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@article{DBLP:journals/tnn/GrecovPACSLB24,
author = {Priscila Grecov and
Ankitha Nandipura Prasanna and
Klaus Ackermann and
Sam Campbell and
Deborah A. Scott and
Dan I. Lubman and
Christoph Bergmeir},
title = {Probabilistic Causal Effect Estimation With Global Neural Network
Forecasting Models},
journal = {{IEEE} Trans. Neural Networks Learn. Syst.},
volume = {35},
number = {4},
pages = {4999--5013},
year = {2024},
url = {https://doi.org/10.1109/TNNLS.2022.3190984},
doi = {10.1109/TNNLS.2022.3190984},
timestamp = {Mon, 15 Apr 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/tnn/GrecovPACSLB24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/tnn/SuSLZZ24,
author = {Ke Su and
Hang Su and
Chongxuan Li and
Jun Zhu and
Bo Zhang},
title = {Probabilistic Neural-Symbolic Models With Inductive Posterior Constraints},
journal = {{IEEE} Trans. Neural Networks Learn. Syst.},
volume = {35},
number = {2},
pages = {2667--2679},
year = {2024},
url = {https://doi.org/10.1109/TNNLS.2022.3190820},
doi = {10.1109/TNNLS.2022.3190820},
timestamp = {Thu, 29 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/tnn/SuSLZZ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/amc/DengSSV24,
author = {Jifei Deng and
Seppo A. Sierla and
Jie Sun and
Valeriy Vyatkin},
title = {Dynamic Modeling of Strip Rolling Process Using Probabilistic Neural
Network},
booktitle = {18th {IEEE} International Conference on Advanced Motion Control, {AMC}
2024, Kyoto, Japan, February 28 - March 1, 2024},
pages = {1--6},
publisher = {{IEEE}},
year = {2024},
url = {https://doi.org/10.1109/AMC58169.2024.10505655},
doi = {10.1109/AMC58169.2024.10505655},
timestamp = {Thu, 02 May 2024 22:05:02 +0200},
biburl = {https://dblp.org/rec/conf/amc/DengSSV24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2402-13945,
author = {Farhad Pourkamali{-}Anaraki and
Jamal F. Husseini and
Scott E. Stapleton},
title = {Probabilistic Neural Networks (PNNs) for Modeling Aleatoric Uncertainty
in Scientific Machine Learning},
journal = {CoRR},
volume = {abs/2402.13945},
year = {2024},
url = {https://doi.org/10.48550/arXiv.2402.13945},
doi = {10.48550/ARXIV.2402.13945},
eprinttype = {arXiv},
eprint = {2402.13945},
timestamp = {Fri, 22 Mar 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2402-13945.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/apin/QiuWZX23,
author = {Yilei Qiu and
Shunzhen Wang and
Shuai Zhang and
Jiyuan Xu},
title = {A novel gated dual convolutional neural network model with autoregressive
method and attention mechanism for probabilistic load forecasting},
journal = {Appl. Intell.},
volume = {53},
number = {17},
pages = {20256--20271},
year = {2023},
url = {https://doi.org/10.1007/s10489-023-04589-2},
doi = {10.1007/S10489-023-04589-2},
timestamp = {Mon, 05 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/apin/QiuWZX23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/cacie/OlivierMSA23,
author = {Audrey Olivier and
Sevin Mohammadi and
Andrew W. Smyth and
Matt Adams},
title = {Bayesian neural networks with physics-aware regularization for probabilistic
travel time modeling},
journal = {Comput. Aided Civ. Infrastructure Eng.},
volume = {38},
number = {18},
pages = {2614--2631},
year = {2023},
url = {https://doi.org/10.1111/mice.13047},
doi = {10.1111/MICE.13047},
timestamp = {Fri, 22 Mar 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/cacie/OlivierMSA23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jimaging/YadavKKCAKSGIPNST23,
author = {Arun Singh Yadav and
Surendra Kumar and
Girija Rani Karetla and
Juan Carlos Cotrina{-}Aliaga and
Jos{\'{e}} Luis Arias{-}Gonz{\'{a}}les and
Vinod Kumar and
Satyajee Srivastava and
Reena Gupta and
Sufyan Ibrahim and
Rahul Paul and
Nithesh Naik and
Babita Singla and
Nisha S. Tatkar},
title = {A Feature Extraction Using Probabilistic Neural Network and BTFSC-Net
Model with Deep Learning for Brain Tumor Classification},
journal = {J. Imaging},
volume = {9},
number = {1},
pages = {10},
year = {2023},
url = {https://doi.org/10.3390/jimaging9010010},
doi = {10.3390/JIMAGING9010010},
timestamp = {Sat, 30 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jimaging/YadavKKCAKSGIPNST23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/tnn/GanSLY23,
author = {Ziyu Gan and
Wei Sun and
Kaimin Liao and
Xuan Yang},
title = {Probabilistic Modeling for Image Registration Using Radial Basis Functions:
Application to Cardiac Motion Estimation},
journal = {{IEEE} Trans. Neural Networks Learn. Syst.},
volume = {34},
number = {10},
pages = {7324--7338},
year = {2023},
url = {https://doi.org/10.1109/TNNLS.2022.3141119},
doi = {10.1109/TNNLS.2022.3141119},
timestamp = {Wed, 01 Nov 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/tnn/GanSLY23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/tnn/LouJSWL23,
author = {Jungang Lou and
Yunliang Jiang and
Qing Shen and
Ruiqin Wang and
Zechao Li},
title = {Probabilistic Regularized Extreme Learning for Robust Modeling of
Traffic Flow Forecasting},
journal = {{IEEE} Trans. Neural Networks Learn. Syst.},
volume = {34},
number = {4},
pages = {1732--1741},
year = {2023},
url = {https://doi.org/10.1109/TNNLS.2020.3027822},
doi = {10.1109/TNNLS.2020.3027822},
timestamp = {Mon, 28 Aug 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/tnn/LouJSWL23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/iclr/WangS23,
author = {Xiaoqi Wang and
Han{-}Wei Shen},
title = {GNNInterpreter: {A} Probabilistic Generative Model-Level Explanation
for Graph Neural Networks},
booktitle = {The Eleventh International Conference on Learning Representations,
{ICLR} 2023, Kigali, Rwanda, May 1-5, 2023},
publisher = {OpenReview.net},
year = {2023},
url = {https://openreview.net/pdf?id=rqq6Dh8t4d},
timestamp = {Fri, 30 Jun 2023 14:38:38 +0200},
biburl = {https://dblp.org/rec/conf/iclr/WangS23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/igarss/PastorinoMSZ23,
author = {Martina Pastorino and
Gabriele Moser and
Sebastiano B. Serpico and
Josiane Zerubia},
title = {Classification of Multimission {SAR} Images Based on Probabilistic
Graphical Models and Convolutional Neural Networks},
booktitle = {{IEEE} International Geoscience and Remote Sensing Symposium, {IGARSS}
2023, Pasadena, CA, USA, July 16-21, 2023},
pages = {1420--1423},
publisher = {{IEEE}},
year = {2023},
url = {https://doi.org/10.1109/IGARSS52108.2023.10283356},
doi = {10.1109/IGARSS52108.2023.10283356},
timestamp = {Mon, 05 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/igarss/PastorinoMSZ23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2301-10536,
author = {Jiayuan Chen and
Xiang Zhang and
Yinfei Xu and
Tianli Zhao and
Renjie Xie and
Wei Xu},
title = {Understanding and Improving Deep Graph Neural Networks: {A} Probabilistic
Graphical Model Perspective},
journal = {CoRR},
volume = {abs/2301.10536},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2301.10536},
doi = {10.48550/ARXIV.2301.10536},
eprinttype = {arXiv},
eprint = {2301.10536},
timestamp = {Sun, 23 Jul 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2301-10536.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2305-12148,
author = {Man Yao and
Yuhong Chou and
Guangshe Zhao and
Xiawu Zheng and
Yonghong Tian and
Bo Xu and
Guoqi Li},
title = {Probabilistic Modeling: Proving the Lottery Ticket Hypothesis in Spiking
Neural Network},
journal = {CoRR},
volume = {abs/2305.12148},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2305.12148},
doi = {10.48550/ARXIV.2305.12148},
eprinttype = {arXiv},
eprint = {2305.12148},
timestamp = {Tue, 11 Jul 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2305-12148.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2305-17583,
author = {Boyao Li and
Alexandar J. Thomson and
Matthew M. Engelhard and
David Page},
title = {On Neural Networks as Infinite Tree-Structured Probabilistic Graphical
Models},
journal = {CoRR},
volume = {abs/2305.17583},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2305.17583},
doi = {10.48550/ARXIV.2305.17583},
eprinttype = {arXiv},
eprint = {2305.17583},
timestamp = {Tue, 06 Jun 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2305-17583.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@phdthesis{DBLP:phd/hal/Azeraf22,
author = {Elie Azeraf},
title = {Classification avec des mod{\`{e}}les probabilistes g{\'{e}}n{\'{e}}ratifs
et des r{\'{e}}seaux de neurones. Applications au traitement
des langues naturelles. (Classification with generative probabilistic
models and neural networks. Applications to natural language processing)},
school = {Polytechnic Institute of Paris, Palaiseau, France},
year = {2022},
url = {https://tel.archives-ouvertes.fr/tel-03880848},
timestamp = {Wed, 14 Dec 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/phd/hal/Azeraf22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/access/WangWZ22,
author = {Cui Wang and
Xuedong Wang and
Yongdong Zhu},
title = {Hazard Assessment of Debris Flow Based on Infinite Irrelevance Method
and Probabilistic Neural Network Coupling Model},
journal = {{IEEE} Access},
volume = {10},
pages = {36823--36833},
year = {2022},
url = {https://doi.org/10.1109/ACCESS.2022.3162597},
doi = {10.1109/ACCESS.2022.3162597},
timestamp = {Wed, 27 Apr 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/access/WangWZ22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/es/ForoughM22,
author = {Javad Forough and
Saeedeh Momtazi},
title = {Sequential credit card fraud detection: {A} joint deep neural network
and probabilistic graphical model approach},
journal = {Expert Syst. J. Knowl. Eng.},
volume = {39},
number = {1},
year = {2022},
url = {https://doi.org/10.1111/exsy.12795},
doi = {10.1111/EXSY.12795},
timestamp = {Fri, 21 Jan 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/es/ForoughM22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/ijmic/ChenZ22,
author = {Jun Chen and
Junhui Zhao},
title = {Generating synthetic wind speed scenarios using artificial neural
networks for probabilistic analysis of hybrid energy systems},
journal = {Int. J. Model. Identif. Control.},
volume = {41},
number = {3},
pages = {183--192},
year = {2022},
url = {https://doi.org/10.1504/IJMIC.2022.10052623},
doi = {10.1504/IJMIC.2022.10052623},
timestamp = {Wed, 22 Mar 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/ijmic/ChenZ22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jcns/ErsozCKL22,
