| Year |
Citation |
Score |
| 2020 |
Ramon Y, Martens D, Provost F, Evgeniou T. A comparison of instance-level counterfactual explanation algorithms for behavioral and textual data: SEDC, LIME-C and SHAP-C Advanced Data Analysis and Classification. DOI: 10.1007/S11634-020-00418-3 |
0.726 |
|
| 2020 |
Stankova M, Martens D, Provost F. Classification over bipartite graphs through projection Machine Learning. 1-51. DOI: 10.1007/S10994-020-05898-0 |
0.649 |
|
| 2019 |
De Cnudde S, Ramon Y, Martens D, Provost F. Deep Learning on Big, Sparse, Behavioral Data. Big Data. 7: 286-307. PMID 31860341 DOI: 10.1089/big.2019.0095 |
0.689 |
|
| 2018 |
Cohen MC, Guetta CD, Jiao K, Provost F. Data-Driven Investment Strategies for Peer-to-Peer Lending: A Case Study for Teaching Data Science. Big Data. 6: 191-213. PMID 30283728 DOI: 10.1089/big.2018.0092 |
0.386 |
|
| 2016 |
Martens D, Provost F, Clark J, Fortuny EJd. Mining massive fine-grained behavior data to improve predictive analytics Management Information Systems Quarterly. 40: 869-888. DOI: 10.25300/Misq/2016/40.4.04 |
0.704 |
|
| 2015 |
Dalessandro B, Hook R, Perlich C, Provost F. Evaluating and Optimizing Online Advertising: Forget the Click, but There Are Good Proxies. Big Data. 3: 90-102. PMID 27447433 DOI: 10.1089/big.2015.0006 |
0.712 |
|
| 2015 |
Provost F, Martens D, Murray A. Finding similar mobile consumers with a privacy-friendly geosocial design Information Systems Research. 26: 243-265. DOI: 10.1287/Isre.2015.0576 |
0.63 |
|
| 2015 |
Attenberg J, Ipeirotis P, Provost F. Beat the machine: Challenging humans to find a predictive model's "unknown unknowns", Journal of Data and Information Quality. 6. DOI: 10.1145/2700832 |
0.375 |
|
| 2015 |
De Fortuny EJ, Evgeniou T, Martens D, Provost F. Iteratively refining SVMs using priors Proceedings - 2015 Ieee International Conference On Big Data, Ieee Big Data 2015. 46-52. DOI: 10.1109/BigData.2015.7363740 |
0.704 |
|
| 2014 |
Provost F, Webb GI, Bekkerman R, Etzioni O, Fayyad U, Perlich C. A Data Scientist's Guide to Start-Ups. Big Data. 2: 117-28. PMID 27442492 DOI: 10.1089/big.2014.0031 |
0.688 |
|
| 2014 |
Martens D, Provost F. Explaining data-driven document classifications Mis Quarterly: Management Information Systems. 38: 73-99. DOI: 10.25300/Misq/2014/38.1.04 |
0.713 |
|
| 2014 |
Williams MH, Perlich C, Dalessandro B, Provost F. Pleasing the advertising oracle: Probabilistic prediction from sampled, aggregated ground truth Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. DOI: 10.1145/2648584.2648587 |
0.676 |
|
| 2014 |
Dalessandro B, Chen D, Raeder T, Perlich C, Han Williams M, Provost F. Scalable hands-free transfer learning for online advertising Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 1573-1582. DOI: 10.1145/2623330.2623349 |
0.664 |
|
| 2014 |
Perlich C, Dalessandro B, Raeder T, Stitelman O, Provost F. Machine learning for targeted display advertising: Transfer learning in action Machine Learning. 95: 103-127. DOI: 10.1007/S10994-013-5375-2 |
0.722 |
|
| 2014 |
Ipeirotis PG, Provost F, Sheng VS, Wang J. Repeated labeling using multiple noisy labelers Data Mining and Knowledge Discovery. 28: 402-441. DOI: 10.1007/S10618-013-0306-1 |
0.329 |
|
| 2013 |
