Adam Howard

Journal article Expert Systems · October 1, 2025 Sentiment analysis, crucial for discerning emotional tones in text, relies on manual annotation to train machine learning models and is considered the gold standard for creating annotated corpora. However, this process is time-consuming, labour-intensive, ... Full text Cite

Real-Time Artifacts Reduction during TMS-EEG Co-Registration: A Comprehensive Review on Technologies and Procedures.

Journal article Sensors (Basel, Switzerland) · January 2021 Transcranial magnetic stimulation (TMS) excites neurons in the cortex, and neural activity can be simultaneously recorded using electroencephalography (EEG). However, TMS-evoked EEG potentials (TEPs) do not only reflect transcranial neural stimulation as t ... Full text Cite

BrainOS: A Novel Artificial Brain-Alike Automatic Machine Learning Framework

Journal article Frontiers in Computational Neuroscience · March 3, 2020 Human intelligence is constituted by a multitude of cognitive functions activated either directly or indirectly by external stimuli of various kinds. Computational approaches to the cognitive sciences and to neuroscience are partly premised on the idea tha ... Full text Cite

Machine learning based computer-aided diagnosis of liver tumours

Conference Proceedings of 2017 IEEE 16th International Conference on Cognitive Informatics and Cognitive Computing Icci Cc 2017 · November 14, 2017 Image processing plays a vital role in the early detection and diagnosis of Hepatocellular Carcinoma (HCC). In this paper, we present a computational intelligence based Computer-Aided Diagnosis (CAD) system that helps medical specialists detect and diagnos ... Full text Cite