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HealthTree Cure Hub: A Patient-Derived, Patient-Driven Clinical Cancer Information Platform Used to Overcome Hurdles and Accelerate Research in Multiple Myeloma Oncologic images showed instability to ...

Recent years have seen the wide application of NLP models in crucial areas such as finance, medical treatment, and news media, raising concerns about the model robustness. Existing methods are mainly ...

Estimating the number of triangles in a graph is a fundamental problem and has found applications in many fields. This problem has been widely studied in the context of graph stream processing.

The chain of the first 3 blocks can be organized in a parallel multi-channel structure that is followed by one or several aggregation blocks. The final decision about the class is made based on the ...

OpenAI has announced research results showing that the longer the inference time, the more effective the defense against adversarial attacks that intentionally confuse AI. AI developers have been ...

Deep neural networks (DNNs) can achieve high accuracy when there is abundant training data that has the same distribution as the test data. In practical applications, data deficiency is often a ...

IBM is hoping to advance the state of the art for artificial intelligence (AI) security with an open source project called the Adversarial Robustness Toolbox (ART). As AI usage is growing rapidly, ...