Junqué de Fortuny E, Martens D, Provost F. Predictive Modeling With Big Data: Is Bigger Really Better? Big Data. 1: 215-26. PMID 27447254 DOI: 10.1089/big.2013.0037 |
0.723 |
|
| 2012 |
Dalessandro B, Stitelman O, Perlich C, Provost F. Causally motivated attribution for online advertising Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. DOI: 10.1145/2351356.2351363 |
0.666 |
|
| 2012 |
Raeder T, Stitelman O, Dalessandro B, Perlich C, Provost F. Design principles of massive, robust prediction systems Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 1357-1365. DOI: 10.1145/2339530.2339740 |
0.73 |
|
| 2012 |
Perlich C, Dalessandro B, Hook R, Stitelman O, Raeder T, Provost F. Bid optimizing and inventory scoring in targeted online advertising Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 804-812. DOI: 10.1145/2339530.2339655 |
0.686 |
|
| 2011 |
Attenberg J, Provost F. Online active inference and learning Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 186-194. DOI: 10.1145/2020408.2020443 |
0.308 |
|
| 2011 |
Attenberg J, Provost F. Inactive learning? Acm Sigkdd Explorations Newsletter. 12: 36-41. DOI: 10.1145/1964897.1964906 |
0.357 |
|
| 2009 |
Saar-Tsechansky M, Melville P, Provost F. Active feature-value acquisition Management Science. 55: 664-684. DOI: 10.1287/Mnsc.1080.0952 |
0.75 |
|
| 2007 |
Saar-Tsechansky M, Provost F. Decision-centric active learning of binary-outcome models Information Systems Research. 18: 4-22. DOI: 10.1287/Isre.1070.0111 |
0.743 |
|
| 2007 |
Provost F, Melville P, Saar-Tsechansky M. Data acquisition and cost-effective predictive modeling: Targeting offers for electronic commerce Acm International Conference Proceeding Series. 258: 389-398. DOI: 10.1145/1282100.1282172 |
0.738 |
|
| 2007 |
Saar-Tsechansky M, Provost F. Handling missing values when applying classification models Journal of Machine Learning Research. 8: 1625-1657. |
0.719 |
|
| 2006 |
Hill S, Provost F, Volinsky C. Network-based marketing: Identifying likely adopters via consumer networks Statistical Science. 21: 256-276. DOI: 10.1214/088342306000000222 |
0.315 |
|
| 2006 |
Perlich C, Provost F. Distribution-based aggregation for relational learning with identifier attributes Machine Learning. 62: 65-105. DOI: 10.1007/S10994-006-6064-1 |
0.723 |
|
| 2005 |
Melville P, Saar-Tsechansky M, Provost F, Mooney R. Economical active feature-value acquisition through expected utility estimation Proceedings of the 1st International Workshop On Utility-Based Data Mining, Ubdm '05. 10-16. DOI: 10.1145/1089827.1089828 |
0.722 |
|
| 2005 |
Bernstein A, Provost F, Hill S. Toward intelligent assistance for a data mining process: An ontology-based approach for cost-sensitive classification Ieee Transactions On Knowledge and Data Engineering. 17: 503-518. DOI: 10.1109/Tkde.2005.67 |
0.411 |
|
| 2005 |
Melville P, Saar-Tsechansky M, Provost F, Mooney R. An expected utility approach to active feature-value acquisition Proceedings - Ieee International Conference On Data Mining, Icdm. 745-748. DOI: 10.1109/ICDM.2005.23 |
0.727 |
|
| 2004 |
Perlich C, Provost F, Simonoff JS. Tree induction vs. Logistic regression: A learning-curve analysis Journal of Machine Learning Research. 4: 211-255. DOI: 10.1162/153244304322972694 |
