Nitesh V. Chawla

	2012
95		T. Ryan Hoens, Qi Qian, Nitesh V. Chawla, Zhi-Hua Zhou: Building Decision Trees for the Multi-class Imbalance Problem. PAKDD (1) 2012: 122-134
94		Yizhou Sun, Jiawei Han, Charu C. Aggarwal, Nitesh V. Chawla: When will it happen?: relationship prediction in heterogeneous information networks. WSDM 2012: 663-672
93		Ryan Lichtenwalter, Nitesh V. Chawla: Vertex collocation profiles: subgraph counting for link analysis and prediction. WWW 2012: 1019-1028
92		David A. Cieslak, T. Ryan Hoens, Nitesh V. Chawla, W. Philip Kegelmeyer: Hellinger distance decision trees are robust and skew-insensitive. Data Min. Knowl. Discov. 24(1): 136-158 (2012)
91		Jose G. Moreno-Torres, Troy Raeder, Rocío Alaíz-Rodríguez, Nitesh V. Chawla, Francisco Herrera: A unifying view on dataset shift in classification. Pattern Recognition 45(1): 521-530 (2012)
	2011
90		Ashok N. Srivastava, Nitesh V. Chawla, Amal Shehan Perera: Proceedings of the 2011 Conference on Intelligent Data Understanding, CIDU 2011, October 19-21, 2011, Mountain View, California, USA NASA Ames Research Center 2011
89		Ryan Lichtenwalter, Nitesh V. Chawla: DisNet: A Framework for Distributed Graph Computation. ASONAM 2011: 263-270
88		Darcy A. Davis, Ryan Lichtenwalter, Nitesh V. Chawla: Multi-relational Link Prediction in Heterogeneous Information Networks. ASONAM 2011: 281-288
87		Yang Yang, Yizhou Sun, Saurav Pandit, Nitesh V. Chawla, Jiawei Han: Is Objective Function the Silver Bullet? A Case Study of Community Detection Algorithms on Social Networks. ASONAM 2011: 394-397
86		Alex Pelan, Karsten Steinhaeuser, Nitesh V. Chawla, Dilkushi A. de Alwis Pitts, Auroop R. Ganguly: Empirical comparison of correlation measures and pruning levels in complex networks representing the global climate system. CIDM 2011: 239-245
85		Jake T. Lussier, Nitesh V. Chawla: Network Effects on Tweeting. Discovery Science 2011: 209-220
84		T. Ryan Hoens, Nitesh V. Chawla, Robi Polikar: Heuristic Updatable Weighted Random Subspaces for Non-stationary Environments. ICDM 2011: 241-250
83		Karsten Steinhaeuser, Nitesh V. Chawla, Auroop R. Ganguly: Comparing Predictive Power in Climate Data: Clustering Matters. SSTD 2011: 39-55
82		Troy Raeder, Omar Lizardo, David Hachen, Nitesh V. Chawla: Predictors of short-term decay of cell phone contacts in a large scale communication network CoRR abs/1102.1753: (2011)
81		Kevin W. Bowyer, Nitesh V. Chawla, Lawrence O. Hall, W. Philip Kegelmeyer: SMOTE: Synthetic Minority Over-sampling Technique CoRR abs/1106.1813: (2011)
80		Nitesh V. Chawla, David Hachen, Omar Lizardo, Zoltán Toroczkai, Anthony Strathman, Cheng Wang: Weighted reciprocity in human communication networks CoRR abs/1108.2822: (2011)
79		Nitesh V. Chawla, Grigoris J. Karakoulas: Learning From Labeled And Unlabeled Data: An Empirical Study Across Techniques And Domains CoRR abs/1109.2047: (2011)
78		Mária Ercsey-Ravasz, Ryan Lichtenwalter, Nitesh V. Chawla, Zoltán Toroczkai: Range-limited Centrality Measures in Complex Networks CoRR abs/1111.5382: (2011)
77		Ryan Lichtenwalter, Nitesh V. Chawla: LPmade: Link Prediction Made Easy. Journal of Machine Learning Research 12: 2489-2492 (2011)
