1
A review of lane detection methods based on deep learning
2
Collaborative Edge Computing With FPGA-Based CNN Accelerators for Energy-Efficient and Time-Aware Face Tracking System
3
Understanding deep learning (still) requires rethinking generalization
4
Deep Learning Algorithm Trained with COVID-19 Pneumonia Also Identifies Immune Checkpoint Inhibitor Therapy-Related Pneumonitis
5
Deep convolutional neural networks to predict cardiovascular risk from computed tomography
6
Convolutional neural networks for medical image analysis: State-of-the-art, comparisons, improvement and perspectives
7
FPGA Implementation for CNN-Based Optical Remote Sensing Object Detection
8
Deep Learning applications for COVID-19
9
A hybrid method for heartbeat classification via convolutional neural networks, multilayer perceptrons and focal loss
10
A machine learning framework for the prediction of chromatin folding in Drosophila using epigenetic features
11
Big data clustering techniques based on Spark: a literature review
12
Effects of data count and image scaling on Deep Learning training
13
Underspecification Presents Challenges for Credibility in Modern Machine Learning
14
Machine Learning in the Prevention, Diagnosis and Management of Diabetic Foot Ulcers: A Systematic Review
15
Deep Learning in Selected Cancers’ Image Analysis—A Survey
16
An interpretable deep-learning architecture of capsule networks for identifying cell-type gene expression programs from single-cell RNA-sequencing data
17
Vision and Deep Learning-Based Algorithms to Detect and Quantify Cracks on Concrete Surfaces from UAV Videos
18
Lightweight and Resource-Constrained Learning Network for Face Recognition with Performance Optimization
19
Compact video fingerprinting via an improved capsule net
20
Public welfare organization management system based on FPGA and deep learning
21
MetaCOVID: A Siamese neural network framework with contrastive loss for n-shot diagnosis of COVID-19 patients
22
A Convolutional Neural Network Framework for Accurate Skin Cancer Detection
23
Boosted EfficientNet: Detection of Lymph Node Metastases in Breast Cancer Using Convolutional Neural Networks
24
Deep Learning in Diabetic Foot Ulcers Detection: A Comprehensive Evaluation
25
Applications of artificial intelligence in battling against covid-19: A literature review
26
Review of the State of the Art of Deep Learning for Plant Diseases: A Broad Analysis and Discussion
27
Attention-Guided Multi-Branch Convolutional Neural Network for Mitosis Detection From Histopathological Images
28
JPEG steganalysis based on ResNeXt with Gauss partial derivative filters
29
Classification and Region Analysis of COVID-19 Infection using Lung CT Images and Deep Convolutional Neural Networks
30
A novel solution of using deep learning for left ventricle detection: Enhanced feature extraction
31
Analysis and best parameters selection for person recognition based on gait model using CNN algorithm and image augmentation
32
Computer-aided detection of COVID-19 from X-ray images using multi-CNN and Bayesnet classifier
33
Deep learning-based ResNeXt model in phycological studies for future
34
Joint Age Estimation and Gender Classification of Asian Faces Using Wide ResNet
35
EnsemConvNet: a deep learning approach for human activity recognition using smartphone sensors for healthcare applications
36
Breast Cancer Histopathology Image Classification Using an Ensemble of Deep Learning Models
37
An Automated Biometric Identification System Using CNN-Based Palm Vein Recognition
38
A Novel Medical Diagnosis model for COVID-19 infection detection based on Deep Features and Bayesian Optimization
39
Integrating uncertainty in deep neural networks for MRI based stroke analysis
40
An Efficient Mixture of Deep and Machine Learning Models for COVID-19 and Tuberculosis Detection Using X-Ray Images in Resource Limited Settings
41
Deep learning for small and big data in psychiatry
42
Convolutional capsnet: A novel artificial neural network approach to detect COVID-19 disease from X-ray images using capsule networks
43
Current Trends of Artificial Intelligence for Colorectal Cancer Pathology Image Analysis: A Systematic Review
44
Deep Learning for Multigrade Brain Tumor Classification in Smart Healthcare Systems: A Prospective Survey
45
Towards a Better Understanding of Transfer Learning for Medical Imaging: A Case Study
46
Deep learning techniques for skin lesion analysis and melanoma cancer detection: a survey of state-of-the-art
47
Evolutionary Programming Based Deep Learning Feature Selection and Network Construction for Visual Data Classification
48