0.727 |
|
| 2004 |
Melville P, Saar-Tsechansky M, Provost F, Mooney R. Active feature-value acquisition for classifier induction Proceedings - Fourth Ieee International Conference On Data Mining, Icdm 2004. 483-486. DOI: 10.1109/ICDM.2004.10075 |
0.734 |
|
| 2004 |
Saar-Tsechansky M, Provost F. Active Sampling for Class Probability Estimation and Ranking Machine Learning. 54: 153-178. DOI: 10.1023/B:MACH.0000011806.12374.c3 |
0.728 |
|
| 2004 |
Kolluri V, Provost F, Buchanan B, Metzler D. Knowledge discovery using concept-class taxonomies Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). 3339: 450-461. |
0.35 |
|
| 2003 |
Weiss GM, Provost F. Learning when training data are costly: The effect of class distribution on tree induction Journal of Artificial Intelligence Research. 19: 315-354. DOI: 10.1613/Jair.1199 |
0.387 |
|
| 2003 |
Perlich C, Provost F, Macskassy S. Predicting citation rates for physics papers Acm Sigkdd Explorations Newsletter. 5: 154-155. DOI: 10.1145/980972.980994 |
0.678 |
|
| 2003 |
Perlich C, Provost F. Aggregation-based feature invention and relational concept classes Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 167-176. DOI: 10.1145/956750.956772 |
0.716 |
|
| 2003 |
Provost F, Domingos P. Tree induction for probability-based ranking Machine Learning. 52: 199-215. DOI: 10.1023/A:1024099825458 |
0.382 |
|
| 2001 |
Provost F, Fawcett T. Robust classification for imprecise environments Machine Learning. 42: 203-231. DOI: 10.1023/A:1007601015854 |
0.413 |
|
| 2001 |
Saar-Tsechansky M, Provost F. Active learning for class probability estimation and ranking Ijcai International Joint Conference On Artificial Intelligence. 911-917. |
0.725 |
|
| 2000 |
Dhar V, Chou D, Provost F. Discovering interesting patterns for investment decision making with GLOWER - A genetic learner overlaid with entropy reduction Data Mining and Knowledge Discovery. 4: 69-80. DOI: 10.1023/A:1009848126475 |
0.437 |
|
| 1999 |
Aha DW, Daniels JJ, Sahami M, Danyluk A, Fawcett T, Provost F, Logan B, Baxter J. AAAI-98 Workshops: Reports of the Workshops Held at the Fifteenth National Conference on Artificial Intelligence in Madison, Wisconsin Ai Magazine. 20: 123. DOI: 10.1609/Aimag.V20I1.1446 |
0.35 |
|
| 1999 |
Provost F, Kolluri V. A survey of methods for scaling up inductive algorithms Data Mining and Knowledge Discovery. 3: 131-169. DOI: 10.1023/A:1009876119989 |
0.366 |
|
| 1999 |
Provost F, Danyluk AP. Problem definition, data cleaning, and evaluation: a classifier learning case study Informatica (Ljubljana). 23: 123-136. |
0.307 |
|
| 1998 |
Provost F, Kohavi R. Guest editors' introduction: On applied research in machine learning Machine Learning. 30: 127-132. DOI: 10.1023/A:1007442505281 |
0.361 |
|
| 1994 |
Provost FJ, Hennessy DN. Distributed machine learning: scaling up with coarse-grained parallelism Proceedings / . International Conference On Intelligent Systems For Molecular Biology ; Ismb. International Conference On Intelligent Systems For Molecular Biology. 2: 340-347. PMID 7584410 |
0.335 |
|
| Low-probability matches (unlikely to be authored by this person) |
| 2017 |
Provost F, Euchner J. What Managers Need to Know About Big Data Research-Technology Management. 60: 11-17. DOI: 10.1080/08956308.2017.1300991 |
