Saso Dzeroski

	2012
150		Daniela Stojanova, Andrej Kobler, Peter Ogrinc, Bernard Zenko, Saso Dzeroski: Estimating the risk of fire outbreaks in the natural environment. Data Min. Knowl. Discov. 24(2): 411-442 (2012)
149		Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski: Hierarchical classification of diatom images using ensembles of predictive clustering trees. Ecological Informatics 7(1): 19-29 (2012)
148		Gjorgji Madjarov, Dejan Gjorgjevikj, Saso Dzeroski: Two stage architecture for multi-label learning. Pattern Recognition 45(3): 1019-1034 (2012)
	2011
147		Mitja Pugelj, Saso Dzeroski: Predicting Structured Outputs k-Nearest Neighbours Method. Discovery Science 2011: 262-276
146		Daniela Stojanova, Michelangelo Ceci, Annalisa Appice, Donato Malerba, Saso Dzeroski: Global and Local Spatial Autocorrelation in Predictive Clustering Trees. Discovery Science 2011: 307-322
145		Daniela Stojanova, Michelangelo Ceci, Annalisa Appice, Saso Dzeroski: Network Regression with Predictive Clustering Trees. ECML/PKDD (3) 2011: 333-348
144		Elena Ikonomovska, Saso Dzeroski: Regression on evolving multi-relational data streams. EDBT/ICDT Ph.D. Workshop 2011: 1-7
143		Elena Ikonomovska, Kurt Driessens, Saso Dzeroski, João Gama: Adaptive Windowing for Online Learning from Multiple Inter-related Data Streams. ICDM Workshops 2011: 697-704
142		Saso Dzeroski: Inductive Databases and Constraint-Based Data Mining. ICFCA 2011: 1-17
141		Elena Ikonomovska, João Gama, Bernard Zenko, Saso Dzeroski: Speeding-Up Hoeffding-Based Regression Trees With Options. ICML 2011: 537-544
140		Gjorgji Madjarov, Dejan Gjorgjevikj, Saso Dzeroski: Dual Layer Voting Method for Efficient Multi-label Classification. IbPRIA 2011: 232-239
139		Elena Ikonomovska, João Gama, Saso Dzeroski: Incremental multi-target model trees for data streams. SAC 2011: 988-993
138		Elena Ikonomovska, João Gama, Saso Dzeroski: Learning model trees from evolving data streams. Data Min. Knowl. Discov. 23(1): 128-168 (2011)
137		Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski: Hierarchical annotation of medical images. Pattern Recognition 44(10-11): 2436-2449 (2011)
	2010
136		Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski: Detection of Visual Concepts and Annotation of Images Using Predictive Clustering Trees. CLEF (Notebook Papers/LABs/Workshops) 2010
135		Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski: Detection of Visual Concepts and Annotation of Images Using Ensembles of Trees for Hierarchical Multi-Label Classification. ICPR Contests 2010: 152-161
134		Saso Dzeroski: Relational Data Mining. Data Mining and Knowledge Discovery Handbook 2010: 887-911
133		Leander Schietgat, Celine Vens, Jan Struyf, Hendrik Blockeel, Dragi Kocev, Saso Dzeroski: Predicting gene function using hierarchical multi-label decision tree ensembles. BMC Bioinformatics 11: 2 (2010)
132		Daniela Stojanova, Pance Panov, Valentin Gjorgjioski, Andrej Kobler, Saso Dzeroski: Estimating vegetation height and canopy cover from remotely sensed data with machine learning. Ecological Informatics 5(4): 256-266 (2010)
