Ivana Dusparic

Ivana Dusparic

Trinity College

H-index: 21

North America-United States

About Ivana Dusparic

Ivana Dusparic, With an exceptional h-index of 21 and a recent h-index of 19 (since 2020), a distinguished researcher at Trinity College, specializes in the field of reinforcement learning, self-adaptive systems, multi-agent systems, intelligent mobility, communication networks.

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

Redefining Counterfactual Explanations for Reinforcement Learning: Overview, Challenges and Opportunities

FedSBS: Federated-Learning participant-selection method for Intrusion Detection Systems

Guest editorial: Role of agents in traffic and transportation

RACCER: Towards Reachable and Certain Counterfactual Explanations for Reinforcement Learning

Learning Recovery Strategies for Dynamic Self-healing in Reactive Systems

Learning-assisted User Scheduling and Beamforming for mmWave Vehicular Networks

ACTER: Diverse and Actionable Counterfactual Sequences for Explaining and Diagnosing RL Policies

Deep W-Networks: Solving Multi-Objective Optimisation Problems With Deep Reinforcement Learning

Ivana Dusparic Information

University

Position

Assistant Professor at

Citations(all)

1787

Citations(since 2020)

1423

Cited By

716

hIndex(all)

21

hIndex(since 2020)

19

i10Index(all)

44

i10Index(since 2020)

38

Email

University Profile Page

Trinity College

Google Scholar

View Google Scholar Profile

Ivana Dusparic Skills & Research Interests

reinforcement learning

self-adaptive systems

multi-agent systems

intelligent mobility

communication networks

Top articles of Ivana Dusparic

Title

Journal

Author(s)

Publication Date

Redefining Counterfactual Explanations for Reinforcement Learning: Overview, Challenges and Opportunities

Jasmina Gajcin

Ivana Dusparic

2024

FedSBS: Federated-Learning participant-selection method for Intrusion Detection Systems

Computer Networks

Helio N Cunha Neto

Jernej Hribar

Ivana Dusparic

Natalia C Fernandes

Diogo MF Mattos

2024/5/1

Guest editorial: Role of agents in traffic and transportation

Computer Science and Information Systems

Marin Lujak

Ana LC Bazzan

Ivana Dusparic

Giuseppe Vizzari

2024

RACCER: Towards Reachable and Certain Counterfactual Explanations for Reinforcement Learning

Jasmina Gajcin

Ivana Dusparic

2024/5

Learning Recovery Strategies for Dynamic Self-healing in Reactive Systems

Mateo Sanabria

Nicolas Cardozo

Ivana Dusparic

2024/4

Learning-assisted User Scheduling and Beamforming for mmWave Vehicular Networks

IEEE Transactions on Vehicular Technology

Bowen Xie

Sheng Chen

Sheng Zhou

Zhisheng Niu

Boris Galkin

...

2024/3/5

ACTER: Diverse and Actionable Counterfactual Sequences for Explaining and Diagnosing RL Policies

https://arxiv.org/abs/2402.06503

Jasmina Gajcin

Ivana Dusparic

2024/2

Deep W-Networks: Solving Multi-Objective Optimisation Problems With Deep Reinforcement Learning

arXiv preprint arXiv:2211.04813

Jernej Hribar

Luke Hackett

Ivana Dusparic

2022/11/9

Auto-cop: adaptation generation in context-oriented programming using reinforcement learning options

Information and Software Technology

Nicolás Cardozo

Ivana Dusparic

2023/12/1

Adaptive height optimization for cellular-connected UAVs: A deep reinforcement learning approach

IEEE Access

Erika Fonseca

Boris Galkin

Ramy Amer

Luiz A DaSilva

Ivana Dusparic

2023/1/4

Density-Aware Reinforcement Learning to Optimise Energy Efficiency in UAV-Assisted Networks

Babatunji Omoniwa

Boris Galkin

Ivana Dusparic

2023/6

Agents in Traffic and Transportation (ATT 2022): Revised and Extended Papers

AI Communications

Ana LC Bazzan

Ivana Dusparic

Marin Lujak

Giuseppe Vizzari

2023

Prevalence of Code Smells in Reinforcement Learning Projects

Nicolás Cardozo

Ivana Dusparic

Christian Cabrera

2023/5/15

Expert-Free Online Transfer Learning in Multi-Agent Reinforcement Learning

Alberto Castagna

Ivana Dusparic

2023/9

A survey on securing federated learning: Analysis of applications, attacks, challenges, and trends

Helio N Cunha Neto

Jernej Hribar

Ivana Dusparic

Diogo Menezes Ferrazani Mattos

Natalia C Fernandes

2023

Reservation of Virtualized Resources with Optimistic Online Learning

Jean-Baptiste Monteil

George Iosifidis

Ivana Dusparic

2023/5/28

Message from the Program Chairs ACSOS 2023

Ivana Dusparic

Barry Porter

2023/9/1

Securing Federated Learning: A Security Analysis on Applications, Attacks, Challenges, and Trends

Helio N Cunha Neto

Jernej Hribar

Ivana Dusparic

Diogo MF Mattos

Natalia C Fernandes

2023/4/24

Iterative Reward Shaping using Human Feedback for Correcting Reward Misspecification

Jasmina Gajcin

James McCarthy

Radu Nair

Rahul

Marinescu

...

2023/9

Next Generation Context-oriented Programming: Embracing Dynamic Generation of Adaptations

Journal of Object Technology

Nicolás Cardozo

Ivana Dusparic

2022/4

See List of Professors in Ivana Dusparic University(Trinity College)

Co-Authors

H-index: 46
Luiz DaSilva

Luiz DaSilva

Virginia Polytechnic Institute and State University

H-index: 45
Vinny Cahill

Vinny Cahill

Trinity College

H-index: 43
Siobhan Clarke

Siobhan Clarke

Trinity College

H-index: 27
Edgar Galvan

Edgar Galvan

Maynooth University

H-index: 23
Colin Harris

Colin Harris

Trinity College

H-index: 23
Ransford A. Acheampong

Ransford A. Acheampong

Manchester University

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