76		Troy Raeder, Nitesh V. Chawla: Market basket analysis with networks. Social Netw. Analys. Mining 1(2): 97-113 (2011)
75		Ashok N. Srivastava, Nitesh V. Chawla: Special issue on the best papers of the Conference on Intelligent Data Understanding (CIDU 2010). Statistical Analysis and Data Mining 4(4): 355-357 (2011)
74		Karsten Steinhaeuser, Nitesh V. Chawla, Auroop R. Ganguly: Complex networks as a unified framework for descriptive analysis and predictive modeling in climate science. Statistical Analysis and Data Mining 4(5): 497-511 (2011)
	2010
73		Ashok N. Srivastava, Nitesh V. Chawla, Philip S. Yu, Paul Melby: Proceedings of the 2010 Conference on Intelligent Data Understanding, CIDU 2010, October 5-6, 2010, Mountain View, California, USA NASA Ames Research Center 2010
72		Thanaruk Theeramunkong, Cholwich Nattee, Paulo J. L. Adeodato, Nitesh V. Chawla, Peter Christen, Philippe Lenca, Josiah Poon, Graham J. Williams: New Frontiers in Applied Data Mining, PAKDD 2009 International Workshops, Bangkok, Thailand, April 27-30, 2009. Revised Selected Papers Springer 2010
71		Mohamed Medhat Gaber, Ranga Raju Vatsavai, Olufemi A. Omitaomu, João Gama, Nitesh V. Chawla, Auroop R. Ganguly: Knowledge Discovery from Sensor Data, Second International Workshop, Sensor-KDD 2008, Las Vegas, NV, USA, August 24-27, 2008, Revised Selected Papers Springer 2010
70		Andrew K. Rider, Geoffrey Siwo, Scott J. Emrich, Michael T. Ferdig, Nitesh V. Chawla: A supervised learning approach to the unsupervised clustering of genes. BIBM 2010: 322-328
69		Karsten Steinhaeuser, Nitesh V. Chawla, Auroop R. Ganguly: Complex Networks In Climate Science: Progress, Opportunities And Challenges. CIDU 2010: 16-26
68		Troy Raeder, T. Ryan Hoens, Nitesh V. Chawla: Consequences of Variability in Classifier Performance Estimates. ICDM 2010: 421-430
67		Gregory Ditzler, Robi Polikar, Nitesh V. Chawla: An Incremental Learning Algorithm for Non-stationary Environments and Class Imbalance. ICPR 2010: 2997-3000
66		T. Ryan Hoens, Marina Blanton, Nitesh V. Chawla: Reliable medical recommendation systems with patient privacy. IHI 2010: 173-182
65		Brian Dentino, Darcy A. Davis, Nitesh V. Chawla: HealthCareND: leveraging EHR and CARE for prospective healthcare. IHI 2010: 841-844
64		Ryan Lichtenwalter, Jake T. Lussier, Nitesh V. Chawla: New perspectives and methods in link prediction. KDD 2010: 243-252
63		Troy Raeder, Marina Blanton, Nitesh V. Chawla, Keith B. Frikken: Privacy-Preserving Network Aggregation. PAKDD (1) 2010: 198-207
62		T. Ryan Hoens, Nitesh V. Chawla: Generating Diverse Ensembles to Counter the Problem of Class Imbalance. PAKDD (2) 2010: 488-499
61		Jake T. Lussier, Troy Raeder, Nitesh V. Chawla: User Generated Content Consumption and Social Networking in Knowledge-Sharing OSNs. SBP 2010: 228-237
60		Wei Liu, Sanjay Chawla, David A. Cieslak, Nitesh V. Chawla: A Robust Decision Tree Algorithm for Imbalanced Data Sets. SDM 2010: 766-777
59		T. Ryan Hoens, Marina Blanton, Nitesh V. Chawla: A Private and Reliable Recommendation System for Social Networks. SocialCom/PASSAT 2010: 816-825
58		Nitesh V. Chawla: Data Mining for Imbalanced Datasets: An Overview. Data Mining and Knowledge Discovery Handbook 2010: 875-886