131		Saso Dzeroski, Pierre Geurts, Juho Rousu: Preface. Journal of Machine Learning Research - Proceedings Track 8: 1-2 (2010)
130		Ivica Slavkov, Bernard Zenko, Saso Dzeroski: Evaluation Method for Feature Rankings and their Aggregations for Biomarker Discovery. Journal of Machine Learning Research - Proceedings Track 8: 122-135 (2010)
	2009
129		Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski: ImageCLEF 2009 Medical Image Annotation Task: PCTs for Hierarchical Multi-Label Classification. CLEF (2) 2009: 231-238
128		Pance Panov, Larisa N. Soldatova, Saso Dzeroski: Towards an Ontology of Data Mining Investigations. Discovery Science 2009: 257-271
127		Timo Aho, Bernard Zenko, Saso Dzeroski: Rule Ensembles for Multi-target Regression. ICDM 2009: 21-30
126		Andreja Naumoski, Dragi Kocev, Natasa Atanasova, Kosta Mitreski, Svetislav Krstic, Saso Dzeroski: Predicting chemical parameters of the water from diatom abudance in lake Prespa and its tributaries. ITEE 2009: 264-277
125		Saso Dzeroski, Pance Panov, Bernard Zenko: Machine Learning, Ensemble Methods in. Encyclopedia of Complexity and Systems Science 2009: 5317-5325
	2008
124		Pance Panov, Saso Dzeroski, Larisa N. Soldatova: OntoDM: An Ontology of Data Mining. ICDM Workshops 2008: 752-760
123		Aleksandar Peckov, Saso Dzeroski, Ljupco Todorovski: A Minimal Description Length Scheme for Polynomial Regression. PAKDD 2008: 284-295
122		Bernard Zenko, Saso Dzeroski: Learning Classification Rules for Multiple Target Attributes. PAKDD 2008: 454-465
121		Will Bridewell, Pat Langley, Ljupco Todorovski, Saso Dzeroski: Inductive process modeling. Machine Learning 71(1): 1-32 (2008)
120		Celine Vens, Jan Struyf, Leander Schietgat, Saso Dzeroski, Hendrik Blockeel: Decision trees for hierarchical multi-label classification. Machine Learning 73(2): 185-214 (2008)
	2007
119		Saso Dzeroski, Ljupco Todorovski: Computational Discovery of Scientific Knowledge, Introduction, Techniques, and Applications in Environmental and Life Sciences Springer 2007
118		Saso Dzeroski, Jan Struyf: Knowledge Discovery in Inductive Databases, 5th International Workshop, KDID 2006, Berlin, Germany, September 18, 2006, Revised Selected and Invited Papers Springer 2007
117		Saso Dzeroski, Pat Langley, Ljupco Todorovski: Computational Discovery of Scientific Knowledge. Computational Discovery of Scientific Knowledge 2007: 1-14
116		Dimitar Hristovski, Borut Peterlin, Saso Dzeroski, Janez Stare: Literature Based Discovery Support System and Its Application to Disease Gene Identification. Computational Discovery of Scientific Knowledge 2007: 307-326
115		Ljupco Todorovski, Saso Dzeroski: Integrating Domain Knowledge in Equation Discovery. Computational Discovery of Scientific Knowledge 2007: 69-97
114		Jan Struyf, Saso Dzeroski: Clustering Trees with Instance Level Constraints. ECML 2007: 359-370
113		Annalisa Appice, Saso Dzeroski: Stepwise Induction of Multi-target Model Trees. ECML 2007: 502-509
112		Dragi Kocev, Celine Vens, Jan Struyf, Saso Dzeroski: Ensembles of Multi-Objective Decision Trees. ECML 2007: 624-631
111		Pance Panov, Saso Dzeroski: Combining Bagging and Random Subspaces to Create Better Ensembles. IDA 2007: 118-129
