Mark James Carman

Publication Activity (10 Years)

Years Active: 2002-2023
Publications (10 Years): 42

Top Topics

Resource Selection

Attribute Independence Assumption

Logistic Regression

Top Venues

Publications

Michael Vitali, Vincenzo Scotti, Mark James Carman
Vitali at ACTI - Transformer-based Conspiracy Theory Identification. EVALITA (2023)
Carlo Bono, Mehmet Oguz Mülâyim, Cinzia Cappiello, Mark James Carman, Jesús Cerquides, Jose Luis Fernandez-Marquez, Maria Rosa (Rosy) Mondardini, Edoardo Ramalli, Barbara Pernici
A Citizen Science Approach for Analyzing Social Media With Crowdsourcing. IEEE Access 11 (2023)
Loris Giulivi, Mark James Carman, Giacomo Boracchi
Perception Visualization: Seeing Through the Eyes of a DNN. CoRR (2022)
Virginia Negri, Dario Scuratti, Stefano Agresti, Donya Rooein, Gabriele Scalia, Amudha Ravi Shankar, Jose Luis Fernandez-Marquez, Mark James Carman, Barbara Pernici
Image-Based Social Sensing: Combining AI and the Crowd to Mine Policy-Adherence Indicators from Twitter. ICSE-SEIS (2021)
Samuele Pino, Mark James Carman, Paolo Bestagini
What's wrong with this video? Comparing Explainers for Deepfake Detection. CoRR (2021)
Virginia Negri, Dario Scuratti, Stefano Agresti, Donya Rooein, Amudha Ravi Shankar, Jose Luis Fernandez-Marquez, Mark James Carman, Barbara Pernici
Image-based Social Sensing: Combining AI and the Crowd to Mine Policy-Adherence Indicators from Twitter. CoRR (2020)
Yuan Jin, Mark James Carman, Ye Zhu, Wray L. Buntine
Distinguishing Question Subjectivity from Difficulty for Improved Crowdsourcing. CoRR (2018)
Marian-Andrei Rizoiu, Swapnil Mishra, Quyu Kong, Mark James Carman, Lexing Xie
SIR-Hawkes: Linking Epidemic Models and Hawkes Processes to Model Diffusions in Finite Populations. WWW (2018)
Yiwei Wang, Mark James Carman, Yuan-Fang Li
Using Knowledge Graphs to Explain Entity Co-occurrence in Twitter. CIKM (2017)
Aditya Joshi, Pushpak Bhattacharyya, Mark James Carman
Automatic Sarcasm Detection: A Survey. ACM Comput. Surv. 50 (5) (2017)
Zahraa Said Abdallah, Mark James Carman, Gholamreza Haffari
Multi-domain evaluation framework for named entity recognition tools. Comput. Speech Lang. 43 (2017)
Yuan Jin, Mark James Carman, Dongwoo Kim, Lexing Xie
Leveraging Side Information to Improve Label Quality Control in Crowd-Sourcing. HCOMP (2017)
Nayyar Abbas Zaidi, Geoffrey I. Webb, Mark James Carman, François Petitjean, Wray L. Buntine, Mike Hynes, Hans De Sterck
Efficient parameter learning of Bayesian network classifiers. Mach. Learn. 106 (9-10) (2017)
Rohit Saluja, Devaraj Adiga, Parag Chaudhuri, Ganesh Ramakrishnan, Mark James Carman
Error Detection and Corrections in Indic OCR Using LSTMs. ICDAR (2017)
Rohit Saluja, Devaraj Adiga, Ganesh Ramakrishnan, Parag Chaudhuri, Mark James Carman
A Framework for Document Specific Error Detection and Corrections in Indic OCR. OST@ICDAR (2017)
Wern Han Lim, Mark James Carman, Sze-Meng Jojo Wong
Estimating Relative User Expertise for Content Quality Prediction on Reddit. HT (2017)
Aditya Joshi, Samarth Agrawal, Pushpak Bhattacharyya, Mark James Carman
Expect the unexpected: Harnessing Sentence Completion for Sarcasm Detection. CoRR (2017)
Marian-Andrei Rizoiu, Swapnil Mishra, Quyu Kong, Mark James Carman, Lexing Xie
SIR-Hawkes: on the Relationship Between Epidemic Models and Hawkes Point Processes. CoRR (2017)
Gholamreza Haffari, Tuan Dung Tran, Mark James Carman
Efficient Benchmarking of NLP APIs using Multi-armed Bandits. EACL (1) (2017)
Wern Han Lim, Mark James Carman
Annotator Expertise and Information Quality in Annotation-based Retrieval. ADCS (2017)
Aditya Joshi, Diptesh Kanojia, Pushpak Bhattacharyya, Mark James Carman
Sarcasm Suite: A Browser-Based Engine for Sarcasm Detection and Generation. AAAI (2017)
Aditya Joshi, Samarth Agrawal, Pushpak Bhattacharyya, Mark James Carman
Expect the Unexpected: Harnessing Sentence Completion for Sarcasm Detection. PACLING (2017)
Pengfei Li, Mark Sanderson, Mark James Carman, Falk Scholer
On the Effectiveness of Query Weighting for Adapting Rank Learners to New Unlabelled Collections. CIKM (2016)
Wern Han Lim, Mark James Carman, Sze-Meng Jojo Wong
Estimating Domain-Specific User Expertise for Answer Retrieval in Community Question-Answering Platforms. ADCS (2016)
Ye Zhu, Kai Ming Ting, Mark James Carman
Density-ratio based clustering for discovering clusters with varying densities. Pattern Recognit. 60 (2016)
