Autonomous novelty detection and object tracking in video streams using evolving clustering and Takagi-Sugeno type neuro-fuzzy system. - Plamen Angelov 001; Ramin Ramezani; Xiaowei Zhou 002 (IJCNN, 2008)

A Fast Recursive Approach to Autonomous Detection, Identification and Tracking of Multiple Objects in Video Streams under Uncertainties. - Pouria Sadeghi-Tehran; Plamen Angelov 001; Ramin Ramezani (IPMU (2), 2010)

An approach to automatic real-time novelty detection, object identification, and tracking in video streams based on recursive density estimation and evolving Takagi-Sugeno fuzzy systems. - Plamen Angelov 001; Pouria Sadeghi-Tehran; Ramin Ramezani (Int. J. Intell. Syst., 2011)

A Discussion on Serendipity in Creative Systems. - Alison Pease; Simon Colton; Ramin Ramezani; John William Charnley; Kate Reed (ICCC, 2013)

An artificial intelligence framework for investigative reasoning. - Ramin Ramezani (2014)

Low-cost indoor health monitoring system. - Babak Moatamed; Arjun 001; Farhad Shahmohammadi; Ramin Ramezani; Arash Naeim; Majid Sarrafzadeh (BSN, 2016)

Quantified-Self for Obesity: Physical Activity Behaviour Sensing to Improve Health Outcomes. - David Taylor; Jennifer Murphy; Mian Ahmad; Sanjay Purkayastha; Samantha Scholtz; Ramin Ramezani; Ivaylo Vlaev; Alexandra I. F. Blakemore; Ara Darzi (MMVR, 2016)

Generalizable spatial feature for human positioning based on Bluetooth beacons. - Kevin Bouchard; Mahir Rafi Eusufzai; Ramin Ramezani; Arash Naeim (UEMCON, 2016)

Evaluation of Bluetooth beacons behavior. - Kevin Bouchard; Ramin Ramezani; Arjun 001; Arash Naeim (UEMCON, 2016)

Features based proximity localization with Bluetooth emitters. - Kevin Bouchard; Ramin Ramezani; Arash Naeim (UEMCON, 2016)

Sensing-Fi: Wi-Fi CSI and accelerometer fusion system for fall detection. - Ramin Ramezani; Yubin Xiao; Arash Naeim (BHI, 2018)

WOTBoost: Weighted Oversampling Technique in Boosting for imbalanced learning. - Wenhao Zhang; Ramin Ramezani; Arash Naeim (IEEE BigData, 2019)

A Causal Perspective to Unbiased Conversion Rate Estimation on Data Missing Not at Random. - Wenhao Zhang; Wentian Bao; Xiao-Yang Liu; Keping Yang; Quan Lin; Hong Wen 002; Ramin Ramezani (CoRR, 2019)

GenSample: A Genetic Algorithm for Oversampling in Imbalanced Datasets. - Vishwa Karia; Wenhao Zhang; Arash Naeim; Ramin Ramezani (CoRR, 2019)

Large-scale Causal Approaches to Debiasing Post-click Conversion Rate Estimation with Multi-task Learning. - Wenhao Zhang; Wentian Bao; Xiao-Yang Liu; Keping Yang; Quan Lin; Hong Wen 002; Ramin Ramezani (WWW, 2020)

Tracking physical activity using smart phone apps: assessing the ability of a current app and systematically collecting patient recommendations for future development. - Jennifer Murphy; T. Uttamlal; Kelly Ann Schmidtke; Ivo Vlaev; David Taylor; Mian Ahmad; S. Alsters; P. Purkayastha; Samantha Scholtz; Ramin Ramezani; A. R. Ahmed; H. Chahal; et al. (BMC Medical Informatics Decis. Mak., 2020)

Operational limits for aquaculture operations from a risk and safety perspective. - Xue Yang; Ramin Ramezani; Ingrid Bouwer Utne; Ali Mosleh 001; Pål Furset Lader (Reliab. Eng. Syst. Saf., 2020)

An introduction to causal reasoning in health analytics. - Wenhao Zhang; Ramin Ramezani; Arash Naeim (CoRR, 2021)

Range of Motion Sensors for Monitoring Recovery of Total Knee Arthroplasty. - Minh Cao; Brett Bailey; Wenhao Zhang; Solana Fernandez; Aaron Han; Smiti Narayanan; Shrineel Patel; Steven Saletta; Alexandra Stavrakis; Stephen Speicher; Stephanie Seidlits; Arash Naeim; et al. (BSN, 2022)

ECG Heartbeat classification using deep transfer learning with Convolutional Neural Network and STFT technique. - Minh Cao; Tianqi Zhao; Yanxun Li; Wenhao Zhang; Peyman Benharash; Ramin Ramezani (CoRR, 2022)

Data generation using simulation technology to improve perception mechanism of autonomous vehicles. - Minh Cao; Ramin Ramezani (CoRR, 2022)

Developing a Smartwatch-Based Healthcare Application: Notes to Consider. - Ramin Ramezani; Minh Cao; Arjun Earthperson; Arash Naeim (Sensors, 2023)

Transformer Models as an Efficient Replacement for Statistical Test Suites to Evaluate the Quality of Random Numbers. - Rishabh Goel; Yizi Xiao; Ramin Ramezani (ISNCC, 2024)

Transformer models classify random numbers. - Rishabh Goel; Yizi Xiao; Ramin Ramezani (CoRR, 2024)

Factors Shaping Financial Success: A Deep Dive into Influencing Variables. - Michael Zhou; Ramin Ramezani (CoRR, 2024)

A Structured Review of Literature on Uncertainty in Machine Learning & Deep Learning. - Fahimeh Fakour; Ali Mosleh 001; Ramin Ramezani (CoRR, 2024)

Developing remote patient monitoring infrastructure using commercially available cloud platforms. - Minh Cao; Ramin Ramezani; Vivek Kumar Katakwar; Wenhao Zhang; Dheeraj Boda; Muneeb Wani; Arash Naeim (Frontiers Digit. Health, 2024)

Editorial: Bench to bedside: AI and remote patient monitoring. - Ramin Ramezani; Saam Iranmanesh; Arash Naeim; Peyman Benharash (Frontiers Digit. Health, 2025)