110		Annalisa Appice, Saso Dzeroski: Inducing Multi-Target Model Trees in a Stepwise Fashion. SEBD 2007: 16-27
109		Katerina Taskova, Daniela Stojanova, Marko Bohanec, Saso Dzeroski: A Qualitative Decision-Support Model for Evaluating Researchers. Informatica (Slovenia) 31(4): 479-486 (2007)
108		Saso Dzeroski, Jan Struyf: 5th international workshop on knowledge discovery in inductive databases (KDID'06): workshop report. SIGKDD Explorations 9(1): 56-58 (2007)
	2006
107		Taneli Mielikäinen, Pance Panov, Saso Dzeroski: Itemset Support Queries Using Frequent Itemsets and Their Condensed Representations. Discovery Science 2006: 161-172
106		Saso Dzeroski: From Inductive Logic Programming to Relational Data Mining. JELIA 2006: 1-14
105		Dragi Kocev, Jan Struyf, Saso Dzeroski: Beam Search Induction and Similarity Constraints for Predictive Clustering Trees. KDID 2006: 134-151
104		Saso Dzeroski: Towards a General Framework for Data Mining. KDID 2006: 259-300
103		Saso Dzeroski, Valentin Gjorgjioski, Ivica Slavkov, Jan Struyf: Analysis of Time Series Data with Predictive Clustering Trees. KDID 2006: 63-80
102		Hendrik Blockeel, Leander Schietgat, Jan Struyf, Saso Dzeroski, Amanda Clare: Decision Trees for Hierarchical Multilabel Classification: A Case Study in Functional Genomics. PKDD 2006: 18-29
101		Anneleen Van Assche, Celine Vens, Hendrik Blockeel, Saso Dzeroski: First order random forests: Learning relational classifiers with complex aggregates. Machine Learning 64(1-3): 149-182 (2006)
	2005
100		Kurt Driessens, Saso Dzeroski: Combining Model-Based and Instance-Based Learning for First Order Regression. BNAIC 2005: 341-342
99		Jan Struyf, Saso Dzeroski, Hendrik Blockeel, Amanda Clare: Hierarchical Multi-classification with Predictive Clustering Trees in Functional Genomics. EPIA 2005: 272-283
98		Kurt Driessens, Saso Dzeroski: Combining model-based and instance-based learning for first order regression. ICML 2005: 193-200
97		Jan Struyf, Saso Dzeroski: Constraint Based Induction of Multi-objective Regression Trees. KDID 2005: 222-233
96		Bernard Zenko, Saso Dzeroski, Jan Struyf: Learning Predictive Clustering Rules. KDID 2005: 234-250
95		Saso Dzeroski: Relational Data Mining. The Data Mining and Knowledge Discovery Handbook 2005: 869-898
94		Hendrik Blockeel, Saso Dzeroski: Multi-Relational Data Mining 2005: workshop report. SIGKDD Explorations 7(2): 126-128 (2005)
	2004
93		Saso Dzeroski, Ljupco Todorovski, Peter Ljubic: Inductive Queries on Polynomial Equations. Constraint-Based Mining and Inductive Databases 2004: 127-154
92		Saso Dzeroski, Ljupco Todorovski, Peter Ljubic: Inductive Databases of Polynomial Equations. DaWaK 2004: 159-168
91		Ljupco Todorovski, Peter Ljubic, Saso Dzeroski: Inducing Polynomial Equations for Regression. ECML 2004: 441-452
90		Celine Vens, Anneleen Van Assche, Hendrik Blockeel, Saso Dzeroski: First Order Random Forests with Complex Aggregates. ILP 2004: 323-340
89		Nada Lavrac, Filip Zelezný, Saso Dzeroski: Local Patterns: Theory and Practice of Constraint-Based Relational Subgroup Discovery. Local Pattern Detection 2004: 71-88
