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<!DOCTYPE html>
<html>
<head>
<link rel="stylesheet" href="assets/css/style.css">
<meta name="keywords" content="Christian Igel,publications,neural networks,evolutionary algorithms,evolutionary computation,support vector machines,SVM,SVMs,machine learning">
<title>Christian's Publications</title>
</head>
<body>
<div id="page-wrap">
<div class="sidenav">
<a href="index.html">About</a>
<a href="publications.html">Publications</a>
<a href="downloads.html">Downloads</a>
<a href="https://ai.ku.dk">AI Centre</a>
<a href="https://di.ku.dk/english/research/machine-learning">ML Section</a>
</div>
<div id="inner-page">
<h1>Publications by Christian Igel</h1>
More papers can be downloaded from my <a href="http://scholar.google.dk/citations?user=d-jF4zIAAAAJ&hl=de">Google
scholar profile</a>.
<a name="publications"></a>
<h3>Contributions to journals, books, and conferences</h3>
<h4>Coming soon</h4><a name="top"></a>
<div class=publication>
<img src="images/MinMax.png "
align="right" style="margin: 0px 10px 10px 10px" width="250"
alt="[Min-Max architecture]">
Christian Igel. Smooth Min-Max Monotonic Networks.
<em>International Conference on Machine Learning (ICML)</em>, accepted
</div>
<div class=publication>
Nico Lang, Vésteinn Snæbjarnarson, Elijah Cole, Oisin Mac Aodha,
Christian Igel, and Serge Belongie. From Coarse to Fine-Grained Open-Set
Recognition. <em>Computer Vision and
Pattern Recognition (CVPR)</em>, accepted</div>
<div class=publication>
Bjørn Leth Møller, Christian Igel, Kristoffer Knutsen Wickstrøm, Jon
Sporring, Robert Jenssen, and Bulat Ibragimov. Finding NEM-U: Explaining unsupervised representation learning through neural network generated explanation masks.
<em>International Conference on Machine Learning (ICML)</em>, accepted
</div>
<a name="y24"></a>
<h4>2024</h4>
<div class=publication>
<a href="https://www.nature.com/articles/s43247-024-01278-x"><img
src="https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs43247-024-01278-x/MediaObjects/43247_2024_1278_Fig1_HTML.png?as=webp"
align="right" style="margin: 0px 10px 10px 10px" width="250"
alt="[Rwanda scenarios]"></a>
Martin Brandt, Maurice Mugabowindekwe, Athanase Mukuralinda, Philippe
Ciais, Florian Reiner, Ankit Kariryaa, Christian Igel, Jerome Chave,
Ole Mertz, Pierre Hiernaux, Xiaoye Tong, Gaspard Rwanyiziri, Dimitri
Gominski, Sizhuo Li, Siyu Liu, Ivan Gasangwa, Yves Hategekimana,
Alain Ndoli, Jean Nduwamungu, Sassan Saatchi, and Rasmus
Fensholt. <a
href="https://www.nature.com/articles/s43247-024-01278-x">Trees on
smallholder farms and forest restoration are critical for Rwanda
to achieve net zero emissions</a>. <em>Communications Earth &
Environment</em> <vol>5</vol>:113, 2024
</div>
<div class=publication>
Matthias Freiberger, Peter Kun, Christian Igel, Anders Sundnes Løvlie,
and Sebastian Risi. <a href="https://openreview.net/pdf?id=ZFZnvGXXMm">Fooling Contrastive Language-Image Pre-Trained
Models with CLIPMasterPrints</a>.
<em>Transactions on Machine Learning Research</em>, 2024
</div>
<div class=publication>
Bjørn Leth Møller, Bobby Zhao Sheng Lo, Johan Burisch, Flemming Bendtsen,
Ida Vind, Bulat Ibragimov, and Christian Igel.
<a href="https://doi.org/10.1007/s13218-023-00820-x">Building an AI Support Tool for Real-time Ulcerative Colitis
Diagnosis</a>. <em>Künstliche Intelligenz</em>, 2024
</div>
<div class=publication>
<a href="https://doi.org/10.1016/j.rse.2023.113968"><img src="https://ars.els-cdn.com/content/image/1-s2.0-S0034425723005205-ga1_lrg.jpg"
align="right" style="margin: 0px 10px 10px 10px" width="300"
alt="[biomass from LiDAR]"></a>
Stefan Oehmcke, Lei Li, Jaime Revenga, Thomas Nord-Larsen, Katerina Trepekli, Fabian Gieseke, and Christian Igel. <a href="https://doi.org/10.1016/j.rse.2023.113968">Deep point cloud regression for above-ground forest biomass estimation from airborne LiDAR</a>.
<em>Remote Sensing of Environment</em> <vol>302</vol>, 2024
</div>
<div class=publication>
Pedram Bakhtiarifard, Christian Igel, and Raghavendra Selvan.
<a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10448303">EC-NAS: Energy Consumption Aware Tabular Benchmarks for Neural
Architecture Search</a>. <em>IEEE International Conference on
Acoustics, Speech and Signal Processing (ICASSP)</em>,
pp. 5660-5664, 2024
</div>
<a name="y23"></a>
<h4>2023</h4>
<div class=publication>Patrick Bilic, Patrick Christ, Hongwei Bran Li, Eugene Vorontsov, Avi
Ben-Cohen, Georgios Kaissis, Adi Szeskin, Colin Jacobs, Gabriel
Efrain Humpire Mamani, Gabriel Chartrand, Fabian Lohöfer, Julian
Walter Holch, Wieland Sommer, Felix Hofmann, Alexandre Hostettler,
Naama Lev-Cohain, Michal Drozdzal, Michal Marianne Amitai, Refael
Vivanti, Jacob Sosna, Ivan Ezhov, Anjany Sekuboyina, Fernando
Navarro, Florian Kofler, Johannes C Paetzold, Suprosanna Shit,
Xiaobin Hu, Jana Lipková, Markus Rempfler, Marie Piraud, Jan
Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Hülsemeyer,
Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae,
Míriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B Dam, Qi
Dou, Chi-Wing Fu, Bogdan Georgescu, Xavier Giró-i-Nieto, Felix
Gruen, Xu Han, Pheng-Ann Heng, Jürgen Hesser, Jan Hendrik Moltz,
Christian Igel, Fabian Isensee, Paul Jäger, Fucang Jia, Krishna
Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae-Hun Kim, Sungwoong
Kim, Simon Kohl, Tomasz Konopczynski, Avinash Kori, Ganapathy
Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John
Lowengrub, Jun Ma, Klaus Maier-Hein, Kevis-Kokitsi Maninis, Hans
Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen,
Jordi Pont-Tuset, Jin Qi, Xiaojuan Qi, Oliver Rippel, Karsten Roth,
Ignacio Sarasua, Andrea Schenk, Zengming Shen, Jordi Torres,
Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu,
Daguang Xu, Xiaoping Yang, Simon Chun-Ho Yu, Yading Yuan, Miao Yue,
Liping Zhang, Jorge Cardoso, Spyridon Bakas, Rickmer Braren, Volker
Heinemann, Christopher Pal, An Tang, Samuel Kadoury, Luc Soler, Bram
van Ginneken, Hayit Greenspan, Leo Joskowicz, and Bjoern Menze.
