Jenni Raitoharju

Jenni Raitoharju

Assistant Professor
Unit
Faculty of Information Technology
Room number
Email
jenni.k.raitoharju@jyu.fi
Mobile
+358504118800
Postal address
Mattilanniemi 2
Fields of science
113 Computer and information sciences

Research interests

My main research interests lie in developing novel machine learning algorithms. I do both theoretical/methodological application-independent research and applied research (e.g., in environmental studies, autonomous systems, humanities). My research has focused on topics such as deep learning, uncertainty estimation, one-class classification, and statistical machine learning.

Publications

Publication
2024

European Signal Processing Conference
Impiö, Mikko
Raitoharju, Jenni
Publication
2024

European Signal Processing Conference
Raitoharju, Jenni
Publication
2024

IEEE Access
Taipalmaa, Jussi
Raitoharju, Jenni
Queralta, Jorge Peña
Westerlund, Tomi
Gabbouj, Moncef
Publication
2024

Pattern Recognition Letters
Laakom, Firas
Raitoharju, Jenni
Iosifidis, Alexandros
Gabbouj, Moncef
Publication
2023

IEEE Winter Applications and Computer Vision Workshops
Kiefer, Benjamin
Kristan, Matej
Pers, Janez
Zust, Lojze
Poiesi, Fabio
De Alcantara Andrade, Fabio Augusto
Bernardino, Alexandre
Dawkins, Matthew
Raitoharju, Jenni
Quan, Yitong
Atmaca, Adem
Hofer, Timon
Zhang, Qiming
Xu, Yufei
Zhang, Jing
Tao, Dacheng
Sommer, Lars
Spraul, Raphael
Zhao, Hangyue
Zhang, Hongpu
Zhao, Yanyun
Augustin, Jan Lukas
Jeon, Eui-Ik
Lee, Impyeong
Zedda, Luca
Loddo, Andrea
Di Ruberto, Cecilia
Verma, Sagar
Gupta, Siddharth
Muralidhara, Shishir
Hegde, Niharika
Xing, Daitao
Evangeliou, Nikolaos
Tzes, Anthony
Bartl, Vojtech
Spanhel, Jakub
Herout, Adam
Bhowmik, Neelanjan
Breckon, Toby P.
Kundargi, Shivanand
Anvekar, Tejas
Tabib, Ramesh Ashok
Mudengudi, Uma
Vats, Arpita
Song, Yang
Liu, Delong
Li, Yonglin
Li, Shuman
Tan, Chenhao
Lan, Long
Somers, Vladimir
De Vleeschouwer, Christophe
Alahi, Alexandre
Huang, Hsiang-Wei
Yang, Cheng-Yen
Hwang, Jenq-Neng
Kim, Pyong-Kun
Kim, Kwangju
Lee, Kyoungoh
Jiang, Shuai
Li, Haiwen
Ziqiang, Zheng
Vu, Tuan-Anh
Nguyen-Truong, Hai
Yeung, Sai-Kit
Jia, Zhuang
Yang, Sophia
Hsu, Chih-Chung
Hou, Xiu-Yu
Jhang, Yu-An
Yang, Simon
Yang, Mau-Tsuen
Publication
2023

IEEE Access
Rafiei, Mehdi
Raitoharju, Jenni
Iosifidis, Alexandros
Publication
2023

International Conference on Theory and Practice of Digital Libraries
Late, Elina
Ruotsalainen, Hille
Seker, Mert
Raitoharju, Jenni
Männistö, Anssi
Kumpulainen, Sanna
Publication
2023

European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
Laakom, Firas
Raitoharju, Jenni
Iosifidis, Alexandros
Gabbouj, Moncef
Publication
2023

Methods in Ecology and Evolution
de Schaetzen, Frédéric
Impiö, Mikko
Wagner, Basil
Nienaltowski, Patryk
Arnold, Michael
Huber, Martin
Meyer, Matthias
Raitoharju, Jenni
Silva, Luiz G. M.
Stocker, Roman
Publication
2023

AAAI Conference on Artificial Intelligence
Laakom, Firas
Raitoharju, Jenni
Iosifidis, Alexandros
Gabbouj, Moncef

Research groups

Research group

Machine Intelligence Methods and Applications (MIMA)

MIMA group focuses mainly on theoretical/methodological machine intelligence research, while also different applications of machine intelligence are studied.

Projects

Project logo
Project

DNAquaIMG: Innovating transnational aquatic biodiversity monitoring using high-throughput DNA tools and automated image recognition

DNAquaIMG will develop and test an efficient and effective approach to monitor freshwater invertebrates and diatoms with novel DNA and automated image-based biodiversity assessment methods.