Emerging artificial intelligence methods in structural engineering
H Salehi, R Burgueño - Engineering structures, 2018 - Elsevier
Artificial intelligence (AI) is proving to be an efficient alternative approach to classical
modeling techniques. AI refers to the branch of computer science that develops machines …
modeling techniques. AI refers to the branch of computer science that develops machines …
Thirty years of machine learning: The road to Pareto-optimal wireless networks
Future wireless networks have a substantial potential in terms of supporting a broad range of
complex compelling applications both in military and civilian fields, where the users are able …
complex compelling applications both in military and civilian fields, where the users are able …
Deep multimodal learning: A survey on recent advances and trends
D Ramachandram, GW Taylor - IEEE signal processing …, 2017 - ieeexplore.ieee.org
The success of deep learning has been a catalyst to solving increasingly complex machine-
learning problems, which often involve multiple data modalities. We review recent advances …
learning problems, which often involve multiple data modalities. We review recent advances …
How important are activation functions in regression and classification? A survey, performance comparison, and future directions
AD Jagtap, GE Karniadakis - Journal of Machine Learning for …, 2023 - dl.begellhouse.com
Inspired by biological neurons, the activation functions play an essential part in the learning
process of any artificial neural network (ANN) commonly used in many real-world problems …
process of any artificial neural network (ANN) commonly used in many real-world problems …
Breast cancer diagnosis using GA feature selection and Rotation Forest
E Aličković, A Subasi - Neural Computing and applications, 2017 - Springer
Breast cancer is one of the primary causes of death among the women worldwide, and the
accurate diagnosis is one of the most significant steps in breast cancer treatment. Data …
accurate diagnosis is one of the most significant steps in breast cancer treatment. Data …
Data fusion and remote sensing: An ever-growing relationship
Characterized by a certain focus on the heavily discussed topic of image fusion in its
beginnings, sensor data fusion has played a significant role in the remote sensing research …
beginnings, sensor data fusion has played a significant role in the remote sensing research …
Handbook of automated essay evaluation
MD Shermis, J Burstein - NY: Routledge, 2013 - api.taylorfrancis.com
This comprehensive, interdisciplinary handbook reviews the latest methods and
technologies used in automated essay evaluation (AEE). Highlights include the latest in the …
technologies used in automated essay evaluation (AEE). Highlights include the latest in the …
Multimodal human–computer interaction: A survey
In this paper, we review the major approaches to multimodal human–computer interaction,
giving an overview of the field from a computer vision perspective. In particular, we focus on …
giving an overview of the field from a computer vision perspective. In particular, we focus on …
Multimodal fusion framework: A multiresolution approach for emotion classification and recognition from physiological signals
The purpose of this paper is twofold:(i) to investigate the emotion representation models and
find out the possibility of a model with minimum number of continuous dimensions and (ii) to …
find out the possibility of a model with minimum number of continuous dimensions and (ii) to …
Pooling in image representation: The visual codeword point of view
In this work, we propose BossaNova, a novel representation for content-based concept
detection in images and videos, which enriches the Bag-of-Words model. Relying on the …
detection in images and videos, which enriches the Bag-of-Words model. Relying on the …