author = {Elif K{\"{o}}ksal Ers{\"{o}}z and
Pascal Chossat and
Martin Krupa and
Fr{\'{e}}d{\'{e}}ric Lavigne},
title = {Dynamic branching in a neural network model for probabilistic prediction
of sequences},
journal = {J. Comput. Neurosci.},
volume = {50},
number = {4},
pages = {537--557},
year = {2022},
url = {https://doi.org/10.1007/s10827-022-00830-y},
doi = {10.1007/S10827-022-00830-Y},
timestamp = {Sat, 30 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jcns/ErsozCKL22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/nn/MoriYWSTI22,
author = {Keita Mori and
Naohiro Yamauchi and
Haoyu Wang and
Ken Sato and
Yu Toyoshima and
Yuichi Iino},
title = {Probabilistic generative modeling and reinforcement learning extract
the intrinsic features of animal behavior},
journal = {Neural Networks},
volume = {145},
pages = {107--120},
year = {2022},
url = {https://doi.org/10.1016/j.neunet.2021.10.002},
doi = {10.1016/J.NEUNET.2021.10.002},
timestamp = {Fri, 13 May 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/nn/MoriYWSTI22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/nn/TaniguchiFY22,
author = {Akira Taniguchi and
Ayako Fukawa and
Hiroshi Yamakawa},
title = {Hippocampal formation-inspired probabilistic generative model},
journal = {Neural Networks},
volume = {151},
pages = {317--335},
year = {2022},
url = {https://doi.org/10.1016/j.neunet.2022.04.001},
doi = {10.1016/J.NEUNET.2022.04.001},
timestamp = {Wed, 27 Jul 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/nn/TaniguchiFY22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/nn/TaniguchiYNDSSN22,
author = {Tadahiro Taniguchi and
Hiroshi Yamakawa and
Takayuki Nagai and
Kenji Doya and
Masamichi Sakagami and
Masahiro Suzuki and
Tomoaki Nakamura and
Akira Taniguchi},
title = {A whole brain probabilistic generative model: Toward realizing cognitive
architectures for developmental robots},
journal = {Neural Networks},
volume = {150},
pages = {293--312},
year = {2022},
url = {https://doi.org/10.1016/j.neunet.2022.02.026},
doi = {10.1016/J.NEUNET.2022.02.026},
timestamp = {Fri, 13 May 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/nn/TaniguchiYNDSSN22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/sncs/KciukBS22,
author = {Marek Kciuk and
Tomasz Bijok and
Grazia Lo Sciuto},
title = {Design and Modeling of Intelligent Building Office and Thermal Comfort
Based on Probabilistic Neural Network},
journal = {{SN} Comput. Sci.},
volume = {3},
number = {6},
pages = {485},
year = {2022},
url = {https://doi.org/10.1007/s42979-022-01411-7},
doi = {10.1007/S42979-022-01411-7},
timestamp = {Sun, 13 Nov 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/sncs/KciukBS22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/tgrs/LiuZLX22,
author = {Jia Liu and
Wenhua Zhang and
Fang Liu and
Liang Xiao},
title = {A Probabilistic Model Based on Bipartite Convolutional Neural Network
for Unsupervised Change Detection},
journal = {{IEEE} Trans. Geosci. Remote. Sens.},
volume = {60},
pages = {1--14},
year = {2022},
url = {https://doi.org/10.1109/TGRS.2021.3071347},
doi = {10.1109/TGRS.2021.3071347},
timestamp = {Wed, 08 Nov 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/tgrs/LiuZLX22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/tgrs/PastorinoMSZ22,
author = {Martina Pastorino and
Gabriele Moser and
Sebastiano B. Serpico and
Josiane Zerubia},
title = {Semantic Segmentation of Remote-Sensing Images Through Fully Convolutional
Neural Networks and Hierarchical Probabilistic Graphical Models},
journal = {{IEEE} Trans. Geosci. Remote. Sens.},
volume = {60},
pages = {1--16},
year = {2022},
url = {https://doi.org/10.1109/tgrs.2022.3141996},
doi = {10.1109/TGRS.2022.3141996},
timestamp = {Wed, 17 May 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/tgrs/PastorinoMSZ22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/tnn/ChaiZHC22,
author = {Zheng Chai and
Chunhui Zhao and
Biao Huang and
Hongtian Chen},
title = {A Deep Probabilistic Transfer Learning Framework for Soft Sensor Modeling
With Missing Data},
journal = {{IEEE} Trans. Neural Networks Learn. Syst.},
volume = {33},
number = {12},
pages = {7598--7609},
year = {2022},
url = {https://doi.org/10.1109/TNNLS.2021.3085869},
doi = {10.1109/TNNLS.2021.3085869},
timestamp = {Thu, 16 Nov 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/tnn/ChaiZHC22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/tnn/WangCZL22,
author = {Zhengjue Wang and
Bo Chen and
Hao Zhang and
Hongwei Liu},
title = {Unsupervised Hyperspectral and Multispectral Images Fusion Based on
Nonlinear Variational Probabilistic Generative Model},
journal = {{IEEE} Trans. Neural Networks Learn. Syst.},
volume = {33},
number = {2},
pages = {721--735},
year = {2022},
url = {https://doi.org/10.1109/TNNLS.2020.3028772},
doi = {10.1109/TNNLS.2020.3028772},
timestamp = {Wed, 16 Mar 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/tnn/WangCZL22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/amcc/BaoCMV22,
author = {Yajie Bao and
Kimberly J. Chan and
Ali Mesbah and
Javad Mohammadpour Velni},
title = {Learning-based Adaptive-Scenario-Tree Model Predictive Control with
Probabilistic Safety Guarantees Using Bayesian Neural Networks},
booktitle = {American Control Conference, {ACC} 2022, Atlanta, GA, USA, June 8-10,
2022},
pages = {3260--3265},
publisher = {{IEEE}},
year = {2022},
url = {https://doi.org/10.23919/ACC53348.2022.9867798},
doi = {10.23919/ACC53348.2022.9867798},
timestamp = {Mon, 06 Nov 2023 12:57:51 +0100},
biburl = {https://dblp.org/rec/conf/amcc/BaoCMV22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/eusipco/WangOV22,
author = {Xinjue Wang and
Esa Ollila and
Sergiy A. Vorobyov},
title = {Graph Neural Network Sensitivity Under Probabilistic Error Model},
booktitle = {30th European Signal Processing Conference, {EUSIPCO} 2022, Belgrade,
Serbia, August 29 - Sept. 2, 2022},
pages = {2146--2150},
publisher = {{IEEE}},
year = {2022},
url = {https://ieeexplore.ieee.org/document/9909740},
timestamp = {Tue, 25 Oct 2022 21:20:45 +0200},
biburl = {https://dblp.org/rec/conf/eusipco/WangOV22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2203-07831,
author = {Xinjue Wang and
Esa Ollila and
Sergiy A. Vorobyov},
title = {Graph Neural Network Sensitivity Under Probabilistic Error Model},
journal = {CoRR},
volume = {abs/2203.07831},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2203.07831},
doi = {10.48550/ARXIV.2203.07831},
eprinttype = {arXiv},
eprint = {2203.07831},
timestamp = {Wed, 30 Mar 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2203-07831.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2204-09640,
author = {Madhurima Panja and
Uttam Kumar and
Tanujit Chakraborty},
title = {An Interpretable Probabilistic Autoregressive Neural Network Model
for Time Series Forecasting},
journal = {CoRR},
volume = {abs/2204.09640},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2204.09640},
doi = {10.48550/ARXIV.2204.09640},
eprinttype = {arXiv},
eprint = {2204.09640},
timestamp = {Mon, 25 Apr 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2204-09640.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2206-06089,
author = {Chenqing Hua},
title = {Graph Neural Networks Intersect Probabilistic Graphical Models: {A}
Survey},
journal = {CoRR},
volume = {abs/2206.06089},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2206.06089},
doi = {10.48550/ARXIV.2206.06089},
eprinttype = {arXiv},
eprint = {2206.06089},
timestamp = {Mon, 20 Jun 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2206-06089.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2209-07924,
author = {Xiaoqi Wang and
Han{-}Wei Shen},
title = {GNNInterpreter: {A} Probabilistic Generative Model-Level Explanation
for Graph Neural Networks},
journal = {CoRR},
volume = {abs/2209.07924},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2209.07924},
doi = {10.48550/ARXIV.2209.07924},
eprinttype = {arXiv},
eprint = {2209.07924},
timestamp = {Tue, 27 Sep 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2209-07924.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2211-13231,
author = {Kishan K. C. and
Rui Li and
Paribesh Regmi and
Anne R. Haake},
title = {Predicting Biomedical Interactions with Probabilistic Model Selection
for Graph Neural Networks},
journal = {CoRR},
volume = {abs/2211.13231},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2211.13231},
doi = {10.48550/ARXIV.2211.13231},
eprinttype = {arXiv},
eprint = {2211.13231},
timestamp = {Sat, 27 May 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2211-13231.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/access/Loschenbrand21,
author = {Markus L{\"{o}}schenbrand},
title = {A Temporal Neural Network Model for Probabilistic Multi-Period Forecasting
of Distributed Energy Resources},
journal = {{IEEE} Access},
volume = {9},
pages = {147029--147041},
year = {2021},
url = {https://doi.org/10.1109/ACCESS.2021.3121988},
doi = {10.1109/ACCESS.2021.3121988},
timestamp = {Wed, 15 Dec 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/access/Loschenbrand21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/entropy/MasegosaCLNS21,
author = {Andr{\'{e}}s R. Masegosa and
Rafael Caba{\~{n}}as and
Helge Langseth and
Thomas D. Nielsen and
Antonio Salmer{\'{o}}n},
title = {Probabilistic Models with Deep Neural Networks},
journal = {Entropy},
volume = {23},
number = {1},
pages = {117},
year = {2021},
url = {https://doi.org/10.3390/e23010117},
doi = {10.3390/E23010117},
timestamp = {Fri, 03 Mar 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/entropy/MasegosaCLNS21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/tnn/ZhouLZT21,
author = {Fan Zhou and
Xin Liu and
Kunpeng Zhang and
Goce Trajcevski},
title = {Toward Discriminating and Synthesizing Motion Traces Using Deep Probabilistic
Generative Models},
journal = {{IEEE} Trans. Neural Networks Learn. Syst.},
volume = {32},
number = {6},
pages = {2401--2414},
year = {2021},
url = {https://doi.org/10.1109/TNNLS.2020.3005325},
doi = {10.1109/TNNLS.2020.3005325},
timestamp = {Sat, 31 Jul 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/tnn/ZhouLZT21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/eusipco/PastorinoMSZ21,
author = {Martina Pastorino and
Gabriele Moser and