Optogenetics inspired transition metal dichalcogenide neuristors for in-memory deep recurrent neural networks
49
Explainable Deep Learning for Pulmonary Disease and Coronavirus COVID-19 Detection from X-rays
50
Skin Lesions Classification Into Eight Classes for ISIC 2019 Using Deep Convolutional Neural Network and Transfer Learning
51
DeepSTORM3D: dense 3D localization microscopy and PSF design by deep learning
52
A review of object detection based on deep learning
53
Artificial Intelligence and COVID-19: Deep Learning Approaches for Diagnosis and Treatment
54
Improving performance of CNN to predict likelihood of COVID-19 using chest X-ray images with preprocessing algorithms
55
A Noise-Robust Framework for Automatic Segmentation of COVID-19 Pneumonia Lesions From CT Images
56
Predicting tumour mutational burden from histopathological images using multiscale deep learning
57
MaskMitosis: a deep learning framework for fully supervised, weakly supervised, and unsupervised mitosis detection in histopathology images
58
ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural Network
59
Automated invasive ductal carcinoma detection based using deep transfer learning with whole-slide images
60
COVID-19 Chest CT Image Segmentation - A Deep Convolutional Neural Network Solution
61
A modified deep convolutional neural network for detecting COVID-19 and pneumonia from chest X-ray images based on the concatenation of Xception and ResNet50V2
62
Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation, and Diagnosis for COVID-19
63
Non-Rigid 2D-3D Registration Using Convolutional Autoencoders
64
Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks
65
An Overview on the Latest Nature-Inspired and Metaheuristics-Based Image Registration Algorithms
66
Optimizing the Performance of Breast Cancer Classification by Employing the Same Domain Transfer Learning from Hybrid Deep Convolutional Neural Network Model
67
Deep Learning Models for Classification of Red Blood Cells in Microscopy Images to Aid in Sickle Cell Anemia Diagnosis
68
Hybrid deep learning for detecting lung diseases from X-ray images
69
Artificial Intelligence-Based Mitosis Detection in Breast Cancer Histopathology Images Using Faster R-CNN and Deep CNNs
70
A Deep Learning System to Screen Novel Coronavirus Disease 2019 Pneumonia
71
An Optimal Feature Parameter Set Based on Gated Recurrent Unit Recurrent Neural Networks for Speech Segment Detection
72
A Deep Siamese Convolution Neural Network for Multi-Class Classification of Alzheimer Disease
73
RADC-Net: A residual attention based convolution network for aerial scene classification
74
BreakHis based breast cancer automatic diagnosis using deep learning: Taxonomy, survey and insights
75
Theory of deep convolutional neural networks: Downsampling
76
Design of a deep learning model for automatic scoring of periodic and non-periodic leg movements during sleep validated against multiple human experts.
77
A Novel Transfer Learning Based Approach for Pneumonia Detection in Chest X-ray Images
78
U1 snRNP regulates cancer cell migration and invasion in vitro
79
Skin cancer diagnosis based on optimized convolutional neural network
80
Learning to Pay Attention on Spectral Domain: A Spectral Attention Module-Based Convolutional Network for Hyperspectral Image Classification
81
Computer vision for behaviour-based safety in construction: A review and future directions
82
Deep neural network models for computational histopathology: A survey
83
Deep learning in medical image registration: a review
84
Characterizing the Decision Boundary of Deep Neural Networks
85
A Survey of Deep Learning Applications to Autonomous Vehicle Control
86
Convolutional neural network: a review of models, methodologies and applications to object detection
87
Deep learning-based survival prediction for multiple cancer types using histopathology images
88
Deep convolutional neural network based medical image classification for disease diagnosis
89
Volume-preserving Neural Networks: A Solution to the Vanishing Gradient Problem
90
AssemblyNet: A large ensemble of CNNs for 3D whole brain MRI segmentation
91
Fixed Pattern Noise Reduction for Infrared Images Based on Cascade Residual Attention CNN
92
Convolutional neural networks for multi-class brain disease detection using MRI images
93
ReLTanh: An activation function with vanishing gradient resistance for SAE-based DNNs and its application to rotating machinery fault diagnosis
94
Multi-class Breast Cancer Classification by a Novel Two-Branch Deep Convolutional Neural Network Architecture
95
A survey of techniques for optimizing deep learning on GPUs
96
Markerless pancreatic tumor target localization enabled by deep learning.
