Zobrazeno 1 - 10
of 83
pro vyhledávání: '"Ramezani, Ramin"'
The adaptation and use of Machine Learning (ML) in our daily lives has led to concerns in lack of transparency, privacy, reliability, among others. As a result, we are seeing research in niche areas such as interpretability, causality, bias and fairn
Externí odkaz:
http://arxiv.org/abs/2406.00332
Autor:
Zhou, Michael, Ramezani, Ramin
This paper explores various socioeconomic factors that contribute to individual financial success using machine learning algorithms and approaches. Financial success, a critical aspect of all individual's well-being, is a complex concept influenced b
Externí odkaz:
http://arxiv.org/abs/2405.08233
Random numbers are incredibly important in a variety of fields, and the need for their validation remains important. A Quantum Random Number Generator (QRNG) can theoretically generate truly random numbers however this does not remove the need to tho
Externí odkaz:
http://arxiv.org/abs/2405.03904
Autor:
Ramezani, Ramin, Zhang, Wenhao, Xie, Zhuoer, Shen, John, Elashoff, David, Roberts, Pamela, Stanton, Annette, Eslami, Michelle, Wenger, Neil, Sarrafzadeh, Majid, Naeim, Arash
Publikováno v:
JMIR mHealth and uHealth, Vol 7, Iss 7, p e14090 (2019)
BackgroundHealth care, in recent years, has made great leaps in integrating wireless technology into traditional models of care. The availability of ubiquitous devices such as wearable sensors has enabled researchers to collect voluminous datasets an
Externí odkaz:
https://doaj.org/article/33d1057c89c9412fa1e564c4f60d2856
Autor:
Cao, Minh, Bailey, Brett, Zhang, Wenhao, Fernandez, Solana, Han, Aaron, Narayanan, Smiti, Patel, Shrineel, Saletta, Steven, Stavrakis, Alexandra, Speicher, Stephen, Seidlits, Stephanie, Naeim, Arash, Ramezani, Ramin
A low-cost, accurate device to measure and record knee range of motion (ROM) is of the essential need to improve confidence in at-home rehabilitation. It is to reduce hospital stay duration and overall medical cost after Total Knee Arthroplasty (TKA)
Externí odkaz:
http://arxiv.org/abs/2207.00190
Autor:
Cao, Minh, Ramezani, Ramin
Recent advancements in computer graphics technology allow more realistic ren-dering of car driving environments. They have enabled self-driving car simulators such as DeepGTA-V and CARLA (Car Learning to Act) to generate large amounts of synthetic da
Externí odkaz:
http://arxiv.org/abs/2207.00191
Electrocardiogram (ECG) is a simple non-invasive measure to identify heart-related issues such as irregular heartbeats known as arrhythmias. While artificial intelligence and machine learning is being utilized in a wide range of healthcare related ap
Externí odkaz:
http://arxiv.org/abs/2206.14200
A data science task can be deemed as making sense of the data or testing a hypothesis about it. The conclusions inferred from data can greatly guide us to make informative decisions. Big data has enabled us to carry out countless prediction tasks in
Externí odkaz:
http://arxiv.org/abs/2105.04655
Imbalanced datasets are ubiquitous. Classification performance on imbalanced datasets is generally poor for the minority class as the classifier cannot learn decision boundaries well. However, in sensitive applications like fraud detection, medical d
Externí odkaz:
http://arxiv.org/abs/1910.10806
Machine learning classifiers often stumble over imbalanced datasets where classes are not equally represented. This inherent bias towards the majority class may result in low accuracy in labeling minority class. Imbalanced learning is prevalent in ma
Externí odkaz:
http://arxiv.org/abs/1910.07892