Sebastiano B. Serpico and
Josiane Zerubia},
title = {Hierarchical Probabilistic Graphical Models and Deep Convolutional
Neural Networks for Remote Sensing Image Classification},
booktitle = {29th European Signal Processing Conference, {EUSIPCO} 2021, Dublin,
Ireland, August 23-27, 2021},
pages = {1740--1744},
publisher = {{IEEE}},
year = {2021},
url = {https://doi.org/10.23919/EUSIPCO54536.2021.9616179},
doi = {10.23919/EUSIPCO54536.2021.9616179},
timestamp = {Mon, 26 Jun 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/eusipco/PastorinoMSZ21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/igarss/PastorinoMSZ21,
author = {Martina Pastorino and
Gabriele Moser and
Sebastiano B. Serpico and
Josiane Zerubia},
title = {Semantic Segmentation of Remote Sensing Images Combining Hierarchical
Probabilistic Graphical Models and Deep Convolutional Neural Networks},
booktitle = {{IEEE} International Geoscience and Remote Sensing Symposium, {IGARSS}
2021, Brussels, Belgium, July 11-16, 2021},
pages = {8672--8675},
publisher = {{IEEE}},
year = {2021},
url = {https://doi.org/10.1109/IGARSS47720.2021.9553253},
doi = {10.1109/IGARSS47720.2021.9553253},
timestamp = {Mon, 26 Jun 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/igarss/PastorinoMSZ21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/wsdm/LiLC21,
author = {Qinghua Li and
Cuiping Li and
Hong Chen},
editor = {Liane Lewin{-}Eytan and
David Carmel and
Elad Yom{-}Tov and
Eugene Agichtein and
Evgeniy Gabrilovich},
title = {Filter Pruning via Probabilistic Model-based Optimization for Accelerating
Deep Convolutional Neural Networks},
booktitle = {{WSDM} '21, The Fourteenth {ACM} International Conference on Web Search
and Data Mining, Virtual Event, Israel, March 8-12, 2021},
pages = {653--661},
publisher = {{ACM}},
year = {2021},
url = {https://doi.org/10.1145/3437963.3441766},
doi = {10.1145/3437963.3441766},
timestamp = {Tue, 10 Aug 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/wsdm/LiLC21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2106-00120,
author = {Daniel T. Chang},
title = {Probabilistic Deep Learning with Probabilistic Neural Networks and
Deep Probabilistic Models},
journal = {CoRR},
volume = {abs/2106.00120},
year = {2021},
url = {https://arxiv.org/abs/2106.00120},
eprinttype = {arXiv},
eprint = {2106.00120},
timestamp = {Wed, 09 Jun 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2106-00120.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2109-13235,
author = {Michael Stalder and
Firat Ozdemir and
Artur Safin and
Jonas Sukys and
Damien Bouffard and
Fernando P{\'{e}}rez{-}Cruz},
title = {Probabilistic modeling of lake surface water temperature using a Bayesian
spatio-temporal graph convolutional neural network},
journal = {CoRR},
volume = {abs/2109.13235},
year = {2021},
url = {https://arxiv.org/abs/2109.13235},
eprinttype = {arXiv},
eprint = {2109.13235},
timestamp = {Wed, 01 Mar 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2109-13235.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@phdthesis{DBLP:phd/dnb/Drude20,
author = {Lukas Drude},
title = {Integration of neural networks and probabilistic spatial models for
acoustic blind source separation},
school = {University of Paderborn, Germany},
year = {2020},
url = {https://nbn-resolving.org/urn:nbn:de:hbz:466:2-38332},
urn = {urn:nbn:de:hbz:466:2-38332},
timestamp = {Sat, 17 Jul 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/phd/dnb/Drude20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/access/ZhuAAASS20,
author = {Honglu Zhu and
Sayed Ahmed Zaki Ahmed and
Mohammed Ahmed Alfakih and
Mohamed Abdelkarim Abdelbaky and
Ahmed Rabee Sayed and
Mubaarak Abdulrahman Abdu Saif},
title = {Photovoltaic Failure Diagnosis Using Sequential Probabilistic Neural
Network Model},
journal = {{IEEE} Access},
volume = {8},
pages = {220507--220522},
year = {2020},
url = {https://doi.org/10.1109/ACCESS.2020.3043129},
doi = {10.1109/ACCESS.2020.3043129},
timestamp = {Mon, 04 Jan 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/access/ZhuAAASS20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/ijon/CozarCSM20,
author = {Javier C{\'{o}}zar and
Rafael Caba{\~{n}}as and
Antonio Salmer{\'{o}}n and
Andr{\'{e}}s R. Masegosa},
title = {InferPy: Probabilistic modeling with deep neural networks made easy},
journal = {Neurocomputing},
volume = {415},
pages = {408--410},
year = {2020},
url = {https://doi.org/10.1016/j.neucom.2020.07.117},
doi = {10.1016/J.NEUCOM.2020.07.117},
timestamp = {Fri, 03 Mar 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/ijon/CozarCSM20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/ijon/MaronasPR20,
author = {Juan Maro{\~{n}}as and
Roberto Paredes and
Daniel Ramos},
title = {Calibration of deep probabilistic models with decoupled bayesian neural
networks},
journal = {Neurocomputing},
volume = {407},
pages = {194--205},
year = {2020},
url = {https://doi.org/10.1016/j.neucom.2020.04.103},
doi = {10.1016/J.NEUCOM.2020.04.103},
timestamp = {Sat, 30 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/ijon/MaronasPR20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/tcyb/ChengPCQ20,
author = {Jun Cheng and
Ju H. Park and
Jinde Cao and
Wenhai Qi},
title = {Hidden Markov Model-Based Nonfragile State Estimation of Switched
Neural Network With Probabilistic Quantized Outputs},
journal = {{IEEE} Trans. Cybern.},
volume = {50},
number = {5},
pages = {1900--1909},
year = {2020},
url = {https://doi.org/10.1109/TCYB.2019.2909748},
doi = {10.1109/TCYB.2019.2909748},
timestamp = {Sat, 30 May 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/tcyb/ChengPCQ20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/tnn/ZhangWLG20,
author = {Mingjin Zhang and
Nannan Wang and
Yunsong Li and
Xinbo Gao},
title = {Neural Probabilistic Graphical Model for Face Sketch Synthesis},
journal = {{IEEE} Trans. Neural Networks Learn. Syst.},
volume = {31},
number = {7},
pages = {2623--2637},
year = {2020},
url = {https://doi.org/10.1109/TNNLS.2019.2933590},
doi = {10.1109/TNNLS.2019.2933590},
timestamp = {Mon, 20 Sep 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/tnn/ZhangWLG20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icisdm/VaidaP20,
author = {Maria Vaida and
Pranita Patil},
title = {Semi-Supervised Graph Neural Network with Probabilistic Modeling to
Mitigate Uncertainty},
booktitle = {{ICISDM} 2020: The 4th International Conference on Information System
and Data Mining, Hawaii, HI, USA, May 15-17, 2020},
pages = {152--156},
publisher = {{ACM}},
year = {2020},
url = {https://doi.org/10.1145/3404663.3404680},
doi = {10.1145/3404663.3404680},
timestamp = {Thu, 23 Jun 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icisdm/VaidaP20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/VuT20,
author = {Minh N. Vu and
My T. Thai},
editor = {Hugo Larochelle and
Marc'Aurelio Ranzato and
Raia Hadsell and
Maria{-}Florina Balcan and
Hsuan{-}Tien Lin},
title = {PGM-Explainer: Probabilistic Graphical Model Explanations for Graph
Neural Networks},
booktitle = {Advances in Neural Information Processing Systems 33: Annual Conference
on Neural Information Processing Systems 2020, NeurIPS 2020, December
6-12, 2020, virtual},
year = {2020},
url = {https://proceedings.neurips.cc/paper/2020/hash/8fb134f258b1f7865a6ab2d935a897c9-Abstract.html},
timestamp = {Tue, 19 Jan 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nips/VuT20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/pgm/CabanasCSM20,
author = {Rafael Caba{\~{n}}as and
Javier C{\'{o}}zar and
Antonio Salmer{\'{o}}n and
Andr{\'{e}}s R. Masegosa},
editor = {Manfred Jaeger and
Thomas Dyhre Nielsen},
title = {Probabilistic Graphical Models with Neural Networks in InferPy},
booktitle = {International Conference on Probabilistic Graphical Models, {PGM}
2020, 23-25 September 2020, Aalborg, Hotel Comwell Rebild Bakker,
Sk{\o}rping, Denmark},
series = {Proceedings of Machine Learning Research},
volume = {138},
pages = {601--604},
publisher = {{PMLR}},
year = {2020},
url = {http://proceedings.mlr.press/v138/cabanas20b.html},
timestamp = {Fri, 03 Mar 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/pgm/CabanasCSM20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/ucc/SaleemYKA20,
author = {Rabia Saleem and
Bo Yuan and
Fatih Kurugollu and
Ashiq Anjum},
title = {Explaining probabilistic Artificial Intelligence {(AI)} models by
discretizing Deep Neural Networks},
booktitle = {13th {IEEE/ACM} International Conference on Utility and Cloud Computing,
{UCC} 2020, Leicester, United Kingdom, December 7-10, 2020},
pages = {446--448},
publisher = {{IEEE}},
year = {2020},
url = {https://doi.org/10.1109/UCC48980.2020.00070},
doi = {10.1109/UCC48980.2020.00070},
timestamp = {Thu, 14 Oct 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/ucc/SaleemYKA20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2009-00234,
author = {Ukachi Osisiogu},
title = {Semantic Sentiment Analysis Based on Probabilistic Graphical Models
and Recurrent Neural Network},
journal = {CoRR},
volume = {abs/2009.00234},
year = {2020},
url = {https://arxiv.org/abs/2009.00234},
eprinttype = {arXiv},
eprint = {2009.00234},
timestamp = {Wed, 16 Sep 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2009-00234.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2010-05788,
author = {Minh N. Vu and
My T. Thai},
title = {PGM-Explainer: Probabilistic Graphical Model Explanations for Graph
Neural Networks},
journal = {CoRR},
volume = {abs/2010.05788},
year = {2020},
url = {https://arxiv.org/abs/2010.05788},
eprinttype = {arXiv},
eprint = {2010.05788},
timestamp = {Tue, 20 Oct 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2010-05788.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@phdthesis{DBLP:phd/basesearch/Zhong19,
author = {Zilong Zhong},
title = {Spectral-Spatial Neural Networks and Probabilistic Graph Models for
Hyperspectral Image Classification},
school = {University of Waterloo, Ontario, Canada},
year = {2019},
url = {https://hdl.handle.net/10012/14893},
timestamp = {Wed, 04 May 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/phd/basesearch/Zhong19.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/access/LinC19b,
author = {Jyh{-}Woei Lin and
Juing{-}Shian Chiou},
title = {Active Probability Backpropagation Neural Network Model for Monthly