97
Long short-term memory-based deep recurrent neural networks for target tracking
98
DeepCryoPicker: fully automated deep neural network for single protein particle picking in cryo-EM
99
Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions
100
Deep learning in medical image analysis: a third eye for doctors.
101
Deep neural network ensemble for pneumonia localization from a large-scale chest x-ray database
102
A review on brain tumor segmentation of MRI images.
103
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation
104
Learning from simulation: An end-to-end deep-learning approach for computational ghost imaging.
105
Pterygium-Net: a deep learning approach to pterygium detection and localization
106
Deep High-Resolution Representation Learning for Visual Recognition
107
Recent Advances in Deep Learning for Object Detection
108
Current applications and future directions of deep learning in musculoskeletal radiology
109
Deep Learning-Based Real-Time Multiple-Object Detection and Tracking from Aerial Imagery via a Flying Robot with GPU-Based Embedded Devices
110
DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks
111
Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images
112
A Survey of Deep Learning-Based Object Detection
113
Brain Tumor Segmentation Using Multi-Cascaded Convolutional Neural Networks and Conditional Random Field
114
A survey on Image Data Augmentation for Deep Learning
115
CLU-CNNs: Object detection for medical images
116
A novel deep learning based framework for the detection and classification of breast cancer using transfer learning
117
Benchmarking HEp-2 specimen cells classification using linear discriminant analysis on higher order spectra features of cell shape
118
DFU_QUTNet: diabetic foot ulcer classification using novel deep convolutional neural network
119
Brain and lesion segmentation in multiple sclerosis using fully convolutional neural networks: A large-scale study
120
Convolutional neural networks for computer-aided detection or diagnosis in medical image analysis: An overview.
121
A Robust Sentiment Analysis Method Based on Sequential Combination of Convolutional and Recursive Neural Networks
122
DREAMPIace: Deep Learning Toolkit-Enabled GPU Acceleration for Modern VLSI Placement
123
An Xception Convolutional Neural Network for Malware Classification with Transfer Learning
124
Vanishing Gradient Mitigation with Deep Learning Neural Network Optimization
125
Teeth category classification via seven‐layer deep convolutional neural network with max pooling and global average pooling
126
Capsulenet-Based Spatial–Spectral Classifier for Hyperspectral Images
127
Deep learning-based face analysis system for monitoring customer interest
128
Skin cancer detection by deep learning and sound analysis algorithms: A prospective clinical study of an elementary dermoscope
129
Review of Deep Learning Algorithms and Architectures
130
Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation
131
End-to-end acoustic modeling using convolutional neural networks for HMM-based automatic speech recognition
132
Dual-force convolutional neural networks for accurate brain tumor segmentation
133
Overcoming Catastrophic Forgetting With Unlabeled Data in the Wild
134
Survey on deep learning with class imbalance
135
Multi-Representational Learning for Offline Signature Verification using Multi-Loss Snapshot Ensemble of CNNs
136
Deep learning in medical image registration: a survey
137
A State-of-the-Art Survey on Deep Learning Theory and Architectures
138
Deep Learning-Based Image Segmentation on Multimodal Medical Imaging
139
Deep learning in bioinformatics: introduction, application, and perspective in big data era
140
Efficient Memory Management for GPU-based Deep Learning Systems
141
Transfusion: Understanding Transfer Learning for Medical Imaging
142
A review of Convolutional-Neural-Network-based action recognition
143
Overfitting remedy by sparsifying regularization on fully-connected layers of CNNs
144
Optimization of the Area Under the ROC Curve using Neural Network Supervectors for Text-Dependent Speaker Verification
145
ML for Flood Forecasting at Scale
146
Application of Big Data and Machine Learning in Smart Grid, and Associated Security Concerns: A Review
147
A survey of the recent architectures of deep convolutional neural networks
148
Randomized controlled trial of a 12-week digital care program in improving low back pain
149
High-performance medicine: the convergence of human and artificial intelligence
150
FPGA-Based Accelerators of Deep Learning Networks for Learning and Classification: A Review
151
A guide to deep learning in healthcare
152
Real-Time Underwater Image Recognition with FPGA Embedded System for Convolutional Neural Network
153
Short-Term Residential Load Forecasting Based on LSTM Recurrent Neural Network
154
Deep Learning on Graphs: A Survey
155
Boosting Convolutional Neural Networks Performance Based on FPGA Accelerator
156
Skin Cancer Classification using Deep Learning and Transfer Learning
157
LEARN Codes: Inventing Low-Latency Codes via Recurrent Neural Networks
158
DeepMapping: Unsupervised Map Estimation From Multiple Point Clouds
159
An overview of deep learning in medical imaging focusing on MRI
160
Data Augmentation Using Random Image Cropping and Patching for Deep CNNs
161
Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer
162
Interpretable deep learning for guided microstructure-property explorations in photovoltaics
163
Densely connected convolutional networks for detection of atrial fibrillation from short single-lead ECG recordings.
