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Publications by Content

The publications below are grouped by similar domain. The groups may overlap.

Data Mining
  1. Gabriella Mosquera and Vlado Keselj. Identifying Behavioral Characteristics in EGM Gambling Data Using Session Clustering. In Proceedings of BEAMS 15, Workshop at the IEEE International Conference on Data Mining (ICDM 2015). Atlantic City, NS, USA, November 2015.
    [ id: beams15 | BibTeX | bibitem ]

  2. Matthew Butler and Vlado Keselj. Data Mining Techniques for Proactive Fault Diagnostics of Electronic Gaming Machines. In Proceedings of Canadian AI'2010, vol. LNAI 6085 of Lecture Notes in Computer Science, Springer, pages 366--369. Ottawa, ON, Canada, May 2010.
    [ id: ai10m | BibTeX | bibitem ]

  3. Matthew Butler and Vlado Keselj. Financial Forecasting using Character N-Gram Analysis and Readability Scores of Annual Reports. In Proceedings of Canadian AI'2009. Kelowna, BC, Canada, May 2009.
    [ id: ai09a | PDF | BibTeX | bibitem ]

  4. Matthew Butler and Vlado Keselj. Optimizing a Pseudo Financial Factor Model with Support Vector Machine and Genetic Programming. In Proceedings of Canadian AI'2009. Kelowna, BC, Canada, May 2009.
    [ id: ai09b | PDF | BibTeX | bibitem ]

  5. Jiayun Guo, Vlado Keselj, and Qigang Gao. Integrating Web Content Clustering into Web Log Association Rule Mining. In Proceedings of Canadian AI'2005, vol. LNAI 3501 of Lecture Notes in Computer Science, Springer, pages 182--193. Victoria, BC, Canada, May 2005.
    [ id: ai05 | PDF | BibTeX | bibitem ]

Grammars and Parsing
  1. Lalita Narupiyakul, Vlado Keselj, Nick Cercone, and Booncharoen Sirinaovakul. Focus to Emphasize Tone Analysis for Prosodic Generation. Computers and Mathematics with Applications, vol. 55, no. 8, pages 1735--1753, Elsevier, 2008.
    [ id: FET | BibTeX | bibitem ]

  2. Vlado Keselj and Nick Cercone. A Formal Approach to Subgrammar Extraction for NLP. Mathematical and Computer Modelling, vol. 45, pages 394--403, Elsevier, February 2007.
    [ id: subg | BibTeX | bibitem ]

  3. Tony Abou-Assaleh, Vlado Keselj, and Nick Cercone. Probabilistic Inference in First-Order Logic Using Relaxed Unification. CAIMS-MITACS 2006 Joint Annual Conference. York University, Toronto, ON Poster presentation; Tony awarded 3rd prize.
    [ id: mitacs06 | BibTeX | bibitem ]

  4. Lalita Narupiyakul, Nick Cercone, Vlado Keselj, and Booncharoen Sirinaovakul. Focus and Speech Act in Prosodic Analysis for Spoken Language Generation. In The 6th Symposium on Natural Language Processing, SNLP'2005. Chiang Rai, Thailand, December 2005.
    [ id: SNLP05L | BibTeX | bibitem ]

  5. Tony Abou-Assaleh, Nick Cercone, and Vlado Keselj. Question-Answering with Relaxed Unification. In Proceedings of the Conference Pacific Association for Computational Linguistics, PACLING'05. Meisei University, Hino Campus, Hino-shi, Tokyo, 191-8506 Japan, August 2005.
    [ id: pacling05b | BibTeX | bibitem ]

  6. Tony Abou-Assaleh, Nick Cercone, and Vlado Keselj. A Probabilistic Evaluation Function for Relaxed Unification. In The 29th Annual International Computer Software and Applications Conference (IEEE COMPSAC~2005). Edinburgh, Scotland, July 2005.
    [ id: compsac05 | BibTeX | bibitem ]

  7. Tony Abou-Assaleh, Nick Cercone, Vlado Keselj. Applying HPSG with Relaxed Unification to Question Answering. The Annual Dalhousie Computer Science In-House Conference (DCSI 2004), 2004. Poster, extended abstract.

  8. Nick Cercone, Lijun Hou, Vlado Keselj, Aijun An, and Kanlaya Naruedomkul. From Computational to Web Intelligence. In Computing and Information Sciences: Recent Trends, pages 163--178, Narosa Publishing House. New Delhi, 2003.
    [ id: c03 | BibTeX | bibitem ]

  9. Keselj, Vlado and Cercone, Nick. A Graph Unification Machine for NL Parsing. Computers and Mathematics with Applications, vol. 46, pages 393--419, 2003.
    [ id: UM | BibTeX | bibitem ]

  10. Abou-Assaleh, Tony, Cercone, Nick, and Keselj, Vlado. An Overview of the Theory of Relaxed Unification. In Proceedings of the International Conference on Advances in the Internet, Processing, Systems, Interdisciplinary Research, IPSI-2003. Sveti Stefan, Serbia and Montenegro, October 5--11, 2003.
    [ id: TAA03b | BibTeX | bibitem ]

  11. Abou-Assaleh, Tony, Cercone, Nick, and Keselj, Vlado. Towards the Theory of Relaxed Unification. In Proceedings of the 14th International Symposium on Methodologies for Intelligent Systems, ISMIS 2003, vol. LNAI 2871 of Lecture Notes in Computer Science, Springer. Maebashi City, Japan, October 28--31, 2003.
    [ id: ismis03 | BibTeX | bibitem ]

  12. Abou-Assaleh, Tony, Cercone, Nick, and Keselj, Vlado. Expressing Probabilistic Context-Free Grammars in the Relaxed Unification Formalism. In Proceedings of the Conference Pacific Association for Computational Linguistics, PACLING'03, pages 29--36. Dalhousie University, Halifax, Nova Scotia, Canada, August 2003.
    [ id: TAA03a | BibTeX | bibitem ]

  13. Nick Cercone, Lijun Hou, Vlado Keselj, Aijun An, Kanlaya Naruedomkul, and Xiaohua Hu. From Computational Intelligence to Web Intelligence. IEEE Computer, vol. 35, no. 11, pages 72--76, November 2002.
    [ id: Cercone02 | BibTeX | bibitem ]

  14. Keselj, Vlado. Modular HPSG. In Proceedings of the 2001 IEEE Systems, Man, and Cybernetics Conference . Tucson, Arizona, USA, October 2001.
    [ id: Keselj2001d | PDF | PostScript | BibTeX | bibitem ]

  15. Keselj, Vlado and Cercone, Nick. Just-in-time subgrammar extraction for HPSG. In Proceedings of the Conference Pacific Association for Computational Linguistics, PACLING'01. Kitakyushu, Japan, September 2001.
    [ id: Keselj2001c | PostScript | BibTeX | bibitem ]

  16. Keselj, Vlado. Question Answering using Unification-based Grammar. In Advances in Artificial Intelligence, AI 2001, vol. LNAI 2056 of Lecture Notes in Computer Science, Springer, pages 297--306. Ottawa, Canada, June 2001.
    [ id: Keselj2001 | PostScript | BibTeX | bibitem ]

  17. Keselj, Vlado. An HPSG formalism for Implementing a Java parser. In The Fourth Symposium on Natural Language Processing, SNLP'2000. Chiang Mai, Thailand, May 2000.
    [ id: Keselj:2000 | PostScript | BibTeX | bibitem ]

  18. Keselj, Vlado. Java parser for HPSGs: Why and How. In Proceedings of the Conference Pacific Association for Computational Linguistics, PACLING'99, pages 288--294. Waterloo, Ontario, Canada, August 1999.
    [ id: Keselj:1999 | PostScript | BibTeX | bibitem ]

  19. Keselj, Vlado. Grammar Model and Grammar Induction in the System NL PAGE. In Grammatical Inference, 4th International Colloquium (ICGI-98), vol. 1433 of Lecture Notes in Computer Science, pages 57--66, Springer. Ames, Iowa, USA, 1998.
    [ id: Keselj:1998:GMG | PostScript | BibTeX | bibitem ]

  20. Keselj, Vlado and Cercone, Nick. A Graph Unification Machine for NL Parsing. Technical Report CS-2002-01, Department of Computer Science, University of Waterloo. Waterloo, Ontario, Canada, January 2002.
    [ id: Keselj2002a | PostScript | BibTeX | bibitem ]

  21. Keselj, Vlado. Just-in-time subgrammar extraction for HPSG. Technical Report CS-2001-08, Department of Computer Science, University of Waterloo. Waterloo, Ontario, Canada, March 2001.
    [ id: Keselj2001b | PostScript | BibTeX | bibitem ]

  22. Keselj, Vlado. Modular HPSG. Technical Report CS-2001-05, Department of Computer Science, University of Waterloo. Waterloo, Ontario, Canada, February 2001.
    [ id: Keselj2001a | PostScript | BibTeX | bibitem ]

  23. Keselj, Vlado. Stefy: Java Parser for HPSGs, Version 0.1. Technical Report CS-99-26, Department of Computer Science, University of Waterloo. Waterloo, Ontario, Canada, 2000.
    [ id: Keselj:1999a | BibTeX | bibitem ]

  24. Keselj, Vlado. Modular Stochastic HPSGs for Question Answering. School of Computer Science, University of Waterloo, no. CS-2002-28. Waterloo, Ontario, Canada, June 2002.
    [ id: Keselj2002b | PostScript | BibTeX | bibitem ]

