C. David Page Jr.

David Page

	2012
76		Jie Liu, Chunming Zhang, Catherine A. McCarty, Peggy L. Peissig, Elizabeth S. Burnside, C. David Page Jr.: High-Dimensional Structured Feature Screening Using Binary Markov Random Fields. Journal of Machine Learning Research - Proceedings Track 22: 712-721 (2012)
	2011
75		Trevor Walker, Gautam Kunapuli, Noah Larsen, David Page, Jude W. Shavlik: Integrating knowledge capture and supervised learning through a human-computer interface. K-CAP 2011: 89-96
	2010
74		Houssam Nassif, David Page, Mehmet Ayvaci, Jude W. Shavlik, Elizabeth S. Burnside: Uncovering age-specific invasive and DCIS breast cancer rules using inductive logic programming. IHI 2010: 76-82
73		Trevor Walker, Ciaran O'Reilly, Gautam Kunapuli, Sriraam Natarajan, Richard Maclin, David Page, Jude W. Shavlik: Automating the ILP Setup Task: Converting User Advice about Specific Examples into General Background Knowledge. ILP 2010: 253-268
72		C. David Page Jr., Sriraam Natarajan: Biomedical Informatics. Encyclopedia of Machine Learning 2010: 132
71		Chung-Hao Chen, Yi Yao, David Page, Besma R. Abidi, Andreas Koschan, Mongi A. Abidi: Camera handoff and placement for automated tracking systems with multiple omnidirectional cameras. Computer Vision and Image Understanding 114(2): 179-197 (2010)
70		Yi Yao, Chung-Hao Chen, Besma R. Abidi, David Page, Andreas Koschan, Mongi A. Abidi: Multi-Camera Positioning for Automated Tracking Systems in Dynamic Environments. I. J. Information Acquisition 7(3): 225-242 (2010)
69		Ryan W. Woods, Louis Oliphant, Kazuhiko Shinki, David Page, Jude W. Shavlik, Elizabeth S. Burnside: Validation of Results from Knowledge Discovery: Mass Density as a Predictor of Breast Cancer. J. Digital Imaging 23(5): 554-561 (2010)
	2009
68		Houssam Nassif, Ryan W. Woods, Elizabeth S. Burnside, Mehmet Ayvaci, Jude W. Shavlik, David Page: Information Extraction for Clinical Data Mining: A Mammography Case Study. ICDM Workshops 2009: 37-42
67		Houssam Nassif, Hassan Al-Ali, Sawsan Khuri, Walid Keirouz, David Page: An Inductive Logic Programming Approach to Validate Hexose Binding Biochemical Knowledge. ILP 2009: 149-165
66		Lisa Hellerstein, Bernard Rosell, Eric Bach, Soumya Ray, David Page: Exploiting Product Distributions to Identify Relevant Variables of Correlation Immune Functions. Journal of Machine Learning Research 10: 2374-2411 (2009)
	2008
65		Yi Yao, Chung-Hao Chen, Besma R. Abidi, David Page, Andreas Koschan, Mongi A. Abidi: Sensor planning for automated and persistent object tracking with multiple cameras. CVPR 2008
64		Yi Yao, Chung-Hao Chen, Besma R. Abidi, David Page, Andreas Koschan, Mongi A. Abidi: Sensor planning for PTZ cameras using the probability of camera overload. ICPR 2008: 1-5
63		Sean McIlwain, David Page, Edward L. Huttlin, Michael R. Sussman: Matching isotopic distributions from metabolically labeled samples. ISMB 2008: 339-347
62		Vítor Santos Costa, David Page, James Cussens: CLP(BN): Constraint Logic Programming for Probabilistic Knowledge. Probabilistic Inductive Logic Programming 2008: 156-188
61		Chung-Hao Chen, Yi Yao, David Page, Besma R. Abidi, Andreas Koschan, Mongi A. Abidi: Heterogeneous Fusion of Omnidirectional and PTZ Cameras for Multiple Object Tracking. IEEE Trans. Circuits Syst. Video Techn. 18(8): 1052-1063 (2008)
	2007
60		Jesse Davis, Vítor Santos Costa, Soumya Ray, David Page: An integrated approach to feature invention and model construction for drug activity prediction. ICML 2007: 217-224
59		Jesse Davis, Irene M. Ong, Jan Struyf, Elizabeth S. Burnside, David Page, Vítor Santos Costa: Change of Representation for Statistical Relational Learning. IJCAI 2007: 2719-2726