164
Forward Noise Adjustment Scheme for Data Augmentation
165
Filter-based Deep-Compression with Global Average Pooling for Convolutional Networks
166
Two-phase multi-model automatic brain tumour diagnosis system from magnetic resonance images using convolutional neural networks
167
Three Mechanisms of Weight Decay Regularization
168
Accelerating Flash Calculation through Deep Learning Methods
169
A Survey on Deep Learning
170
A deep learning framework for unsupervised affine and deformable image registration
171
Contextual Audio-Visual Switching For Speech Enhancement in Real-World Environments
172
Recalibrating Fully Convolutional Networks With Spatial and Channel “Squeeze and Excitation” Blocks
173
On the Decision Boundary of Deep Neural Networks
174
Clinically applicable deep learning for diagnosis and referral in retinal disease
175
Deep Learning for Single Image Super-Resolution: A Brief Review
176
A Survey on Deep Transfer Learning
177
Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation
178
Energy‐based tuning of convolutional neural networks on multi‐GPUs
179
Object Detection With Deep Learning: A Review
180
Image super-resolution with densely connected convolutional networks
181
Autonomous Deep Learning: A Genetic DCNN Designer for Image Classification
182
Adaptive Spatial-Scale-Aware Deep Convolutional Neural Network for High-Resolution Remote Sensing Imagery Scene Classification
183
Group Equivariant Capsule Networks
184
Concurrence of big data analytics and healthcare: A systematic review
185
Improved Adam Optimizer for Deep Neural Networks
186
The rise of deep learning in drug discovery.
187
Deep residual learning for image steganalysis
188
Imagination Machines: A New Challenge for Artificial Intelligence
189
Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional Networks
190
The skin cancer classification using deep convolutional neural network
191
Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning
192
Continual Lifelong Learning with Neural Networks: A Review
193
Fair comparison of skin detection approaches on publicly available datasets
194
Inner and Outer Recursive Neural Networks for Chemoinformatics Applications
195
Which Neural Net Architectures Give Rise To Exploding and Vanishing Gradients?
