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Venues (Conferences, Journals, ...)
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GrowBag graphs for keyword ? (Num. hits/coverage)
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The graphs summarize 13 occurrences of 13 keywords
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Results
Found 27 publication records. Showing 26 according to the selection in the facets
Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
58 | Fabrício Martins Lopes, Roberto M. Cesar, Luciano da Fontoura Costa |
AGN Simulation and Validation Model. |
BSB |
2008 |
DBLP DOI BibTeX RDF |
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49 | Takuhito Kuwabara, Ryoji Matsumoto, Shigeki Miyaji, Kenji Nakamura |
Implementation of Nested Gris Scheme for Global Magnetohydrodynamic Simulations of Astrophysical Rotating Plasmas. |
HPCN |
2000 |
DBLP DOI BibTeX RDF |
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49 | Hiroaki Inayoshi |
Artificial Spacing Patterns in a Network of Interacting Celloids. |
PPSN |
1994 |
DBLP DOI BibTeX RDF |
artificial life - cell, celloid - organism, organismoid, organization - Genetic Network, Artificial Genetic Network - spacing pattern, bristle - differentiation - interaction - gene, gene expression, regulation |
42 | Mikael Agn, Per Munck af Rosenschöld, Oula Puonti, Michael J. Lundemann, Laura Mancini, Anastasia Papadaki, Steffi Thust, John Ashburner, Ian Law, Koen Van Leemput |
A modality-adaptive method for segmenting brain tumors and organs-at-risk in radiation therapy planning. |
Medical Image Anal. |
2019 |
DBLP DOI BibTeX RDF |
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42 | Mikael Agn, Koen Van Leemput |
Fast Nonparametric Mutual-Information-based Registration and Uncertainty Estimation. |
UNSURE/CLIP@MICCAI |
2019 |
DBLP DOI BibTeX RDF |
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42 | Mikael Agn, Per Munck af Rosenschöld, Oula Puonti, Michael J. Lundemann, Laura Mancini, Anastasia Papadaki, Steffi Thust, John Ashburner, Ian Law, Koen Van Leemput |
A Modality-Adaptive Method for Segmenting Brain Tumors and Organs-at-Risk in Radiation Therapy Planning. |
CoRR |
2018 |
DBLP BibTeX RDF |
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42 | Mikael Agn |
Computational Modeling of Medical Images of Brain Tumor Patients for Optimized Radiation Therapy Planning. |
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2017 |
RDF |
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42 | Mikael Agn, Ian Law, Per Munck af Rosenschöld, Koen Van Leemput |
A generative model for segmentation of tumor and organs-at-risk for radiation therapy planning of glioblastoma patients. |
Medical Imaging: Image Processing |
2016 |
DBLP DOI BibTeX RDF |
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42 | Mark Lyksborg, Oula Puonti, Mikael Agn, Rasmus Larsen 0001 |
An Ensemble of 2D Convolutional Neural Networks for Tumor Segmentation. |
SCIA |
2015 |
DBLP DOI BibTeX RDF |
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42 | Mikael Agn, Oula Puonti, Per Munck af Rosenschöld, Ian Law, Koen Van Leemput |
Brain Tumor Segmentation Using a Generative Model with an RBM Prior on Tumor Shape. |
Brainles@MICCAI |
2015 |
DBLP DOI BibTeX RDF |
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42 | Mikael Agn, Claus Svarer, Vibe G. Frokjaer, Douglas N. Greve, Gitte Moos Knudsen, Koen Van Leemput |
Improved resolution and reliability in dynamic PET using Bayesian regularization of MRTM2. |
ISBI |
2014 |
DBLP DOI BibTeX RDF |
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37 | Danny Weyns, Nelis Boucké, Tom Holvoet |
A field-based versus a protocol-based approach for adaptive task assignment. |
Auton. Agents Multi Agent Syst. |
2008 |
DBLP DOI BibTeX RDF |
Gradient fields, Extended Contract Net protocol, Automatic Guided Vehicles, AGN, Task assignment |
