This is a list of all the questions and their associated study carrel identifiers. One can learn a lot of the "aboutness" of a text simply by reading the questions.
| identifier | question |
|---|---|
| cord-131094-1zz8rd3h | Big Data and Machine Learning in Health Care Parkinsonism as a Third Wave of the COVID-19 Pandemic? |
| cord-249065-6yt3uqyy | highly efficient gradient boosting decision tree Breast cancer diagnosis with transfer learning and global pooling A novel deep learning based framework for the detection and classification of breast cancer using transfer learning Breast cancer histology images classification: Training from scratch or transfer learning? |
| cord-002901-u4ybz8ds | Advances in neural information processing systems Rethinking the inception architecture for computer vision Deep residual learning for image recognition Dermatologist- level classification of skin cancer with deep neural networks Convolutional neural networks for medical image analysis: Full training or fine tuning? |
| cord-002901-u4ybz8ds | Proceedings of the 23rd ACM international conference on Multimedia Non- invasive tools for the diagnosis of cutaneous melanoma Can routine laboratory tests discriminate between severe acute respiratory syndrome and other causes of community- acquired pneumonia? |
| cord-032684-muh5rwla | A case study on the 2015 chennai floods Convolutional- recursive deep learning for 3d object classification Mining informative words from the tweets for detecting the resources during disaster A survey on event detection methods on various social media Dropout: a simple way to prevent neural networks from overfitting Analysis and visualization of sentiment and emotion on crisis tweets Statistical learning theory Aid is out there Looking for help from tweets during a large scale disaster Natural language processing to the rescue? |
| cord-308219-97gor71p | Using Photoplethysmography Photoplethysmography based psychological stress detection with pulse rate variability feature differences and elastic net Assessing mental stress from the photoplethysmogram: A numerical study Can PPG be used for HRV analysis? |
| cord-269270-i2odcsx7 | x- rays with deep learning Can ai help in screening viral and covid-19 pneumonia? |
| cord-354819-gkbfbh00 | Using Convolutional Neural Networks Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning? |
| cord-337740-8ujk830g | Production and Action World Health Organization Digestibility and Suppressive Effect on Rats'Body Fat Accumulation of Cyclic Tetrasaccharide Characterization of an inclusion complex of cholesterol and hydroxypropyl- beta- cyclodextrin Niemann- Pick type C disease- The tip of the iceberg? |
| cord-319868-rtt9i7wu | A deep learning algorithm using CT images to screen for Corona Virus Disease( COVID-19) Automatic detection of coronavirus disease( COVID-19) using X- ray images and deep convolutional neural networks Predicting COVID-19 malignant progression with AI techniques Development and evaluation of an AI system for COVID-19 diagnosis Automated detection of COVID-19 cases using deep neural networks with X- ray images Can AI help in screening viral and COVID-19 pneumonia? |
| cord-103297-4stnx8dw | bioRxiv Methods for interpreting and understanding deep neural networks Layer- wise relevance propagation: an overview How many different clonotypes do immune repertoires contain? |
| cord-103297-4stnx8dw | bioRxiv Methods for interpreting and understanding deep neural networks Layer- wise relevance propagation: an overview How many different clonotypes do immune repertoires contain? |
| cord-255884-0qqg10y4 | COVID-19 X- ray Dataset: A Novel Detection Model Based on Coronavirus disease 2019: a bibliometric analysis and review Artificial intelligence- enabled rapid diagnosis of patients with COVID-19 Deep learning for IoT big data and streaming analytics: A survey Deep learning covid-19 features on cxr using limited training data sets A case- based reasoning framework for early detection and diagnosis of novel coronavirus Automated detection of COVID-19 cases using deep neural networks with X- ray images Emergence of new disease- how can artificial intelligence help? |
| cord-255884-0qqg10y4 | How good is radiography for COVID-19 detection? |
| cord-193356-hqbstgg7 | bioRxiv Methods for interpreting and understanding deep neural networks Layer- wise relevance propagation: an overview How many different clonotypes do immune repertoires contain? |
| cord-193356-hqbstgg7 | bioRxiv Methods for interpreting and understanding deep neural networks Layer- wise relevance propagation: an overview How many different clonotypes do immune repertoires contain? |
| cord-133273-kvyzuayp | ( compare??) is used in order to remove the vessels not on the high seas. |
| cord-133273-kvyzuayp | ( compare??) is used in order to remove the vessels not on the high seas. |
| cord-133273-kvyzuayp | As human beings, we have to ask ourselves if feelings are wrong just because the AI never felt alike in its creation process as we do? |
| cord-133273-kvyzuayp | At the time AI can perfectly simulate those styles what will happen with the artists? |
| cord-133273-kvyzuayp | But is n't lingering around these sweet spots not only producing"more of the same"? |
| cord-133273-kvyzuayp | But what does that mean for the generated results? |
| cord-133273-kvyzuayp | But where are interesting local sweet spots if it comes to artistic expression? |
| cord-133273-kvyzuayp | Deep residual learning for image recognition Are we ready for autonomous driving? |
| cord-133273-kvyzuayp | Does an ML based algorithm has to adjust the treatment of a subgroup to a higher level, e.g. a better medication, to achieve comparable results, when the analysis recognized worse results for this subgroup? |
| cord-133273-kvyzuayp | For instance, is the authorship of a novel song composed by an AI trained exclusively on songs by Johann Sebastian Bach belonging to the AI, the developer/ artist, or Bach? |
| cord-133273-kvyzuayp | How should such issues be taken into account in the future? |
| cord-133273-kvyzuayp | How to find the local sweet spots which can define a new art style and can be deemed truly creative? |
| cord-133273-kvyzuayp | Or do those discoveries of new art style lie outside of the latent space, because the latent space is trained within a particular set of defined art styles and can, therefore, produce only interpolations of those styles but nothing conceptually new? |
| cord-133273-kvyzuayp | Or should we not worry too much and simply enjoy the new artworks created no matter if they are done by humans, by AI or as a co- creation between the two ones? |
| cord-133273-kvyzuayp | Urheberrecht-die Maschine als Schöpferin? |
| cord-133273-kvyzuayp | What are limitations/ potential pitfalls of such an approach when applied in the particular clinical context? |
| cord-133273-kvyzuayp | What could be appropriate measures/ best practices to achieve reliability? |
| cord-133273-kvyzuayp | Which additional risks could apply to AI/ ML based SaMD, in general, which go beyond the existing discussions in the literature as e.g. presented in[ 9, 10, 12]? |
| cord-133273-kvyzuayp | will they have to turn to other artistic work which yet can not be simulated by AI? |
| cord-133273-kvyzuayp | Is automated validation reasonable for these cases? |