https://safednn.com/
Safe deep neural networks for autonomous driving vehicles - SafeDNN
Oct 2, 2023 - SafeDNN is highly automated software framework which simplifies testing activities of deep neural networks for autonomous driving vehicles
deep neural networksautonomous drivingsafevehicles
https://thesai.org/Publications/ViewPaper?Volume=14&Issue=8&Code=IJACSA&SerialNo=57
Integrating Transfer Learning and Deep Neural Networks for Accurate Medical Disease Diagnosis from...
Effective patient treatment and care depend heavily on accurate disease diagnosis. The availability of multi-modal medical data in recent years, such as...
deep neural networkstransfer learningdisease diagnosisintegratingaccurate
https://research.uni-hannover.de/de/publications/open-set-task-augmentation-facilitates-generalization-of-deep-neu/
Open set task augmentation facilitates generalization of deep neural networks trained on small data...
deep neural networksopensettaskaugmentation
https://liner.com/review/towards-integration-statistical-hypothesis-tests-into-deep-neural-networks
Towards Integration of Statistical Hypothesis Tests into Deep Neural Networks [Quick Review]
Regarding this ACL 2019 paper, this review summarizes a deep neural network integrating statistical hypothesis tests for enhanced text classification.
deep neural networksquick reviewtowardsintegrationstatistical
https://digikogu.taltech.ee/en/item/e1a9ad72-2f5a-4b2f-980b-bef6f7d1ed46
Classification and Denoising of Objects in TEM and CT Images Using Deep Neural Networks - TalTech...
TalTech Raamatukogu digikogu
deep neural networksclassificationdenoisingobjectstem
https://researchrepository.universityofgalway.ie/entities/publication/c7b26bac-9170-4f19-be2f-7fc4d25f46b8
Contributions to data augmentation techniques and synthetic data for training deep neural networks
In the recent years deep learning has become more and more popular and it is applied in a variety of fields, yielding outstanding results in different machine...
deep neural networksdata augmentationfor trainingcontributionstechniques
https://www.edge-ai-vision.com/2016/04/techniques-for-efficient-implementation-of-deep-neural-networks-a-presentation-from-stanford/
"Techniques for Efficient Implementation of Deep Neural Networks," a Presentation from Stanford -...
Jan 25, 2020 - Stanford's Song Han presents recent findings on techniques for the efficient implementation of deep neural networks. This video is published by an Embedded...
deep neural networkstechniquesefficientimplementationpresentation
https://www.ijisae.org/index.php/IJISAE/article/view/3108/1689
View of Performance Analysis of Deep Neural Networks for Unimodal and Multimodal Biometric...
deep neural networksperformance analysisviewunimodalmultimodal
https://lore.list.lu/dataset.xhtml?persistentId=perma:LIST.JIBLO2
Transfer Learning and Mixed Input Deep Neural Networks for Estimating Flood Severity in News...
Dec 9, 2025 - This paper describes deep learning approaches which use textual and visual features for flood severity detection in news content. In the context of the...
deep neural networkstransfer learningmixedinputestimating
https://research.google/pubs/spectral-distortion-model-for-training-phase-sensitive-deep-neural-networks-for-far-field-speech-recognition/
Spectral distortion model for training phase-sensitive deep-neural networks for far-field speech...
deep neural networksfor trainingfar fieldspectraldistortion
https://aclanthology.org/W17-7539/
Normalization of Social Media Text using Deep Neural Networks - ACL Anthology
Ajay Shankar Tiwari, Sudip Kumar Naskar. Proceedings of the 14th International Conference on Natural Language Processing (ICON-2017). 2017.
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https://vivo.tib.eu/fis/display/n55763
Mining exoticism from visual content with fusion-based deep neural networks
deep neural networksvisual contentminingexoticismfusion
https://scholar.hit.edu.cn/en/publications/box-level-segmentation-supervised-deep-neural-networks-for-accura/
Box-level segmentation supervised deep neural networks for accurate and real-time multispectral...