Prediction of Probabilistic Seismic Hazard Analysis in Taiwan},
journal = {{IEEE} Access},
volume = {7},
pages = {108990--109014},
year = {2019},
url = {https://doi.org/10.1109/ACCESS.2019.2932991},
doi = {10.1109/ACCESS.2019.2932991},
timestamp = {Thu, 05 Sep 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/access/LinC19b.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/apin/LiuXF19,
author = {Kun Liu and
Shaohua Xu and
Naidan Feng},
title = {A radial basis probabilistic process neural network model and corresponding
classification algorithm},
journal = {Appl. Intell.},
volume = {49},
number = {6},
pages = {2256--2265},
year = {2019},
url = {https://doi.org/10.1007/s10489-018-1369-x},
doi = {10.1007/S10489-018-1369-X},
timestamp = {Mon, 26 Jun 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/apin/LiuXF19.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/asc/BushehriZ19,
author = {S. M. M. Fatemi Bushehri and
Mohsen Sardari Zarchi},
title = {An expert model for self-care problems classification using probabilistic
neural network and feature selection approach},
journal = {Appl. Soft Comput.},
volume = {82},
year = {2019},
url = {https://doi.org/10.1016/j.asoc.2019.105545},
doi = {10.1016/J.ASOC.2019.105545},
timestamp = {Mon, 23 Sep 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/asc/BushehriZ19.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/ijon/JoudarEE19,
author = {Nour{-}eddine Joudar and
Zakariae En{-}Naimani and
Mohamed Ettaouil},
title = {Using continuous Hopfield neural network for solving a new optimization
architecture model of probabilistic self organizing map},
journal = {Neurocomputing},
volume = {344},
pages = {82--91},
year = {2019},
url = {https://doi.org/10.1016/j.neucom.2018.09.095},
doi = {10.1016/J.NEUCOM.2018.09.095},
timestamp = {Tue, 23 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/ijon/JoudarEE19.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/itc/WangG19,
author = {Benyou Wang and
Li Gu},
title = {Detection of Network Intrusion Threat Based on the Probabilistic Neural
Network Model},
journal = {Inf. Technol. Control.},
volume = {48},
number = {4},
pages = {618--625},
year = {2019},
url = {https://doi.org/10.5755/j01.itc.48.4.24036},
doi = {10.5755/J01.ITC.48.4.24036},
timestamp = {Sun, 13 Aug 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/itc/WangG19.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jstsp/DrudeH19,
author = {Lukas Drude and
Reinhold Haeb{-}Umbach},
title = {Integration of Neural Networks and Probabilistic Spatial Models for
Acoustic Blind Source Separation},
journal = {{IEEE} J. Sel. Top. Signal Process.},
volume = {13},
number = {4},
pages = {815--826},
year = {2019},
url = {https://doi.org/10.1109/JSTSP.2019.2912565},
doi = {10.1109/JSTSP.2019.2912565},
timestamp = {Thu, 09 Jul 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jstsp/DrudeH19.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/nca/DongL19,
author = {Shi Dong and
Ruixuan Li},
title = {Traffic identification method based on multiple probabilistic neural
network model},
journal = {Neural Comput. Appl.},
volume = {31},
number = {2},
pages = {473--487},
year = {2019},
url = {https://doi.org/10.1007/s00521-017-3081-x},
doi = {10.1007/S00521-017-3081-X},
timestamp = {Mon, 09 Oct 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/nca/DongL19.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/nca/SivasankarV19,
author = {E. Sivasankar and
J. Vijaya},
title = {Hybrid {PPFCM-ANN} model: an efficient system for customer churn prediction
through probabilistic possibilistic fuzzy clustering and artificial
neural network},
journal = {Neural Comput. Appl.},
volume = {31},
number = {11},
pages = {7181--7200},
year = {2019},
url = {https://doi.org/10.1007/s00521-018-3548-4},
doi = {10.1007/S00521-018-3548-4},
timestamp = {Thu, 10 Sep 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/nca/SivasankarV19.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/spm/JangSGG19,
author = {Hyeryung Jang and
Osvaldo Simeone and
Brian Gardner and
Andr{\'{e}} Gr{\"{u}}ning},
title = {An Introduction to Probabilistic Spiking Neural Networks: Probabilistic
Models, Learning Rules, and Applications},
journal = {{IEEE} Signal Process. Mag.},
volume = {36},
number = {6},
pages = {64--77},
year = {2019},
url = {https://doi.org/10.1109/MSP.2019.2935234},
doi = {10.1109/MSP.2019.2935234},
timestamp = {Tue, 26 Nov 2019 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/spm/JangSGG19.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/acssc/YoonLXZFUZP19,
author = {KiJung Yoon and
Renjie Liao and
Yuwen Xiong and
Lisa Zhang and
Ethan Fetaya and
Raquel Urtasun and
Richard S. Zemel and
Xaq Pitkow},
editor = {Michael B. Matthews},
title = {Inference in Probabilistic Graphical Models by Graph Neural Networks},
booktitle = {53rd Asilomar Conference on Signals, Systems, and Computers, {ACSCC}
2019, Pacific Grove, CA, USA, November 3-6, 2019},
pages = {868--875},
publisher = {{IEEE}},
year = {2019},
url = {https://doi.org/10.1109/IEEECONF44664.2019.9048920},
doi = {10.1109/IEEECONF44664.2019.9048920},
timestamp = {Tue, 21 Mar 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/acssc/YoonLXZFUZP19.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icann/SaitoS19,
author = {Shota Saito and
Shinichi Shirakawa},
editor = {Igor V. Tetko and
Vera Kurkov{\'{a}} and
Pavel Karpov and
Fabian J. Theis},
title = {Controlling Model Complexity in Probabilistic Model-Based Dynamic
Optimization of Neural Network Structures},
booktitle = {Artificial Neural Networks and Machine Learning - {ICANN} 2019: Deep
Learning - 28th International Conference on Artificial Neural Networks,
Munich, Germany, September 17-19, 2019, Proceedings, Part {II}},
series = {Lecture Notes in Computer Science},
volume = {11728},
pages = {393--405},
publisher = {Springer},
year = {2019},
url = {https://doi.org/10.1007/978-3-030-30484-3\_33},
doi = {10.1007/978-3-030-30484-3\_33},
timestamp = {Sat, 19 Oct 2019 20:11:52 +0200},
biburl = {https://dblp.org/rec/conf/icann/SaitoS19.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
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@inproceedings{DBLP:conf/ijcnn/CasagrandeTZ19,
author = {Fl{\'{a}}via Dias Casagrande and
Jim T{\o}rresen and
Evi Zouganeli},
title = {Comparison of Probabilistic Models and Neural Networks on Prediction
of Home Sensor Events},
booktitle = {International Joint Conference on Neural Networks, {IJCNN} 2019 Budapest,
Hungary, July 14-19, 2019},
pages = {1--8},
publisher = {{IEEE}},
year = {2019},
url = {https://doi.org/10.1109/IJCNN.2019.8851746},
doi = {10.1109/IJCNN.2019.8851746},
timestamp = {Wed, 16 Oct 2019 14:14:55 +0200},
biburl = {https://dblp.org/rec/conf/ijcnn/CasagrandeTZ19.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
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@inproceedings{DBLP:conf/ipmi/CraleyJV19,
author = {Jeff Craley and
Emily Johnson and
Archana Venkataraman},
editor = {Albert C. S. Chung and
James C. Gee and
Paul A. Yushkevich and
Siqi Bao},
title = {Integrating Convolutional Neural Networks and Probabilistic Graphical
Modeling for Epileptic Seizure Detection in Multichannel {EEG}},
booktitle = {Information Processing in Medical Imaging - 26th International Conference,
{IPMI} 2019, Hong Kong, China, June 2-7, 2019, Proceedings},
series = {Lecture Notes in Computer Science},
volume = {11492},
pages = {291--303},
publisher = {Springer},
year = {2019},
url = {https://doi.org/10.1007/978-3-030-20351-1\_22},
doi = {10.1007/978-3-030-20351-1\_22},
timestamp = {Wed, 22 May 2019 11:15:35 +0200},
biburl = {https://dblp.org/rec/conf/ipmi/CraleyJV19.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
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@inproceedings{DBLP:conf/ivs/JonesH19,
author = {Ian Jones and
Kyungtae Han},
title = {Probabilistic Modeling of Vehicle Acceleration and State Propagation
With Long Short-Term Memory Neural Networks},
booktitle = {2019 {IEEE} Intelligent Vehicles Symposium, {IV} 2019, Paris, France,
June 9-12, 2019},
pages = {2236--2242},
publisher = {{IEEE}},
year = {2019},
url = {https://doi.org/10.1109/IVS.2019.8814063},
doi = {10.1109/IVS.2019.8814063},
timestamp = {Wed, 16 Oct 2019 14:14:57 +0200},
biburl = {https://dblp.org/rec/conf/ivs/JonesH19.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
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@article{DBLP:journals/corr/abs-1907-05628,
author = {Vikash Singh and
Pietro Li{\`{o}}},
title = {Towards Probabilistic Generative Models Harnessing Graph Neural Networks
for Disease-Gene Prediction},
journal = {CoRR},
volume = {abs/1907.05628},
year = {2019},
url = {http://arxiv.org/abs/1907.05628},
eprinttype = {arXiv},
eprint = {1907.05628},
timestamp = {Fri, 28 Feb 2020 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-1907-05628.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1907-06341,
author = {Shota Saito and
Shinichi Shirakawa},
title = {Controlling Model Complexity in Probabilistic Model-Based Dynamic
Optimization of Neural Network Structures},
journal = {CoRR},
volume = {abs/1907.06341},
year = {2019},
url = {http://arxiv.org/abs/1907.06341},
eprinttype = {arXiv},
eprint = {1907.06341},
timestamp = {Wed, 17 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1907-06341.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1908-03442,
author = {Andr{\'{e}}s R. Masegosa and
Rafael Caba{\~{n}}as and
Helge Langseth and
Thomas D. Nielsen and
Antonio Salmer{\'{o}}n},
title = {Probabilistic Models with Deep Neural Networks},
journal = {CoRR},
volume = {abs/1908.03442},
year = {2019},
url = {http://arxiv.org/abs/1908.03442},
eprinttype = {arXiv},
eprint = {1908.03442},
timestamp = {Fri, 03 Mar 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-1908-03442.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1908-08972,
author = {Juan Maro{\~{n}}as and
Roberto Paredes and
Daniel Ramos},
title = {Calibration of Deep Probabilistic Models with Decoupled Bayesian Neural
Networks},
journal = {CoRR},
volume = {abs/1908.08972},
year = {2019},
url = {http://arxiv.org/abs/1908.08972},
eprinttype = {arXiv},
eprint = {1908.08972},
timestamp = {Fri, 04 Feb 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-1908-08972.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1908-11161,
author = {Javier C{\'{o}}zar and
