Max A Little

Max A Little

Massachusetts Institute of Technology

H-index: 43

North America-United States

About Max A Little

Max A Little, With an exceptional h-index of 43 and a recent h-index of 36 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of Machine learning/AI, causal inference, signal processing, applied mathematics, computational statistics.

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

Patient-specific game-based transfer method for Parkinson's disease severity prediction

Algorithmic syntactic causal identification

TSDF: A simple yet comprehensive, unified data storage and exchange format standard for digital biosensor data in health applications

GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference

Non-probabilistic Markov categories for causal modeling in machine learning

Causal GraphSAGE: A robust graph method for classification based on causal sampling

Automatic Quality Control and Enhancement for Voice-Based Remote Parkinson's Disease Detection

Detecting Parkinson Disease Using a Web-Based Speech Task: Observational Study

Max A Little Information

University

Position

University of Birmingham/

Citations(all)

11224

Citations(since 2020)

7386

Cited By

6874

hIndex(all)

43

hIndex(since 2020)

36

i10Index(all)

81

i10Index(since 2020)

69

Email

University Profile Page

Massachusetts Institute of Technology

Google Scholar

View Google Scholar Profile

Max A Little Skills & Research Interests

Machine learning/AI

causal inference

signal processing

applied mathematics

computational statistics

Top articles of Max A Little

Title

Journal

Author(s)

Publication Date

Patient-specific game-based transfer method for Parkinson's disease severity prediction

Artificial Intelligence in Medicine

Z. Xue

H. Lu

T. Zhang

Max A. Little

2024/2

Algorithmic syntactic causal identification

arXiv

D. Cakiqi

M.A. Little

2024/3/14

TSDF: A simple yet comprehensive, unified data storage and exchange format standard for digital biosensor data in health applications

arXiv preprint arXiv:2211.11294

Kasper Claes

Valentina Ticcinelli

Reham Badawy

Yordan P Raykov

Luc JW Evers

...

2022/11/21

GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference

Journal of Open Source Software

M.A. Little

2022/8/5

Non-probabilistic Markov categories for causal modeling in machine learning

Dhurim Cakiqi

Max A. Little

2022/7

Causal GraphSAGE: A robust graph method for classification based on causal sampling

Pattern Recognition

Tao Zhang

Hao-Ran Shan

Max A Little

2022/4/8

Automatic Quality Control and Enhancement for Voice-Based Remote Parkinson's Disease Detection

Speech Communication

Amir Hossein Poorjam

Mathew Shaji Kavalekalam

Liming Shi

Jordan P Raykov

Jesper Rindom Jensen

...

2021/3/1

Detecting Parkinson Disease Using a Web-Based Speech Task: Observational Study

Journal of medical Internet research

Wasifur Rahman

Sangwu Lee

Md Saiful Islam

Victor Nikhil Antony

Harshil Ratnu

...

2021/10/19

Smartphones for remote symptom monitoring of Parkinson’s disease

Journal of Parkinson's Disease

Max A. Little

2021/3

Novel algorithms deriving clinical performance measures from smartphone sensor data collected under a walking test

bioRxiv

Max A. Little

Sami Volotinen

Brad Sanderson

Ulla Huopaniemi

Florence D. Mowlem

...

2021/10

Few-shot time series segmentation using prototype-defined infinite hidden Markov models

arXiv

Y. Qarout

Yordan P. Raykov

Max A. Little

2021/2/7

Remote smartphone monitoring of Parkinson’s disease and individual response to therapy

Nature biotechnology

Larsson Omberg

Elias Chaibub Neto

Thanneer M Perumal

Abhishek Pratap

Aryton Tediarjo

...

2022/4

Controlling for sparsity in sparse factor analysis models: adaptive latent feature sharing for piecewise linear dimensionality reduction

arXiv

A Farooq

Yordan P. Raykov

P. Raykov

Max A. Little

2021/2

Probabilistic modelling of gait for robust passive monitoring in daily life

IEEE Journal of Biomedical and Health Informatics

Yordan P Raykov

Luc JW Evers

Reham Badawy

Bastiaan R Bloem

Tom M Heskes

...

2020/11/12

Probabilistic Modelling for Unsupervised Analysis of Human Behaviour in Smart Cities

Engineering Proceedings

Yazan Qarout

Yordan P Raykov

Max A Little

2021/5/17

Remote assessment of Parkinson’s disease symptom severity using the simulated cellular mobile telephone network

IEEE Access

Athanasios Tsanas

Lorraine Ramig

Max A. Little

2021/1

Instantaneous Bayesian Pitch Tracking in Colored Noise

IEEE/ACM Transactions on Audio, Speech, and Language Processing

Liming Shi

Jesper Kjær Nielsen

Jesper Rindom Jensen

Max A Little

Mads Græsbøll Christensen

2020

Detecting Parkinson’s Disease From an Online Speech-Task

arXiv

Wasifur Rahman

Sangwu Lee

Md. Saiful Islam

Victor Nikhil Antony

Harshil Ratnu

...

2020/12

Phenotype-Agnostic Molecular Subtyping of Neurodegenerative Disorders: The Cincinnati Cohort Biomarker Program (CCBP)

Frontiers in Aging Neuroscience

Andrea Sturchio

Luca Marsili

Joaquin A Vizcarra

Alok K Dwivedi

Marcelo A Kauffman

...

2020/10/8

Real-life gait performance as a digital biomarker for motor fluctuations: the Parkinson@Home validation study

Journal of medical Internet research

Luc JW Evers

Yordan P Raykov

Jesse H Krijthe

Ana Lígia Silva de Lima

Reham Badawy

...

2020/10/9

See List of Professors in Max A Little University(Massachusetts Institute of Technology)

Co-Authors

H-index: 182
Anthony E Lang

Anthony E Lang

University of Toronto

H-index: 172
Susan Redline

Susan Redline

Harvard University

H-index: 151
Alex `Sandy' Pentland

Alex `Sandy' Pentland

Massachusetts Institute of Technology

H-index: 134
Guy M Goodwin

Guy M Goodwin

University of Oxford

H-index: 127
Bastiaan R. Bloem

Bastiaan R. Bloem

Radboud Universiteit

H-index: 100
Stephen Roberts

Stephen Roberts

University of Oxford

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