• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 609 matches

• 2024
• 
  Yafei Hou, Satoshi Denno:
  WLAN Channel Status Duration Prediction for Audio and Video Services Using Probabilistic Neural Networks. IEEE Access 12: 28201-28211 (2024)
• 
  Tengfei Yang, Yuansong Qiao, Brian Lee:
  Explaining Probabilistic Bayesian Neural Networks for Cybersecurity Intrusion Detection. IEEE Access 12: 97004-97016 (2024)
• 
  Matthew Wicker, Luca Laurenti, Andrea Patane, Nicola Paoletti, Alessandro Abate, Marta Kwiatkowska:
  Probabilistic reach-avoid for Bayesian neural networks. Artif. Intell. 334: 104132 (2024)
• 
  Danuta Rutkowska, Piotr Duda, Jinde Cao, Maciej Jaworski, Marek Kisiel-Dorohinicki, Dacheng Tao, Leszek Rutkowski:
  Probabilistic neural networks for incremental learning over time-varying streaming data with application to air pollution monitoring. Appl. Soft Comput. 161: 111702 (2024)
• 
  Kristijan Kuk, Aleksandar Stanojevic, Petar Císar, Brankica Popovic, Mihailo Jovanovic, Zoran Stankovic, Olivera Pronic-Rancic:
  Applications of Fuzzy Logic and Probabilistic Neural Networks in E-Service for Malware Detection. Axioms 13(9): 624 (2024)
• 
  Evgenii Vityaev, Alexey Korolev:
  Interpretable logical-probabilistic approximation of neural networks. Cogn. Syst. Res. 88: 101301 (2024)
• 
  Antonio Nappa, Marco Quartulli, Izar Azpiroz, Susanna Marchi, Diego Guidotti, Michele Staiano, Roberta Siciliano:
  Probabilistic Bayesian Neural Networks for olive phenology prediction in precision agriculture. Ecol. Informatics 82: 102723 (2024)
• 
  Víctor Sotelo, Ovidio Almanza, Luis Montes:
  Post-stack seismic inversion through probabilistic neural networks and deep forward neural networks. Earth Sci. Informatics 17(3): 1957-1966 (2024)
• 
  Yitong Wang, Xianyong Li, Yuhang Cheng, Yajun Du, Dong Huang, Xiaoliang Chen, Yongquan Fan:
  A neural probabilistic bounded confidence model for opinion dynamics on social networks. Expert Syst. Appl. 247: 123315 (2024)
• 
  Taisei Saito, Kota Ando, Tetsuya Asai:
  Extending Binary Neural Networks to Bayesian Neural Networks with Probabilistic Interpretation of Binary Weights. IEICE Trans. Inf. Syst. 107(8): 949-957 (2024)
• 
  Nadia Nedjah, Luiza de Macedo Mourelle, Tarso Mesquita Machado:
  Weightless for neural networks based on multi-valued probabilistic logic for node for pattern recognition. Int. J. Bio Inspired Comput. 24(2): 80-97 (2024)
• 
  Ling Hu, Lanlan Yin, Feng Mo, Zhixun Liang, Zhong Ruan, Yuting Wang:
  A classification and prediction model with the sparrow search-probabilistic neural network algorithm for transformer fault diagnosis. Int. J. Sens. Networks 44(4): 249-257 (2024)
• 
  Mehrin Saremi, Mohammad Khalooei, Razieh Rastgoo, Mohammad Sabokrou:
  Projan: A probabilistic trojan attack on deep neural networks. Knowl. Based Syst. 304: 112565 (2024)
• 
  Mohammed Alweshah, Mustafa Alessa, Saleh Alkhalaileh, Sofian Kassaymeh, Bilal Abu-Salih:
  Hybrid Aquila optimizer for efficient classification with probabilistic neural networks. Multiagent Grid Syst. 20(1): 41-68 (2024)
• 
  Li Huang, Pei Li, Qiang Gao, Guisong Liu, Zhipeng Luo, Tianrui Li:
  Diffusion probabilistic model for bike-sharing demand recovery with factual knowledge fusion. Neural Networks 179: 106538 (2024)
• 
  Angelo Cardellicchio, Firozeh Solimani, Giovanni Dimauro, Stephan Summerer, Vito Renò:
  Patch-based probabilistic identification of plant roots using convolutional neural networks. Pattern Recognit. Lett. 183: 125-132 (2024)
• 
  Francesco Cursi, Weibang Bai, Eric M. Yeatman, Petar Kormushev:
  Task Accuracy Enhancement for a Surgical Macro-Micro Manipulator With Probabilistic Neural Networks and Uncertainty Minimization. IEEE Trans Autom. Sci. Eng. 21(1): 241-256 (2024)
• 
  Haniyeh Seyed Alinezhad, Jun Shang, Tongwen Chen, Sirish L. Shah:
  A Probabilistic Framework for Online Analysis of Alarm Floods Using Convolutional Neural Networks. IEEE Trans. Instrum. Meas. 73: 1-11 (2024)
• 
  Meichao Xing, Qiaoling Du, Zhenlong Bi:
  Research on DEM geomorphic factor terrain recognition algorithm using probabilistic neural networks based on tactile systems. Trans. Inst. Meas. Control 46(11): 2174-2185 (2024)
• 
  Qingyi Wang, Shenhao Wang, Dingyi Zhuang, Haris N. Koutsopoulos, Jinhua Zhao:
  Uncertainty Quantification of Spatiotemporal Travel Demand With Probabilistic Graph Neural Networks. IEEE Trans. Intell. Transp. Syst. 25(8): 8770-8781 (2024)
• 
  Ana Vasilcoiu, T. H. F. Stessen, Thies Kersten, Batu Helvacioglu:
  [Re] GNNInterpreter: A probabilistic generative model-level explanation for Graph Neural Networks. Trans. Mach. Learn. Res. 2024 (2024)
• 
  Edgar S. García-Treviño, Pu Yang, Javier A. Barria:
  Wavelet Probabilistic Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35(1): 376-389 (2024)
• 
  Lizeth Gonzalez-Carabarin, Iris A. M. Huijben, Bas Veeling, Alexandre Schmid, Ruud J. G. van Sloun:
  Dynamic Probabilistic Pruning: A General Framework for Hardware-Constrained Pruning at Different Granularities. IEEE Trans. Neural Networks Learn. Syst. 35(1): 733-744 (2024)
• 
  Priscila Grecov, Ankitha Nandipura Prasanna, Klaus Ackermann, Sam Campbell, Deborah A. Scott, Dan I. Lubman, Christoph Bergmeir:
  Probabilistic Causal Effect Estimation With Global Neural Network Forecasting Models. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4999-5013 (2024)
• 
  Vilde Jensen, Filippo Maria Bianchi, Stian Normann Anfinsen:
  Ensemble Conformalized Quantile Regression for Probabilistic Time Series Forecasting. IEEE Trans. Neural Networks Learn. Syst. 35(7): 9014-9025 (2024)
• 
  Arne Schmidt, Pablo Morales-Álvarez, Rafael Molina:
  Probabilistic Attention Based on Gaussian Processes for Deep Multiple Instance Learning. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10909-10922 (2024)
• 
  Weihao Song, Zidong Wang, Zhongkui Li, Qing-Long Han:
  Particle-Filter-Based State Estimation for Delayed Artificial Neural Networks: When Probabilistic Saturation Constraints Meet Redundant Channels. IEEE Trans. Neural Networks Learn. Syst. 35(3): 4354-4362 (2024)
• 
  Ke Su, Hang Su, Chongxuan Li, Jun Zhu, Bo Zhang:
  Probabilistic Neural-Symbolic Models With Inductive Posterior Constraints. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2667-2679 (2024)
• 
  Danyang Wu, Xia Dong, Jianfu Cao, Rong Wang, Feiping Nie, Xuelong Li:
  Bidirectional Probabilistic Subspaces Approximation for Multiview Clustering. IEEE Trans. Neural Networks Learn. Syst. 35(7): 8939-8953 (2024)
• 
  Zichen Yan, Wei He, Yuanhang Wang, Liang Sun, Xinbo Yu:
  Probabilistic Motion Prediction and Skill Learning for Human-to-Cobot Dual-Arm Handover Control. IEEE Trans. Neural Networks Learn. Syst. 35(1): 1192-1204 (2024)

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