0.293 |
|
| 2007 |
Macskassy SA, Provost F. Classification in networked data: A toolkit and a univariate case study Journal of Machine Learning Research. 8: 935-983. |
0.288 |
|
| 1990 |
Clearwater S, Cleland W, Provost F, Stern E, Zhang Z. A real-time expert system for trigger-logic monitoring Nuclear Inst. and Methods in Physics Research, A. 293: 491-495. DOI: 10.1016/0168-9002(90)91488-W |
0.286 |
|
| 2003 |
Hill S, Provost F. The myth of the double-blind review? Acm Sigkdd Explorations Newsletter. 5: 179-184. DOI: 10.1145/980972.981001 |
0.281 |
|
| 2014 |
Nian T, De Fortuny EJ, Provost F. Revealing life events from inferred customer similarity: A predictive modeling approach 24th Workshop On Information Technology and Systems. |
0.276 |
|
| 2013 |
Provost F, Fawcett T. Data Science and its Relationship to Big Data and Data-Driven Decision Making. Big Data. 1: 51-9. PMID 27447038 DOI: 10.1089/big.2013.1508 |
0.271 |
|
| 2013 |
Sundararajan A, Provost F, Oestreicher-Singer G, Aral S. Information in digital, economic, and social networks Information Systems Research. 24: 883-905. DOI: 10.1287/Isre.1120.0472 |
0.27 |
|
| 1992 |
Provost F, Nieuwenhuysen P. Measuring overlap of data bases in water supply and sanitation using sampling and the binomial probability distribution Scientometrics. 25: 201-209. DOI: 10.1007/BF02016855 |
0.265 |
|
| 2014 |
Provost F, Fawcett T. Authors' Response to Gong's, "Comment on Data Science and its Relationship to Big Data and Data-Driven Decision Making". Big Data. 2: 1. PMID 27447303 DOI: 10.1089/big.2014.1516 |
0.265 |
|
| 2010 |
Attenberg J, Provost F. Why label when you can search? Alternatives to active learning for applying human resources to build classification models under extreme class imbalance Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 423-432. DOI: 10.1145/1835804.1835859 |
0.259 |
|
| 2001 |
Macskassy SA, Provost F. Intelligent information triage Sigir Forum (Acm Special Interest Group On Information Retrieval). 318-326. |
0.258 |
|
| 2010 |
Attenberg J, Melville P, Provost F. A unified approach to active dual supervision for labeling features and examples Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6321: 40-55. DOI: 10.1007/978-3-642-15880-3_9 |
0.256 |
|
| 2001 |
Kohavi R, Provost F. Applications of data mining to electronic commerce Data Mining and Knowledge Discovery. 5: 5-10. DOI: 10.1023/A:1009840925866 |
0.249 |
|
| 1996 |
Provost FJ. Scaling up inductive learning with massive parallelism Machine Learning. 23: 33-46. |
0.24 |
|
| 1997 |
Fawcett T, Provost F. Adaptive fraud detection Data Mining and Knowledge Discovery. 1: 291-316. |
0.237 |
|
| 2017 |
Wang J, Ipeirotis PG, Provost F. Cost-Effective Quality Assurance in Crowd Labeling Information Systems Research. 28: 137-158. DOI: 10.1287/Isre.2016.0661 |
0.234 |
|
| 2007 |
Macskassy SA, Provost F. A brief survey of machine learning methods for classification in networked data and an application to suspicion scoring Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4503: 172-175. |
0.225 |
|
| 2001 |
Provost F, Srikant R, Schkolnick M. Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining: Foreword Proceedings of the Seventh Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. |
