Jan Ramon
Directeur de recherche epst
Laboratoire / équipe
Publications
{
"response":{
"numFound":36,
"start":0,
"numFoundExact":true,
"docs":[{
"citationRef_s":"<i>ACM workshop on information hiding and multimedia security</i>, ACM, Jun 2024, Vigo, Spain. pp.1-5, <a target=\"_blank\" href=\"https://dx.doi.org/10.1145/3658664.3659655\">⟨10.1145/3658664.3659655⟩</a>",
"citationFull_s":"Imane Taibi, Jan Ramon. Honest Fraction Differential Privacy. <i>ACM workshop on information hiding and multimedia security</i>, ACM, Jun 2024, Vigo, Spain. pp.1-5, <a target=\"_blank\" href=\"https://dx.doi.org/10.1145/3658664.3659655\">⟨10.1145/3658664.3659655⟩</a>. <a target=\"_blank\" href=\"https://inria.hal.science/hal-04610199v1\">⟨hal-04610199⟩</a>",
"title_s":["Honest Fraction Differential Privacy"],
"authFullName_s":["Imane Taibi","Jan Ramon"],
"halId_s":"hal-04610199",
"docType_s":"COMM",
"producedDateY_i":2024
},{
"citationRef_s":"<i>Logical Methods in Computer Science</i>, In press, Volume 20, Issue 1, <a target=\"_blank\" href=\"https://dx.doi.org/10.46298/lmcs-20(1:9)2024\">⟨10.46298/lmcs-20(1:9)2024⟩</a>",
"citationFull_s":"Florent Capelli, Nicolas Crosetti, Joachim Niehren, Jan Ramon. Linear Programs with Conjunctive Database Queries. <i>Logical Methods in Computer Science</i>, In press, Volume 20, Issue 1, <a target=\"_blank\" href=\"https://dx.doi.org/10.46298/lmcs-20(1:9)2024\">⟨10.46298/lmcs-20(1:9)2024⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-04317553v1\">⟨hal-04317553⟩</a>",
"title_s":["Linear Programs with Conjunctive Database Queries"],
"authFullName_s":["Florent Capelli","Nicolas Crosetti","Joachim Niehren","Jan Ramon"],
"halId_s":"hal-04317553",
"docType_s":"ART",
"producedDateY_i":2024
},{
"citationRef_s":"2024",
"citationFull_s":"Aleksei Korneev, Jan Ramon. Verifiable cross-silo federated learning. 2024. <a target=\"_blank\" href=\"https://hal.science/hal-04612305v1\">⟨hal-04612305⟩</a>",
"title_s":["Verifiable cross-silo federated learning"],
"authFullName_s":["Aleksei Korneev","Jan Ramon"],
"halId_s":"hal-04612305",
"docType_s":"OTHER",
"producedDateY_i":2024
},{
"citationRef_s":"Insa Lyon; Inria Lyon. 2023",
"citationFull_s":"Louise Bart, El Amine Bechorfa, Antoine Boutet, Jan Ramon, Carole Frindel. A Smartphone-based Architecture for Prolonged Monitoring of Gait. Insa Lyon; Inria Lyon. 2023. <a target=\"_blank\" href=\"https://hal.science/hal-04355370v1\">⟨hal-04355370⟩</a>",
"title_s":["A Smartphone-based Architecture for Prolonged Monitoring of Gait"],
"authFullName_s":["Louise Bart","El Amine Bechorfa","Antoine Boutet","Jan Ramon","Carole Frindel"],
"halId_s":"hal-04355370",
"docType_s":"REPORT",
"producedDateY_i":2023
},{
"citationRef_s":"<i>IEEE CSR 2P-DPA workshop - Workshop on Privacy-Preserving Data Processing and Analysis</i>, Jul 2023, Venice, Italy",
"citationFull_s":"Alberto Pedrouzo-Ulloa, Jan Ramon, Patrick Duflot, Fernando Pérez-González, Siyanna Lilova, et al.. Introducing the TRUMPET project: TRUstworthy Multi-site Privacy Enhancing Technologies. <i>IEEE CSR 2P-DPA workshop - Workshop on Privacy-Preserving Data Processing and Analysis</i>, Jul 2023, Venice, Italy. <a target=\"_blank\" href=\"https://inria.hal.science/hal-04092216v1\">⟨hal-04092216⟩</a>",
"title_s":["Introducing the TRUMPET project: TRUstworthy Multi-site Privacy Enhancing Technologies"],
