{"id":10,"date":"2021-09-29T16:39:29","date_gmt":"2021-09-29T14:39:29","guid":{"rendered":"https:\/\/people.unil.ch\/michalisvlachos\/?page_id=10"},"modified":"2025-09-19T06:11:52","modified_gmt":"2025-09-19T04:11:52","slug":"publications","status":"publish","type":"page","link":"https:\/\/people.unil.ch\/michalisvlachos\/publications\/","title":{"rendered":"Publications &amp; Patents"},"content":{"rendered":"\n<p>Below, you may find a list of representative publications. For an up-to-date list consult <a href=\"https:\/\/scholar.google.com\/citations?user=7t99g38AAAAJ&amp;hl=fr\">Google Scholar<\/a>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"interpretable-machine-learning\">Interpretable Machine Learning<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/dblp.org\/pid\/31\/4013-2.html\">Johannes Schneider<\/a>,\u00a0Michalis Vlachos:<strong> Reflective-net: learning from explanations.<\/strong>\u00a0<a href=\"https:\/\/dblp.org\/db\/journals\/datamine\/datamine38.html#SchneiderV24\">Data Min. Knowl. Discov.\u00a038(5)<\/a>:\u00a02975-2996\u00a0(2024)<\/li>\n\n\n\n<li><a href=\"https:\/\/dblp.org\/pid\/31\/4013-2.html\">Johannes Schneider<\/a>,\u00a0<a href=\"https:\/\/dblp.org\/pid\/120\/3127.html\">Christian Meske<\/a>,\u00a0Michalis Vlachos:<strong> Deceptive XAI: Typology, Creation and Detection.<\/strong>\u00a0<a href=\"https:\/\/dblp.org\/db\/journals\/sncs\/sncs5.html#SchneiderMV24\">SN Comput. Sci.\u00a05(1)<\/a>:\u00a081(2024)<\/li>\n\n\n\n<li><a href=\"https:\/\/dblp.org\/pid\/92\/7140.html\">Nikolaos M. Freris<\/a>, <a href=\"https:\/\/dblp.org\/pid\/271\/7779.html\">Ahmad Ajalloeian<\/a>, Michalis Vlachos: <strong>Interpretable Embedding and Visualization of Compressed Data.<\/strong> <a href=\"https:\/\/dblp.org\/db\/journals\/tkdd\/tkdd17.html#FrerisAV23\">ACM Trans. Knowl. Discov. Data 17(2)<\/a>: 22:1-22:22 (2023)<\/li>\n\n\n\n<li><a href=\"https:\/\/dblp.org\/pid\/31\/4013-2.html\">Johannes Schneider<\/a>, Michalis Vlachos: <strong>Explaining classifiers by constructing familiar concepts.<\/strong> <a href=\"https:\/\/dblp.org\/db\/journals\/ml\/ml112.html#SchneiderV23\">Mach. Learn. 112(11)<\/a>: 4167-4200 (2023)<\/li>\n\n\n\n<li><a href=\"https:\/\/dblp.org\/pid\/271\/7779.html\">Ahmad Ajalloeian<\/a>, <a href=\"https:\/\/dblp.org\/pid\/172\/0831.html\">Seyed-Mohsen Moosavi-Dezfooli<\/a>, Michalis Vlachos, <a href=\"https:\/\/dblp.org\/pid\/64\/4669.html\">Pascal Frossard<\/a>: <strong>Sparse Attacks for Manipulating Explanations in Deep Neural Network Models.<\/strong> <a href=\"https:\/\/dblp.org\/db\/conf\/icdm\/icdm2023.html#AjalloeianMVF23\">ICDM 2023<\/a>: 918-923<\/li>\n\n\n\n<li>NM Freris, A. Ajalloeian, Michalis Vlachos: <strong>Interpretable Embedding and Visualization of Compressed Data<\/strong>. ACM Transaction on Knowledge Discovery from Data,TKDD (2022)<\/li>\n\n\n\n<li>Ahmad Ajalloeian, Seyed Mohsen Moosavi-Dezfooli, Michalis Vlachos, Pascal Frossard: <strong>On smoothed explanations: Quality and Robustness<\/strong>, CIKM (2022)<\/li>\n\n\n\n<li><a href=\"https:\/\/dblp.org\/pid\/31\/4013.html\">Johannes Schneider<\/a>,&nbsp;<a href=\"https:\/\/dblp.org\/pid\/120\/3127.html\">Christian Meske<\/a>,&nbsp;Michalis Vlachos:<\/li>\n\n\n\n<li><strong>Deceptive AI Explanations: Creation and Detection.