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2020 – today
- 2024
[j13]Yashar Deldjoo
, Markus Schedl, Peter Knees:
Content-driven music recommendation: Evolution, state of the art, and challenges. Comput. Sci. Rev. 51: 100618 (2024)- [c90]Moritz Staudinger, Bettina M. J. Kern, Tomasz Miksa, Lukas Arnhold, Peter Knees, Andreas Rauber, Allan Hanbury:
Mission Reproducibility: An Investigation on Reproducibility Issues in Machine Learning and Information Retrieval Research. e-Science 2024: 1-9 - [c89]Pavan Seshadri, Shahrzad Shashaani, Peter Knees:
Enhancing Sequential Music Recommendation with Negative Feedback-informed Contrastive Learning. RecSys 2024: 1028-1032 - [c88]Andres Ferraro, Lorenzo Porcaro, Peter Knees, Christine Bauer:
MuRS 2024: 2nd Music Recommender Systems Workshop. RecSys 2024: 1202-1205 - [e4]Andres Ferraro, Lorenzo Porcaro, Peter Knees, Christine Bauer:
Proceedings of the 2nd Music Recommender Systems Workshop 2024 co-located with the 18th ACM Conference on Recommender Systems (RecSys 2024), Bari, Italy, October 14, 2024. CEUR Workshop Proceedings 3787, CEUR-WS.org 2024 [contents] - [i7]Pavan Seshadri, Shahrzad Shashaani, Peter Knees:
Enhancing Sequential Music Recommendation with Negative Feedback-informed Contrastive Learning. CoRR abs/2409.07367 (2024) - 2023
- [j12]Hannes Werthner, Allison Stanger, Viola Schiaffonati, Peter Knees, Lynda Hardman, Carlo Ghezzi:
Digital Humanism: The Time Is Now. Computer 56(1): 138-142 (2023) - [c87]Peter Knees, Alexander Lerch:
MILC 2023: 3rd Workshop on Intelligent Music Interfaces for Listening and Creation. IUI Companion 2023: 185-186 - [c86]Katrin Schreiberhuber, Marta Sabou, Fajar J. Ekaputra, Peter Knees, Peb Ruswono Aryan, Alfred Einfalt, Ralf Mosshammer:
Causality Prediction with Neural-Symbolic Systems: A Case Study in Smart Grids. NeSy 2023: 336-347 - [c85]Erich Prem, Julia Neidhardt, Peter Knees, Stefan Woltran, Hannes Werthner:
Digital Humanism and Norms in Recommender Systems. NORMalize@RecSys 2023 - [c84]Andres Ferraro, Peter Knees, Massimo Quadrana, Tao Ye, Fabien Gouyon:
MuRS: Music Recommender Systems Workshop. RecSys 2023: 1227-1230 - [c83]Mete Sertkan, Sophia Althammer, Sebastian Hofstätter, Peter Knees, Julia Neidhardt:
Exploring Effect-Size-Based Meta-Analysis for Multi-Dataset Evaluation. Perspectives@RecSys 2023 - [i6]Pavan Seshadri, Peter Knees:
Leveraging Negative Signals with Self-Attention for Sequential Music Recommendation. CoRR abs/2309.11623 (2023) - 2022
- [c82]Peter Knees, Bruce Ferwerda, Andreas Rauber, Sebastian Strumbelj, Annabel Resch, Laurenz Tomandl, Valentin Bauer, Fung Yee Tang, Josip Bobinac, Amila Ceranic, Riad Dizdar:
A Reproducibility Study on User-centric MIR Research and Why it is Important. ISMIR 2022: 764-771 - [c81]Maximilian Damböck, Richard Vogl, Peter Knees:
On the Impact and Interplay of Input Representations and Network Architectures for Automatic Music Tagging. ISMIR 2022: 941-948 - [c80]Peter Knees, Andres Ferraro, Moritz Hubler:
Bias and Feedback Loops in Music Recommendation: Studies on Record Label Impact. MORS@RecSys 2022 - [c79]Damjan Prvulovic, Richard Vogl, Peter Knees:
ReStyle-MusicVAE: Enhancing User Control of Deep Generative Music Models with Expert Labeled Anchors. UMAP (Adjunct Publication) 2022: 63-66 - [p1]Peter Knees:
Scaling Up Broken Systems? Considerations from the Area of Music Streaming. Perspectives on Digital Humanism 2022: 165-171 - [r2]Markus Schedl, Peter Knees, Brian McFee, Dmitry Bogdanov:
