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Sarabjot S. Anand
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- affiliation: University of Warwick, Coventry, UK
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2020 – today
- 2020
- [j19]Sukhjit Singh Sehra
, Jaiteg Singh
, Hardeep Singh Rai, Sarabjot Singh Anand:
Extending Processing Toolbox for assessing the logical consistency of OpenStreetMap data. Trans. GIS 24(1): 44-71 (2020)
2010 – 2019
- 2016
- [j18]Phillip Taylor, Nathan Griffiths, Abhir Bhalerao, Sarabjot S. Anand, Thomas Popham, Xu Zhou, Adam Gelencser:
Data Mining for Vehicle Telemetry. Appl. Artif. Intell. 30(3): 233-256 (2016) - 2014
- [j17]Henry Franks, Nathan Griffiths, Sarabjot Singh Anand:
Learning agent influence in MAS with complex social networks. Auton. Agents Multi Agent Syst. 28(5): 836-866 (2014) - [c40]Alípio Mário Jorge
, José Paulo Leal
, Sarabjot S. Anand, Hugo Dias:
A study of machine learning methods for detecting user interest during web sessions. IDEAS 2014: 149-157 - 2013
- [j16]Matthew Leeke, Arshad Jhumka, Sarabjot Singh Anand:
Towards the Design of Efficient Error Detection Mechanisms for Transient Data Errors. Comput. J. 56(6): 674-692 (2013) - [c39]Henry Franks, Nathan Griffiths, Sarabjot Singh Anand:
Learning influence in complex social networks. AAMAS 2013: 447-454 - [c38]Bamshad Mobasher, Dietmar Jannach, Werner Geyer, Jill Freyne, Andreas Hotho, Sarabjot Singh Anand, Ido Guy:
The fifth ACM RecSys workshop on recommender systems and the social web. RecSys 2013: 477-478 - [e6]Bamshad Mobasher, Dietmar Jannach, Werner Geyer, Jill Freyne, Andreas Hotho, Sarabjot Singh Anand, Ido Guy:
Proceedings of the Fifth ACM RecSys Workshop on Recommender Systems and the Social Web co-located with the 7th ACM Conference on Recommender Systems (RecSys 2013), Hong Kong, China, October 13, 2013. CEUR Workshop Proceedings 1066, CEUR-WS.org 2013 [contents] - [i1]Nikolas Landia, Stephan Doerfel, Robert Jäschke, Sarabjot Singh Anand, Andreas Hotho, Nathan Griffiths:
Deeper Into the Folksonomy Graph: FolkRank Adaptations and Extensions for Improved Tag Recommendations. CoRR abs/1310.1498 (2013) - 2012
- [c37]Nathan Griffiths, Sarabjot Singh Anand:
The impact of social placement of non-learning agents on convention emergence. AAMAS 2012: 1367-1368 - [c36]Phillip Taylor, Fatimah Adamu-Fika, Sarabjot Singh Anand, Alain Dunoyer, Nathan Griffiths, Thomas Popham:
Road type classification through data mining. AutomotiveUI 2012: 233-240 - [c35]Nikolas Landia, Sarabjot Singh Anand, Andreas Hotho, Robert Jäschke
, Stephan Doerfel, Folke Mitzlaff:
Extending FolkRank with content data. RSWeb@RecSys 2012: 1-8 - [e5]Padraig Cunningham, Neil J. Hurley, Ido Guy, Sarabjot Singh Anand:
Sixth ACM Conference on Recommender Systems, RecSys '12, Dublin, Ireland, September 9-13, 2012. ACM 2012, ISBN 978-1-4503-1270-7 [contents] - 2011
- [j15]Sarabjot Singh Anand, Arshad Jhumka, Kimberley Wade:
Towards the Ordering of Events from Multiple Textual Evidence Sources. Int. J. Digit. Crime Forensics 3(2): 16-34 (2011) - [c34]Matthew Leeke, Saima Arif, Arshad Jhumka, Sarabjot Singh Anand:
A methodology for the generation of efficient error detection mechanisms. DSN 2011: 25-36 - [c33]Sarabjot Singh Anand, Nathan Griffiths:
A market-based approach to address the new item problem. RecSys 2011: 205-212 - [c32]Jill Freyne, Sarabjot Singh Anand, Ido Guy, Andreas Hotho:
3rd workshop on recommender systems and the social web. RecSys 2011: 383-384 - [e4]Sarabjot Singh Anand, Dietmar Jannach:
Proceedings of the 9th Workshop on Intelligent Techniques for Web Personalization & Recommender Systems, ITWP@IJCAI 2011, Barcelona, Spain, July 16, 2011. CEUR Workshop Proceedings 756, CEUR-WS.org 2011 [contents] - 2010
- [c31]Chris P. Levett, Arshad Jhumka, Sarabjot Singh Anand:
Towards event ordering in digital forensics. MM&Sec 2010: 35-42 - [c30]Werner Geyer, Jill Freyne, Bamshad Mobasher, Sarabjot S. Anand, Casey Dugan:
2nd workshop on recommender systems and the social web. RecSys 2010: 379-380 - [e3]Bamshad Mobasher, Dietmar Jannach, Sarabjot Singh Anand:
Proceedings of the 8th Workshop on Intelligent Techniques for Web Personalization & Recommender Systems, ITWP@UMAP 2010, Big Island, HI, USA, June 20, 2010. CEUR Workshop Proceedings 606, CEUR-WS.org 2010 [contents]
2000 – 2009
- 2009
- [j14]Razvan C. Bunescu, Vitor R. Carvalho, Jan Chomicki, Vincent Conitzer, Michael T. Cox, Virginia Dignum, Zachary Dodds, Mark Dredze
, David Furcy, Evgeniy Gabrilovich
, Mehmet H. Göker, Hans W. Guesgen
, Haym Hirsh, Dietmar Jannach, Ulrich Junker, Wolfgang Ketter
, Alfred Kobsa, Sven Koenig, Tessa A. Lau, Lundy Lewis, Eric T. Matson, Ted Metzler, Rada Mihalcea, Bamshad Mobasher
, Joelle Pineau, Pascal Poupart, Anita Raja, Wheeler Ruml
, Norman M. Sadeh, Guy Shani, Daniel G. Shapiro, Sarabjot Singh Anand, Matthew E. Taylor, Kiri Wagstaff, Trey Smith, William E. Walsh, Rong Zhou:
AAAI 2008 Workshop Reports. AI Mag. 30(1): 108-118 (2009) - [c29]Tao Li, Sarabjot S. Anand:
Exploiting Domain Knowledge by Automated Taxonomy Generation in Recommender Systems. EC-Web 2009: 120-131 - [c28]Gbolahan K. Williams, Sarabjot Singh Anand:
Predicting the Polarity Strength of Adjectives Using WordNet. ICWSM 2009 - [c27]Dietmar Jannach, Werner Geyer, Casey Dugan, Jill Freyne, Sarabjot S. Anand, Bamshad Mobasher
, Alfred Kobsa
:
Workshop on recommender systems and the social web. RecSys 2009: 421-422 - [e2]Sarabjot S. Anand, Bamshad Mobasher, Alfred Kobsa, Dietmar Jannach:
Proceedings of the 7th Workshop on Intelligent Techniques for Web Personalization & Recommender Systems (ITWP'09), Pasadena, California, USA, July 11-17, 2009 in conjunction with the 21st International Joint Conference on Artificial Intelligence - IJCAI 2009. CEUR Workshop Proceedings 528, CEUR-WS.org 2009 [contents] - 2008
- [c26]Abhir Bhalerao, Sarabjot S. Anand, Pounnusamy Saravanan:
Retinal fundus image constrast normalization using mixture of Gaussians. ACSCC 2008: 647-650 - [c25]Tao Li, Sarabjot S. Anand:
Labeling Nodes of Automatically Generated Taxonomy for Multi-type Relational Datasets. DaWaK 2008: 317-326 - [c24]Tao Li, Sarabjot S. Anand:
Automated Taxonomy Generation for Summarizing Multi-Type Relational Datasets. DMIN 2008: 571-577 - [c23]Tao Li, Sarabjot S. Anand:
HIREL: An Incremental Clustering Algorithm for Relational Datasets. ICDM 2008: 887-892 - [c22]Abhir Bhalerao, Amiya Patanaik, Sarabjot S. Anand, Pounnusamy Saravanan
:
Robust Detection of Microaneurysms for Sight Threatening Retinopathy Screening. ICVGIP 2008: 520-527 - 2007
- [j13]Sarabjot Singh Anand, Daniel Bahls, Catherina Burghart, Mark H. Burstein, Huajun Chen, John Collins, Thomas G. Dietterich, Jon Doyle, Chris Drummond, William Elazmeh, Christopher W. Geib, Judy Goldsmith, Hans W. Guesgen, Jim Hendler, Dietmar Jannach, Nathalie Japkowicz, Ulrich Junker, Gal A. Kaminka, Alfred Kobsa, Jérôme Lang, David B. Leake, Lundy Lewis, Gerard Ligozat, Sofus A. Macskassy, Drew V. McDermott, Ted Metzler, Bamshad Mobasher, Ullas Nambiar, Zaiqing Nie, Klas Orsvärn, Barry O'Sullivan, David V. Pynadath, Jochen Renz, Rita V. Rodríguez, Thomas Roth-Berghofer, Stefan Schulz, Rudi Studer, Yimin Wang, Michael P. Wellman:
AAAI-07 Workshop Reports. AI Mag. 28(4): 119-128 (2007) - [j12]Sarabjot S. Anand, Marko Grobelnik, Frank Herrmann, Mark F. Hornick, Christoph Lingenfelder, Niall Rooney, Dietrich Wettschereck:
Knowledge discovery standards. Artif. Intell. Rev. 27(1): 21-56 (2007) - [j11]Sarabjot S. Anand, Bamshad Mobasher
:
Introduction to intelligent techniques for Web personalization. ACM Trans. Internet Techn. 7(4): 18 (2007) - [j10]Sarabjot S. Anand, Patricia M. Kearney
, Mary Shapcott:
Generating semantically enriched user profiles for Web personalization. ACM Trans. Internet Techn. 7(4): 22 (2007) - [c21]Tao Li, Sarabjot S. Anand:
Diva: a variance-based clustering approach for multi-type relational data. CIKM 2007: 147-156 - 2006
- [j9]Wolfgang Achtner, Esma Aïmeur, Sarabjot Singh Anand, Douglas E. Appelt, Naveen Ashish, Tiffany Barnes, Joseph E. Beck, M. Bernardine Dias, Prashant Doshi, Chris Drummond, William Elazmeh, Ariel Felner, Dayne Freitag, Hector Geffner, Christopher W. Geib, Richard Goodwin, Robert C. Holte, Frank Hutter, Fair Isaac, Nathalie Japkowicz, Gal A. Kaminka, Sven Koenig, Michail G. Lagoudakis, David B. Leake, Lundy Lewis, Hugo Liu, Ted Metzler, Rada Mihalcea, Bamshad Mobasher, Pascal Poupart, David V. Pynadath, Thomas Roth-Berghofer, Wheeler Ruml, Stefan Schulz, Sven Schwarz, Stephanie Seneff, Amit P. Sheth, Ron Sun, Michael Thielscher, Afzal Upal, Jason D. Williams, Steve J. Young, Dmitry Zelenko:
Reports on the Twenty-First National Conference on Artificial Intelligence (AAAI-06) Workshop Program. AI Mag. 27(4): 92-102 (2006) - [c20]Sarabjot S. Anand, Bamshad Mobasher
:
Contextual Recommendation. WebMine 2006: 142-160 - 2005
- [j8]Ion Muslea, Virginia Dignum, Daniel D. Corkill, Catholijn M. Jonker, Frank Dignum, Silvia Coradeschi, Alessandro Saffiotti, Dan Fu, Jeff Orkin, William Cheetham, Kai Goebel, Piero P. Bonissone, Leen-Kiat Soh, Randolph M. Jones, Robert E. Wray III, Matthias Scheutz, Daniela Pucci de Farias, Shie Mannor, Georgios Theocharous, Doina Precup, Bamshad Mobasher, Sarabjot S. Anand, Bettina Berendt, Andreas Hotho, Hans W. Guesgen, Michael T. Rosenstein, Mohammad Ghavamzadeh:
The Workshop Program at the Nineteenth National Conference on Artificial Intelligence. AI Mag. 26(1): 103-108 (2005) - [e1]Bamshad Mobasher
, Sarabjot S. Anand:
Intelligent Techniques for Web Personalization, IJCAI 2003 Workshop, ITWP 2003, Acapulco, Mexico, August 11, 2003, Revised Selected Papers. Lecture Notes in Computer Science 3169, Springer 2005, ISBN 3-540-29846-0 [contents] - 2004
- [c19]Niall Rooney, David W. Patterson, Sarab S. Anand, Alexey Tsymbal:
Random Subspacing for Regression Ensembles. FLAIRS 2004: 532-537 - [c18]Niall Rooney, David W. Patterson, Sarab S. Anand, Alexey Tsymbal:
Dynamic Integration of Regression Models. Multiple Classifier Systems 2004: 164-173 - 2003
- [c17]Sarabjot S. Anand, Maurice D. Mulvenna
, Karine Chevalier:
On the Deployment of Web Usage Mining. EWMF 2003: 23-42 - [c16]Sarabjot S. Anand, Bamshad Mobasher:
Intelligent Techniques for Web Personalization. ITWP 2003: 1-36 - [c15]Magdalini Eirinaki
, Joannis Vlachakis, Sarabjot S. Anand:
IKUM: An Integrated Web Personalization Platform Based on Content Structures and User Behavior. ITWP 2003: 272-288 - 2002
- [c14]David W. Patterson, Niall Rooney, Mykola Galushka, Sarab S. Anand:
Towards Dynamic Maintenance of Retrieval Knowledge in CBR. FLAIRS 2002: 126-131 - 2001
- [c13]David W. Patterson, Sarabjot S. Anand, John G. Hughes:
Skill Refinement through Competence Feedback. FLAIRS 2001: 394-401 - 2000
- [b1]Sarabjot Singh Anand:
Value-adding intelligence in clinical prognostic systems. Ulster University, UK, 2000 - [j7]Sarabjot S. Anand:
Intelligent Data Analysis in Medicine and Pharmacology, Edited by Nada Lavrac, Elpida Keravnou and Blaz Zupan, Kluwer, 1997. Artif. Intell. Medicine 18(1): 105-108 (2000) - [j6]Maurice D. Mulvenna
, Sarabjot S. Anand, Alex G. Büchner:
Personalization on the Net using Web mining: introduction. Commun. ACM 43(8): 122-125 (2000) - [c12]Sarabjot S. Anand, Matthias Baumgarten, Alex G. Büchner, Maurice D. Mulvenna:
Gaining Insights into Web Customers using Web Intelligence. ECAI 2000: 681-685 - [c11]Alex G. Büchner, Matthias Baumgarten, Maurice D. Mulvenna
, Rüdiger Böhm, Sarabjot S. Anand:
Data Mining and XML: Current and Future Issues. WISE (2) 2000: 131-135
1990 – 1999
- 1999
- [j5]Sarabjot S. Anand, Ann E. Smith, P. W. Hamilton, J. S. Anand, John G. Hughes, Peter H. Bartels:
An evaluation of intelligent prognostic systems for colorectal cancer. Artif. Intell. Medicine 15(2): 193-214 (1999) - [j4]David W. Patterson, Sarabjot S. Anand, Werner Dubitzky, John G. Hughes:
Towards Automated Case Knowledge Discovery in the M2 Case-Based Reasoning System. Knowl. Inf. Syst. 1(1): 61-82 (1999) - [c10]Matthias Baumgarten, Alex G. Büchner, Sarabjot S. Anand, Maurice D. Mulvenna
, John G. Hughes:
User-Driven Navigation Pattern Discovery from Internet Data. WEBKDD 1999: 74-91 - 1998
- [j3]Sarabjot S. Anand, A. R. Patrick, John G. Hughes, David A. Bell:
A Data Mining methodology for cross-sales. Knowl. Based Syst. 10(7): 449-461 (1998) - [c9]Sarabjot S. Anand, David W. Patterson, John G. Hughes:
Knowledge Intensive Exception Spaces. AAAI/IAAI 1998: 574-579 - [c8]Sarabjot S. Anand, John G. Hughes:
Hybrid Data Mining Systems: The Next Generation. PAKDD 1998: 13-24 - [c7]Sarabjot S. Anand, David W. Patterson, John G. Hughes, David A. Bell:
Discovering Case Knowledge Using Data Mining. PAKDD 1998: 25-35 - 1997
- [j2]Sarabjot S. Anand, Bryan W. Scotney, Mee G. Tan, Sally I. McClean
, David A. Bell, John G. Hughes, Ian C. Magill:
Designing a Kernel for Data Mining. IEEE Expert 12(2): 65-74 (1997) - 1996
- [j1]Sarabjot S. Anand, David A. Bell, John G. Hughes:
EDM: A General Framework for Data Mining Based on Evidence Theory. Data Knowl. Eng. 18(3): 189-223 (1996) - [c6]Sarabjot S. Anand, David A. Bell, John G. Hughes, Mary Shapcott:
A High-Performance Data Mining Server. HPCN Europe 1996: 907-908 - [c5]Sarabjot S. Anand, Alex G. Büchner, David A. Bell, John G. Hughes:
Towards real-world data mining. PAKM 1996: 26:1-26:15 - 1995
- [c4]Sarabjot S. Anand, David A. Bell, John G. Hughes:
The Role of Domain Knowledge in Data Mining. CIKM 1995: 37-43 - [c3]Sarabjot S. Anand, David A. Bell, John G. Hughes, Mary Shapcott:
Evidential techniques in parallel database mining. HPCN Europe 1995: 190-195 - 1994
- [c2]Sarabjot S. Anand, David A. Bell, John G. Hughes:
Database Mining in the Architecture of a Semantic Preprocessor for State Aware Query Optimization. KDD Workshop 1994: 287-298 - [c1]Sarabjot S. Anand, David A. Bell, John G. Hughes:
An Empirical Performance Study of the Ingres Search Accelerator for a Large Property Management Database System. VLDB 1994: 676-685
Coauthor Index
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