57		Andrew K. Rider, Geoffrey Siwo, Nitesh V. Chawla, Michael T. Ferdig, Scott J. Emrich: A statistical approach to finding overlooked genetic associations. BMC Bioinformatics 11: 526 (2010)
56		Darcy A. Davis, Nitesh V. Chawla, Nicholas A. Christakis, Albert-László Barabási: Time to CARE: a collaborative engine for practical disease prediction. Data Min. Knowl. Discov. 20(3): 388-415 (2010)
55		Ryan Lichtenwalter, Katerina Lichtenwalter, Nitesh V. Chawla: A Machine-Learning Approach to Autonomous Music Composition. J. Intelligent Systems 19(2): 95-124 (2010)
54		Karsten Steinhaeuser, Nitesh V. Chawla: Identifying and evaluating community structure in complex networks. Pattern Recognition Letters 31(5): 413-421 (2010)
53		Karsten Steinhaeuser, Nitesh V. Chawla, Auroop R. Ganguly: An exploration of climate data using complex networks. SIGKDD Explorations 12(1): 25-32 (2010)
52		Varun Chandola, Olufemi A. Omitaomu, Auroop R. Ganguly, Ranga Raju Vatsavai, Nitesh V. Chawla, Joao Gama, Mohamed Medhat Gaber: Knowledge discovery from sensor data (SensorKDD). SIGKDD Explorations 12(2): 50-53 (2010)
	2009
51		Olufemi A. Omitaomu, Auroop R. Ganguly, João Gama, Ranga Raju Vatsavai, Nitesh V. Chawla, Mohamed Medhat Gaber: Proceedings of the Third International Workshop on Knowledge Discovery from Sensor Data, Paris, France, June 28, 2009 ACM 2009
50		Troy Raeder, Nitesh V. Chawla: Modeling a Store's Product Space as a Social Network. ASONAM 2009: 164-169
49		Ryan Lichtenwalter, Katerina Lichtenwalter, Nitesh V. Chawla: Applying Learning Algorithms to Music Generation. IICAI 2009: 483-502
48		Karsten Steinhaeuser, Nitesh V. Chawla, Auroop R. Ganguly: An exploration of climate data using complex networks. KDD Workshop on Knowledge Discovery from Sensor Data 2009: 23-31
47		Sean McRoskey, James Notwell, Nitesh V. Chawla, Christian Poellabauer: Mining in a mobile environment. KDD Workshop on Knowledge Discovery from Sensor Data 2009: 56-60
46		Ryan Lichtenwalter, Nitesh V. Chawla: Adaptive Methods for Classification in Arbitrarily Imbalanced and Drifting Data Streams. PAKDD Workshops 2009: 53-75
45		Yuchun Tang, Yan-Qing Zhang, Nitesh V. Chawla, Sven Krasser: SVMs Modeling for Highly Imbalanced Classification. IEEE Transactions on Systems, Man, and Cybernetics, Part B 39(1): 281-288 (2009)
44		Troy Raeder, Nitesh V. Chawla: Model Monitor (M2): Evaluating, Comparing, and Monitoring Models. Journal of Machine Learning Research 10: 1387-1390 (2009)
43		David A. Cieslak, Nitesh V. Chawla: A framework for monitoring classifiers' performance: when and why failure occurs? Knowl. Inf. Syst. 18(1): 83-108 (2009)
42		Olufemi A. Omitaomu, Ranga Raju Vatsavai, Auroop R. Ganguly, Nitesh V. Chawla, Joao Gama, Mohamed Medhat Gaber: Knowledge discovery from sensor data (SensorKDD). SIGKDD Explorations 11(2): 84-87 (2009)
	2008
41		Darcy A. Davis, Nitesh V. Chawla, Nicholas Blumm, Nicholas A. Christakis, Albert-László Barabási: Predicting individual disease risk based on medical history. CIKM 2008: 769-778
40		David A. Cieslak, Nitesh V. Chawla: Learning Decision Trees for Unbalanced Data. ECML/PKDD (1) 2008: 241-256
39		David A. Cieslak, Nitesh V. Chawla, Douglas Thain: Troubleshooting thousands of jobs on production grids using data mining techniques. GRID 2008: 217-224