Music Recommendation Systems: Techniques, Use Cases, and Challenges. Recommender Systems Handbook 2022: 927-971 - 2021
- [j11]Jens Adamczak, Yashar Deldjoo, Farshad Bakhshandegan Moghaddam, Peter Knees, Gerard Paul Leyson, Philipp Monreal:
Session-based Hotel Recommendations Dataset: As part of the ACM Recommender System Challenge 2019. ACM Trans. Intell. Syst. Technol. 12(1): 1:1-1:20 (2021) - [c78]Peter Knees:
An Overview of Music Retrieval and Recommendation: From Describing Sound to Asking What is Fair. HCI-SI 2021: 2 - [i5]Yashar Deldjoo, Markus Schedl, Peter Knees:
Content-driven Music Recommendation: Evolution, State of the Art, and Challenges. CoRR abs/2107.11803 (2021) - 2020
- [j10]Peter Knees, Markus Schedl, Masataka Goto:
Intelligent User Interfaces for Music Discovery. Trans. Int. Soc. Music. Inf. Retr. 3(1): 165-179 (2020) - [j9]Marko Tkalcic, Markus Schedl, Peter Knees:
Preface to the Special Issue on user modeling for personalized interaction with music. User Model. User Adapt. Interact. 30(2): 195-198 (2020) - [c77]Sascha Hunold, Abhinav Bhatele, George Bosilca, Peter Knees:
Predicting MPI Collective Communication Performance Using Machine Learning. CLUSTER 2020: 259-269 - [c76]Markus Schedl, Michael Mayr, Peter Knees:
Music Tower Blocks: Multi-Faceted Exploration Interface for Web-Scale Music Access. ICMR 2020: 388-392 - [c75]Alexander Schindler, Sergiu Gordea, Peter Knees:
Unsupervised cross-modal audio representation learning from unstructured multilingual text. SAC 2020: 706-713 - [i4]Alexander Schindler, Sergiu Gordea, Peter Knees:
Unsupervised Cross-Modal Audio Representation Learning from Unstructured Multilingual Text. CoRR abs/2003.12265 (2020)
2010 – 2019
- 2019
- [j8]Thomas Krismayer, Markus Schedl, Peter Knees, Rick Rabiser:
Predicting user demographics from music listening information. Multim. Tools Appl. 78(3): 2897-2920 (2019) - [c74]Alexander Schindler, Peter Knees:
Multi-Task Music Representation Learning from Multi-Label Embeddings. CBMI 2019: 1-6 - [c73]Peter Knees, Markus Schedl, Masataka Goto:
Intelligent User Interfaces for Music Discovery: The Past 20 Years and What's to Come. ISMIR 2019: 44-53 - [c72]Sebastian Böck, Matthew E. P. Davies, Peter Knees:
Multi-Task Learning of Tempo and Beat: Learning One to Improve the Other. ISMIR 2019: 486-493 - [c71]Richard Vogl, Hamid Eghbal-Zadeh, Peter Knees:
An automatic drum machine with touch UI based on a generative neural network. IUI Companion 2019: 91-92 - [c70]Peter Knees, Markus Schedl, Rebecca Fiebrink:
Intelligent music interfaces for listening and creation. IUI Companion 2019: 135-136 - [c69]Peter Knees, Yashar Deldjoo, Farshad Bakhshandegan Moghaddam, Jens Adamczak, Gerard Paul Leyson, Philipp Monreal:
RecSys challenge 2019: session-based hotel recommendations. RecSys 2019: 570-571 - [e3]Peter Knees, Yashar Deldjoo, Farshad Bakhshandegan Moghaddam, Jens Adamczak, Gerard Paul Leyson, Philipp Monreal:
Proceedings of the Workshop on ACM Recommender Systems Challenge, Copenhagen, Denmark, September 2019. ACM 2019, ISBN 978-1-4503-7667-9 [contents] - [i3]Jens Adamczak, Gerard Paul Leyson, Peter Knees, Yashar Deldjoo, Farshad Bakhshandegan Moghaddam, Julia Neidhardt, Wolfgang Wörndl, Philipp Monreal:
Session-Based Hotel Recommendations: Challenges and Future Directions. CoRR abs/1908.00071 (2019) - [i2]Alexander Schindler, Peter Knees:
