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Vlado Keselj
Vlado Kešelj
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- unicode name: Vlado Kešelj
- affiliation: Dalhousie University, Faculty of Computer Science
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Journal Articles
- 2015
- [j11]Axel J. Soto, Ryan Kiros, Vlado Keselj, Evangelos E. Milios:
Machine learning meets visualization for extracting insights from text data. AI Matters 2(2): 15-17 (2015) - [j10]Axel J. Soto
, Ryan Kiros, Vlado Keselj
Exploratory Visual Analysis and Interactive Pattern Extraction from Semi-Structured Data. ACM Trans. Interact. Intell. Syst. 5(3): 16:1-16:36 (2015) - 2014
- [j9]Haibin Liu, Vlado Keselj
Exploring a Subgraph Matching Approach for Extracting Biological Events from literature. Comput. Intell. 30(3): 600-635 (2014) - 2010
- [j8]Haibin Liu, Christian Blouin
Sentence identification of biological interactions using PATRICIA tree generated patterns and genetic algorithm optimized parameters. Data Knowl. Eng. 69(1): 137-152 (2010) - 2009
- [j7]Vlado Keselj:
Speech and Language Processing (second edition) Daniel Jurafsky and James H. Martin (Stanford University and University of Colorado at Boulder) Pearson Prentice Hall, 2009, hardbound, ISBN 978-0-13-187321-6. Comput. Linguistics 35(3): 463-466 (2009) - [j6]Connie R. Adsett, Yannick Marchand
Syllabification rules versus data-driven methods in a language with low syllabic complexity: The case of Italian. Comput. Speech Lang. 23(4): 444-463 (2009) - 2008
- [j5]Lalita Narupiyakul
Focus to emphasize tone analysis for prosodic generation. Comput. Math. Appl. 55(8): 1735-1753 (2008) - 2007
- [j4]Haibin Liu, Vlado Keselj
Combined mining of Web server logs and web contents for classifying user navigation patterns and predicting users' future requests. Data Knowl. Eng. 61(2): 304-330 (2007) - [j3]Vlado Keselj
A formal approach to subgrammar extraction for NLP. Math. Comput. Model. 45(3-4): 394-403 (2007) - 2006
- [j2]Andrija Tomovic, Predrag Janicic
n-Gram-based classification and unsupervised hierarchical clustering of genome sequences. Comput. Methods Programs Biomed. 81(2): 137-153 (2006) - 2002
- [j1]Nick Cercone, Lijun Hou, Vlado Keselj
From Computational Intelligence to Web Intelligence. Computer 35(11): 72-76 (2002)
Conference and Workshop Papers
- 2023
- [c73]Gaurav Jariwala, Vlado Keselj:
Mimicking Electronic Gaming Machine Player Behavior Using Reinforcement Learning. Canadian AI 2023 - [c72]Stacey Taylor, Vlado Keselj:
Don't Worry Accountants, ChatGPT Won't Be Taking Your Job...Yet. Canadian AI 2023 - 2022
- [c71]Stacey Taylor
Don't Blindly Use Data: Towards a Data Statement for Computational Financial Research. IEEE Big Data 2022: 5100-5109 - [c70]Ahmed M. Balfagih, Vlado Keselj, Stacey Taylor
N-gram and Word2Vec Feature Engineering Approaches for Spam Recognition on Some Influential Twitter Topics in Saudi Arabia. ICISDM 2022: 101-107 - 2021
- [c69]Stacey Taylor, Vlado Keselj:
Predicting the Distress of Financial Intermediaries using Convolutional Neural Networks. CBI (2) 2021: 71-77 - 2020
- [c68]Dijana Kosmajac, Vlado Keselj
Twitter User Profiling: Bot and Gender Identification - Notebook for PAN at CLEF 2019. CLEF 2020: 141-153 - [c67]Tahajjat Begum, Israat Haque
Deep Learning Models for Gesture-controlled Drone Operation. CNSM 2020: 1-7 - [c66]Dijana Kosmajac, Kirstie Smith, Vlado Keselj
Graph-based Topic Extraction Using Centroid Distance of Phrase Embeddings on Healthy Aging Open-ended Survey Questions. ICDM (Workshops) 2020: 621-628 - 2019
- [c65]Ahmed M. Balfagih, Vlado Keselj