196
Model Compression and Acceleration for Deep Neural Networks: The Principles, Progress, and Challenges
197
Distilling the Knowledge From Handcrafted Features for Human Activity Recognition
198
Lifelong learning of human actions with deep neural network self-organization
199
Identifying child abuse through text mining and machine learning
200
DFUNet: Convolutional Neural Networks for Diabetic Foot Ulcer Classification
201
Unsupervised 3D Reconstruction from a Single Image via Adversarial Learning
202
3D Reconstruction of Incomplete Archaeological Objects Using a Generative Adversarial Network
203
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
204
Dynamic Routing Between Capsules
205
DEEPre: sequence-based enzyme EC number prediction by deep learning
206
Squeeze-and-Excitation Networks
207
Incremental Learning of Object Detectors without Catastrophic Forgetting
208
Deep Reinforcement Learning: A Brief Survey
209
Recent Trends in Deep Learning Based Natural Language Processing
210
Hebbian plasticity in vivo: relevance and induction
211
Learning to Read Chest X-Ray Images from 16000+ Examples Using CNN
212
Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions
213
Opportunities and obstacles for deep learning in biology and medicine
214
Residual Attention Network for Image Classification
215
A survey of deep neural network architectures and their applications
216
Quicksilver: Fast predictive image registration – A deep learning approach
217
Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks
218
The temporal paradox of Hebbian learning and homeostatic plasticity
219
Axiomatic Attribution for Deep Networks
220
A survey on deep learning in medical image analysis
221
QCD-aware recursive neural networks for jet physics
222
Dermatologist-level classification of skin cancer with deep neural networks
223
Regularizing Neural Networks by Penalizing Confident Output Distributions
224
Residual and plain convolutional neural networks for 3D brain MRI classification
225
Deep learning for computational chemistry
226
iCaRL: Incremental Classifier and Representation Learning
227
Aggregated Residual Transformations for Deep Neural Networks
228
A Study of Complex Deep Learning Networks on High Performance, Neuromorphic, and Quantum Computers
229
Understanding deep learning requires rethinking generalization
230
High-Throughput Classification of Radiographs Using Deep Convolutional Neural Networks
231
Deep Pyramidal Residual Networks
232
Learning Semantic Deformation Flows with 3D Convolutional Networks
233
Xception: Deep Learning with Depthwise Separable Convolutions
234
An overview of gradient descent optimization algorithms
235
Densely Connected Convolutional Networks
236
RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism
237
Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification
238
Structured prediction models for RNN based sequence labeling in clinical text
239
End-to-End Image Super-Resolution via Deep and Shallow Convolutional Networks
240
A Phase II nonparametric adaptive exponentially weighted moving average control chart
241
A Taxonomy and Library for Visualizing Learned Features in Convolutional Neural Networks
242
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
243
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
244
A survey of transfer learning
245
Wide Residual Networks
246
Automatic Segmentation of MR Brain Images With a Convolutional Neural Network
247
Deep Networks with Stochastic Depth
248
Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images
249
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
250
“Why Should I Trust You?”: Explaining the Predictions of Any Classifier
251
A survey of transfer learning for collaborative recommendation with auxiliary data
252
AggNet: Deep Learning From Crowds for Mitosis Detection in Breast Cancer Histology Images
253
Content-Based Video Recommendation System Based on Stylistic Visual Features
254
Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images
255
A CNN Regression Approach for Real-Time 2D/3D Registration
256
Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images
257
Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition
258
Recent advances in convolutional neural networks
259
Deep Residual Learning for Image Recognition
260
Rethinking the Inception Architecture for Computer Vision
261
AUC-maximized Deep Convolutional Neural Fields for Sequence Labeling
262
LBANN: livermore big artificial neural network HPC toolkit
263
Batch normalized recurrent neural networks
264
Survey of review spam detection using machine learning techniques
265
Deep Compression: Compressing Deep Neural Network with Pruning, Trained Quantization and Huffman Coding
266
Predicting effects of noncoding variants with deep learning–based sequence model
267
Multi-scale Convolutional Neural Networks for Lung Nodule Classification
268
Spatial Transformer Networks
269
U-Net: Convolutional Networks for Biomedical Image Segmentation
270
Brain tumor segmentation with Deep Neural Networks
271
Empirical Evaluation of Rectified Activations in Convolutional Network
273
Anatomy-specific classification of medical images using deep convolutional nets
274
A Review On Evaluation Metrics For Data Classification Evaluations
275
Distilling the Knowledge in a Neural Network
276
Human-level control through deep reinforcement learning
277
Deep learning applications and challenges in big data analytics
278
RMSProp and equilibrated adaptive learning rates for non-convex optimization
279
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
280
Obtaining Well Calibrated Probabilities Using Bayesian Binning
281
How transferable are features in deep neural networks?