Multi-Task Music Representation Learning from Multi-Label Embeddings. CoRR abs/1909.07730 (2019) - 2018
- [c68]Yashar Deldjoo, Markus Schedl, Balázs Hidasi, Peter Knees:
Multimedia recommender systems. RecSys 2018: 537-538 - [i1]Richard Vogl, Gerhard Widmer, Peter Knees:
Towards multi-instrument drum transcription. CoRR abs/1806.06676 (2018) - 2017
- [c67]Thomas Krismayer, Markus Schedl, Peter Knees, Rick Rabiser:
Prediction of User Demographics from Music Listening Habits. CBMI 2017: 8:1-8:7 - [c66]Haukur Pálmason, Björn Þór Jónsson, Markus Schedl, Peter Knees:
Music Genre Classification Revisited: An In-Depth Examination Guided by Music Experts. CMMR 2017: 49-62 - [c65]Richard Vogl, Matthias Dorfer, Peter Knees:
Drum transcription from polyphonic music with recurrent neural networks. ICASSP 2017: 201-205 - [c64]Markus Schedl, Florian Lemmerich, Bruce Ferwerda, Marcin Skowron, Peter Knees:
Indicators of Country Similarity in Terms of Music Taste, Cultural, and Socio-economic Factors. ISM 2017: 308-311 - [c63]Richard Vogl, Matthias Dorfer, Gerhard Widmer, Peter Knees:
Drum Transcription via Joint Beat and Drum Modeling Using Convolutional Recurrent Neural Networks. ISMIR 2017: 150-157 - [c62]Peter Knees, Kristina Andersen:
Building Physical Props for Imagining Future Recommender Systems. HUMANIZE@IUI 2017: 39-43 - [c61]Richard Vogl, Peter Knees:
An intelligent drum machine for electronic dance music production and performance. NIME 2017: 251-256 - [c60]Markus Schedl, Peter Knees, Fabien Gouyon:
New Paths in Music Recommender Systems Research. RecSys 2017: 392-393 - [c59]Haukur Pálmason, Björn Þór Jónsson, Laurent Amsaleg, Markus Schedl, Peter Knees:
On Competitiveness of Nearest-Neighbor-Based Music Classification: A Methodological Critique. SISAP 2017: 275-283 - [c58]Peter Knees, Kristina Andersen, Alan Said, Marko Tkalcic:
UMAP 2017 Workshop on Surprise, Opposition, and Obstruction in Adaptive and Personalized Systems: Organizers' Welcome & Organization. UMAP (Adjunct Publication) 2017: 347-349 - 2016
- [b1]Peter Knees, Markus Schedl:
Music Similarity and Retrieval - An Introduction to Audio- and Web-based Strategies. The Information Retrieval Series 36, Springer 2016, ISBN 978-3-662-49720-3, pp. 1-254 - [c57]Kristina Andersen, Peter Knees:
The Dial: Exploring Computational Strangeness. CHI Extended Abstracts 2016: 1352-1358 - [c56]Peter Knees, Kristina Andersen, Sergi Jordà, Michael Hlatky, Andrés Bucci, Wulf Gaebele, Roman Kaurson:
The GiantSteps Project: A Second-Year Intermediate Report. ICMC 2016 - [c55]Kristina Andersen, Peter Knees:
Conversations with Expert Users in Music Retrieval and Research Challenges for Creative MIR. ISMIR 2016: 122-128 - [c54]Richard Vogl, Matthias Dorfer, Peter Knees:
Recurrent Neural Networks for Drum Transcription. ISMIR 2016: 730-736 - [c53]Richard Vogl, Peter Knees:
An Intelligent Musical Rhythm Variation Interface. IUI Companion 2016: 88-91 - [c52]Peter Knees, Kristina Andersen:
Searching for Audio by Sketching Mental Images of Sound: A Brave New Idea for Audio Retrieval in Creative Music Production. ICMR 2016: 95-102 - [c51]Peter Knees, Kristina Andersen:
A Prototype for Exploration of Computational Strangeness in the Context of Rhythm Variation. UMAP (Extended Proceedings) 2016 - 2015
- [c50]Florian Grote, Kristina Andersen, Peter Knees:
