Liste des publications relatives aux projets financés par DigiCosme
2020
C. Mercier, S. Rousseau, P. Gori, I. Bloch, T. Boubekeur. QFib: Fast and Efficient Brain Tractogram Compression. Neuroinformatics, 18(4):627– 640, 2020
Adjali O., Besançon R., Ferret O., Le Borgne H., Grau B. (2020) Multimodal Entity Linking for Tweets. In: Jose J. et al. (eds) Advances in Information Retrieval. ECIR 2020. Lecture Notes in Computer Science, vol 12035. Springer, Cham. https://doi.org/10.1007/978-3-030-45439-5_31
Adjali, R. Besançon, O. Ferret, H. Le Borgne and B. Grau, (2020) Building a Multimodal Entity Linking Dataset From Tweets, 12th International Conference on Language Resources and Evaluation (LREC), Marseille, France, May 2020
Maroua Bahri, Albert Bifet, Silviu Maniu, Rodrigo Fernandes de Mello, Nikolaos Tziortziotis: Compressed k-Nearest Neighbors Ensembles for Evolving Data Streams. ECAI 2020: 961-968
Maroua Bahri, Bernhard Pfahringer, Albert Bifet, Silviu Maniu: Efficient Batch-Incremental Classification Using UMAP for Evolving Data Streams. IDA 2020: 40-53
Maroua Bahri, Albert Bifet, Silviu Maniu, Heitor Murilo Gomes: Survey on Feature Transformation Techniques for Data Streams. IJCAI 2020: 4796-4802
Maroua Bahri, Heitor Murilo Gomes, Albert Bifet, Silviu Maniu: CS-ARF: Compressed Adaptive Random Forests for Evolving Data Stream Classification. IJCNN 2020: 1-8
Hutin, Mathilde, Jatteau, Adèle, Vasilescu, Ioana, Lamel, Lori, Adda-Decker, Martine. Ongoing Phonologization of word-final voicing alternations in two Romance languages: Romanian and French. Proceedings of Interspeech 2020.
Hutin, Mathilde, Jatteau, Adèle, Vasilescu, Ioana, Lamel, Lori, Adda-Decker, Martine. 2020. Le schwa final en français standard est-il un “lubrifiant phonétique” ? Actes du 7e Congrès Mondial de Linguistique Française – CMLF 2020. SHS Web of Conferences 78, 09004. Montpellier, France. <hal-02931786>
Hutin, Mathilde, Jatteau, Adèle, Vasilescu, Ioana, Lamel, Lori, Adda-Decker, Martine. 2020. Lénition et fortition des occlusives en codas dans deux langues romanes : le roumain et le français. Actes de JEP-TALN-RECITAL 6 (JEP 31): 289-298. 8-19 juin 2020. Nancy, France <hal-02798551>
Hutin, Mathilde, Niculescu, Oana, Vasilescu, Ioana, Lamel, Lori, Adda-Decker, Martine. 2020. Lenition and fortition of stop codas in Romanian. In Dorothee Beermann, Laurent Besacier, Sakriani Sakti, and Claudia Soria (eds), Proceedings of the 1st Joint SLTU and CCURL Workshop (SLTU-CCURL 2020): 226-234. Language Resources and Evaluation Conference (LREC 2020), Marseille, 11–16 May 2020 <hal-02571909>
Tuan-Binh Nguyen, Jérôme-Alexis Chevalier, Bertrand Thirion, Sylvain Arlot 37th International Conference on Machine Learning, PMLR 119, 2020, Jul 2020, Vienne, Austria Statistical control for spatio-temporal MEG/EEG source imaging with desparsified multi-task Lasso. Jérôme-Alexis Chevalier, Alexandre Gramfort, Joseph Salmon, Bertrand Thirion. NeurIPS 2020 https://arxiv.org/abs/2009.14310
Fatiha Saïs, Joana E. Gonzales Malaverri, Gianluca Quercini: MOMENT: temporal meta-fact generation and propagation in knowledge graphs. In proceedings of the 35th ACM/SIGAPP Symposium On Applied Computing – Semantic Web and Applications track (SWA), pages: 2039-2048, Brno, Czech Republic March 30-April 3, 2020.