58		Sean McIlwain, David Page, Edward L. Huttlin, Michael R. Sussman: Using dynamic programming to create isotopic distribution maps from mass spectra. ISMB/ECCB (Supplement of Bioinformatics) 2007: 328-336
57		Eric Lantz, Soumya Ray, David Page: Learning Bayesian Network Structure from Correlation-Immune Data. UAI 2007: 235-242
	2006
56		Sreenivas R. Sukumar, David Page, Andrei V. Gribok, Andreas Koschan, Mongi A. Abidi: Shape Measure for Identifying Perceptually Informative Parts of 3D Objects. 3DPVT 2006: 679-686
55		Jan Struyf, Jesse Davis, C. David Page Jr.: An Efficient Approximation to Lookahead in Relational Learners. ECML 2006: 775-782
54		Irene M. Ong, Scott E. Topper, C. David Page Jr., Vítor Santos Costa: Inferring Regulatory Networks from Time Series Expression Data and Relational Data Via Inductive Logic Programming. ILP 2006: 366-378
53		Aline Paes, Filip Zelezný, Gerson Zaverucha, C. David Page Jr., Ashwin Srinivasan: ILP Through Propositionalization and Stochastic k-Term DNF Learning. ILP 2006: 379-393
52		C. David Page Jr., Irene M. Ong: Experimental Design of Time Series Data for Learning from Dynamic Bayesian Networks. Pacific Symposium on Biocomputing 2006: 267-278
51		Filip Zelezný, Ashwin Srinivasan, C. David Page Jr.: Randomised restarted search in ILP. Machine Learning 64(1-3): 183-208 (2006)
50		Ashwin Srinivasan, David Page, Rui Camacho, Ross D. King: Quantitative pharmacophore models with inductive logic programming. Machine Learning 64(1-3): 65-90 (2006)
	2005
49		Irene M. Ong, Inês de Castro Dutra, David Page, Vítor Santos Costa: Mode Directed Path Finding. ECML 2005: 673-681
48		Jesse Davis, Elizabeth S. Burnside, Inês de Castro Dutra, David Page, Vítor Santos Costa: An Integrated Approach to Learning Bayesian Networks of Rules. ECML 2005: 84-95
47		Hendrik Blockeel, David Page, Ashwin Srinivasan: Multi-instance tree learning. ICML 2005: 57-64
46		Soumya Ray, David Page: Generalized skewing for functions with continuous and nominal attributes. ICML 2005: 705-712
45		Bernard Rosell, Lisa Hellerstein, Soumya Ray, David Page: Why skewing works: learning difficult Boolean functions with greedy tree learners. ICML 2005: 728-735
44		Jesse Davis, Elizabeth S. Burnside, Inês de Castro Dutra, David Page, Raghu Ramakrishnan, Vítor Santos Costa, Jude W. Shavlik: View Learning for Statistical Relational Learning: With an Application to Mammography. IJCAI 2005: 677-683
43		Héctor Corrada Bravo, David Page, Raghu Ramakrishnan, Jude W. Shavlik, Vítor Santos Costa: A Framework for Set-Oriented Computation in Inductive Logic Programming and Its Application in Generalizing Inverse Entailment. ILP 2005: 69-86
	2004
42		Soumya Ray, David Page: Sequential skewing: an improved skewing algorithm. ICML 2004
41		Filip Zelezný, Ashwin Srinivasan, David Page: A Monte Carlo Study of Randomised Restarted Search in ILP. ILP 2004: 341-358
40		Michael Molla, Michael Waddell, David Page, Jude W. Shavlik: Using Machine Learning to Design and Interpret Gene-Expression Microarrays. AI Magazine 25(1): 23-44 (2004)
	2003
39		James H. Graham, C. David Page Jr., Ahmed H. Kamal: Accelerating the Drug Design Process through Parallel Inductive Logic Programming Data Mining. CSB 2003: 400-402
38		Inês de Castro Dutra, David Page, Vítor Santos Costa, Jude W. Shavlik, Michael Waddell: Toward Automatic Management of Embarrassingly Parallel Applications. Euro-Par 2003: 509-516
37		David Page, Soumya Ray: Skewing: An Efficient Alternative to Lookahead for Decision Tree Induction. IJCAI 2003: 601-612
36		C. David Page Jr.: The Role of Declarative Languages in Mining Biological Databases. PADL 2003: 1
35		Vítor Santos Costa, David Page, Maleeha Qazi, James Cussens: CLP(BN): Constraint Logic Programming for Probabilistic Knowledge. UAI 2003: 517-524