CNG - Character-level N-Grams for Text and Data Mining
  1. Dijana Kosmajac, Vlado Keselj. Language Distance using Common N-grams Approach. In Proceedings of 19th International Symposium INFOTEH-JAHORINA 2020., IEEE Digital Library. Jahorina, Bosnia and Herzegovina, March 2020.
    [ id: infoteh2020 | BibTeX | bibitem ]

  2. Magdalena Jankowska, Evangelos Milios, and Vlado Keselj. Author Verification using Common N-gram Profiles of Text Documents. In Proceedings of COLING 2014, 2014.
    [ id: coling2014 | BibTeX | bibitem ]

  3. Calvin Thomas, Vlado Keselj, Nick Cercone, Kenneth Rockwood, and Elissa Asp. Detecting and Rating Dementia of Alzheimer Type through Lexical Analysis of Spontaneous Speech. In Computational Approaches to Assistive Technologies for People with Disabilities, pages 154--171, IOS Press, Inc. Fairfax, VA, USA, 2013.
    [ id: c13t | BibTeX | bibitem ]

  4. Jane E. Mason, Michael Shepherd, Jack Duffy, and Vlado Keselj. Classifying Web Pages by Genre: Dealing with Unbalanced Distributions, Multiple Labels, and Noise. In Proceedings of WEBIST 2011, 7th International Conference on Web Information Systems and Technologies. Noordwijkerhout, The Netherlands, May 2011.
    [ id: webist2011 | BibTeX | bibitem ]

  5. Jane E. Mason, Michael Shepherd, Jack Duffy, Vlado Keselj, Carolyn Watters. An n-gram Based Approach to Multi-labeled Web Page Genre Classification. In Proceedings of 43rd Hawaii International Conference on System Sciences. Hawaii, January 2010.
    [ id: hicss2010 | BibTeX | bibitem ]

  6. Jacek Wolkowicz, Stephen Brooks, Vlado Keselj. MidiVis: Visualizing Music Pieces Structure via Similarity Matrices. In Proceedings of ICMC2009, The 2009 International Computer Music Conference. Montreal, Quebec, Canada, August 2009.
    [ id: icmc09 | BibTeX | bibitem ]

  7. Matthew Butler and Vlado Keselj. Financial Forecasting using Character N-Gram Analysis and Readability Scores of Annual Reports. In Proceedings of Canadian AI'2009. Kelowna, BC, Canada, May 2009.
    [ id: ai09a | PDF | BibTeX | bibitem ]

  8. Jacek Wolkowicz, Malcolm Heywood, Vlado Keselj. Evolving Indirectly Represented Melodies with Corpus-based Fitness Evaluation. In 7th European Workshop on Evolutionary and Biologically Inspired Music, Sound, Art and Design (EvoMUSART'2009). Tubingen, Germany, April 2009.
    [ id: evostar2009 | BibTeX | bibitem ]

  9. Jacek Wolkowicz, Zbigniew Kulka, and Vlado Keselj. n-Gram Based Approach to Composer Recognition. Archives of Acoustics, vol. 33, no. 1, pages 43--55, 2008.
    [ id: jacek08 | BibTeX | bibitem ]

  10. Chris Jordan, Jane E. Tougas, John Healy, Vlado Keselj, and Carolyn Watters. Swordfish2: Using Kernel Density Estimation to Smooth Ngram Models for Morphological Analysis. Journal of Interesting Negative Results in Natural Language Processing and Machine Learning, vol. 1, pages 1--18, 2008.
    [ id: swf | BibTeX | bibitem ]

  11. Vlado Keselj and Danko Sipka. A Suffix Subsumption-based Approach to Building Stemmers and Lemmatizers for Highly Inflectional Languages with Sparse Resources. INFOTHECA, Journal of Informatics and Librarianship, vol. IX, no. 1--2, pages 23a--33a, 21--31, May 2008.
    [ id: stemmer08 | BibTeX | bibitem ]

  12. Haibin Liu and Vlado Keselj. Combined Mining of Web Server Logs and Web Contents for Classifying User Navigation Patterns and Predicting Users' Future Requests. Data & Knowledge Engineering, vol. 61, no. 2, pages 304--330, Elsevier Science Publishers, May 2007. (Published on-line in 2006).
    [ id: hl05 | BibTeX | bibitem ]

  13. Chris Jordan, John Healy, and Vlado Keselj. Swordfish: An Unsupervised Ngram Based Approach to Morphological Analysis. In SIGIR '06: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 657--658, ACM Press. Seattle, Washington, USA, August 2006.
    [ id: sigir06 | BibTeX | bibitem ]

  14. Jonathan Doyle and Vlado Keselj. Automatic Categorization of Author Gender via N-Gram Analysis. In The 6th Symposium on Natural Language Processing, SNLP'2005. Chiang Rai, Thailand, December 2005.
    [ id: SNLP05J | PDF | BibTeX | bibitem ]

  15. Vlado Keselj, Evangelos Milios, Andrew Tuttle, Singer Wang, and Roger Zhang. DalTREC 2005 Spam Track: Spam Filtering using N-gram-based Techniques. In The Fourtheenth Text REtrieval Conference (TREC 2005) Proceedings. Gaithersburg, Maryland, USA, November 2005.
    [ id: DalTREC05spam | PDF | PostScript | BibTeX | bibitem ]

  16. Haibin Liu and Vlado Keselj. Combined Mining of Web Server Logs and Web Contents. The Annual Dalhousie Computer Science In-House Conference (DCSI 2005), 2005. Extended abstract.

  17. Yingbo Miao, Vlado Keselj, and Evangelos Milios. Document Clustering using Character N-grams: A Comparative Evaluation with Term-based and Word-based Clustering. In Proceedings of ACM Fourteenth Conference on Information and Knowledge Management (CIKM 2005). Bremen, Germany, November 2005.
    [ id: cikm05 | BibTeX | bibitem ]

  18. Calvin Thomas, Vlado Keselj, Nick Cercone, Kenneth Rockwood, and Elissa Asp. Automatic Detection and Rating of Dementia of Alzheimer Type through Lexical Analysis of Spontaneous Speech. In Proceedings of IEEE ICMA 2005. Niagara Falls, Ontario, Canada, July 2005.
    [ id: icma05 | PDF | BibTeX | bibitem ]

  19. Sittichai Jiampojamarn, Nick Cercone, and Vlado Keselj. Biological Named Entity Recognition using N-grams and Classification Methods. In Proceedings of the Conference Pacific Association for Computational Linguistics, PACLING'05. Meisei University, Hino Campus, Hino-shi, Tokyo, 191-8506 Japan, August 2005.
    [ id: pacling05a | PDF | BibTeX | bibitem ]

  20. Andrija Tomovic, Predrag Janicic, and Vlado Keselj. n-gram-based Classification and Unsupervised Hierarchical Clustering of Genome Sequences. Computer Methods and Programs in Biomedicine, vol. 81, pages 137--153, February 2006.
    [ id: gen05 | PDF | BibTeX | bibitem ]

  21. Jiayun Guo, Vlado Keselj, and Qigang Gao. Integrating Web Content Clustering into Web Log Association Rule Mining. In Proceedings of Canadian AI'2005, vol. LNAI 3501 of Lecture Notes in Computer Science, Springer, pages 182--193. Victoria, BC, Canada, May 2005.
    [ id: ai05 | PDF | BibTeX | bibitem ]

  22. Yingbo Miao, Vlado Keselj, and Evangelos Milios. Document Clustering using Character N-grams: A Comparative Evaluation with Term-based and Word-based Clustering. Technical Report CS-2005-23, Faculty of Computer Science, Dalhousie University. Halifax, NS, Canada, September 2005.
    [ id: tr0523 | BibTeX | bibitem ]

  23. Tomovic, Andrija, Janicic, Predrag, and Keselj, Vlado. N-gram-based Classification and Hierarchical Clustering of Genome Sequences. Technical Report CS-2005-02, Faculty of Computer Science, Dalhousie University. Halifax, NS, Canada, March 2005.
    [ id: tr0502 | PostScript | BibTeX | bibitem ]

  24. Tony Abou-Assaleh, Nick Cercone, Vlado Keselj, and Ray Sweidan. Detection of New Malicious Code Using N-gram Signatures. In Proceedings of the Second Annual Conference on Privacy, Security, and Trust (PST'04). Fredericton, New Brunswick, Canada, October 2004.
    [ id: pst04 | PDF | BibTeX | bibitem ]

  25. Sittichai Jiampojamarn, Vlado Keselj, and Nick Cercone. Two Experiments in Biological Term Annotation using Classification Methods. In Proceedings of the First Biotechnology and Bioinformatics Symposium (BIOT-04). Colorado Springs, Colorado, USA, September 2004.
    [ id: BTX | PDF | BibTeX | bibitem ]

  26. Tony Abou-Assaleh, Nick Cercone, Vlado Keselj, and Ray Sweidan. N-gram-based Detection of New Malicious Code. In The 28th Annual International Computer Software and Applications Conference (IEEE COMPSAC~2004). Hong Kong, China, September 2004.