"authFullName_s":["Alberto Pedrouzo-Ulloa","Jan Ramon","Patrick Duflot","Fernando Pérez-González","Siyanna Lilova","Zakaria Chihani","Nicola Gentili","Paola Ulivi","Mohammad Ashadul Hoque","Twaha Mukammel","Zeev Pritzker","Augustin Lemesle","Jaime Loureiro-Acuña","Xavier Martı́nez","Gonzalo Jiménez-Balsa"],
"halId_s":"hal-04092216",
"docType_s":"COMM",
"producedDateY_i":2023
},{
"citationRef_s":"<i>Molecular Informatics</i>, 2023, 42 (3), pp.2200232. <a target=\"_blank\" href=\"https://dx.doi.org/10.1002/minf.202200232\">⟨10.1002/minf.202200232⟩</a>",
"citationFull_s":"Leander Schietgat, Bertrand Cuissart, Kurt De Grave, Kyriakos Efthymiadis, Ronan Bureau, et al.. Automated detection of toxicophores and prediction of mutagenicity using PMCSFG algorithm. <i>Molecular Informatics</i>, 2023, 42 (3), pp.2200232. <a target=\"_blank\" href=\"https://dx.doi.org/10.1002/minf.202200232\">⟨10.1002/minf.202200232⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-03940446v1\">⟨hal-03940446⟩</a>",
"title_s":["Automated detection of toxicophores and prediction of mutagenicity using PMCSFG algorithm"],
"authFullName_s":["Leander Schietgat","Bertrand Cuissart","Kurt De Grave","Kyriakos Efthymiadis","Ronan Bureau","Bruno Crémilleux","Jan Ramon","Alban Lepailleur"],
"halId_s":"hal-03940446",
"docType_s":"ART",
"producedDateY_i":2023
},{
"citationRef_s":"<i>Proceedings on Privacy Enhancing Technologies</i>, In press, 2023 (2)",
"citationFull_s":"César Sabater, Florian Hahn, Andreas Peter, Jan Ramon. Private Sampling with Identifiable Cheaters. <i>Proceedings on Privacy Enhancing Technologies</i>, In press, 2023 (2). <a target=\"_blank\" href=\"https://inria.hal.science/hal-03904200v1\">⟨hal-03904200⟩</a>",
"title_s":["Private Sampling with Identifiable Cheaters"],
"authFullName_s":["César Sabater","Florian Hahn","Andreas Peter","Jan Ramon"],
"halId_s":"hal-03904200",
"docType_s":"ART",
"producedDateY_i":2023
},{
"citationRef_s":"<i>Machine Learning</i>, 2022, 112, pp.177-216. <a target=\"_blank\" href=\"https://dx.doi.org/10.1007/s10994-022-06281-x\">⟨10.1007/s10994-022-06281-x⟩</a>",
"citationFull_s":"Juan Aurelio Alvarado, Yuyi Wang, Jan Ramon. Limits of Multi-relational Graphs. <i>Machine Learning</i>, 2022, 112, pp.177-216. <a target=\"_blank\" href=\"https://dx.doi.org/10.1007/s10994-022-06281-x\">⟨10.1007/s10994-022-06281-x⟩</a>. <a target=\"_blank\" href=\"https://inria.hal.science/hal-03881631v1\">⟨hal-03881631⟩</a>",
"title_s":["Limits of Multi-relational Graphs"],
"authFullName_s":["Juan Aurelio Alvarado","Yuyi Wang","Jan Ramon"],
"halId_s":"hal-03881631",
"docType_s":"ART",
"producedDateY_i":2022
},{
"citationRef_s":"<i>Machine Learning</i>, 2022, <a target=\"_blank\" href=\"https://dx.doi.org/10.1007/s10994-022-06267-9\">⟨10.1007/s10994-022-06267-9⟩</a>",
"citationFull_s":"César Sabater, Aurélien Bellet, Jan Ramon. An Accurate, Scalable and Verifiable Protocol for Federated Differentially Private Averaging. <i>Machine Learning</i>, 2022, <a target=\"_blank\" href=\"https://dx.doi.org/10.1007/s10994-022-06267-9\">⟨10.1007/s10994-022-06267-9⟩</a>. <a target=\"_blank\" href=\"https://inria.hal.science/hal-03820603v2\">⟨hal-03820603v2⟩</a>",
"title_s":["An Accurate, Scalable and Verifiable Protocol for Federated Differentially Private Averaging"],
"authFullName_s":["César Sabater","Aurélien Bellet","Jan Ramon"],
"halId_s":"hal-03820603",
"docType_s":"ART",
"producedDateY_i":2022
},{
