Mark J. Carman

Orcid: 0000-0001-6575-9737

Affiliations:
  • Monash University, Australia


According to our database1, Mark J. Carman authored at least 104 papers between 2002 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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PhD thesis 
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Online presence:

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Bibliography

2024
LLM Support for Real-Time Technical Assistance.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track, 2024

2023
A Citizen Science Approach for Analyzing Social Media With Crowdsourcing.
IEEE Access, 2023

Vitali at ACTI - Transformer-based Conspiracy Theory Identification.
Proceedings of the Eighth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2023), 2023

2022
Investigating Deep Learning Based Breast Cancer Subtyping Using Pan-Cancer and Multi-Omic Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Analyzing social media with crowdsourcing in Crowd4SDG.
CoRR, 2022

GeMI: interactive interface for transformer-based Genomic Metadata Integration.
Database J. Biol. Databases Curation, 2022

Polimi-ImageClef Group at ImageCLEFmedical Caption task 2022.
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

PoliMi-FlatEarthers at CheckThat!-2022: GPT-3 applied to claim detection.
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

2021
CDF Transform-and-Shift: An effective way to deal with datasets of inhomogeneous cluster densities.
Pattern Recognit., 2021

What's wrong with this video? Comparing Explainers for Deepfake Detection.
CoRR, 2021

Image-Based Social Sensing: Combining AI and the Crowd to Mine Policy-Adherence Indicators from Twitter.
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering: Software Engineering in Society, 2021

Perception Visualization: Seeing Through The Eyes Of a DNN.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Self-labeling methods for unsupervised transfer ranking.
Inf. Sci., 2020

Image-based Social Sensing: Combining AI and the Crowd to Mine Policy-Adherence Indicators from Twitter.
CoRR, 2020

A technical survey on statistical modelling and design methods for crowdsourcing quality control.
Artif. Intell., 2020

Automated Integration of Genomic Metadata with Sequence-to-Sequence Models.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020

2019
Lowest probability mass neighbour algorithms: relaxing the metric constraint in distance-based neighbourhood algorithms.
Mach. Learn., 2019

Sub-Word Embeddings for OCR Corrections in Highly Fusional Indic Languages.
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

OCR On-the-Go: Robust End-to-End Systems for Reading License Plates & Street Signs.
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

TheEarthIsFlat's Submission to CLEF'19CheckThat! Challenge.
Proceedings of the Working Notes of CLEF 2019, 2019

Evaluating Deep Semi-supervised Learning for Whole-Transcriptome Breast Cancer Subtyping.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2019

2018
Investigations in Computational Sarcasm
Cognitive Systems Monographs 37, Springer, ISBN: 978-981-10-8395-2, 2018

Grouping points by shared subspaces for effective subspace clustering.
Pattern Recognit., 2018

Criminal motivation on the dark web: A categorisation model for law enforcement.
Digit. Investig., 2018

Laying foundations for effective machine learning in law enforcement. Majura - A labelling schema for child exploitation materials.
Digit. Investig., 2018

CDF Transform-Shift: An effective way to deal with inhomogeneous density datasets.
CoRR, 2018

SIR-Hawkes: Linking Epidemic Models and Hawkes Processes to Model Diffusions in Finite Populations.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Manipulating Visibility of Political and Apolitical Threads on Reddit via Score Boosting.
Proceedings of the 17th IEEE International Conference On Trust, 2018

Leveraging Label Category Relationships in Multi-class Crowdsourcing.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Sarcasm Target Identification: Dataset and An Introductory Approach.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Distinguishing Question Subjectivity from Difficulty for Improved Crowdsourcing.
Proceedings of The 10th Asian Conference on Machine Learning, 2018

2017
Efficient parameter learning of Bayesian network classifiers.
Mach. Learn., 2017

Automatic Sarcasm Detection: A Survey.
ACM Comput. Surv., 2017

Multi-domain evaluation framework for named entity recognition tools.
Comput. Speech Lang., 2017

