One embodiment of the present provides an apparatus and the like that uses a model that estimates shapelet deformation which is according to variations in an anticipated factor, and thereby suppresses a drop in classification performance even if the circumstances of the anticipated factor are different between training and testing. An information processing apparatus according to one embodiment of the present invention is provided with an adjuster and a feature calculator. The adjuster adjusts the shape of a reference waveform pattern corresponding to time series data and used to classify the time series data, on the basis of the value of a factor parameter corresponding to the time series data. The feature calculator calculates a feature of a waveform of the time series data on a basis of the shape of the reference waveform pattern after the adjustment.

The present disclosure provides a system comprising a communication interface and computer for assigning a label to the biomolecule fingerprint, wherein the label corresponds to a biological state. The present disclosure also provides a sensor arrays for detecting biomolecules and methods of use. In some embodiments, the sensor arrays are capable of determining a disease state in a subject.

The present disclosure provides a system comprising a communication interface and computer for assigning a label to the biomolecule fingerprint, wherein the label corresponds to a biological state. The present disclosure also provides a sensor arrays for detecting biomolecules and methods of use. In some embodiments, the sensor arrays are capable of determining a disease state in a subject.

The present disclosure provides a system comprising a communication interface and computer for assigning a label to the biomolecule fingerprint, wherein the label corresponds to a biological state. The present disclosure also provides a sensor arrays for detecting biomolecules and methods of use. In some embodiments, the sensor arrays are capable of determining a disease state in a subject.

The present disclosure provides a system comprising a communication interface and computer for assigning a label to the biomolecule fingerprint, wherein the label corresponds to a biological state. The present disclosure also provides a sensor arrays for detecting biomolecules and methods of use. In some embodiments, the sensor arrays are capable of determining a disease state in a subject.

Generally discussed herein are devices, systems, and methods for generating a phrase that is confusing to a language classifier. A method can include determining, by the LC, a first classification score (CS) of a prompt indicating whether the prompt is a first class or a second class, predicting, based on the prompt and by a pre-trained language model (PLM), likely next words and a corresponding probability for each of the likely next words, determining, by the LC, a second CS for each of the likely next words, determining, by an adversarial classifier, respective scores for each of the likely next words, the respective scores determined based on the first CS of the prompt, the second CS of the likely next words, and the probabilities of the likely next words, and selecting, by an adversarial classifier, a next word of the likely next words based on the respective scores.

It is disclosed a method, an apparatus, a computing device, and a computer-readable storage medium for identifying a signal. The method includes demodulating a modulated signal to generate a transmission signal, transmitting the transmission signal, receiving an echo signal generated by a reflection of the transmission signal, demodulating the echo signal to obtain demodulated information, identifying the demodulated information by using a target network model to obtain an identification result of the echo signal, and outputting the identification result to a graphical user interface for display.