0.218 |
|
| 2017 |
Chen D, Fraiberger SP, Moakler R, Provost F. Enhancing Transparency and Control When Drawing Data-Driven Inferences About Individuals. Big Data. 5: 197-212. PMID 28933942 DOI: 10.1089/big.2017.0074 |
0.208 |
|
| 2008 |
Sheng VS, Provost F, Ipeirotis PG. Get another label? Improving data quality and data mining using multiple, noisy labelers Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 614-622. DOI: 10.1145/1401890.1401965 |
0.207 |
|
| 1995 |
Provost FJ, Buchanan BG. Inductive Policy: The Pragmatics of Bias Selection Machine Learning. 20: 35-61. DOI: 10.1007/Bf00993474 |
0.203 |
|
| 2013 |
Le LT, Eliassi-Rad T, Provost F, Moores L. Hyperlocal: Inferring location of IP addresses in real-time bid requests for mobile ads Proceedings of the 6th Acm Sigspatial International Workshop On Location-Based Social Networks, Lbsn 2013 - Held in Conjunction With the 21st Acm Sigspatial Gis 2013. 24-33. DOI: 10.1145/2536689.2536807 |
0.187 |
|
| 2007 |
Provost F, Sundararajan A. Modeling complex networks for electronic commerce Ec'07 - Proceedings of the Eighth Annual Conference On Electronic Commerce. 368. DOI: 10.1145/1250910.1250970 |
0.17 |
|
| 1990 |
Clearwater SH, Provost FJ. RL4: A tool for knowledge-based induction . 24-30. |
0.148 |
|
| 2009 |
Provost F, Dalessandro B, Hook R, Zhang X, Murray A. Audience selection for on-line brand advertising: Privacy-friendly social network targeting Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 707-715. DOI: 10.1145/1557019.1557098 |
0.126 |
|
| 1990 |
Boiron P, Provost F. Enzymatic characterization of Nocardia spp. and related bacteria by API ZYM profile Mycopathologia. 110: 51-56. PMID 2352550 DOI: 10.1007/BF00442770 |
0.093 |
|
| 2018 |
Junqué de Fortuny E, Martens D, Provost F. Wallenius Bayes Machine Learning. 107: 1013-1037. DOI: 10.1007/s10994-018-5699-z |
0.092 |
|
| 1979 |
Cummings RM, McNeir WF, Provost F. Edmund Spenser: An Annotated Bibliography 1937-72 The Modern Language Review. 74: 162. DOI: 10.2307/3726933 |
0.09 |
|
| 2015 |
Hill DN, Moakler R, Hubbard AE, Tsemekhman V, Provost F, Tsemekhman K. Measuring causal impact of online actions via natural experiments: Application to display advertising Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 2015: 1839-1847. DOI: 10.1145/2783258.2788622 |
0.09 |
|
| 1992 |
Sieverts EG, Hofstede M, Lobbestael G, Groeniger O, Provost F, Sikova P. Software for information storage and retrieval tested, evaluated and compared * part v — personal information managers, hypertext and relevance ranking programs The Electronic Library. 10: 339-355. DOI: 10.1108/eb045189 |
0.078 |
|
| 1992 |
Provost FJ, Melhem R. A distributed algorithm for embedding trees in hypercubes with modifications for run-time fault tolerance Journal of Parallel and Distributed Computing. 14: 85-89. DOI: 10.1016/0743-7315(92)90099-9 |
0.074 |
|
| 1997 |
Provost F, Laurent F, Blanc MV, Boiron P. Transmission of nocardiosis and molecular typing of Nocardia species: A short review European Journal of Epidemiology. 13: 235-238. PMID 9085011 DOI: 10.1023/A:1007324214800 |
0.074 |
|
| 2011 |
