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Milan Pesa

dblp:352/8695 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Planning, search and constraint satisfaction · 77% Image recognition and object detection · 23%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Planning, search and constraint satisfaction
constraint programming
0.712023
Sudoku Assistant - an AI-Powered App to Help Solve Pen-and-Paper Sudokus · AAAI 2023
Computer vision › Image recognition and object detection › character recognition
digit recognition
0.212023
Sudoku Assistant - an AI-Powered App to Help Solve Pen-and-Paper Sudokus · AAAI 2023

Methods — techniques the papers use, named apart from their topics

machine learning · 0.7constraint programming · 0.7
YearPublicationVenuePosition
2023 Sudoku Assistant - an AI-Powered App to Help Solve Pen-and-Paper Sudokus
abstract
The Sudoku Assistant app is an AI assistant that uses a combination of machine learning and constraint programming techniques, to interpret and explain a pen-and-paper Sudoku scanned with a smartphone. Although the demo is about Sudoku, the underlying techniques are equally applicable to other constraint solving problems like timetabling, scheduling, and vehicle routing.
Tias Guns, Emilio Gamba, Maxime Mulamba, Ignace Bleukx, Senne Berden, Milan Pesa
AAAI6