"citationRef_s":"<i>ICDT 2022 - 25th International Conference on Database Theory</i>, Mar 2022, Edinburgh, United Kingdom",
"citationFull_s":"Florent Capelli, Nicolas Crosetti, Joachim Niehren, Jan Ramon. Linear Programs with Conjunctive Queries. <i>ICDT 2022 - 25th International Conference on Database Theory</i>, Mar 2022, Edinburgh, United Kingdom. <a target=\"_blank\" href=\"https://hal.science/hal-01981553v1\">⟨hal-01981553⟩</a>",
"title_s":["Linear Programs with Conjunctive Queries"],
"authFullName_s":["Florent Capelli","Nicolas Crosetti","Joachim Niehren","Jan Ramon"],
"halId_s":"hal-01981553",
"docType_s":"COMM",
"producedDateY_i":2022
},{
"citationRef_s":"<i>NeurIPS 2021 Workshop Privacy in Machine Learning</i>, Dec 2021, Sydney (Virtual), Australia. <a target=\"_blank\" href=\"https://priml2021.github.io/\"></a>",
"citationFull_s":"César Sabater, Jan Ramon. Zero Knowledge Arguments for Verifiable Sampling. <i>NeurIPS 2021 Workshop Privacy in Machine Learning</i>, Dec 2021, Sydney (Virtual), Australia. <a target=\"_blank\" href=\"https://priml2021.github.io/\"></a>. <a target=\"_blank\" href=\"https://inria.hal.science/hal-03464840v1\">⟨hal-03464840⟩</a>",
"title_s":["Zero Knowledge Arguments for Verifiable Sampling"],
"authFullName_s":["César Sabater","Jan Ramon"],
"halId_s":"hal-03464840",
"docType_s":"POSTER",
"producedDateY_i":2021
},{
"citationRef_s":"<i>French health data hub's AI4Health Winter School</i>, Jan 2021, virtual, France",
"citationFull_s":"Moitree Basu, Jan Ramon. A method to translate privacy requirements into a configuration for privacy-preserving machine learning applied to multi-centric studies. <i>French health data hub's AI4Health Winter School</i>, Jan 2021, virtual, France. <a target=\"_blank\" href=\"https://inria.hal.science/hal-03964653v1\">⟨hal-03964653⟩</a>",
"title_s":["A method to translate privacy requirements into a configuration for privacy-preserving machine learning applied to multi-centric studies"],
"authFullName_s":["Moitree Basu","Jan Ramon"],
"halId_s":"hal-03964653",
"docType_s":"POSTER",
"producedDateY_i":2021
},{
"citationRef_s":"<i>NeurIPS 2020 workshop on Privacy Preserving Machine Learning - PriML and PPML Joint Edition</i>, Dec 2020, Vancouver (Virtual Workshop), Canada. <a target=\"_blank\" href=\"https://ppml-workshop.github.io/\"></a>",
"citationFull_s":"César Sabater, Aurélien Bellet, Jan Ramon. Distributed Differentially Private Averaging with Improved Utility and Robustness to Malicious Parties. <i>NeurIPS 2020 workshop on Privacy Preserving Machine Learning - PriML and PPML Joint Edition</i>, Dec 2020, Vancouver (Virtual Workshop), Canada. <a target=\"_blank\" href=\"https://ppml-workshop.github.io/\"></a>. <a target=\"_blank\" href=\"https://hal.science/hal-03117816v1\">⟨hal-03117816⟩</a>",
"title_s":["Distributed Differentially Private Averaging with Improved Utility and Robustness to Malicious Parties"],
"authFullName_s":["César Sabater","Aurélien Bellet","Jan Ramon"],
"halId_s":"hal-03117816",
"docType_s":"POSTER",
"producedDateY_i":2020
},{
"citationRef_s":"<i>ECML PKDD 2020 - Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases</i>, Sep 2020, Ghent / Virtual, Belgium",
"citationFull_s":"Jan Ramon, Moitree Basu. Interpretable privacy with optimizable utility. <i>ECML PKDD 2020 - Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases</i>, Sep 2020, Ghent / Virtual, Belgium. <a target=\"_blank\" href=\"https://inria.hal.science/hal-02950994v1\">⟨hal-02950994⟩</a>",
