1 citations · 1 across the 3 of their papers we have counts for
6 papers
Sparse Orthogonal Regression Technique: A Spectral Framework for Equation Discovery, Approximation, and Integration
Sabin Roman, Ljupco Todorovski, Saso Dzeroski
We develop the Sparse Orthogonal Regression Technique (SORT), a sparse spectral framework for learning orthonormal-basis expansions from noisy and irregularly sampled data. SORT es…
Exploratory Modelling of Multi-System Transformation Pathways from Real-World Data: A SINDy-Inspired Sparse Orthogonal Regression Technique
Sabin Roman, Vitaliy Soloviy, Klaus Kubeczko
Sustainability transitions unfold through interacting dynamics across social, technological, economic, environmental, and governance dimensions. However, many modelling approaches…
Approximating the universal thermal climate index using sparse regression with orthogonal polynomials
Sabin Roman, Ljupco Todorovski, Saso Dzeroski +1
The Universal Thermal Climate Index (UTCI) is a measure of thermal comfort that quantifies how humans experience environmental conditions. Due to its robustness and versatility as…
Toward a new AI winter? How diffusion of technological innovation on networks leads to chaotic boom-bust cycles
Sabin Roman, Francesco Bertolotti
Technological developments and the impact of artificial intelligence (AI) are omnipresent themes and concerns of the present day. Much has been written on these topics but applicat…
Planetary Surface Temperatures from First Principles: Geometric Insights into Energy Balance and Implications for Habitable Exoplanets
Sabin Roman
A previously overlooked relation governing planetary surface temperatures in terms of solar irradiance and top-of-atmosphere Bond albedo is identified. It reproduces the observed c…
Maximum Entropy Models for Unimodal Time Series: Case Studies of Universe 25 and St. Matthew Island
Sabin Roman
We present a maximum entropy modeling framework for unimodal time series: signals that begin at a reference level, rise to a single peak, and return. Such patterns are commonly obs…