Zobrazeno 1 - 10
of 6 403
pro vyhledávání: '"Michalak P"'
Electronic sports (esports) and research on this emerging field are interdisciplinary in nature. By extension, it is essential to understand how to standardize and structure training with the help of existing tools developed by years of research in s
Externí odkaz:
http://arxiv.org/abs/2409.19180
A given self-map $f\colon M\to M$ of a compact manifold determines the sequence $\{L(f^n)\}_{n=1}^\infty$, of the Lefschetz numbers of its iterations. We consider its dual sequence $\{a_n(f)\}_{n=1}^\infty$ given by the M\"obius inversion formula. Th
Externí odkaz:
http://arxiv.org/abs/2408.12372
Autor:
Michalak, Piotr, Lesiuk, Michał
In the present work we report an implementation of the rank-reduced equation-of-motion coupled cluster method with approximate triple excitations (RR-EOM-CC3). The proposed variant relies on tensor decomposition techniques in order to alleviate the h
Externí odkaz:
http://arxiv.org/abs/2407.16572
Autor:
Michalak Piotr
Publikováno v:
Polish Cartographical Review, Vol 51, Iss 3, Pp 109-116 (2019)
The author presents the results of research on the use of artificial neural networks in predicting voter turnout. He describes the principles of operation of artificial neural networks, as well as detailed results of two machine learning methods used
Externí odkaz:
https://doaj.org/article/18f4367cc10840e8a0d25430443103d1
Autor:
Podhajski, Marcin, Dubiński, Jan, Boenisch, Franziska, Dziedzic, Adam, Pregowska, Agnieszka, Michalak, Tomasz P.
Graph Neural Networks (GNNs) are recognized as potent tools for processing real-world data organized in graph structures. Especially inductive GNNs, which allow for the processing of graph-structured data without relying on predefined graph structure
Externí odkaz:
http://arxiv.org/abs/2405.12295
The use of ML models to predict a user's cognitive state from behavioral data has been studied for various applications which includes predicting the intent to perform selections in VR. We developed a novel technique that uses gaze-based intent model
Externí odkaz:
http://arxiv.org/abs/2404.13829
Cabling tasks (pulling, clipping, and plug insertion) are today mostly manual work, limiting the cost-effectiveness of electrification. Feasibility for the robotic grasping and insertion of plugs, as well as the manipulation of cables, have been show
Externí odkaz:
http://arxiv.org/abs/2404.10829
Autor:
Michalak, Łukasz Patryk
In this work we are focused on the existence of Morse functions on a closed manifold $M$ which are far from being ordered, i.e. whose Reeb graphs have positive first Betti number, especially the maximal possible, equals $\operatorname{corank}(\pi_1(M
Externí odkaz:
http://arxiv.org/abs/2403.02291
In this work, we reexamine the vulnerability of Payment Channel Networks (PCNs) to bribing attacks, where an adversary incentivizes blockchain miners to deliberately ignore a specific transaction to undermine the punishment mechanism of PCNs. While p
Externí odkaz:
http://arxiv.org/abs/2402.01363
Autor:
Polevoy, Gleb, Michalak, Tomasz
Consider spies infiltrating a network or dissidents secretly organising under a dictatorship. Such scenarios can be cast as adversarial social network analysis problems involving nodes connecting while evading network analysis tools, e.g., centrality
Externí odkaz:
http://arxiv.org/abs/2312.01394