33 | Xiao Li 0025, Guy Rosman, Igor Gilitschenski, Brandon Araki, Cristian-Ioan Vasile, Sertac Karaman, Daniela Rus |
Learning an Explainable Trajectory Generator Using the Automaton Generative Network (AGN). |
IEEE Robotics Autom. Lett. |
2022 |
DBLP DOI BibTeX RDF |
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33 | Chuan Tian, C. Megan Urry, Aritra Ghosh 0003, Ryan Ofman, Tonima Tasnim Ananna, Connor Auge, Nico Cappelluti, Meredith C. Powell, David B. Sanders, Kevin Schawinski, Dominic Stark, Grant R. Tremblay |
Using Machine Learning to Determine Morphologies of z<1 AGN Host Galaxies in the Hyper Suprime-Cam Wide Survey. |
CoRR |
2022 |
DBLP DOI BibTeX RDF |
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33 | Stelios Louka, Christos K. Kourtellaris, Charalambos D. Charalambous |
Feedback Capacity Formulas of AGN Channels Driven by Nonstationary Autoregressive Moving Average Noise. |
CoRR |
2021 |
DBLP BibTeX RDF |
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33 | Stelios Louka, Christos K. Kourtellaris, Charalambos D. Charalambous |
Qualitative Analysis of Feedback Capacity of AGN Channels Driven by Unstable Versus Stable Autoregressive Moving Average Noise. |
ITW |
2021 |
DBLP DOI BibTeX RDF |
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33 | Charalambos D. Charalambous, Christos K. Kourtellaris, Stelios Louka |
New Formulas of Feedback Capacity for AGN Channels with Memory: A Time-Domain Sufficient Statistic Approach. |
CoRR |
2020 |
DBLP BibTeX RDF |
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33 | Christos K. Kourtellaris, Charalambos D. Charalambous, Sergey Loyka |
From Feedback Capacity to Tight Achievable Rates without Feedback for AGN Channels with Stable and Unstable Autoregressive Noise. |
ISIT |
2020 |
DBLP DOI BibTeX RDF |
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33 | Christos K. Kourtellaris, Charalambos D. Charalambous, Sergey Loyka |
New Formulas of Ergodic Feedback Capacity of AGN Channels Driven by Stable and Unstable Autoregressive Noise. |
ISIT |
2020 |
DBLP DOI BibTeX RDF |
|
33 | Yanze Huang, Limei Lin, Li Xu 0002, Xiaoding Wang |
Extra diagnosability and good-neighbor diagnosability of n-dimensional alternating group graph AGn under the PMC model. |
Theor. Comput. Sci. |
2019 |
DBLP DOI BibTeX RDF |
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33 | Charalambos D. Charalambous, Christos K. Kourtellaris, Sergey Loyka |
Time-Invariant Feedback Strategies Do Not Increase Capacity of AGN Channels Driven by Stable and Certain Unstable Autoregressive Noise. |
CoRR |
2019 |
DBLP BibTeX RDF |
|
33 | Michael Fauß, Abdelhak M. Zoubir, Alex Dytso, H. Vincent Poor |
Tight MMSE Bounds for the AGN Channel Under KL Divergence Constraints on the Input Distribution. |
SSP |
2018 |
DBLP DOI BibTeX RDF |
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33 | Salvatore Cielo |
Numerical Models of AGN Jet Feedback (PDF / PS) |
|
2015 |
RDF |
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25 | Fabrício Martins Lopes, Evaldo Araújo de Oliveira, Roberto M. Cesar |
Analysis of the GRNs Inference by Using Tsallis Entropy and a Feature Selection Approach. |
CIARP |
2009 |
DBLP DOI BibTeX RDF |
feature selection, bioinformatics, validation, inference, gene regulatory networks, Tsallis entropy |
25 | Zhifei Fan, Louis L. Scharf, John A. Gubner |
Analog Precoder and Equalizer Designs and their Geometry for Multichannel Communication. |
IEEE Trans. Wirel. Commun. |
2008 |
DBLP DOI BibTeX RDF |
|
25 | Joaquín Míguez, Luis Castedo |
Maximum Likelihood Unsupervised Source Separation in Gaussian Noise. |
J. VLSI Signal Process. |
2002 |
DBLP DOI BibTeX RDF |
multiple-input multiple-output channel estimation, EM algorithm, Monte Carlo methods, maximum likelihood, blind source separation |
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