Andreas Niskanen

About Andreas Niskanen

Andreas Niskanen, With an exceptional h-index of 11 and a recent h-index of 11 (since 2020), a distinguished researcher at Helsingin yliopisto, specializes in the field of Artificial Intelligence, Optimization, Automated Reasoning, Argumentation.

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

Learning MDL logic programs from noisy data

Learning big logical rules by joining small rules

Computing MUS-based inconsistency measures

SAT-based Judgment Aggregation.

Solver and Benchmark Descriptions of ICCMA 2023: 5th International Competition on Computational Models of Argumentation

MaxSAT Evaluation 2023: Solver and Benchmark Descriptions

Design of ICCMA 2023, 5th International Competition on Computational Models of Argumentation: A Preliminary Report

MaxSAT-Based inconsistency measurement

Andreas Niskanen Information

University

Position

Postdoctoral Researcher Department of Computer Science

Citations(all)

408

Citations(since 2020)

350

Cited By

142

hIndex(all)

11

hIndex(since 2020)

11

i10Index(all)

12

i10Index(since 2020)

12

Email

University Profile Page

Google Scholar

Andreas Niskanen Skills & Research Interests

Artificial Intelligence

Optimization

Automated Reasoning

Argumentation

Top articles of Andreas Niskanen

Learning MDL logic programs from noisy data

Proceedings of the AAAI Conference on Artificial Intelligence

2024/3/24

Learning big logical rules by joining small rules

arXiv preprint arXiv:2401.16215

2024/1/29

Computing MUS-based inconsistency measures

2023/9/20

SAT-based Judgment Aggregation.

2023/5/30

Andreas Niskanen
Andreas Niskanen

H-Index: 6

Matti Järvisalo
Matti Järvisalo

H-Index: 23

Solver and Benchmark Descriptions of ICCMA 2023: 5th International Competition on Computational Models of Argumentation

2023

MaxSAT Evaluation 2023: Solver and Benchmark Descriptions

2023

Design of ICCMA 2023, 5th International Competition on Computational Models of Argumentation: A Preliminary Report

Proceedings http://ceur-ws. org ISSN

2023

MaxSAT-Based inconsistency measurement

2023

Computing Smallest MUSes of Quantified Boolean Formulas

2022/8/29

Advanced algorithms for abstract dialectical frameworks based on complexity analysis of subclasses and SAT solving

Artificial Intelligence

2022/6/1

Incremental maximum satisfiability

2022

MaxSAT-based bi-objective boolean optimization

2022

Acceptance in incomplete argumentation frameworks

Artificial Intelligence

2021/6/1

Controllability of control argumentation frameworks

2021/1/7

Enabling incrementality in the implicit hitting set approach to MaxSAT under changing weights

2021

Computational approaches to dynamics and uncertainty in abstract argumentation

2020/10/13

Andreas Niskanen
Andreas Niskanen

H-Index: 6

Deciding acceptance in incomplete argumentation frameworks

Proceedings of the AAAI Conference on Artificial Intelligence

2020/4/3

Smallest explanations and diagnoses of rejection in abstract argumentation

2020

Andreas Niskanen
Andreas Niskanen

H-Index: 6

Matti Järvisalo
Matti Järvisalo

H-Index: 23

μ-toksia: an efficient abstract argumentation reasoner

2020

Andreas Niskanen
Andreas Niskanen

H-Index: 6

Matti Järvisalo
Matti Järvisalo

H-Index: 23

Strong refinements for hard problems in argumentation dynamics

2020

Andreas Niskanen
Andreas Niskanen

H-Index: 6

Matti Järvisalo
Matti Järvisalo

H-Index: 23

See List of Professors in Andreas Niskanen University(Helsingin yliopisto)

Co-Authors

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