M. De Bois, M. A. El Yacoubi, M. Ammi. Interpreting Deep Glucose Predictive Models for Diabetic People Using RETAIN. arXiv preprint arXiv:2009.04524, accepté à International Conference on Pattern Recognition and Artificial Intelligence, 2020.
M. De Bois. Multi-source adversarial transfer learning in glucose prediction for type-2 diabetic patients, 2020. URL https://github.com/dotXem/GlucosePredictionATL. DOI : 10.5281/zenodo.3699846.
M. De Bois. Interpreting deep glucose predictive models through the retain architecture, 2020. URL https://github.com/dot DOI : 10.5281/zenodo.3951702.
M. De Bois. Integration of clinical criteria into the training of deep models : Application to glucose prediction for diabetic people, 2020. URL https://github.com/dotXem/DeepClinicalGlucosePrediction. DOI : 10.5281/zenodo.3904234.
2019
Maxime de Bois: “Internet des Objets pour le suivi et la modélisation de la glycémie de patients diabétiques. (Internet of Things for the monitoring and modeling of blood sugar of diabetic patients)”, Ph.D. Thesis, Université Paris-Saclay, France, Dec 2019
Jean Paul Barddal, Fabrício Enembreck, Heitor Murilo Gomes, Albert Bifet and Bernhard Pfahringer.
Merit-guided dynamic feature selection filter for data streams.
In: Expert Syst. Appl. 116: 227-242, 2019
Abhik Ray, Lawrence B. Holder and Albert Bifet.
Efficient frequent subgraph mining on large streaming graphs.
In: Intell. Data Anal. 23(1): 103-132, 2019
Gordana Draskovic, Frédéric Pascal and Florence Tupin.
M-NL: Robust NL-means approach for PolSAR images denoising.
In: IEEE Geoscience and Remote Sensing Letters, 2019
Stefi Nouleho llemo, Dominique Barth, Olivier David, Franck Quessette, Marc-Antoine Weisser and Dimitri Watel.
Improving graphs of cycles approach to structural similarity of molecules.
In: Plos One, 2019
Adil Salim, Pascal Bianchi and Walid Hachem.
Snake: A stochastic proximal gradient algorithm for regularized problems over large graphs.
In: IEEE Transactions on Automatic Control, 2019
Sylvain Rousseau, Corentin Mercier, Pietro Gori, Isabelle Bloch and Tamy Boubekeur.
QFib: Fast and Accurate Compression of White Matter Tractograms.
In: OHBM, 2019
Jean Feydy, Pierre Roussillon, Alain Trouvé, Pietro Gori.
Fast and Scalable Optimal Transport for Brain Tractograms.
In: MICCAI, 2019
Jean Feydy, Pierre Roussillon, Alain Trouvé and Pietro Gori.
Fast and scalable optimal transport for brain tractograms.
In:Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 11766 LNCS:636–644, 2019.
Alessandro Delmonte, Corentin Mercier, Johan Pallud, Isabelle Bloch and Pietro Gori.
White matter multi-resolution segmentation using fuzzy set theory.
In: IEEE ISBI, 2019
P. Roussillon, J.M. Thiery, I. Bloch and P. Gori.
Appariement difféomorphique robuste de faisceaux neuronaux.
In: GRETSI, 2019
A. Delmonte, C. Mercier, J. Pallud, I. Bloch and P. Gori.
White matter multi-resolution segmentation using fuzzy set theory.
In: IEEE ISBI, 2019
S. Rousseau, C. Mercier, P. Gori, I. Bloch and T. Boubekeu.
QFib: Fast and Accurate Compression of White Matter Tractograms.
In: OHBM, 2019
Rodrigo Fernandes de Mello, Yule Vaz, Carlos Henrique Grossi Ferreira and Albert Bifet.
On learning guarantees to unsupervised concept drift detection on data streams.
In: Expert Syst. Appl. 117: 90-102, 2019
Rodrigo Fernandes de Mello, Chaitanya Manapragada and Albert Bifet.
Measuring the Shattering coefficient of Decision Tree models.
In:Expert Syst. Appl. 137: 443-452, 2019
Robert Anderson, Yun Sing Koh, Gillian Dobbie and Albert Bifet.