Rafael Caba{\~{n}}as and
Andr{\'{e}}s R. Masegosa and
Antonio Salmer{\'{o}}n},
title = {InferPy: Probabilistic Modeling with Deep Neural Networks Made Easy},
journal = {CoRR},
volume = {abs/1908.11161},
year = {2019},
url = {http://arxiv.org/abs/1908.11161},
eprinttype = {arXiv},
eprint = {1908.11161},
timestamp = {Fri, 03 Mar 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-1908-11161.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/ijmic/DiWSKXZB18,
author = {Wei{-}Guo Di and
Mingming Wang and
Xiaoyun Sun and
Feng{-}Ning Kang and
Hui Xing and
Haiqing Zheng and
Jianpeng Bian},
title = {Identification of rock bolt quality based on improved probabilistic
neural network},
journal = {Int. J. Model. Identif. Control.},
volume = {30},
number = {2},
pages = {105--117},
year = {2018},
url = {https://doi.org/10.1504/IJMIC.2018.094206},
doi = {10.1504/IJMIC.2018.094206},
timestamp = {Thu, 17 Sep 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/ijmic/DiWSKXZB18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
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@article{DBLP:journals/sensors/YinZ18,
author = {Tao Yin and
Hong{-}ping Zhu},
title = {Probabilistic Damage Detection of a Steel Truss Bridge Model by Optimally
Designed Bayesian Neural Network},
journal = {Sensors},
volume = {18},
number = {10},
pages = {3371},
year = {2018},
url = {https://doi.org/10.3390/s18103371},
doi = {10.3390/S18103371},
timestamp = {Sat, 30 May 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/sensors/YinZ18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
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@article{DBLP:journals/spm/ArnabZJRLKSRKT18,
author = {Anurag Arnab and
Shuai Zheng and
Sadeep Jayasumana and
Bernardino Romera{-}Paredes and
M{\aa}ns Larsson and
Alexander Kirillov and
Bogdan Savchynskyy and
Carsten Rother and
Fredrik Kahl and
Philip H. S. Torr},
title = {Conditional Random Fields Meet Deep Neural Networks for Semantic Segmentation:
Combining Probabilistic Graphical Models with Deep Learning for Structured
Prediction},
journal = {{IEEE} Signal Process. Mag.},
volume = {35},
number = {1},
pages = {37--52},
year = {2018},
url = {https://doi.org/10.1109/MSP.2017.2762355},
doi = {10.1109/MSP.2017.2762355},
timestamp = {Thu, 25 Jan 2018 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/spm/ArnabZJRLKSRKT18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
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@inproceedings{DBLP:conf/aaai/ShirakawaIA18,
author = {Shinichi Shirakawa and
Yasushi Iwata and
Youhei Akimoto},
editor = {Sheila A. McIlraith and
Kilian Q. Weinberger},
title = {Dynamic Optimization of Neural Network Structures Using Probabilistic
Modeling},
booktitle = {Proceedings of the Thirty-Second {AAAI} Conference on Artificial Intelligence,
(AAAI-18), the 30th innovative Applications of Artificial Intelligence
(IAAI-18), and the 8th {AAAI} Symposium on Educational Advances in
Artificial Intelligence (EAAI-18), New Orleans, Louisiana, USA, February
2-7, 2018},
pages = {4074--4082},
publisher = {{AAAI} Press},
year = {2018},
url = {https://doi.org/10.1609/aaai.v32i1.11683},
doi = {10.1609/AAAI.V32I1.11683},
timestamp = {Mon, 04 Sep 2023 12:29:24 +0200},
biburl = {https://dblp.org/rec/conf/aaai/ShirakawaIA18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
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@inproceedings{DBLP:conf/iclr/YoonLXZFUZP18,
author = {KiJung Yoon and
Renjie Liao and
Yuwen Xiong and
Lisa Zhang and
Ethan Fetaya and
Raquel Urtasun and
Richard S. Zemel and
Xaq Pitkow},
title = {Inference in probabilistic graphical models by Graph Neural Networks},
booktitle = {6th International Conference on Learning Representations, {ICLR} 2018,
Vancouver, BC, Canada, April 30 - May 3, 2018, Workshop Track Proceedings},
publisher = {OpenReview.net},
year = {2018},
url = {https://openreview.net/forum?id=rkN1pF1vz},
timestamp = {Thu, 04 Apr 2019 13:20:09 +0200},
biburl = {https://dblp.org/rec/conf/iclr/YoonLXZFUZP18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
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@inproceedings{DBLP:conf/iros/HigueraMD18,
author = {Juan Camilo Gamboa Higuera and
David Meger and
Gregory Dudek},
title = {Synthesizing Neural Network Controllers with Probabilistic Model-Based
Reinforcement Learning},
booktitle = {2018 {IEEE/RSJ} International Conference on Intelligent Robots and
Systems, {IROS} 2018, Madrid, Spain, October 1-5, 2018},
pages = {2538--2544},
publisher = {{IEEE}},
year = {2018},
url = {https://doi.org/10.1109/IROS.2018.8594018},
doi = {10.1109/IROS.2018.8594018},
timestamp = {Wed, 16 Oct 2019 14:14:51 +0200},
biburl = {https://dblp.org/rec/conf/iros/HigueraMD18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
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author = {Shinichi Shirakawa and
Yasushi Iwata and
Youhei Akimoto},
title = {Dynamic Optimization of Neural Network Structures Using Probabilistic
Modeling},
journal = {CoRR},
volume = {abs/1801.07650},
year = {2018},
url = {http://arxiv.org/abs/1801.07650},
eprinttype = {arXiv},
eprint = {1801.07650},
timestamp = {Mon, 13 Aug 2018 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1801-07650.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
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@article{DBLP:journals/corr/abs-1803-02291,
author = {Juan Camilo Gamboa Higuera and
David Meger and
Gregory Dudek},
title = {Synthesizing Neural Network Controllers with Probabilistic Model based
Reinforcement Learning},
journal = {CoRR},
volume = {abs/1803.02291},
year = {2018},
url = {http://arxiv.org/abs/1803.02291},
eprinttype = {arXiv},
eprint = {1803.02291},
timestamp = {Mon, 13 Aug 2018 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1803-02291.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1803-07710,
author = {KiJung Yoon and
Renjie Liao and
Yuwen Xiong and
Lisa Zhang and
Ethan Fetaya and
Raquel Urtasun and
Richard S. Zemel and
Xaq Pitkow},
title = {Inference in Probabilistic Graphical Models by Graph Neural Networks},
journal = {CoRR},
volume = {abs/1803.07710},
year = {2018},
url = {http://arxiv.org/abs/1803.07710},
eprinttype = {arXiv},
eprint = {1803.07710},
timestamp = {Mon, 13 Aug 2018 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1803-07710.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
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@article{DBLP:journals/corr/abs-1808-08272,
author = {Fangqi Li and
Xu{-}Die Ren and
Hao{-}Nan Guo},
title = {Probabilistic Model of Object Detection Based on Convolutional Neural
Network},
journal = {CoRR},
volume = {abs/1808.08272},
year = {2018},
url = {http://arxiv.org/abs/1808.08272},
eprinttype = {arXiv},
eprint = {1808.08272},
timestamp = {Mon, 03 Sep 2018 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1808-08272.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
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@article{DBLP:journals/ijcisys/WangW17,
author = {Lu Wang and
Chong Wu},
title = {A Combination of Models for Financial Crisis Prediction: Integrating
Probabilistic Neural Network with Back-Propagation based on Adaptive
Boosting},
journal = {Int. J. Comput. Intell. Syst.},
volume = {10},
number = {1},
pages = {507--520},
year = {2017},
url = {https://doi.org/10.2991/ijcis.2017.10.1.35},
doi = {10.2991/IJCIS.2017.10.1.35},
timestamp = {Wed, 07 Dec 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/ijcisys/WangW17.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
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@article{DBLP:journals/jifs/SunWL17,
author = {Qian Sun and
Chong Wu and
Yongli Li},
title = {A new probabilistic neural network model based on backpropagation
algorithm},
journal = {J. Intell. Fuzzy Syst.},
volume = {32},
number = {1},
pages = {215--227},
year = {2017},
url = {https://doi.org/10.3233/JIFS-151415},
doi = {10.3233/JIFS-151415},
timestamp = {Wed, 07 Dec 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/jifs/SunWL17.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
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author = {Hamid Reza Baghaee and
Mojtaba Mirsalim and
Gevork B. Gharehpetian and
Heidar Ali Talebi},
title = {Application of {RBF} neural networks and unscented transformation
in probabilistic power-flow of microgrids including correlated wind/PV
units and plug-in hybrid electric vehicles},
journal = {Simul. Model. Pract. Theory},
volume = {72},
pages = {51--68},
year = {2017},
url = {https://doi.org/10.1016/j.simpat.2016.12.006},
doi = {10.1016/J.SIMPAT.2016.12.006},
timestamp = {Mon, 24 Feb 2020 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/simpra/BaghaeeMGT17.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
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@article{DBLP:journals/tits/MortonWK17,
author = {Jeremy Morton and
Tim Allan Wheeler and
Mykel J. Kochenderfer},
title = {Analysis of Recurrent Neural Networks for Probabilistic Modeling of
Driver Behavior},
journal = {{IEEE} Trans. Intell. Transp. Syst.},
volume = {18},
number = {5},
pages = {1289--1298},
year = {2017},
url = {https://doi.org/10.1109/TITS.2016.2603007},
doi = {10.1109/TITS.2016.2603007},
timestamp = {Sat, 30 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/tits/MortonWK17.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
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@inproceedings{DBLP:conf/csps/LiRG17,
author = {Fangqi Li and
Xu{-}Die Ren and
Hao{-}Nan Guo},
editor = {Qilian Liang and
Jiasong Mu and
Min Jia and
Wei Wang and
Xuhong Feng and
Baoju Zhang},
title = {Probabilistic Model of Object Detection Based on Convolutional Neural
Network},
booktitle = {Communications, Signal Processing, and Systems - Proceedings of the
2017 International Conference on Communications, Signal Processing,
and Systems, {CSPS} 2017, Harbin, China, 14-16 July 2017},
series = {Lecture Notes in Electrical Engineering},
volume = {463},
pages = {2059--2066},
publisher = {Springer},
year = {2017},
url = {https://doi.org/10.1007/978-981-10-6571-2\_251},
doi = {10.1007/978-981-10-6571-2\_251},
timestamp = {Sat, 11 Apr 2020 19:26:33 +0200},
biburl = {https://dblp.org/rec/conf/csps/LiRG17.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