Collaborating with Intelligent Machines: Interfaces for Creative Sound. CHI Extended Abstracts 2015: 2345-2348 - [c49]Peter Knees, Kristina Andersen, Marko Tkalcic:
"I'd like it to do the opposite": Music-Making Between Recommendation and Obstruction. DMRS 2015: 9-16 - [c48]Peter Knees, Kristina Andersen, Sergi Jordà, Michael Hlatky, Günter Geiger, Wulf Gaebele, Roman Kaurson:
Giantsteps - progress towards developing intelligent and collaborative interfaces for music production and performance. ICME Workshops 2015: 1-4 - [c47]Andreu Vall, Marcin Skowron, Peter Knees, Markus Schedl:
Improving Music Recommendations with a Weighted Factorization of the Tagging Activity. ISMIR 2015: 65-71 - [c46]Peter Knees, Ángel Faraldo, Perfecto Herrera, Richard Vogl, Sebastian Böck, Florian Hörschläger, Mickael Le Goff:
Two Data Sets for Tempo Estimation and Key Detection in Electronic Dance Music Annotated from User Corrections. ISMIR 2015: 364-370 - [c45]Michael Mayr, Thomas Hintersteiner, Michael Weingartner, Florian Schröckeneder, Peter Knees, Markus Schedl:
JKU-Satellite at MediaEval 2015: An Intuitive Approach to Locate Single Pictures Within a Session. MediaEval 2015 - [c44]Peter Knees, Markus Schedl:
Music Retrieval and Recommendation: A Tutorial Overview. SIGIR 2015: 1133-1136 - [r1]Markus Schedl, Peter Knees, Brian McFee, Dmitry Bogdanov, Marius Kaminskas:
Music Recommender Systems. Recommender Systems Handbook 2015: 453-492 - 2014
- [c43]Peter Knees, Dominik Schnitzer, Arthur Flexer:
Improving Neighborhood-Based Collaborative Filtering by Reducing Hubness. ICMR 2014: 161 - [c42]Peter Knees:
The use of social media for music analysis and creation within the giantsteps project. SoMeRA@SIGIR 2014: 41-42 - [c41]Markus Schedl, Peter Knees, Jialie Shen:
SoMeRA 2014: social media retrieval and analysis workshop. SIGIR 2014: 1297 - [e2]Markus Schedl, Peter Knees, Jialie Shen:
SoMeRA'14, Proceedings of the First ACM International Workshop on Social Media Retrieval and Analysis, July 11, 2014, Gold Coast, Queensland, Australia. ACM 2014, ISBN 978-1-4503-3022-0 [contents] - 2013
- [j7]Peter Knees, Markus Schedl, Òscar Celma:
Hybrid music information retrieval. Int. J. Multim. Inf. Retr. 2(1): 1-2 (2013) - [j6]Peter Knees, Markus Schedl:
A survey of music similarity and recommendation from music context data. ACM Trans. Multim. Comput. Commun. Appl. 10(1): 2:1-2:21 (2013) - [c40]Ionut Mironica, Bogdan Ionescu, Peter Knees, Patrick Lambert:
An in-depth evaluation of multimodal video genre categorization. CBMI 2013: 11-16 - [c39]Peter Knees, Markus Schedl:
Music similarity and retrieval. SIGIR 2013: 1125 - 2012
- [j5]Peter Knees, Tim Pohle, Gerhard Widmer:
Sound/tracks: artistic real-time sonification of train journeys. J. Multimodal User Interfaces 6(1-2): 87-93 (2012) - [c38]Bogdan Ionescu, Ionut Mironica, Klaus Seyerlehner, Peter Knees, Jan Schlüter, Markus Schedl, Horia Cucu, Andi Buzo, Patrick Lambert:
ARF @ MediaEval 2012: Multimodal Video Classification. MediaEval 2012 - [c37]Sebastian Huber, Markus Schedl, Peter Knees:
nepDroid: an intelligent mobile music player. ICMR 2012: 57 - 2011
- [j4]Markus Schedl, Gerhard Widmer, Peter Knees, Tim Pohle:
A music information system automatically generated via Web content mining techniques. Inf. Process. Manag. 47(3): 426-439 (2011) - [j3]Markus Schedl, Tim Pohle, Peter Knees, Gerhard Widmer:
Exploring the music similarity space on the web. ACM Trans. Inf. Syst. 29(3): 14:1-14:24 (2011) - [c36]Markus Schedl, Peter Knees:
Personalization in Multimodal Music Retrieval. Adaptive Multimedia Retrieval 2011: 58-71 - [c35]Peter Knees:
An Approach to Automatic Music Band Member Detection Based on Supervised Learning. Adaptive Multimedia Retrieval 2011: 125-139 - [c34]Markus Schedl, Peter Knees, Sebastian Böck:
Investigating the Similarity Space of Music Artists on the Micro-Blogosphere. ISMIR 2011: 323-328 - [c33]Markus Schedl, Christian Höglinger, Peter Knees:
Large-scale music exploration in hierarchically organized landscapes using prototypicality information. ICMR 2011: 8 - [e1]Marcin Detyniecki, Peter Knees, Andreas Nürnberger, Markus Schedl, Sebastian Stober:
Adaptive Multimedia Retrieval. Context, Exploration, and Fusion - 8th International Workshop, AMR 2010, Linz, Austria, August 17-18, 2010, Revised Selected Papers. Lecture Notes in Computer Science 6817, Springer 2011, ISBN 978-3-642-27168-7 [contents] - 2010
- [c32]Klaus Seyerlehner, Gerhard Widmer, Peter Knees:
A Comparison of Human, Automatic and Collaborative Music Genre Classification and User Centric Evaluation of Genre Classification Systems. Adaptive Multimedia Retrieval 2010: 118-131 - [c31]Markus Schedl, Tim Pohle, Noam Koenigstein, Peter Knees:
What's Hot? Estimating Country-specific Artist Popularity. ISMIR 2010: 117-122 - [c30]Peter Knees, Markus Schedl, Tim Pohle, Klaus Seyerlehner, Gerhard Widmer:
Supervised and Unsupervised Web Document Filtering Techniques to Improve Text-Based Music Retrieval. ISMIR 2010: 543-548
2000 – 2009
- 2009
- [c29]Klaus Seyerlehner, Peter Knees, Dominik Schnitzer, Gerhard Widmer:
Browsing Music Recommendation Networks. ISMIR 2009: 129-134 - [c28]Tim Pohle, Dominik Schnitzer, Markus Schedl, Peter Knees, Gerhard Widmer:
On Rhythm and General Music Similarity. ISMIR 2009: 525-530 - [c27]Peter Knees, Tim Pohle, Markus Schedl, Dominik Schnitzer, Klaus Seyerlehner, Gerhard Widmer:
Augmenting Text-based Music Retrieval with Audio Similarity: Advantages and Limitations. ISMIR 2009: 579-584 - 2008
- [c26]Markus Schedl, Peter Knees, Tim Pohle, Gerhard Widmer:
Towards an Automatically Generated Music Information System Via Web Content Mining. ECIR 2008: 585-590 - [c25]Peter Knees, Tim Pohle, Markus Schedl, Dominik Schnitzer, Klaus Seyerlehner:
A Document-Centered Approach to a Natural Language Music Search Engine. ECIR 2008: 627-631 - [c24]Markus Dopler, Markus Schedl, Tim Pohle, Peter Knees:
Accessing Music Collections Via Representative Cluster Prototypes in a Hierarchical Organization Scheme. ISMIR 2008: 179-184 - [c23]Florian Kleedorfer, Peter Knees, Tim Pohle:
Oh Oh Oh Whoah! Towards Automatic Topic Detection In Song Lyrics. ISMIR 2008: 287-292 - [c22]Tim Pohle, Peter Knees, Gerhard Widmer:
Sound/tracks: real-time synaesthetic sonification and visualisation of passing landscapes. ACM Multimedia 2008: 599-608 - [c21]Peter Knees, Tim Pohle, Gerhard Widmer:
Sound/tracks: real-time synaesthetic sonification of train journeys. ACM Multimedia 2008: 1117-1118 - 2007
- [j2]Peter Knees, Markus Schedl, Tim Pohle, Gerhard Widmer:
Exploring Music Collections in Virtual Landscapes. IEEE Multim. 14(3): 46-54 (2007) - [j1]Tim Pohle, Peter Knees, Markus Schedl, Elias Pampalk, Gerhard Widmer:
"Reinventing the Wheel": A Novel Approach to Music Player Interfaces. IEEE Trans. Multim. 9(3): 567-575 (2007) - [c20]Peter Knees, Gerhard Widmer:
