output
20042026
most citedExtreme events in discrete nonlinear lattices

43 citations

82 papers

cs.CR2026

Dual-Locking Learned AI Models: A PIN-Based Sparse QIM Watermarking and Adaptive Index Permutation Approach

Iva Vasic, Jesús Muñoz-Cádiz, Bata Vasic

We present a dual-locking method for securing trained neural networks that combines key-driven index permutation with PIN-based watermarking based on Sparse Quantization Index Modu…

cs.LG2026★ 2 cited

On the global feature importance for interpretable and trustworthy heat demand forecasting

Milan Zdravković

The paper introduces the ante-hoc Explainable AI methodology to assess the global feature importance of the Machine Learning models used for heat demand forecasting in intelligent…

cs.LG2026★ 5 cited

XGBoost "is all you need": the case of forecasting transmitted heat energy in District Heating Systems

Milan Zdravković

This paper presents a comparative study of two distinct approaches, XGBoost and Long-Short Term Memory (LSTM), for forecasting transmitted heat energy in District Heating Systems (…

cs.LG2026★ 1 cited

Towards an approach to multivariate outlier detection for District Heating System data

Rajko Turudija, Dušan Stojiljković, Milan Zdravković +1

In this paper, we test different methods for multivariate detection of outliers in the data of transmitted heat energy in the selected substation of local District Heating System,…

cond-mat.stat-mech2026

Thermalization in a nonlinear variant of the discrete nonlinear Schrödinger Equation

Yagmur Kati, Aleksandra Maluckov, Ana Mancic +1

We study the thermalization properties of a fully nonlinear lattice model originally derived from the two-dimensional cubic defocusing nonlinear Schr{ö}dinger equation (NLS) using…

math.CO2025★ 1 cited

On the transmission irregular trees with the maximum Wiener index

Ivan Damnjanović, Anran Xu, Kexiang Xu

The transmission of a vertex in a (chemical) graph is the sum of distances from to other vertices in . If any two vertices of have different transmissions, then…