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@inproceedings{DBLP:conf/iconip/AhmadiT17,
author = {Ahmadreza Ahmadi and
Jun Tani},
editor = {Derong Liu and
Shengli Xie and
Yuanqing Li and
Dongbin Zhao and
El{-}Sayed M. El{-}Alfy},
title = {Bridging the Gap Between Probabilistic and Deterministic Models: {A}
Simulation Study on a Variational Bayes Predictive Coding Recurrent
Neural Network Model},
booktitle = {Neural Information Processing - 24th International Conference, {ICONIP}
2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part {III}},
series = {Lecture Notes in Computer Science},
volume = {10636},
pages = {760--769},
publisher = {Springer},
year = {2017},
url = {https://doi.org/10.1007/978-3-319-70090-8\_77},
doi = {10.1007/978-3-319-70090-8\_77},
timestamp = {Tue, 14 May 2019 10:00:42 +0200},
biburl = {https://dblp.org/rec/conf/iconip/AhmadiT17.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
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author = {Ahmadreza Ahmadi and
Jun Tani},
title = {Bridging the Gap between Probabilistic and Deterministic Models: {A}
Simulation Study on a Variational Bayes Predictive Coding Recurrent
Neural Network Model},
journal = {CoRR},
volume = {abs/1706.10240},
year = {2017},
url = {http://arxiv.org/abs/1706.10240},
eprinttype = {arXiv},
eprint = {1706.10240},
timestamp = {Mon, 13 Aug 2018 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/AhmadiT17a.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
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author = {Dmitrij Schlesinger},
title = {A Connection between Feed-Forward Neural Networks and Probabilistic
Graphical Models},
journal = {CoRR},
volume = {abs/1710.11052},
year = {2017},
url = {http://arxiv.org/abs/1710.11052},
eprinttype = {arXiv},
eprint = {1710.11052},
timestamp = {Mon, 13 Aug 2018 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1710-11052.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
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@article{DBLP:journals/corr/abs-1711-04154,
author = {Anna Potapenko and
Artem Popov and
Konstantin V. Vorontsov},
title = {Interpretable probabilistic embeddings: bridging the gap between topic
models and neural networks},
journal = {CoRR},
volume = {abs/1711.04154},
year = {2017},
url = {http://arxiv.org/abs/1711.04154},
eprinttype = {arXiv},
eprint = {1711.04154},
timestamp = {Wed, 09 Jun 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1711-04154.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
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@article{DBLP:journals/ficn/TestolinZ16,
author = {Alberto Testolin and
Marco Zorzi},
title = {Probabilistic Models and Generative Neural Networks: Towards an Unified
Framework for Modeling Normal and Impaired Neurocognitive Functions},
journal = {Frontiers Comput. Neurosci.},
volume = {10},
pages = {73},
year = {2016},
url = {https://doi.org/10.3389/fncom.2016.00073},
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bibsource = {dblp computer science bibliography, https://dblp.org}
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@inproceedings{DBLP:conf/annpr/BonginiLT16,
author = {Marco Bongini and
Vincenzo Laveglia and
Edmondo Trentin},
editor = {Friedhelm Schwenker and
Hazem M. Abbas and
Neamat El Gayar and
Edmondo Trentin},
title = {A Hybrid Recurrent Neural Network/Dynamic Probabilistic Graphical
Model Predictor of the Disulfide Bonding State of Cysteines from the
Primary Structure of Proteins},
booktitle = {Artificial Neural Networks in Pattern Recognition - 7th {IAPR} {TC3}
Workshop, {ANNPR} 2016, Ulm, Germany, September 28-30, 2016, Proceedings},
series = {Lecture Notes in Computer Science},
volume = {9896},
pages = {257--268},
publisher = {Springer},
year = {2016},
url = {https://doi.org/10.1007/978-3-319-46182-3\_22},
doi = {10.1007/978-3-319-46182-3\_22},
timestamp = {Tue, 14 May 2019 10:00:39 +0200},
biburl = {https://dblp.org/rec/conf/annpr/BonginiLT16.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
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author = {Ilija Ilievski and
Taimoor Akhtar and
Jiashi Feng and
Christine A. Shoemaker},
title = {Hyperparameter Optimization of Deep Neural Networks Using Non-Probabilistic
{RBF} Surrogate Model},
journal = {CoRR},
volume = {abs/1607.08316},
year = {2016},
url = {http://arxiv.org/abs/1607.08316},
eprinttype = {arXiv},
eprint = {1607.08316},
timestamp = {Mon, 13 Aug 2018 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/IlievskiAFS16.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
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author = {Feilong Cao and
Hailiang Ye and
Dianhui Wang},
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biburl = {https://dblp.org/rec/journals/isci/CaoYW15.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
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author = {Sareh Zendehrouh},
title = {A new computational account of cognitive control over reinforcement-based
decision-making: Modeling of a probabilistic learning task},
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pages = {112--123},
year = {2015},
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author = {Stavros Ntalampiras},
title = {Fault Identification in Distributed Sensor Networks Based on Universal
Probabilistic Modeling},
journal = {{IEEE} Trans. Neural Networks Learn. Syst.},
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biburl = {https://dblp.org/rec/journals/tnn/Ntalampiras15.bib},
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@article{DBLP:journals/tnn/ZhangJXZL15,
author = {Luming Zhang and
Rongrong Ji and
Yingjie Xia and
Ying Zhang and
Xuelong Li},
title = {Learning a Probabilistic Topology Discovering Model for Scene Categorization},
journal = {{IEEE} Trans. Neural Networks Learn. Syst.},
volume = {26},
number = {8},
pages = {1622--1634},
year = {2015},
url = {https://doi.org/10.1109/TNNLS.2014.2347398},
doi = {10.1109/TNNLS.2014.2347398},
timestamp = {Mon, 14 Feb 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/tnn/ZhangJXZL15.bib},
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@inproceedings{DBLP:conf/system/BeritelliS15,
author = {Francesco Beritelli and
Grazia Lo Sciuto},
editor = {Robertas Damasevicius and
Christian Napoli and
Emiliano Tramontana and
Marcin Wozniak},
title = {Performance Evaluation of Multimodal Biometric Systems based on Mathematical
Models and Probabilistic Neural Networks},
booktitle = {Proceedings of the International Symposium for Young Scientists in
Technology, Engineering and Mathematics, Catania, Italy, September
27-29, 2015},
series = {{CEUR} Workshop Proceedings},
volume = {1543},
pages = {40--46},
publisher = {CEUR-WS.org},
year = {2015},
url = {http://ceur-ws.org/Vol-1543/p6.pdf},
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biburl = {https://dblp.org/rec/conf/system/BeritelliS15.bib},
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@article{DBLP:journals/envsoft/Munoz-MasMGM14,
author = {Rafael Mu{\~{n}}oz{-}Mas and
Francisco Mart{\'{\i}}nez{-}Capel and
V. Gar{\'{o}}fano{-}G{\'{o}}mez and
Ans M. Mouton},
title = {Application of Probabilistic Neural Networks to microhabitat suitability
modelling for adult brown trout (Salmo trutta {L.)} in Iberian rivers},
journal = {Environ. Model. Softw.},
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pages = {30--43},
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biburl = {https://dblp.org/rec/journals/envsoft/Munoz-MasMGM14.bib},
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@inproceedings{DBLP:conf/ijcnn/KaplanKLP14,
author = {Bernhard A. Kaplan and
Mina A. Khoei and
Anders Lansner and
Laurent U. Perrinet},
title = {Signature of an anticipatory response in area {VI} as modeled by a
probabilistic model and a spiking neural network},
booktitle = {2014 International Joint Conference on Neural Networks, {IJCNN} 2014,
Beijing, China, July 6-11, 2014},
pages = {3205--3212},
publisher = {{IEEE}},
year = {2014},
url = {https://doi.org/10.1109/IJCNN.2014.6889847},
doi = {10.1109/IJCNN.2014.6889847},
timestamp = {Wed, 16 Oct 2019 14:14:55 +0200},
biburl = {https://dblp.org/rec/conf/ijcnn/KaplanKLP14.bib},
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author = {Davide Bacciu and
Alessio Micheli and
Alessandro Sperduti},
title = {Compositional Generative Mapping for Tree-Structured Data - Part {I:}
Bottom-Up Probabilistic Modeling of Trees},
journal = {{IEEE} Trans. Neural Networks Learn. Syst.},
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url = {https://doi.org/10.1109/TNNLS.2012.2222044},
doi = {10.1109/TNNLS.2012.2222044},
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biburl = {https://dblp.org/rec/journals/tnn/BacciuMS12.bib},
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@inproceedings{DBLP:conf/icica/WangZS12a,
author = {Jiawei Wang and
Ruicheng Zhang and
Wentao Song},
editor = {Chunfeng Liu and
Leizhen Wang and
Aimin Yang},
title = {A Flatness Pattern Recognition Model Based on Wavelet Transform and
Probabilistic Neural Network},
booktitle = {Information Computing and Applications - Third International Conference,
{ICICA} 2012, Chengde, China, September 14-16, 2012. Proceedings,
Part {II}},
series = {Communications in Computer and Information Science},
volume = {308},
pages = {187--194},
publisher = {Springer},
year = {2012},
url = {https://doi.org/10.1007/978-3-642-34041-3\_28},
doi = {10.1007/978-3-642-34041-3\_28},
timestamp = {Wed, 29 Aug 2018 17:16:57 +0200},
biburl = {https://dblp.org/rec/conf/icica/WangZS12a.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
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author = {Peng Li},
title = {Structural damage localization using probabilistic neural networks},
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url = {https://doi.org/10.1016/j.mcm.2010.11.023},
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biburl = {https://dblp.org/rec/journals/mcm/Li11b.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
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@inproceedings{DBLP:conf/bmei/WangLC11,
author = {Hua Wang and
Bingxiang Liu and
Xiang Cheng},
editor = {Yongsheng Ding and
Yonghong Peng and
Riyi Shi and
Kuangrong Hao and
Lipo Wang},
title = {Probabilistic neural network model based on wavelet and partical swarm