88		Tomaz Erjavec, Saso Dzeroski: Machine Learning of Morphosyntactic Structure: Lemmatizing Unknown Slovene Words. Applied Artificial Intelligence 18(1): 17-41 (2004)
87		Hendrik Blockeel, Saso Dzeroski, Boris Kompare, Stefan Kramer, Bernhard Pfahringer, Wim Van Laer: Experiments In Predicting Biodegradability. Applied Artificial Intelligence 18(2): 157-181 (2004)
86		Saso Dzeroski, Bernard Zenko: Is Combining Classifiers with Stacking Better than Selecting the Best One? Machine Learning 54(3): 255-273 (2004)
85		Kurt Driessens, Saso Dzeroski: Integrating Guidance into Relational Reinforcement Learning. Machine Learning 57(3): 271-304 (2004)
84		Saso Dzeroski, Hendrik Blockeel: Multi-relational data mining 2004: workshop report. SIGKDD Explorations 6(2): 140-141 (2004)
83		Saso Dzeroski, Bernard Zenko, Marko Debeljak: A report on the fourth international workshop on environmental applications of machine learning (EAML 2004). SIGKDD Explorations 6(2): 155-156 (2004)
	2003
82		Jean-François Boulicaut, Saso Dzeroski: Proceedings of the Second International Workshop on Inductive Databases, 22 September, Cavtat-Dubrovnik, Croatia Rudjer Boskovic Institute, Zagreb, Croatia 2003
81		Saso Dzeroski, Ljupco Todorovski, Peter Ljubic: Using Constraints in Discovering Dynamics. Discovery Science 2003: 297-305
80		Saso Dzeroski, Ljupco Todorovski, Boris Zmazek, Janja Vaupotic, Ivan Kobal: Modelling Soil Radon Concentration for Earthquake Prediction. Discovery Science 2003: 87-99
79		Ljupco Todorovski, Saso Dzeroski: Using Domain Specific Knowledge for Automated Modeling. IDA 2003: 48-59
78		Saso Dzeroski, Ljupco Todorovski, Peter Ljubic: Inductive Databases of Polynomial Equations. KDID 2003: 28-43
77		Ljupco Todorovski, Saso Dzeroski: Combining Classifiers with Meta Decision Trees. Machine Learning 50(3): 223-249 (2003)
76		Saso Dzeroski: Multi-relational data mining: an introduction. SIGKDD Explorations 5(1): 1-16 (2003)
75		Saso Dzeroski, Luc De Raedt: Multi-relational data mining: the current frontiers. SIGKDD Explorations 5(1): 100-101 (2003)
74		Saso Dzeroski, Luc De Raedt, Stefan Wrobel: Multirelational data mining 2003: workshop report. SIGKDD Explorations 5(2): 200-202 (2003)
	2002
73		Saso Dzeroski: Relational Reinforcement Learning for Agents in Worlds with Objects. Adaptive Agents and Multi-Agents Systems 2002: 306-322
72		Ljupco Todorovski, Hendrik Blockeel, Saso Dzeroski: Ranking with Predictive Clustering Trees. ECML 2002: 444-455
71		Bernard Zenko, Saso Dzeroski: Stacking with an Extended Set of Meta-level Attributes and MLR. ECML 2002: 493-504
70		Kurt Driessens, Saso Dzeroski: Integrating Experimentation and Guidance in Relational Reinforcement Learning. ICML 2002: 115-122
69		Saso Dzeroski, Bernard Zenko: Is Combining Classifiers Better than Selecting the Best One. ICML 2002: 123-130
68		Pat Langley, Javier Nicolás Sánchez, Ljupco Todorovski, Saso Dzeroski: Inducing Process Models from Continuous Data. ICML 2002: 347-354
67		Saso Dzeroski: Learning in Rich Representations: Inductive Logic Programming and Computational Scientific Discovery. ILP 2002: 346-349
66		Saso Dzeroski, Bernard Zenko: Stacking with Multi-response Model Trees. Multiple Classifier Systems 2002: 201-211