Recurring concept meta-learning for evolving data streams.
In:Expert Syst. Appl. 138, 2019
Minh-Huong Le Nguyen, Heitor Murilo Gomes and Albert Bifet.
Semi-supervised Learning over Streaming Data using MOA.
In:BigData. 553-562, 2019
Heitor Murilo Gomes, Rodrigo Fernandes de Mello, Bernhard Pfahringer and Albert Bifet. Feature Scoring using Tree-Based Ensembles for Evolving Data Streams.
In:BigData. 761-769, 2019
Heitor Murilo Gomes, Jesse Read, Albert Bifet, Jean Paul Barddal and João Gama.
Machine learning for streaming data: state of the art, challenges, and opportunities.
In: SIGKDD Explorations 21(2): 6-22, 2019
Heitor Murilo Gomes, Jesse Read and Albert Bifet.
Streaming Random Patches for Evolving Data Stream Classification.
In:ICDM.240-249, 2019
Heitor Murilo Gomes, Albert Bifet, Philippe Fournier-Viger, Jones Granatyr and Jesse Read.
Network of Experts: Learning from Evolving Data Streams Through Network-Based Ensembles.
In:ICONIP (1).704-716, 2019
Heitor Murilo Gomes, Rodrigo Fernandes de Mello, Bernhard Pfahringer and Albert Bifet.
Feature Scoring using Tree-Based Ensembles for Evolving Data Streams.
In: BigData. 761-769, 2019
Dihia Boulegane, Albert Bifet and Giyyarpuram Madhusudan.
Arbitrated Dynamic Ensemble with Abstaining for Time-Series Forecasting on Data Streams.
In:BigData. 1040-1045, 2019
Dihia Boulegane, Nedeljko Radulovic, Albert Bifet, Ghislain Fiévet, Jimin Sohn, Yeonwoo Nam, Seojeong Yu and Dong-Wan Choi.
Real-Time Machine Learning Competition on Data Streams.
In: IEEE Big Data. 3493-3497, 2019
Luis Eduardo Boiko Ferreira, Heitor Murilo Gomes, Albert Bifet and Luiz S. Oliveira.
Adaptive Random Forests with Resampling for Imbalanced data Streams.
In:IJCNN.1-6, 2019
Guilherme Weigert Cassales, Hermes Senger, Elaine Ribeiro de Faria and Albert Bifet.
IDSA-IoT: An Intrusion Detection System Architecture for IoT Networks.
In: ISCC. 1-7, 2019
M. De Bois, M. El-Yacoubi and M. Ammi.
Model Fusion to Enhance the Clinical Acceptability of Long-Term Glucose Predictions.
In: International Conference on Neural Information Processing (ICONIP), 2019
M. De Bois, M. El-Yacoubi and M. Ammi.
Model Fusion to Enhance the Clinical Acceptability of Long-Term Glucose Predictions.
In: IEEE International Conference on Bioinformatics and Bioengineering (IEEE BIBE), 2019
M. De Bois, M. El-Yacoubi and M. Ammi.
Study of Short-Term Personalized Glucose Predictive Models in Diabetes.
In: International Joint Conference on Neural Networks (IJCNN), 2019
Yujiro Okuya.
CAD Modification Techniques for Design Reviews on Heterogeneous Interactive Systems.
In: VENISE team at CNRS-LIMSI & ExSitu Inria at LRI. PhD dissertation. STIC Doctoral School, University of Paris-Sud, 2019
Fatiha Saïs, Joana E. Gonzales Malaverri and Gianluca Quercini.
Fact Validity Time Generation and Expansion in Knowledge Graphs.
In:Proceedings of the second International Workshop on Hybrid Question Answering with Structured and Unstructured Knowledge, colocated with K-CAP, 2019
Joana Gonzales Malaverri, Fatiha Saïs and Gianluca Quercini.
Enriching Knowledge Bases with Temporal Meta-facts.
In:Proceedings of the 1st Workshop « VERITA : Veracity in Data », 2019
Kinkeldey, Christoph, Jean-Daniel Fekete, Tanja Blaschek and Petra Isenberg.
