Deep Learning in Neural Networks: An Overview

30 April 2014

Papers citing "Deep Learning in Neural Networks: An Overview"

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Title
Exploring Convolutional Neural Networks for Rice Grain Classification: An Explainable AI Approach Muhammad Junaid Asif Hamza Khan Rabia Tehseen Syed Tahir Hussain Rizvi Mujtaba Asad Shazia Saqib Rana Fayyaz Ahmad 26 0 0 07 May 2025
Binding threshold units with artificial oscillatory neurons V. Fanaskov Ivan Oseledets 54 0 0 06 May 2025
Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications Elie Saad Mariem Besbes Marc Zolghadri Victor Czmil Claude Baron Vincent Bourgeois 28 0 0 02 May 2025
Inverse Modeling of Dielectric Response in Time Domain using Physics-Informed Neural Networks Emir Esenov Olof Hjortstam Yuriy Serdyuk Thomas Hammarström Christian Häger 30 0 0 28 Apr 2025
UNet with Axial Transformer : A Neural Weather Model for Precipitation Nowcasting Maitreya Sonawane Sumit Mamtani 65 0 0 28 Apr 2025
Deriving Equivalent Symbol-Based Decision Models from Feedforward Neural Networks Sebastian Seidel Uwe M. Borghoff 30 0 0 16 Apr 2025
Covariant Gradient Descent Dmitry Guskov Vitaly Vanchurin 26 2 0 07 Apr 2025
FeNeC: Enhancing Continual Learning via Feature Clustering with Neighbor- or Logit-Based Classification Kamil Książek Hubert Jastrzębski Bartosz Trojan Krzysztof Pniaczek Michał Karp Jacek Tabor CLL 79 0 0 18 Mar 2025
Self-Supervised Pretraining for Fine-Grained Plankton Recognition Joona Kareinen T. Eerola K. Kraft L. Lensu S. Suikkanen Heikki Kälviäinen SSL 192 0 0 14 Mar 2025
Generative Artificial Intelligence: Evolving Technology, Growing Societal Impact, and Opportunities for Information Systems Research Veda C. Storey Wei Thoo Yue J. Leon Zhao Roman Lukyanenko 43 0 0 25 Feb 2025
Reduced Order Models and Conditional Expectation -- Analysing Parametric Low-Order Approximations Hermann G. Matthies 42 0 0 17 Feb 2025
Optimizing Automatic Differentiation with Deep Reinforcement Learning Jamie Lohoff Emre Neftci 61 1 0 28 Jan 2025
Unified CNNs and transformers underlying learning mechanism reveals multi-head attention modus vivendi Ella Koresh Ronit D. Gross Yuval Meir Yarden Tzach Tal Halevi Ido Kanter ViT 49 0 0 22 Jan 2025
Dynamic Trend Fusion Module for Traffic Flow Prediction Jing Chen Haocheng Ye Zhian Ying Yuntao Sun Wenqiang Xu AI4TS 42 7 0 18 Jan 2025
Causal Deep Learning M. Alex O. Vasilescu CML 59 2 1 03 Jan 2025
Golden Ratio-Based Sufficient Dimension Reduction Wenjing Yang Yuhong Yang 33 0 0 25 Oct 2024
Fault Analysis And Predictive Maintenance Of Induction Motor Using Machine Learning Kavana Venkatesh Neethi M 19 18 0 16 Sep 2024
LSTM Recurrent Neural Networks for Cybersecurity Named Entity Recognition Houssem Gasmi Jannik Laval Abdelaziz Bouras 32 44 0 30 Aug 2024
Short-Term Electricity-Load Forecasting by Deep Learning: A Comprehensive Survey Qi Dong Rubing Huang Chenhui Cui Dave Towey Ling Zhou Jinyu Tian Jianzhou Wang AI4TS 32 1 0 29 Aug 2024
AdapMTL: Adaptive Pruning Framework for Multitask Learning Model Mingcan Xiang Steven Jiaxun Tang Qizheng Yang Hui Guan Tongping Liu VLM 39 0 0 07 Aug 2024
Using Petri Nets as an Integrated Constraint Mechanism for Reinforcement Learning Tasks Timon Sachweh Pierre Haritz Thomas Liebig 25 0 0 05 Jul 2024
Enhancing Monotonic Modeling with Spatio-Temporal Adaptive Awareness in Diverse Marketing Bin Li Jiayan Pei Feiyang Xiao Yifan Zhao Zhixing Zhang Diwei Liu Hengxu He Jia Jia 29 0 0 20 Jun 2024
Flattened one-bit stochastic gradient descent: compressed distributed optimization with controlled variance A. Stollenwerk Laurent Jacques FedML 23 0 0 17 May 2024
Boosting House Price Estimations with Multi-Head Gated Attention A. Sellam C. Distante Abdelmalik Taleb-Ahmed P. Mazzeo 33 1 0 13 May 2024
Development of Skip Connection in Deep Neural Networks for Computer Vision and Medical Image Analysis: A Survey Guoping Xu Xiaxia Wang Xinglong Wu Xuesong Leng Yongchao Xu 3DPC 41 8 0 02 May 2024
Purify Unlearnable Examples via Rate-Constrained Variational Autoencoders Yi Yu Yufei Wang Song Xia Wenhan Yang Shijian Lu Yap-Peng Tan A.C. Kot AAML 42 11 0 02 May 2024