34		Joseph Bockhorst, Mark Craven, David Page, Jude W. Shavlik, Jeremy D. Glasner: A Bayesian Network Approach to Operon Prediction. Bioinformatics 19(10): 1227-1235 (2003)
33		Ahmed H. Kamal, James H. Graham, C. David Page Jr.: A Parallel Inductive Logic Programming Data Mining System for Drug Discovery. I. J. Comput. Appl. 10(3): 161-170 (2003)
32		David Page, Ashwin Srinivasan: ILP: A Short Look Back and a Longer Look Forward. Journal of Machine Learning Research 4: 415-430 (2003)
31		David Page, Mark Craven: Biological applications of multi-relational data mining. SIGKDD Explorations 5(1): 69-79 (2003)
	2002
30		Filip Zelezný, Ashwin Srinivasan, David Page: Lattice-Search Runtime Distributions May Be Heavy-Tailed. ILP 2002: 333-345
29		Inês de Castro Dutra, David Page, Vítor Santos Costa, Jude W. Shavlik: An Empirical Evaluation of Bagging in Inductive Logic Programming. ILP 2002: 48-65
28		Irene M. Ong, Jeremy D. Glasner, David Page: Modelling regulatory pathways in E. coli from time series expression profiles. ISMB 2002: 241-248
27		Jie Cheng, Christor Hatzis, Hisashi Hayashi, Mark-A. Krogel, Shinichi Morishita, David Page, Jun Sese: KDD Cup 2001 Report. SIGKDD Explorations 3(2): 47-64 (2002)
	2001
26		Soumya Ray, David Page: Multiple Instance Regression. ICML 2001: 425-432
25		Ahmed H. Kamal, James H. Graham, C. David Page Jr.: An Approach to Parallel Data Mining for Pharmacophore Discovery. ISCA Conference on Intelligent Systems 2001: 100-103
24		David Page, James H. Graham: Guest Editor's Introduction. I. J. Comput. Appl. 8(2): (2001)
	2000
23		David Page, James H. Graham: ISCA 9th International Conference on Intelligent Systems, ICIS 2000, June 15-17, 2000, the Galt House, Louisville, Kentucky, USA ISCA 2000
22		David Page: ILP: Just Do It. Computational Logic 2000: 25-40
21		Mark Craven, David Page, Jude W. Shavlik, Joseph Bockhorst, Jeremy D. Glasner: Using Multiple Levels of Learning and Diverse Evidence to Uncover Coordinately Controlled Genes. ICML 2000: 199-206
20		David Page: ILP: Just Do It. ILP 2000: 3-18
19		Mark Craven, David Page, Jude W. Shavlik, Joseph Bockhorst, Jeremy D. Glasner: A Probabilistic Learning Approach to Whole-Genome Operon Prediction. ISMB 2000: 116-127
	1999
18		Stephen Muggleton, David Page: Guest Editors' Introduction: Inductive Logic Programming. J. Log. Program. 40(2-3): 125-126 (1999)
	1998
17		David Page: Inductive Logic Programming, 8th International Workshop, ILP-98, Madison, Wisconsin, USA, July 22-24, 1998, Proceedings Springer 1998
16		Chris Phillips, Steven Adams, David Page, Daniela Mehandjiska: The Design of the Client User Interface for a Meta Object-Oriented CASE Tool. TOOLS (28) 1998: 156-167
15		Paul W. Finn, Stephen Muggleton, David Page, Ashwin Srinivasan: Pharmacophore Discovery Using the Inductive Logic Programming System PROGOL. Machine Learning 30(2-3): 241-270 (1998)
	1997
14		Stephen Muggleton, David Page: Guest Editors' Introduction. Machine Learning 26(2-3): 97-98 (1997)
	1996
13		Stephen Muggleton, David Page, Ashwin Srinivasan: An Initial Experiment into Stereochemistry-Based Drug Design Using Inductive Logic Programming. Inductive Logic Programming Workshop 1996: 25-40
12		Daniela Mehandjiska-Stavreva, David Page, Mi Duk Choi: Meta-Modelling and Methodology Support in Object-Oriented CASE Tools. OOIS 1996: 370-
	1995
11		Alan M. Frisch, C. David Page Jr.: Building Theories into Instantiation. IJCAI 1995: 1210-1216
10		Stephen Muggleton, David Page: A Learnability Model for Universal Representations and Its Application to Top-down Induction of Decision Trees. Machine Intelligence 15 1995: 248-267