SIR-Hawkes: on the Relationship Between Epidemic Models and Hawkes Point Processes.
CoRR, 2017

Expect the Unexpected: Harnessing Sentence Completion for Sarcasm Detection.
Proceedings of the Computational Linguistics, 2017

A Framework for Document Specific Error Detection and Corrections in Indic OCR.
Proceedings of the 1st International Workshop on Open Services and Tools for Document Analysis, 2017

Error Detection and Corrections in Indic OCR Using LSTMs.
Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017

Estimating Relative User Expertise for Content Quality Prediction on Reddit.
Proceedings of the 28th ACM Conference on Hypertext and Social Media, 2017

Leveraging Side Information to Improve Label Quality Control in Crowd-Sourcing.
Proceedings of the Fifth AAAI Conference on Human Computation and Crowdsourcing, 2017

Efficient Benchmarking of NLP APIs using Multi-armed Bandits.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Using Knowledge Graphs to Explain Entity Co-occurrence in Twitter.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Annotator Expertise and Information Quality in Annotation-based Retrieval.
Proceedings of the 22nd Australasian Document Computing Symposium, 2017

Sarcasm Suite: A Browser-Based Engine for Sarcasm Detection and Generation.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Comparing Pointwise and Listwise Objective Functions for Random-Forest-Based Learning-to-Rank.
ACM Trans. Inf. Syst., 2016

Density-ratio based clustering for discovering clusters with varying densities.
Pattern Recognit., 2016

ALR<sup>n</sup>: accelerated higher-order logistic regression.
Mach. Learn., 2016

'Who would have thought of that!': A Hierarchical Topic Model for Extraction of Sarcasm-prevalent Topics and Sarcasm Detection.
CoRR, 2016

Automatic Identification of Sarcasm Target: An Introductory Approach.
CoRR, 2016

Political Issue Extraction Model: A Novel Hierarchical Topic Model That Uses Tweets By Political And Non-Political Authors.
Proceedings of the 7th Workshop on Computational Approaches to Subjectivity, 2016

A Little Competition Never Hurt Anyone's Relevance Assessments.
Proceedings of the Third International Workshop on Gamification for Information Retrieval co-located with 39th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2016), 2016

Tinder Me Softly - How Safe Are You Really on Tinder?
Proceedings of the Security and Privacy in Communication Networks, 2016

That'll Do Fine!: A Coarse Lexical Resource for English-Hindi MT, Using Polylingual Topic Models.
Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

How Do Cultural Differences Impact the Quality of Sarcasm Annotation?: A Case Study of Indian Annotators and American Text.
Proceedings of the 10th SIGHUM Workshop on Language Technology for Cultural Heritage, 2016

Overcoming Key Weaknesses of Distance-based Neighbourhood Methods using a Data Dependent Dissimilarity Measure.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Are Word Embedding-based Features Useful for Sarcasm Detection?
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Harnessing Sequence Labeling for Sarcasm Detection in Dialogue from TV Series 'Friends'.
Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, 2016

On the Effectiveness of Query Weighting for Adapting Rank Learners to New Unlabelled Collections.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Beyond Clustering: Sub-DAG Discovery for Categorising Documents.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Estimating Domain-Specific User Expertise for Answer Retrieval in Community Question-Answering Platforms.
Proceedings of the 21st Australasian Document Computing Symposium, 2016

How Challenging is Sarcasm versus Irony Classification?: A Study With a Dataset from English Literature.
Proceedings of the Australasian Language Technology Association Workshop 2016, Melbourne, Australia, December 5, 2016

EmoGram: An Open-Source Time Sequence-Based Emotion Tracker and Its Innovative Applications.
Proceedings of the Knowledge Extraction from Text, 2016

2015
Monte-Carlo Filesystem Search - A crawl strategy for digital forensics.
Digit. Investig., 2015

Deep Broad Learning - Big Models for Big Data.
CoRR, 2015

Your Sentiment Precedes You: Using an author's historical tweets to predict sarcasm.
Proceedings of the 6th Workshop on Computational Approaches to Subjectivity, 2015