  27. Vlado Keselj and Nick Cercone. CNG Method with Weighted Voting. In Ad-hoc Authorship Attribution Competition (AAAC), June 2004. Part of ALLC/ACH 2004 conference, extended abstract..
    [ id: aaac | PDF | PostScript | BibTeX | bibitem ]

  28. Vlado Keselj, Nick Cercone, Calvin Thomas, Ken Rockwood, and Elissa Asp. Analysis of Spontaneous Speech in Dementia of Alzheimer Type: Experiments with Morphological and Lexical Analysis., June 2004. Talk given at the PUL Workshop, 23-Apr-2004; Poster and abstract presented at IS'2004 Conference in Ottawa, June 2004..
    [ id: is2004 | BibTeX | bibitem ]

  29. Sittichai Jiampojamarn, Vlado Keselj, Nick Cercone. Automatic biological term annotation using classification. The Annual Dalhousie Computer Science In-House Conference (DCSI 2004), 2004. Poster, extended abstract.
    [ id: tee | BibTeX | bibitem ]

  30. Vlado Keselj, Fuchun Peng, Nick Cercone, and Calvin Thomas. N-gram-based Author Profiles for Authorship Attribution. In Proceedings of the Conference Pacific Association for Computational Linguistics, PACLING'03, pages 255--264. Dalhousie University, Halifax, Nova Scotia, Canada, August 2003.
    [ id: Kes03 | PDF | PostScript | BibTeX | bibitem ]

  31. Fuchun Peng, Dale Schuurmans, Vlado Keselj, and Shaojun Wang. Automated Authorship Attribution with Character Level Language Models. In Proceedings of the 10th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2003). Budapest, Hungary, April 12--17 2003.
    [ id: Peng03 | PDF | PostScript | BibTeX | bibitem ]

  32. Kenneth Rockwood, Elissa Asp, Vlado Keselj, and Michael McAllister. Unobtrusive Technology for Alzheimer's Disease. Ottawa, Canada Poster presentation given at the PRECARN Intelligent Healthcare Technologies presentation, related to the Prime Ministers' meeting..
    [ id: ottawa04 | BibTeX | bibitem ]

  33. Keselj, Vlado, Asp, Elissa, Rockwood, Kenneth, and Cercone, Nick. Computational analysis of language used by Alzheimer patients in interviews: An objective method for discriminating between healthy and demented individuals. In 6th Annual Symposium on the Treatment of Alzheimer's Disease. Halifax, Nova Scotia, November 26--29 2003.
    [ id: Keselj2003d | BibTeX | bibitem ]

Question Answering
  1. Tony Abou-Assaleh, Chris Whidden, Vlado Keselj, Hathai Tanta-ngai, and Nick Cercone. DalTREC 2007 QA System Jellyfish: Experiments with Integration of Lucene and GATE, and Improved Usage of WordNet and Qrel. In The Fiftheenth Text REtrieval Conference (TREC 2007). Gaithersburg, Maryland, USA, November 2007.
    [ id: DalTREC07qa | BibTeX | bibitem ]

  2. Vlado Keselj, Tony Abou-Assaleh, and Nick Cercone. DalTREC 2006 QA System Jellyfish: Regular Expressions Mark-and-Match Approach to Question Answering. In The Fourtheenth Text REtrieval Conference (TREC 2006). Gaithersburg, Maryland, USA, November 2006.
    [ id: DalTREC06qa | BibTeX | bibitem ]

  3. Tony Abou-Assaleh, Nick Cercone, Jon Doyle, Vlado Keselj, and Chris Whidden. DalTREC 2005 QA System Jellyfish: Mark-and-Match Approach to Question Answering. In The Fourtheenth Text REtrieval Conference (TREC 2005) Proceedings. Gaithersburg, Maryland, USA, November 2005.
    [ id: DalTREC05qa | PDF | PostScript | BibTeX | bibitem ]

  4. Tony Abou-Assaleh, Nick Cercone, and Vlado Keselj. Question-Answering with Relaxed Unification. In Proceedings of the Conference Pacific Association for Computational Linguistics, PACLING'05. Meisei University, Hino Campus, Hino-shi, Tokyo, 191-8506 Japan, August 2005.
    [ id: pacling05b | BibTeX | bibitem ]

  5. Vlado Keselj, Anthony Cox. DalTREC 2004: Question Answering using Regular Expression Rewriting. In The Thirteenth Text REtrieval Conference (TREC 2004) Proceedings. Gaithersburg, Maryland, USA, November 2004.
    [ id: DalTREC04 | PDF | PostScript | BibTeX | bibitem ]

  6. Keselj, Vlado. Question Answering using Unification-based Grammar. In Advances in Artificial Intelligence, AI 2001, vol. LNAI 2056 of Lecture Notes in Computer Science, Springer, pages 297--306. Ottawa, Canada, June 2001.
    [ id: Keselj2001 | PostScript | BibTeX | bibitem ]

  7. Keselj, Vlado. Modular Stochastic HPSGs for Question Answering. School of Computer Science, University of Waterloo, no. CS-2002-28. Waterloo, Ontario, Canada, June 2002.
    [ id: Keselj2002b | PostScript | BibTeX | bibitem ]

  8. Keselj, Vlado. TREC-9 Question Answering: Some general and some specific issues. Waterloo, Canada, December 2000. An informal and incomplete report on TREC-9 QA track; write-up of a talk given on the seminar for the Stat-NLP group.
    [ id: Keselj2000 | PostScript | BibTeX | bibitem ]

ReEx Rewriting Transformations
  1. Tony Abou-Assaleh, Chris Whidden, Vlado Keselj, Hathai Tanta-ngai, and Nick Cercone. DalTREC 2007 QA System Jellyfish: Experiments with Integration of Lucene and GATE, and Improved Usage of WordNet and Qrel. In The Fiftheenth Text REtrieval Conference (TREC 2007). Gaithersburg, Maryland, USA, November 2007.
    [ id: DalTREC07qa | BibTeX | bibitem ]

  2. Vlado Keselj, Tony Abou-Assaleh, and Nick Cercone. DalTREC 2006 QA System Jellyfish: Regular Expressions Mark-and-Match Approach to Question Answering. In The Fourtheenth Text REtrieval Conference (TREC 2006). Gaithersburg, Maryland, USA, November 2006.
    [ id: DalTREC06qa | BibTeX | bibitem ]

  3. Tony Abou-Assaleh, Nick Cercone, Jon Doyle, Vlado Keselj, and Chris Whidden. DalTREC 2005 QA System Jellyfish: Mark-and-Match Approach to Question Answering. In The Fourtheenth Text REtrieval Conference (TREC 2005) Proceedings. Gaithersburg, Maryland, USA, November 2005.
    [ id: DalTREC05qa | PDF | PostScript | BibTeX | bibitem ]

  4. Keselj, Vlado. Starfish: A Perl-based Framework for Text-Embedded Programming and Preprocessing. The Perl Journal, June 2005.
    [ id: pj05 | BibTeX | bibitem ]

  5. Vlado Keselj, Anthony Cox. DalTREC 2004: Question Answering using Regular Expression Rewriting. In The Thirteenth Text REtrieval Conference (TREC 2004) Proceedings. Gaithersburg, Maryland, USA, November 2004.
    [ id: DalTREC04 | PDF | PostScript | BibTeX | bibitem ]

  6. Anthony Cox, Tony Abou-Assaleh, Wei Ai, Vlado Keselj. Lexical Source-Code Transformation. In Proceedings of the STS'04 Workshop at GPCE/OOPSLA. Vancouver, Canada, October 2004.
    [ id: sts04 | BibTeX | bibitem ]

Bioinformatics
  1. Haibin Liu, Vlado Keselj, and Christian Blouin. Exploring a Subgraph Matching Approach for Extracting Biological Events from Literature. Computational Intelligence, vol. 30, no. 3, pages 600-635, Wiley Periodicals, Inc., 2014.
    [ id: ci13 | BibTeX | bibitem ]

  2. Haibin Liu, Lawrence Hunter, Vlado Keselj, and Karin Verspoor. Approximate Subgraph Matching-based Literature Mining for Biomedical Events and Relations. PLOS ONE, vol. 8, Public Library of Science, April 2013.
    [ id: plosone2013 | BibTeX | bibitem ]

  3. Haibin Liu, Vlado Keselj, Christian Blouin, and Karin Verspoor. Subgraph Matching-based Literature Mining for Biomedical Relations and Events. In Proceedings of AAAI-2012 Fall Symposium on Information Retrieval and Knowledge Discovery in Biomedical Text. Arlington, VA, USA, Nov 2012.
    [ id: aaai-irkd | BibTeX | bibitem ]

  4. Haibin Liu, Vlado Keselj, and Christian Blouin. Biological Event Extraction using Subgraph Matching. In Proceedings of the 4th International Symposium on Semantic Mining in Biomedicine (SMBM-2010). Hinxton, Cambridgeshire, UK, October 2010.
    [ id: smbm2010 | BibTeX | bibitem ]

  5. Haibin Liu, Christian Blouin, and Vlado Keselj. Sentence identification of biological interactions using PATRICIA tree generated patterns and genetic algorithm optimized parameters. Data & Knowledge Engineering, vol. 69, no. 1, pages 137--152, Elsevier Science Publishers, 2010.
    [ id: dke09 | BibTeX | bibitem ]

  6. Katherine Magee and Vlado Keselj. EulMiner: A Graph-based Interactive Visualization for Biomedical Term Identification. APICS 2009 -- APICS Mathematics, Statistics and Computer Science Conference. Dalhousie University, Halifax, Canada, 2009. Poster.
    [ id: apics09k | BibTeX | bibitem ]

