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BEGIN:VEVENT
DTSTART;VALUE=DATE:20181205
DTEND;VALUE=DATE:20181207
DTSTAMP:20181127T161358Z
CREATED:20181127T161357Z
LAST-MODIFIED:20181127T161358Z
UID:6267-1543968000-1544140799@www.loria.fr
SUMMARY:QCM-BioChem days
DESCRIPTION:On the 5 and 6 of December\, the LORIA will host the meetings of the Mastodons Project: \nQCM-BioChem: Quality in Consensualizing and Mining biological and chemical datasets \nThe QCM-BioChem consortium is the result of the fusion of 3 Mastodons projects (QualiBioConsensus\, HyQual and DECADE) and that aims to address and tackle challenges arising from the large and wide variety of biological and chemical data as well as the different methodologies in knowledge discovery. The novelty of the approaches developed in QCM-BioChem relies on the consideration and explanation of quality criteria in terms of data\, and methods for data mining and data analysis. For further details:https://www.lri.fr/~cohen/QCM-BioChem.html \nThis meeting days will comprise 2 keynote presentations\,\n-Antti Kuusisto on December 5 at 14h00\, Room B013\n-Jérôme Lang on December 6 at 14h00\, Room C005\nfollowed by several contributed presentations. \nProgram of December 5 (room B013): \n14h00-15h00: Antti Kuusisto (Tampere University of Technology)\nTitle: Computational Logics – A Theoretical Perspective \n15h15-15h45: Arnaud Soulet (LI\, Université de Tours)\nTitle: Representativeness of knowledge bases with the generalized Benford’s Law \n15h45-16h15: Coffee break \n16h15-16h45: Tatiana Makahlova (LORIA\, Université de Lorraine)\nTitle: The Application of MDL in the Mining of Numerical Data \n17h00-17h45: Sylvie Hamel (Université de Montréal)\nTitle: Space reduction techniques for the median of permutations problem \nProgram of December 6 (room C005): \n10h00-10h45: Henry Soldano (LIPN\, Université Paris-Nord)\nTitle: Bi-pattern mining of attributed two-mode and directed networks \n10h45-11h00: Coffee break \n11h00-11h30: Lamine Diop (LI\, Université de Tours)\nTitle: Sequential Pattern Sampling with Norm Constraints \n11h45-12h15: Nyoman Juniarta (LORIA\, Université de Lorraine)\nTitle: Application of Biclustering to the discovery of constant and gradual Patterns \n12h30-14h00: Lunch break \n14h00-15h00: Jérôme Lang (LAMSADE\, Université Paris-Dauphine)\nTitle: From social choice to preference learning \n15h00-15h30: Coffee break \n15h30-16h00: Guilherme Alves (LORIA\, Université de Lorraine)\nTitle: A framework for online clustering based on evolving semi-supervision \n16h15-16h45: Kevin Dalleau (LORIA\, Université de Lorraine)\nTitle: Tackling (some) preprocessing issues using unsupervised extremely randomized trees \n======================================= \nThe complete program together with the abstracts\, of all presentations of this event can be found at:\nhttps://malotec.loria.fr/journees-mastodons-qcm-biochem
URL:https://www.loria.fr/event/qcm-biochem-days/
CATEGORIES:Séminaire
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BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20181205T140000
DTEND;TZID=Europe/Paris:20181205T153000
DTSTAMP:20181130T150405Z
CREATED:20181130T150405Z
LAST-MODIFIED:20181130T150405Z
UID:6286-1544018400-1544023800@www.loria.fr
SUMMARY:TALC Seminar : Chloé Braud (Synalp)
DESCRIPTION:Next TALC Seminar will take place on Wednesday\, December 5th at 2pm in room A008. \nChloé Braud (Synalp) will give a presentation entitled « Transfer learning for discourse parsing ». \n \nAbstract:\nDiscourse structures describe the organization of documents in terms of discourse or rhetorical relations (such as « Explanation » or « Contrast ») linking clauses and sentences. Discourse analysis could be useful for various downstream applications\, such as automatic summarization\, question-answering or sentiment analysis. However\, the range of applications and the performance are still limited by the low scores of the existing discourse parsers and their focus on English. \nDiscourse parsing is known to be a hard task: It involves several complex and interacting factors\, touching upon all layers of linguistic analysis\, from syntax\, semantics up to pragmatics. Consequently\, also annotation is complex and time consuming\, and hence available annotated corpora are sparse and limited in size. \nIn this presentation\, I will present attempts to tackle these issues using transfer learning strategies. First\, I will describe experiments on identifying implicit discourse relations (i.e. lacking a discourse connective such as « but » or « because ») by transferring knowledge from the explicit examples to the implicit ones\, either by augmenting the size of the training set\, or by building a task-tailored representation of the words.I will then present two full discourse parsers. The first one involves a combination of several corpora annotated for different languages\, leading to improvements on English and to the first systems for Basque and Dutch developed without any training data. The second parser relies on multi-task learning to transfer information among several discourse related tasks.