<a href="https://www.sciencedirect.com/science/article/pii/S1361841522003085">The Liver Tumor Segmentation Benchmark (LiTS)</a>. <em>Medical Image
Analysis</em> <vol>84</vol>, 2023</div>
<div class=publication>
Erik B. Dam, Arjun D. Desai, Cem M. Deniz, Haresh R. Rajamohan, Ravinder
Regatte, Claudia Iriondo, Valentina Pedoia, Sharmila Majumdar, Mathias
Perslev, Christian Igel, Akshay Pai, Sibaji Gaj, Mingrui
Yang, Kunio Nakamura, Xiaojuan Li, Hasan Maqbool, Ismail Irmakci,
Sang-Eun Song, Ulas
Bagci, Brian Hargreaves, Garry Gold, and Akshay Chaudhari. <a href="https://doi.org/10.1016/j.ostima.2023.100087 ">Towards Automatic Cartilage Quantification in Clinical Trials –
Continuing from the 2019 IWOAI Knee Segmentation Challenge</a>.
<em>Osteoarthritis Imaging</em> <vol>3</vol>(1):100087, 2023
</div>
<div class=publication>
Jeppe Klok Due, Marianne
Giørtz Pedersen, Sussie Antonsen, Joen Rommedahl, Esben Agerbo, Preben Bo Mortensen, Henrik
Toft Sørensen, Jonas Færch Lotz, Laura Cabello Piqueras, Constanza
Fierro, Antonia Karamolegkou, Christian Igel, Phillip Rust, Anders Søgaard, and Carsten
Bøcker Pedersen.
<a href="https://journals.sagepub.com/doi/10.1177/14034948221147096">Towards more comprehensive nationwide familial aggregation studies in
Denmark: The Danish Civil Registration System versus the lite Danish
Multi-Generation Register</a>. <em>Scandinavian Journal of Public Health</em>, 2023
</div>
<div class=publication>
Pierre Hiernaux,
Bil-Assanou Hassane Issoufou,
Christian Igel,
Ankit Kariryaa,
Moussa Kourouma,
Jérôme Chave,
Eric Mougin, and
Patrice Savadogo. <a href="https://www.sciencedirect.com/science/article/pii/S0378112722006478">Allometric equations to estimate the dry mass of
Sahel woody plants from very-high resolution satellite
imagery</a>. <em>Forest Ecology and Management</em> <vol>529</vol>, 2023</div>
<div class=publication>
Christian Igel and Stefan Oehmcke.
<a href="https://link.springer.com/article/10.1007/s13218-023-00801-0">Remember to correct the bias when using deep learning for regression!</a>
<em>Künstliche Intelligenz</em> <vol>37</vol>:33-40, 2023
</div>
<div class=publication>
Lei Li, Tianfang Zhang, Stefan Oehmcke, Fabian Gieseke, and Christian
Igel. BuildSeg: A General Framework for the Segmentation of
Buildings. <em>Nordic Machine Intelligence</em> <vol>2</vol>:1-4, 2023
</div>
<div class=publication>
Siyu Liu, Martin Brandt, Thomas Nord-Larsen, Jerome Chave, Florian Reiner, Nico Lang, Xiaoye Tong, Philippe Ciais, Christian Igel, Adrian Pascual, Juan Guerra-Hernandez, Sizhuo Li, Maurice Mugabowindekwe, Sassan Saatchi, Yuemin Yue, Zhengchao Chen and Rasmus Fensholt.
<a href="https://www.science.org/doi/abs/10.1126/sciadv.adh4097">The
overlooked contribution of trees outside forests to tree cover and
woody biomass across Europe</a>. <em>Science Advances</em>
<vol>9</vol>(37), 2023
</div>
<div class=publication>
Sizhuo Li, Martin Brandt, Rasmus Fensholt, Ankit Kariryaa, Christian
Igel, Fabian Gieseke, Thomas Nord-Larsen, Stefan Oehmcke, Ask Holm
Carlsen, Samuli Junttila, Xiaoye Tong, Alexandre d’Aspremont, and
Philippe Ciais. <a
href="https://doi.org/10.1093/pnasnexus/pgad076">Deep learning
enables image-based tree counting, crown segmentation and height
prediction at national scale</a>. <em>PNAS Nexus</em> <vol>2</vol>(4), 2023
</div>
<div class=publication>
<a href=https://www.nature.com/articles/s41467-023-37880-4"><img
src="https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41467-023-37880-4/MediaObjects/41467_2023_37880_Fig2_HTML.png?as=webp"
align="right" style="margin: 0px 10px 10px 10px" width="250"
alt="[Africa TOF cover]"></a>
Florian Reiner, Martin Brandt, Xiaoye Tong, David Skole, Ankit Kariryaa, Philippe Ciais,
Andrew Davies, Pierre Hiernaux, Jerome Chave, Maurice Mugabowindekwe, Christian Igel,
Stefan Oehmcke, Fabian Gieseke, Sizhuo Li, Siyu Liu, Sassan S. Saatchi, Peter Boucher,
Jenia Singh, Simon Taugourdeau, Morgane Dendoncker, Xiao-Peng Song, Ole Mertz,
Compton Tucker, and Rasmus Fensholt. <a href="https://www.nature.com/articles/s41467-023-37880-4">More than one quarter of Africa’s tree
cover found outside areas previously classified as forest</a>. <em>Nature
Communications</em> <vol>14</vol>, 2023</div>
<div class=publication>Compton Tucker, Martin Brandt, Pierre Hiernaux, Ankit Kariryaa, Kjeld Rasmussen, and
Jennifer Small, Christian Igel, Florian Reiner, Katherine Melocik, Jesse Meyer, Scott
Sinno, Eric Romero, Erin Glennie, Yasmin Fitts, August Morin, Jorge Pinzon, Devin
McClain, Paul Morin, Claire Porter, Shane Loeffle, Laurent Kergoat, Bil-Assanou Issoufou, Patrice Savadogo, Jean-Pierre Wigneron, Benjamin Poulter, Philippe Ciais, Robert
Kaufmann, Ranga Myneni, Sassan Saatchi, and Rasmus Fensholt. <a
href="https://www.nature.com/articles/s41586-022-05653-6">Sub-continental
scale carbon stocks of individual trees in African
drylands</a>. <em>Nature</em> <vol>615</vol>:80-86, 2023</div>
<div class=publication>
Philip Enevoldsen,
Christian Gundersen,
Nico Lang,
Serge Belongie, and
Christian Igel. <a href="https://arxiv.org/pdf/2311.05006.pdf">Familiarity-Based Open-Set Recognition Under
Adversarial Attacks</a>.