Evaluating Sentiment C1assifiers for Bitcoin Tweets in Price Prediction Task. IEEE BigData 2019: 5499-5506 - [c64]Yichuan Xu, Vlado Keselj
Stock Prediction using Deep Learning and Sentiment Analysis. IEEE BigData 2019: 5573-5580 - [c63]Dijana Kosmajac, Vlado Keselj:
Twitter User Profiling: Bot and Gender Identification. CLEF (Working Notes) 2019 - [c62]Dijana Kosmajac, Vlado Keselj:
Twitter Bot Detection using Diversity Measures. ICNLSP 2019: 1-8 - 2018
- [c61]Magdalena Jankowska, Colin Conrad
N-Gram Based Approach for Automatic Prediction of Essay Rubric Marks. Canadian AI 2018: 298-303 - [c60]Olga Tsubiks, Vlado Keselj
A Market Analytics Approach to Restaurant Review Data. DocEng 2018: 16:1-16:7 - [c59]Nisha Ingrid Simon, Vlado Keselj
Automatic Term Extraction in Technical Domain using Part-of-Speech and Common-Word Features. DocEng 2018: 51:1-51:4 - 2017
- [c58]Dijana Kosmajac, Vlado Keselj
Language identification in multilingual, short and noisy texts using common N-grams. IEEE BigData 2017: 2752-2759 - [c57]Dijana Kosmajac, Vlado Keselj:
DalTeam@INLI-FIRE-2017: Native Language Identification using SVM with SGD Training. FIRE (Working Notes) 2017: 118-122 - [c56]Dijana Kosmajac, Vlado Keselj
EulerianGrapher: Text Visualisation at the Level of Character N-grams based on Eulerian Graphs. ESIDA@IUI 2017: 59-63 - [c55]Armin Sajadi, Evangelos E. Milios, Vlado Keselj
Vector Space Representation of Concepts Using Wikipedia Graph Structure. NLDB 2017: 393-405 - 2016
- [c54]Colin Conrad
ELM: An Extended Logic Matching Method on Record Linkage Analysis of Disparate Databases for Profiling Data Mining. CBI (1) 2016: 1-6 - [c53]Colin Conrad
Predicting Political Donations Using Twitter Hashtags and Character N-Grams. CBI (2) 2016: 1-7 - 2015
- [c52]Aminul Islam, Jie Mei, Evangelos E. Milios
When was Macbeth Written? Mapping Book to Time. CICLing (1) 2015: 73-84 - [c51]Armin Sajadi, Evangelos E. Milios
Domain-Specific Semantic Relatedness from Wikipedia Structure: A Case Study in Biomedical Text. CICLing (1) 2015: 347-360 - [c50]Anh Dang, Raheleh Makki, Abidalrahman Moh'd, Aminul Islam, Vlado Keselj, Evangelos E. Milios:
Real Time Filtering of Tweets Using Wikipedia Concepts and Google Tri-gram Semantic Relatedness. TREC 2015 - [c49]Aminul Islam, Evangelos E. Milios
Do Important Words in Bag-of-Words Model of Text Relatedness Help? TSD 2015: 569-577 - 2014
- [c48]Zhishen Yang, Jacek Wolkowicz, Vlado Keselj
Social Media Corporate User Identification Using Text Classification. Canadian AI 2014: 363-368 - [c47]Magdalena Jankowska, Vlado Keselj, Evangelos E. Milios:
Ensembles of Proximity-Based One-Class Classifiers for Author Verification Notebook for PAN at CLEF 2014. CLEF (Working Notes) 2014: 1069-1072 - [c46]Magdalena Jankowska, Evangelos E. Milios, Vlado Keselj:
Author Verification Using Common N-Gram Profiles of Text Documents. COLING 2014: 387-397 - [c45]Feifei Xu, Vlado Keselj
Collective Sentiment Mining of Microblogs in 24-Hour Stock Price Movement Prediction. CBI (2) 2014: 60-67 - 2013
- [c44]Marek Lipczak, Tomasz Niewiarowski, Vlado Keselj
Selective Retrieval for Categorization of Semi-structured Web Resources. Canadian AI 2013: 126-137 - [c43]Jessica Perrie, Aminul Islam, Evangelos E. Milios
Using Google n-Grams to Expand Word-Emotion Association Lexicon. CICLing (2) 2013: 137-148 - [c42]Magdalena Jankowska, Vlado Keselj, Evangelos E. Milios:
Proximity Based One-class Classification with Common N-Gram Dissimilarity for Authorship Verification Task Notebook for PAN at CLEF 2013. CLEF (Working Notes) 2013 - [c41]Magdalena Jankowska, Vlado Keselj, Evangelos E. Milios:
CNG Text Classification for Authorship Profiling Task Notebook for PAN at CLEF 2013. CLEF (Working Notes) 2013 - [c40]Jacek Wolkowicz, Vlado Keselj
Evaluation of n-Gram-Based Classification Approaches on Classical Music Corpora. MCM 2013: 213-225 - 2012
- [c39]Haibin Liu, Vlado Keselj, Christian Blouin, Karin Verspoor:
Subgraph Matching-Based Literature Mining for Biomedical Relations and Events. AAAI Fall Symposium: Information Retrieval and Knowledge Discovery in Biomedical Text 2012 - [c38]Jacek Wolkowicz, Vlado Keselj
Analysis of Important Factors for Measuring Similarity of Symbolic Music Using n-gram-Based, Bag-of-Words Approach. Canadian AI 2012: 230-241 - [c37]Aminul Islam, Evangelos E. Milios
Text Similarity Using Google Tri-grams. Canadian AI 2012: 312-317 - [c36]Aminul Islam, Evangelos E. Milios, Vlado Keselj:
Comparing Word Relatedness Measures Based on Google $n$-grams. COLING (Posters) 2012: 495-506 - [c35]Magdalena Jankowska, Vlado Keselj
Relative N-gram signatures: Document visualization at the level of character N-grams. IEEE VAST 2012: 103-112 - [c34]Ryan Kiros, Axel J. Soto, Evangelos E. Milios, Vlado Keselj
Representation Learning for Sparse, High Dimensional Multi-label Classification. RSCTC 2012: 463-470 - 2011
- [c33]Jane E. Mason, Michael A. Shepherd, Jack Duffy, Vlado Keselj:
Classifying Web Pages by Genre - Dealing with Unbalanced Distributions, Multiple Labels and Noise. WEBIST 2011: 589-594 - 2010
- [c32]Pif Edwards, Vlado Keselj
MeSH Represented MEDLINE Query Results. Canadian AI 2010: 75-86 - [c31]Matthew Butler, Vlado Keselj
Data Mining Techniques for Proactive Fault Diagnostics of Electronic Gaming Machines. Canadian AI 2010: 366-369 - [c30]Jane E. Mason, Michael A. Shepherd, Jack Duffy, Vlado Keselj
An n-Gram Based Approach to Multi-Labeled Web Page Genre Classification. HICSS 2010: 1-10 - [c29]Jacek Wolkowicz, Vlado Keselj:
Predicting Development of Research in Music Based on Parallels with Natural Language Processing. ISMIR 2010: 665-667 - [c28]Haibin Liu, Vlado Keselj, Christian Blouin:
Biological event extraction using subgraph matching. Semantic Mining in Biomedicine 2010 - 2009
- [c27]Matthew Butler, Vlado Keselj
Financial Forecasting Using Character N-Gram Analysis and Readability Scores of Annual Reports. Canadian AI 2009: 39-51 - [c26]Matthew Butler, Vlado Keselj
Optimizing a Pseudo Financial Factor Model with Support Vector Machines and Genetic Programming. Canadian AI 2009: 191-194 - [c25]Haibin Liu, Christian Blouin, Vlado Keselj:
Identifying Interaction Sentences from Biological Literature Using Automatically Extracted Patterns. BioNLP@HLT-NAACL 2009: 133-141 - [c24]Hathai Tanta-ngai, Evangelos E. Milios
Self-organizing peer-to-peer networks for collaborative document tracking. CIKM-CNIKM 2009: 59-66 - [c23]Jacek Wolkowicz, Malcolm I. Heywood
Evolving Indirectly Represented Melodies with Corpus-Based Fitness Evaluation. EvoWorkshops 2009: 603-608 - [c22]Jacek Wolkowicz, Stephen Brooks, Vlado Keselj:
Midivis: Visualizing Music Structure via Similarity Matrices. ICMC 2009 - [c21]Vlado Keselj
Finding optimal parameters for edit distance based sequence classification is NP-hard. KDD Workshop on Statistical and Relational Learning in Bioinformatics 2009: 17-21 - 2007
- [c20]Haibin Liu, Christian Blouin, Vlado Keselj:
An Unsupervised Method for Extracting Domain-specific Affixes in Biological Literature. BioNLP@ACL 2007: 33-40 - [c19]Hathai Tanta-ngai, Vlado Keselj