Visualizing and Analyzing Entity Activity on the Bitcoin Network.
In: arXiv preprint arXiv:1912.08101, 2019
J. B. Borges, H. S. Ramos, R. A. F. Mini, A. C. Viana and A. A. F. Loureiro.
The quest for sense: Physical Phenomena Classification in the Internet of Things.
In: ISIoT(1st Int. Workshop on Intelligent Systems for the Internet of Things) jointly with IEEE DCOSS, 2019
D. Kuske and G. Zetzsche.
Languages ordered by the subword order.
In:Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11425 LNCS:348– 364, 2019
Andre Manoel, Florent Krzakala, Gaël Varoquaux, Bertrand Thirion and Lenka Zdeborová.
Approximate message-passing for convex optimization with non-separable penalties.
In:arXiv:1809.06304, 2019
T.-B. Nguyen, J.-A. Chevalier, and B. Thirion.
Ecko: Ensemble of clustered knockoffs for robust multivariate inference on fmri data.
In:Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11492 LNCS:454–466, 2019
S. Schechtman, A. Salim, and P. Bianchi.
Passty Langevin.
CAp, 2019
A. Salim.
On Stochastic Primal-Dual Algorithms.
ICCOPT, 2019
J.P. Ono, A. Gjoka, J. Salamon, C. Dietrich and C.T. Silva.
Historytracker: Minimizing human interactions in baseball game annotation.
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019
2018
Yujiro Okuya, Nicolas Ladeveze, Olivier Gladin, Cédric Fleury, Patrick Bourdot.
Distributed Architecture for Remote Collaborative Modification of Parametric CAD Data.
IEEE VR International Workshop on 3D Collaborative Virtual Environments (3DCVE 2018), Germany 2018.
Thomas Rebele, Thomas Pellissier Tanon, Fabian M. Suchanek.
Bash Datalog: Answering Datalog Queries with Unix Shell Commands.
International Semantic Web Conference (ISWC), 2018
Thomas Rebele, Katerina Tzompanaki, Fabian M. Suchanek.
Adding Missing Words to Regular Expressions.
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2018
Pascal Bianchi, Walid Hachem, Adil Salim.
A constant step Forward-Backward algorithm involving random maximal monotone operators.
Journal of Convex Analysis, March 2018.
Pascal Bianchi, Walid Hachem, Adil Salim.
Constant Step Stochastic Approximations Involving Differential Inclusions: Stability, Long-Run Convergence and Applications.
To be published in Stochastics, May 2018.
Nicolas Kourtellis, Gianmarco De Francisci Morales, Albert Bifet.
Large-Scale Learning from Data Streams with Apache SAMOA.
CoRR abs/1805.11477 (2018)
Jérôme-Alexis Chevalier, Joseph Salmon, Bertrand Thirion.
Statistical Inference with Ensemble of Clustered Desparsified Lasso.
MICCAI 2018.
Jérôme-Alexis Chevalier, Joseph Salmon, Bertrand Thirion.
Statistical Inference on Structured Data.
SFdS 2018.
Jacob Montiel, Jesse Read, Albert Bifet, Talel Abdessalem.
Scikit-Multiflow: A Multi-output Streaming Framework.
CoRR abs/1807.04662 (2018)
Corentin Mercier, Pietro Gori, Damien Rohmer, Marie-Paule Cani, Tamy Boubekeur, Jean-Marc Thiery, Isabelle Bloch
Progressive and Efficient Multi-Resolution Representations for Brain Tractograms.
Eurographics Workshop on Visual Computing for Biology and Medicine (EG VCBM). 2018
Andrian Putina, Steven Barth, Albert Bifet, Drew Pletcher, Cristina Precup, Patrice Nivaggioli, Dario Rossi.
Unsupervised real-time detection of BGP anomalies leveraging high-rate and fine-grained telemetry data.
INFOCOM Workshops 2018:1-2
Andrian Putina, Dario Rossi, Albert Bifet, Steven Barth, Drew Pletcher, Cristina Precup, Patrice Nivaggioli.
Telemetry-based stream-learning of BGP anomalies.
Big-DAMA@SIGCOMM 2018:15-20
Albert Bifet, Ricard Gavalda, Geoff Holmes, Bernhard Pfahringer.