38		David A. Cieslak, Nitesh V. Chawla: Start Globally, Optimize Locally, Predict Globally: Improving Performance on Imbalanced Data. ICDM 2008: 143-152
37		Christopher Moretti, Karsten Steinhaeuser, Douglas Thain, Nitesh V. Chawla: Scaling up Classifiers to Cloud Computers. ICDM 2008: 472-481
36		Nitesh V. Chawla, Douglas Thain, Ryan Lichtenwalter, David A. Cieslak: Data mining on the grid for the grid. IPDPS 2008: 1-5
35		David A. Cieslak, Nitesh V. Chawla: Analyzing PETs on Imbalanced Datasets When Training and Testing Class Distributions Differ. PAKDD 2008: 519-526
34		Douglas Thain, Christopher Moretti, Hoang Bui, Li Yu, Nitesh V. Chawla, Patrick J. Flynn: Using Small Abstractions to Program Large Distributed Systems. eScience 2008: 723-724
33		Nitesh V. Chawla, David A. Cieslak, Lawrence O. Hall, Ajay Joshi: Automatically countering imbalance and its empirical relationship to cost. Data Min. Knowl. Discov. 17(2): 225-252 (2008)
32		Ranga Raju Vatsavai, Olufemi A. Omitaomu, Joao Gama, Nitesh V. Chawla, Mohamed Medhat Gaber, Auroop R. Ganguly: Knowledge discovery from sensor data (SensorKDD). SIGKDD Explorations 10(2): 68-73 (2008)
31		Qi Liao, David A. Cieslak, Aaron Striegel, Nitesh V. Chawla: Using selective, short-term memory to improve resilience against DDoS exhaustion attacks. Security and Communication Networks 1(4): 287-299 (2008)
	2007
30		Nitesh V. Chawla, Kevin W. Bowyer: Actively Exploring Creation of Face Space(s) for Improved Face Recognition. AAAI 2007: 809-814
29		Tanu Malik, Randal C. Burns, Nitesh V. Chawla: A Black-Box Approach to Query Cardinality Estimation. CIDR 2007: 56-67
28		David A. Cieslak, Nitesh V. Chawla: Detecting Fractures in Classifier Performance. ICDM 2007: 123-132
27		Gregory R. Madey, Albert-László Barabási, Nitesh V. Chawla, Marta C. González, David Hachen, Brett Lantz, Alec Pawling, Timothy W. Schoenharl, Gábor Szabó, Pu Wang, Ping Yan: Enhanced Situational Awareness: Application of DDDAS Concepts to Emergency and Disaster Management. International Conference on Computational Science (1) 2007: 1090-1097
26		Nitesh V. Chawla, Jared Sylvester: Exploiting Diversity in Ensembles: Improving the Performance on Unbalanced Datasets. MCS 2007: 397-406
25		Michael J. Chapple, Nitesh V. Chawla, Aaron Striegel: Authentication anomaly detection: a case study on a virtual private network. MineNet 2007: 17-22
24		Alec Pawling, Nitesh V. Chawla, Gregory R. Madey: Anomaly detection in a mobile communication network. Computational & Mathematical Organization Theory 13(4): 407-422 (2007)
	2006
23		David A. Cieslak, Nitesh V. Chawla, Aaron Striegel: Combating imbalance in network intrusion datasets. GrC 2006: 732-737
22		David A. Cieslak, Douglas Thain, Nitesh V. Chawla: Troubleshooting Distributed Systems via Data Mining. HPDC 2006: 309-312
21		Jared Sylvester, Nitesh V. Chawla: Evolutionary Ensemble Creation and Thinning. IJCNN 2006: 5148-5155
20		Alec Pawling, Nitesh V. Chawla, Amitabh Chaudhary: Evaluation of Summarization Schemes for Learning in Streams. PKDD 2006: 347-358
19		Tanu Malik, Randal C. Burns, Nitesh V. Chawla, Alexander S. Szalay: Data management and query - Estimating query result sizes for proxy caching in scientific database federations. SC 2006: 102