282
Going deeper with convolutions
283
Deep Learning Based Imaging Data Completion for Improved Brain Disease Diagnosis
284
Very Deep Convolutional Networks for Large-Scale Image Recognition
285
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation
286
Sample Subset Optimization Techniques for Imbalanced and Ensemble Learning Problems in Bioinformatics Applications
287
How to Construct Deep Recurrent Neural Networks
289
Top-Down Regularization of Deep Belief Networks
290
Visualizing and Understanding Convolutional Networks
291
Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
292
Mitosis Detection in Breast Cancer Histology Images with Deep Neural Networks
293
Stacked Autoencoders for Unsupervised Feature Learning and Multiple Organ Detection in a Pilot Study Using 4D Patient Data
294
Transfer learning for activity recognition: a survey
295
Improving deep neural networks for LVCSR using rectified linear units and dropout
296
ImageNet classification with deep convolutional neural networks
297
Multi-column deep neural network for traffic sign classification
298
Building high-level features using large scale unsupervised learning
299
A comparative study of state-of-the-art evolutionary image registration methods for 3D modeling
300
Parsing Natural Scenes and Natural Language with Recursive Neural Networks
301
Sample Subset Optimization for Classifying Imbalanced Biological Data
302
A Survey on Transfer Learning
303
Semantics-Preserving Bag-of-Words Models and Applications
304
Efficient Learning of Deep Boltzmann Machines
305
Understanding the difficulty of training deep feedforward neural networks
306
ImageNet: A large-scale hierarchical image database
307
Unsupervised Learning of Invariant Feature Hierarchies with Applications to Object Recognition
308
Confidence-based classifier design
309
An introduction to ROC analysis
310
Histograms of oriented gradients for human detection
311
Using AUC and accuracy in evaluating learning algorithms
312
Tree Induction for Probability-Based Ranking
313
A Simple Generalisation of the Area Under the ROC Curve for Multiple Class Classification Problems
314
Obtaining calibrated probability estimates from decision trees and naive Bayesian classifiers
315
Object recognition from local scale-invariant features
316
The Vanishing Gradient Problem During Learning Recurrent Neural Nets and Problem Solutions
317
Efficient densely connected convolutional neural networks
318
Real-Time Sickle Cell Anemia Diagnosis Based Hardware Accelerator
319
PartMitosis: A Partially Supervised Deep Learning Framework for Mitosis Detection in Breast Cancer Histopathology Images
320
Early Disease Classification of Mango Leaves Using Feed-Forward Neural Network and Hybrid Metaheuristic Feature Selection
321
Turing award won by 3 pioneers in artificial intelligence. The New York Times
322
ChestX-ray: Hospital-Scale Chest X-ray Database and Benchmarks on Weakly Supervised Classification and Localization of Common Thorax Diseases
323
Patch-based system for Classification of Breast Histology images using deep learning
324
Multi-Resolution CNN and Knowledge Transfer for Candidate Classification in Lung Nodule Detection
325
So Kweon I. CBAM: Convolutional block attention module
326
Deep Learning Applications in Medical Image Analysis
327
Alzheimer's disease diagnostics by a 3D deeply supervised adaptable convolutional network.
328
Alzheimer rsquo s disease diagnostics by a 3D deeply supervised adaptable convolutional network
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Uci machine learning repository. Irvine: University of california. School of Information and Computer Science
330
Preventing Gradient Explosions in Gated Recurrent Units
333
Dropout: a simple way to prevent neural networks from overfitting
334
Transfer learning for pedestrian detection
335
Neural networks for machine learning lecture 6a overview of mini-batch gradient descent
336
Large-Scale Machine Learning with Stochastic Gradient Descent
337
Visualizing Higher-Layer Features of a Deep Network
338
Consistency of support vector machines and other regularized kernel classifiers
339
Optimizing area under roc with SVMS
341
Probabilistic Outputs for Support vector Machines and Comparisons to Regularized Likelihood Methods
342
Learning task-dependent distributed representations by backpropagation through structure
343
Learning algorithms for classification: A comparison on handwritten digit recognition
344
Using fast weights to deblur old memories
345
Receptive fields, binocular interaction and functional architecture in the cat's visual cortex
346
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations
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Supplementary material - Beyond exploding and vanishing gradients: analysing RNN training using attractors and smoothness
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Computers in Biology and Medicine
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This paper is included in the Proceedings of the 14th USENIX Symposium on Operating Systems Design and Implementation