<em>2nd Workshop and Challenges for Out-of-Distribution
Generalization in Computer Vision (OOD-CV)</em>, 2023
</div>
<div class=publication>
Hui Zhang, Ankit Kariryaa, Venkanna Babu Guthula, Christian Igel, and
Stefan Oehmcke. <a href="https://dl.acm.org/doi/pdf/10.1145/3615900">Predicting urban tree cover from incomplete point
labels and limited background information</a>. <em>UrbanAI '23:
Proceedings of the 1st ACM SIGSPATIAL International Workshop on
Advances in Urban-AI</em>, ACM, 2023.
</div>
<div class=publication>
Rasmus Kær Jørgensen, Oliver Brandt, Mareike Hartmann, Xiang Dai, Christian Igel, and
Desmond Elliott. <a href="https://aclanthology.org/2023.findings-eacl.66.pdf">MultiFin: A Dataset for Multilingual Financial
NLP</a>. <em>Findings of the 16th Conference of the European Chapter of the
Association for Computational Linguistics (EACL Findings)</em>, 2023
</div>
<a name="y22"></a>
<h4>2022</h4>
<div class=publication>
Bobby Lo, ZhuoYuan Liu, Flemming Bendtsen, Christian Igel, Ida Vind, and Johan Burisch. <a href="https://journals.lww.com/ajg/Abstract/9900/High_accuracy_in_classifying_endoscopic_severity.434.aspx">High Accuracy in Classifying Endoscopic Severity in Ulcerative Colitis Using Convolutional Neural Networks</a>.
<em>American Journal of Gastroenterology</em> <vol>117</vol>(10):1648-1654, 2022
</div>
<div class=publication>
Abdelrahman Mohamed, Hung-yi Lee, Lasse Borgholt, Jakob D. Havtorn,
Joakim Edin, Christian Igel, Katrin Kirchhoff, Shang-Wen Li, Karen Livescu,
Lars Maaløe, Tara N. Sainath, Shinji Watanabe.
Self-Supervised Speech Representation Learning: A Review.
<em>IEEE Journal of Selected Topics in Signal Processing</em>,
<vol>16</vol>(6):1179–1210, 2022
</div>
<div class=publication>
<a href="https://doi.org/10.1038/s41558-022-01544-w"><img src="https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41558-022-01544-w/MediaObjects/41558_2022_1544_Fig3_HTML.png?as=webp"align="right" style="margin: 0px 10px 10px 10px" width="250"
alt="[Rwanda]"></a>
Maurice Mugabowindekwe, Martin Brandt, Jerome Chave, Florian Reiner,
David Skole, Ankit Kariryaa, Christian Igel, Pierre Hiernaux,
Philippe Ciais, Ole Mertz, Xiaoye Tong, Sizhuo Li, Gaspard
Rwanyiziri, Thaulin Dushimiyimana, Alain Ndoli, Valens Uwizeyimana,
Jens-Peter Lillesø, Fabian Gieseke, Compton Tucker, Sassan
S. Saatchi, and Rasmus Fensholt. <a href="https://doi.org/10.1038/s41558-022-01544-w">Nation-wide mapping of tree-level aboveground carbon stocks in Rwanda</a>. <em>Nature Climate Change</em> <vol>13</vol>:91-97, 2022
</div>
<div class=publication>
Mathias Perslev, Akshay Pai, Jon Runhaar, Christian
Igel, and Erik B. Dam. <a href="https://doi.org/10.1002/jmri.27978">Cross-Cohort Automatic Knee MRI Segmentation with
Multi-Planar U-Nets</a>. <em>Journal of Magnetic Resonance
Imaging</em> <vol>55</vol>(6):1650-1663, 2022
</div>
<div class=publication>
Jaime Caballer Revenga, Katerina Trepekli, Stefan Oehmcke, Rasmus
Jensen, Lei Li, Christian Igel, Fabian Cristian Gieseke, Thomas Friborg.
<a href="https://www.mdpi.com/2072-4292/14/16/3912">Aboveground biomass prediction in croplands at sub-meter resolution
based on UAV-LiDAR and machine learning methods</a>.
<em>Remote Sensing</em> <vol>14</vol>(16):3912, 2022
</div>
<div class=publication> Lasse Borgholt, Jakob D. Havtorn, Joakim Edin, Lars
Maaløe, and Christian Igel. <a href="https://aaai-sas-2022.github.io/static/media/A_Brief_Overview_of_Unsupervised_Neural_Speech_Representation_Learning__AAAI_SAS_.b293cc96.pdf">A Brief Overview of Unsupervised Neural Speech Representation Learning</a>. <em>The 2nd Workshop on Self-supervised Learning for Audio
and Speech Processing (AAAI-SAS-2022)</em>, 2022
</div>
<div class=publication>
Pengfei Diao, Akshay Pai, Christian Igel, and
Christian Hedeager Krag.
Histogram-based unsupervised domain adaptation for medical image
classification.
In
L. Wang, Q. Dou, P. T. Fletcher,
S. Speidel, and S. Li, eds.:
<em>Medical Image Computing and Computer Assisted
Intervention (MICCAI)</em>, pp. 755–764, LNCS <vol>13437</vol>,
Springer, 2022
</div>
<div class=publication>Constanza Fierro, Laura Cabello Piqueras, Jonas
Lotz, Philip Rust, Joen Rommedahl, Jeppe Klok Due, Christian Igel,
Desmond Elliott, Carsten Bøcker Pedersen, Israfel Salazar and Anders
Søgaard.
Date Recognition in Historical Parish Records.
<em>International Conference on Frontiers in Handwriting Recognition
(ICFHR)</em>, pp. 49–64, LNCS <vol>13639</vol>,
Springer, 2022
</div>
<div class=publication>
Thorben Hellweg, Stefan Oehmcke, Ankit Kariryaa, Fabian Gieseke, and Christian Igel.
Ensemble Learning for Semantic Segmentation of Ancient Maya
Architectures. In D. Kocev, N. Simidjievski, A. Kostovska,
I. Dimitrovski, and Žiga Kokalj, eds.: <em>Discover the Mysteries of
the Maya</em>, pp. 13–19. Jožef Stefan Institute, Jamova cesta 39, 1000
Ljubljana, Slovenia, 2022
</div>
<div class=publication>
Rasmus Kær Jørgensen, Fiammetta Caccavale, Christian Igel, and Anders
Søgaard. Are Multilingual Sentiment Models Equally Right for the Right
Reasons?
<em>BlackboxNLP</em> Workshop at EMNLP 2022, 2022
</div>
<div class=publication>
Stephan Sloth Lorenzen, Christian Igel, and Mads Nielsen.