65		Saso Dzeroski, Luc De Raedt: Multi-Relational Data Mining: a Workshop Report. SIGKDD Explorations 4(2): 122-124 (2002)
	2001
64		Ljupco Todorovski, Saso Dzeroski: Theory Revision in Equation Discovery. Discovery Science 2001: 389-400
63		Saso Dzeroski, Pat Langley: Computational Discovery of Communicable Knowledge: Symposium Report. Discovery Science 2001: 45-49
62		Ljupco Todorovski, Saso Dzeroski: Using Domain Knowledge on Population Dynamics Modeling for Equation Discovery. ECML 2001: 478-490
61		Bernard Zenko, Ljupco Todorovski, Saso Dzeroski: A Comparison of Stacking with Meta Decision Trees to Bagging, Boosting, and Stacking with other Methods. ICDM 2001: 669-670
60		Joaquim Comas, Saso Dzeroski, Karina Gibert, Ignasi R.-Roda, Miquel Sànchez-Marrè: Knowledge discovery by means of inductive methods in wastewater treatment plannt data. AI Commun. 14(1): 45-62 (2001)
59		Saso Dzeroski, Luc De Raedt, Kurt Driessens: Relational Reinforcement Learning. Machine Learning 43(1/2): 7-52 (2001)
58		Peter A. Flach, Saso Dzeroski: Editorial: Inductive Logic Programming is Coming of Age. Machine Learning 44(3): 207-209 (2001)
57		Saso Dzeroski, Zdenek Zabokrtský: A Machine Learning Approach to Automatic Functor Assignment in the Prague Dependency Treebank. Prague Bull. Math. Linguistics 76: 35-44 (2001)
	2000
56		James Cussens, Saso Dzeroski: Learning Language in Logic Springer 2000
55		Ljupco Todorovski, Saso Dzeroski, Ashwin Srinivasan, Jonathan Whiteley, David Gavaghan: Discovering the Structure of Partial Differential Equations from Example Behaviour. ICML 2000: 991-998
54		Dimitar Hristovski, Saso Dzeroski, Borut Peterlin, Anamarija Rozic-Hristovski: Supporting Discovery in Medicine by Association Rule Mining of Bibliographic Databases. PKDD 2000: 446-451
53		Ljupco Todorovski, Saso Dzeroski: Combining Multiple Models with Meta Decision Trees. PKDD 2000: 54-64
52		Saso Dzeroski, Damjan Demsar, Jasna Grbovic: Predicting Chemical Parameters of River Water Quality from Bioindicator Data. Appl. Intell. 13(1): 7-17 (2000)
51		Dragan Gamberger, Nada Lavrac, Saso Dzeroski: Noise Detection and Elimination in data Proprocessing: Experiments in Medical Domains. Applied Artificial Intelligence 14(2): 205-223 (2000)
	1999
50		Ivan Bratko, Saso Dzeroski: Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27 - 30, 1999 Morgan Kaufmann 1999
49		Saso Dzeroski, Peter A. Flach: Inductive Logic Programming, 9th International Workshop, ILP-99, Bled, Slovenia, June 24-27, 1999, Proceedings Springer 1999
48		James Cussens, Saso Dzeroski, Tomaz Erjavec: Morphosyntactic Tagging of Slovene Using Progol. ILP 1999: 68-79
47		Saso Dzeroski, Hendrik Blockeel, Boris Kompare, Stefan Kramer, Bernhard Pfahringer, Wim Van Laer: Experiments in Predicting Biodegradability. ILP 1999: 80-91
46		Saso Dzeroski, James Cussens, Suresh Manandhar: An Introduction to Inductive Logic Programming and Learning Language in Logic. Learning Language in Logic 1999: 3-35
45		Saso Dzeroski, Tomaz Erjavec: Learning to Lemmatise Slovene Words. Learning Language in Logic 1999: 69-88
44		Hendrik Blockeel, Saso Dzeroski, Jasna Grbovic: Simultaneous Prediction of Mulriple Chemical Parameters of River Water Quality with TILDE. PKDD 1999: 32-40