Machine Learning from Data Streams.
MIT Press, 2018.
Albert Bifet, Jesse Read.
Ubiquitous Artificial Intelligence and Dynamic Data Streams.
DEBS 2018:1-6
Alessandro Delmonte, Isabelle Bloch, Dominique Hasboun, Corentin Mercier, Johan Pallud, Pietro Gori.
Segmentation of White Matter Tractograms Using Fuzzy Spatial Relations.
Organization for Human Brain Mapping (OHBM), Jun 2018, Singapore, Singapore.
Adil Salim, Pascal Bianchi, Walid Hachem.
Snake: a Stochastic Proximal Gradient Algorithm for Regularized Problems over Large Graphs.
IEEE Trans. on Autom. Control, Novembre 2018
2017
Yifan Yang, Jamal Atif, Isabelle Bloch.
Raisonnement abductif en logique de description exploitant les domaines concrets spatiaux pour l’interpretation d’images.
Revue d’Intelligence Artificielle, 31(1-2):11-39,2017.
Thomas Rebele, Arash Nekoei, Fabian M. Suchanek.
Using YAGO for the Humanities.
Workshop on Humanities in the Semantic Web (WHISE), 2017
Thomas Rebele, Katerina Tzompanaki, Fabian M. Suchanek.
Visualizing the addition of missing words to regular expressions.
International Semantic Web Conference (ISWC) demo track, 2017
Pierre-Xavier Loeffel, Albert Bifet, Christophe Marsala, Marcin Detyniecki.
Droplet Ensemble Learning on Drifting Data Streams.
IDA 2017:210-222
Pierre Martin, Stéphane Masfrand, Yujiro Okuya, Patrick Bourdot.
A VR-CAD Data Model for Immersive Design.
International Conference on Augmented Reality, Virtual Reality and Computer Graphics. Lecture Notes in Computer Science, vol 10324. Springer, Cham, 2017.
Maria-Evgenia G. Rossi, B Shi, N Tziortziotis, Fragkiskos D. Malliaros, C Giatsidis, Michalis Vazirgiannis.
MATI: An Efficient Algorithm for Influence Maximization in Social Networks.
Complex Networks 2017-6th International Conference on Complex Networks
Julien Tourille, Olivier Ferret, Xavier Tannier, Aurélie Névéol.
LIMSI-COT at SemEval-2017 Task 12: Neural Architecture for Temporal Information Extraction from Clinical Narratives.
Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
Julien Tourille, Olivier Ferret, Xavier Tannier, Aurélie Névéol.
LIMSI at SemEval-2017 Task 12: Neural Architecture forTemporal Information Extraction from Clinical Narratives.
Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval 2017).
Julien Tourille, Olivier Ferret, Xavier Tannier, Aurélie Névéol.
Temporal information extraction from clinical text.
Proceedings of the European Chapter of the ACL (EACL 2017, short paper), pp. 739-745. Valencia, Spain, April 2017.
Jacob Montiel, Albert Bifet, Talel Abdessalem.
Predicting over-indebtedness on batch and streaming data.
BigData 2017:1504-1513
Heitor Murilo Gomes, Jean Paul Barddal, Fabrício Enembreck, Albert Bifet.
A Survey on Ensemble Learning for Data Stream Classification.
ACM Comput. Surv. 50(2):23:1-23:36 (2017)
Heitor Murilo Gomes, Albert Bifet, Jesse Read, Jean Paul Barddal, Fabrício Enembreck, Bernhard Pfharinger, Geoff Holmes, Talel Abdessalem.
Adaptive random forests for evolving data stream classification.
Machine Learning 106(9-10):1469-1495 (2017)
Diego Marron, Jesse Read, Albert Bifet, Nacho Navarro.
Data stream classification using random feature functions and novel method combinations.
Journal of Systems and Software 127:195-204 (2017)
Diego Marron, Eduard Ayguadé, José R. Herrero, Jesse Read, Albert Bifet.
Low-latency multi-threaded ensemble learning for dynamic big data streams.
BigData 2017:223-232
Danai Symeonidou, Luis Galárraga, Nathalie Pernelle, Fatiha Saïs, Fabian M. Suchanek.