Attenberg J, Ipeirotis PG, Provost F. Beat the machine: Challenging workers to find the unknown unknowns Aaai Workshop - Technical Report. 2-7. |
0.065 |
|
| 1998 |
Drouhet E, Guého E, Gori S, Huerre M, Provost F, Borgers M, Dupont B. Mycological, ultrastructural and experimental aspects of a new dimorphic fungus Emmonsia pasteuriana sp. nov. isolated from a cutaneous disseminated mycosis in aids Journal De Mycologie Medicale. 8: 64-77. |
0.064 |
|
| 2014 |
Provost F. ACM SIGKDD 2014 to be Held August 24-27 in Manhattan. Big Data. 2: 71-2. PMID 27442299 DOI: 10.1089/big.2014.0009 |
0.064 |
|
| 2000 |
Laurent F, Provost F, Couble A, Casoli E, Boiron P. Genetic relatedness analysis of Nocardia strains by random amplification polymorphic DNA: Validation and applications Research in Microbiology. 151: 263-270. PMID 10875283 DOI: 10.1016/S0923-2508(00)00152-2 |
0.064 |
|
| 2000 |
Guillot J, Deville M, Berthelemy M, Provost F, Guého E. A single PCR-restriction endonuclease analysis for rapid identification of Malassezia species Letters in Applied Microbiology. 31: 400-403. PMID 11069645 DOI: 10.1046/J.1472-765X.2000.00839.X |
0.063 |
|
| 1995 |
Farina C, Boiron P, Goglio A, Provost F. Human nocardiosis in northern Italy from 1982 to 1992 Scandinavian Journal of Infectious Diseases. 27: 23-27. PMID 7784809 DOI: 10.3109/00365549509018968 |
0.054 |
|
| 1995 |
Garcia-Hermoso D, Dromer F, Improvisi L, Provost F, Dupont B. Fluconazole concentrations in saliva from AIDS patients with oropharyngeal candidosis refractory to treatment with fluconazole Antimicrobial Agents and Chemotherapy. 39: 656-660. PMID 7793868 |
0.054 |
|
| 2000 |
Provost FL, Schibler L, Oustry-Vaiman A, Martin P, Cribiu EP. Cytogenetic mapping of 25 goat mammary gland Expressed Sequence Tags (ESTs) Genetics Selection Evolution. 32: 311-320. |
0.054 |
|
| 2005 |
Macskassy SA, Provost F, Rosset S. ROC confidence bands: An empirical evaluation Icml 2005 - Proceedings of the 22nd International Conference On Machine Learning. 537-544. DOI: 10.1145/1102351.1102419 |
0.05 |
|
| 1990 |
Boiron P, Provost F. Use of partially purified 54-kilodalton antigen for diagnosis of nocardiosis by Western blot (immunoblot) assay Journal of Clinical Microbiology. 28: 328-331. PMID 2179262 |
0.044 |
|
| 1999 |
Lortholary O, Improvisi L, Nicolas M, Provost F, Dupont B, Dromer F. Fungemia during murine cryptococcosis sheds some light on pathophysiology Medical Mycology. 37: 169-174. PMID 10421848 DOI: 10.1046/j.1365-280X.1999.00215.x |
0.043 |
|
| 1993 |
Provost F. Columbus Bibliographies Primary Sources & Original Works. 2: 175-187. DOI: 10.1300/J269v02n01_06 |
0.042 |
|
| 1997 |
Khan ZU, Neil L, Chandy R, Chugh TD, Al-Sayer H, Provost F, Boiron P. Nocardia asteroides in the soil of Kuwait Mycopathologia. 137: 159-163. PMID 9424591 DOI: 10.1023/A:1006857801113 |
0.042 |
|
| 1994 |
Provost FL, Leroux C, Martin P, Gaye P, Djiane J. Prolactin gene expression in ovine and caprine mammary gland Neuroendocrinology. 60: 305-313. PMID 7969789 DOI: 10.1159/000126763 |
0.04 |
|
| 1988 |
Boiron P, Provost F. In-vitro susceptibility testing of nocardia spp. And its taxonomic implication Journal of Antimicrobial Chemotherapy. 22: 623-629. PMID 3209523 DOI: 10.1093/jac/22.5.623 |
0.039 |