<a href="https://openreview.net/forum?id=kF9DZQQrU0w">Information Bottleneck: Exact Analysis of (Quantized) Neural
Networks</a>. In: <em>International Conference on Learning Representations
(ICLR)</em>, 2022
</div>
<div class=publication>Stefan Oehmcke, Lei Li, Jaime Revenga, Thomas
Nord-Larsen, Katerina Trepekli, Fabian Gieseke, Christian Igel. <a href="https://dl.acm.org/doi/pdf/10.1145/3557915.3561471">Deep Learning Based 3D Point Cloud Regression for Estimating Forest Biomass</a>.
In: <em>International Conference on Advances in
Geographic Information Systems (ACM SIGSPATIAL)</em>, ACM, 2022
</div>
<div class=publication>Tianfang Zhang, Lei Li, Christian Igel, Stefan
Oehmcke, Fabian Gieseke, and Zhenming Peng. LR-CSNet: Low-Rank Deep
Unfolding Network for Image Compressive Sensing.
In: <em>IEEE International Conference on Computer and Communications (ICCC)</em>, IEEE, 2022
</div>
<a name="y21"></a>
<h4>2021</h4>
<div class=publication>
Arjun D. Desai, Francesco Caliva, Claudia Iriondo, Naji Khosravan,
Aliasghar Mortazi, Sachin Jambawalikar, Drew Torigian, Jutta Ellerman,
Mehmet Akcakaya, Ulas Bagci, Radhika Tibrewala, Io Flament, Matthew
O'Brien, Sharmila Majumdar, Mathias Perslev, Akshay Pai, Christian
Igel, Erik B. Dam, Sibaji Gaj, Mingrui Yang, Kunio Nakamura, Xiaojuan
Li, Cem M. Deniz, Vladimir Juras, Ravinder Regatte, Garry E. Gold, Brian
A Hargreaves, Valentina Pedoia, and Akshay S. Chaudhari.
<a href="https://arxiv.org/abs/2004.14003">The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset</a>.
<em>Radiology: Artificial Intelligence</em> <vol>3</vol>:e200078, 2021
</div>
<div class=publication>Espen Jimenez-Solem, Tonny S. Petersen, Casper Hansen, Christian
Hansen, Christina Lioma, Christian Igel,
Wouter Boomsma, Oswin Krause, Stephan Lorenzen,
Raghavendra Selvan, Janne Petersen, Martin Erik Nyeland, Mikkel Zöllner Ankarfeldt, Gert Mehl Virenfeldt, Matilde WintherJensen, Allan Linneberg, Mostafa Mediphour Ghazi,
Nicki Detlefsen, Andreas Lauritzen, Abraham George Smith, Marleen de Bruijne, Bulat Ibragimov, Jens Petersen, Martin Lillholm, Jon Middleton, Stine Hasling Mogensen, Hans-Christian Thorsen-Meyer, Anders Perner, Marie Helleberg, Benjamin Skov Kaas-Hansen, Mikkel Bonde, Alexander Bonde,
Akshay Pai, Mads Nielsen, and Martin
Sillesen. <a href="https://www.nature.com/articles/s41598-021-81844-x">Developing and Validating COVID-19 Adverse Outcome Risk
Prediction Models From a Bi-national European Cohort of 5594
Patients</a>. <em>Scientific Reports</em> <vol>11</vol>, 3246, 2021</div>
<div class=publication>
Rasmus Kær Jørgensen and Christian Igel.
Machine learning for financial transaction classification across
companies using character-level word embeddings of text fields.
<em>Intelligent Systems in Accounting, Finance and Management</em>
<vol>28</vol>(3), pp. 159-172, 2021</div>
<div class=publication>
<a href="https://sleep.ai.ku.dk"><img src="images/USleepHead.png" align="right" style="margin: 0px 10px 10px 10px" width="250" alt="[U-Sleep]"></a>
Mathias Perslev,
Sune Darkner,
Lykke Kempfner,
Miki Nikolic,
Poul Jørgen Jennum, and
Christian Igel.
<a href="https://rdcu.be/ciJT0">U-Sleep: Resilient High-Frequency Sleep Staging</a>.
<em>npj Digital Medicine</em> <vol>4</vol>, 2021
</div>
<div class=publication>Stephan Sloth Lorenzen, Mads Nielsen, Espen Jimenez-Solem, Tonny
Studsgaard Petersen, Anders Perner, Hans-Christian Thorsen-Meyer,
Christian Igel, and Martin Sillesen. <a href="https://rdcu.be/cyiDe">Using Machine Learing for
Predicting Intensive Care Unit Resource Use During the Covid-19
Pandemic in Denmark</a>. <em>Scientific Reports</em> <vol>11</vol>:18959, 2021</div>
<div class=publication>Christian Igel. <a href="https://rdcu.be/ctTGa">Data, Knowledge, and
Computation</a>. <em>Künstliche Intelligenz</em>,
2021 (editorial)</div>
<div class=publication>
Lasse Borgholt, Tycho M. S. Tax, Jakob D. Havtorn, Lars Maaløe,
Christian Igel. <a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9414310">On scaling contrastive representations for low
resource speech recognition</a>. <em>IEEE International Conference on
Acoustics, Speech and Signal Processing (ICASSP)</em>,
pp. 3885-3889, 2021
<a href="http://128.84.21.203/abs/2102.00850"
class="sup">preprint</a>
</div>
<div class=publication>Kai Brügge, Asja Fischer, and Christian Igel.
<a href='http://proceedings.mlr.press/v130/brugge21a/brugge21a.pdf'>On the convergence of the Metropolis algorithm with fixed-order updates for multivariate binary probability distributions</a>. <em>International Conference on
Artificial Intelligence and Statistics (AISTATS), Proceedings of Machine Learning Research</em>
<vol>130</vol>, pp. 469-477, 2021
</div>
<div class=publication>
Yi-Shan Wu, Andrés R. Masegosa, Stephan S. Lorenzen, Christian Igel, and Yevgeny Seldin.
<a href="https://arxiv.org/abs/2106.13624">Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote</a>.
<em>Advances in Neural Information Processing Systems
(NeurIPS)</em>, 2021
</div>
<a name="y20"></a>
<h4>2020</h4>
<div class=publication><iframe title="Counting trees in Africa
with computer science"
src="https://video.ku.dk/v.ihtml/player.html?token=a75e0b5867a814609abeffc40f5f0435&source=embed&photo%5fid=68945117"
align="right" style="margin: 0px 0px 10px 10px" width="275" allowfullscreen="1" allow="fullscreen">
<p>Your browser does not support frames, therefore the video is
not playing.</p></iframe>Martin Brandt, Compton J. Tucker, Ankit Kariryaa, Kjeld Rasmussen,
Christin Abel, Jennifer Small, Jerome Chave, Laura Vang Rasmussen,
Pierre Hiernaux, Abdoul Aziz Diouf, Laurent Kergoat, Ole Mertz,
Christian Igel, Fabian Gieseke, Johannes Schöning, Sizhuo Li,
Katherine Melocik, Jesse Meyer, Scott Sinno, Eric Romero, Erin
Glennie, Amandine Montagu, Morgane Dendoncker, and Rasmus
Fensholt. <a href="https://www.nature.com/articles/s41586-020-2824-5">An unexpectedly large count of trees in the western Sahara
and Sahel</a>. <em>Nature</em>, 2020 <a
href="https://www.nature.com/articles/d41586-020-02830-3"
class="sup">popular science summary</a>
</div>
<div class=publication>
Oswin Krause, Asja Fischer, and Christian Igel.