URL:https://www.loria.fr/event/talc-seminar-chloe-braud-synalp/
CATEGORIES:Séminaire
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BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20181207T100000
DTEND;TZID=Europe/Paris:20181207T113000
DTSTAMP:20181130T145539Z
CREATED:20181130T145532Z
LAST-MODIFIED:20181130T145539Z
UID:6283-1544176800-1544182200@www.loria.fr
SUMMARY:D4 Seminar : Philippe Muller (IRIT\, Toulouse)
DESCRIPTION:Next D4 Seminar will take place on Friday\, December 7th at 10am in room A008. \nPhilippe Muller (IRIT\, Toulouse) will give a presentation entitled « Sentential distributional semantics: Learning semantic sentence representations and their compositions ». \n \nAbstract: \n(Joint work with Damien Sileo et Tim van de Cruys) \nDistributional semantics aims at automatic representation of textual semantic content based on the observation of a large representative corpus. There is a large body of work on lexical distributional semantics\, based on the assumption that words appearing in similar contexts should have similar semantic representations. This popularized the representation of words as vectors in a semantic space.More recently\, a lot of effort in the NLP field has been devoted to building similar representations for sentences\, or even larger textual elements. \nThis raises several questions: how to build sentence representations from word representations in vector spaces\, preferably in a compositional manner\, and how to guide the representations so that they capture important semantic aspect at the sentence level?Arguably\, sequential compositional models such as recurrent neural network offer a simple composition at the lexical level that can be used in supervised settings to make accurate predictions in textual classification\, while building a representation of the sentential context in their internal state. This is however specific to each task\, and researchers have tried to find ways of building so-called « universal » sentence representations\, or more exactly transferable representations. In this perspective several settings have been proposed that evokes supervised distributional approaches at the word level\, with auxilliary tasks that could induce semantically relevant representations at the sentence level: for instance trying to predict if two sentences follow each other in a text\, or if one is a consequence of the other. These in turn must compose the two sentences in a way that allows for the learning of their relationships. Composition of representations is also important in all tasks that involve predicting a relation between a pair of textual elements: sentence similarity\, entailment\, discourse relations.\nThe compositions considered in NLP are often quite superficial\, and we will show more expressive compositions by taking inspiration from Statistical Relational Learning. Moreover we propose an unsupervised training task to induce sentence representations\, based on the prediction of discourse connections between sentences in a large corpus.