<\/strong>&nbsp;<a href=\"https:\/\/dblp.org\/db\/conf\/icaart\/icaart2022-2.html#SchneiderMV22\">ICAART (2)&nbsp;2022<\/a>:&nbsp;44-55 <em>[Best Paper Award]<\/em><\/li>\n\n\n\n<li><a href=\"https:\/\/dblp.org\/pid\/31\/4013.html\">Johannes Schneider<\/a>,&nbsp;Michalis Vlachos: <strong>Explaining Neural Networks by Decoding Layer Activations.<\/strong>&nbsp;<a href=\"https:\/\/dblp.org\/db\/conf\/ida\/ida2021.html#SchneiderV21\">IDA&nbsp;2021<\/a>:&nbsp;63-75<\/li>\n\n\n\n<li><a href=\"https:\/\/dblp.org\/pid\/31\/4013.html\">Johannes Schneider<\/a>,&nbsp;Michalis Vlachos: <strong>Personalization of Deep Learning<\/strong>. <a href=\"https:\/\/link.springer.com\/chapter\/10.1007\/978-3-658-32182-6_14\">Data Science-Analytics and Applications<\/a>: 89-96 (2021)<\/li>\n\n\n\n<li><a href=\"https:\/\/dblp.org\/pid\/31\/4013.html\">Johannes Schneider<\/a>,&nbsp;<a href=\"https:\/\/dblp.org\/pid\/220\/6709.html\">Joshua Handali<\/a>,&nbsp;Michalis Vlachos,&nbsp;<a href=\"https:\/\/dblp.org\/pid\/120\/3127.html\">Christian Meske<\/a>: <strong>Deceptive AI Explanations: Creation and Detection.<\/strong>&nbsp;<a href=\"https:\/\/dblp.org\/db\/journals\/corr\/corr2001.html#abs-2001-07641\">CoRR&nbsp;abs\/2001.07641<\/a>&nbsp;(2020)<\/li>\n\n\n\n<li><a href=\"https:\/\/dblp.org\/pid\/31\/4013.html\">Johannes Schneider<\/a>,&nbsp;Michalis Vlachos: <strong>Reflective-Net: Learning from Explanations.<\/strong>&nbsp;<a href=\"https:\/\/dblp.org\/db\/journals\/corr\/corr2011.html#abs-2011-13986\">CoRR&nbsp;abs\/2011.13986<\/a>&nbsp;(2020)<\/li>\n\n\n\n<li><a href=\"https:\/\/dblp.org\/pid\/92\/7140.html\">Nikolaos M. Freris<\/a>,&nbsp;Michalis Vlachos,&nbsp;<a href=\"https:\/\/dblp.org\/pid\/271\/7779.html\">Ahmad Ajalloeian<\/a>: <strong>An Interpretable Data Embedding under Uncertain Distance Information.<\/strong>&nbsp;<a href=\"https:\/\/dblp.org\/db\/conf\/icdm\/icdm2020.html#FrerisVA20\">ICDM&nbsp;2020<\/a>:&nbsp;1022-1027<\/li>\n\n\n\n<li>Michail Vlachos,&nbsp;<a href=\"https:\/\/dblp.org\/pid\/153\/5201.html\">Vassilios G. Vassiliadis<\/a>,&nbsp;<a href=\"https:\/\/dblp.org\/pid\/81\/9668.html\">Reinhard Heckel<\/a>,&nbsp;<a href=\"https:\/\/dblp.org\/pid\/197\/1193.html\">A. Labbi<\/a>: <strong>Toward interpretable predictive models in B2B recommender systems.<\/strong>&nbsp;<a href=\"https:\/\/dblp.org\/db\/journals\/ibmrd\/ibmrd60.html#VlachosVHL16\">IBM J. Res. Dev.