Jorge Ortiz

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 24

Top Topics

Active Learning

Tracking Of Multiple Objects

Top Venues

BuildSys@SenSys

Publications

Yuan Sun, Jorge Ortiz
An AI-Based System Utilizing IoT-Enabled Ambient Sensors and LLMs for Complex Activity Tracking. CoRR (2024)
Felipe Tellez, Jorge Ortiz
Comparing AI Algorithms for Optimizing Elliptic Curve Cryptography Parameters in Third-Party E-Commerce Integrations: A Pre-Quantum Era Analysis. CoRR (2023)
Jorge Ortiz, David Corbalán-Navarro, Juan L. Aragón, Antonio González
MEGsim: A Novel Methodology for Efficient Simulation of Graphics Workloads in GPUs. ISPASS (2022)
Tina L. Burns, Richard P. Martin, Jorge Ortiz, Ivan Seskar, Dragoslav Stojadinovic, Ryan Davis, Miguel Camelo
Synthetic Wireless Signal Generation for Neural Network Algorithms. CSCN (2021)
Murtadha Aldeer, Richard E. Howard, Richard P. Martin, Jorge Ortiz
Unobtrusive patient identification using smart pill-bottle systems. Internet Things 14 (2021)
Tahiya Chowdhury, Qizhen Ding, Ilan Mandel, Wendy Ju, Jorge Ortiz
Tracking urban heartbeat and policy compliance through vision and language-based sensing. BuildSys@SenSys (2021)
Tong Wu, Nikolas Martelaro, Simon Stent, Jorge Ortiz, Wendy Ju
Learning When Agents Can Talk to Drivers Using the INAGT Dataset and Multisensor Fusion. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5 (3) (2021)
Tahiya Chowdhury, Ansh Bhatti, Ilan Mandel, Taqiya Ehsan, Wendy Ju, Jorge Ortiz
Towards sensing urban-scale COVID-19 policy compliance in new york city. BuildSys@SenSys (2021)
Tahiya Chowdhury, Murtadha Aldeer, Shantanu Laghate, Justin Yu, Qizhen Ding, Joseph Florentine, Jorge Ortiz
Poster: Maestro - An Ambient Sensing Platform With Active Learning To Enable Smart Applications. EWSN (2021)
Tong Wu, Jorge Ortiz
RLAD: Time Series Anomaly Detection through Reinforcement Learning and Active Learning. CoRR (2021)
Tahiya Chowdhury, Murtadha Aldeer, Shantanu Laghate, Jorge Ortiz
Cadence: A Practical Time-series Partitioning Algorithm for Unlabeled IoT Sensor Streams. CoRR (2021)
Murtadha Aldeer, Richard E. Howard, Richard P. Martin, Jorge Ortiz
User Identification Across Multiple Smart Pill Bottle Systems: Poster Abstract. IPSN (2021)
Tong Wu, Murtadha Aldeer, Tahiya Chowdhury, Amber Haynes, Fateme Nikseresht, Mahsa Pahlavikhah Varnosfaderani, Jiechao Gao, Arsalan Heydarian, Brad Campbell, Jorge Ortiz
The smart building privacy challenge. BuildSys@SenSys (2021)
Murtadha Aldeer, Justin Yu, Tahiya Chowdhury, Joseph Florentine, Jakub Kolodziejski, Richard E. Howard, Richard P. Martin, Jorge Ortiz
A smart agent guided contactless data collection system amid a pandemic. MobiSys (2021)
Zawar Hussain, Quan Z. Sheng, Wei Emma Zhang, Jorge Ortiz, Seyedamin Pouriyeh
A Review of the Non-Invasive Techniques for Monitoring Different Aspects of Sleep. CoRR (2021)
Tina L. Burns, Richard P. Martin, Jorge Ortiz, Ivan Seskar, Dragoslav Stojadinovic, Ryan Davis, Miguel Camelo
Evaluating Deep Learning Networks for Modulation Recognition. DySPAN (2021)
Zawar Hussain, David Waterworth, Murtadha Aldeer, Wei Emma Zhang, Quan Z. Sheng, Jorge Ortiz
Do You Brush Your Teeth Properly? An Off-body Sensor-based Approach for Toothbrushing Monitoring. ICDH (2021)
Wendy Ju, Sharon Yavo-Ayalon, Ilan Mandel, Federico Saldarini, Natalie Friedman, Srinath Sibi, J. D. Zamfirescu-Pereira, Jorge Ortiz
Tracking Urban Mobility and Occupancy under Social Distancing Policy. Digit. Gov. Res. Pract. 1 (4) (2020)
Murtadha Aldeer, Joseph Florentine, Jakub Kolodziejski, Jorge Ortiz, Richard E. Howard, Richard P. Martin
Patient identification using a smart pill-bottle: poster abstract. SenSys (2019)
Murtadha Aldeer, Musaab Alaziz, Jorge Ortiz, Richard E. Howard, Richard P. Martin
A Sensing-Based Framework for Medication Compliance Monitoring. DFHS@BuildSys (2019)
Tong Wu, Jorge Ortiz
Towards Adaptive Anomaly Detection in Buildings with Deep Reinforcement Learning. BuildSys@SenSys (2019)
Xinlei Chen, Shijia Pan, Jorge Ortiz
CPD 2019: the 2nd international workshop on combining physical and data-driven knowledge in ubiquitous computing. UbiComp/ISWC Adjunct (2019)
Murtadha Aldeer, Jorge Ortiz, Richard E. Howard, Richard P. Martin
PatientSense: patient discrimination from in-bottle sensors data. MobiQuitous (2019)
Yan Gao, Alan Schay, Daqing Hou, Jorge Ortiz
Home Appliance Energy Disaggregation Using Low Frequency Data and Machine Learning Classifiers. ICMLA (2017)
Livia Borjas, Alejandro Fernández, Jorge Ortiz, Leonid Tineo
FDBMS Application for a Survey on Educational Performance. DEXA (2008)