José Oramas

University of Antwerp — Belgium

Computer Science · Physical Sciences

9h-index1.2kcitations87works0.62yr avg
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Research Topics

Advanced Neural Network Applications(15), Human Pose and Action Recognition(12), Explainable Artificial Intelligence (XAI)(12), Advanced Image and Video Retrieval Techniques(10), Generative Adversarial Networks and Image Synthesis(9)

Publications87 total

Enhancing hyperspectral image prediction with contrastive learning in low-label regimes
Applied Intelligence·2026· 1 citedOpen Access
A taxonomy of interpretation and explanation methods for capsule network architectures
Neurocomputing·2025
Smooth InfoMax - Towards Easier Post-Hoc Interpretability
Lecture notes in computer science·2025
Explaining and interpreting hyperdimensional computing classifiers on tabular data
Neurocomputing·2025Open Access
Explainability-Driven Dimensionality Reduction for Hyperspectral Imaging
arXiv (Cornell University)·2025Open Access
A beginner’s approach to deep learning applied to VS and MD techniques
Journal of Cheminformatics·2025· 1 citedOpen Access
Compositionality Unlocks Deep Interpretable Models
arXiv (Cornell University)·2025Open Access
Label-Efficient Learning for Radio Frequency Fingerprint Identification
2025· 1 citedOpen Access
Efficient Post-Hoc Uncertainty Calibration via Variance-Based Smoothing
arXiv (Cornell University)·2025Open Access
Quantifying Generative Stability: Mode Collapse Entropy Score for Mode Diversity Evaluation
2025
Explaining and Interpreting Hyperdimensional Computing Classifiers on Tabular Data
SSRN Electronic Journal·2025Open Access
Analyzing the Explanation and Interpretation Potential of Matrix Capsule Networks
Communications in computer and information science·2025
Towards the characterization of representations learned via capsule-based network architectures
Neurocomputing·2024· 1 cited
Bilinear MLPs enable weight-based mechanistic interpretability
arXiv (Cornell University)·2024Open Access
Deep Model Interpretation with Limited Data : A Coreset-based Approach
arXiv (Cornell University)·2024Open Access
Smooth InfoMax -- Towards Easier Post-Hoc Interpretability
arXiv (Cornell University)·2024Open Access
SNIPPET: A Framework for Subjective Evaluation of Visual Explanations Applied to DeepFake Detection
ACM Transactions on Multimedia Computing Communications and Applications·2024· 2 citedOpen Access
On the coherency of quantitative evaluation of visual explanations
Computer Vision and Image Understanding·2024· 2 cited
Towards the Characterization of Representations Learned Via Capsule-Based Network Architectures
SSRN Electronic Journal·2024· 1 citedOpen Access
Recognizing Actions in High-Resolution Low-Framerate Videos: A Feasibility Study in the Construction Sector
2024Open Access
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Frequent Co-authors

Tinne Tuytelaars(28), Kaili Wang(9), Luc Van Gool(6), Luc De Raedt(5), Laura Antanas(4), Kevin Mets(4), Tom De Schepper(4), Steven Latré(4), Salma Haidar(4), Martijn van Otterlo(3), Liqian Ma(3), Mattias Billast(3), Peter Hellinckx(3), Benjamin Vandersmissen(3), Basura Fernando(2), Efstratios Gavves(2), Amir Ghodrati(2), Yu-Hui Huang(2), Hamed Behzadi-Khormouji(2), Saja Khaled Tawalbeh(2)