&nbsp;60(5\/6)<\/a>:&nbsp;11:1-11:12&nbsp;(2016)<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"recommender-systems\">Recommender Systems<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/dblp.org\/pid\/378\/3252.html\">H\u00e9di Razgallah<\/a>,\u00a0Michalis Vlachos,\u00a0<a href=\"https:\/\/dblp.org\/pid\/271\/7779.html\">Ahmad Ajalloeian<\/a>,\u00a0<a href=\"https:\/\/dblp.org\/pid\/145\/4489.html\">Ninghao Liu<\/a>,\u00a0<a href=\"https:\/\/dblp.org\/pid\/31\/4013-2.html\">Johannes Schneider<\/a>,\u00a0<a href=\"https:\/\/dblp.org\/pid\/331\/3564.html\">Alexis Steinmann<\/a>:<strong> Using Neural and Graph Neural Recommender Systems to Overcome Choice Overload: Evidence From a Music Education Platform.<\/strong>\u00a0<a href=\"https:\/\/dblp.org\/db\/journals\/tois\/tois42.html#RazgallahVALSS24\">ACM Trans. Inf. Syst.42(4)<\/a>:\u00a092:1-92:26\u00a0(2024)<\/li>\n\n\n\n<li><a href=\"https:\/\/dblp.org\/pid\/338\/9195.html\">Henri Jamet<\/a>,\u00a0<a href=\"https:\/\/dblp.org\/pid\/367\/0883.html\">Maxime Manderlier<\/a>,\u00a0<a href=\"https:\/\/dblp.org\/pid\/125\/2884.html\">Yash Raj Shrestha<\/a>,\u00a0Michalis Vlachos:<strong> Evaluation and simplification of text difficulty using LLMs in the context of recommending texts in French to facilitate language learning.<\/strong>\u00a0<a href=\"https:\/\/dblp.org\/db\/conf\/recsys\/recsys2024.html#JametMSV24\">RecSys\u00a02024<\/a>:\u00a0987-992<\/li>\n\n\n\n<li>Michalis Vlachos, <a href=\"https:\/\/dblp.org\/pid\/81\/188.html\">Mircea Lungu<\/a>, <a href=\"https:\/\/dblp.org\/pid\/125\/2884.html\">Yash Raj Shrestha<\/a>, <a href=\"https:\/\/dblp.org\/pid\/356\/7212.html\">Johannes-Rudolf David<\/a>:<strong>Large Language Models for Difficulty Estimation of Foreign Language Content with Application to Language Learning.<\/strong> <a href=\"https:\/\/dblp.org\/db\/journals\/corr\/corr2309.html#abs-2309-05142\">CoRR abs\/2309.05142<\/a> (2023)<\/li>\n\n\n\n<li>Ahmad Ajalloeian, Michalis Vlachos, Johannes Schneider, Alexis Steinmann: <strong>A case study<\/strong> <strong>in educational recommender systems:<\/strong> <strong>Recommending Music Partitures at Tomplay<\/strong>, CIKM (2022)<\/li>\n\n\n\n<li>Michail Vlachos,&nbsp;<a href=\"https:\/\/dblp.org\/pid\/176\/5511.html\">Celestine D\u00fcnner<\/a>,&nbsp;<a href=\"https:\/\/dblp.org\/pid\/81\/9668.html\">Reinhard Heckel<\/a>,&nbsp;<a href=\"https:\/\/dblp.org\/pid\/153\/5201.html\">Vassilios G. Vassiliadis<\/a>,&nbsp;<a href=\"https:\/\/dblp.org\/pid\/91\/1768.html\">Thomas P. Parnell<\/a>,&nbsp;<a href=\"https:\/\/dblp.org\/pid\/11\/3460.html\">Kubilay Atasu<\/a>: <strong>Addressing Interpretability and Cold-Start in Matrix Factorization for Recommender Systems.<\/strong><a href=\"https:\/\/dblp.org\/db\/journals\/tkde\/tkde31.html#VlachosDHVPA19\">IEEE Trans. Knowl. Data Eng.&nbsp;31(7)<\/a>:&nbsp;1253-1266&nbsp;(2019)<\/li>\n\n\n\n<li><a href=\"https:\/\/dblp.org\/pid\/33\/8510.html\">Francesco Fusco<\/a>,&nbsp;Michalis Vlachos,&nbsp;<a href=\"https:\/\/dblp.org\/pid\/210\/1041.html\">Vasileios Vasileiadis<\/a>,&nbsp;<a href=\"https:\/\/dblp.org\/pid\/246\/2820.html\">Kathrin Wardatzky<\/a>,&nbsp;<a href=\"https:\/\/dblp.org\/pid\/31\/4013.html\">Johannes Schneider<\/a>: <strong>RecoNet: An Interpretable Neural Architecture for Recommender Systems.