Ioannis Koutis

Ioannis Koutis

New Jersey Institute of Technology

H-index: 21

North America-United States

About Ioannis Koutis

Ioannis Koutis, With an exceptional h-index of 21 and a recent h-index of 16 (since 2020), a distinguished researcher at New Jersey Institute of Technology, specializes in the field of Theoretical Computer Science.

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

DS 677-852: Deep Learning

DS 675-1J2: Machine Learning

Resource-constrained knowledge diffusion processes inspired by human peer learning

K-SpecPart: Supervised Embedding Algorithms and Cut Overlay for Improved Hypergraph Partitioning

An Open-Source Constraints-Driven General Partitioning Multi-Tool for VLSI Physical Design

Towards foundational models for molecular learning on large-scale multi-task datasets

Sidestepping Barriers for Dominating Set in Parameterized Complexity

Neural network pruning as spectrum preserving process

Ioannis Koutis Information

University

Position

___

Citations(all)

2251

Citations(since 2020)

859

Cited By

1829

hIndex(all)

21

hIndex(since 2020)

16

i10Index(all)

27

i10Index(since 2020)

18

Email

University Profile Page

Google Scholar

Ioannis Koutis Skills & Research Interests

Theoretical Computer Science

Top articles of Ioannis Koutis

DS 677-852: Deep Learning

2024

Ioannis Koutis
Ioannis Koutis

H-Index: 16

DS 675-1J2: Machine Learning

2024

Ioannis Koutis
Ioannis Koutis

H-Index: 16

Resource-constrained knowledge diffusion processes inspired by human peer learning

arXiv preprint arXiv:2312.00660

2023/12/1

Ioannis Koutis
Ioannis Koutis

H-Index: 16

K-SpecPart: Supervised Embedding Algorithms and Cut Overlay for Improved Hypergraph Partitioning

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

2023/11/13

Ioannis Koutis
Ioannis Koutis

H-Index: 16

Bodhisatta Pramanik
Bodhisatta Pramanik

H-Index: 1

An Open-Source Constraints-Driven General Partitioning Multi-Tool for VLSI Physical Design

2023/10/28

Ioannis Koutis
Ioannis Koutis

H-Index: 16

Bodhisatta Pramanik
Bodhisatta Pramanik

H-Index: 1

Sidestepping Barriers for Dominating Set in Parameterized Complexity

arXiv preprint arXiv:2309.15645

2023/9/27

Ioannis Koutis
Ioannis Koutis

H-Index: 16

Neural network pruning as spectrum preserving process

2023/7

K-SpecPart: A Supervised Spectral Framework for Multi-Way Hypergraph Partitioning Solution Improvement

arXiv preprint arXiv:2305.06167

2023/5/7

Ioannis Koutis
Ioannis Koutis

H-Index: 16

Bodhisatta Pramanik
Bodhisatta Pramanik

H-Index: 1

DS 675: Machine Learning

2023

DS 677: Deep Learning

2023

Ioannis Koutis
Ioannis Koutis

H-Index: 16

SpecPart: A supervised spectral framework for hypergraph partitioning solution improvement

2022/10/30

Ioannis Koutis
Ioannis Koutis

H-Index: 16

Bodhisatta Pramanik
Bodhisatta Pramanik

H-Index: 1

SGC: A semi-supervised pipeline for gene clustering using self-training approach in gene co-expression networks

arXiv preprint arXiv:2209.10545

2022/9/21

Ioannis Koutis
Ioannis Koutis

H-Index: 16

Ensemble learning as a peer process

Agent Learning in Open-Endedness (ALOE) Workshop. ICRL 2022

2022/4

Ioannis Koutis
Ioannis Koutis

H-Index: 16

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2022

Ioannis Koutis
Ioannis Koutis

H-Index: 16

Bodhisatta Pramanik
Bodhisatta Pramanik

H-Index: 1

A novel calibration step in gene co-expression network construction

Frontiers in Bioinformatics

2021/11/23

Ioannis Koutis
Ioannis Koutis

H-Index: 16

Neurally boosted supervised spectral clustering

2021/10/6

Ioannis Koutis
Ioannis Koutis

H-Index: 16

Spectral Hypergraph Partitioning Revisited

SIAM Conference on Applied and Computational Discrete Algorithms

2021/7

Bodhisatta Pramanik
Bodhisatta Pramanik

H-Index: 1

Ioannis Koutis
Ioannis Koutis

H-Index: 16

Peer learning through targeted dynamic groups formation

2021/4/19

CS 610-J31: Data Structures and Algorithms

2020

Ioannis Koutis
Ioannis Koutis

H-Index: 16

See List of Professors in Ioannis Koutis University(New Jersey Institute of Technology)

Co-Authors

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