9		Daniela Mehandjiska-Stavreva, David Page, Jonanthan Ham: Template Generator for a Methodology Independent Object-Oriented Case Tool. OOIS 1995: 232-247
8		William W. Cohen, C. David Page Jr.: Polynomial Learnability and Inductive Logic Programming: Methods and Results. New Generation Comput. 13(3&4): 369-409 (1995)
	1994
7		Daniela Mehandjiska-Stavreva, David Page, Paul K. Clark: Development of an Intelligent Object-Oriented CASE Tool. OOIS 1994: 215-226
6		David Page, Paul K. Clark, Daniela Mehandjiska-Stavreva: An Abstract Definition of Graphical Notations for Object-Oriented Information Systems. OOIS 1994: 266-276
5		Michael Frazier, C. David Page Jr.: Prefix Grammars: An Alternative Characterization of the Regular Languages. Inf. Process. Lett. 51(2): 67-71 (1994)
	1993
4		Michael Frazier, C. David Page Jr.: Learnability in Inductive Logic Programrning: Some Basic Results and Techniques. AAAI 1993: 93-98
	1991
3		C. David Page Jr., Alan M. Frisch: Generalizing Atoms in Constraint Logic. KR 1991: 429-440
2		C. David Page Jr., Alan M. Frisch: Learning Constrained Atoms. ML 1991: 427-431
	1990
1		Alan M. Frisch, C. David Page Jr.: Generalization with Taxonomic Information. AAAI 1990: 755-761

Coauthor Index

1	Mongi A. Abidi	[56] [61] [64] [65] [70] [71]
2	Steven Adams	[16]
3	Hassan Al-Ali	[67]
4	Mehmet Ayvaci	[68] [74]
5	Eric Bach	[66]
6	Hendrik Blockeel	[47]
7	Joseph Bockhorst	[19] [21] [34]
8	Héctor Corrada Bravo	[43]
9	Elizabeth S. Burnside	[44] [48] [59] [68] [69] [74] [76]
10	Rui Camacho	[50]
11	Chung-Hao Chen	[61] [64] [65] [70] [71]
12	Jie Cheng	[27]
13	Mi Duk Choi	[12]
14	Paul K. Clark	[6] [7]
15	William W. Cohen	[8]
16	Vítor Santos Costa	[29] [35] [38] [43] [44] [48] [49] [54] [59] [60] [62]
17	Mark Craven	[19] [21] [31] [34]
18	James Cussens	[35] [62]
19	Jesse Davis	[44] [48] [55] [59] [60]
20	Inês de Castro Dutra	[29] [38] [44] [48] [49]
21	Paul W. Finn	[15]
22	Michael Frazier	[4] [5]
23	Alan M. Frisch	[1] [2] [3] [11]
24	Jeremy D. Glasner	[19] [21] [28] [34]
25	James H. Graham	[23] [24] [25] [33] [39]
26	Andrei V. Gribok	[56]
27	Jonanthan Ham	[9]
28	Christor Hatzis	[27]
29	Hisashi Hayashi	[27]
30	Lisa Hellerstein	[45] [66]
31	Edward L. Huttlin	[58] [63]
32	Ahmed H. Kamal	[25] [33] [39]
33	Walid Keirouz	[67]
34	Sawsan Khuri	[67]
35	Ross D. King	[50]
36	Andreas Koschan	[56] [61] [64] [65] [70] [71]
37	Mark-A. Krogel	[27]
38	Gautam Kunapuli	[73] [75]
39	Eric Lantz	[57]
40	Noah Larsen	[75]
41	Jie Liu	[76]
42	Richard Maclin	[73]
43	Catherine A. McCarty	[76]
44	Sean McIlwain	[58] [63]
45	Daniela Mehandjiska	[16]
46	Daniela Mehandjiska-Stavreva	[6] [7] [9] [12]
47	Michael Molla	[40]
48	Shinichi Morishita	[27]
49	Stephen Muggleton	[10] [13] [14] [15] [18]
50	Houssam Nassif	[67] [68] [74]
51	Sriraam Natarajan	[72] [73]
52	Ciaran O'Reilly	[73]
53	Louis Oliphant	[69]
54	Irene M. Ong	[28] [49] [52] [54] [59]
55	Aline Paes	[53]
56	Peggy L. Peissig	[76]
57	Chris Phillips	[16]
58	Maleeha Qazi	[35]
59	Raghu Ramakrishnan	[43] [44]
60	Soumya Ray	[26] [37] [42] [45] [46] [57] [60] [66]
61	Bernard Rosell	[45] [66]
62	Besma Roui-Abidi (Besma R. Abidi)	[61] [64] [65] [70] [71]
63	Jun Sese	[27]
64	Jude W. Shavlik	[19] [21] [29] [34] [38] [40] [43] [44] [68] [69] [73] [74] [75]
65	Kazuhiko Shinki	[69]
66	Ashwin Srinivasan	[13] [15] [30] [32] [41] [47] [50] [51] [53]
67	Jan Struyf	[55] [59]
68	Sreenivas R. Sukumar	[56]
69	Michael R. Sussman	[58] [63]
70	Scott E. Topper	[54]
71	Michael Waddell	[38] [40]
72	Trevor Walker	[73] [75]
73	Ryan W. Woods	[68] [69]
74	Yi Yao	[61] [64] [65] [70] [71]
75	Gerson Zaverucha	[53]
76	Filip Zelezný	[30] [41] [51] [53]
77	Chunming Zhang	[76]

Colors in the list of coauthors

Last update Fri May 25 01:42:58 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page