Using Multilingual Topic Models for Improved Alignment in English-Hindi MT.
Proceedings of the 12th International Conference on Natural Language Processing, 2015

A Computational Approach to Automatic Prediction of Drunk-Texting.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
Naive-Bayes Inspired Effective Pre-Conditioner for Speeding-Up Logistic Regression.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Improving Scalability and Performance of Random Forest Based Learning-to-Rank Algorithms by Aggressive Subsampling.
Proceedings of the Twelfth Australasian Data Mining Conference, AusDM 2014, Brisbane, 2014

Towards Risk-Aware Resource Selection.
Proceedings of the Information Retrieval Technology, 2014

Undersampling Techniques to Re-balance Training Data for Large Scale Learning-to-Rank.
Proceedings of the Information Retrieval Technology, 2014

2013
Alleviating naive Bayes attribute independence assumption by attribute weighting.
J. Mach. Learn. Res., 2013

Building user profiles from topic models for personalised search.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
Aggregation Methods for Proximity-Based Opinion Retrieval.
ACM Trans. Inf. Syst., 2012

Employing document dependency in blog search.
J. Assoc. Inf. Sci. Technol., 2012

Comparing Tweets and Tags for URLs.
Proceedings of the Advances in Information Retrieval, 2012

2011
A multi-collection latent topic model for federated search.
Inf. Retr., 2011

Improving social bookmark search using personalised latent variable language models.
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

Investigating the Statistical Properties of User-Generated Documents.
Proceedings of the Flexible Query Answering Systems - 9th International Conference, 2011

Personal Blog Retrieval Using Opinion Features.
Proceedings of the Advances in Information Retrieval, 2011

Bayesian latent variable models for collaborative item rating prediction.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010
University of Lugano at TREC 2010.
Proceedings of The Nineteenth Text REtrieval Conference, 2010

Proximity-based opinion retrieval.
Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

Statistics of Online User-Generated Short Documents.
Proceedings of the Advances in Information Retrieval, 2010

Tripartite Hidden Topic Models for Personalised Tag Suggestion.
Proceedings of the Advances in Information Retrieval, 2010

Ranking social bookmarks using topic models.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Towards query log based personalization using topic models.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009
University of Lugano at TREC 2009 Blog Track.
Proceedings of The Eighteenth Text REtrieval Conference, 2009

Tag navigation.
Proceedings of the 2nd International Workshop on Social Software Engineering and Applications, 2009

Blog distillation using random walks.
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

A statistical comparison of tag and query logs.
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

Investigating Learning Approaches for Blog Post Opinion Retrieval.
Proceedings of the Advances in Information Retrieval, 2009

A Topic-Based Measure of Resource Description Quality for Distributed Information Retrieval.
Proceedings of the Advances in Information Retrieval, 2009

2008
Beyond the Elves: Making Intelligent Agents Intelligent.
AI Mag., 2008

University of Lugano at TREC 2008 Blog Track.
Proceedings of The Seventeenth Text REtrieval Conference, 2008

Towards personalized distributed information retrieval.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

Exploiting Data Semantics to Discover, Extract, and Model Web Sources.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Tag data and personalized information retrieval.
Proceedings of the Proceeding of the 2008 ACM Workshop on Search in Social Media, 2008

2007
Learning Semantic Definitions of Online Information Sources.
J. Artif. Intell. Res., 2007

Learning Semantic Descriptions of Web Information Sources.
Proceedings of the IJCAI 2007, 2007

2005
Learning Source Descriptions for Web Services.
Proceedings of the Proceedings, 2005

2003
Planning For Web Services the Hard Way.
Proceedings of the 2003 Symposium on Applications and the Internet Workshops (SAINT 2003), 27-31 January 2003, 2003

2002
A Request Language for Web-Services Based on Planning and Constraint Satisfaction.
Proceedings of the Technologies for E-Services, Third International Workshop, 2002

Towards an Economy-Based Optimisation of File Access and Replication on a Data Grid.
Proceedings of the 2nd IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2002), 2002


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