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https://bookmarksden.com/story19332200/exploring-the-power-of-deep-neural-networks-for-agi
Exploring the Power of Deep Neural Networks for AGI
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https://reason.town/direct-feedback-alignment-provides-learning-in-deep-neural-networks/
How Direct Feedback Alignment Provides Learning in Deep Neural Networks - reason.town
Aug 15, 2022 - How Direct Feedback Alignment Provides Learning in Deep Neural Networks
deep neural networksdirect feedbackalignmentprovideslearning
https://deepai.org/publication/skin-lesion-classification-using-hybrid-deep-neural-networks
Skin Lesion Classification Using Hybrid Deep Neural Networks | DeepAI
Feb 27, 2017 - 02/27/17 - Skin cancer is one of the major types of cancers and its incidence has been increasing over the past decades. Skin lesions can ari...
deep neural networksskin lesionclassificationusinghybrid
https://bytez.com/docs/arxiv/1808.04433/paper
Out of the Black Box: Properties of deep neural networks and their applications | Read Paper on...
Aug 10, 2018 - Deep neural networks are powerful machine learning approaches that have exhibited excellent results on many classification tasks. However, they are considered...
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https://collaborate.princeton.edu/en/publications/fast-animal-pose-estimation-using-deep-neural-networks/
Fast animal pose estimation using deep neural networks - Princeton University
deep neural networkspose estimationprinceton universityfastanimal
https://it.mathworks.com/help/deeplearning/import-build-deep-neural-networks.html
Import and Build Deep Neural Networks - MATLAB & Simulink
Build networks using command-line functions or interactively using the Deep Network Designer app
deep neural networksimportbuildmatlabsimulink
https://openreview.net/forum?id=SCD0hn3kMHw
In What Ways Are Deep Neural Networks Invariant and How Should We Measure This? | OpenReview
We propose metrics to empirically measure invariance and equivariance and use these to answer questions about deep learning models.
deep neural networkswaysinvariantmeasureopenreview
https://research.tilburguniversity.edu/en/publications/feature-and-label-association-based-ongranulation-entropy-for-dee/
Feature and Label Association Based on Granulation Entropy for Deep Neural Networks - Tilburg...
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https://drive.google.com/file/d/10iwUx2FeIHq2kvS0zOnyikiHz3Tue0Py/view?usp=sharing
Akyena.Sarah.Forecasting.Unemployment.with.Deep.Neural.Networks.Masters.Thesis.pdf - Google Drive
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https://papers.nips.cc/paper_files/paper/2020/hash/657b96f0592803e25a4f07166fff289a-Abstract.html
Residual Distillation: Towards Portable Deep Neural Networks without Shortcuts
deep neural networksresidualdistillationtowardsportable
https://d1eu30co0ohy4w.cloudfront.net/pjamshidi/flexibo-a-decoupled-cost-aware-multi-objective-optimization-of-deep-neural-networks
FlexiBO: A Decoupled Cost-Aware Multi-Objective Optimization of Deep Neural Networks - Speaker Deck
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https://publications-cnrc.canada.ca/fra/voir/objet/?id=242549d0-5bb6-4b87-8b29-54a66f767d5f
Deep neural networks for direct, featureless learning through observation: the case of...
Deep neural networks for direct, featureless learning through observation: the case of two-dimensional spin models
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https://www.risk.net/ja/node/7954947
Alternatives to deep neural networks in finance - Risk.net
Nov 7, 2022 - Two methods to approximate complex functions in an explainable way are presented
deep neural networksalternatives tofinancerisk
https://www.rambus.com/tag/deep-neural-networks/
deep neural networks Archives - Rambus
deep neural networksarchivesrambus
https://www.coursera.org/learn/deep-neural-network?specialization=deep-learning&authMode=login
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization | Coursera
Offered by DeepLearning.AI. In the second course of the Deep Learning Specialization, you will open the deep learning black box to ... Enroll for free.
deep neural networkshyperparameter tuningimprovingregularizationoptimization
https://medcraveonline.com/IJBSBE/plant-tissue-differentiation-using-electrical-impedance-spectroscopy-with-deep-neural-networks.html
Plant tissue differentiation using electrical impedance spectroscopy with deep neural networks -...
