Zobrazeno 1 - 10
of 16 499
pro vyhledávání: '"Jablonski, A"'
Autor:
Agarwal, Mohit, Sun, Mimi, Kamath, Chaitanya, Muslim, Arbaaz, Sarker, Prithul, Paul, Joydeep, Yee, Hector, Sieniek, Marcin, Jablonski, Kim, Mayer, Yael, Fork, David, de Guia, Sheila, McPike, Jamie, Boulanger, Adam, Shekel, Tomer, Schottlander, David, Xiao, Yao, Manukonda, Manjit Chakravarthy, Liu, Yun, Bulut, Neslihan, Abu-el-haija, Sami, Eigenwillig, Arno, Kothari, Parth, Perozzi, Bryan, Bharel, Monica, Nguyen, Von, Barrington, Luke, Efron, Niv, Matias, Yossi, Corrado, Greg, Eswaran, Krish, Prabhakara, Shruthi, Shetty, Shravya, Prasad, Gautam
Supporting the health and well-being of dynamic populations around the world requires governmental agencies, organizations and researchers to understand and reason over complex relationships between human behavior and local contexts in order to ident
Externí odkaz:
http://arxiv.org/abs/2411.07207
We prove that a CPD unilateral weighted shift $W_{\lambda}$ of type III is a quasi-affine transform of the operator $M_z$ of multiplication by the independent variable on the $L^2(\rho)$-closure of analytic complex polynomials on the complex plane, w
Externí odkaz:
http://arxiv.org/abs/2411.04911
Autor:
Meishvili, Givi, Clemoes, James, Hewitt, Charlie, Hosenie, Zafiirah, Xiao, Xian, de La Gorce, Martin, Takacs, Tibor, Baltrusaitis, Tadas, Criminisi, Antonio, McRae, Chyna, Jablonski, Nina, Wilczkowiak, Marta
We present a method for prediction of a person's hairstyle from a single image. Despite growing use cases in user digitization and enrollment for virtual experiences, available methods are limited, particularly in the range of hairstyles they can cap
Externí odkaz:
http://arxiv.org/abs/2410.11528
Autor:
Neuberger, Julian, van der Aa, Han, Ackermann, Lars, Buschek, Daniel, Herrmann, Jannic, Jablonski, Stefan
Machine-learning based generation of process models from natural language text process descriptions provides a solution for the time-intensive and expensive process discovery phase. Many organizations have to carry out this phase, before they can uti
Externí odkaz:
http://arxiv.org/abs/2410.01356
Autor:
Fermiano, V., Saito, R. K., Ivanov, V. D., Caceres, C., Almeida, L. A., Aires, J., Beamin, J. C., Minniti, D., Ferreira, T., Andrade, L., Borges, B. W., de Almeida, L., Jablonski, F., Schlindwein, W.
Young planetary systems represent an opportunity to investigate the early stages of (exo)planetary formation because the gravitational interactions have not yet significantly changed the initial configuration of the system. TOI-4562 b is a highly ecc
Externí odkaz:
http://arxiv.org/abs/2409.06924
Predictive process monitoring aims to support the execution of a process during runtime with various predictions about the further evolution of a process instance. In the last years a plethora of deep learning architectures have been established as s
Externí odkaz:
http://arxiv.org/abs/2408.07097
Over the past decade, extensive research efforts have been dedicated to the extraction of information from textual process descriptions. Despite the remarkable progress witnessed in natural language processing (NLP), information extraction within the
Externí odkaz:
http://arxiv.org/abs/2407.18540
Mobile network performance modeling typically assumes either a fixed cell's configuration or only considers a limited number of parameters. This prohibits the exploration of multidimensional, diverse configuration space for, e.g., optimization purpos
Externí odkaz:
http://arxiv.org/abs/2407.06702
Autor:
Dzienisiewicz, Daniel, Graliński, Filip, Jabłoński, Piotr, Kubis, Marek, Skórzewski, Paweł, Wierzchoń, Piotr
This paper presents the POLygraph dataset, a unique resource for fake news detection in Polish. The dataset, created by an interdisciplinary team, is composed of two parts: the "fake-or-not" dataset with 11,360 pairs of news articles (identified by t
Externí odkaz:
http://arxiv.org/abs/2407.01393
Autor:
Ackermann, Lars, Käppel, Martin, Marcus, Laura, Moder, Linda, Dunzer, Sebastian, Hornsteiner, Markus, Liessmann, Annina, Zisgen, Yorck, Empl, Philip, Herm, Lukas-Valentin, Neis, Nicolas, Neuberger, Julian, Poss, Leo, Schaschek, Myriam, Weinzierl, Sven, Wördehoff, Niklas, Jablonski, Stefan, Koschmider, Agnes, Kratsch, Wolfgang, Matzner, Martin, Rinderle-Ma, Stefanie, Röglinger, Maximilian, Schönig, Stefan, Winkelmann, Axel
The rapid development of cutting-edge technologies, the increasing volume of data and also the availability and processability of new types of data sources has led to a paradigm shift in data-based management and decision-making. Since business proce
Externí odkaz:
http://arxiv.org/abs/2406.01786