at IEEE Signal Processing Letters. Invertible Kernel PCA with Random Fourier Features (link) |
| 2023-04-04 | 📜 Paper accepted at Frontiers in Cardiovascular Medicine. Association of lifestyle with deep-learning based ECG-age (link) |
| 2023-02-15 | 📜 Paper accepted at IEEE Transactions on Signal Processing. Overparameterized Linear Regression under Adversarial Attacks (link) |
| 2023-01-25 | 📜 Paper accepted at IEEE Transactions on Biomedical Engineering. On Merging Feature Engineering and Deep Learning (link) |
| 2022-11-25 | ✈️ I was awarded the ELISE Mobility Grant for a research visit to Francis Bach group at ENS/INRIA during Spring 2023. |
| 2022-11-24 | 🎬 Talk at Aalto University and ELLIS unit Helsinki! "Adversarial Attacks in Linear Regression". (link) |
| 2022-11-15 | 📜 Paper accepted at Scientific Reports. Deep learning ECG-based prediction of myocardial infarction (link) |
| 2022-08-15 | 🏆 I received the Benzelius Award! From the Royal Academy of Sciences in Uppsala (photo) |
| 2022-06-29 | 🎓 Theogene Habineza successfully defended his MSc thesis. His master thesis generated a paper accepted for publication in Journal of Electrocadiography. (link) (link) |
