Peter Flach

Peter Flach

University of Bristol

H-index: 72

Europe-United Kingdom

About Peter Flach

Peter Flach, With an exceptional h-index of 72 and a recent h-index of 47 (since 2020), a distinguished researcher at University of Bristol, specializes in the field of Artificial Intelligence, Data Science, Machine Learning.

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

Interpretable representations in explainable AI: From theory to practice

Reconciling Training and Evaluation Objectives in Location Agnostic Surrogate Explainers

An active semi-supervised deep learning model for human activity recognition

Classifier calibration: a survey on how to assess and improve predicted class probabilities

Shapley Sets: Feature Attribution via Recursive Function Decomposition

Simply Logical–The First Three Decades

MIDI-Draw: Sketching to Control Melody Generation

Co-designing opportunities for Human-Centred Machine Learning in supporting Type 1 diabetes decision-making

Peter Flach Information

University

Position

Professor of Artificial Intelligence Department of Computer Science

Citations(all)

19290

Citations(since 2020)

8545

Cited By

13472

hIndex(all)

72

hIndex(since 2020)

47

i10Index(all)

171

i10Index(since 2020)

103

Email

University Profile Page

Google Scholar

Peter Flach Skills & Research Interests

Artificial Intelligence

Data Science

Machine Learning

Top articles of Peter Flach

Interpretable representations in explainable AI: From theory to practice

Data Mining and Knowledge Discovery

2024/4/25

Kacper Sokol
Kacper Sokol

H-Index: 8

Peter Flach
Peter Flach

H-Index: 37

Reconciling Training and Evaluation Objectives in Location Agnostic Surrogate Explainers

2023/10/21

An active semi-supervised deep learning model for human activity recognition

Journal of Ambient Intelligence and Humanized Computing

2023/10

Classifier calibration: a survey on how to assess and improve predicted class probabilities

Machine Learning

2023/9

Hao Song
Hao Song

H-Index: 6

Peter Flach
Peter Flach

H-Index: 37

Shapley Sets: Feature Attribution via Recursive Function Decomposition

arXiv preprint arXiv:2307.01777

2023/7/4

Torty Sivill
Torty Sivill

H-Index: 1

Peter Flach
Peter Flach

H-Index: 37

Simply Logical–The First Three Decades

2023/6/17

MIDI-Draw: Sketching to Control Melody Generation

International Society for Music Information Retrieval Conference Late-breaking/Demo

2022/11

Peter Flach
Peter Flach

H-Index: 37

Co-designing opportunities for Human-Centred Machine Learning in supporting Type 1 diabetes decision-making

International Journal of Human-Computer Studies

2023/5/1

Toward Enhanced Clinical Decision Support for Patients Undergoing a Hip or Knee Replacement: Focus Group and Interview Study With Surgeons

JMIR Perioperative Medicine

2023/4/24

Collecting food and drink intake data with voice input: development, usability, and acceptability study

JMIR mHealth and uHealth

2023/3/31

When the Ground Truth is not True: Modelling Human Biases in Temporal Annotations

2023/3/13

Ian Craddock
Ian Craddock

H-Index: 29

Peter Flach
Peter Flach

H-Index: 37

Empirical Evaluation of Predictive Models: A keynote at ECIR 2022

ACM SIGIR Forum

2023/1/27

Peter Flach
Peter Flach

H-Index: 37

Self-Enhancer: A Self-supervised Framework for Low-Supervision, Drifted Data with Significant Missing Values

2022/9/6

Yu Chen
Yu Chen

H-Index: 3

Peter Flach
Peter Flach

H-Index: 37

Understanding Reinforcement Learning Based Localisation as a Probabilistic Inference Algorithm

2022/9/6

Simply Logical--Intelligent Reasoning by Example (Fully Interactive Online Edition)

arXiv preprint arXiv:2208.06823

2022/8/14

Peter Flach
Peter Flach

H-Index: 37

Kacper Sokol
Kacper Sokol

H-Index: 8

“Alexa, I just ate a donut”: A pilot study collecting food and drink intake data with voice input

medRxiv

2022/6/28

Limesegment: Meaningful, realistic time series explanations

2022/5/3

Torty Sivill
Torty Sivill

H-Index: 1

Peter Flach
Peter Flach

H-Index: 37

The weak supervision landscape

2022/3/21

Peter Flach
Peter Flach

H-Index: 37

Continuous Adaptation with Online Meta-Learning for Non-Stationary Target Regression Tasks

Signals

2022/2/3

See List of Professors in Peter Flach University(University of Bristol)

Co-Authors

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