Searching for Music Using Natural Language Queries and Relevance Feedback. Adaptive Multimedia Retrieval 2007: 109-121 - [c19]Tim Pohle, Peter Knees, Markus Schedl, Gerhard Widmer:
Building an Interactive Next-Generation Artist Recommender Based on Automatically Derived High-Level Concepts. CBMI 2007: 336-343 - [c18]Tim Pohle, Peter Knees, Markus Schedl, Gerhard Widmer:
Meaningfully Browsing Music Services. ISMIR 2007: 115-116 - [c17]Peter Knees:
Search & Select - Intuitively Retrieving Music from Large Collections. ISMIR 2007: 177-178 - [c16]Gijs Geleijnse, Markus Schedl, Peter Knees:
The Quest for Ground Truth in Musical Artist Tagging in the Social Web Era. ISMIR 2007: 525-530 - [c15]Dominik Schnitzer, Tim Pohle, Peter Knees, Gerhard Widmer:
One-touch access to music on mobile devices. MUM 2007: 103-109 - [c14]Peter Knees, Tim Pohle, Markus Schedl, Gerhard Widmer:
A music search engine built upon audio-based and web-based similarity measures. SIGIR 2007: 447-454 - [c13]Markus Schedl, Peter Knees, Klaus Seyerlehner, Tim Pohle:
The CoMIRVA Toolkit for Visualizing Music-Related Data. EuroVis 2007: 147-154 - 2006
- [c12]Markus Schedl, Peter Knees, Tim Pohle, Gerhard Widmer:
Towards Automatic Retrieval of Album Covers. ECIR 2006: 531-534 - [c11]Markus Schedl, Peter Knees, Gerhard Widmer:
Investigating Web-Based Approaches to Revealing Prototypical Music Artists in Genre Taxonomies. ICDIM 2006: 519-524 - [c10]Tim Pohle, Peter Knees, Markus Schedl, Gerhard Widmer:
Independent Component Analysis for Music Similarity Computation. ISMIR 2006: 228-233 - [c9]Markus Schedl, Tim Pohle, Peter Knees, Gerhard Widmer:
Assigning and Visualizing Music Genres by Web-based Co-Occurrence Analysis. ISMIR 2006: 260-265 - [c8]Peter Knees, Tim Pohle, Markus Schedl, Gerhard Widmer:
Combining audio-based similarity with web-based data to accelerate automatic music playlist generation. Multimedia Information Retrieval 2006: 147-154 - [c7]Peter Knees, Markus Schedl, Tim Pohle, Gerhard Widmer:
An innovative three-dimensional user interface for exploring music collections enriched. ACM Multimedia 2006: 17-24 - 2005
- [c6]Markus Schedl, Peter Knees, Gerhard Widmer:
Improving Prototypical Artist Detection by Penalizing Exorbitant Popularity. CMMR 2005: 196-200 - [c5]Gerhard Widmer, Simon Dixon, Arthur Flexer, Werner Goebl, Peter Knees, Søren Tjagvad Madsen, Elias Pampalk, Tim Pohle, Markus Schedl, Asmir Tobudic:
The Machine Learning and Intelligent Music Processing Group at the Austrian Research Institute for Artificial Intelligence (öFAI), Vienna. ICMC 2005 - [c4]Markus Schedl, Peter Knees, Gerhard Widmer:
Discovering and Visualizing Prototypical Artists by Web-Based Co-Occurrence Analysis. ISMIR 2005: 21-28 - [c3]Peter Knees, Markus Schedl, Gerhard Widmer:
Multiple Lyrics Alignment: Automatic Retrieval of Song Lyrics. ISMIR 2005: 564-569 - [c2]Markus Schedl, Peter Knees, Gerhard Widmer:
Interactive Poster: Using CoMIRVA for Visualizing Similarities Between Music Artists. IEEE Visualization 2005: 89 - 2004
- [c1]Peter Knees, Elias Pampalk, Gerhard Widmer:
Artist Classification with Web-Based Data. ISMIR 2004
Coauthor Index
[j13] [r2] [i5] [j10] [j9] [c76] [j8] [c73] [c70] [c68] [c67] [c66] [c64] [c60] [c59] [b1] [c47] [c45] [c44] [r1] [c41] [e2] [j7] [j6] [c39] [c38] [c37] [j4] [j3] [c36] [c34] [c33] [e1] [c31] [c30] [c28] [c27] [c26] [c25] [c24] [j2] [j1] [c19] [c18] [c16] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2]
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