C. David Page Jr. Vis

David Page

*	2008
63	EE	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
62	EE	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
61	EE	Sean McIlwain, David Page, Edward L. Huttlin, Michael R. Sussman: Matching isotopic distributions from metabolically labeled samples. ISMB 2008: 339-347
60	EE	Vítor Santos Costa, David Page, James Cussens: CLP(BN): Constraint Logic Programming for Probabilistic Knowledge. Probabilistic Inductive Logic Programming 2008: 156-188
59	EE	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
58	EE	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
57	EE	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
56	EE	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
	2006
55	EE	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
54	EE	Jan Struyf, Jesse Davis, C. David Page Jr.: An Efficient Approximation to Lookahead in Relational Learners. ECML 2006: 775-782
53	EE	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
52	EE	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
51	EE	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
50	EE	Filip Zelezný, Ashwin Srinivasan, C. David Page Jr.: Randomised restarted search in ILP. Machine Learning 64(1-3): 183-208 (2006)
49	EE	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
48	EE	Irene M. Ong, Inês de Castro Dutra, David Page, Vítor Santos Costa: Mode Directed Path Finding. ECML 2005: 673-681
47	EE	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
46	EE	Hendrik Blockeel, David Page, Ashwin Srinivasan: Multi-instance tree learning. ICML 2005: 57-64
45	EE	Soumya Ray, David Page: Generalized skewing for functions with continuous and nominal attributes. ICML 2005: 705-712
44	EE	Bernard Rosell, Lisa Hellerstein, Soumya Ray, David Page: Why skewing works: learning difficult Boolean functions with greedy tree learners. ICML 2005: 728-735
43	EE	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
42	EE	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
41	EE	Soumya Ray, David Page: Sequential skewing: an improved skewing algorithm. ICML 2004
40	EE	Filip Zelezný, Ashwin Srinivasan, David Page: A Monte Carlo Study of Randomised Restarted Search in ILP. ILP 2004: 341-358
39		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
38	EE	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
37	EE	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
36		David Page, Soumya Ray: Skewing: An Efficient Alternative to Lookahead for Decision Tree Induction. IJCAI 2003: 601-612
35	EE	C. David Page Jr.: The Role of Declarative Languages in Mining Biological Databases. PADL 2003: 1
34		Vítor Santos Costa, David Page, Maleeha Qazi, James Cussens: CLP(BN): Constraint Logic Programming for Probabilistic Knowledge. UAI 2003: 517-524
33		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)
32		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)
31	EE	David Page, Ashwin Srinivasan: ILP: A Short Look Back and a Longer Look Forward. Journal of Machine Learning Research 4: 415-430 (2003)
30	EE	David Page, Mark Craven: Biological applications of multi-relational data mining. SIGKDD Explorations 5(1): 69-79 (2003)
	2002
29	EE	Filip Zelezný, Ashwin Srinivasan, David Page: Lattice-Search Runtime Distributions May Be Heavy-Tailed. ILP 2002: 333-345
28	EE	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
27		Irene M. Ong, Jeremy D. Glasner, David Page: Modelling regulatory pathways in E. coli from time series expression profiles. ISMB 2002: 241-248
26	EE	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
25		Soumya Ray, David Page: Multiple Instance Regression. ICML 2001: 425-432
24		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
23		David Page, James H. Graham: Guest Editor's Introduction. I. J. Comput. Appl. 8(2): (2001)
	2000
22	EE	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	EE	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	EE	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	Besma R. Abidi	[59] [62] [63]
2	Mongi A. Abidi	[55] [59] [62] [63]
3	Steven Adams	[16]
4	Hendrik Blockeel	[46]
5	Joseph Bockhorst	[19] [21] [33]
6	Héctor Corrada Bravo	[42]
7	Elizabeth S. Burnside	[43] [47] [57]
8	Rui Camacho	[49]
9	Chung-Hao Chen	[59] [62] [63]
10	Jie Cheng	[26]
11	Mi Duk Choi	[12]
12	Paul K. Clark	[6] [7]
13	William W. Cohen	[8]
14	Vítor Santos Costa	[28] [34] [37] [42] [43] [47] [48] [53] [57] [58] [60]
15	Mark Craven	[19] [21] [30] [33]
16	James Cussens	[34] [60]
17	Jesse Davis	[43] [47] [54] [57] [58]
18	Inês de Castro Dutra	[28] [37] [43] [47] [48]
19	Paul W. Finn	[15]
20	Michael Frazier	[4] [5]
21	Alan M. Frisch	[1] [2] [3] [11]
22	Jeremy D. Glasner	[19] [21] [27] [33]
23	James H. Graham	[23] [24] [32] [38]
24	Andrei V. Gribok	[55]
25	Jonanthan Ham	[9]
26	Christor Hatzis	[26]
27	Hisashi Hayashi	[26]
28	Lisa Hellerstein	[44]
29	Edward L. Huttlin	[56] [61]
30	Ahmed H. Kamal	[24] [32] [38]
31	Ross D. King	[49]
32	Andreas Koschan	[55] [59] [62] [63]
33	Mark-A. Krogel	[26]
34	Sean McIlwain	[56] [61]
35	Daniela Mehandjiska	[16]
36	Daniela Mehandjiska-Stavreva	[6] [7] [9] [12]
37	Michael Molla	[39]
38	Shinichi Morishita	[26]
39	Stephen Muggleton	[10] [13] [14] [15] [18]
40	Irene M. Ong	[27] [48] [51] [53] [57]
41	Aline Paes	[52]
42	Chris Phillips	[16]
43	Maleeha Qazi	[34]
44	Raghu Ramakrishnan	[42] [43]
45	Soumya Ray	[25] [36] [41] [44] [45] [58]
46	Bernard Rosell	[44]
47	Jun Sese	[26]
48	Jude W. Shavlik	[19] [21] [28] [33] [37] [39] [42] [43]
49	Ashwin Srinivasan	[13] [15] [29] [31] [40] [46] [49] [50] [52]
50	Jan Struyf	[54] [57]
51	Sreenivas R. Sukumar	[55]
52	Michael R. Sussman	[56] [61]
53	Scott E. Topper	[53]
54	Michael Waddell	[37] [39]
55	Yi Yao	[59] [62] [63]
56	Gerson Zaverucha	[52]
57	Filip Zelezný	[29] [40] [50] [52]

Colors in the list of coauthors