|
| 2009 |
Bennett P, Chandrasekar R, Chickering M, Ipeirotis P, Law E, Mityagin A, Provost F, Von Ahn L. Proceedings of the ACM SIGKDD Workshop on Human Computation, HCOMP 09: Preface Proceedings of the Acm Sigkdd Workshop On Human Computation, Hcomp '09. 1. |
0.038 |
|
| 1999 |
Laurent FJ, Provost F, Boiron P. Rapid identification of clinically relevant Nocardia species to genus level by 16S rRNA gene PCR Journal of Clinical Microbiology. 37: 99-102. PMID 9854071 |
0.036 |
|
| 1992 |
Boiron P, Provost F, Chevrier G, Dupont B. Review of nocardial infections in France 1987 to 1990 European Journal of Clinical Microbiology &Amp; Infectious Diseases. 11: 709-714. PMID 1425729 DOI: 10.1007/BF01989975 |
0.034 |
|
| 2010 |
Chandrasekar R, Chi E, Chickering M, Ipeirotis PG, Mason W, Provost F, Tam J, Von Ahn L. Workshop Proceedings - Human Computation Workshop 2010, HCOMP2010: Preface Workshop Proceedings - Human Computation Workshop 2010, Hcomp2010. iii. DOI: 10.1145/1837885.1837887 |
0.033 |
|
| 2001 |
Farina C, Boiron P, Ferrari I, Provost F, Goglio A. Report of human nocardiosis in Italy between 1993 and 1997 European Journal of Epidemiology. 17: 1019-1022. PMID 12380715 DOI: 10.1023/A:1020010826300 |
0.032 |
|
| 1995 |
Provost F, Polonelli L, Conti S, Fisicaro P, Gerloni M, Boiron P. Use of yeast killer system to identify species of the Nocardia asteroides complex Journal of Clinical Microbiology. 33: 8-10. PMID 7699072 |
0.032 |
|
| 2010 |
Ipeirotis PG, Provost F, Wang J. Quality management on Amazon Mechanical Turk Workshop Proceedings - Human Computation Workshop 2010, Hcomp2010. 64-67. DOI: 10.1145/1837885.1837906 |
0.031 |
|
| 1999 |
Vantyghem MC, Ronci N, Provost F, Ghulam A, Lefebvre J, Jeunemaitre X, Tabarin A. Aldosterone-producing adenoma without hypertension: A report of two cases European Journal of Endocrinology. 141: 279-285. PMID 10474126 DOI: 10.1530/eje.0.1410279 |
0.031 |
|
| 1995 |
Dromer F, Motslignier A, Dupont B, Guebo E, Baudrimont M, Improvisi L, Provost F, Gonzalez-Canali G. Myeloradiculitis due to Cryptococcus curvatus in AIDS [1] Aids. 9: 395-396. PMID 7794545 |
0.031 |
|
| 1999 |
Laurent F, Provost F, Boiron F. Nocardiosis in 1999: Clinical and biological diagnosis Feuillets De Biologie. 40: 25-38. |
0.028 |
|
| 2004 |
Vantyghem MC, Hazzan M, Tourvieille S, Provost F, Perimenis P, Declerck N, Sergent G, Kerr-Conte J, Noel C, Pattou F. Selection of diabetic patients for islet transplantation. A single-center experience Diabetes and Metabolism. 30: 417-423. PMID 15671909 |
0.028 |
|
| 1996 |
Provost F, Blanc MV, Beaman BL, Boiron R. Occurrence of plasmids in pathogenic strains of Nocardia Journal of Medical Microbiology. 45: 344-348. PMID 8918949 DOI: 10.1099/00222615-45-5-344 |
0.027 |
|
| 1998 |
Khan ZU, Chugh TD, Chandy R, Provost F, Boiron P. A study of the enzymatic profile of soil isolates of Nocardia asteroides Mycopathologia. 143: 151-154. PMID 10353211 DOI: 10.1023/A:1006901230367 |
0.026 |
|
| 2008 |
Le Quintrec M, Lionet A, Kamar N, Karras A, Barbier S, Buchler M, Fakhouri F, Provost F, Fridman WH, Thervet E, Legendre C, Zuber J, Frémeaux-Bacchi V. Complement mutation-associated de novo thrombotic microangiopathy following kidney transplantation American Journal of Transplantation. 8: 1694-1701. PMID 18557729 DOI: 10.1111/j.1600-6143.2008.02297.x |