<a href="https://doi.org/10.1016/j.artint.2019.103195">Algorithms for Estimating the Partition Function of Restricted Boltzmann Machines</a>.
<em>Artificial Intelligence</em> <vol>278</vol>, 2020
</div>
<div class=publication>
Lasse Borgholt, Jakob Drachmann Havtorn, Željko Agić, Anders Søgaard, Lars Maaløe, and Christian Igel.
<a href="http://www.interspeech2020.org/index.php?m=content&c=index&a=show&catid=356&id=1194">Do End-to-End Speech Recognition Models Care About Context?</a>
<em>Interspeech 2020</em>, 2020
</div>
<div class=publication>
Steffen Czolbe, Oswin Krause, Ingemar Cox, and Christian Igel.
<a href="https://arxiv.org/abs/2006.15057">A Loss Function for Generative Neural Networks Based on Watson's Perceptual Model</a>.
<em>Advances in Neural Information Processing Systems
(NeurIPS)</em>, 2020
<a href="https://github.com/SteffenCzolbe/PerceptualSimilarity"
class="sup">source code</a>
<a href="https://www.youtube.com/watch?v=qPmHQbR4DeI&feature=youtu.be" class="sup">video</a>
</div>
<div class=publication>
Ürün Dogan, Aniket Anand Deshmukh, Marcin Machura, and Christian Igel.
<a href="https://arxiv.org/abs/1911.06902">Label-similarity Curriculum Learning</a>. <em>European Conference
on Computer Vision (ECCV)</em>, LNCS <vol>12374</vol>,
pp. 174-190, Springer-Verlag, 2020
</div>
<div class=publication>
Oswin Krause, Asja Fischer, and Christian Igel.
<a href="https://doi.org/10.24963/ijcai.2020/704">Algorithms for
Estimating the Partition Function of Restricted Boltzmann Machines (Extended Abstract)</a>.
<em>International Joint Conferences on Artificial Intelligence
(IJCAI)</em>, pp. 5045-5049, 2020
</div>
<div class=publication>
<a href="https://arxiv.org/abs/2007.13532"><img
src="images/TandemThumbSmall.png" align="right" style="vertical-align:bottom"
style="margin: 0px 10px 10px 10px" width="200" alt="[Tandem loss]"></a>
Andrés R. Masegosa, Stephan S. Lorenzen, Christian Igel, and Yevgeny Seldin.
<a href="https://arxiv.org/abs/2007.13532">Second Order PAC-Bayesian Bounds for the Weighted Majority Vote</a>.
<em>Advances in Neural Information Processing Systems
(NeurIPS)</em>, 2020
</div>
<a name="y19"></a>
<h4>2019</h4>
<div class=publication>
Stephan S. Lorenzen, Christian Igel, and Yevgeny Seldin.
<a href="https://arxiv.org/abs/1810.09746">On PAC-Bayesian Bounds for
Random Forests</a>. <em>Machine Learning</em> <vol>108</vol>(8-9), pp. 1503–1522, 2019
</div>
<div class=publication>
Saeed Shakibfar, Oswin Krause, Casper Lund-Andersen, Filip Strycko, Jonas Moll, Tariq Osman Andersen, Helen Høgh Petersen, Jesper Hastrup Svendsen, and
Christian Igel.
<a href="https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0219533">Impact of device programming on the success of the first
anti-tachycardia pacing therapy: An anonymized large-scale study</a>.
<em>PLOS ONE</em> <vol>14</vol>(8):
e0219533, 2019
</div>
<div class=publication>
Saeed Shakibfar,
Oswin Krause,
Casper Lund-Andersen,
Alfonso Aranda Hernandez,
Jonas Moll,
Tariq Osman Andersen,
Jesper Hastrup Svendsen,
Helen Høgh Petersen, and
Christian Igel.
<a href="https://doi.org/10.1093/europace/euy257">Predicting Electrical Storms by Remote Monitoring of Implantable
Cardioverter Defibrillator Patients Using Machine Learning</a>.
<em>EP Europace</em> <vol>21</vol>(2), pp. 268-274, 2019
</div>
<div class=publication>
<a href="http://www.fabiangieseke.de">Fabian Gieseke</a>, Cosmin Eugen Oancea, Ashish Mahabal, Christian
Igel, and Tom Heskes. Bigger Buffer k-d Trees
on Multi-Many-Core Systems.
In: Senger H. et al., eds.:
<em>High Performance Computing for Computational Science (VECPAR 2018)</em>,
LNCS <vol>11333</vol>,
pp. 202-214,Springer-Verlag, 2019 <a href="https://bufferkdtree.readthedocs.io" class="sup">source code</a>
</div>
<div class=publication>
Thorbjørn Louring Koch, Mathias Perslev, Christian Igel, and Sami Sebastian Brandt.
Accurate Segmentation of Dental Panoramic Radiographs with U-Nets.
In: <em>IEEE International Symposium on Biomedical Imaging
(ISBI)</em>, pp. 15-19, IEEE Press, 2019
</div>
<div class=publication>
Mauricio Orbes-Arteaga, Jorge Cardoso, Lauge Sørensen, Christian Igel,
Sebastien Ourselin, Marc Modat, Mads Nielsen, and Akshay Pai.
<a href="https://arxiv.org/abs/1908.07355">Knowledge distillation
for semi-supervised domain adaptation</a>.
In:
<em>Machine Learning in Clinical Neuroimaging (MLCN 2019)</em>, LNCS
<vol>11796</vol>, pp. 68-76, 2019
</div>
<div class=publication>
Mauricio Orbes-Arteaga, Lauge Sørensen, Jorge Cardoso, Marc Modat,
Sebastien Ourselin, Stefan Sommer, Mads Nielsen, Christian Igel, and
Akshay Pai.
PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image
Transformation.
In: <em>Medical Imaging 2019: Image Processing</em>, Proceedings
of SPIE <vol>10949</vol>, SPIE, 2019
</div>
<div class=publication>
Mathias Perslev,
Michael Hejselbak Jensen,
Sune Darkner,
Poul Jørgen Jennum, and
Christian Igel.
<a href="https://arxiv.org/abs/1910.11162">U-Time: A Fully Convolutional Network for Time Series Segmentation
Applied to Sleep Staging</a>.
<em>Advances in Neural Information Processing Systems
(NeurIPS 2019)</em>, pp. 4417-4428, 2019
<a href="downloads.html#utime" class="sup">source code</a>
</div>
<div class=publication>
<!-- <iframe title="MP-UNet" alt="[MP-UNet]"
src="images/multi_view_2.mp4"
align="right" style="margin: 0px 0px 10px 10px" width="275"
allowfullscreen="1" allow="fullscreen">
<p>Your browser does not support frames, therefore the video is
not playing.</p></iframe> -->
Mathias Perslev,
Erik Dam,
Akshay Pai, and
Christian Igel.
