4 citations · 7 across the 8 of their papers we have counts for
10 papers
Evolutionary foraging in grids: Intermittent search dynamics emerge in finite, depletable landscapes
Shailendra Bhandari, Alex Szorkovszky, Anis Yazidi +1
How search strategies evolve in finite, depletable landscapes remains a question in foraging theory. We study this problem with an evolutionary simulation in which agents forage on…
Diffusion models for eye-gaze trajectory generation using position and velocity representations
Laxman Basnet, Alexander Szorkovszky, Pedro G. Lind +2
Eye-tracking data are expensive to collect, requiring specialized hardware and controlled laboratory conditions, and difficult to share because of privacy constraints. We address t…
Identification of fixations and saccades in eye-tracking data using adaptive threshold-based method
Charles Orioma, Josef Krivan, Rujeena Mathema +4
Properties of ocular fixations and saccades are highly stochastic during many experimental tasks, and their statistics are often used as proxies for various aspects of cognition. A…
Jump-diffusion models of parametric volume-price distributions
Anup Budhathoki, Leonardo Rydin Gorjão, Pedro G. Lind +1
We present a data-driven framework to model the stochastic evolution of volume-price distribution from the New York Stock Exchange (NYSE) equities. The empirical distributions are…
Saccade crossing avoidance as a visual search strategy
Alex Szorkovszky, Rujeena Mathema, Pedro Lencastre +2
Although visual search appears largely random, several oculomotor biases exist such that the likelihoods of saccade directions and lengths depend on the previous scan path. Compare…
IntLevPy: A Python library to classify and model intermittent and Lévy processes
Shailendra Bhandari, Pedro Lencastre, Sergiy Denysov +2
IntLevPy provides a comprehensive description of the IntLevPy Package, a Python library designed for simulating and analyzing intermittent and Lévy processes. The package includes…
Discontinuous stochastic forcing in Greenland ice core data
Keno Riechers, Andreas Morr, Klaus Lehnertz +4
Paleoclimate proxy records from Greenland ice cores, archiving e.g. O as a proxy for surface temperature, show that sudden climatic shifts called Dansgaard-Oeschger events…
Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity
Shailendra Bhandari, Pedro Lencastre, Rujeena Mathema +3
Accurate modeling of eye gaze dynamics is essential for advancement in human-computer interaction, neurological diagnostics, and cognitive research. Traditional generative models l…
Modeling stochastic eye tracking data: A comparison of quantum generative adversarial networks and Markov models
Shailendra Bhandari, Pedro Lincastre, Pedro Lind
We explore the use of quantum generative adversarial networks QGANs for modeling eye movement velocity data. We assess whether the advanced computational capabilities of QGANs can…
Optimizing quantum circuits with evolutionary algorithms for stable Boolean gates, elementary cellular automata, and highly entangled quantum states
Shailendra Bhandari, Stefano Nichele, Sergiy Denysov +1
We investigate the potential of bio-inspired evolutionary algorithms for designing quantum circuits with specific goals, focusing on two particular tasks. The first one is motivate…