26 citations · 77 across the 14 of their papers we have counts for
14 papers
Uncertainty-Guided Coarse-to-Fine Tumor Segmentation with Anatomy-Aware Post-Processing
Ilkin Sevgi Isler, David Mohaisen, Curtis Lisle +2
Reliable tumor segmentation in thoracic computed tomography (CT) remains challenging due to boundary ambiguity, class imbalance, and anatomical variability. We propose an uncertain…
Smart Home Energy Management: VAE-GAN synthetic dataset generator and Q-learning
Mina Razghandi, Hao Zhou, Melike Erol-Kantarci +1
Recent years have noticed an increasing interest among academia and industry towards analyzing the electrical consumption of residential buildings and employing smart home energy m…
Self-Supervised Learning for Organs At Risk and Tumor Segmentation with Uncertainty Quantification
Ilkin Isler, Debesh Jha, Curtis Lisle +6
In this study, our goal is to show the impact of self-supervised pre-training of transformers for organ at risk (OAR) and tumor segmentation as compared to costly fully-supervised…
Enhancing Organ at Risk Segmentation with Improved Deep Neural Networks
Ilkin Isler, Curtis Lisle, Justin Rineer +4
Organ at risk (OAR) segmentation is a crucial step for treatment planning and outcome determination in radiotherapy treatments of cancer patients. Several deep learning based segme…
Variational Autoencoder Generative Adversarial Network for Synthetic Data Generation in Smart Home
Mina Razghandi, Hao Zhou, Melike Erol-Kantarci +1
Data is the fuel of data science and machine learning techniques for smart grid applications, similar to many other fields. However, the availability of data can be an issue due to…
Predicting infections in the Covid-19 pandemic -- lessons learned
Sharare Zehtabian, Siavash Khodadadeh, Damla Turgut +1
Throughout the Covid-19 pandemic, a significant amount of effort had been put into developing techniques that predict the number of infections under various assumptions about the p…
Smart Home Energy Management: Sequence-to-Sequence Load Forecasting and Q-Learning
Mina Razghandi, Hao Zhou, Melike Erol-Kantarci +1
A smart home energy management system (HEMS) can contribute towards reducing the energy costs of customers; however, HEMS suffers from uncertainty in both energy generation and con…
Short-Term Load Forecasting for Smart HomeAppliances with Sequence to Sequence Learning
Mina Razghandi, Hao Zhou, Melike Erol-Kantarci +1
Appliance-level load forecasting plays a critical role in residential energy management, besides having significant importance for ancillary services performed by the utilities. In…
Privacy-Preserving Learning of Human Activity Predictors in Smart Environments
Sharare Zehtabian, Siavash Khodadadeh, Ladislau Bölöni +1
The daily activities performed by a disabled or elderly person can be monitored by a smart environment, and the acquired data can be used to learn a predictive model of user behavi…
Cluster Aware Mobility Encounter Dataset Enlargement
Rajarshi Haldar, Salih Safa Bacanli, Moayad Aloqaily +2
The recent emerging fields in data processing and manipulation has facilitated the need for synthetic data generation. This is also valid for mobility encounter dataset generation.…
Exposing Vulnerabilities in Mobile Networks: A Mobile Data Consumption Attack
Dean Wasil, Omar Nakhila, Salih Safa Bacanli +2
Smartphone carrier companies rely on mobile networks for keeping an accurate record of customer data usage for billing purposes. In this paper, we present a vulnerability that allo…
Internet of Things Applications: Animal Monitoring with Unmanned Aerial Vehicle
Jun Xu, Gurkan Solmaz, Rouhollah Rahmatizadeh +2
In animal monitoring applications, both animal detection and their movement prediction are major tasks. While a variety of animal monitoring strategies exist, most of them rely on…
VBCA: A Virtual Forces Clustering Algorithm for Autonomous Aerial Drone Systems
Matthias R. Brust, Mustafa Ilhan Akbas, Damla Turgut
We consider the positioning problem of aerial drone systems for efficient three-dimensional (3-D) coverage. Our solution draws from molecular geometry, where forces among electron…
Social Network Generation and Role Determination Based on Smartphone Data
Mustafa Ilhan Akbas, Matthias R. Brust, Damla Turgut
We deal with the problem of automatically generating social networks by analyzing and assessing smartphone usage and interaction data. We start by assigning weights to the differen…