A Deep Learning-Based System for the MEDDOCAN Task

Once the final fused list is obtained (containing, for each image, a ranked list of as- sociated concepts), we have to decide how many concepts will be used to annotate each image.

The natural language recognition system, and the classification system, is executed in the Python programming language [7] using the library scikit-learn Dialog Manager (Fig.

The proposed intrusion detection systems considers a general type of an attack scenario where malicious packets are injected into a SCADA network system composed of a

Activity discovery (AD) refers to the unsupervised discovery of plausible human activities in unannotated datasets composed of sensor readings of human sub- jects.. AD is itself

The LifeCLEF bird identification challenge provides a large- scale testbed for the system-oriented evaluation of bird species identifi- cation based on audio recordings.. One of

Step 3: Initializing Species Layers After we obtained the organ layers, we train the species layers based on the species labeled dataset as shown in

The percentages of misclassified examples, presented in Tables 7 8, showed that even with a much smaller training dataset, with four or five base models the architecture

The plan is to employ these in the development of a background knowledge structure which can be employed for refining learners’ goals and for indexing learning resources..