43		Ljupco Todorovski, Saso Dzeroski: Experiments in Meta-level Learning with ILP. PKDD 1999: 98-106
42		Saso Dzeroski, Nada Lavrac: Editorial. Data Min. Knowl. Discov. 3(1): 5-6 (1999)
41		Nada Lavrac, Saso Dzeroski, Masayuki Numao: Inductive Logic Programming for Relational Knowledge Discovery. New Generation Comput. 17(1): 3-23 (1999)
	1998
40		Saso Dzeroski, Nico Jacobs, Martín Molina, Carlos Moure: ILP Experiments in Detecting Traffic Problems. ECML 1998: 61-66
39		Saso Dzeroski, Luc De Raedt, Hendrik Blockeel: Relational Reinforcement Learning. ICML 1998: 136-143
38		Saso Dzeroski, Luc De Raedt, Hendrik Blockeel: Relational Reinforcement Learning. ILP 1998: 11-22
37		Suresh Manandhar, Saso Dzeroski, Tomaz Erjavec: Learning Multilingual Morphology with CLOG. ILP 1998: 135-144
36		Saso Dzeroski, Nico Jacobs, Martín Molina, Carlos Moure, Stephen Muggleton, Wim Van Laer: Detecting Traffic Problems with ILP. ILP 1998: 281-290
35		Saso Dzeroski, Steffen Schulze-Kremer, Karsten R. Heidtke, Karsten Siems, Dietrich Wettschereck, Hendrik Blockeel: Diterpene Structure Elucidation from 13CNMR Spectra with Inductive Logic Programming. Applied Artificial Intelligence 12(5): 363-383 (1998)
34		Blaz Zupan, Saso Dzeroski: Acquiring background knowledge for machine learning using function decomposition: a case study in rheumatology. Artificial Intelligence in Medicine 14(1-2): 101-117 (1998)
	1997
33		Nada Lavrac, Saso Dzeroski: Inductive Logic Programming, 7th International Workshop, ILP-97, Prague, Czech Republic, September 17-20, 1997, Proceedings Springer 1997
32		Blaz Zupan, Saso Dzeroski: Acquiring and Validating Background Knowledge for Machine Learning Using Function Decomposition. AIME 1997: 86-97
31		Saso Dzeroski, George Potamias, Vassilis Moustakis, Giorgos Charissis: Automated Revision of Expert Rules for Treating Acute Abdominal Pain in Children. AIME 1997: 98-109
30		Ljupco Todorovski, Saso Dzeroski: Declarative Bias in Equation Discovery. ICML 1997: 376-384
29		Yannis Dimopoulos, Saso Dzeroski, Antonis C. Kakas: Integrating Explanatory and Descriptive Learning in ILP. IJCAI (2) 1997: 900-907
28		Saso Dzeroski, Tomaz Erjavec: Induction of Slovene Nominal Paradigms. ILP 1997: 141-148
27		Wim Van Laer, Luc De Raedt, Saso Dzeroski: On Multi-class Problems and Discretization in Inductive Logic Programming. ISMIS 1997: 277-286
	1996
26		Dragan Gamberger, Nada Lavrac, Saso Dzeroski: Noise Elimination in Inductive Concept Learning: A Case Study in Medical Diagnosois. ALT 1996: 199-212
25		Saso Dzeroski, Steffen Schulze-Kremer, Karsten R. Heidtke, Karsten Siems, Dietrich Wettschereck: Applying ILP to Diterpene Structure Elucidation from 13C NMR Spectra. Inductive Logic Programming Workshop 1996: 41-54
24		Saso Dzeroski: Inductive Logic Programming and Knowledge Discovery in Databases. Advances in Knowledge Discovery and Data Mining 1996: 117-152
23		Nada Lavrac, Irene Weber, Darko Zupanic, Dimitar Kazakov, Olga Stepánková, Saso Dzeroski: ILPNET Repositories on WWW: Inductive Logic Programming Systems, Datasets and Bibliography. AI Commun. 9(4): 157-206 (1996)
