Newton Howard
Publications by Year
Research Areas
Cognitive Computing and Networks, Sentiment Analysis and Opinion Mining, Topic Modeling, Advanced Text Analysis Techniques, Natural Language Processing Techniques
Most-Cited Works
- → The use of photoplethysmography for assessing hypertension(2019)579 cited
- → Fusing audio, visual and textual clues for sentiment analysis from multimodal content(2015)530 cited
- → Comparing Oversampling Techniques to Handle the Class Imbalance Problem: A Customer Churn Prediction Case Study(2016)301 cited
- → Enhanced SenticNet with Affective Labels for Concept-Based Opinion Mining(2013)253 cited
- → Ensemble application of convolutional neural networks and multiple kernel learning for multimodal sentiment analysis(2017)213 cited
- → Can Photoplethysmography Replace Arterial Blood Pressure in the Assessment of Blood Pressure?(2018)131 cited
- → Cuffless Single-Site Photoplethysmography for Blood Pressure Monitoring(2020)129 cited
- → Automatic Detection of Acromegaly From Facial Photographs Using Machine Learning Methods(2017)117 cited
- → The Effectiveness of Image Augmentation in Deep Learning Networks for Detecting COVID-19: A Geometric Transformation Perspective(2021)110 cited
- → Semantic Multidimensional Scaling for Open-Domain Sentiment Analysis(2013)107 cited