optimization},
booktitle = {4th International Conference on Biomedical Engineering and Informatics,
{BMEI} 2011, Shanghai, China, October 15-17, 2011},
pages = {2225--2227},
publisher = {{IEEE}},
year = {2011},
url = {https://doi.org/10.1109/BMEI.2011.6098683},
doi = {10.1109/BMEI.2011.6098683},
timestamp = {Wed, 16 Oct 2019 14:14:50 +0200},
biburl = {https://dblp.org/rec/conf/bmei/WangLC11.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/cibb/KasabovSM11,
author = {Nikola K. Kasabov and
Stefan Schliebs and
Ammar Mohemmed},
editor = {Elia Biganzoli and
Alfredo Vellido and
Federico Ambrogi and
Roberto Tagliaferri},
title = {Modelling the Effect of Genes on the Dynamics of Probabilistic Spiking
Neural Networks for Computational Neurogenetic Modelling},
booktitle = {Computational Intelligence Methods for Bioinformatics and Biostatistics,
8th International Meeting, {CIBB} 2011, Gargnano del Garda, Italy,
June 30 - July 2, 2011, Revised Selected Papers},
series = {Lecture Notes in Computer Science},
volume = {7548},
pages = {1--9},
publisher = {Springer},
year = {2011},
url = {https://doi.org/10.1007/978-3-642-35686-5\_1},
doi = {10.1007/978-3-642-35686-5\_1},
timestamp = {Tue, 14 May 2019 10:00:54 +0200},
biburl = {https://dblp.org/rec/conf/cibb/KasabovSM11.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/socpros/KasiviswanathanS11,
author = {K. S. Kasiviswanathan and
K. P. Sudheer},
editor = {Kusum Deep and
Atulya Nagar and
Millie Pant and
Jagdish Chand Bansal},
title = {Uncertainty Analysis on Neural Network Based Hydrological Models Using
Probabilistic Point Estimate Method},
booktitle = {Proceedings of the International Conference on Soft Computing for
Problem Solving (SocProS 2011) December 20-22, 2011 - Volume 1},
series = {Advances in Intelligent and Soft Computing},
volume = {130},
pages = {377--384},
publisher = {Springer},
year = {2011},
url = {https://doi.org/10.1007/978-81-322-0487-9\_36},
doi = {10.1007/978-81-322-0487-9\_36},
timestamp = {Thu, 25 May 2017 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/socpros/KasiviswanathanS11.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/eswa/ChengCL10,
author = {Jao{-}Hong Cheng and
Huei{-}Ping Chen and
Yi{-}Min Lin},
title = {A hybrid forecast marketing timing model based on probabilistic neural
network, rough set and {C4.5}},
journal = {Expert Syst. Appl.},
volume = {37},
number = {3},
pages = {1814--1820},
year = {2010},
url = {https://doi.org/10.1016/j.eswa.2009.07.019},
doi = {10.1016/J.ESWA.2009.07.019},
timestamp = {Fri, 26 May 2017 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/eswa/ChengCL10.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
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@article{DBLP:journals/jccee/TranPN10,
author = {D. H. Tran and
B. J. C. Perera and
A. W. M. Ng},
title = {Hydraulic Deterioration Models for Storm-Water Drainage Pipes: Ordered
Probit versus Probabilistic Neural Network},
journal = {J. Comput. Civ. Eng.},
volume = {24},
number = {2},
pages = {140--150},
year = {2010},
url = {https://doi.org/10.1061/(asce)cp.1943-5487.0000020},
doi = {10.1061/(ASCE)CP.1943-5487.0000020},
timestamp = {Tue, 23 May 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jccee/TranPN10.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/nca/WongC10,
author = {Jia{-}Jun Wong and
Siu{-}Yeung Cho},
title = {A face emotion tree structure representation with probabilistic recursive
neural network modeling},
journal = {Neural Comput. Appl.},
volume = {19},
number = {1},
pages = {33--54},
year = {2010},
url = {https://doi.org/10.1007/s00521-008-0225-z},
doi = {10.1007/S00521-008-0225-Z},
timestamp = {Thu, 10 Sep 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/nca/WongC10.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
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@article{DBLP:journals/nn/Kasabov10,
author = {Nikola K. Kasabov},
title = {To spike or not to spike: {A} probabilistic spiking neuron model},
journal = {Neural Networks},
volume = {23},
number = {1},
pages = {16--19},
year = {2010},
url = {https://doi.org/10.1016/j.neunet.2009.08.010},
doi = {10.1016/J.NEUNET.2009.08.010},
timestamp = {Thu, 04 Jun 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/nn/Kasabov10.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icee/KailunHM10,
author = {He Kailun and
Xu Huijun and
Xu Maohua},
title = {The Application of Probabilistic Neural Network Model In the Green
Supply Chain Performance Evaluation for Pig Industry},
booktitle = {The International Conference on E-Business and E-Government, {ICEE}
2010, 7-9 May 2010, Guangzhou, China, Proceedings},
pages = {3310--3313},
publisher = {{IEEE} Computer Society},
year = {2010},
url = {https://doi.org/10.1109/ICEE.2010.832},
doi = {10.1109/ICEE.2010.832},
timestamp = {Fri, 24 Mar 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icee/KailunHM10.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
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@inproceedings{DBLP:conf/ijcci/Hajek10,
author = {Petr H{\'{a}}jek},
editor = {Joaquim Filipe and
Janusz Kacprzyk},
title = {Probabilistic Neural Networks for Credit Rating Modelling},
booktitle = {{ICFC-ICNC} 2010 - Proceedings of the International Conference on
Fuzzy Computation and International Conference on Neural Computation,
[parts of the International Joint Conference on Computational Intelligence
{IJCCI} 2010], Valencia, Spain, October 24-26, 2010},
pages = {289--294},
publisher = {SciTePress},
year = {2010},
timestamp = {Wed, 12 Apr 2017 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/ijcci/Hajek10.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1001-4301,
author = {Marko V. Jankovic},
title = {Probabilistic Approach to Neural Networks Computation Based on Quantum
Probability Model Probabilistic Principal Subspace Analysis Example},
journal = {CoRR},
volume = {abs/1001.4301},
year = {2010},
url = {http://arxiv.org/abs/1001.4301},
eprinttype = {arXiv},
eprint = {1001.4301},
timestamp = {Mon, 13 Aug 2018 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1001-4301.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/eswa/Mostafa09a,
author = {Mohamed M. Mostafa},
title = {Modeling the competitive market efficiency of Egyptian companies:
{A} probabilistic neural network analysis},
journal = {Expert Syst. Appl.},
volume = {36},
number = {5},
pages = {8839--8848},
year = {2009},
url = {https://doi.org/10.1016/j.eswa.2008.11.024},
doi = {10.1016/J.ESWA.2008.11.024},
timestamp = {Sat, 30 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/eswa/Mostafa09a.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/nn/SchliebsDWK09,
author = {Stefan Schliebs and
Michael Defoin{-}Platel and
Susan P. Worner and
Nikola K. Kasabov},
title = {Integrated feature and parameter optimization for an evolving spiking
neural network: Exploring heterogeneous probabilistic models},
journal = {Neural Networks},
volume = {22},
number = {5-6},
pages = {623--632},
year = {2009},
url = {https://doi.org/10.1016/j.neunet.2009.06.038},
doi = {10.1016/J.NEUNET.2009.06.038},
timestamp = {Wed, 14 Nov 2018 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/nn/SchliebsDWK09.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/tnn/ChengFW09,
author = {Shih{-}Sian Cheng and
Hsin{-}Chia Fu and
Hsin{-}Min Wang},
title = {Model-Based Clustering by Probabilistic Self-Organizing Maps},
journal = {{IEEE} Trans. Neural Networks},
volume = {20},
number = {5},
pages = {805--826},
year = {2009},
url = {https://doi.org/10.1109/TNN.2009.2013708},
doi = {10.1109/TNN.2009.2013708},
timestamp = {Wed, 07 Dec 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/tnn/ChengFW09.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
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@inproceedings{DBLP:conf/ccece/YuMG09,
author = {Yuanlong Yu and
George K. I. Mann and
Ray G. Gosine},
title = {Modeling of top-down object-based attention using probabilistic neural
network},
booktitle = {Proceedings of the 22nd Canadian Conference on Electrical and Computer
Engineering, {CCECE} 2009, 3-6 May 2009, Delta St. John's Hotel and
Conference Centre, St. John's, Newfoundland, Canada},
pages = {533--536},
publisher = {{IEEE}},
year = {2009},
url = {https://doi.org/10.1109/CCECE.2009.5090188},
doi = {10.1109/CCECE.2009.5090188},
timestamp = {Thu, 14 Oct 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/ccece/YuMG09.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/esiat/ZhuH09,
author = {Changjun Zhu and
Zhenchun Hao},
title = {Application of Probabilistic Neural Network Model in Evaluation of
Water Quality},
booktitle = {2009 International Conference on Environmental Science and Information
Application Technology, {ESIAT} 2009, Wuhan, China, 4-5 July 2009,
3 Volumes},
pages = {244--247},
publisher = {{IEEE} Computer Society},
year = {2009},
url = {https://doi.org/10.1109/ESIAT.2009.36},
doi = {10.1109/ESIAT.2009.36},
timestamp = {Fri, 24 Mar 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/esiat/ZhuH09.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
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@article{DBLP:journals/jirs/PotocnikMSZ08,
author = {Bostjan Potocnik and
Gasper Music and
Igor Skrjanc and
Borut Zupancic},
title = {Model-based Predictive Control of Hybrid Systems: {A} Probabilistic
Neural-network Approach to Real-time Control},
journal = {J. Intell. Robotic Syst.},
volume = {51},
number = {1},
pages = {45--63},
year = {2008},
url = {https://doi.org/10.1007/s10846-007-9180-7},
doi = {10.1007/S10846-007-9180-7},
timestamp = {Tue, 07 Apr 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jirs/PotocnikMSZ08.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
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@article{DBLP:journals/tnn/BengioS08,
author = {Yoshua Bengio and
Jean{-}S{\'{e}}bastien Senecal},
title = {Adaptive Importance Sampling to Accelerate Training of a Neural Probabilistic
Language Model},
journal = {{IEEE} Trans. Neural Networks},
volume = {19},
number = {4},
pages = {713--722},
year = {2008},
url = {https://doi.org/10.1109/TNN.2007.912312},
doi = {10.1109/TNN.2007.912312},
timestamp = {Wed, 14 Nov 2018 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/tnn/BengioS08.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
