Toktam Khatibi

Proposing a two-step Decision Support System (TPIS) based on Stacked ensemble classifier for early and low cost (step-1) and final (step-2) differential diagnosis of Mycobacterium Tuberculosis from non-tuberculosis Pneumonia pdf

Ali Farahani, Toktam Khatibi, Hossein Sarmadian, 2020, ArXiv.

Identification and weighting of kidney allocation criteria: a novel multi-expert fuzzy method

Mohammad Mehdi Sepehri, Nasrin Taherkhani, Toktam Khatibi, 2019, BMC Medical Informatics and Decision Making.

A novel noise-robust stacked ensemble of deep and conventional machine learning classifiers (NRSE-DCML) for human biometric identification from electrocardiogram signals

Toktam Khatibi, Noushin Rabinezhadsadatmahaleh, Toktam Khatibi, 2020 .

CNFE-SE: a novel approach combining complex network-based feature engineering and stacked ensemble to predict the success of intrauterine insemination and ranking the features

Toktam Khatibi, Mehdi Totonchi, Sima Ranjbari, 2021, BMC Medical Informatics and Decision Making.

CNFE-SE: A novel approach combining complex network-based feature engineering and stacked ensemble to predict the success of Intrauterine Insemination and ranking the features

Toktam Khatibi, Mehdi Totonchi, Sima Ranjbari, 2020 .

Proposing feature engineering method based on deep learning and K-NNs for ECG beat classification and arrhythmia detection

Toktam Khatibi, Nooshin Rabinezhadsadatmahaleh, 2019, Physical and Engineering Sciences in Medicine.

Proposing a novel unsupervised stack ensemble of deep and conventional image segmentation (SEDCIS) method for localizing vitiligo lesions in skin images

Toktam Khatibi, Mehdi Totonchi, Niloofar Rezaei, 2020, Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging.

Proposing novel methods for gynecologic surgical action recognition on laparoscopic videos

Toktam Khatibi, Parastoo Dezyani, Toktam Khatibi, 2020, Multimedia Tools and Applications.