Electrical Impedance Spectroscopy (EIS) has been demonstrated as a powerful tool in the diagnosis of many different medical conditions. Using the...
deep neural networksimpedance spectroscopyplanttissuedifferentiation
https://www.mdpi.com/1424-8220/21/22/7488
Sensor-Fusion for Smartphone Location Tracking Using Hybrid Multimodal Deep Neural Networks
Many engineered approaches have been proposed over the years for solving the hard problem of performing indoor localization using smartphone sensors. However,...
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https://jarxiv.com/2022/09/12/robust-and-lossless-fingerprinting-of-deep-neural-networks-via-pooled-membership-inference/
Robust and Lossless Fingerprinting of Deep Neural Networks via Pooled Membership Inference | jarxiv
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https://proceedings.neurips.cc/paper_files/paper/2022/hash/ed189de2611f200bd4c2ab30c576e99e-Abstract-Conference.html
Are You Stealing My Model? Sample Correlation for Fingerprinting Deep Neural Networks
deep neural networksare youmy modelstealingsample
https://agenda.infn.it/event/42066/?print=1
Towards Real-Time EPID-Based 3D in vivo Dosimetry for IMRT with Deep Neural Networks: a Feasibility...
Abstract: Abstract: Modern radiotherapy techniques can deliver highly conformal dose distributions, with steep dose gradients between the target and organs at...
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https://indico.nikhef.nl/event/4875/contributions/20317/
EuCAIFCon 2024 (April 30, 2024 - May 3, 2024): Advances in developing deep neural networks for...
Note: This indico page is used for handling abstract submission. To register for the conference please go to the EuCAIFCon24 registration website. Conference...
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https://huggingface.co/papers/2404.03176
Paper page - Information-Theoretic Generalization Bounds for Deep Neural Networks
Join the discussion on this paper page
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https://ijettjournal.org/archive/ijett-v67i3p224
Flying Object Detection and Classification using Deep Neural Networks
Unmanned Aerial Vehicles (UAVs) are extensively used everywhere in commercial applications such as delivering goods and medicines, taking photographs, and to...
deep neural networksobject detectionflyingclassificationusing
https://scads.ai/theses/hyperparameter-optimisation-of-deep-neural-networks-for-time-series-forecasting/
Hyperparameter optimisation of Deep Neural Networks for time-series forecasting - ScaDS.AI
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https://jmlr.org/papers/v24/22-0501.html
Integrating Random Effects in Deep Neural Networks
deep neural networksintegratingrandomeffects
https://repositorio.unal.edu.co/items/404467e4-c8fa-4de7-a764-88e565a761b4
Understanding and Implementing Deep Neural Networks for Unconditional Source Code Generation
Code Generation is a relevant problem in computer science, supporting the automation of tasks such as code completion, program synthesis, and program...
deep neural networkssource codeunderstandingimplementingunconditional
https://publica.fraunhofer.de/entities/publication/edf23d40-4a87-4c11-bcc5-708be25d2cb4
Forcing Interpretability for Deep Neural Networks through Rule-based Regularization
Remarkable progress in the field of machine learning strongly drives the research in many application domains. For some domains, it is mandatory that the...
deep neural networksforcinginterpretabilityrulebased
https://ijeecs.iaescore.com/index.php/IJEECS/article/view/44952
Language models and deep neural networks for Arabic named entity recognition | Khedimi | Indonesian...
Language models and deep neural networks for Arabic named entity recognition
deep neural networksnamed entity recognitionlanguage modelsarabicindonesian
https://www.freecodecamp.org/news/how-deep-neural-networks-work/
Learn how deep neural networks work (full course)
Aug 6, 2024 - Even if you are completely new to neural networks, this course from Brandon Rohrer will get you comfortable with the concepts and math behind them. Neural...
deep neural networkslearn howfull course
https://profiles.umsl.edu/en/publications/securing-critical-infrastructure-through-innovative-use-of-merged/
Securing Critical Infrastructure Through Innovative Use Of Merged Hierarchical Deep Neural Networks...