<\/strong><a href=\"https:\/\/dblp.org\/db\/conf\/ijcai\/ijcai2019.html#FuscoVVWS19\">IJCAI&nbsp;2019<\/a>:&nbsp;2343-2349<\/li>\n\n\n\n<li><a href=\"https:\/\/dblp.org\/pid\/81\/9668.html\">Reinhard Heckel<\/a>,&nbsp;Michail Vlachos,&nbsp;<a href=\"https:\/\/dblp.org\/pid\/91\/1768.html\">Thomas P. Parnell<\/a>,&nbsp;<a href=\"https:\/\/dblp.org\/pid\/176\/5511.html\">Celestine D\u00fcnner<\/a>: <strong>Scalable and Interpretable Product Recommendations via Overlapping Co-Clustering.<\/strong><a href=\"https:\/\/dblp.org\/db\/conf\/icde\/icde2017.html#HeckelVPD17\">ICDE&nbsp;2017<\/a>:&nbsp;1033-1044<\/li>\n\n\n\n<li>Michail Vlachos,&nbsp;<a href=\"https:\/\/dblp.org\/pid\/33\/8510.html\">Francesco Fusco<\/a>,&nbsp;<a href=\"https:\/\/dblp.org\/pid\/127\/6731.html\">Charalampos Mavroforakis<\/a>,&nbsp;<a href=\"https:\/\/dblp.org\/pid\/53\/9879.html\">Anastasios Kyrillidis<\/a>,&nbsp;<a href=\"https:\/\/dblp.org\/pid\/153\/5201.html\">Vassilios G. Vassiliadis<\/a>: <strong>Improving Co-Cluster Quality with Application to Product Recommendations.<\/strong><a href=\"https:\/\/dblp.org\/db\/conf\/cikm\/cikm2014.html#VlachosFMKV14\">CIKM&nbsp;2014<\/a>:&nbsp;679-688<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"big-data\">Big Data &amp; Information Retrieval<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/dblp.org\/pid\/55\/6338.html\">Anastasios Zouzias<\/a>,&nbsp;Michail Vlachos: <strong>Very-Low Random Projection Maps.<\/strong><a href=\"https:\/\/dblp.org\/db\/conf\/edbt\/edbt2018.html#ZouziasV18\">EDBT&nbsp;2018<\/a>:&nbsp;421-424<\/li>\n\n\n\n<li><a href=\"https:\/\/dblp.org\/pid\/31\/4013.html\">Johannes Schneider<\/a>,&nbsp;Michail Vlachos:<strong>Scalable density-based clustering with quality guarantees using random projections.<\/strong><a href=\"https:\/\/dblp.org\/db\/journals\/datamine\/datamine31.html#SchneiderV17\">Data Min. Knowl. Discov.&nbsp;31(4)<\/a>:&nbsp;972-1005&nbsp;(2017)<\/li>\n\n\n\n<li><a href=\"https:\/\/dblp.org\/pid\/11\/3460.html\">Kubilay Atasu<\/a>,&nbsp;<a href=\"https:\/\/dblp.org\/pid\/91\/1768.html\">Thomas P. Parnell<\/a>,&nbsp;<a href=\"https:\/\/dblp.org\/pid\/176\/5511.html\">Celestine D\u00fcnner<\/a>,&nbsp;<a href=\"https:\/\/dblp.org\/pid\/75\/3932.html\">Manolis Sifalakis<\/a>,&nbsp;<a href=\"https:\/\/dblp.org\/pid\/75\/6947.html\">Haralampos Pozidis<\/a>,&nbsp;<a href=\"https:\/\/dblp.org\/pid\/210\/1041.html\">Vasileios Vasileiadis<\/a>,&nbsp;Michail Vlachos,&nbsp;<a href=\"https:\/\/dblp.org\/pid\/21\/5775.html\">Cesar Berrospi<\/a>,&nbsp;<a href=\"https:\/\/dblp.org\/pid\/04\/2299.html\">Abdel Labbi<\/a>: <strong>Linear-complexity relaxed word Mover&#8217;s distance with GPU acceleration.