22		Nada Lavrac, Saso Dzeroski: A Reply to Pazzani's Book Review of "Inductive Logic Programming: Techniques and Applications". Machine Learning 23(1): 109-111 (1996)
	1995
21		Saso Dzeroski, Ljupco Todorovski, Tanja Urbancic: Handling Real Numbers in ILP: A Step Towards Better Behavioural Clones (Extended Abstract). ECML 1995: 283-286
20		Saso Dzeroski: Knowledge Discovery in a Water Quality Database. KDD 1995: 81-86
19		Saso Dzeroski: Learning First-order Clausal Theories in the Presence of Noise. SCAI 1995: 51-60
18		Saso Dzeroski, Ljupco Todorovski: Discovering Dynamics: From Inductive Logic Programming to Machine Discovery. J. Intell. Inf. Syst. 4(1): 89-108 (1995)
17		Ivan Bratko, Saso Dzeroski: Engineering Applications of ILP. New Generation Comput. 13(3&4): 313-333 (1995)
	1994
16		Nada Lavrac, Saso Dzeroski: Inductive logic programming - techniques and applications. Ellis Horwood 1994: I-XIX, 1-293
15		Saso Dzeroski, Igor Petrovski: Discovering Dynamics with Genetic Programming. ECML 1994: 347-350
14		Luc De Raedt, Saso Dzeroski: First-Order jk-Clausal Theories are PAC-Learnable. Artif. Intell. 70(1-2): 375-392 (1994)
13		Nada Lavrac, Saso Dzeroski: Weakening the language bias in LINUS. J. Exp. Theor. Artif. Intell. 6(1): 95-119 (1994)
12		Jörg-Uwe Kietz, Saso Dzeroski: Inductive Logic Programming and Learnability. SIGART Bulletin 5(1): 22-32 (1994)
	1993
11		Saso Dzeroski, Stephen Muggleton, Stuart J. Russell: Learnability of Constrained Logic Programs. ECML 1993: 342-347
10		Saso Dzeroski, Ljupco Todorovski: Discovering Dynamics. ICML 1993: 97-103
9		Luc De Raedt, Nada Lavrac, Saso Dzeroski: Multiple Predicate Learning. IJCAI 1993: 1037-1043
8		Saso Dzeroski: Handling Imperfetc Data in Inductive Logic Programming. SCAI 1993: 111-125
7		Nada Lavrac, Saso Dzeroski, Vladimir Pirnat, Viljem Krizman: The utility of background knowledge in learning medical diagnostic rules. Applied Artificial Intelligence 7(3): 273-293 (1993)
6		Saso Dzeroski, Nada Lavrac: Inductive Learning in Deductive Databases. IEEE Trans. Knowl. Data Eng. 5(6): 939-949 (1993)
	1992
5		Nada Lavrac, Saso Dzeroski: Background Knowledge and Declarative Bias in Inductive Concept Learning. AII 1992: 51-71
4		Saso Dzeroski, Stephen Muggleton, Stuart J. Russell: PAC-Learnability of Determinate Logic Programs. COLT 1992: 128-135
	1991
3		Nada Lavrac, Saso Dzeroski, Marko Grobelnik: Learning Nonrecursive Definitions of Relations with LINUS. EWSL 1991: 265-281
2		Saso Dzeroski, Nada Lavrac: Learning Relations from Noisy Examples: An Empirical Comparison of LINUS and FOIL. ML 1991: 399-402
1		Nada Lavrac, Saso Dzeroski, Vladimir Pirnat, Viljem Krizman: Learning Rules for Early Diagnosis of Rheumatic Diseases. SCAI 1991: 138-149

Coauthor Index

1	Timo Aho	[127]
2	Annalisa Appice	[110] [113] [145] [146]
3	Anneleen Van Assche	[90] [101]
4	Natasa Atanasova	[126]
5	Hendrik Blockeel	[35] [38] [39] [44] [47] [72] [84] [87] [90] [94] [99] [101] [102] [120] [133]
6	Marko Bohanec	[109]
7	Jean-François Boulicaut	[82]
8	Ivan Bratko	[17] [50]
9	Will Bridewell	[121]
10	Michelangelo Ceci	[145] [146]
11	Giorgos Charissis	[31]
12	Amanda Clare	[99] [102]