  7. Vlado Keselj, Haibin Liu, Norbert Zeh, Christian Blouin, Chris Whidden. Finding Optimal Parameters for Edit Distance Based Sequence Classification is NP-Hard. In Proceedings of StReBio'09, KDD-09 Workshop on Statistical Relational Mining and Learning in Bioinformatics . Paris, France, June 2009.
    [ id: strebio09 | BibTeX | bibitem ]

  8. Haibin Liu, Christian Blouin, and Vlado Keselj. Identifying Interaction Sentences from Biological Literature Using Automatically Extracted Patterns. In Proceedings of BioNLP 2009, NAACL/HLT 2009 Workshop. Boulder, Colorado, USA, 2009.
    [ id: bionlp09 | BibTeX | bibitem ]

  9. Haibin Liu, Christian Blouin, and Vlado Keselj. An Unsupervised Method for Extracting Domain-specific Affixes in Biological Literature. Technical Report CS-2008-01, Faculty of Computer Science, Dalhousie University. Halifax, NS, Canada, January 2008.
    [ id: tr0801 | PDF | BibTeX | bibitem ]

  10. Haibin Liu, Christian Blouin, and Vlado Keselj. An Unsupervised Method for Extracting Domain-specific Affixes in Biological Literature. In Proceedings of BioNLP 2007, ACL 2007 Workshop. Prague, Czech Republic, June 29 2007.
    [ id: acl07 | BibTeX | bibitem ]

  11. Haibin Liu, Christian Blouin, Vlado Keselj. A Practical Method for Extracting Prefixes and Suffixes of Biological Terms. The Annual Dalhousie Computer Science In-House Conference (#dcsi 2007), pages 1--2, 2007. Extended abstract.

  12. Sittichai Jiampojamarn, Nick Cercone, and Vlado Keselj. Biological Named Entity Recognition using N-grams and Classification Methods. In Proceedings of the Conference Pacific Association for Computational Linguistics, PACLING'05. Meisei University, Hino Campus, Hino-shi, Tokyo, 191-8506 Japan, August 2005.
    [ id: pacling05a | PDF | BibTeX | bibitem ]

  13. Andrija Tomovic, Predrag Janicic, and Vlado Keselj. n-gram-based Classification and Unsupervised Hierarchical Clustering of Genome Sequences. Computer Methods and Programs in Biomedicine, vol. 81, pages 137--153, February 2006.
    [ id: gen05 | PDF | BibTeX | bibitem ]

  14. Sittichai Jiampojamarn, Vlado Keselj, and Nick Cercone. Two Experiments in Biological Term Annotation using Classification Methods. In Proceedings of the First Biotechnology and Bioinformatics Symposium (BIOT-04). Colorado Springs, Colorado, USA, September 2004.
    [ id: BTX | PDF | BibTeX | bibitem ]

  15. Sittichai Jiampojamarn, Vlado Keselj, Nick Cercone. Automatic biological term annotation using classification. The Annual Dalhousie Computer Science In-House Conference (DCSI 2004), 2004. Poster, extended abstract.
    [ id: tee | BibTeX | bibitem ]

Health Informatics
  1. Agarwal, Harshit and Keselj, Vlado. Common N-Gram Method (CNG): A Promising Approach to Detecting Mental Health Disorders on Social Media. In Proceedings of 23th International Symposium INFOTEH-JAHORINA 2024, IEEE Digital Library, March 2024.
    [ id: info24 | PDF | BibTeX | bibitem ]

  2. Dijana Kosmajac, Kirstie Smith, Vlado Keselj, and Susan Kirkland. Graph-based Topic Extraction using Centroid Distance of Phrase Embeddings on Healthy Aging Open-ended Survey Questions. In Proceedings of 1st IEEE ICDM Workshop on Data Mining for Healthy Aging, IEEE ICDM 2020. Sorrento, Italy, 2020.
    [ id: icdm2020ws | PDF | BibTeX | bibitem ]

  3. Susan Kirkland, Dhivya Jayaraman, Vlado Keselj, Matko Bosnjak, Lindsay Kobayashi, Theo D. Cosco, Yoko Ishigami-Doyle. Older Adults' Perspectives on Healthy Aging in the Canadian Longitudinal Study on Aging: A Machine Learning Approach to Qualitative Analysis. CAG2018.ca Making it Matter: Mobilizing Aging Research, Practice and Policy. Vancouver, BC, Canada, 2018. Extended abstract.
    [ id: cag18 | BibTeX | bibitem ]

  4. Dhivya Jayaraman and Vlado Keselj. Automatic Summarization of Canadian Longitudinal Study on Aging (CLSA) Data. The Annual Dalhousie Computer Science In-House Conference (DCSI~2018), 2018. Extended abstract.
    [ id: dcsi18d | BibTeX | bibitem ]

  5. Haibin Liu, Vlado Keselj, and Christian Blouin. Exploring a Subgraph Matching Approach for Extracting Biological Events from Literature. Computational Intelligence, vol. 30, no. 3, pages 600-635, Wiley Periodicals, Inc., 2014.
    [ id: ci13 | BibTeX | bibitem ]

  6. Calvin Thomas, Vlado Keselj, Nick Cercone, Kenneth Rockwood, and Elissa Asp. Detecting and Rating Dementia of Alzheimer Type through Lexical Analysis of Spontaneous Speech. In Computational Approaches to Assistive Technologies for People with Disabilities, pages 154--171, IOS Press, Inc. Fairfax, VA, USA, 2013.
    [ id: c13t | BibTeX | bibitem ]

  7. Lalita Narupiyakul, Vlado Keselj, Nick Cercone, and Booncharoen Sirinaovakul. Speech and Prosodic Processing for Assistive Technology. In Computational Approaches to Assistive Technologies for People with Disabilities, pages 36--48, IOS Press, Inc. Fairfax, VA, USA, 2013.
    [ id: c13l | BibTeX | bibitem ]

  8. Haibin Liu, Lawrence Hunter, Vlado Keselj, and Karin Verspoor. Approximate Subgraph Matching-based Literature Mining for Biomedical Events and Relations. PLOS ONE, vol. 8, Public Library of Science, April 2013.
    [ id: plosone2013 | BibTeX | bibitem ]

  9. Haibin Liu, Vlado Keselj, Christian Blouin, and Karin Verspoor. Subgraph Matching-based Literature Mining for Biomedical Relations and Events. In Proceedings of AAAI-2012 Fall Symposium on Information Retrieval and Knowledge Discovery in Biomedical Text. Arlington, VA, USA, Nov 2012.
    [ id: aaai-irkd | BibTeX | bibitem ]

  10. Pif Edwards and Vlado Keselj. PifMed: A System for Categorical Exploration of MEDLINE Articles using the MeSH Taxonomy. In Proceedings of Advances in Health Informatics Conference, AHIC'2012. Toronto, ON, Canada, April 2012.
    [ id: ahic12 | PDF | BibTeX | bibitem ]

  11. Kunal Mohindra, Ingrid Sketris, Heather Lummis, Susan Bowles, and Vlado Keselj. Developing Indicators for Sedative-Hypnotic Drug Use at an Acute Care Hospital in Nova Scotia. Annual Conference of the Canadian Association for Health Services and Policy Research (CAHSPR), May 2011. Abstract and poster presentation (refereed by abstract).
    [ id: cahspr2011 | BibTeX | bibitem ]

  12. Haibin Liu, Vlado Keselj, and Christian Blouin. Biological Event Extraction using Subgraph Matching. In Proceedings of the 4th International Symposium on Semantic Mining in Biomedicine (SMBM-2010). Hinxton, Cambridgeshire, UK, October 2010.
    [ id: smbm2010 | BibTeX | bibitem ]

  13. Pif Edwards and Vlado Keselj. MeSH Represented MEDLINE Query Results. In Proceedings of Canadian AI'2010, vol. LNAI 6085 of Lecture Notes in Computer Science, Springer, pages 75--86. Ottawa, ON, Canada, May 2010.
    [ id: ai10p | BibTeX | bibitem ]

  14. Haibin Liu, Christian Blouin, and Vlado Keselj. Sentence identification of biological interactions using PATRICIA tree generated patterns and genetic algorithm optimized parameters. Data & Knowledge Engineering, vol. 69, no. 1, pages 137--152, Elsevier Science Publishers, 2010.
    [ id: dke09 | BibTeX | bibitem ]

  15. Katherine Magee and Vlado Keselj. EulMiner: A Graph-based Interactive Visualization for Biomedical Term Identification. APICS 2009 -- APICS Mathematics, Statistics and Computer Science Conference. Dalhousie University, Halifax, Canada, 2009. Poster.
    [ id: apics09k | BibTeX | bibitem ]

  16. Vlado Keselj, Haibin Liu, Norbert Zeh, Christian Blouin, Chris Whidden. Finding Optimal Parameters for Edit Distance Based Sequence Classification is NP-Hard. In Proceedings of StReBio'09, KDD-09 Workshop on Statistical Relational Mining and Learning in Bioinformatics . Paris, France, June 2009.
    [ id: strebio09 | BibTeX | bibitem ]

  17. Haibin Liu, Christian Blouin, and Vlado Keselj. Identifying Interaction Sentences from Biological Literature Using Automatically Extracted Patterns. In Proceedings of BioNLP 2009, NAACL/HLT 2009 Workshop. Boulder, Colorado, USA, 2009.
    [ id: bionlp09 | BibTeX | bibitem ]

  18. Pif Edwards and Vlado Keselj. MedicInfoSys: An Architecture for an Evidence-Based Medical Information Research and Delivery System. Technical Report CS-2009-05, Faculty of Computer Science, Dalhousie University. Halifax, NS, Canada, October 2009.
    [ id: tr0905 | BibTeX | bibitem ]

  19. Haibin Liu, Christian Blouin, and Vlado Keselj. An Unsupervised Method for Extracting Domain-specific Affixes in Biological Literature. Technical Report CS-2008-01, Faculty of Computer Science, Dalhousie University. Halifax, NS, Canada, January 2008.
    [ id: tr0801 | PDF | BibTeX | bibitem ]

  20. Haibin Liu, Christian Blouin, and Vlado Keselj. An Unsupervised Method for Extracting Domain-specific Affixes in Biological Literature. In Proceedings of BioNLP 2007, ACL 2007 Workshop. Prague, Czech Republic, June 29 2007.
    [ id: acl07 | BibTeX | bibitem ]

  21. Haibin Liu, Christian Blouin, Vlado Keselj. A Practical Method for Extracting Prefixes and Suffixes of Biological Terms. The Annual Dalhousie Computer Science In-House Conference (#dcsi 2007), pages 1--2, 2007. Extended abstract.

