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Interdisciplinary applications of Artificial Intelligence (AI) and Machine Learning (ML)
Semantic segmentation of the cultivated area of plantations with U-net
Use and Interpretation of Item Response Theory applied to Machine Learning
AI and ML applied to robotics
Towards Loop Closure Detection for SLAM Applications using Bag of Visual Features: Experiments and Simulation
Loss Function Regularisation on the Iterated Racing Procedure for Automatic Tuning of RatSLAM Parameters
Controlling the UR3 robotic arm using a leap motion: a comparative study
AI and ML applied to biomedical sciences
Web service based epileptic seizure detection by applying machine learning techniques
Health issues and computational neuroscience
Machine Learning Search of Novel Selective NaV1.2 and NaV1.6 Inhibitors as Potential Treatment against Dravet Syndrome
Implementation of intra and extracellular nonperiodic scale-free stimulation in silico for the NEURON simulator
In silico investigation of the effects of distinct temporal patterns of electrical stimulation to the amygdala using a network of Izhikevich neurons
Software and hardware implementations in neuroscience
Brain connectivity measures in EEG-based biometry for epilepsy patients
A multiplatform output stage for the development of current-fixed electrical stimulators applied to neural electrophysiology
Neuroengineering science and technology
Physiological self-regulation using biofeedback training: from concept to clinical applicability
Movement-Related Electroencephalography in Stroke Patients across a Brain-Computer Interface-based Intervention
Electrophysiological Correlates of Freeze of Gait in Parkinson Disease: Increased STN-LFP Alpha Power and the Possible Role of Attentional Circuits
Effect of hand dominance when decoding motor imagery grasping tasks within the same hand
Kinematic responses as a control strategy to visual occlusion.

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