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| id | author | title | date | words | sentences | text |
|---|---|---|---|---|---|---|
| cord-028792-6a4jfz94 | Basly, Hend | CNN-SVM Learning Approach Based Human Activity Recognition | 2020-06-05 | 3570.0 | 178.0 | view text |
| cord-027732-8i8bwlh8 | Boudaya, Amal | EEG-Based Hypo-vigilance Detection Using Convolutional Neural Network | 2020-05-31 | 2337.0 | 148.0 | view text |
| cord-175846-aguwenwo | Chatsiou, Kakia | Text Classification of Manifestos and COVID-19 Press Briefings using BERT and Convolutional Neural Networks | 2020-10-20 | 3188.0 | 192.0 | view text |
| cord-255884-0qqg10y4 | Chiroma, H. | Early survey with bibliometric analysis on machine learning approaches in controlling coronavirus | 2020-11-05 | 13197.0 | 767.0 | view text |
| cord-133273-kvyzuayp | Christ, Andreas | Artificial Intelligence: Research Impact on Key Industries; the Upper-Rhine Artificial Intelligence Symposium (UR-AI 2020) | 2020-10-05 | nan | nan | view text |
| cord-308219-97gor71p | Elzeiny, Sami | Stress Classification Using Photoplethysmogram-Based Spatial and Frequency Domain Images | 2020-09-17 | 5697.0 | 312.0 | view text |
| cord-354819-gkbfbh00 | Islam, Md. Zabirul | A Combined Deep CNN-LSTM Network for the Detection of Novel Coronavirus (COVID-19) Using X-ray Images | 2020-08-15 | 3669.0 | 238.0 | view text |
| cord-249065-6yt3uqyy | Kassani, Sara Hosseinzadeh | Automatic Detection of Coronavirus Disease (COVID-19) in X-ray and CT Images: A Machine Learning-Based Approach | 2020-04-22 | 4285.0 | 229.0 | view text |
| cord-266055-ki4gkoc8 | Kikkisetti, S. | Deep-learning convolutional neural networks with transfer learning accurately classify COVID19 lung infection on portable chest radiographs | 2020-09-02 | 3433.0 | 228.0 | view text |
| cord-190424-466a35jf | Lee, Sang Won | Darwin''s Neural Network: AI-based Strategies for Rapid and Scalable Cell and Coronavirus Screening | 2020-07-22 | 5680.0 | 302.0 | view text |
| cord-032684-muh5rwla | Madichetty, Sreenivasulu | A stacked convolutional neural network for detecting the resource tweets during a disaster | 2020-09-25 | 6980.0 | 418.0 | view text |
| cord-319868-rtt9i7wu | Majeed, Taban | Issues associated with deploying CNN transfer learning to detect COVID-19 from chest X-rays | 2020-10-06 | 7666.0 | 377.0 | view text |
| cord-325235-uupiv7wh | Makris, A. | COVID-19 detection from chest X-Ray images using Deep Learning and Convolutional Neural Networks | 2020-05-24 | 5435.0 | 304.0 | view text |
| cord-256756-8w5rtucg | Manimala, M. V. R. | Sparse MR Image Reconstruction Considering Rician Noise Models: A CNN Approach | 2020-08-11 | 6681.0 | 411.0 | view text |
| cord-317643-pk8cabxj | Masud, Mehedi | Convolutional neural network-based models for diagnosis of breast cancer | 2020-10-09 | 4149.0 | 276.0 | view text |
| cord-337740-8ujk830g | Matencio, Adrián | Cyclic Oligosaccharides as Active Drugs, an Updated Review | 2020-09-29 | 8089.0 | 385.0 | view text |
| cord-275258-azpg5yrh | Mead, Dylan J.T. | Visualization of protein sequence space with force-directed graphs, and their application to the choice of target-template pairs for homology modelling | 2019-07-26 | 6333.0 | 346.0 | view text |
| cord-286887-s8lvimt3 | Nour, Majid | A Novel Medical Diagnosis model for COVID-19 infection detection based on Deep Features and Bayesian Optimization | 2020-07-28 | 3686.0 | 250.0 | view text |
| cord-330239-l8fp8cvz | Oyelade, O. N. | Deep Learning Model for Improving the Characterization of Coronavirus on Chest X-ray Images Using CNN | 2020-11-03 | 6444.0 | 325.0 | view text |
| cord-168974-w80gndka | Ozkaya, Umut | Coronavirus (COVID-19) Classification using Deep Features Fusion and Ranking Technique | 2020-04-07 | 3585.0 | 254.0 | view text |
| cord-131094-1zz8rd3h | Parisi, L. | QReLU and m-QReLU: Two novel quantum activation functions to aid medical diagnostics | 2020-10-15 | 7546.0 | 325.0 | view text |
| cord-135296-qv7pacau | Polsinelli, Matteo | A Light CNN for detecting COVID-19 from CT scans of the chest | 2020-04-24 | 3833.0 | 194.0 | view text |
| cord-296359-pt86juvr | Polsinelli, Matteo | A Light CNN for detecting COVID-19 from CT scans of the chest | 2020-10-03 | 3887.0 | 201.0 | view text |
| cord-127759-wpqdtdjs | Qi, Xiao | Chest X-ray Image Phase Features for Improved Diagnosis of COVID-19 Using Convolutional Neural Network | 2020-11-06 | 3896.0 | 250.0 | view text |
| cord-024491-f16d1zov | Qiu, Xi | Simultaneous ECG Heartbeat Segmentation and Classification with Feature Fusion and Long Term Context Dependencies | 2020-04-17 | 3465.0 | 245.0 | view text |
| cord-269270-i2odcsx7 | Sahlol, Ahmed T. | COVID-19 image classification using deep features and fractional-order marine predators algorithm | 2020-09-21 | 7058.0 | 437.0 | view text |
| cord-258170-kyztc1jp | Shorfuzzaman, Mohammad | Towards the sustainable development of smart cities through mass video surveillance: A response to the COVID-19 pandemic | 2020-11-05 | 5371.0 | 300.0 | view text |
| cord-102774-mtbo1tnq | Sun, Yuliang | Real-Time Radar-Based Gesture Detection and Recognition Built in an Edge-Computing Platform | 2020-05-20 | 6381.0 | 348.0 | view text |
| cord-202184-hh7hugqi | Wang, Jun | Boosted EfficientNet: Detection of Lymph Node Metastases in Breast Cancer Using Convolutional Neural Network | 2020-10-10 | 5291.0 | 319.0 | view text |
| cord-103297-4stnx8dw | Widrich, Michael | Modern Hopfield Networks and Attention for Immune Repertoire Classification | 2020-08-17 | 14093.0 | 926.0 | view text |
| cord-034614-r429idtl | Yasar, Huseyin | A new deep learning pipeline to detect Covid-19 on chest X-ray images using local binary pattern, dual tree complex wavelet transform and convolutional neural networks | 2020-11-04 | 7750.0 | 385.0 | view text |
| cord-002901-u4ybz8ds | Yu, Chanki | Acral melanoma detection using a convolutional neural network for dermoscopy images | 2018-03-07 | 3513.0 | 180.0 | view text |
| cord-121200-2qys8j4u | Zogan, Hamad | Depression Detection with Multi-Modalities Using a Hybrid Deep Learning Model on Social Media | 2020-07-03 | 10036.0 | 521.0 | view text |