  22. Syed Sibte Raza Abidi, Peter Bath, and Vlado Keselj (eds.). Advancing Health Information Management and Health Informatics: Issues, Strategies, and Tools; Proceedings of the 11th International Symposium for Health Information Management Research (iSHIMR 2006). , Faculty of Computer Science, Dalhousie University. Halifax, Nova Scotia, Canada, July 2006.
    [ id: ishimr06 | BibTeX | bibitem ]

  23. Haewon Chung, Vlado Keselj, and Ray Sweidan. A Semi-Structured e-Forms Approach to Deployment of Electronic Clinical Guidelines: A Proposal. In Proceedings of the 11th International Symposium on Health Information Management Research (iSHIMR 2006), pages 289--295, Faculty of Computer Science, Dalhousie University. Halifax, Canada, 2006.
    [ id: ha | BibTeX | bibitem ]

  24. Calvin Thomas, Vlado Keselj, Nick Cercone, Kenneth Rockwood, and Elissa Asp. Automatic Detection and Rating of Dementia of Alzheimer Type through Lexical Analysis of Spontaneous Speech. In Proceedings of IEEE ICMA 2005. Niagara Falls, Ontario, Canada, July 2005.
    [ id: icma05 | PDF | BibTeX | bibitem ]

  25. Vlado Keselj, Nick Cercone, Calvin Thomas, Ken Rockwood, and Elissa Asp. Analysis of Spontaneous Speech in Dementia of Alzheimer Type: Experiments with Morphological and Lexical Analysis., June 2004. Talk given at the PUL Workshop, 23-Apr-2004; Poster and abstract presented at IS'2004 Conference in Ottawa, June 2004..
    [ id: is2004 | BibTeX | bibitem ]

  26. Kenneth Rockwood, Elissa Asp, Vlado Keselj, and Michael McAllister. Unobtrusive Technology for Alzheimer's Disease. Ottawa, Canada Poster presentation given at the PRECARN Intelligent Healthcare Technologies presentation, related to the Prime Ministers' meeting..
    [ id: ottawa04 | BibTeX | bibitem ]

  27. Keselj, Vlado, Asp, Elissa, Rockwood, Kenneth, and Cercone, Nick. Computational analysis of language used by Alzheimer patients in interviews: An objective method for discriminating between healthy and demented individuals. In 6th Annual Symposium on the Treatment of Alzheimer's Disease. Halifax, Nova Scotia, November 26--29 2003.
    [ id: Keselj2003d | BibTeX | bibitem ]

Detection and Rating of Dementia of Alzheimer Type
  1. Calvin Thomas, Vlado Keselj, Nick Cercone, Kenneth Rockwood, and Elissa Asp. Detecting and Rating Dementia of Alzheimer Type through Lexical Analysis of Spontaneous Speech. In Computational Approaches to Assistive Technologies for People with Disabilities, pages 154--171, IOS Press, Inc. Fairfax, VA, USA, 2013.
    [ id: c13t | BibTeX | bibitem ]

  2. Calvin Thomas, Vlado Keselj, Nick Cercone, Kenneth Rockwood, and Elissa Asp. Automatic Detection and Rating of Dementia of Alzheimer Type through Lexical Analysis of Spontaneous Speech. In Proceedings of IEEE ICMA 2005. Niagara Falls, Ontario, Canada, July 2005.
    [ id: icma05 | PDF | BibTeX | bibitem ]

  3. Vlado Keselj, Nick Cercone, Calvin Thomas, Ken Rockwood, and Elissa Asp. Analysis of Spontaneous Speech in Dementia of Alzheimer Type: Experiments with Morphological and Lexical Analysis., June 2004. Talk given at the PUL Workshop, 23-Apr-2004; Poster and abstract presented at IS'2004 Conference in Ottawa, June 2004..
    [ id: is2004 | BibTeX | bibitem ]

  4. Kenneth Rockwood, Elissa Asp, Vlado Keselj, and Michael McAllister. Unobtrusive Technology for Alzheimer's Disease. Ottawa, Canada Poster presentation given at the PRECARN Intelligent Healthcare Technologies presentation, related to the Prime Ministers' meeting..
    [ id: ottawa04 | BibTeX | bibitem ]

  5. Keselj, Vlado, Asp, Elissa, Rockwood, Kenneth, and Cercone, Nick. Computational analysis of language used by Alzheimer patients in interviews: An objective method for discriminating between healthy and demented individuals. In 6th Annual Symposium on the Treatment of Alzheimer's Disease. Halifax, Nova Scotia, November 26--29 2003.
    [ id: Keselj2003d | BibTeX | bibitem ]

Computational Morphology and Lexicology
  1. Chris Jordan, Jane E. Tougas, John Healy, Vlado Keselj, and Carolyn Watters. Swordfish2: Using Kernel Density Estimation to Smooth Ngram Models for Morphological Analysis. Journal of Interesting Negative Results in Natural Language Processing and Machine Learning, vol. 1, pages 1--18, 2008.
    [ id: swf | BibTeX | bibitem ]

  2. Vlado Keselj and Danko Sipka. A Suffix Subsumption-based Approach to Building Stemmers and Lemmatizers for Highly Inflectional Languages with Sparse Resources. INFOTHECA, Journal of Informatics and Librarianship, vol. IX, no. 1--2, pages 23a--33a, 21--31, May 2008.
    [ id: stemmer08 | BibTeX | bibitem ]

  3. Chris Jordan, John Healy, and Vlado Keselj. Swordfish: An Unsupervised Ngram Based Approach to Morphological Analysis. In SIGIR '06: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 657--658, ACM Press. Seattle, Washington, USA, August 2006.
    [ id: sigir06 | BibTeX | bibitem ]

  4. Vlado Keselj and Tanja Keselj. What do users want from an on-line dictionary: A seven-years usage study of an e-dictionary. In 9th INTEX/NooJ Conference. Belgrade, Serbia, 2006.
    [ id: nooj | BibTeX | bibitem ]

  5. Vlado Keselj, Tanja Keselj, and Larisa Zlatic. R{j}ecnik.com: English--Serbo-Croatian Electronic Dictionary. In Proceedings of COLING'04 Workshop on Enhancing and Using Electronic Dictionaries. Geneve, Switzerland, August 2004.
    [ id: Coling04 | PDF | PostScript | BibTeX | bibitem ]

Semantic Web and Peer-to-Peer for Research Support
  1. Hathai Tanta-ngai, Vlado Keselj, and Evangelos E. Milios. Building a Self-organizing Peer-to-peer Network in Shrack -- A P2P System for Scientific Document Tracking. APICS 2009 -- APICS Mathematics, Statistics and Computer Science Conference, 2009. Extended abstract.
    [ id: apics09h | BibTeX | bibitem ]

  2. Hathai Tanta-ngai, Evangelos E. Milios, Vlado Keselj. Self-organizing Peer-to-Peer Network for Collaborative Document Tracking. In Proceedings of CIKM 2009 Workshop. Complex Networks in Information & Knowledge Management. ACM Eighteenth Conference on Information and Knowledge Management (CIKM'2009). Hongkong, China., November 2009.
    [ id: cnikm09 | BibTeX | bibitem ]

  3. Hathai Tanta-ngai, Vlado Keselj, Evangelos E. Milios. Shrack: Description and Performance Evaluation of a Peer-to-Peer System for Document Sharing and Tracking using Pull-Only Information Dissemination. In Proceedings of The Fourth International Workshop on Hot Topics in Peer-to-Peer Systems (Hot-P2P), Workshop of 21st IEEE International Parallel & Distributed Processing Symposium. Long Beach, California, USA, March 2007.
    [ id: hotp2p | PDF | BibTeX | bibitem ]

  4. Hathai Tanta-ngai, Vlado Keselj, and Evangelos E. Milios. Shrack: A Pull-Only Peer-to-Peer Framework for Document Sharing and Tracking. The Annual Dalhousie Computer Science In-House Conference (#dcsi 2007), pages 9--10, 2007. Extended abstract.