0.026 |
|
| 1997 |
Provost F, Laurent F, Camacho Uzcategui LR, Boiron P. Molecular study of persistence of Nocardia asteroides and Nocardia otitidiscaviarum strains in patients with long-term nocardiosis Journal of Clinical Microbiology. 35: 1157-1160. PMID 9114399 |
0.025 |
|
| 2000 |
Khan ZU, Al-Sayer H, Das Chugh T, Chandy R, Provost F, Boiron P. Antimicrobial susceptibility profile of soil isolates of Nocardia asteroides from Kuwait Clinical Microbiology and Infection. 6: 94-98. PMID 11168079 DOI: 10.1046/j.1469-0691.2000.00026.x |
0.021 |
|
| 2014 |
Junqué De Fortuny E, Stankova M, Moeyersoms J, Minnaert B, Provost F, Martens D. Corporate residence fraud detection Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 1650-1659. DOI: 10.1145/2623330.2623333 |
0.02 |
|
| 2010 |
Melville P, Leskovec J, Provost F. SOMA 2010 - Proceedings of the 1st Workshop on Social Media Analytics: Foreword Soma 2010 - Proceedings of the 1st Workshop On Social Media Analytics. |
0.017 |
|
| 1988 |
Boiron P, Provost F. Enzyme immunoassay on whole Nocardia asteroides cells for human nocardiosis Serodiagnosis and Immunotherapy in Infectious Disease. 2: 445-452. DOI: 10.1016/0888-0786(88)90009-1 |
0.016 |
|
| 1998 |
Gugnani HC, Unaogu IC, Provost F, Boiron P. Pulmonary infection due to Nocardiopsis dassonvillei, Gordona sputi, Rhodococcus rhodochrous and Micromonospora sp. in Nigeria and literature review Journal De Mycologie Medicale. 8: 21-25. |
0.015 |
|
| 2005 |
Provost F. Reduction of drug abuse ... a true public health paradigm Perspective InfirmièRe : Revue Officielle De L'Ordre Des InfirmièRes Et Infirmiers Du QuéBec. 2: 44-45. PMID 15686213 |
0.015 |
|
| 1992 |
Boiron P, Stynen D, Belkacem G, Goris A, Provost F. Monoclonal antibodies to a specific 54-kilodalton antigen of Nocardia spp Journal of Clinical Microbiology. 30: 1033-1035. PMID 1572962 |
0.013 |
|
| 2008 |
Provost F. Overuse syndrome of the clutch pedal Revue Du Podologue. 4: 17-19. |
0.012 |
|
| 2006 |
Vidal C, Méric P, Provost F, Herzog C, Lasmézas C, Gillet B, Beloeil JC, Dormont D. Preclinical metabolic changes in mouse prion diseases detected by 1H-nuclear magnetic resonance spectroscopy. Neuroreport. 17: 89-93. PMID 16361957 DOI: 10.1097/01.wnr.0000194389.89536.88 |
0.01 |
|
| 1999 |
Laurent F, Provost F, Boiron F. Nocardioses en 1999: Diagnostics clinique et biologique Feuillets De Biologie. 40. |
0.01 |
|
| 1994 |
Vanden Bossche H, Warnock DW, Dupont B, Kerridge D, Sen Gupta S, Improvisi L, Marichal P, Odds FC, Provost F, Ronin O. Mechanisms and clinical impact of antifungal drug resistance Journal of Medical and Veterinary Mycology, Supplement. 32: 189-202. PMID 7722785 DOI: 10.1080/02681219480000821 |
0.01 |
|
| 1994 |
Blanc V, Provost F, Boiron P, Delisle F. Nocardia infections Feuillets De Biologie. 35: 23-30. |
0.01 |
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| 1990 |
Boiron P, Provost F. Characterization of Nocardia, Rhodococcus and Gordona species by in vitro susceptibility testing Zentralblatt Fur Bakteriologie. 274: 203-213. PMID 2085370 |
0.01 |
|
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