Slawomir Nowaczyk

Slawomir Nowaczyk

Högskolan i Halmstad

H-index: 21

Europe-Sweden

About Slawomir Nowaczyk

Slawomir Nowaczyk, With an exceptional h-index of 21 and a recent h-index of 19 (since 2020), a distinguished researcher at Högskolan i Halmstad, specializes in the field of Artificial Intelligence, Machine Learning, Knowledge Representation.

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

Mind the Data, Measuring the Performance Gap Between Tree Ensembles and Deep Learning on Tabular Data

Fast Genetic Algorithm for feature selection--A qualitative approximation approach

Exploring classical machine learning for identification of pathological lung auscultations

Rolling the dice for better deep learning performance: A study of randomness techniques in deep neural networks

Data Analytics for Improving Energy Efficiency in Short Sea Shipping

Evaluating Charging Strategies for Electric Vehicles

Time-Series Analysis Approach for Improving Energy Efficiency of a Fixed-Route Vessel in Short-Sea Shipping

Material handling machine activity recognition by context ensemble with gated recurrent units

Slawomir Nowaczyk Information

University

Position

Professor Center for Applied Intelligent Systems Research

Citations(all)

1614

Citations(since 2020)

1364

Cited By

652

hIndex(all)

21

hIndex(since 2020)

19

i10Index(all)

40

i10Index(since 2020)

36

Email

University Profile Page

Högskolan i Halmstad

Google Scholar

View Google Scholar Profile

Slawomir Nowaczyk Skills & Research Interests

Artificial Intelligence

Machine Learning

Knowledge Representation

Top articles of Slawomir Nowaczyk

Title

Journal

Author(s)

Publication Date

Mind the Data, Measuring the Performance Gap Between Tree Ensembles and Deep Learning on Tabular Data

Axel Karlsson

Tianze Wang

Slawomir Nowaczyk

Sepideh Pashami

Sahar Asadi

2024/4/16

Fast Genetic Algorithm for feature selection--A qualitative approximation approach

arXiv e-prints

Mohammed Ghaith Altarabichi

Sławomir Nowaczyk

Sepideh Pashami

Peyman Sheikholharam Mashhadi

2024/4

Exploring classical machine learning for identification of pathological lung auscultations

Computers in Biology and Medicine

Haroldas Razvadauskas

Evaldas Vaičiukynas

Kazimieras Buškus

Lukas Arlauskas

Sławomir Nowaczyk

...

2024/1/1

Rolling the dice for better deep learning performance: A study of randomness techniques in deep neural networks

Information Sciences

Mohammed Ghaith Altarabichi

Sławomir Nowaczyk

Sepideh Pashami

Peyman Sheikholharam Mashhadi

Julia Handl

2024/5/1

Data Analytics for Improving Energy Efficiency in Short Sea Shipping

arXiv preprint arXiv:2404.00902

Mohamed Abuella

Hadi Fanaee

M Atou

Slawomir Nowaczyk

Simon Johansson

...

2024/4/1

Evaluating Charging Strategies for Electric Vehicles

Zeinab Shahbazi

Siddhant Som

Slawomir Nowaczyk

Jens Andersson

Sami Fatmi

2024/2/6

Time-Series Analysis Approach for Improving Energy Efficiency of a Fixed-Route Vessel in Short-Sea Shipping

arXiv preprint arXiv:2402.00698

Mohamed Abuella

Hadi Fanaee

Slawomir Nowaczyk

Simon Johansson

Ethan Faghani

2024/2/1

Material handling machine activity recognition by context ensemble with gated recurrent units

Engineering Applications of Artificial Intelligence

Kunru Chen

Thorsteinn Rögnvaldsson

Sławomir Nowaczyk

Sepideh Pashami

Jonas Klang

...

2023/11/1

A Knowledge-Based AI Framework for Mobility as a Service

Sustainability

Enayat Rajabi

Sławomir Nowaczyk

Sepideh Pashami

Magnus Bergquist

Geethu Susan Ebby

...

2023/1

Semantics-aware Dynamic Graph Convolutional Network for Traffic Flow Forecasting

IEEE Transactions on Vehicular Technology

Guojun Liang

U Kintak

Xin Ning

Prayag Tiwari

Slawomir Nowaczyk

...

2023/1/30

Explainable Predictive Maintenance

arXiv preprint arXiv:2306.05120

Sepideh Pashami

Slawomir Nowaczyk

Yuantao Fan

Jakub Jakubowski

Nuno Paiva

...

2023/6/8

Analysis of Statistical Data Heterogeneity in Federated Fault Identification

PHM Society Asia-Pacific Conference

Zahra Taghiyarrenani

Slawomir Nowaczyk

Sepideh Pashami

2023/9/4

EcoShap: Save Computations by only Calculating Shapley Values for Relevant Features

Parisa Jamshidi

Sławomir Nowaczyk

Mahmoud Rahat

2023/9/30

Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2022, Grenoble, France, September 19–23, 2022 …

Michael Kamp

Irena Koprinska

Adrien Bibal

Tassadit Bouadi

Benoît Frénay

...

2022/2/18

Fast Genetic Algorithm for feature selection—A qualitative approximation approach

Mohammed Ghaith Altarabichi

Sławomir Nowaczyk

Sepideh Pashami

Peyman Sheikholharam Mashhadi

2023/7/15

Learning Causal Mechanisms through Orthogonal Neural Networks

Peyman Sheikholharam Mashhadi

Sławomir Nowaczyk

2023/6/5

Evaluation of Multi-Modal Learning for Predicting Coolant Pump Failures in Heavy Duty Vehicles

PHM Society Asia-Pacific Conference

Yuantao Fan

Amine Atoui

Slawomir Nowaczyk

Thorsteinn Rognvaldsson

2023/9/4

Towards Explainable Deep Domain Adaptation

Szymon Bobek

Sławomir Nowaczyk

Sepideh Pashami

Zahra Taghiyarrenani

Grzegorz J Nalepa

2023/9/30

Toward Solving Domain Adaptation with Limited Source Labeled Data

Kunru Chen

Thorsteinn Rögnvaldsson

Sławomir Nowaczyk

Sepideh Pashami

Jonas Klang

...

2023/12/4

Information-gathering in latent bandits

Knowledge-Based Systems

Alexander Galozy

Sławomir Nowaczyk

2023/1/25

See List of Professors in Slawomir Nowaczyk University(Högskolan i Halmstad)

Co-Authors

H-index: 29
Grzegorz J. Nalepa

Grzegorz J. Nalepa

Uniwersytet Jagiellonski

H-index: 28
Thorsteinn Rognvaldsson

Thorsteinn Rognvaldsson

Högskolan i Halmstad

H-index: 26
Göran Falkman

Göran Falkman

Högskolan i Skövde

H-index: 18
Jacek Malec

Jacek Malec

Lunds Universitet

H-index: 15
Stefan Byttner

Stefan Byttner

Högskolan i Halmstad

H-index: 14
Sepideh Pashami

Sepideh Pashami

Högskolan i Halmstad

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