  5. Vlado Keselj and Nick Cercone. PPDN--A Framework for Peer-to-peer Collaborative Research Network. In Proceedings of The Second International Workshop on Web-based Support Systems (WSS'04), pages 88--93. Beijing, China, September 2004. In conjunction with 2004 IEEE/WIC/ACM International Conference on Web Intelligence..
    [ id: ppdn | PDF | PostScript | BibTeX | bibitem ]

  6. Asad Satti, Nick Cercone, and Vlado Keselj. Experiments in Web Page Classification for Semantic Web. In Proceedings of The Second International Workshop on Web-based Support Systems (WSS'04). Beijing, China, September 2004. In conjunction with 2004 IEEE/WIC/ACM International Conference on Web Intelligence..
    [ id: wss230 | PDF | BibTeX | bibitem ]

Computational Number Theory
  1. Gregory Zaverucha and Vlado Keselj. Efficient Pairing-Based Cryptography. The Annual Dalhousie Computer Science In-House Conference (DCSI 2005), 2005. Extended abstract.

  2. Keselj, Vlado. Length of Finite Pierce Series: Theoretical Analysis and Numerical Computations. Technical Report CS-96-21, Department of Computer Science, University of Waterloo. Waterloo, Ontario, Canada, 1996.
    [ id: tr1996 | PDF | PostScript | BibTeX | bibitem ]

Multi-Agent Systems
  1. Vlado Keselj and Dawn Jutla. QTIP: Multi-Agent NLP and Privacy Architecture for Information Retrieval in Usable Web Privacy Software. In Proceedings of IEEE/WIC/ACM Web Intelligence Conference 2005. Compiegne University of Technology, France, 2005. 18% acceptance rate.
    [ id: wi2005 | PDF | BibTeX | bibitem ]

  2. Keselj, Vlado. Multi-agent systems for Internet information retrieval using natural language processing. Technical Report CS-98-24, Department of Computer Science, University of Waterloo. Waterloo, Ontario, Canada, 1998. Reprint of Master's thesis.
    [ id: tr98 | PDF | BibTeX | bibitem ]

  3. Keselj, Vlado. Multi-agent systems for Internet information retrieval using natural language processing. Department of Computer Science, University of Waterloo. Waterloo, Ontario, Canada, 1998. Reprinted as [tr98].
    [ id: MTh | BibTeX | bibitem ]

Other
  1. Wranik-Lohrenz, Tymon, Abramson, Darren, and Keselj, Vlado. Cross-lingual Tokenization of Slavic Languages in Large Language Models. In Proceedings of FASL33. Halifax, NS, Canada, May 2024.
    [ id: fasl33a | BibTeX | bibitem ]

  2. Jariwala, Gaurav and Keselj, Vlado. Mimicking Electronic Gaming Machine Player Behavior using Reinforcement Learning. In Proceedings of Canadian AI'2023. McGill University, Montreal, QC, Canada, June 2023.
    [ id: cai23g | PDF | BibTeX | bibitem ]

  3. Taylor, Stacey and Keselj, Vlado. Don't Worry Accountants, ChatGPT Won't be Taking Your Job... Yet. In Proceedings of Canadian AI'2023. McGill University, Montreal, QC, Canada, June 2023.
    [ id: cai23s | PDF | BibTeX | bibitem ]

  4. Keselj, Vlado. Automated Authorship Attribution using CNG Distance on Blog Posts in the Serbian Language. In Proceedings of 22th International Symposium INFOTEH-JAHORINA 2023, IEEE Digital Library. Bosnia and Herzegovina, March 2023.
    [ id: info23 | PDF | BibTeX | bibitem ]

  5. Balfagih, Ahmed and Keselj, Vlado. Twitter Arabic Dialect Identification using Different Feature Engineering Models. The Communications of the IBIMA, 2023. Accepted, extended version of the conference paper..
    [ id: ab2023-ibima-j | BibTeX | bibitem ]

  6. Balfagih, Ahmed and Keselj, Vlado. Twitter Arabic Dialect Identification using Different Feature Engineering Models. In Proceedings of the 40th IBIMA Conference, 2023.
    [ id: ab2023-ibima | BibTeX | bibitem ]

  7. Sylvain Charlebois, Andrea Rankin, Stacey Taylor, Vlado Keselj, Gumataw Abebe, Stefanie Colombo, Kathleen Kevany, Paola A. Marignani, Janet Music, Rick Nason, Phoebe Stephens, Samantha Taylor, Simon Somogyi, Ethan Jackson, Graham Taylor, Maria Corradini, Sara El-Shawa, Jess Halnes, Paul Uys, Erna Van Duren, Stuart Smyth, Rim Lassoued, Kelleen Wiseman, Richard Brichello, Matias Margulis, Isabelle Lavole, Janet Lord, Kim Humes, Erin Lee. Canada's Food Price Report 2023, 13th Edition. , Dalhousie University, University of Guelph, University of Saskatchewan, University of British Columbia, 2022.
    [ id: foodreport2023 | BibTeX | bibitem ]

  8. Balfagih, Ahmed and Keselj, Vlado. Twitter Arabic Dialect Identification using AraBERT. In Proceedings of 39th IBIMA Conference, 2022.
    [ id: ab2022-ibima | BibTeX | bibitem ]

  9. Balfagih, Ahmed, Keselj, Vlado, and Taylor, Stacey. N-gram and Word2Vec Feature Engineering Approaches for Spam Recognition on Some Influential Twitter Topics in Saudi Arabia. Journal of Advances in Information Technology, 2022.
    [ id: ab2022-j | BibTeX | bibitem ]

  10. Gawai, Harsh M., Conrad, Colin D., and Keselj, Vlado. It's more than Memes: User Risk Appetite and App Enjoyment Predict Simulated Mobile Trading App Behavior. In CONF-IRM 2022 Proceedings, International Conference on Information Resources Management (CONF-IRM), 2022.
    [ id: hg2022 | BibTeX | bibitem ]

  11. Balfagih, Ahmed, Keselj, Vlado, and Taylor, Stacey. N-gram and Word2Vec Feature Engineering Approaches for Spam Recognition on Some Influential Twitter Topics in Saudi Arabia. In Proceedings of the 2022 ICISDM 6th International Conference on Information Systems and Data Mining., 2022.
    [ id: ab2022-icisdm | BibTeX | bibitem ]

  12. Stacey Taylor and Vlado Keselj. Don't Blindly use Data: Towards a Data Statement for Computational Financial Research. In Proceedings of the IEEE BigData Conference, Workshiop on Responsible AI and Data Ethics (RAIDE), 2022.
    [ id: st2022-bigdata | BibTeX | bibitem ]

  13. Vlado Keselj. A Proposal for Universal Preprocessing and Text-Embedded Programming (PTEP) System. In Proceedings of 21th International Symposium INFOTEH-JAHORINA 2022, IEEE Digital Library. East Sarajevo, Bosnia and Herzegovina, March 2022.
    [ id: vk2022-infoteh | PDF | BibTeX | bibitem ]

  14. Sylvain Charlebois, Alyssa Gerhardt, Stacey Taylor, Mitchell Kane, Vlado Keselj, Elizabeth Fitting, Kathleen Kevany, Stefanie Colombo, Janet Music, Don Fiander, Tiff-Annie Kenny, Gumataw Abebe, Simon Somogyi, Ethan Jackson, Sara El-Shawa, Graham Taylor, Jess Haines, Maria Corradini, Paul Uys, Erna Van Duren, Stuart Smyth, James Vercammen, Kelleen Wiseman, Richard Brichello, Matias Margulis, Krisha Lim, Meng Zhang,. Canada's Food Price Report 2022. , Dalhousie University, University of Guelph, University of Saskatchewan, University of British Columbia, 2021.
    [ id: foodreport2022 | BibTeX | bibitem ]

  15. Stacey Taylor and Vlado Keselj. Predicting the Distress of Financial Intermediaries using Convolutional Neural Networks. In Proceedings of the IEEE Conference on Business Informatics (CBI 2021), IEEE CBI Forum on Artificial Intelligence, and Data-Driven Business Analytics and Applications, 2021.
    [ id: cbi2021 | BibTeX | bibitem ]

  16. Tahajjat Begum, Israat Haque, and Vlado Keselj. Deep Learning Models towards Gesture-controlled Drone Operation. In Proceedings of AnServApp 2020, 2nd International Workshop on Analytics for Service and Application Management, with CNSM 2020, 2020.
    [ id: cnsm2020 | BibTeX | bibitem ]

  17. Vlado Keselj. Starfish: A Prototype for Universal Preprocessing and Text-Embedded Programming. Technical Report 2007.02366, arXiv.org, 2020.
    [ id: arx2020-sfish | BibTeX | bibitem ]

  18. Dijana Kosmajac, Vlado Keselj. Twitter User Profiling: Bot and Gender Identification. In Proceedings of CLEF 2020, International Conference of the Cross-Langauge Evaluation Forum for European Languages, Springer, Cham, 2020.
    [ id: clef2020 | BibTeX | bibitem ]

  19. Stacey Taylor and Vlado Keselj. Using Extractive Lexicon-based Sentiment Analysis to Enhance Understanding of the Impact of Non-GAAP Measures in Financial Reporting. In Proceedings of the Second Workshop on Financial Technology and Natural Language Processing (FinNLP 2020), Workshop of IJCAI-PRICAI 2020. Virtual Conference, 2020.
    [ id: finnlp2020 | BibTeX | bibitem ]

  20. Stacey Taylor, Vlado Keselj. e-Commerce and Sentiment Analysis: Predicting Outcomes of Class Action Lawsuits. In Proceedings of the Third Workshop on e-Commerce and NLP, ACL 2020 Conference. Virtual Conference, July 2020.
    [ id: enclp2020 | BibTeX | bibitem ]

