Daniele Magazzeni

Daniele Magazzeni

King's College

H-index: 30

North America-United States

About Daniele Magazzeni

Daniele Magazzeni, With an exceptional h-index of 30 and a recent h-index of 26 (since 2020), a distinguished researcher at King's College, specializes in the field of Artificial Intelligence, XAI, Fairness, Optimization, Planning.

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

Accelerating Cutting-Plane Algorithms via Reinforcement Learning Surrogates

SHAP@ k: Efficient and Probably Approximately Correct (PAC) Identification of Top-k Features

Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions

Translation-based algorithm for generating global and efficient counterfactual explanations in artificial intelligence

Method and system for improving model fairness by using explainability techniques

Deep Reinforcement Learning and Mean-Variance Strategies for Responsible Portfolio Optimization

Method and system for solving reconciliation tasks by integrating clustering and optimization

Accelerating Benders Decomposition via Reinforcement Learning Surrogate Models

Daniele Magazzeni Information

University

Position

Reader in Artificial Intelligence

Citations(all)

3599

Citations(since 2020)

2672

Cited By

1891

hIndex(all)

30

hIndex(since 2020)

26

i10Index(all)

63

i10Index(since 2020)

48

Email

University Profile Page

King's College

Google Scholar

View Google Scholar Profile

Daniele Magazzeni Skills & Research Interests

Artificial Intelligence

XAI

Fairness

Optimization

Planning

Top articles of Daniele Magazzeni

Title

Journal

Author(s)

Publication Date

Accelerating Cutting-Plane Algorithms via Reinforcement Learning Surrogates

Proceedings of the AAAI Conference on Artificial Intelligence

Kyle Mana

Fernando Acero

Stephen Mak

Parisa Zehtabi

Michael Cashmore

...

2024/3/24

SHAP@ k: Efficient and Probably Approximately Correct (PAC) Identification of Top-k Features

Proceedings of the AAAI Conference on Artificial Intelligence

Sanjay Kariyappa

Leonidas Tsepenekas

Freddy Lécué

Daniele Magazzeni

2024/3/24

Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions

Advances in Neural Information Processing Systems

Leonidas Tsepenekas

Ivan Brugere

Freddy Lecue

Daniele Magazzeni

2024/2/13

Translation-based algorithm for generating global and efficient counterfactual explanations in artificial intelligence

2024/1/25

Method and system for improving model fairness by using explainability techniques

2024/4/18

Deep Reinforcement Learning and Mean-Variance Strategies for Responsible Portfolio Optimization

arXiv preprint arXiv:2403.16667

Fernando Acero

Parisa Zehtabi

Nicolas Marchesotti

Michael Cashmore

Daniele Magazzeni

...

2024/3/25

Method and system for solving reconciliation tasks by integrating clustering and optimization

2023/11/2

Accelerating Benders Decomposition via Reinforcement Learning Surrogate Models

FinPlan 2023

Kyle Mana

Stephen Mak

Parisa Zehtabi

Michael Cashmore

Daniele Magazzeni

...

2023

GLOBE-CE: a translation based approach for global counterfactual explanations

Dan Ley

Saumitra Mishra

Daniele Magazzeni

2023/7/23

System and method for providing global counterfactual explanations in artificial intelligence

2023/10/12

FinRDDL: Can AI Planning be used for Quantitative Finance Problems?

FinPlan

Sunandita Patra

Mahmoud Mahfouz

Sriram Gopalakrishnan

Daniele Magazzeni

Manuela Veloso

2023

Robust counterfactual explanations for neural networks with probabilistic guarantees

Faisal Hamman

Erfaun Noorani

Saumitra Mishra

Daniele Magazzeni

Sanghamitra Dutta

2023/7/3

REFRESH: Responsible and Efficient Feature Reselection guided by SHAP values

Shubham Sharma

Sanghamitra Dutta

Emanuele Albini

Freddy Lecue

Daniele Magazzeni

...

2023/8/8

Method and system for optimization of task management issue planning

2023/6/20

On the connection between game-theoretic feature attributions and counterfactual explanations

Emanuele Albini

Shubham Sharma

Saumitra Mishra

Danial Dervovic

Daniele Magazzeni

2023/7/13

Method and system for providing dynamic workspace scheduler

2023/4/13

Privacy-Preserving Algorithmic Recourse

arXiv preprint arXiv:2311.14137

Sikha Pentyala

Shubham Sharma

Sanjay Kariyappa

Freddy Lecue

Daniele Magazzeni

2023/11/23

Towards Accelerating Benders Decomposition via Reinforcement Learning Surrogate Models

arXiv preprint arXiv:2307.08816

Stephen Mak

Kyle Mana

Parisa Zehtabi

Michael Cashmore

Daniele Magazzeni

...

2023/7/17

Bayesian hierarchical models for counterfactual estimation

Natraj Raman

Daniele Magazzeni

Sameena Shah

2023/4/11

System and method for generating grouped shapley values

2023/11/9

See List of Professors in Daniele Magazzeni University(King's College)

Co-Authors

H-index: 47
Derek Long

Derek Long

King's College

H-index: 47
Andreas Podelski

Andreas Podelski

Albert-Ludwigs-Universität Freiburg

H-index: 43
Edelkamp, Stefan

Edelkamp, Stefan

Ceské vysoké ucení technické v Praze

H-index: 43
Marc Carreras

Marc Carreras

Universidad de Gerona

H-index: 42
Joaquim Salvi (ORCID: 0000-0002-9482-7126)

Joaquim Salvi (ORCID: 0000-0002-9482-7126)

Universidad de Gerona

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