VICKEY: Mining Conditional Keys on Knowledge Bases.
International Semantic Web Conference (ISWC), 2017
Can Liu, Olivier Chapuis, Michel Beaudouin-Lafon, Eric Lecolinet.
CoReach: Cooperative Gestures for Data Manipulation on Wall-sized Displays.
Proceedings of the 35th international conference on Human factors in computing systems, May 2017, Denver, United States. ACM, 2017, CHI ’17, 2017.
Albert Bifet, Jiajin Zhang, Wei Fan, Cheng He, Jianfeng Zhang, Jianfeng Qian, Geoff Holmes, Bernhard Pfahringer.
Extremely Fast Decision Tree Mining for Evolving Data Streams.
KDD 2017:1733-1742
Albert Bifet.
Classifier Concept Drift Detection and the Illusion of Progress.
ICAISC (2) 2017:715-725
2016
Yifan Yang, Jamal Atif, Isabelle Bloch.
Abductive reasoning for image interpretation based on spatial concrete domains and description logics.
Conférence Nationale en Intelligence Artificielle RFIA-CNIA, pp. 181-188, Clermont-Ferrand, France, 2016.
Yifan Yang, Ricardo De Aldama, Jamal Atif, Isabelle Bloch.
Efficient semantic tableau generation for abduction in propositional logic.
European Conference on Articial Intelligence (ECAI), The Hague, The Netherlands, 2016.
Thomas Rebele, Fabian M. Suchanek, Johannes Hoffart, Joanna Asia Biega, Erdal Kuzey, Gerhard Weikum.
YAGO: a multilingual knowledge base from Wikipedia, Wordnet, and Geonames.
International Semantic Web Conference (ISWC) short paper track, 2016
Raphaël Bonaque, Tien Duc Cao, Bogdan Cautis, François Goasdoué, Javier Letelier, Ioana Manolescu, O. Mendoza, Swen Ribeiro, Xavier Tannier, M. Thomazo.
Mixed-instance querying: a lightweight integration architecture for data journalism.
Proceedings of the VLDB Endowment 9 (13), 1513-1516. VLDB, Sep 2016, New Delhi, India.
Raphaël Bonaque, Bogdan Cautis, François Goasdoué, Ioana Manolescu.
Recherche Sociale, Structurée et Sémantique.
32e Conférence sur la Gestion de Données – Principes, Technologies et Applications, Nov 2016, Poitiers, France.
Paul Ilhe, François Roueff, Éric Moulines, Antoine Souloumiac.
Nonparametric estimation of a shot-noise process.
SSP 16 – Statistical Signal Processing Workshop, Jun 2016, Palma de Mallorca, Spain.
Paul Ilhe, Francois Roueff, Éric Moulines, Antoine Souloumiac.
Désempilement non-paramétrique de la densité d’un processus shot-noise.
Journées des statistiques 2016, Montpellier, France
Maria-Evgenia G. Rossi, Michalis Vazirgiannis.
Exploring Network Centralities in Spreading Processes.
2nd International Symposium on Web Algorithms (iSWAG), 2016.
Konstantinos Skianis, Maria Evgenia G. Rossi, Fragkiskos D. Malliaros, Michalis Vazirgiannis.
SpreadViz: Analytics and Visualization of Spreading Processes in Social Networks.
IEEE International Conference on Data Mining(ICDM), Barcelona, Spain, December 2016.
Julien Tourille, Olivier Ferret, Aurélie Névéol, Xavier Tannier.
LIMSI-COT at SemEval-2016 Task 12: Temporal relation identification using a pipeline of classifiers.
Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval 2016). San Diego, USA, June 2016. Selected for the « Best of SemEval 2016 »
Julien Tourille, Olivier Ferret, Aurélie Névéol, Xavier Tannier.
Extraction de relations temporelles dans des dossiers électroniques patient.
Actes de la Conférence Traitement Automatique des Langues Naturelles (TALN 2016, article court). Paris, France, July 2016.
Hiep Le, Thomas Rebele, Fabian M. Suchanek.
Open Digital Forms.
Theory and Practice of Digital Libraries (TPDL/ECDL) demo track, 2016
Gerhard Weikum, Johannes Hoffart, Fabian M. Suchanek.