<a href="https://arxiv.org/abs/1911.01764">One Network To Segment Them All: A General, Lightweight System for
Accurate 3D Medical Image Segmentation</a>. In:
<em>Medical Image Computing and Computer Assisted
Intervention (MICCAI)</em>, LNCS <vol>11765</vol>, pp. 30-38, Springer, 2019 <a href="downloads.html#mpunet" class="sup">source code</a>
</div>
<a name="y18"></a>
<h4>2018</h4>
<div class=publication>
Oswin Krause, Asja Fischer and Christian Igel.
Population-Contrastive-Divergence: Does Consistency help with RBM training?
<em>Pattern Recognition Letters</em> <vol>102</vol>, pp. 1-7, 2018
</div>
<div class=publication>
Dídac R. Arbonès,
Nataliia Y. Sergiienko,
Boyin Ding, Oswin Krause, Christian Igel
and Markus Wagner.
Sparse Incomplete LU-decomposition for Wave Farm Designs under Realistic Conditions.
<em>Parallel Problem Solving from Nature (PPSN)</em>, LNCS, Springer-Verlag,
2018
</div>
<div class=publication>
Ciprian Florescu and Christian Igel.
<a href="https://openreview.net/pdf?id=r1R0o7yDz">Resilient Backpropagation (Rprop) for Batch-learning in TensorFlow</a>.
<!-- <a href="paper/RpropTF.pdf">Resilient Backpropagation (Rprop) for Batch-learning in TensorFlow</a>.
<a href="https://openreview.net/forum?id=r1R0o7yDz"> --->
<em>6th International Conference on Learning Representations
Workshop Track (ICLR 2018 Workshop Track)</em> 2018
</div>
<div class=publication>
<!-- <iframe title="Woody movie" alt="[Woody movie]"
src="images/KDD2018_fabian_gieseke_christian_igel.mp4&mute=1"
align="right" style="margin: 0px 0px 10px 10px" width="275" allowfullscreen="1" allow="fullscreen">
<p>Your browser does not support frames, therefore the video is
not playing.</p></iframe> -->
Fabian Gieseke and Christian Igel.
<a href="https://dl.acm.org/citation.cfm?doid=3219819.3220124">Training Big Random Forests with Little Resources</a>.
<em>ACM SIGKDD Conference on Knowledge Discovery and Data Mining
(KDD)</em>, pp. 1445-1454, ACM Press, 2018 <a href="https://github.com/gieseke/woody" class="sup">source code</a>
</div>
<div class=publication>
Jan Kremer, Fei Sha, and Christian Igel. <a href="http://proceedings.mlr.press/v84/kremer18a/kremer18a.pdf">Robust Active Label Correction</a>. <em>International Conference on
Artificial Intelligence and Statistics (AISTATS), Proceedings of Machine Learning Research</em>
<vol>84</vol>, 2018
</div>
<div class=publication>
Fabian Gieseke, Kai Polsterer, Ashish Mahabal, Christian Igel, and Tom <!-- -->
Heskes. Massively-Parallel Best Subset Selection for Ordinary Least-Squares Regression. <em>IEEE Symposium Series on
Computational Intelligence (SSCI 2017)</em>, IEEE Press, 2018
</div>
<div class=publication>
Mathias Perslev, Akshay Pai, Christian Igel, and Erik Dam. Knee
Segmentation by Multiplanar Deep Learning Network – with data from
OAI.
<em>International Workshop on Osteoarthritis Imaging</em>, 2018
</div>
<a name="y17"></a>
<h4>2017</h4>
<div class=publication><a href="https://bufferkdtree.readthedocs.io"><img alt="[bufferkdtree]"
style="margin: 0px 10px 20px 10px" width="200" align=right src="https://bufferkdtree.readthedocs.io/en/stable/_images/bufferkdtree.png" border=0></a>
<a href="https://www.fabiangieseke.de">Fabian Gieseke</a>, Cosmin Oancea, and Christian Igel.
bufferkdtree: A Python Library for Massive Nearest Neighbor Queries on Multi-Many-Core Devices.
<em>Knowledge-Based Systems</em> <vol>120</vol>, pp. 1-3, 2017 <a href="https://bufferkdtree.readthedocs.io" class="sup">source code</a>
</div>
<div class=publication>
Jan Kremer, Kristoffer Stensbo-Smidt, <a href="http://www.fabiangieseke.de">Fabian Gieseke</a>, Kim
Steenstrup Pedersen, and Christian Igel.
<a href="paper/BUBDMLaIAfA.pdf">Big Universe, Big Data: Machine Learning and Image Analysis for Astronomy</a>.
<em>IEEE Intelligent Systems</em> <vol>32</vol>(2), pp. 16-22, 2017
</div>
<div class=publication>Marc Schlipsing, Jan Salmen, Marc Philipp Tschentscher, and Christian
Igel. Adaptive Pattern Recognition in Real-time Video-based Soccer Analysis.
<em>Journal of Real-Time Image Processing</em> <vol>13</vol>(2), pp. 345-361, 2017</div>
<div class=publication>
Lauge Sørensen, Christian Igel, Akshay Pai, Ioana Balas, Cecilie
Anker, Martin Lillholm, and Mads Nielsen.
<a href="paper/DDoMCIaADUSMRICTHSHTaV.pdf">Differential diagnosis of mild cognitive impairment and Alzheimer's disease using structural MRI cortical thickness, hippocampal shape, hippocampal texture, and volumetry</a>.
<em>NeuroImage: Clinical</em> <vol>13</vol>, pp. 470-482, 2017
</div>
<div class=publication>
Akshay Pai, Yuan-Ching Teng, Joseph Blair, Michiel Kallenberg, Erik
B. Dam, Stefan Sommer, Christian Igel, and Mads Nielsen.
<a href="paper/CoEiDL-bBMRIS.pdf">Characterisation of errors in deep
learning-based brain MRI segmentation</a>. In S. K. Zhou, H. Greenspan, and
D. Shen, eds.: <em>Deep Learning for Medical
Image Analysis</em>, Chapter 10, pp. 223–242, Academic Press, 2017
</div>
<div class=publication>Oswin Krause, Christian Igel, and Tobias Glasmachers.
<a href="paper/QaQAoSSAR.pdf">Qualitative and Quantitative Assessment of Step Size Adaptation Rules</a>.
<em>Foundations of Genetic Algorithms (FOGA 2017)</em>, pp. 139-148, ACM Press,
2017</div>
<div class=publication>
Niklas Thiemann, Christian Igel, Olivier Wintenberger, and Yevgeny Seldin.
<a href="http://proceedings.mlr.press/v76/thiemann17a/thiemann17a.pdf">A Strongly Quasiconvex PAC-Bayesian Bound</a>.
