46 citations · 151 across the 10 of their papers we have counts for
10 papers
Enhanced Performance of Pre-Trained Networks by Matched Augmentation Distributions
Touqeer Ahmad, Mohsen Jafarzadeh, Akshay Raj Dhamija +4
There exists a distribution discrepancy between training and testing, in the way images are fed to modern CNNs. Recent work tried to bridge this gap either by fine-tuning or re-tra…
A wearable sensor vest for social humanoid robots with GPGPU, IoT, and modular software architecture
Mohsen Jafarzadeh, Stephen Brooks, Shimeng Yu +2
Currently, most social robots interact with their surroundings and humans through sensors that are integral parts of the robots, which limits the usability of the sensors, human-ro…
On-Policy Robust Adaptive Discrete-Time Regulator for Passive Unidirectional System using Stochastic Hill-climbing Algorithm and Associated Search Element
Mohsen Jafarzadeh, Nicholas Gans, Yonas Tadesse
Non-linear discrete-time state-feedback regulators are widely used in passive unidirectional systems. Offline system identification is required for tuning parameters of these regul…
EMG Signal Classification Using Reflection Coefficients and Extreme Value Machine
Reza Bagherian Azhiri, Mohammad Esmaeili, Mohsen Jafarzadeh +1
Electromyography is a promising approach to the gesture recognition of humans if an efficient classifier with high accuracy is available. In this paper, we propose to utilize Extre…
Self-Supervised Features Improve Open-World Learning
Akshay Raj Dhamija, Touqeer Ahmad, Jonathan Schwan +3
This paper identifies the flaws in existing open-world learning approaches and attempts to provide a complete picture in the form of \textbf{True Open-World Learning}. We accomplis…
Automatic Open-World Reliability Assessment
Mohsen Jafarzadeh, Touqeer Ahmad, Akshay Raj Dhamija +3
Image classification in the open-world must handle out-of-distribution (OOD) images. Systems should ideally reject OOD images, or they will map atop of known classes and reduce rel…
A Unifying Framework for Formal Theories of Novelty:Framework, Examples and Discussion
T. E. Boult, P. A. Grabowicz, D. S. Prijatelj +11
Managing inputs that are novel, unknown, or out-of-distribution is critical as an agent moves from the lab to the open world. Novelty-related problems include being tolerant to nov…
A Review of Open-World Learning and Steps Toward Open-World Learning Without Labels
Mohsen Jafarzadeh, Akshay Raj Dhamija, Steve Cruz +3
In open-world learning, an agent starts with a set of known classes, detects, and manages things that it does not know, and learns them over time from a non-stationary stream of da…
Convolutional Neural Networks for Speech Controlled Prosthetic Hands
Mohsen Jafarzadeh, Yonas Tadesse
Speech recognition is one of the key topics in artificial intelligence, as it is one of the most common forms of communication in humans. Researchers have developed many speech-con…
Deep learning approach to control of prosthetic hands with electromyography signals
Mohsen Jafarzadeh, Daniel Curtiss Hussey, Yonas Tadesse
Natural muscles provide mobility in response to nerve impulses. Electromyography (EMG) measures the electrical activity of muscles in response to a nerve's stimulation. In the past…