Ten Years of Knowledge Harvesting: Lessons and Challenges.
Data Engineering Bulletin, 2016
Fragkiskos D. Malliaros, Maria-Evgenia G. Rossi, Michalis Vazirgiannis.
Locating influential nodes in complex networks.
Scientific reports, Nature Publishing Group, 2016.
Fabian M. Suchanek, Colette Menard, Meghyn Bienvenu, Cyril Chapellier.
What if machines could be creative?.
International Semantic Web Conference (ISWC) demo track, 2016
Fabian M. Suchanek, Colette Menard, Meghyn Bienvenu, Cyril Chapellier.
Can you imagine… a language for combinatorial creativity?.
International Semantic Web Conference (ISWC), 2016
Fabian M. Suchanek, Gerhard Weikum.
Knowledge Representation in Entity-Centric Knowledge Bases.
RUSSIR Summer School invited paper, 2016
David Montoya, Thomas Pellissier Tanon, Serge Abiteboul, Fabian M. Suchanek.
Thymeflow, a personal knowledge base with spatio-temporal data.
International Conference on Information and Knowledge Management (CIKM) demo track, 2016
Can Liu, Olivier Chapuis, Michel Beaudouin-Lafon, Eric Lecolinet.
Shared Interaction on a Wall-Sized Display in a Data Manipulation Task.
Proceedings of the 34th international conference on Human factors in computing systems, May 2016, San Jose, United States. ACM, pp.1-12, CHI ’16, 2016.
2015
Ziad Ismail, Danai Symeonidou, Fabian M. Suchanek.
DIVINA: Discovering Vulnerabilities of Internet Accounts.
World Wide Web Conference (WWW) demo track, 2015
Yifan Yang, Jamal Atif, Isabelle Bloch.
Abductive reasoning using tableau methods for high-level image interpretation.
German Conference on Articial Intelligence, KI2015, volume LNAI 9324, pages 356-365, Dresden, Germany, 2015.
Serge Abiteboul, Luna Dong, Oren Etzioni, Divesh Srivastava, Gerhard Weikum, Julia Stoyanovich, Fabian M. Suchanek.
The elephant in the room: getting value from Big Data.
Web and Databases (WebDB) short paper track, 2015
Paul Ilhe, Éric Moulines, François Roueff, Antoine Souloumiac.
Nonparametric estimation of mark’s distribution of an exponential Shot-noise process.
Electronic Journal of Statistics, 9, 2 (2015), 3098-3123. Institute of Mathematical Statistics and Bernouilli Society.
Paul Ilhe, Francois Roueff, Éric Moulines, Antoine Souloumiac.
Estimation non-paramétrique de la loi des marques d’un shot-noise exponentiel.
25e Colloque GRETSI sur le Traitement du Signal et des Images, Lyon, France, 2015.
Maria-Evgenia G. Rossi, Fragkiskos D. Malliaros, Michalis Vazirgiannis.
Spread it good, spread it fast: Identification of influential nodes in social networks.
International World Wide Web Conference (WWW), Florence, Italy, May 2015.
Johannes Hoffart, Nicoleta Preda, Fabian M. Suchanek, Gerhard Weikum.
Knowledge Bases for Web Content Analytics.
World Wide Web (WWW) tutorial, 2015
2014
Raphaël Bonaque, Bogdan Cautis, François Goasdoué, Ioana Manolescu.
Toward Social, Structured and Semantic Search.
Surfacing the Deep and the Social Web (SDSW), Oct 2014, Riva del Garda, Trentino, Italy. 8 pages.
Joana E. Gonzales Malaverri, André Santanchè, Claudia Bauzer Medeiros.
A provenance-based approach to evaluate data quality in eScience.
International Journal of Metadata, Semantics, and Ontologies, 9, 1 (February 2014), 15-28.
Can Liu, Olivier Chapuis, Michel Beaudouin-Lafon, Éric Lecolinet, Wendy E. Mackay.
Effects of Display Size and Navigation Type on a Classification Task.
ACM. CHI ’14, Apr 2014, Toronto, Canada. 10 p., 2014. Best Paper Award.