18		Yang Liu, Nitesh V. Chawla, Mary P. Harper, Elizabeth Shriberg, Andreas Stolcke: A study in machine learning from imbalanced data for sentence boundary detection in speech. Computer Speech & Language 20(4): 468-494 (2006)
	2005
17		Nitesh V. Chawla, Kevin W. Bowyer: Random Subspaces and Subsampling for 2-D Face Recognition. CVPR (2) 2005: 582-589
16		Nitesh V. Chawla: Many Are Better Than One: Improving Probabilistic Estimates from Decision Trees. MLCW 2005: 41-55
15		Nitesh V. Chawla, Kevin W. Bowyer: Designing Multiple Classifier Systems for Face Recognition. Multiple Classifier Systems 2005: 407-416
14		Nitesh V. Chawla: Data Mining for Imbalanced Datasets: An Overview. The Data Mining and Knowledge Discovery Handbook 2005: 853-867
13		Nitesh V. Chawla, Grigoris J. Karakoulas: Learning From Labeled And Unlabeled Data: An Empirical Study Across Techniques And Domains. J. Artif. Intell. Res. (JAIR) 23: 331-366 (2005)
	2004
12		Predrag Radivojac, Nitesh V. Chawla, A. Keith Dunker, Zoran Obradovic: Classification and knowledge discovery in protein databases. Journal of Biomedical Informatics 37(4): 224-239 (2004)
11		Nitesh V. Chawla, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer: Learning Ensembles from Bites: A Scalable and Accurate Approach. Journal of Machine Learning Research 5: 421-451 (2004)
10		Nitesh V. Chawla, Nathalie Japkowicz, Aleksander Kotcz: Editorial: special issue on learning from imbalanced data sets. SIGKDD Explorations 6(1): 1-6 (2004)
	2003
9		Nitesh V. Chawla, Aleksandar Lazarevic, Lawrence O. Hall, Kevin W. Bowyer: SMOTEBoost: Improving Prediction of the Minority Class in Boosting. PKDD 2003: 107-119
8		Nitesh V. Chawla, Thomas E. Moore, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer, Clayton Springer: Distributed learning with bagging-like performance. Pattern Recognition Letters 24(1-3): 455-471 (2003)
	2002
7		Steven Eschrich, Nitesh V. Chawla, Lawrence O. Hall: Generalization Methods in Bioinformatics. BIOKDD 2002: 25-32
6		Nitesh V. Chawla, Lawrence O. Hall, Kevin W. Bowyer, Thomas E. Moore, W. Philip Kegelmeyer: Distributed Pasting of Small Votes. Multiple Classifier Systems 2002: 52-61
5		Nitesh V. Chawla, Kevin W. Bowyer, Lawrence O. Hall, W. Philip Kegelmeyer: SMOTE: Synthetic Minority Over-sampling Technique. J. Artif. Intell. Res. (JAIR) 16: 321-357 (2002)
	2001
4		Nitesh V. Chawla, Thomas E. Moore, Kevin W. Bowyer, Lawrence O. Hall, Clayton Springer, W. Philip Kegelmeyer: Investigation of bagging-like effects and decision trees versus neural nets in protein secondary structure prediction. BIOKDD 2001: 50-59
3		Nitesh V. Chawla, Thomas E. Moore, Kevin W. Bowyer, Lawrence O. Hall, Clayton Springer, W. Philip Kegelmeyer: Bagging Is a Small-Data-Set Phenomenon. CVPR (2) 2001: 684-689
2		Nitesh V. Chawla, Steven Eschrich, Lawrence O. Hall: Creating Ensembles of Classifiers. ICDM 2001: 580-581
	1999
1		Lawrence O. Hall, Nitesh V. Chawla, Kevin W. Bowyer, W. Philip Kegelmeyer: Learning Rules from Distributed Data. Large-Scale Parallel Data Mining 1999: 211-220

Coauthor Index

1	Paulo J. L. Adeodato	[72]
2	Charu C. Aggarwal	[94]