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@inproceedings{DBLP:conf/icetet/KarmakarKG08,
author = {Sanjeev Karmakar and
M. K. Kowar and
Pulak Guhathakurta},
title = {Development of an 8-Parameter Probabilistic Artificial Neural Network
Model for Long-Range Monsoon Rainfall Pattern Recognition over the
Smaller Scale Geographical Region -District},
booktitle = {First International Conference on Emerging Trends in Engineering and
Technology, {ICETET} '08, Nagpur, Maharashtra, India, July 16-18,
2008},
pages = {569--574},
publisher = {{IEEE} Computer Society},
year = {2008},
url = {https://doi.org/10.1109/ICETET.2008.225},
doi = {10.1109/ICETET.2008.225},
timestamp = {Fri, 24 Mar 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icetet/KarmakarKG08.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
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@article{DBLP:journals/mcm/KingstonML06,
author = {Greer B. Kingston and
Holger R. Maier and
Martin F. Lambert},
title = {A probabilistic method for assisting knowledge extraction from artificial
neural networks used for hydrological prediction},
journal = {Math. Comput. Model.},
volume = {44},
number = {5-6},
pages = {499--512},
year = {2006},
url = {https://doi.org/10.1016/j.mcm.2006.01.008},
doi = {10.1016/J.MCM.2006.01.008},
timestamp = {Wed, 17 Feb 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/mcm/KingstonML06.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
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@article{DBLP:journals/nn/HoffmanGSR06,
author = {Matthew W. Hoffman and
David B. Grimes and
Aaron P. Shon and
Rajesh P. N. Rao},
title = {A probabilistic model of gaze imitation and shared attention},
journal = {Neural Networks},
volume = {19},
number = {3},
pages = {299--310},
year = {2006},
url = {https://doi.org/10.1016/j.neunet.2006.02.008},
doi = {10.1016/J.NEUNET.2006.02.008},
timestamp = {Sat, 09 Apr 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/nn/HoffmanGSR06.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
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@article{DBLP:journals/tnn/ChenFM06,
author = {Hsin Chen and
P. C. D. Fleury and
Alan F. Murray},
title = {Continuous-valued probabilistic behavior in a {VLSI} generative model},
journal = {{IEEE} Trans. Neural Networks},
volume = {17},
number = {3},
pages = {755--770},
year = {2006},
url = {https://doi.org/10.1109/TNN.2006.873278},
doi = {10.1109/TNN.2006.873278},
timestamp = {Wed, 14 Nov 2018 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/tnn/ChenFM06.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
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@inproceedings{DBLP:conf/isnn/KimSNBCL06,
author = {Jin Young Kim and
Min{-}Gyu Song and
Seung You Na and
Seong{-}Joon Baek and
Seung Ho Choi and
Joohun Lee},
editor = {Jun Wang and
Zhang Yi and
Jacek M. Zurada and
Bao{-}Liang Lu and
Hujun Yin},
title = {Skin-Color Based Human Tracking Using a Probabilistic Noise Model
Combined with Neural Network},
booktitle = {Advances in Neural Networks - {ISNN} 2006, Third International Symposium
on Neural Networks, Chengdu, China, May 28 - June 1, 2006, Proceedings,
Part {II}},
series = {Lecture Notes in Computer Science},
volume = {3972},
pages = {419--428},
publisher = {Springer},
year = {2006},
url = {https://doi.org/10.1007/11760023\_61},
doi = {10.1007/11760023\_61},
timestamp = {Tue, 14 May 2019 10:00:36 +0200},
biburl = {https://dblp.org/rec/conf/isnn/KimSNBCL06.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
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@article{DBLP:journals/acj/WuLWC05,
author = {Xiaoming Wu and
Fang Lu and
Bo Wang and
Jingzhi Cheng},
title = {Analysis of {DNA} Sequence Pattern Using Probabilistic Neural Network
Model},
journal = {J. Res. Pract. Inf. Technol.},
volume = {37},
number = {4},
year = {2005},
url = {http://www.jrpit.acs.org.au/jrpit/JRPITVolumes/JRPIT37/JRPIT37.4.353.pdf},
timestamp = {Thu, 26 Aug 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/acj/WuLWC05.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
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@article{DBLP:journals/nn/BaldiR05,
author = {Pierre Baldi and
Michal Rosen{-}Zvi},
title = {On the relationship between deterministic and probabilistic directed
Graphical models: From Bayesian networks to recursive neural networks},
journal = {Neural Networks},
volume = {18},
number = {8},
pages = {1080--1086},
year = {2005},
url = {https://doi.org/10.1016/j.neunet.2005.07.007},
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@inproceedings{DBLP:conf/aistats/MorinB05,
author = {Frederic Morin and
Yoshua Bengio},
editor = {Robert G. Cowell and
Zoubin Ghahramani},
title = {Hierarchical Probabilistic Neural Network Language Model},
booktitle = {Proceedings of the Tenth International Workshop on Artificial Intelligence
and Statistics, {AISTATS} 2005, Bridgetown, Barbados, January 6-8,
2005},
publisher = {Society for Artificial Intelligence and Statistics},
year = {2005},
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@inproceedings{DBLP:conf/cis/Pang05,
author = {Sulin Pang},
editor = {Yue Hao and
Jiming Liu and
Yuping Wang and
Yiu{-}ming Cheung and
Hujun Yin and
Licheng Jiao and
Jianfeng Ma and
Yong{-}Chang Jiao},
title = {Credit Evaluation Model and Applications Based on Probabilistic Neural
Network},
booktitle = {Computational Intelligence and Security, International Conference,
{CIS} 2005, Xi'an, China, December 15-19, 2005, Proceedings, Part
{I}},
series = {Lecture Notes in Computer Science},
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pages = {1027--1032},
publisher = {Springer},
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url = {https://doi.org/10.1007/11596448\_153},
doi = {10.1007/11596448\_153},
timestamp = {Tue, 23 Feb 2021 17:25:41 +0100},
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@inproceedings{DBLP:conf/etfa/CesarioLP05,
author = {Nicola Cesario and
M. Lavorgna and
Francesco Pirozzi},
title = {Modelling on-off virtual lambda sensors based on multi-spread probabilistic
neural networks},
booktitle = {Proceedings of 10th {IEEE} International Conference on Emerging Technologies
and Factory Automation, {ETFA} 2005, September 19-22, 2005, Catania,
Italy},
publisher = {{IEEE}},
year = {2005},
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timestamp = {Wed, 16 Oct 2019 14:14:55 +0200},
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author = {Lu{\'{\i}}s A. Alexandre and
Aur{\'{e}}lio C. Campilho and
Mohamed S. Kamel},
editor = {Francisco Jos{\'{e}} Perales L{\'{o}}pez and
Aur{\'{e}}lio C. Campilho and
Nicolas P{\'{e}}rez de la Blanca and
Alberto Sanfeliu},
title = {A Probabilistic Model for the Cooperative Modular Neural Network},
booktitle = {Pattern Recognition and Image Analysis, First Iberian Conference,
IbPRIA 2003, Puerto de Andratx, Mallorca, Spain, June 4-6, 2003, Proceedings},
series = {Lecture Notes in Computer Science},
volume = {2652},
pages = {11--18},
publisher = {Springer},
year = {2003},
url = {https://doi.org/10.1007/978-3-540-44871-6\_2},
doi = {10.1007/978-3-540-44871-6\_2},
timestamp = {Mon, 29 Jun 2020 12:59:10 +0200},
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@article{DBLP:journals/tgrs/HartSRM01,
author = {Sean J. Hart and
Ronald E. Shaffer and
Susan L. Rose{-}Pehrsson and
Jim R. McDonald},
title = {Using physics-based modeler outputs to train probabilistic neural
networks for unexploded ordnance {(UXO)} classification in magnetometry
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Lan Luo and
Matthew T. Freedman and
Sun{-}Yuan Kung},
title = {Probabilistic principal component subspaces: a hierarchical finite
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author = {Sheng{-}Tun Li and
Li{-}Yen Shue and
Weissor Shiue},
title = {The Development of a Short-Term Liquidity Decision Model via Protocol
Analysis and Probabilistic Neural Networks},
booktitle = {33rd Annual Hawaii International Conference on System Sciences (HICSS-33),
4-7 January, 2000, Maui, Hawaii, {USA}},
publisher = {{IEEE} Computer Society},
year = {2000},
url = {https://doi.org/10.1109/HICSS.2000.926652},
doi = {10.1109/HICSS.2000.926652},
timestamp = {Fri, 24 Mar 2023 00:00:00 +0100},
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title = {Probabilistic Neural Network Models for Sequential Data},
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on Neural Networks, {IJCNN} 2000, Neural Computing: New Challenges
and Perspectives for the New Millennium, Como, Italy, July 24-27,
2000, Volume 5},
pages = {79--84},
publisher = {{IEEE} Computer Society},
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Man{-}Wai Mak and
Chi{-}Kwong Li},
title = {Gaussian Mixture Models and Probabilistic Decision-Based Neural Networks
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B. Yegnanarayana},
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author = {Pierre Baldi},
editor = {C. Lee Giles and
Marco Gori},
title = {Probabilistic Models of Neuronal Spike Trains},
booktitle = {Adaptive Processing of Sequences and Data Structures, International
Summer School on Neural Networks, "E.R. Caianiello", Vietri sul Mare,
Salerno, Italy, September 6-13, 1997, Tutorial Lectures},
series = {Lecture Notes in Computer Science},
volume = {1387},
pages = {198--228},
publisher = {Springer},
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author = {P. P. Raghu and
B. Yegnanarayana},
title = {Texture classification using a probabilistic neural network and constraint
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editor = {Bert Kappen and
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title = {Developments in Probabilistic Modelling with Neural Networks - Ensemble
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author = {Jenq{-}Neng Hwang and
Eric T. Y. Chen and
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publisher = {{IEEE} Computer Society},
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author = {Jenq{-}Neng Hwang and
Eric Tsung{-}Yen Chen},
title = {Textured image segmentation via neural network probabilistic modeling},
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San Francisco, CA, USA, March 28 - April 1, 1993},
pages = {1702--1707},
publisher = {{IEEE}},
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