<\/strong><a href=\"https:\/\/dblp.org\/db\/conf\/bigdataconf\/bigdataconf2017.html#AtasuPDSPVVBL17\">IEEE BigData&nbsp;2017<\/a>:&nbsp;889-896<\/li>\n\n\n\n<li>Michail Vlachos,&nbsp;<a href=\"https:\/\/dblp.org\/pid\/92\/7140.html\">Nikolaos M. Freris<\/a>,&nbsp;<a href=\"https:\/\/dblp.org\/pid\/53\/9879.html\">Anastasios Kyrillidis<\/a>: <strong>Compressive mining: fast and optimal data mining in the compressed domain.<\/strong><a href=\"https:\/\/dblp.org\/db\/journals\/vldb\/vldb24.html#VlachosFK15\">VLDB J.&nbsp;24(1)<\/a>:&nbsp;1-24&nbsp;(2015)<\/li>\n\n\n\n<li><a href=\"https:\/\/dblp.org\/pid\/31\/4013.html\">Johannes Schneider<\/a>,&nbsp;Michail Vlachos: <strong>On Randomly Projected Hierarchical Clustering with Guarantees.<\/strong><a href=\"https:\/\/dblp.org\/db\/conf\/sdm\/sdm2014.html#SchneiderV14\">SDM&nbsp;2014<\/a>:&nbsp;407-415<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/dblp.org\/pid\/81\/9668.html\">Reinhard Heckel<\/a>,&nbsp;Michail Vlachos: <strong>Private and Right-Protected Big Data Publication: An Analysis.<\/strong>&nbsp;<a href=\"https:\/\/dblp.org\/db\/conf\/sdm\/sdm2017.html#HeckelV17\">SDM&nbsp;2017<\/a>:&nbsp;660-668<\/li>\n\n\n\n<li><a href=\"https:\/\/dblp.org\/pid\/70\/9456.html\">Spyros I. Zoumpoulis<\/a>,&nbsp;Michail Vlachos<img decoding=\"async\" src=\"https:\/\/dblp.org\/img\/orcid-mark.12x12.png\" alt=\"\">,&nbsp;<a href=\"https:\/\/dblp.org\/pid\/92\/7140.html\">Nikolaos M. Freris<\/a>,&nbsp;<a href=\"https:\/\/dblp.org\/pid\/l\/ClaudioLucchese.html\">Claudio Lucchese<\/a>: <strong>Right-Protected Data Publishing with Provable Distance-Based Mining.<\/strong><a href=\"https:\/\/dblp.org\/db\/journals\/tkde\/tkde26.html#ZoumpoulisVFL14\">IEEE Trans. Knowl. Data Eng.&nbsp;26(8)<\/a>:&nbsp;2014-2028&nbsp;(2014)<\/li>\n\n\n\n<li><a href=\"https:\/\/dblp.org\/pid\/68\/3447.html\">Suleyman Serdar Kozat<\/a>,&nbsp;Michail Vlachos,&nbsp;<a href=\"https:\/\/dblp.org\/pid\/l\/ClaudioLucchese.html\">Claudio Lucchese<\/a>,&nbsp;<a href=\"https:\/\/dblp.org\/pid\/46\/5001.html\">Helga Van Herle<\/a>,&nbsp;<a href=\"https:\/\/dblp.org\/pid\/y\/PhilipSYu.html\">Philip S. Yu<\/a>: <strong>Embedding and Retrieving Private Metadata in Electrocardiograms.<\/strong><a href=\"https:\/\/dblp.org\/db\/journals\/jms\/jms33.html#KozatVLHY09\">J. Medical Syst.&nbsp;33(4)<\/a>:&nbsp;241-259&nbsp;(2009)<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/dblp.org\/pid\/55\/6338.html\">Anastasios Zouzias<\/a>,&nbsp;Michail Vlachos,&nbsp;<a href=\"https:\/\/dblp.org\/pid\/42\/5855.html\">Vagelis Hristidis<\/a>: <strong>Templated Search over Relational Databases.<\/strong><a href=\"https:\/\/dblp.org\/db\/conf\/cikm\/cikm2014.html#ZouziasVH14\">CIKM&nbsp;2014<\/a>:&nbsp;21-30<\/li>\n\n\n\n<li><a href=\"https:\/\/dblp.org\/pid\/42\/5855.html\">Vagelis Hristidis<\/a>,&nbsp;<a href=\"https:\/\/dblp.org\/pid\/57\/4942.html\">Oscar Valdivia<\/a>,&nbsp;Michail Vlachos<img decoding=\"async\" src=\"https:\/\/dblp.org\/img\/orcid-mark.12x12.png\" alt=\"\">,&nbsp;<a href=\"https:\/\/dblp.org\/pid\/y\/PhilipSYu.html\">Philip S. Yu<\/a>: <strong>Information discovery across multiple streams.