"title_s":["Interpretable privacy with optimizable utility"],
"authFullName_s":["Jan Ramon","Moitree Basu"],
"halId_s":"hal-02950994",
"docType_s":"COMM",
"producedDateY_i":2020
},{
"citationRef_s":"<i>Conférence sur l'Apprentissage Automatique 2020</i>, Jun 2020, Vannes (Virtual), France. <a target=\"_blank\" href=\"https://cap-rfiap2020.sciencesconf.org/\"></a>",
"citationFull_s":"César Sabater, Aurélien Bellet, Jan Ramon. Échange de bruit corrélé pour le calcul distribué de moyenne avec garanties de confidentialité différentielle. <i>Conférence sur l'Apprentissage Automatique 2020</i>, Jun 2020, Vannes (Virtual), France. <a target=\"_blank\" href=\"https://cap-rfiap2020.sciencesconf.org/\"></a>. <a target=\"_blank\" href=\"https://hal.science/hal-03117907v1\">⟨hal-03117907⟩</a>",
"title_s":["Échange de bruit corrélé pour le calcul distribué de moyenne avec garanties de confidentialité différentielle"],
"authFullName_s":["César Sabater","Aurélien Bellet","Jan Ramon"],
"halId_s":"hal-03117907",
"docType_s":"POSTER",
"producedDateY_i":2020
},{
"citationRef_s":"2020",
"citationFull_s":"César Sabater, Aurélien Bellet, Jan Ramon. Distributed Differentially Private Averaging with Improved Utility and Robustness to Malicious Parties. 2020. <a target=\"_blank\" href=\"https://inria.hal.science/hal-03100019v1\">⟨hal-03100019⟩</a>",
"title_s":["Distributed Differentially Private Averaging with Improved Utility and Robustness to Malicious Parties"],
"authFullName_s":["César Sabater","Aurélien Bellet","Jan Ramon"],
"halId_s":"hal-03100019",
"docType_s":"UNDEFINED",
"producedDateY_i":2020
},{
"citationRef_s":"<i>Proceedings of the National Academy of Sciences of the United States of America</i>, 2019, 116 (36), pp.18142-18147. <a target=\"_blank\" href=\"https://dx.doi.org/10.1073/pnas.1900548116\">⟨10.1073/pnas.1900548116⟩</a>",
"citationFull_s":"Anthony Coutant, Katherine Roper, Daniel Trejo-Banos, Dominique Bouthinon, Martin Carpenter, et al.. Closed-loop cycles of experiment design, execution, and learning accelerate systems biology model development in yeast. <i>Proceedings of the National Academy of Sciences of the United States of America</i>, 2019, 116 (36), pp.18142-18147. <a target=\"_blank\" href=\"https://dx.doi.org/10.1073/pnas.1900548116\">⟨10.1073/pnas.1900548116⟩</a>. <a target=\"_blank\" href=\"https://hal.sorbonne-universite.fr/hal-02297702v1\">⟨hal-02297702⟩</a>",
"title_s":["Closed-loop cycles of experiment design, execution, and learning accelerate systems biology model development in yeast"],
"authFullName_s":["Anthony Coutant","Katherine Roper","Daniel Trejo-Banos","Dominique Bouthinon","Martin Carpenter","Jacek Grzebyta","Guillaume Santini","Henry Soldano","Mohamed Elati","Jan Ramon","Céline Rouveirol","Larisa N Soldatova","Ross D King"],
"halId_s":"hal-02297702",
"docType_s":"ART",
"producedDateY_i":2019
},{
"citationRef_s":"2018",
"citationFull_s":"Jan Ramon. Exploiting traffic data. 2018. <a target=\"_blank\" href=\"https://inria.hal.science/hal-01879941v1\">⟨hal-01879941⟩</a>",
"title_s":["Exploiting traffic data"],
"authFullName_s":["Jan Ramon"],
"halId_s":"hal-01879941",
"docType_s":"OTHER",
"producedDateY_i":2018
},{
"citationRef_s":"<i>Bulletin of the Hellenic Mathematical Society</i>, 2018, 62, pp.31-43",