  21. Yichuan Xu, Vlado Keselj. Stock Prediction using Deep Learning and Sentiment Analysis. In Proceedings of the IEEE BigData Conference, Workshop on Big Data for Financial News and Data. Los Angeles, CA, USA, December 2019.
    [ id: BigData2019Y | PDF | BibTeX | bibitem ]

  22. Balfagih, Ahmed and Keselj, Vlado. Evaluating Sentiment Classifiers for Bitcoin Tweets in Price Prediction Task. In Proceedings of the IEEE BigData Conference, Workshop on Big Data for Financial News and Data. Los Angeles, CA, USA, December 2019.
    [ id: BigData2019A | BibTeX | bibitem ]

  23. Dijana Kosmajac, Vlado Keselj. Twitter Bot Detection using Diversity Measures. In Proceedings of the 3rd International Conference on Natural Language and Speech Processing 2019. Trento, Italy, September 2019.
    [ id: icnlsp | PDF | BibTeX | bibitem ]

  24. Dijana Kosmajac, Vlado Keselj. User Profiling: Bot and Gender Identification. In CLEF 2019 Working Notes, PAN Lab on Digital Text Forensics and Stylometry. Lugano, Switzerland, September 2019.
    [ id: clef2019 | BibTeX | bibitem ]

  25. Dijana Kosmajac, Vlado Keselj. Automatic Text Summarization of News Articles in Serbian Language. In Proceedings of 18th International Symposium INFOTEH-JAHORINA., IEEE Digital Library. Jahorina, Bosnia and Herzegovina, March 2019.
    [ id: infoteh2019 | BibTeX | bibitem ]

  26. Sylvain Charlebois, Eamonn McGuinty, Vlado Keselj, Caterine Mah, Andrea Giusto, Janet Music, Simon Somogyi, Francis Tapon, Paul Uys, Erna Van Duren, Jay Harris, Joon Son. Canada's Food Price Report 2019. , Dalhousie University, University of Guelph, Nova Scotia Community College (NSCC), 2018.
    [ id: foodreport2019 | BibTeX | bibitem ]

  27. Olga Tsubiks and Vlado Keselj. A Market Analytics Approach to Restaurant Review Data. In Proceedings of the 18th ACM Symposium on Document Engineering, ACM. Halifax, NS, Canada, 2018.
    [ id: doceng18-tsu | BibTeX | bibitem ]

  28. Nisha Simon and Vlado Keselj. Automatic Term Extraction in Technical Domain using Part-of-Speech and Common-Word Features. In Proceedings of the 18th ACM Symposium on Document Engineering, ACM. Halifax, NS, Canada, 2018.
    [ id: doceng18-sim | BibTeX | bibitem ]

  29. Vlado Keselj, Jimmy Huang, and Evangelos Milios (eds.). Proceedings of the ACM Symposium on Document Engineering 2018. Halifax, Canada, August 2018.
    [ id: doceng2018 | BibTeX | bibitem ]

  30. Magdalena Jankowska, Colin Conrad, Jabez Harris, and Vlado Keselj. N-Gram Based Approach for Automatic Prediction of Essay Rubric Marks. In Proceedings of Canadian AI'2018, pages 298--303. York University, Toronto, Ontario, Canada, May 2018.
    [ id: cai18 | BibTeX | bibitem ]

  31. Dijana Kosmajac, Vlado Keselj. Slavic Language Identification using Cascade Classifier Approach. In Proceedings of 17th International Symposium INFOTEH-JAHORINA., IEEE Digital Library. Jahorina, Bosnia and Herzegovina, March 2018.
    [ id: infoteh18 | BibTeX | bibitem ]

  32. Kenneth Power, Vlado Keselj, and Dijana Kosmajac. Regional Language and Dialect Visualization using Twitter Data and Character N-gram Analysis. The Annual Dalhousie Computer Science In-House Conference (DCSI~2018), 2018. Extended abstract.
    [ id: dcsi18k | BibTeX | bibitem ]

  33. Dijana Kosmajac, and Vlado Keselj. DalTeam@INLI-FIRE-2017: Native Language Identification using SVM with SGD Training. In FIRE 2017, Forum for Information Retrieval Evaluation, Working Notes on Indian Native Language Identification (INLI) Track, pages 118--122, December 2017. Best performing submission..
    [ id: INLI-FIRE-2017 | BibTeX | bibitem ]

  34. Dijana Kosmajac and Vlado Keselj. Language Identification in Multilingual, Short and Noisy Texts using Common N-Grams. In Proceedings of the IEEE BigData Conference, Workshop on Big Social Media Data Management and Analysis, December 2017.
    [ id: BigData2017 | BibTeX | bibitem ]

  35. Maria Gabriella Mosquera and Vlado Keselj. Identifying Electronic Gaming Machine Gambling Personae through Unsupervised Session Classification. Big Data and Information Analytics (BDIA), vol. 2, no. 2, pages 141--175, American Institute of Mathematical Sciences, April 2017.
    [ id: bdia2017 | BibTeX | bibitem ]

  36. Seyed Armin Sajadi, Evangelos Milios, and Vlado Keselj. Vector Space Representation of Concepts Using Wikipedia Graph Structure. In International Conference on Applications of Natural Language to Information Systems (NLDB 2017), pages 393--405, Springer, 2017.
    [ id: nldb2017 | BibTeX | bibitem ]

  37. Catherine Mah, Sylvain Charlebois, Jay Harris, Vlado Keselj, Paul Uys, Mustafa Koroglu, Francis Tapon, Erna H van Duren, Simon Somogyi, Andrea Giusto. Canada's Food Price Report 2018. , Dalhousie University, University of Guelph, 2017.
    [ id: foodreport2018 | BibTeX | bibitem ]

  38. Dijana Kosmajac, Vlado Keselj, and Evangelos Milios. EulerianGrapher: Text Visualisation at the Level of Character N-grams Based on Eulerian Graphs. In Proceedings of the 2017 ACM Workshop on Exploratory Search and Interactive Data Analytics, pages 59--63, ACM, 2017.
    [ id: esida17 | BibTeX | bibitem ]

  39. Colin Conrad, and Vlado Keselj. Predicting Political Donations Using Twitter Hashtags and Character N-Grams. In Proceedings of the IEEE Conference on Business Informatics (CBI 2016), 2016.
    [ id: cbi2016political | BibTeX | bibitem ]

  40. Colin Conrad, Naureen Ali, Vlado Keselj, and Qigang Gao. ELM: An Extended Logic Matching Method on Record Linkage Analysis of Disparate Databases for Profiling Data Mining. In Proceedings of the IEEE Conference on Business Informatics (CBI 2016), 2016.
    [ id: cbi2016elm | BibTeX | bibitem ]

  41. Axel J. Soto, Ryan Kiros, Vlado Keselj, and Evangelos Milios. Machine Learning Meets Visualization for Extracting Insights from Text Data. AI Matters, vol. 2, no. 2, pages 15--17, ACM, December 2015.
    [ id: soto2015 | BibTeX | bibitem ]

  42. Anh Dang, Raheleh Makki, Abidalrahman Moh'd, Aminul Islam, Vlado Keselj, and Evangelos E. Milios. Real Time Filtering of Tweets using Wikipedia Concepts and Google Tri-gram Semantic Relatedness. In The Twenty-Fourth Text REtrieval Conference (TREC 2015). Gaithersburg, Maryland, USA, November 2015.
    [ id: DalTREC15 | BibTeX | bibitem ]

  43. Axel J. Soto, Ryan Kiros, Vlado Keselj, and Evangelos Milios. Exploratory Visual Analysis and Interactive Pattern Extraction from Semi-Structured Data. ACM Transactions on Interactive Intelligent Systems (TiiS), vol. 5, October 2015.
    [ id: tiis2015 | BibTeX | bibitem ]

  44. Aminul Islam, Evangelos Milios, and Vlado Keselj. Do Important Words in Bag-of-Words Model of Text Relatendess help?. In Proceedings of TSD 2015, September 2015.
    [ id: tsd2015 | BibTeX | bibitem ]

  45. Armin Sajadi, Evangelos Milios, Vlado Keselj, and Jeannette Janssen. Domain-Specific Semantic Relatedness from Wikipedia Structure: A Case Study in Biomedical Text. In Proceedings of CICLING 2015, April 2015.
    [ id: cicling2015-as | BibTeX | bibitem ]

  46. Aminul Islam, Jie Mei, Evangelos Milios, and Vlado Keselj. When was Macbeth Written? Mapping Book to Time. In Proceedings of CICLING 2015, 2015.
    [ id: cicling2015-ai | BibTeX | bibitem ]

  47. Dijana Kosmajac and Vlado Keselj. Language Identification of Short Texts: An Overview of Methodologies Based on Character N-Grams. The Annual Dalhousie Computer Science In-House Conference (DCSI~2015), 2015. Extended abstract.
    [ id: dcsi15d | BibTeX | bibitem ]

  48. Magdalena Jankowska, Evangelos Milios, and Vlado Keselj. Authorship Attribution with Topically Unbalanced Train Data. The Annual Dalhousie Computer Science In-House Conference (DCSI~2015), 2015. Extended abstract.
    [ id: dcsi15m | BibTeX | bibitem ]

  49. Magdalena Jankowska, Vlado Keselj, and Evangelos E. Milios. Ensambles of Proximity-Based One-Class Classifiers for Author Verification. In Notebook for PAN at CLEF 2014 Working Notes CLEF 2014, 2014.
    [ id: clef2014 | BibTeX | bibitem ]

