Ivan Porres

Ivan Porres

Åbo Akademi

H-index: 35

Europe-Finland

About Ivan Porres

Ivan Porres, With an exceptional h-index of 35 and a recent h-index of 19 (since 2020), a distinguished researcher at Åbo Akademi, specializes in the field of Trustworthy Software & AI, Computer Science, Software Engineering.

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

Dynamic Test Case Prioritization in Industrial Test Result Datasets

ARCH-COMP 2023 Category Report: Falsification

Requirement falsification for cyber-physical systems using generative models

WOGAN at the SBFT 2023 Tool Competition-Cyber-Physical Systems Track

Consistency of UML class, object and statechart diagrams using ontology reasoners

Falsification of multiple requirements for cyber-physical systems using online generative adversarial networks and multi-armed bandits

A Two-phase Metamorphic Approach for Testing Industrial Control Systems

Early detection of network attacks using deep learning

Ivan Porres Information

University

Position

___

Citations(all)

4923

Citations(since 2020)

1570

Cited By

3977

hIndex(all)

35

hIndex(since 2020)

19

i10Index(all)

78

i10Index(since 2020)

34

Email

University Profile Page

Åbo Akademi

Google Scholar

View Google Scholar Profile

Ivan Porres Skills & Research Interests

Trustworthy Software & AI

Computer Science

Software Engineering

Top articles of Ivan Porres

Title

Journal

Author(s)

Publication Date

Dynamic Test Case Prioritization in Industrial Test Result Datasets

arXiv preprint arXiv:2402.02925

Alina Torbunova

Per Erik Strandberg

Ivan Porres

2024/2/5

ARCH-COMP 2023 Category Report: Falsification

10th International Workshop on Applied Verification of Continuous and Hybrid Systems. ARCH23

Claudio Menghi

Paolo Arcaini

Walstan Baptista

Gidon Ernst

Georgios Fainekos

...

2023

Requirement falsification for cyber-physical systems using generative models

arXiv preprint arXiv:2310.20493

Jarkko Peltomäki

Ivan Porres

2023/10/31

WOGAN at the SBFT 2023 Tool Competition-Cyber-Physical Systems Track

Jesper Winsten

Ivan Porres

2023/5/14

Consistency of UML class, object and statechart diagrams using ontology reasoners

arXiv e-prints

Ali Hanzala Khan

Ivan Porres

2022/5

Falsification of multiple requirements for cyber-physical systems using online generative adversarial networks and multi-armed bandits

Jarkko Peltomäki

Ivan Porres

2022/4/4

A Two-phase Metamorphic Approach for Testing Industrial Control Systems

Gaadha Sudheerbabu

Tanwir Ahmad

Filip Sebek

Dragos Truscan

Jüri Vain

...

2022/9/6

Early detection of network attacks using deep learning

Tanwir Ahmad

Dragos Truscan

Jüri Vain

Ivan Porres

2022/4/4

Ontology driven smart space application development

M Mohsin Saleemi

Natalia Díaz Rodríguez

Espen Suenson

Johan Lilius

Iván Porres

2022/9/1

Wasserstein generative adversarial networks for online test generation for cyber physical systems

Jarkko Peltomäki

Frankie Spencer

Ivan Porres

2022/5/9

WOGAN at the SBST 2022 CPS tool competition

Jarkko Peltomäki

Frankie Spencer

Ivan Porres

2022/5/9

Neurally adjusted ventilatory assist in ventilated very preterm infants: A crossover study

Pediatric Pulmonology

Arata Oda

Vilhelmiina Parikka

Liisa Lehtonen

Sepinoud Azimi

Ivan Porres

...

2021/12

Online GANs for automatic performance testing

Ivan Porres

Hergys Rexha

Sébastien Lafond

2021/4/12

Using deep reinforcement learning for exploratory performance testing of software systems with multi-dimensional input spaces

IEEE Access

TANWIR AHMAD

ADNAN ASHRAF

DRAGOS TRUSCAN

ANDI DOMI

IVAN PORRES

2020

Automatic exploratory performance testing using a discriminator neural network

Ivan Porres

Tanwir Ahmad

Hergys Rexha

Sébastien Lafond

Dragos Truscan

2020/10/24

On the verification and validation of ai navigation algorithms

Ivan Porres

Sepinoud Azimi

Sébastien Lafond

Johan Lilius

Johanna Salokannel

...

2020/10/5

Scenario-based testing of a ship collision avoidance system

Ivan Porres

Sepinoud Azimi

Johan Lilius

2020/8/26

A survey of machine learning approaches for surface maritime navigation

Sepinoud Azimi

Johanna Salokannel

Sébastien Lafond

Johan Lilius

Mirva Salokorpi

...

2020

See List of Professors in Ivan Porres University(Åbo Akademi)

Co-Authors

H-index: 54
Pasi Liljeberg

Pasi Liljeberg

Turun yliopisto

H-index: 53
Per Runeson

Per Runeson

Lunds Universitet

H-index: 42
Beatriz Pérez

Beatriz Pérez

Universidad de La Rioja

H-index: 42
Tommi Mikkonen

Tommi Mikkonen

Helsingin yliopisto

H-index: 42
Juha Plosila

Juha Plosila

Turun yliopisto

H-index: 40
Ralph-Johan Back

Ralph-Johan Back

Åbo Akademi

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