Cèsar Ferri

About Cèsar Ferri

Cèsar Ferri, With an exceptional h-index of 26 and a recent h-index of 18 (since 2020), a distinguished researcher at Universidad Politécnica de València, specializes in the field of Artificial Intelligence, Machine Learning, Inductive Programming, Machine Teaching, Program Synthesis.

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

When Redundancy Matters: Machine Teaching of Representations

Explainable AI in Biomedical Research: A Systematic Review and Meta-Analysis

Predictable Artificial Intelligence

XAI with machine teaching when humans are (not) informed about the irrelevant features

A historical perspective of biomedical explainable AI research

Reject Before You Run: Small Assessors Anticipate Big Language Models.

Comportamiento de algoritmos de sobre-muestreo en Big Data

Non-Cheating Teaching Revisited: A New Probabilistic Machine Teaching Model.

Cèsar Ferri Information

University

Position

VRAIN.

Citations(all)

6270

Citations(since 2020)

3057

Cited By

4005

hIndex(all)

26

hIndex(since 2020)

18

i10Index(all)

52

i10Index(since 2020)

32

Email

University Profile Page

Universidad Politécnica de València

Google Scholar

View Google Scholar Profile

Cèsar Ferri Skills & Research Interests

Artificial Intelligence

Machine Learning

Inductive Programming

Machine Teaching

Program Synthesis

Top articles of Cèsar Ferri

Title

Journal

Author(s)

Publication Date

When Redundancy Matters: Machine Teaching of Representations

arXiv preprint arXiv:2401.12711

Cèsar Ferri

Dario Garigliotti

Brigt Arve Toppe Håvardstun

Josè Hernández-Orallo

Jan Arne Telle

2024/1/23

Explainable AI in Biomedical Research: A Systematic Review and Meta-Analysis

Luca Malinverno

Vesna Barros

Francesco Ghisoni

Giovanni Visonà

Roman Kern

...

2023/7

Predictable Artificial Intelligence

arXiv preprint arXiv:2310.06167

Lexin Zhou

Pablo A Moreno-Casares

Fernando Martínez-Plumed

John Burden

Ryan Burnell

...

2023/10/9

XAI with machine teaching when humans are (not) informed about the irrelevant features

Brigt Arve Toppe Håvardstun

Cèsar Ferri

Jose Hernández-Orallo

Pekka Parviainen

Jan Arne Telle

2023/9/17

A historical perspective of biomedical explainable AI research

Luca Malinverno

Vesna Barros

Francesco Ghisoni

Giovanni Visonà

Roman Kern

...

2023/9/8

Reject Before You Run: Small Assessors Anticipate Big Language Models.

Lexin Zhou

Fernando Martínez-Plumed

José Hernández-Orallo

Cèsar Ferri

Wout Schellaert

2022

Comportamiento de algoritmos de sobre-muestreo en Big Data

Ideas en Ciencias de la Ingeniería

Angélica Guzmán Ponce

César Ferri

José Salvador Sánchez-Garreta

José Raymundo Marcial-Romero

2022/10/10

Non-Cheating Teaching Revisited: A New Probabilistic Machine Teaching Model.

Cesar Ferri

José Hernández-Orallo

Jan Arne Telle

2022

Beyond the imitation game: Quantifying and extrapolating the capabilities of language models

arXiv preprint arXiv:2206.04615

Aarohi Srivastava

Abhinav Rastogi

Abhishek Rao

Abu Awal Md Shoeb

Abubakar Abid

...

2022/6/9

A Probabilistic Framework for Non-Cheating Machine Teaching

César Ferri Ramírez

José Hernández Orallo

Jan Arne Telle

2022/5/3

Robustness Testing of Machine Learning Families using Instance-Level IRT-Difficulty.

Raül Fabra-Boluda

Cèsar Ferri

Fernando Martínez-Plumed

María José Ramírez-Quintana

2022

Can language models automate data wrangling?

Machine Learning

Gonzalo Jaimovitch-López

Cèsar Ferri

José Hernández-Orallo

Fernando Martínez-Plumed

María José Ramírez-Quintana

2022/12/1

Muppets: Multipurpose Table Segmentation

Gust Verbruggen

Lidia Contreras-Ochando

Cèsar Ferri

José Hernández-Orallo

Luc De Raedt

2021

Think Big, Teach Small: Do Language Models Distil Occam’s Razor?

Advances in Neural Information Processing Systems

Gonzalo Jaimovitch-Lopez

David Castellano Falcón

Cesar Ferri

José Hernández-Orallo

2021/12/6

Missing the missing values: The ugly duckling of fairness in machine learning

International Journal of Intelligent Systems

Martínez‐Plumed Fernando

Ferri Cèsar

Nieves David

Hernández‐Orallo José

2021/7

AUTOMAT[R]IX: learning simple matrix pipelines

Machine Learning

Lidia Contreras-Ochando

Cèsar Ferri

José Hernández-Orallo

2021/4

Learning alternative ways of performing a task

Expert Systems with Applications

David Nieves

María José Ramírez-Quintana

Carlos Monserrat

Cèsar Ferri

José Hernández-Orallo

2020/6/15

Family and prejudice: A behavioural taxonomy of machine learning techniques

Raül Fabra-Boluda

Cesar Ferri

Fernando Martínez-Plumed

José Hernández-Orallo

M José Ramírez-Quintana

2020

See List of Professors in Cèsar Ferri University(Universidad Politécnica de València)

Co-Authors

H-index: 72
Peter Flach

Peter Flach

University of Bristol

H-index: 50
José Hernández-Orallo

José Hernández-Orallo

Universidad Politécnica de València

H-index: 42
Hendrik Blockeel

Hendrik Blockeel

Katholieke Universiteit Leuven

H-index: 41
Shaomin Wu

Shaomin Wu

University of Kent

H-index: 33
Jan Arne Telle

Jan Arne Telle

Universitetet i Bergen

H-index: 32
Miguel A. Salido

Miguel A. Salido

Universidad Politécnica de València

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