"citationFull_s":"Christos Pelekis, Jan Ramon, Yuyi Wang. On the Bernstein-Hoeffding method. <i>Bulletin of the Hellenic Mathematical Society</i>, 2018, 62, pp.31-43. <a target=\"_blank\" href=\"https://inria.hal.science/hal-01814651v1\">⟨hal-01814651⟩</a>",
"title_s":["On the Bernstein-Hoeffding method"],
"authFullName_s":["Christos Pelekis","Jan Ramon","Yuyi Wang"],
"halId_s":"hal-01814651",
"docType_s":"ART",
"producedDateY_i":2018
},{
"citationRef_s":"<i>PLoS ONE</i>, 2018, 13 (4), <a target=\"_blank\" href=\"https://dx.doi.org/10.1371/journal.pone.0195997\">⟨10.1371/journal.pone.0195997⟩</a>",
"citationFull_s":"Robrecht Cannoodt, Joeri Ruyssinck, Jan Ramon, Katleen de Preter, Yvan Saeys. IncGraph: Incremental graphlet counting for topology optimisation. <i>PLoS ONE</i>, 2018, 13 (4), <a target=\"_blank\" href=\"https://dx.doi.org/10.1371/journal.pone.0195997\">⟨10.1371/journal.pone.0195997⟩</a>. <a target=\"_blank\" href=\"https://inria.hal.science/hal-01814675v1\">⟨hal-01814675⟩</a>",
"title_s":["IncGraph: Incremental graphlet counting for topology optimisation"],
"authFullName_s":["Robrecht Cannoodt","Joeri Ruyssinck","Jan Ramon","Katleen de Preter","Yvan Saeys"],
"halId_s":"hal-01814675",
"docType_s":"ART",
"producedDateY_i":2018
},{
"citationRef_s":"<i>PLoS Computational Biology</i>, 2018, 14 (4), pp.1-21. <a target=\"_blank\" href=\"https://dx.doi.org/10.1371/journal.pcbi.1006097\">⟨10.1371/journal.pcbi.1006097⟩</a>",
"citationFull_s":"Leander Schietgat, Celine Vens, Jan Ramon, Ricardo Cerri, Carlos N Fischer, et al.. A machine learning based framework to identify and classify long terminal repeat retrotransposons. <i>PLoS Computational Biology</i>, 2018, 14 (4), pp.1-21. <a target=\"_blank\" href=\"https://dx.doi.org/10.1371/journal.pcbi.1006097\">⟨10.1371/journal.pcbi.1006097⟩</a>. <a target=\"_blank\" href=\"https://inria.hal.science/hal-01814669v1\">⟨hal-01814669⟩</a>",
"title_s":["A machine learning based framework to identify and classify long terminal repeat retrotransposons"],
"authFullName_s":["Leander Schietgat","Celine Vens","Jan Ramon","Ricardo Cerri","Carlos N Fischer","Eduardo Da Costa","Claudia M A Carareto","Hendrik Blockeel"],
"halId_s":"hal-01814669",
"docType_s":"ART",
"producedDateY_i":2018
},{
"citationRef_s":"<i>Data Mining and Knowledge Discovery</i>, 2018, 32, pp.913-948. <a target=\"_blank\" href=\"https://dx.doi.org/10.1007/s10618-018-0553-2\">⟨10.1007/s10618-018-0553-2⟩</a>",
"citationFull_s":"Irma Ravkic, Martiň Znidaršič, Jan Ramon, Jesse Davis. Graph sampling with applications to estimating the number of pattern embeddings and the parameters of a statistical relational model. <i>Data Mining and Knowledge Discovery</i>, 2018, 32, pp.913-948. <a target=\"_blank\" href=\"https://dx.doi.org/10.1007/s10618-018-0553-2\">⟨10.1007/s10618-018-0553-2⟩</a>. <a target=\"_blank\" href=\"https://inria.hal.science/hal-01725971v1\">⟨hal-01725971⟩</a>",
"title_s":["Graph sampling with applications to estimating the number of pattern embeddings and the parameters of a statistical relational model"],
"authFullName_s":["Irma Ravkic","Martiň Znidaršič","Jan Ramon","Jesse Davis"],
"halId_s":"hal-01725971",
"docType_s":"ART",
"producedDateY_i":2018
},{
"citationRef_s":"[Research Report] Inria. 2018",
"citationFull_s":"Pierre Dellenbach, Aurélien Bellet, Jan Ramon. Hiding in the Crowd: A Massively Distributed Algorithm for Private Averaging with Malicious Adversaries. [Research Report] Inria. 2018. <a target=\"_blank\" href=\"https://inria.hal.science/hal-01923000v1\">⟨hal-01923000⟩</a>",