  50. Feifei Xu and Vlado Keselj. Collective Sentiment Mining of Microblogs in 24-hour Stock Price Movement Prediction. In Proceedings of the W3SC 2014 Workshop at the IEEE Conference on Business Informatics (CBI 2014), 2014.
    [ id: cbi2014ws | BibTeX | bibitem ]

  51. Axel Soto, Ryan Kiros, Vlado Keselj, and Evangelos Milios. In-depth Interactive Visual Exploration for Bridging Unstructured and Structured Document Content. In Proceedings of SDM 2014 Workshop on Exploratory Data Analysis. Philadelphia, PA, USA, Apr 2014.
    [ id: sdm2014ws | BibTeX | bibitem ]

  52. Zhishen Yang, Jacek Wolkowicz, Vlado Keselj. Social Media Corporate User Identification using Text Classification. In Proceedings of Canadian AI'2014. Montreal, Quebec, Canada, May 2014.
    [ id: ai14 | BibTeX | bibitem ]

  53. Magdalena Jankowska, Evangelos Milios, and Vlado Keselj. Author Verification using Common N-Gram Profiles of Text Documents. The Annual Dalhousie Computer Science In-House Conference (DCSI~2014), 2014. Extended abstract.
    [ id: dcsi14m | BibTeX | bibitem ]

  54. Magdalena Jankowska, Vlado Keselj, and Evangelos E. Milios. Proximity Based One-class Classification with Common N-Gram Dissimilarity for Authorship Verification Task. In CLEF 2013 Evaluation Labs and Workshop CLEF 2013, 2013.
    [ id: clef2013v | BibTeX | bibitem ]

  55. Magdalena Jankowska, Vlado Keselj, and Evangelos E. Milios. CNG Text Classification for Authorship Profiling Task. In CLEF 2013 Evaluation Labs and Workshop CLEF 2013, 2013.
    [ id: clef2013p | BibTeX | bibitem ]

  56. Magdalena Jankowska, Vlado Keselj, and Evangelos E. Milios. Proximity based one-class classification with Common N-Gram dissimilarity for authorship verification task. The Annual Dalhousie Computer Science In-House Conference (DCSI~2013), 2013. Extended abstract.
    [ id: dcsi13m | BibTeX | bibitem ]

  57. Armin Sajadi, Evangelos Milios, and Vlado Keselj. Graph-based Domain-specific Semantic Relatedness from Wikipedia. The Annual Dalhousie Computer Science In-House Conference (DCSI~2013), 2013. Extended abstract.
    [ id: dcsi13a | BibTeX | bibitem ]

  58. Jacek Wolkowicz, and Vlado Keselj. Evaluation of n-Gram-Based Classification Approaches on Classical Music Corpora. In Proceedings of Mathematics and Computation in Music, pages 213--225. Montreal, Canada, June 2013.
    [ id: mcm2013 | BibTeX | bibitem ]

  59. Marek Lipczak, Tomasz Niwiarowski, Vlado Keselj, and Evangelos Milios. Selective Retrieval for Categorization of Semi-structured Web Resources. In Proceedings of Canadian AI'2013, pages 126--137. Regina, SK, Canada, May 2013.
    [ id: ai13 | BibTeX | bibitem ]

  60. Jessica Perrie, Aminul Islam, Evangelos Milios, and Vlado Keselj. Using Google n-Grams to Expand Word-Emotion Association Lexicon. In Proceedings of CICLING 2013. Aegan, Samos, Greece, Mar 2013.
    [ id: cicling2013 | BibTeX | bibitem ]

  61. Aminul Islam, Evangelos Milios, and Vlado Keselj. Word Relatedness using Google n-grams. In Proceedings of COLING 2012. IIT Bombay, Mumbai, India, Dec 2012.
    [ id: coling12 | BibTeX | bibitem ]

  62. Magdalena Jankowska, Vlado Keselj, and Evangelos Milios. Relative N-Gram Signatures: Document Visualization at the Level of Character N-Grams. In Proceedings of IEEE Symposium on Visual Analytics Science and Technology, VAST 2012, Oct 2012.
    [ id: vast2012 | BibTeX | bibitem ]

  63. Ryan Kiros, Axel J. Soto, Evangelos E. Milios, and Vlado Keselj. Representation Learning for Sparse, High Dimensional Multi-label Classification. In Proceedings of RSCTC 2012 (Rough Sets and Current Trends in Computing), 2012.
    [ id: rsctc12 | BibTeX | bibitem ]

  64. Yannick Marchand, Vlado Keselj, Evangelos Milios, and Michael Shepherd. Quantifying the Role of the Opinion Lexicon in Sentiment Analysis. In Proceedings of #Influence12: Symposium & Workshop on Measuring Influence on Social Media #Influence12: Symposium & Workshop on Measuring Influence on Social Media. Dalhousie University, Halifax, Nova Scotia, Canada, September 2012. Extended abstract.
    [ id: influence12 | BibTeX | bibitem ]

  65. Jacek Wolkowicz, and Vlado Keselj. Analysis of Important Factors for Measuring Similarity of Symbolic Music using n-gram-based, Bag-of-words Approach. In Proceedings of Canadian AI'2012. Toronto, ON, Canada, May 2012.
    [ id: ai12j | BibTeX | bibitem ]

  66. Aminul Islam, Evangelos Milios, and Vlado Ke\v{s}elj. Text Similarity using Google Tri-grams. In Proceedings of Canadian AI'2012. Toronto, ON, Canada, May 2012.
    [ id: ai12a | BibTeX | bibitem ]

  67. Md. Abdur Rahman, Xinghui Zhao, Maria Gabriella Mosquera, Qigang Gao, Vlado Keselj, Hai Wang. Business Lead Generation for Online Real Estate Services: A Case Study. In Proceedigns of DBKDA 2012: The Fourth International Conference on Advances in Databases, Knowledge, and Data Applications, 2012.
    [ id: dbkda2012 | BibTeX | bibitem ]

  68. Axel Soto, Vlado Keselj, and Evangelos E. Milios. Interactive Clustering of Semi-Structured Documents. IBM CASCON 2012 Technology Showcases, 2012. Best Technology Showcase award.
    [ id: cascon2012 | BibTeX | bibitem ]

  69. Axel Soto, Vlado Keselj, and Evangelos E. Milios. Interactive Clustering of Semi-Structured Documents. The Annual Dalhousie Computer Science In-House Conference (DCSI~2012), 2012. Extended abstract.
    [ id: dcsi12ax | BibTeX | bibitem ]

  70. Armin Sajadi, Evangelos E. Milios, and Vlado Keselj. Extractig Semantics Relatedness from Wikipedia. The Annual Dalhousie Computer Science In-House Conference (DCSI~2012), 2012. Extended abstract.
    [ id: dcsi12ar | BibTeX | bibitem ]

  71. Jacek Wolkowicz and Vlado Keselj. Predicting Development of Research in Music Based on Parallels with Natural Language Processing. In Proceedings of 11th International Society for Music Information Retrieval Conference (ISMIR 2010), f(MIR) Workshop, pages 665--667. Utrecht, Netherlands, August 2010.
    [ id: ismir2010 | BibTeX | bibitem ]

  72. Atefeh Farzindar and Vlado Keselj (eds.). Advances in Artificial Intelligence, 23rd Canadian Conference on Artificial intelligence, Canadian AI 2010. , vol. LNAI 6085, Springer. Ottawa, Canada, May/June 2010.
    [ id: ai2010 | BibTeX | bibitem ]

  73. Vlado Keselj. Book Review: Speech and Language Processing (second edition) by Daniel Jurafsky and James H. Martin. Computational Linguistics, vol. 35, no. 3, pages 463--466, MIT Press, 2009.
    [ id: clreview09 | BibTeX | bibitem ]

  74. Connie Adsett, Yannick Marchand, and Vlado Keselj. Syllabification Rules Versus Data-driven Methods in a Language with Low Syllabic Complexity: The Case of Italian. Computer Speech and Language, vol. 23, no. 4, pages 444--463, Elsevier, October 2009.
    [ id: s09 | BibTeX | bibitem ]

  75. Jacek Wolkowicz, Michael Shepherd, and Vlado Keselj. Wikipedia Search: Combining Language Modeling and Link Analysis. Technical Report CS-2009-01, Faculty of Computer Science, Dalhousie University. Halifax, NS, Canada, January 2009.
    [ id: tr0901 | BibTeX | bibitem ]

  76. Keselj, Vlado and Endo, Tsutomu (eds.). Proceedings of the Conference Pacific Association for Computational Linguistics, PACLING'03. , Dalhousie University. Halifax, Nova Scotia, Canada, August 2003.
    [ id: Pacling03 | BibTeX | bibitem ]

  77. Keselj, Vlado. Natural language parsing for Internet information retrieval. In Proceedings of 1997 TRIO/ITRC Researcher Retreat, May 1997.
    [ id: Keselj:1997 | PostScript | BibTeX | bibitem ]

  78. Keselj, Vlado and Schuurmans, Dale. Course notes CS486/686:Introduction to Artificial Intelligence. Waterloo, Canada, December 2001.
    [ id: Keselj2001e | PostScript | BibTeX | bibitem ]

  79. Keselj, Vlado. Java Tutorial for CS240. Waterloo, Canada, October 1998. Java Tutorial slides presented to CS240 students in 1998
    [ id: Keselj98 | PostScript | BibTeX | bibitem ]

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