In S. Hanneke and L. Reyzin, eds.: <em>Algorithmic Learning
Theory (ALT), Proceedings of Machine Learning Research</em>
<vol>76</vol>, pp.
466-492, 2017
</div>
<a name="y16"></a>
<h4>2016</h4>
<div class=publication>
Ürün Dogan, <a href="http://www.ini.rub.de/PEOPLE/glasmtbl/">Tobias Glasmachers</a>, and Christian Igel.
<a href="http://www.jmlr.org/papers/v17/11-229.html">A Unified View on Multi-class Support Vector
Classification</a>.
<em>Journal of Machine Learning Research</em> <vol>17</vol>(45),
pp. 1-32, 2016
</div>
<div class=publication>
Michiel Kallenberg, Kersten Petersen, Mads Nielsen, Andrew Y. Ng, Pengfei Diao, Christian Igel, Celine M. Vachon, Katharina Holland, Rikke Rass Winkel, Nico Karssemeijer, and Martin Lillholm.
<a href="paper/UDLAtBDSaMRS.pdf">Unsupervised deep learning applied to breast density segmentation and mammographic risk scoring</a>.
<em>IEEE Transactions on Medical Imaging</em> <vol>35</vol>(5), pp. 1322-1331, 2016
</div>
<div class=publication>
Kristoffer Stensbo-Smidt, <a href="http://www.fabiangieseke.de">Fabian Gieseke</a>, Christian Igel, Andrew
Zirm, and
Kim Steenstrup Pedersen.
Sacrificing Information for the Greater Good: How to Select
Photometric Bands for Optimal Accuracy.
<em>Monthly Notices of the Royal Astronomical Society</em>
<vol>464</vol>(3), pp.
2577-2596, 2016
</div>
<div class=publication>
Lauge Sørensen, Christian Igel, Naja Liv Hansen, Merete Osler, Martin
Lauritzen, Egill Rostrup, and Mads Nielsen.
<a href="paper/EDoADuMRIHT.pdf">Early detection of Alzheimer’s disease using MRI hippocampal texture</a>.
<em>Human Brain Mapping</em> <vol>37</vol>,
pp. 1148-1161, 2016
</div>
<div class=publication>
Lars Lau Raket, Britta Grimme, Gregor Schöner, Christian Igel,
and Bo Markussen.
<a href ="http://dx.doi.org/10.1371/journal.pcbi.1005092">Separating timing, movement conditions and individual differences in
the analysis of human movement</a>. <em>PLoS Computational
Biology</em> <vol>12</vol>(9), 2016
</div>
<div class=publication>
Matthias Tuma, Valdemar Rørbech, Mark
Prior, and Christian Igel. <a href="paper/IOoLUSDFEaCfNTM.pdf">Integrated optimization of long-range underwater signal detection, feature extraction, and classification for nuclear treaty monitoring</a>.
<em>IEEE Transactions on Geoscience and Remote Sensing</em>
<vol>54</vol>(6), pp. 3649-3659, 2016
</div>
<div class=publication>
Christian Igel. Evolutionary kernel learning. <em>Encyclopedia of Machine Learning and Data Mining</em>, Springer, 2016
</div>
<div class=publication>
Michiel Kallenberg, Mads Nielsen, Nico Karssemeijer, Christian Igel, and Martin Lillholm.
Learning Density Independent Texture Features. In A. Tingberg,
K. Lång, and
P. Timberg, eds.:
<em>Breast Imaging</em>, LNCS <vol>9699</vol>,
pp. 299-306, Springer-Verlag, 2016
</div>
<div class=publication><img src="images/CMA_cartoon.gif" align="right" style="margin: 0px 10px 10px 10px" width="100" alt="[CMA-ES]">
Oswin Krause, Dídac R. Arbonès, and Christian Igel.
<a href="paper/CMA-ESwOCUaSC.pdf">CMA-ES with Optimal Covariance Update and Storage Complexity</a>.
<em>Advances in Neural Information Processing Systems (NIPS)</em>,
<a href="paper/CMA-ESwOCUaSCSuppl.pdf" class="sup">supplement</a>, 2016
</div>
<div class=publication>
Oswin Krause, Tobias Glasmachers, and Christian Igel.
Multi-objective Optimization with Unbounded Solution Sets.
<em>NIPS Workshop on Bayesian Optimization (BayesOpt 2016)</em>,
<a href="paper/M-oOwUSS-submission.pdf" class="sup">submission</a>, 2016
</div>
<div class=publication>
Oswin Krause, Tobias Glasmachers, Nikolaus Hansen, and Christian Igel. <a href="paper/UPMO-CMA-ESftBOBBOBTS.pdf">Unbounded
population MO-CMA-ES for the bi-objective BBOB test suite</a>. In
<em>Companion of the Eighteens International Conference on Genetic and
Evolutionary Computation (GECCO 2016): BBOB-2016 Workshop</em>,
2016, pp. 1177-1184, ACM, 2016</div>
<div class=publication>
Kai Lars Polsterer, <a href="http://www.fabiangieseke.de">Fabian Gieseke</a>,
Christian Igel, Bernd Doser, and Nikos Gianniotis.
Parallelized rotation and flipping INvariant Kohonen maps (PINK) on
GPUs.
<em>24th European Symposium on Artificial Neural
Networks, Computational Intelligence
and Machine Learning (ESANN 2016)</em>, pp. 405-410, Belgium: i6doc.com, 2016
</div>
<a name="y15"></a>
<h4>2015</h4>
<div class=publication>Asja Fischer and Christian Igel. <a href="paper/ABftCRoPTfSRBM.pdf">A Bound for
the Convergence Rate of Parallel Tempering for Sampling Restricted
Boltzmann Machines</a>. <em>Theoretical Computer Science</em> <vol>598</vol>,
pp. 102–117, 2015</div>
<div class=publication>Jan Kremer, <a href="http://www.fabiangieseke.de">Fabian Gieseke</a>, Kim Steenstrup
Pedersen, and Christian Igel. <a href="paper/NNDREfLSAiA.pdf">Nearest Neighbor Density
Ratio Estimation for Large-Scale Applications in
Astronomy</a>. <em>Astronomy and Computing</em> <vol>12</vol>,
pp. 67-72, 2015 <a href="https://github.com/kremerj/nnratio" class="sup">source code</a></div>
<div class=publication>Søren Frejstrup Maibing and Christian Igel.
<a href="http://jmlr.org/proceedings/papers/v38/frejstrupmaibing15.pdf">Computational Complexity of Linear Large Margin Classification With Ramp Loss</a>.