"title_s":["Hiding in the Crowd: A Massively Distributed Algorithm for Private Averaging with Malicious Adversaries"],
"authFullName_s":["Pierre Dellenbach","Aurélien Bellet","Jan Ramon"],
"halId_s":"hal-01923000",
"docType_s":"REPORT",
"producedDateY_i":2018
},{
"citationRef_s":"<i>ALT 2017 - 28th conference on Algorithmic Learning Theory</i>, Oct 2017, Kyoto, Japan. pp.1 - 26",
"citationFull_s":"Yuyi Wang, Zheng-Chu Guo, Jan Ramon. Learning from Networked Examples. <i>ALT 2017 - 28th conference on Algorithmic Learning Theory</i>, Oct 2017, Kyoto, Japan. pp.1 - 26. <a target=\"_blank\" href=\"https://inria.hal.science/hal-02519274v1\">⟨hal-02519274⟩</a>",
"title_s":["Learning from Networked Examples"],
"authFullName_s":["Yuyi Wang","Zheng-Chu Guo","Jan Ramon"],
"halId_s":"hal-02519274",
"docType_s":"COMM",
"producedDateY_i":2017
},{
"citationRef_s":"<i>Molecular Informatics</i>, 2017, Special Issue: Chemoinformatics in France, 36 (10), <a target=\"_blank\" href=\"https://dx.doi.org/10.1002/minf.201700022\">⟨10.1002/minf.201700022⟩</a>",
"citationFull_s":"Julien Rabatel, Fannes Thomas, Alban Lepailleur, Jérémie Le Goff, Bruno Crémilleux, et al.. Non a Priori Automatic Discovery of 3D Chemical Patterns: Application to Mutagenicity. <i>Molecular Informatics</i>, 2017, Special Issue: Chemoinformatics in France, 36 (10), <a target=\"_blank\" href=\"https://dx.doi.org/10.1002/minf.201700022\">⟨10.1002/minf.201700022⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-01576894v1\">⟨hal-01576894⟩</a>",
"title_s":["Non a Priori Automatic Discovery of 3D Chemical Patterns: Application to Mutagenicity"],
"authFullName_s":["Julien Rabatel","Fannes Thomas","Alban Lepailleur","Jérémie Le Goff","Bruno Crémilleux","Jan Ramon","Ronan Bureau","Bertrand Cuissart"],
"halId_s":"hal-01576894",
"docType_s":"ART",
"producedDateY_i":2017
},{
"citationRef_s":"<i>ECML PKDD 2017 - European Conference on Machile Learning & Principles and Practice of Knowledge Discovery in Databases : workshop DMSC - Data Mining with Secure Computation</i>, Sep 2017, Skopje, Macedonia. pp.1-5",
"citationFull_s":"Thanh Le Van, Aurélien Bellet, Jan Ramon. Decentralised and Privacy-Aware Learning of Traversal Time Models. <i>ECML PKDD 2017 - European Conference on Machile Learning & Principles and Practice of Knowledge Discovery in Databases : workshop DMSC - Data Mining with Secure Computation</i>, Sep 2017, Skopje, Macedonia. pp.1-5. <a target=\"_blank\" href=\"https://inria.hal.science/hal-01666739v1\">⟨hal-01666739⟩</a>",
"title_s":["Decentralised and Privacy-Aware Learning of Traversal Time Models"],
"authFullName_s":["Thanh Le Van","Aurélien Bellet","Jan Ramon"],
"halId_s":"hal-01666739",
"docType_s":"COMM",
"producedDateY_i":2017
},{
"citationRef_s":"<i>ECML/PKDD 2017 - Workshop on Time-Dependent Large-Scale Graphs</i>, Sep 2017, Skopje, Macedonia",
"citationFull_s":"Jan Ramon. Learning from partly observable time- dependent graphs. <i>ECML/PKDD 2017 - Workshop on Time-Dependent Large-Scale Graphs</i>, Sep 2017, Skopje, Macedonia. <a target=\"_blank\" href=\"https://inria.hal.science/hal-01721301v1\">⟨hal-01721301⟩</a>",
"title_s":["Learning from partly observable time- dependent graphs"],
"authFullName_s":["Jan Ramon"],
"halId_s":"hal-01721301",
"docType_s":"COMM",
"producedDateY_i":2017
},{
