Asim Smailagic

Asim Smailagic

Carnegie Mellon University

H-index: 43

North America-United States

About Asim Smailagic

Asim Smailagic, With an exceptional h-index of 43 and a recent h-index of 24 (since 2020), a distinguished researcher at Carnegie Mellon University, specializes in the field of Machine Learning, Context Aware Computing, Mobile Computing, Smart Sensors.

His recent articles reflect a diverse array of research interests and contributions to the field:

Addressing Chest Radiograph Projection Bias in Deep Classification Models

Enabling AI and robotic coaches for physical rehabilitation therapy: iterative design and evaluation with therapists and post-stroke survivors

Skeleton Tracking Solutions for a Low-Cost Stroke Rehabilitation Support System

DeepFixCX: Explainable privacy‐preserving image compression for medical image analysis

Design, development, and evaluation of an interactive personalized social robot to monitor and coach post-stroke rehabilitation exercises

ExplainFix: Explainable spatially fixed deep networks

ZEBRA: Explaining rare cases through outlying interpretable concepts

HeartSpot: Privatized and Explainable Data Compression for Cardiomegaly Detection

Asim Smailagic Information

University

Position

Professor of Electrical and Computer Engineering

Citations(all)

9806

Citations(since 2020)

2395

Cited By

8434

hIndex(all)

43

hIndex(since 2020)

24

i10Index(all)

114

i10Index(since 2020)

52

Email

University Profile Page

Carnegie Mellon University

Google Scholar

View Google Scholar Profile

Asim Smailagic Skills & Research Interests

Machine Learning

Context Aware Computing

Mobile Computing

Smart Sensors

Top articles of Asim Smailagic

Title

Journal

Author(s)

Publication Date

Addressing Chest Radiograph Projection Bias in Deep Classification Models

Sofia Cardoso Pereira

Joana Rocha

Alex Gaudio

Asim Smailagic

Ana Maria Mendonça

2024/1/23

Enabling AI and robotic coaches for physical rehabilitation therapy: iterative design and evaluation with therapists and post-stroke survivors

International Journal of Social Robotics

Min Hun Lee

Daniel P Siewiorek

Asim Smailagic

Alexandre Bernardino

2022/7/23

Skeleton Tracking Solutions for a Low-Cost Stroke Rehabilitation Support System

Ana Rita Cóias

Min Hun Lee

Alexandre Bernardino

Asim Smailagic

2023/9/24

DeepFixCX: Explainable privacy‐preserving image compression for medical image analysis

Alex Gaudio

Asim Smailagic

Christos Faloutsos

Shreshta Mohan

Elvin Johnson

...

2023/7

Design, development, and evaluation of an interactive personalized social robot to monitor and coach post-stroke rehabilitation exercises

Journal of Education and Health Promotion

Faeze Ghaffari

Fatemeh Rangraz Jeddi

Razieh Farrahi

Ehsan Nabovati

2021/1/1

ExplainFix: Explainable spatially fixed deep networks

Alex Gaudio

Christos Faloutsos

Asim Smailagic

Pedro Costa

Aurélio Campilho

2023/3

ZEBRA: Explaining rare cases through outlying interpretable concepts

Pedro Madeira

André Carreiro

Alex Gaudio

Luís Rosado

Filipe Soares

...

2023

HeartSpot: Privatized and Explainable Data Compression for Cardiomegaly Detection

Elvin Johnson

Shreshta Mohan

Alex Gaudio

Asim Smailagic

Christos Faloutsos

...

2022/9/27

Explainable deep learning for non-invasive detection of pulmonary artery hypertension from heart sounds

Alex Gaudio

Miguel Coimbra

Aurélio Campilho

Asim Smailagic

Samuel E Schmidt

...

2022/9/4

Towards efficient annotations for a human-ai collaborative, clinical decision support system: A case study on physical stroke rehabilitation assessment

Min Hun Lee

Daniel P Siewiorek

Asim Smailagic

Alexandre Bernardino

Sergi Bermúdez i Badia

2022/3/22

Privacy-preserving case-based explanations: Enabling visual interpretability by protecting privacy

IEEE Access

Helena Montenegro

Wilson Silva

Alex Gaudio

Matt Fredrikson

Asim Smailagic

...

2022/3/8

Ambulatory Monitoring and Ecological Momentary Assessment

Thomas W Kamarck

Mustafa al’Absi

David Epstein

Emre Ertin

Stephen Intille

...

2022/10/15

Epistemic and Heteroscedastic Uncertainty Estimation in Retinal Blood Vessel Segmentation

U. Porto Journal of Engineering

Pedro Costa

Asim Smailagic

Jaime Cardoso

Aurélio Campilho

2021/4/30

A human-ai collaborative approach for clinical decision making on rehabilitation assessment

Min Hun Lee

Daniel P Siewiorek

Asim Smailagic

Alexandre Bernardino

Sergi Bermúdez Bermúdez i Badia

2021/5/6

An exploratory study on techniques for quantitative assessment of stroke rehabilitation exercises

Min Hun Lee

Daniel P Siewiorek

Asim Smailagic

Alexandre Bernardino

Sergi Bermúdez i Badia

2020/7/7

O‐MedAL: Online active deep learning for medical image analysis

Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery

Asim Smailagic

Pedro Costa

Alex Gaudio

Kartik Khandelwal

Mostafa Mirshekari

...

2020/7

The efficacy of a multicomponent functional fitness program based on exergaming on cognitive functioning of healthy older adults: a randomized controlled trial

Journal of aging and physical activity

Élvio R Gouveia

Asim Smailagic

Andreas Ihle

Adilson Marques

Bruna R Gouveia

...

2020/12/25

Enhancement of retinal fundus images via pixel color amplification

Alex Gaudio

Asim Smailagic

Aurélio Campilho

2020/6/17

Co-design and evaluation of an intelligent decision support system for stroke rehabilitation assessment

Proceedings of the ACM on Human-Computer Interaction

Min Hun Lee

Daniel P Siewiorek

Asim Smailagic

Alexandre Bernardino

Sergi Bermúdez i Badia

2020/10/14

Interactive hybrid approach to combine machine and human intelligence for personalized rehabilitation assessment

Min Hun Lee

Daniel P Siewiorek

Asim Smailagic

Alexandre Bernardino

Sergi Bermúdez i Badia

2020/4/2

See List of Professors in Asim Smailagic University(Carnegie Mellon University)