URL:https://www.loria.fr/event/d4-seminar-philippe-muller/
CATEGORIES:Séminaire
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20181214
DTEND;VALUE=DATE:20181215
DTSTAMP:20181206T080349Z
CREATED:20181119T114036Z
LAST-MODIFIED:20181206T080349Z
UID:6221-1544745600-1544831999@www.loria.fr
SUMMARY:Department 3 PhD day
DESCRIPTION:Departement 3 organizes its annual PhD Day on Friday\, December 14th in room C005\, to allow all the PhD students of the department to present their ongoing work and to share their experiences. \nSchedule \nProgram: \n\n\n\n9:00 – 9:05 Welcome (Ye-Qiong Song) \n9:05 – 10:30 session 1: Modeling\, simulation and experimental methods \nBéatrice Linot (20’ + 5’ Q&A)\nTrust in Computer-Supported crisis management information sharing \nThomas Paris (20’ + 5’ Q&A)\nComplex system modeling by composition \nAbdulqawi Saif (20’ + 5’ Q&A)\nContributions of experimental methods for I/O systems and testbed experiments \nJean-Baptiste Wiart (5’)\nDefinition of a domain specific language for the cosimulation of microgrid powered hydrogen \nThéo Docquier (5’)\nDesign\, modeling and co-simulation of real-time industrial IoT for smart grids \n10:30 – 10:50 coffee break \n10:50 – 12:00 session 2: Internet of Things\, SDN and security \nMingxiao Ma (20’ + 5’ Q&A)\nStudy of Synchronization Attacks on Distributed and Cooperative Control in Microgrid Systems \nGrégoire Denis (5’)\nMalicious attacks detection and resilience in cyber-physical systems through joint dynamic resource scheduling and synthesis of adaptive control laws \nAdrien Hemmer (5’)\nPredictive Security Monitoring for Large-Scale Internet-of-Things \nAbir LARABA (5’)\nData-Driven Intelligent Monitoring for Software-Defined Networks \nAhmad ABBOUD (5’)\nCompressed and Verifiable Filtering Rules in Software-defined Networking \n\n\n\n\n\n\nVirgile Dauge (20’ + 5’ Q&A)\nSystèmes Cyber-Physiques autonomes et communicants en milieux hostiles. Application à l’exploration par robots mobiles \n12:00 – 12:30 Invited session \nProf. Enrico Natalizio (25’ + 5’ Q&A)\n5G and UAVs: synergies to exploit for an Internet of Intelligent Things \n12:30 – 14:00 Buffet & Discussion \n14:00 – 15:15 session 3: Security \nHoang-Long Nguyen (20’ + 5’ Q&A)\nTransparency Approach using Blockchain to End to End Encryption (E2EE) \nNicolas Schnepf (20’ + 5’ Q&A)\nOrchestration and verification of security functions for smart environments \nVictorien Elvinger (20’ + 5’ Q&A)\nPrunable tamper-evident log in peer-to-peer systems \n15:15 – 15:30 coffee break \n15:30 – 17:10 session 4: Safety\, Performance and Optimization \nLouis Viard (20’ + 5’ Q&A)\nMonitor-Centric Mission Definition For Cyber-Physical Systems \nQuentin Laporte-Chabasse (20’ + 5’ Q&A)\nA topological characterisation of peer-to-peer inter-organisational collaboration \nBilal Messaoudi (20’ + 5’ Q&A)\nMultiple periods vehicle routing problems: a case study \nHoai-Le NGUYEN (20’ + 5’ Q&A)\nStudying group performance and behavior in collaborative editing
URL:https://www.loria.fr/event/department-3-phd-day-2/
CATEGORIES:Séminaire
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20181220T133000
DTEND;TZID=Europe/Paris:20181220T150000
DTSTAMP:20181218T160836Z
CREATED:20181218T160836Z
LAST-MODIFIED:20181218T160836Z
UID:6342-1545312600-1545318000@www.loria.fr
SUMMARY:Séminaire SSL
DESCRIPTION:Next SSL Seminar will take place on Thursday\, December 20th at 1.30 pm in room C005. \nTayssir Touili (CNRS – LIPN) will give a presentation entitled « On static malware detection ». \n \nThe number of malware is growing extraordinarily fast. A malware may bring serious damage.\nThus\, it is crucial to have efficient up-to-date virus detectors. A robust malware detection technique needs  to check the behavior (not\nthe syntax) of the program without executing it. We show in this talk how using behavior  signatures allow to efficiently detect malwares in a completely static way. We applied  our techniques to detect several malwares. Our  tool was able to detect more than 800 malwares. Several of these malwares could not be detected by well-known anti-viruses such as Avira\, Avast\, Norton\, Kaspersky and McAfee
URL:https://www.loria.fr/event/seminaire-ssl/
CATEGORIES:Séminaire
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