"citationRef_s":"<i>Indagationes Mathematicae</i>, 2017, 28 (1), pp.170-182. <a target=\"_blank\" href=\"https://dx.doi.org/10.1016/j.indag.2016.11.017\">⟨10.1016/j.indag.2016.11.017⟩</a>",
"citationFull_s":"Christos Pelekis, Jan Ramon, Yuyi Wang. Hölder-type inequalities and their applications to concentration and correlation bounds. <i>Indagationes Mathematicae</i>, 2017, 28 (1), pp.170-182. <a target=\"_blank\" href=\"https://dx.doi.org/10.1016/j.indag.2016.11.017\">⟨10.1016/j.indag.2016.11.017⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-01421953v1\">⟨hal-01421953⟩</a>",
"title_s":["Hölder-type inequalities and their applications to concentration and correlation bounds"],
"authFullName_s":["Christos Pelekis","Jan Ramon","Yuyi Wang"],
"halId_s":"hal-01421953",
"docType_s":"ART",
"producedDateY_i":2017
},{
"citationRef_s":"<i>NIPS 2016 workshop on Private Multi-Party Machine Learning</i>, Dec 2016, Barcelone, Spain",
"citationFull_s":"Pierre Dellenbach, Jan Ramon, Aurélien Bellet. A Decentralized and Robust Protocol for Private Averaging over Highly Distributed Data. <i>NIPS 2016 workshop on Private Multi-Party Machine Learning</i>, Dec 2016, Barcelone, Spain. <a target=\"_blank\" href=\"https://inria.hal.science/hal-01384148v1\">⟨hal-01384148⟩</a>",
"title_s":["A Decentralized and Robust Protocol for Private Averaging over Highly Distributed Data"],
"authFullName_s":["Pierre Dellenbach","Jan Ramon","Aurélien Bellet"],
"halId_s":"hal-01384148",
"docType_s":"COMM",
"producedDateY_i":2016
},{
"citationRef_s":"<i>International Joint Conference on Artificial Intelligence (IJCAI)</i>, Jul 2016, New York, United States",
"citationFull_s":"Ondřej Kuželka, Yuyi Wang, Jan Ramon. Bounds for Learning from Evolutionary-Related Data in the Realizable Case. <i>International Joint Conference on Artificial Intelligence (IJCAI)</i>, Jul 2016, New York, United States. <a target=\"_blank\" href=\"https://hal.science/hal-01422033v1\">⟨hal-01422033⟩</a>",
"title_s":["Bounds for Learning from Evolutionary-Related Data in the Realizable Case"],
"authFullName_s":["Ondřej Kuželka","Yuyi Wang","Jan Ramon"],
"halId_s":"hal-01422033",
"docType_s":"COMM",
"producedDateY_i":2016
},{
"citationRef_s":"<i>Machine Learning</i>, 2016, Special Issue on Inductive Logic Programming, 103, pp.307 - 308. <a target=\"_blank\" href=\"https://dx.doi.org/10.1007/s10994-016-5561-0\">⟨10.1007/s10994-016-5561-0⟩</a>",
"citationFull_s":"Jesse Davis, Jan Ramon. Guest editors introduction: special issue on inductive logic programming. <i>Machine Learning</i>, 2016, Special Issue on Inductive Logic Programming, 103, pp.307 - 308. <a target=\"_blank\" href=\"https://dx.doi.org/10.1007/s10994-016-5561-0\">⟨10.1007/s10994-016-5561-0⟩</a>. <a target=\"_blank\" href=\"https://inria.hal.science/hal-01461445v1\">⟨hal-01461445⟩</a>",
"title_s":["Guest editors introduction: special issue on inductive logic programming"],
"authFullName_s":["Jesse Davis","Jan Ramon"],
"halId_s":"hal-01461445",
"docType_s":"ART",
"producedDateY_i":2016
},{
"citationRef_s":"9046, 2016, <a target=\"_blank\" href=\"https://dx.doi.org/10.1007/978-3-319-23708-4\">⟨10.1007/978-3-319-23708-4⟩</a>",
"citationFull_s":"Jesse Davis, Jan Ramon. Inductive Logic Programming. 9046, 2016, <a target=\"_blank\" href=\"https://dx.doi.org/10.1007/978-3-319-23708-4\">⟨10.1007/978-3-319-23708-4⟩</a>. <a target=\"_blank\" href=\"https://inria.hal.science/hal-01461460v1\">⟨hal-01461460⟩</a>",