Shrack: Description and Performance Evaluation of a Peer-to-Peer System for Document Sharing and Tracking using Pull-Only Information Dissemination. IPDPS 2007: 1-8 - 2006
- [c18]Chris Jordan, John Healy, Vlado Keselj:
Swordfish: an unsupervised Ngram based approach to morphological analysis. SIGIR 2006: 657-658 - [c17]Vlado Keselj, Tony Abou-Assaleh, Nick Cercone:
DalTREC 2006 QA System Jellyfish: Regular Expressions Mark-and-Match Approach to Question Answering. TREC 2006 - 2005
- [c16]Jiayun Guo, Vlado Keselj
Integrating Web Content Clustering into Web Log Association Rule Mining. Canadian AI 2005: 182-193 - [c15]Yingbo Miao, Vlado Keselj
Document clustering using character N-grams: a comparative evaluation with term-based and word-based clustering. CIKM 2005: 357-358 - [c14]Tony Abou-Assaleh, Nick Cercone, Vlado Keselj
A Probabilistic Evaluation Function for Relaxed Unification. COMPSAC (2) 2005: 35-36 - [c13]Tony Abou-Assaleh, Nick Cercone, Jon Doyle, Vlado Keselj, Chris Whidden:
DalTREC 2005 QA System Jellyfish: Mark-and-Match Approach to Question Answering. TREC 2005 - [c12]Vlado Keselj, Evangelos E. Milios, Andrew Tuttle, Singer Wang, Roger Zhang:
DalTREC 2005 Spam Track: Spam Filtering Using N-gram-based Techniques. TREC 2005 - [c11]Vlado Keselj
QTIP: Multi-Agent NLP and Privacy Architecture for Information Retrieval in Usable Web Privacy Software. Web Intelligence 2005: 718-724 - 2004
- [c10]Tony Abou-Assaleh, Nick Cercone, Vlado Keselj, Ray Sweidan:
N-Gram-Based Detection of New Malicious Code. COMPSAC Workshops 2004: 41-42 - [c9]Tony Abou-Assaleh, Nick Cercone, Vlado Keselj, Ray Sweidan:
Detection of New Malicious Code Using N-grams Signatures. PST 2004: 193-196 - [c8]Vlado Keselj, Anthony Cox:
DalTREC 2004: Question Answering Using Regular Expression Rewriting. TREC 2004 - [c7]Vlado Keselj, Nick Cercone:
PPDN - a Framework for Peer-to-Peer Collaborative Research Network. Workshop on Web-based Support Systems 2004: 88-93 - [c6]Asad Satti, Nick Cercone, Vlado Keselj:
Experiments in Web Page Classification for Semantic Web. Workshop on Web-based Support Systems 2004: 137-141 - 2003
- [c5]Fuchun Peng, Dale Schuurmans, Vlado Keselj, Shaojun Wang:
Language Independent Authorship Attribution with Character Level N-Grams. EACL 2003: 267-274 - [c4]Tony Abou-Assaleh, Nick Cercone, Vlado Keselj
Towards the Theory of Relaxed Unification. ISMIS 2003: 397-401 - 2001
- [c3]Vlado Keselj
Question Answering Using Unification-Based Grammar. AI 2001: 297-306 - [c2]Vlado Keselj:
Modular HPSG [Head-driven Phrase Structure Grammar]. SMC 2001: 2867-2872 - 1998
- [c1]Vlado Keselj
Grammar Model and Grammar Induction in the System NL PAGE. ICGI 1998: 57-66
Parts in Books or Collections
- 2013
- [p2]Lalita Narupiyakul
Speech and Prosodic Processing for Assistive Technology. Computational Approaches to Assistive Technologies for People with Disabilities 2013: 36-48 - [p1]Calvin Thomas, Vlado Keselj
Detecting and Rating Dementia of Alzheimer Type through Lexical Analysis of Spontaneous Speech. Computational Approaches to Assistive Technologies for People with Disabilities 2013: 154-171
Editorship
- 2010
- [e1]Atefeh Farzindar, Vlado Keselj:
Advances in Artificial Intelligence, 23rd Canadian Conference on Artificial Intelligence, Canadian, AI 2010, Ottawa, Canada, May 31 - June 2, 2010. Proceedings. Lecture Notes in Computer Science 6085, Springer 2010, ISBN 978-3-642-13058-8 [contents]
Informal and Other Publications
- 2020
- [i1]Vlado Keselj:
Starfish: A Prototype for Universal Preprocessing and Text-Embedded Programming. CoRR abs/2007.02366 (2020)
Coauthor Index
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