Machine Learning-Assisted Thermoelectric Cooling for On-Demand Multi-Hotspot Thermal Management Jiajian Luo Jaeho Lee 36 3 0 20 Apr 2024
Crossing the principle-practice gap in AI ethics with ethical problem-solving N. Corrêa James William Santos Camila Galvão Marcelo Pasetti Dieine Schiavon Faizah Naqvi Robayet Hossain N. D. Oliveira 40 4 0 16 Apr 2024
Effective Reinforcement Learning Based on Structural Information Principles Xianghua Zeng Hao Peng Dingli Su Angsheng Li 40 0 0 15 Apr 2024
Variational Stochastic Gradient Descent for Deep Neural Networks Haotian Chen Anna Kuzina Babak Esmaeili Jakub M. Tomczak 52 0 0 09 Apr 2024
Bayesian Additive Regression Networks D. V. Boxel UQCV BDL 23 0 0 05 Apr 2024
Statistical Mechanics and Artificial Neural Networks: Principles, Models, and Applications Lucas Böttcher Gregory R. Wheeler 32 0 0 05 Apr 2024
Leveraging Digital Perceptual Technologies for Remote Perception and Analysis of Human Biomechanical Processes: A Contactless Approach for Workload and Joint Force Assessment Jesudara Omidokun D. Egeonu Bochen Jia Liang Yang 19 0 0 02 Apr 2024
The State of Lithium-Ion Battery Health Prognostics in the CPS Era Gaurav Shinde Rohan Mohapatra Pooja Krishan Harish Garg Srikanth Prabhu Sanchari Das Mohammad Masum Saptarshi Sengupta 34 1 0 28 Mar 2024
Language Agents as Optimizable Graphs Mingchen Zhuge Wenyi Wang Louis Kirsch Francesco Faccio Dmitrii Khizbullin Jürgen Schmidhuber LLMAG 29 19 0 26 Feb 2024
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends Abolfazl Younesi Mohsen Ansari Mohammadamin Fazli A. Ejlali Muhammad Shafique Joerg Henkel 3DV 52 44 0 23 Feb 2024
Vision System Prototype for Inspection and Monitoring with a Smart Camera Efrén Hernández-Molina B. Ojeda-Magaña J. G. Robledo-Hernández R. Ruelas 35 2 0 20 Feb 2024
Compression Repair for Feedforward Neural Networks Based on Model Equivalence Evaluation Zihao Mo Yejiang Yang Shuaizheng Lu Weiming Xiang 40 1 0 18 Feb 2024
Is Adversarial Training with Compressed Datasets Effective? Tong Chen Raghavendra Selvan AAML 59 0 0 08 Feb 2024
Non-convergence to global minimizers for Adam and stochastic gradient descent optimization and constructions of local minimizers in the training of artificial neural networks Arnulf Jentzen Adrian Riekert 38 4 0 07 Feb 2024
Early stopping by correlating online indicators in neural networks M. Ferro V. Darriba Francisco J. Ribadas Pena Jesús Vilares 16 9 0 04 Feb 2024
Intelligent Condition Monitoring of Industrial Plants: An Overview of Methodologies and Uncertainty Management Strategies Maryam Ahang Todd Charter Oluwaseyi Ogunfowora Maziyar Khadivi Mostafa Abbasi H. Najjaran AI4CE 45 2 0 03 Jan 2024
The role of data embedding in equivariant quantum convolutional neural networks Sreetama Das Stefano Martina Filippo Caruso 27 5 0 20 Dec 2023
Convolutional Neural Networks for Neuroimaging in Parkinson's Disease: Is Preprocessing Needed? Francisco J. Martínez-Murcia Juan M Gorriz J. Ramírez A. Ortiz 13 74 0 21 Nov 2023
Towards a Gateway for Knowledge Graph Schemas Collection, Analysis, and Embedding Mattia Fumagalli Marco Boffo D. Shi Mayukh Bagchi Fausto Giunchiglia 9 2 0 21 Nov 2023
From Optimization to Control: Quasi Policy Iteration Mohammad Amin Sharifi Kolarijani Peyman Mohajerin Esfahani 32 2 0 18 Nov 2023
Density Matrix Emulation of Quantum Recurrent Neural Networks for Multivariate Time Series Prediction José Daniel Viqueira Daniel Faílde M. M. Juane Andrés Gómez David Mera 28 5 0 31 Oct 2023
Context-Aware Prediction of User Engagement on Online Social Platforms Heinrich Peters Yozen Liu Francesco Barbieri Raiyan Abdul Baten S. C. Matz Maarten W. Bos 31 2 0 23 Oct 2023
Scalable Neural Network Kernels Arijit Sehanobish Krzysztof Choromanski Yunfan Zhao Kumar Avinava Dubey Valerii Likhosherstov 41 5 0 20 Oct 2023
A Distributed Approach to Meteorological Predictions: Addressing Data Imbalance in Precipitation Prediction Models through Federated Learning and GANs Elaheh Jafarigol Theodore Trafalis 21 7 0 19 Oct 2023