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https://arlinkdirectory.com/listings13382382/unveiling-the-power-of-deep-neural-networks-a-journey-into-artificial-intelligence
Unveiling the Power of Deep Neural Networks: A Journey into Artificial Intelligence
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https://researchr.org/publication/Rababaah22-3
Wind turbine signal fault diagnosis using deep neural networks-inspired model - researchr...
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https://news.ucr.edu/articles/2021/11/15/quickly-optimizing-deep-neural-networks-different-devices
Quickly optimizing deep neural networks for different devices | UCR News | UC Riverside
[UC Riverside computer scientists have come up with a simple, inexpensive way to optimize deep neural networks, or DNNs, for numerous devices across different...
deep neural networksuc riversidequicklyoptimizingdifferent
https://www.epj-conferences.org/articles/epjconf/abs/2021/01/epjconf_physor2020_15016/epjconf_physor2020_15016.html
MODELING NUCLEAR DATA UNCERTAINTIES USING DEEP NEURAL NETWORKS | EPJ Web of Conferences
EPJ Web of Conferences, open-access proceedings in physics and astronomy
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https://pure.skku.edu/en/publications/analyzing-deep-neural-networks-with-noisy-labels/
Analyzing deep neural networks with noisy labels - Sungkyunkwan University
deep neural networkssungkyunkwan universityanalyzingnoisylabels
https://scholars.duke.edu/publication/1629431
Scholars@Duke publication: Database Native Model Selection: Harnessing Deep Neural Networks in...
deep neural networkspublication databasemodel selectionscholarsduke
https://networks.imdea.org/whatsnew/events-agenda/sparsity-modularity-and-structural-plasticity-in-deep-neural-networks/
Sparsity, modularity, and structural plasticity in deep neural networks - IMDEA Networks : IMDEA...
Nov 29, 2024 - There is a growing overlap between Machine Learning, Neuroscience, and Network Theory. These three disciplines create a fertile inter-disciplinary cycle: a)...
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https://cris.iucc.ac.il/en/publications/deep-neural-networks-as-similitude-models-for-sharing-big-data/
Deep Neural Networks as Similitude Models for Sharing Big Data - Israeli Research Community Portal
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https://research.ibm.com/publications/phase-change-memory-based-hardware-accelerators-for-deep-neural-networks-invited
Phase Change Memory-based Hardware Accelerators for Deep Neural Networks for VLSI Technology 2023 -...
Phase Change Memory-based Hardware Accelerators for Deep Neural Networks for VLSI Technology 2023 by Geoffrey Burr et al.
deep neural networksphase changememorybasedhardware
https://bdtd.ibict.br/vufind/Record/UFPE_5536f828d98aaade9912d54a9b2efb2a
Metadados do item: Loss Function Modeling for Deep Neural Networks Applied to Pixel-level Tasks
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https://research.rciueducation.org/en/publications/modeling-recidivism-through-bayesian-regression-models-and-deep-n-3/
Modeling recidivism through bayesian regression models and deep neural networks - Regnum Christi...
deep neural networksregression modelsregnum christimodelingrecidivism
https://odr.chalmers.se/items/eb4a8313-d81d-427d-8ed9-28fa205eefc5
Camera LiDAR active learning for object detecting deep neural networks
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https://par.nsf.gov/biblio/10570230-transbug-transformer-assisted-bug-detection-diagnosis-deep-neural-networks
TransBug: Transformer-Assisted Bug Detection and Diagnosis in Deep Neural Networks | NSF Public...
This page contains metadata information for the record with PAR ID 10570230
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https://www.studydrive.net/en/flashcards/deep-neural-networks-and-the-brain/70911
Deep Neural Networks and the Brain - Studydrive
Master your exams playfully: study our free flashcards!
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https://www.energymonitor.ai/research-reports/enot-ai-unveils-framework-to-optimize-deep-neural-networks/
Enot.ai Unveils Framework to Optimize Deep Neural Networks
Apr 14, 2022 - Latvia-based startup Enot.ai has unveiled the AutoDL framework, an AI-driven optimization technology for neural network compression and acceleration.
