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https://doi.org/10.2139/ssrn.4111793

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-642-21735-7_7openalex-extracted
Stacked Convolutional Auto-Encoders for Hierarchical Feature Extraction
inferredcites →https://doi.org/10.1016/0893-6080(89)90044-0openalex-extracted
Optimal unsupervised learning in a single-layer linear feedforward neural network
inferredcites →https://doi.org/10.1016/j.asoc.2020.106898openalex-extracted
Financial market prediction under deep learning framework using auto encoder and kernel extreme learning machine
inferredcites →https://doi.org/10.1016/j.asoc.2021.107455openalex-extracted
From WASD to BLS with application to pattern classification
inferredcites →https://doi.org/10.1016/j.cosrev.2021.100379openalex-extracted
A survey on deep learning and its applications
inferredcites →https://doi.org/10.1016/j.eswa.2020.113977openalex-extracted
New activation functions for single layer feedforward neural network
inferredcites →https://doi.org/10.1016/j.eswa.2021.115521openalex-extracted
On the use of summarization and transformer architectures for profiling résumés
inferredcites →https://doi.org/10.1016/j.eswa.2021.116162openalex-extracted
Modeling supply-chain networks with firm-to-firm wire transfers
inferredcites →https://doi.org/10.1016/j.eswa.2022.116923openalex-extracted
SILT: Efficient transformer training for inter-lingual inference
inferredcites →https://doi.org/10.1016/j.neucom.2021.03.091openalex-extracted
A review on the attention mechanism of deep learning
inferredcites →https://doi.org/10.1016/j.patrec.2018.06.015openalex-extracted
Hierarchical ensemble of Extreme Learning Machine
inferredcites →https://doi.org/10.1016/j.renene.2020.11.002openalex-extracted
A hybrid neural network model for short-term wind speed forecasting based on decomposition, multi-learner ensemble, and adaptive multiple error corrections
inferredcites →https://doi.org/10.1016/j.scs.2020.102673openalex-extracted
Cost/comfort-oriented clustering-based extended time of use pricing
inferredcites →https://doi.org/10.1109/2.144401openalex-extracted
Functional-link net computing: theory, system architecture, and functionalities
inferredcites →https://doi.org/10.1109/5.726791openalex-extracted
Gradient-based learning applied to document recognition
inferredcites →https://doi.org/10.1109/aike52691.2021.00014openalex-extracted
Cross-lingual timeline summarization
inferredcites →https://doi.org/10.1109/cvpr.2018.00813openalex-extracted
Non-local Neural Networks
inferredcites →https://doi.org/10.1109/tmc.2021.3073005openalex-extracted
BLS-Location: A Wireless Fingerprint Localization Algorithm Based on Broad Learning
inferredcites →https://doi.org/10.1109/tmm.2017.2759508openalex-extracted
Scale-aware Fast R-CNN for Pedestrian Detection
inferredcites →https://doi.org/10.1109/tnnls.2017.2716952openalex-extracted
Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture
inferredcites →https://doi.org/10.1109/tnnls.2018.2866622openalex-extracted
Universal Approximation Capability of Broad Learning System and Its Structural Variations
inferredcites →https://doi.org/10.1109/tsmc.2019.2956022openalex-extracted
A Complex Network-Based Broad Learning System for Detecting Driver Fatigue From EEG Signals
inferredcites →https://doi.org/10.1109/tsmc.2020.2995205openalex-extracted
Analysis and Variants of Broad Learning System
inferredcites →https://doi.org/10.1109/tsmc.2020.3043147openalex-extracted
Stacked Broad Learning System: From Incremental Flatted Structure to Deep Model
inferredcites →https://doi.org/10.1145/1390156.1390294openalex-extracted
Extracting and composing robust features with denoising autoencoders
inferredcites →https://doi.org/10.1162/neco.2006.18.7.1527openalex-extracted
A Fast Learning Algorithm for Deep Belief Nets
inferredcites →https://doi.org/10.1186/s40537-021-00444-8openalex-extracted
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
inferredcites →https://doi.org/10.1198/jasa.2008.s236openalex-extracted
Pattern Recognition and Machine Learning
inferredcites →https://doi.org/10.1609/aaai.v33i01.330161openalex-extracted
DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System
inferredcites →https://doi.org/10.18653/v1/p19-1580openalex-extracted
Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned
inferredcites →https://doi.org/10.4230/lipics.cosit.2022.18openalex-extracted
AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at Scale
inferredcites →https://doi.org/10.4230/lipics.giscience.2023.43openalex-extracted
Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and Cosmological Portal Dynamics
inferredcites →https://doi.org/10.4230/lipics.itp.2023.19openalex-extracted
Exploiting Generative AI to Scale up Intelligent Tutoring Systems
inferredcites →https://doi.org/10.48550/arxiv.1708.07747openalex-extracted
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
inferredcites →https://doi.org/10.48550/arxiv.1710.11622openalex-extracted
Meta-Learning and Universality: Deep Representations and Gradient Descent can Approximate any Learning Algorithm
inferredcites →https://doi.org/10.48550/arxiv.1901.04704openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2103.00112openalex-extracted
Transformer in Transformer
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