Mikel Bober-Irizar

Computer Science · Physical Sciences

6h-index564citations19works0.42yr avg
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Research Topics

Human Pose and Action Recognition(4), Anomaly Detection Techniques and Applications(4), Explainable Artificial Intelligence (XAI)(4), Software Engineering Research(3), Video Analysis and Summarization(3)

Publications19 total

MASR: Multi-Agent System with Reflection for the Abstraction and Reasoning Corpus
2025Open Access
Neural networks for abstraction and reasoning
Scientific Reports·2024· 2 citedOpen Access
A novel dynamic risk score to predict Clinically Significant Bleeding (CSB) after 3 months of anticoagulation in patients with incident Venous ThromboEmbolism (VTE) and without active cancer
European Heart Journal·2024
A novel dynamic risk score to predict venous thromboembolism (VTE) recurrences after 3 months of anticoagulation in patients with incident VTE and without active cancer
European Heart Journal·2024
Neural networks for abstraction and reasoning: Towards broad generalization in machines
2024· 1 citedOpen Access
Neural networks for abstraction and reasoning: Towards broad generalization in machines
arXiv (Cornell University)·2024Open Access
Neural networks for abstraction and reasoning: Towards broad generalization in machines
2024Open Access
Architectural Backdoors in Neural Networks
2023· 13 cited
Single-cell subcellular protein localisation using novel ensembles of diverse deep architectures
Communications Biology·2023· 11 citedOpen Access
Architectural Backdoors in Neural Networks
arXiv (Cornell University)·2022· 1 citedOpen Access
Single-cell Subcellular Protein Localisation Using Novel Ensembles of Diverse Deep Architectures
arXiv (Cornell University)·2022Open Access
Predicting the Ordering of Characters in Japanese Historical Documents
arXiv (Cornell University)·2021Open Access
KaoKore: A Pre-modern Japanese Art Facial Expression Dataset.
ICCC·2020· 1 cited
KaoKore: A Pre-modern Japanese Art Facial Expression Dataset
arXiv (Cornell University)·2020· 14 citedOpen Access
Learning to Localize Temporal Events in Large-scale Video Data
arXiv (Cornell University)·2019Open Access
Deep Learning for Classical Japanese Literature
arXiv (Cornell University)·2018· 485 citedOpen Access
Deep Architectures and Ensembles for Semantic Video Classification
IEEE Transactions on Circuits and Systems for Video Technology·2018· 25 cited
Deep Architectures and Ensembles for Semantic Video Classification
arXiv (Cornell University)·2018· 2 citedOpen Access
Cultivating DNN Diversity for Large Scale Video Labelling
arXiv (Cornell University)·2017· 9 citedOpen Access

Frequent Co-authors

Mirosław Bober(7), Eng-Jon Ong(5), Syed Sameed Husain(5), Soumya Banerjee(5), Alex Lamb(4), Asanobu Kitamoto(4), Tarin Clanuwat(4), Amaia Irizar(4), Yingtao Tian(2), Chikahiko Suzuki(2), Ilia Shumailov(2), Yiren Zhao(2), Robert F. Mullins(2), Nicolas Papernot(2), Dmitry Minskiy(2), Iqbal Khan(2), Kevin G. Pollock(2), Zbigniew Galias(2), David Ha(1), Kazuaki Yamamoto(1)