"title_s":["Inductive Logic Programming"],
"authFullName_s":["Jesse Davis","Jan Ramon"],
"halId_s":"hal-01461460",
"docType_s":"OUV",
"producedDateY_i":2016
},{
"citationRef_s":"<i>Expert Review of Proteomics</i>, 2016, <a target=\"_blank\" href=\"https://dx.doi.org/10.1586/14789450.2016.1172967\">⟨10.1586/14789450.2016.1172967⟩</a>",
"citationFull_s":"Evelyne Maes, Pieter Kelchtermans, Wout Bittremieux, Kurt de Grave, Sven Degroeve, et al.. Designing biomedical proteomics experiments: state-of-the-art and future perspectives. <i>Expert Review of Proteomics</i>, 2016, <a target=\"_blank\" href=\"https://dx.doi.org/10.1586/14789450.2016.1172967\">⟨10.1586/14789450.2016.1172967⟩</a>. <a target=\"_blank\" href=\"https://inria.hal.science/hal-01431414v1\">⟨hal-01431414⟩</a>",
"title_s":["Designing biomedical proteomics experiments: state-of-the-art and future perspectives"],
"authFullName_s":["Evelyne Maes","Pieter Kelchtermans","Wout Bittremieux","Kurt de Grave","Sven Degroeve","Jef Hooyberghs","Inge Mertens","Geert Baggerman","Jan Ramon","Kris Laukens","Lennart Martens","Dirk Valkenborg"],
"halId_s":"hal-01431414",
"docType_s":"ART",
"producedDateY_i":2016
},{
"citationRef_s":"<i>25th International Conference on Inductive Logic Programming</i>, Katsumi Inoue, Hayato Ohwada, Akihiro Yamamoto, Aug 2015, Kyoto, Japan",
"citationFull_s":"Ondřej Kuželka, Jan Ramon. Mine 'Em All: A Note on Mining All Graphs. <i>25th International Conference on Inductive Logic Programming</i>, Katsumi Inoue, Hayato Ohwada, Akihiro Yamamoto, Aug 2015, Kyoto, Japan. <a target=\"_blank\" href=\"https://hal.science/hal-01321448v1\">⟨hal-01321448⟩</a>",
"title_s":["Mine 'Em All: A Note on Mining All Graphs"],
"authFullName_s":["Ondřej Kuželka","Jan Ramon"],
"halId_s":"hal-01321448",
"docType_s":"COMM",
"producedDateY_i":2015
},{
"citationRef_s":"<i>6èmes journées de la Société Française de Chémoinformatique</i>, Oct 2013, Nancy, France",
"citationFull_s":"Leander Schietgat, Bertrand Cuissart, Alban Lepailleur, Kurt de Grave, Bruno Crémilleux, et al.. Comparing chemical fingerprints for ecotoxicology. <i>6èmes journées de la Société Française de Chémoinformatique</i>, Oct 2013, Nancy, France. <a target=\"_blank\" href=\"https://hal.science/hal-01023845v1\">⟨hal-01023845⟩</a>",
"title_s":["Comparing chemical fingerprints for ecotoxicology"],
"authFullName_s":["Leander Schietgat","Bertrand Cuissart","Alban Lepailleur","Kurt de Grave","Bruno Crémilleux","Ronan Bureau","Jan Ramon"],
"halId_s":"hal-01023845",
"docType_s":"COMM",
"producedDateY_i":2013
},{
"citationRef_s":"<i>The 28th International Conference on Logic Programming (ICLP'12)</i>, Sep 2012, Hungary. pp.14-25",
"citationFull_s":"Hendrik Blockeel, Bart Bogaerts, Maurice Bruynooghe, Broes de Cat, Stef de Pooter, et al.. Modeling Machine Learning and Data Mining Problems with FO(*). <i>The 28th International Conference on Logic Programming (ICLP'12)</i>, Sep 2012, Hungary. pp.14-25. <a target=\"_blank\" href=\"https://hal.science/hal-00731459v1\">⟨hal-00731459⟩</a>",
"title_s":["Modeling Machine Learning and Data Mining Problems with FO(*)"],
"authFullName_s":["Hendrik Blockeel","Bart Bogaerts","Maurice Bruynooghe","Broes de Cat","Stef de Pooter","Marc Denecker","Anthony Labarre","Jan Ramon","Sicco Verwer"],
"halId_s":"hal-00731459",
"docType_s":"COMM",
"producedDateY_i":2012
}]
}
}