13	Joaquim Comas	[60]
14	James Cussens	[46] [48] [56]
15	Marko Debeljak	[83]
16	Damjan Demsar	[52]
17	Ivica Dimitrovski	[129] [135] [136] [137] [149]
18	Yannis Dimopoulos	[29]
19	Kurt Driessens	[59] [70] [85] [98] [100] [143]
20	Tomaz Erjavec	[28] [37] [45] [48] [88]
21	Peter A. Flach	[49] [58]
22	João Gama (Joao Gama)	[138] [139] [141] [143]
23	Dragan Gamberger	[26] [51]
24	David Gavaghan	[55]
25	Pierre Geurts	[131]
26	Karina Gibert	[60]
27	Dejan Gjorgjevikj	[140] [148]
28	Valentin Gjorgjioski	[103] [132]
29	Jasna Grbovic	[44] [52]
30	Marko Grobelnik	[3]
31	Karsten R. Heidtke	[25] [35]
32	Dimitar Hristovski	[54] [116]
33	Elena Ikonomovska	[138] [139] [141] [143] [144]
34	Nico Jacobs	[36] [40]
35	Antonis C. Kakas	[29]
36	Dimitar Kazakov	[23]
37	Jörg-Uwe Kietz	[12]
38	Ivan Kobal	[80]
39	Andrej Kobler	[132] [150]
40	Dragi Kocev	[105] [112] [126] [129] [133] [135] [136] [137] [149]
41	Boris Kompare	[47] [87]
42	Stefan Kramer	[47] [87]
43	Viljem Krizman	[1] [7]
44	Svetislav Krstic	[126]
45	Wim Van Laer	[27] [36] [47] [87]
46	Pat Langley	[63] [68] [117] [121]
47	Nada Lavrac	[1] [2] [3] [5] [6] [7] [9] [13] [16] [22] [23] [26] [33] [41] [42] [51] [89]
48	Peter Ljubic	[78] [81] [91] [92] [93]
49	Suzana Loskovska	[129] [135] [136] [137] [149]
50	Gjorgji Madjarov	[140] [148]
51	Donato Malerba	[146]
52	Suresh Manandhar	[37] [46]
53	Taneli Mielikäinen	[107]
54	Kosta Mitreski	[126]
55	Martin Molina (Martín Molina)	[36] [40]
56	Carlos Moure	[36] [40]
57	Vassilis Moustakis	[31]
58	Stephen Muggleton	[4] [11] [36]
59	Andreja Naumoski	[126]
60	Masayuki Numao	[41]
61	Peter Ogrinc	[150]
62	Pance Panov	[107] [111] [124] [125] [128] [132]
63	Aleksandar Peckov	[123]
64	Borut Peterlin	[54] [116]
65	Igor Petrovski	[15]
66	Bernhard Pfahringer	[47] [87]
67	Vladimir Pirnat	[1] [7]
68	George Potamias	[31]
69	Mitja Pugelj	[147]
70	Luc De Raedt	[9] [14] [27] [38] [39] [59] [65] [74] [75]
71	Ignasi Rodríguez-Roda (Ignasi R.-Roda)	[60]
72	Juho Rousu	[131]
73	Anamarija Rozic-Hristovski	[54]
74	Stuart J. Russell	[4] [11]
75	Javier Nicolás Sánchez	[68]
76	Miquel Sànchez-Marrè	[60]
77	Leander Schietgat	[102] [120] [133]
78	Steffen Schulze-Kremer	[25] [35]
79	Karsten Siems	[25] [35]
80	Ivica Slavkov	[103] [130]
81	Larisa N. Soldatova	[124] [128]
82	Ashwin Srinivasan	[55]
83	Janez Stare	[116]
84	Olga Stepánková	[23]
85	Daniela Stojanova	[109] [132] [145] [146] [150]
86	Jan Struyf	[96] [97] [99] [102] [103] [105] [108] [112] [114] [118] [120] [133]
87	Katerina Taskova	[109]
88	Ljupco Todorovski	[10] [18] [21] [30] [43] [53] [55] [61] [62] [64] [68] [72] [77] [78] [79] [80] [81] [91] [92] [93] [115] [117] [119] [121] [123]
89	Tanja Urbancic	[21]
90	Janja Vaupotic	[80]
91	Celine Vens	[90] [101] [112] [120] [133]
92	Irene Weber	[23]
93	Dietrich Wettschereck	[25] [35]
94	Jonathan Whiteley (Jonathan Patrick Whiteley)	[55]
95	Stefan Wrobel	[74]
96	Zdenek Zabokrtský	[57]
97	Filip Zelezný	[89]
98	Bernard Zenko	[61] [66] [69] [71] [83] [86] [96] [122] [125] [127] [130] [141] [150]
99	Boris Zmazek	[80]
100	Blaz Zupan	[32] [34]
101	Darko Zupanic	[23]

Colors in the list of coauthors

Last update Tue May 29 20:41:18 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page