<em>JMLR W&CP</em> <vol>38</vol> (AISTATS), pp. 259-267, 2015</div>
<div class=publication>Kai Lars Polsterer, <a href="http://www.fabiangieseke.de">Fabian Gieseke</a>, and
Christian Igel. Automatic classification of galaxies via machine
learning techniques: Parallelized Rotation/Flipping INvariant Kohonen Maps (PINK). In A. R. Taylor and E. Rosolowsky, eds.: <em>Astronomical Data Analysis Software and
Systems (ADASS XXVI)</em>, pp. 81-86. Astronomical Society of the Pacific, ASP Conference Series <vol>495</vol>, 2015 <em>Best Poster Award</em> </div>
<div class=publication>Nicolae-Bogdan Şara, Rasmus Halland,
Christian Igel, and Stephen Alstrup. <a href="https://www.esann.org/sites/default/files/proceedings/legacy/es2015-86.pdf">High-school dropout prediction using machine learning: A Danish large-scale study</a>. In M. Verleysen, ed.: <em>23th European Symposium on Artificial Neural Networks</em> (ESANN 2015). i6doc.com, 2015 </div>
<div class=publication>Oswin Krause and Christian Igel.
<a href="paper/AMERCMAUfES.pdf">A More Efficient Rank-one Covariance Matrix Update for Evolution
Strategies</a>.
In J. He, T. Jansen, G. Ochoa, and C. Zarges, eds.: <em>Foundations of Genetic Algorithms (FOGA 2015)</em>, pp. 129-136, ACM Press,
2015</div>
<div class=publication>
Oswin Krause, Asja Fischer and Christian Igel.
Population Monte Carlo Meets Contrastive Divergence Learning.
In B. Hammer and M. Martinetz and T. Villmann, eds.: <em>New Challenges in Neural Computation</em> (NC<sup>2</sup>),
Machine Learning Reports 03/2015, pp. 93-94, 2015
</div>
<a name="y14"></a>
<h4>2014</h4>
<div class=publication>Asja Fischer and Christian Igel.
<a href="paper/TRBMAI.pdf">Training Restricted Boltzmann
Machines: An Introduction</a>.
<em>Pattern
Recognition</em> <vol>47</vol>, pp. 25-39, 2014
</div>
<div class=publication>
Jan Kremer, Kim Steenstrup Pedersen, and Christian Igel.
<a href="http://image.diku.dk/jank/papers/WIREs2014.pdf">
Active Learning with Support Vector Machines</a>.
<em>WIREs Data Mining and Knowledge Discovery</em> <vol>4</vol>(4), pp. 313-326, 2014</div>
<div class=publication>Fabian Gieseke,
Justin Heinermann,
Cosmin Oancea, and
Christian Igel. <a href="http://jmlr.org/proceedings/papers/v32/gieseke14.pdf">Buffer k-d Trees: Processing Massive Nearest Neighbor
Queries on GPUs</a>.
<em>JMLR W&CP</em> <vol>32</vol> (ICML), pp. 172-180, 2014 <a href="http://bufferkdtree.readthedocs.io" class="sup">source code</a></div>
<div class=publication> Christian Igel. <a href="paper/NFLTLaPoM.pdf">No Free Lunch Theorems: Limitations and Perspectives of Metaheuristics</a>. In Y. Borenstein and A. Moraglio, eds.: <em>Theory
and Principled Methods for the Design of Metaheuristics</em>, pp. 1-23,
Springer-Verlag, 2014 </div>
<div class=publication>Dídac R. Arbonès, Henrik G. Jensen, Annika Loft, Per Munck af Rosenschöld, Anders Elias Hansen, Christian Igel, and Sune Darkner</a>. Automatic FDG-PET-based tumor and metastatic lymph node segmentation in cervical cancer. In: <em>Proc. SPIE 9034,
Medical Imaging 2014: Image Processing</em>, 903441, 2014</div>
<div class=publication>Fabian Gieseke,
Kai Lars Polsterer,
Cosmin E. Oancea, and
Christian Igel.
Speedy Greedy Feature Selection: Better Redshift Estimation via Massive Parallism. In M. Verleysen, ed.:
<em>22th European Symposium on Artificial Neural
Networks, Computational Intelligence
and Machine Learning (ESANN 2014)</em>, pp. 87-92, Belgium: i6doc.com, 2014
</div>
<div class=publication>Kai Lars Polsterer, <a href="http://www.fabiangieseke.de">Fabian Gieseke</a>, Christian Igel, and Tomotsugu Goto.
Improving the Performance of Photometric Regression Models via Massive Parallel Feature Selection. In N. Manset and P. Forshay, eds.:
<em>23rd Annual Astronomical Data Analysis Software and Systems
Conference (ADASS XXIII)</em>, pp. 425-428,
ASP Conference Series <vol>485</vol>, 2014
</div>
<div class=publication>Lauge Sørensen, Akshay Pai, Cecilie Anker, Ioana Balas,
Martin Lillholm, Christian Igel, and
Mads Nielsen.
<a href="http://caddementia.grand-challenge.org/site/CADDementia/serve/public_html/articles/Soerensen.pdf">Dementia diagnosis using MRI cortical thickness, shape, texture,
and volumetry</a>.
In E. E. Bron, S. Klein, M. Smits, J. C. van Swieten, and
W. J.
Niessen, eds.: <em> Medical Image Computing and Computer Assisted
Intervention (MICCAI): CADDementia Workshop</em>, 2014.
<em> 1st and 2nd rank in the CADDementia Grand
Challenge</em>
</div>
<a name="y13"></a>
<h4>2013</h4>
<div class=publication></a><img alt="[Contributing hypervolume]"
style="margin: 0px 10px 20px 10px" width="150" align=right src="images/ContributedHypervolumeANew.png" border=0>
Karl Bringmann, Tobias Friedrich, Christian Igel, and Thomas Voß.
<a href="paper/SUM-OObMCA.pdf">Speeding Up Many-Objective Optimization by Monte Carlo
Approximations</a>. <em>Artificial Intelligence</em> <vol>204</vol>,
pp. 22-29,
2013</div>
<div class=publication>Kai Brügge, Asja Fischer, and Christian Igel.
<a href="paper/TFTSTOfRBMs.pdf">The flip-the-state transition operator for restricted Boltzmann
machines</a>. <em>Machine Learning</em> <vol>13</vol>, pp. 53-69, 2013
</div>
<div class=publication><a href="http://www.fabiangieseke.de">Fabian Gieseke</a>, Christian Igel, and Tapio
Pahikkala. <a href="http://jmlr.org/proceedings/papers/v29/Gieseke13.pdf">Polynomial runtime bounds for fixed-rank unsupervised least-squares classification</a>. <em>JMLR W&CP</em> <vol>29</vol> (ACML),
pp. 62-71, 2013</div>
<div class=publication> Christian Igel. <a href="paper/ANoGLWEAPRS.pdf">A Note on Generalization Loss When Evolving
Adaptive Pattern Recognition Systems</a>.
<em>IEEE Transactions on Evolutionary Computation</em>
<vol>17</vol>(3), pp. 345-352, 2013</div>
<div class=publication>Oswin Krause, Asja Fischer, Tobias Glasmachers,
and Christian Igel.