Isaac Skog

Isaac Skog

Linköpings Universitet

H-index: 33

Europe-Sweden

About Isaac Skog

Isaac Skog, With an exceptional h-index of 33 and a recent h-index of 27 (since 2020), a distinguished researcher at Linköpings Universitet, specializes in the field of Signal Processing, Estimation theory, ITS.

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

Uncertainty quantification in neural network classifiers—A local linear approach

Dynamically Iterated Filters: A unified framework for improved iterated filtering and smoothing

MAINS: A Magnetic Field Aided Inertial Navigation System for Indoor Positioning

Signals-of-Opportunity-Based Hydrophone Array Shape and Orientation Estimation

Extended target tracking utilizing machine-learning software–with applications to animal classification

Underwater environment modeling for passive sonar track-before-detect

Fusion framework and multimodality for the Laplacian approximation of Bayesian neural networks

On the validity of using the delta method for calculating the uncertainty of the predictions from an overparameterized model

Isaac Skog Information

University

Position

___

Citations(all)

5245

Citations(since 2020)

2644

Cited By

3734

hIndex(all)

33

hIndex(since 2020)

27

i10Index(all)

60

i10Index(since 2020)

47

Email

University Profile Page

Linköpings Universitet

Google Scholar

View Google Scholar Profile

Isaac Skog Skills & Research Interests

Signal Processing

Estimation theory

ITS

Top articles of Isaac Skog

Title

Journal

Author(s)

Publication Date

Uncertainty quantification in neural network classifiers—A local linear approach

Automatica

Magnus Malmström

Isaac Skog

Daniel Axehill

Fredrik Gustafsson

2024/5/1

Dynamically Iterated Filters: A unified framework for improved iterated filtering and smoothing

arXiv preprint arXiv:2404.15359

Anton Kullberg

Martin A Skoglund

Isaac Skog

Gustaf Hendeby

2024/4/17

MAINS: A Magnetic Field Aided Inertial Navigation System for Indoor Positioning

IEEE Sensors Journal

Chuan Huang

Gustaf Hendeby

Hassen Fourati

Christophe Prieur

Isaac Skog

2024/3/26

Signals-of-Opportunity-Based Hydrophone Array Shape and Orientation Estimation

IEEE Journal of Oceanic Engineering

Isaac Skog

Magnus Lundberg Nordenvaad

Gustaf Hendeby

2024/3/18

Extended target tracking utilizing machine-learning software–with applications to animal classification

IEEE Signal Processing Letters

Magnus Malmström

Anton Kullberg

Isaac Skog

Daniel Axehill

Fredrik Gustafsson

2024/1/11

Underwater environment modeling for passive sonar track-before-detect

Daniel Bossér

Robin Forsling

Isaac Skog

Gustaf Hendeby

Magnus Lundberg Nordenvaad

2023/6/5

Fusion framework and multimodality for the Laplacian approximation of Bayesian neural networks

arXiv preprint arXiv:2310.08315

Magnus Malmström

Isaac Skog

Daniel Axehill

Fredrik Gustafsson

2023/10/12

On the validity of using the delta method for calculating the uncertainty of the predictions from an overparameterized model

IFAC-PapersOnLine

Magnus Malmström

Isaac Skog

Daniel Axehill

Fredrik Gustafsson

2023/1/1

Tightly Integrated Motion Classification and State Estimation in Foot-Mounted Navigation Systems

Isaac Skog

Gustaf Hendeby

Manon Kok

2023/9/25

Unified Linearization-based Nonlinear Filtering

arXiv preprint arXiv:2309.07631

Anton Kullberg

Isaac Skog

Gustaf Hendeby

2023/9/14

Iterated Filters for Nonlinear Transition Models

Anton Kullberg

Isaac Skog

Gustaf Hendeby

2023/6/27

On the Relationship Between Iterated Statistical Linearization and Quasi–Newton Methods

IEEE Signal Processing Letters

Anton Kullberg

Martin A Skoglund

Isaac Skog

Gustaf Hendeby

2023/11/24

A Novel and Fast Approach for Reconstructing CASSI-Raman Spectra using Generative Adversarial Networks

Jacob Eek

David Gustafsson

Ludwig Hollmann

Markus Nordberg

Isaac Skog

...

2022/4/19

Inertial navigation using an inertial sensor array

arXiv preprint arXiv:2201.11983

Håkan Carlsson

Isaac Skog

Gustaf Hendeby

Joakim Jaldén

2022/1/28

A statistically motivated likelihood for track-before-detect

Daniel Bossér

Gustaf Hendeby

Magnus Lundberg Nordenvaad

Isaac Skog

2022/9/20

Maximum likelihood separation of anthropogenic and wind-generated underwater noise

The Journal of the Acoustical Society of America

Robin Larsson Nordström

Emilia Lalander

Isaac Skog

Mathias Andersson

2022/9/1

Detection of outliers in classification by using quantified uncertainty in neural networks

Magnus Malmström

Isaac Skog

Daniel Axehill

Fredrik Gustafsson

2022/7/4

A tightly-integrated magnetic-field aided inertial navigation system

Chuan Huang

Gustaf Hendeby

Isaac Skog

2022/7/4

Online joint state inference and learning of partially unknown state-space models

IEEE Transactions on Signal Processing

Anton Kullberg

Isaac Skog

Gustaf Hendeby

2021/7/9

Quantifying the uncertainty of the relative geometry in inertial sensors arrays

IEEE Sensors Journal

Håkan Carlsson

Isaac Skog

Thomas B Schön

Joakim Jaldén

2021/6/17

See List of Professors in Isaac Skog University(Linköpings Universitet)

Co-Authors

H-index: 82
Arye Nehorai

Arye Nehorai

Washington University in St. Louis

H-index: 73
Fredrik Gustafsson

Fredrik Gustafsson

Linköpings Universitet

H-index: 56
Gammon M. Earhart, PT, PhD

Gammon M. Earhart, PT, PhD

Washington University in St. Louis

H-index: 49
Peter Händel

Peter Händel

Kungliga Tekniska högskolan

H-index: 35
Paolo Carbone

Paolo Carbone

Università degli Studi di Perugia

H-index: 34
Joakim Jaldén

Joakim Jaldén

Kungliga Tekniska högskolan

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