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https://scholarsmine.mst.edu/ele_comeng_facwork/4541/
"Heuristic-Based Automatic Pruning of Deep Neural Networks" by Tejalal Choudhary, Vipul Mishra et...
The performance of a deep neural network (deep NN) is dependent upon a significant number of weight parameters that need to be trained which is a computational...
deep neural networksheuristicbasedautomaticpruning
https://www.isca-archive.org/interspeech_2016/ghahabi16_interspeech.html
ISCA Archive - Deep Neural Networks for i-Vector Language Identification of Short Utterances in Cars
deep neural networksisca archivelanguage identificationvectorshort
https://aisecurity-portal.org/en/literature-database/one-pixel-attack-for-fooling-deep-neural-networks/
One pixel attack for fooling deep neural networks | AI Security Portal
deep neural networksai securityonepixelattack
https://arxiv.org/abs/1611.01773v5
[1611.01773v5] Multi-way Backpropagation for Training Compact Deep Neural Networks
Abstract page for arXiv paper 1611.01773v5: Multi-way Backpropagation for Training Compact Deep Neural Networks
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https://www.geog.uni-heidelberg.de/de/kalender/classification-of-3d-point-clouds-using-deep-neural-networks-2018-06-18
Classification of 3D Point Clouds using Deep Neural Networks - Geographisches Institut
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https://boa.unimib.it/handle/10281/274086
Investigating the Compositional Structure Of Deep Neural Networks
deep neural networksinvestigatingstructure
https://www.catalyzex.com/paper/recurrent-feedback-improves-feedforward
Recurrent Feedback Improves Feedforward Representations in Deep Neural Networks
Recurrent Feedback Improves Feedforward Representations in Deep Neural Networks: Paper and Code. The abundant recurrent horizontal and feedback connections in...
deep neural networksrecurrentfeedbackimprovesrepresentations
https://www.azoai.com/news/20250114/Deep-Neural-Networks-Unlock-the-Secret-to-Simplified-Learning.aspx
Deep Neural Networks Unlock the Secret to Simplified Learning
Jan 14, 2025 - Researchers at Oxford University uncover how deep neural networks possess an intrinsic simplicity bias, enabling them to generalize effectively by favoring...
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https://proceedings.mlr.press/v97/simsekli19a.html
A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks
May 24, 2019 - A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural NetworksUmut Simsekli, Levent Sagun, Mert GurbuzbalabanThe gradient noise (GN) in...
deep neural networksindex analysistailstochasticgradient
https://pure.ups.edu.ec/en/publications/quantization-of-deep-neural-networks-for-medical-image-analysis-a/
Quantization of Deep Neural Networks for Medical Image Analysis: A Systematic Review and...
deep neural networksmedical image analysissystematic reviewquantization
https://www.yourtechnewsblog.com/2022/01/explainable-forecasting-and-nowcasting.html
Explainable Forecasting and Nowcasting with State-of-the-art Deep Neural Networks and Dynamic...
Technology Futures tracks changes in top tech. The content focuses on mobility, data science, gaming, and cloud. Comments are encouraged.
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https://trepo.tuni.fi/handle/10024/162114
Zero to DLA: Building a Software Stack for Accelerating Deep Neural Networks on Custom RISC-V SoC -...
deep neural networkssoftware stackzerodlabuilding
https://www.eurecom.fr/fr/publication/8042
Slice resource allocation with multiple edge-exit distributed deep neural networks | EURECOM
deep neural networksresource allocationslicemultipleedge
https://imatge.upc.edu/web/publications/video-saliency-prediction-deep-neural-networks
Video Saliency Prediction with Deep Neural Networks | Image Processing Group
deep neural networksimage processingvideopredictiongroup
https://sciengineer.com/ondemand/deep-neural-networks-in-multiphysics-simulations/
Deep Neural Networks in Multiphysics Simulations - SciEngineer
Aug 14, 2025 - Boost multiphysics simulations with surrogate models in COMSOL Multiphysics. Learn how deep neural networks can revolutionize the way we approach complex...
deep neural networksmultiphysicssimulations