<\/strong><a href=\"https:\/\/dblp.org\/db\/journals\/isci\/isci179.html#HristidisVVY09\">Inf. Sci.&nbsp;179(19)<\/a>:&nbsp;3268-3285&nbsp;(2009)<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-css-opacity\" \/>\n\n\n\n<p style=\"font-size:80px\">Patents<\/p>\n\n\n\n<p>A large portion of my research on recommender systems, data analytics and machine learning has been granted a patent by the US PTO (20+ patents).<\/p>\n\n\n\n<p>See <a rel=\"noreferrer noopener\" href=\"https:\/\/patents.google.com\/?inventor=michail+vlachos&amp;oq=michail+vlachos&amp;sort=new\" target=\"_blank\">here<\/a>.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img alt=\"\" loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"860\" src=\"https:\/\/people.unil.ch\/michalisvlachos\/files\/2022\/05\/image-1024x860.png\" alt=\"\" class=\"wp-image-95\" srcset=\"https:\/\/people.unil.ch\/michalisvlachos\/files\/2022\/05\/image-1024x860.png 1024w, https:\/\/people.unil.ch\/michalisvlachos\/files\/2022\/05\/image-300x252.png 300w, https:\/\/people.unil.ch\/michalisvlachos\/files\/2022\/05\/image-768x645.png 768w, https:\/\/people.unil.ch\/michalisvlachos\/files\/2022\/05\/image-1536x1289.png 1536w, https:\/\/people.unil.ch\/michalisvlachos\/files\/2022\/05\/image-1200x1007.png 1200w, https:\/\/people.unil.ch\/michalisvlachos\/files\/2022\/05\/image.png 1732w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>Below, you may find a list of representative publications. For an up-to-date list consult Google Scholar. Interpretable Machine Learning Recommender Systems Big Data &amp; Information Retrieval Patents A large portion of my research on recommender systems, data analytics and machine learning has been granted a patent by the US PTO (20+ patents). See here.<\/p>\n","protected":false},"author":1001112,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_seopress_robots_primary_cat":"","_seopress_titles_title":"","_seopress_titles_desc":"","_seopress_robots_index":"","footnotes":""},"class_list":["post-10","page","type-page","status-publish"],"_links":{"self":[{"href":"https:\/\/people.unil.ch\/michalisvlachos\/wp-json\/wp\/v2\/pages\/10","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/people.unil.ch\/michalisvlachos\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/people.unil.ch\/michalisvlachos\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/people.unil.ch\/michalisvlachos\/wp-json\/wp\/v2\/users\/1001112"}],"replies":[{"embeddable":true,"href":"https:\/\/people.unil.ch\/michalisvlachos\/wp-json\/wp\/v2\/comments?post=10"}],"version-history":[{"count":2,"href":"https:\/\/people.unil.ch\/michalisvlachos\/wp-json\/wp\/v2\/pages\/10\/revisions"}],"predecessor-version":[{"id":146,"href":"https:\/\/people.unil.ch\/michalisvlachos\/wp-json\/wp\/v2\/pages\/10\/revisions\/146"}],"wp:attachment":[{"href":"https:\/\/people.unil.ch\/michalisvlachos\/wp-json\/wp\/v2\/media?parent=10"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}