72 citations
- Korea Advanced Institute of Science and TechnologyKR2 papers
- Alexandru Ioan Cuza UniversityRO1 paper
- Boston UniversityUS1 paper
- Botho UniversityBW1 paper
- Centro Universitario de la Defensa en San JavierES1 paper
- FOM University of Applied Sciences for Economics and ManagementDE1 paper
- GlobalFoundries (Singapore)SG1 paper
- Istituti di Ricovero e Cura a Carattere ScientificoIT1 paper
- Istituto di Ricovero e Cura a Carattere Scientifico San RaffaeleIT1 paper
- Karolinska InstitutetSE1 paper
- KTH Royal Institute of TechnologySE1 paper
- Lightmatter (United States)US1 paper
14 papers
A Systematic Evaluation Protocol of Graph-Derived Signals for Tabular Machine Learning
Mario Heidrich, Jeffrey Heidemann, Rüdiger Buchkremer +1
While graph-derived signals are widely used in tabular learning, existing studies typically rely on limited experimental setups and average performance comparisons, leaving the sta…
Sense and Sensibility: What makes a social robot convincing to high-school students?
Pablo Gonzalez-Oliveras, Olov Engwall, Ali Reza Majlesi
This study with 40 high-school students demonstrates the high influence of a social educational robot on students' decision-making for a set of eight true-false questions on electr…
WISCA: A Consensus-Based Approach to Harmonizing Interpretability in Tabular Datasets
Antonio Jesús Banegas-Luna, Horacio Pérez-Sánchez, Carlos Martínez-Cortés
While predictive accuracy is often prioritized in machine learning (ML) models, interpretability remains essential in scientific and high-stakes domains. However, diverse interpret…
GME: GPU-based Microarchitectural Extensions to Accelerate Homomorphic Encryption
Kaustubh Shivdikar, Yuhui Bao, Rashmi Agrawal +9
Fully Homomorphic Encryption (FHE) enables the processing of encrypted data without decrypting it. FHE has garnered significant attention over the past decade as it supports secure…
SIBILA: A novel interpretable ensemble of general-purpose machine learning models applied to medical contexts
Antonio Jesús Banegas-Luna, Horacio Pérez-Sánchez
Personalized medicine remains a major challenge for scientists. The rapid growth of Machine learning and Deep learning has made them a feasible al- ternative for predicting the mos…
Bohmian Zitterbewegung
Giuseppe Ragunì
A new Bohmian quantum-relativistic model, in which from the Klein-Gordon equation a generalization of the standard Zitterbewegung arises, is explored. It is obtained by introducing…