3	Rocío Alaíz-Rodríguez	[91]
4	Albert-László Barabási	[27] [41] [56]
5	Marina Blanton (Marina Bykova)	[59] [63] [66]
6	Nicholas Blumm	[41]
7	Kevin W. Bowyer	[1] [3] [4] [5] [6] [8] [9] [11] [15] [17] [30] [81]
8	Hoang Bui	[34]
9	Randal C. Burns	[19] [29]
10	Varun Chandola	[52]
11	Michael J. Chapple	[25]
12	Amitabh Chaudhary	[20]
13	Sanjay Chawla	[60]
14	Nicholas A. Christakis	[41] [56]
15	Peter Christen	[72]
16	David A. Cieslak	[22] [23] [28] [31] [33] [35] [36] [38] [39] [40] [43] [60] [92]
17	Darcy A. Davis	[41] [56] [65] [88]
18	Brian Dentino	[65]
19	Gregory Ditzler	[67]
20	A. Keith Dunker	[12]
21	Scott J. Emrich	[57] [70]
22	Mária Ercsey-Ravasz	[78]
23	Steven Eschrich	[2] [7]
24	Michael T. Ferdig	[57] [70]
25	Patrick J. Flynn	[34]
26	Keith B. Frikken	[63]
27	Mohamed Medhat Gaber	[32] [42] [51] [52] [71]
28	João Gama (Joao Gama)	[32] [42] [51] [52] [71]
29	Auroop R. Ganguly	[32] [42] [48] [51] [52] [53] [69] [71] [74] [83] [86]
30	Marta C. González	[27]
31	David Hachen	[27] [80] [82]
32	Lawrence O. Hall	[1] [2] [3] [4] [5] [6] [7] [8] [9] [11] [33] [81]
33	Jiawei Han	[87] [94]
34	Mary P. Harper	[18]
35	Francisco Herrera	[91]
36	T. Ryan Hoens	[59] [62] [66] [68] [84] [92] [95]
37	Nathalie Japkowicz	[10]
38	Ajay Joshi	[33]
39	Grigoris J. Karakoulas	[13] [79]
40	W. Philip Kegelmeyer	[1] [3] [4] [5] [6] [8] [11] [81] [92]
41	Aleksander Kotcz	[10]
42	Sven Krasser	[45]
43	Brett Lantz	[27]
44	Aleksandar Lazarevic	[9]
45	Philippe Lenca	[72]
46	Qi Liao	[31]
47	Katerina Lichtenwalter	[49] [55]
48	Ryan Lichtenwalter	[36] [46] [49] [55] [64] [77] [78] [88] [89] [93]
49	Wei Liu	[60]
50	Yang Liu	[18]
51	Omar Lizardo	[80] [82]
52	Jake T. Lussier	[61] [64] [85]
53	Gregory R. Madey	[24] [27]
54	Tanu Malik	[19] [29]
55	Sean McRoskey	[47]
56	Paul Melby	[73]
57	Thomas E. Moore	[3] [4] [6] [8]
58	Jose G. Moreno-Torres	[91]
59	Christopher Moretti	[34] [37]
60	Cholwich Nattee	[72]
61	James Notwell	[47]
62	Zoran Obradovic	[12]
63	Olufemi A. Omitaomu	[32] [42] [51] [52] [71]
64	Saurav Pandit	[87]
65	Alec Pawling	[20] [24] [27]
66	Alex Pelan	[86]
67	Amal Perera (Amal Shehan Perera)	[90]
68	Dilkushi A. de Alwis Pitts	[86]
69	Christian Poellabauer	[47]
70	Robi Polikar	[67] [84]
71	Josiah Poon	[72]
72	Qi Qian	[95]
73	Predrag Radivojac	[12]
74	Troy Raeder	[44] [50] [61] [63] [68] [76] [82] [91]
75	Andrew K. Rider	[57] [70]
76	Timothy W. Schoenharl	[27]
77	Elizabeth Shriberg	[18]
78	Geoffrey Siwo	[57] [70]
79	Clayton Springer	[3] [4] [8]
80	Ashok N. Srivastava	[73] [75] [90]
81	Karsten Steinhaeuser	[37] [48] [53] [54] [69] [74] [83] [86]
82	Andreas Stolcke	[18]
83	Anthony Strathman	[80]
84	Aaron Striegel	[23] [25] [31]
85	Yizhou Sun	[87] [94]
86	Jared Sylvester	[21] [26]
87	Gábor Szabó	[27]
88	Alexander S. Szalay	[19]
89	Yuchun Tang	[45]
90	Douglas Thain	[22] [34] [36] [37] [39]
91	Thanaruk Theeramunkong	[72]
92	Zoltán Toroczkai	[78] [80]
93	Ranga Raju Vatsavai	[32] [42] [51] [52] [71]
94	Cheng Wang	[80]
95	Pu Wang	[27]
96	Graham J. Williams	[72]
97	Ping Yan	[27]
98	Yang Yang	[87]
99	Li Yu	[34]
100	Philip S. Yu	[73]
101	Yanqing Zhang (Yan-Qing Zhang)	[45]
102	Zhi-Hua Zhou	[95]

Colors in the list of coauthors

Last update Tue May 29 01:28:40 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page