Aditya Joshi, Vaibhav Tripathi, Kevin Patel, Pushpak Bhattacharyya, Mark James Carman
Are Word Embedding-based Features Useful for Sarcasm Detection? EMNLP (2016)
Aditya Joshi, Vaibhav Tripathi, Kevin Patel, Pushpak Bhattacharyya, Mark James Carman
Are Word Embedding-based Features Useful for Sarcasm Detection? CoRR (2016)
Aditya Joshi, Pushpak Bhattacharyya, Mark James Carman
Political Issue Extraction Model: A Novel Hierarchical Topic Model That Uses Tweets By Political And Non-Political Authors. WASSA@NAACL-HLT (2016)
Yuan Jin, Mark James Carman, Lexing Xie
A Little Competition Never Hurt Anyone's Relevance Assessments. GamifIR@SIGIR (2016)
Ramakrishna B. Bairi, Mark James Carman, Ganesh Ramakrishnan
Beyond Clustering: Sub-DAG Discovery for Categorising Documents. CIKM (2016)
Nayyar Abbas Zaidi, Geoffrey I. Webb, Mark James Carman, François Petitjean, Jesús Cerquides
: accelerated higher-order logistic regression. Mach. Learn. 104 (2-3) (2016)
Aditya Joshi, Vaibhav Tripathi, Ravindra Soni, Pushpak Bhattacharyya, Mark James Carman
EmoGram: An Open-Source Time Sequence-Based Emotion Tracker and Its Innovative Applications. AAAI Workshop: Knowledge Extraction from Text (2016)
Aditya Joshi, Prayas Jain, Pushpak Bhattacharyya, Mark James Carman
'Who would have thought of that!': A Hierarchical Topic Model for Extraction of Sarcasm-prevalent Topics and Sarcasm Detection. CoRR (2016)
Diptesh Kanojia, Aditya Joshi, Pushpak Bhattacharyya, Mark James Carman
That'll Do Fine!: A Coarse Lexical Resource for English-Hindi MT, Using Polylingual Topic Models. LREC (2016)
Muhammad Ibrahim, Mark James Carman
Comparing Pointwise and Listwise Objective Functions for Random-Forest-Based Learning-to-Rank. ACM Trans. Inf. Syst. 34 (4) (2016)
Aditya Joshi, Pushpak Bhattacharyya, Mark James Carman, Jaya Saraswati, Rajita Shukla
How Do Cultural Differences Impact the Quality of Sarcasm Annotation?: A Case Study of Indian Annotators and American Text. LaTeCH@ACL (2016)
Aditya Joshi, Pushpak Bhattacharyya, Mark James Carman
Automatic Sarcasm Detection: A Survey. CoRR (2016)
Aditya Joshi, Vaibhav Tripathi, Pushpak Bhattacharyya, Mark James Carman
Harnessing Sequence Labeling for Sarcasm Detection in Dialogue from TV Series 'Friends'. CoNLL (2016)
Kai Ming Ting, Ye Zhu, Mark James Carman, Yue Zhu, Zhi-Hua Zhou
Overcoming Key Weaknesses of Distance-based Neighbourhood Methods using a Data Dependent Dissimilarity Measure. KDD (2016)
Aditya Joshi, Abhijit Mishra, Balamurali A. R., Pushpak Bhattacharyya, Mark James Carman
A Computational Approach to Automatic Prediction of Drunk Texting. CoRR (2016)
Aditya Joshi, Pranav Goel, Pushpak Bhattacharyya, Mark James Carman
Automatic Identification of Sarcasm Target: An Introductory Approach. CoRR (2016)
Aditya Joshi, Vaibhav Tripathi, Pushpak Bhattacharyya, Mark James Carman, Meghna Singh, Jaya Saraswati, Rajita Shukla
How Challenging is Sarcasm versus Irony Classification?: A Study With a Dataset from English Literature. ALTA (2016)
Aditya Joshi, Abhijit Mishra, Balamurali A. R., Pushpak Bhattacharyya, Mark James Carman
A Computational Approach to Automatic Prediction of Drunk-Texting. ACL (2) (2015)
Anupam Khattri, Aditya Joshi, Pushpak Bhattacharyya, Mark James Carman
Your Sentiment Precedes You: Using an author's historical tweets to predict sarcasm. WASSA@EMNLP (2015)
Nayyar Abbas Zaidi, Geoffrey I. Webb, Mark James Carman, François Petitjean
Deep Broad Learning - Big Models for Big Data. CoRR (2015)
Janis Dalins, Campbell Wilson, Mark James Carman
Monte-Carlo Filesystem Search - A crawl strategy for digital forensics. Digit. Investig. 13 (2015)
Diptesh Kanojia, Aditya Joshi, Pushpak Bhattacharyya, Mark James Carman
Using Multilingual Topic Models for Improved Alignment in English-Hindi MT. ICON (2015)
Ilya Markov, Mark James Carman, Fabio Crestani
Towards Risk-Aware Resource Selection. AIRS (2014)
Muhammad Ibrahim, Mark James Carman
Undersampling Techniques to Re-balance Training Data for Large Scale Learning-to-Rank. AIRS (2014)
Nayyar Abbas Zaidi, Mark James Carman, Jesús Cerquides, Geoffrey I. Webb
Naive-Bayes Inspired Effective Pre-Conditioner for Speeding-Up Logistic Regression. ICDM (2014)
Morgan Harvey, Fabio Crestani, Mark James Carman
Building user profiles from topic models for personalised search. CIKM (2013)
Nayyar Abbas Zaidi, Jesús Cerquides, Mark James Carman, Geoffrey I. Webb
Alleviating naive Bayes attribute independence assumption by attribute weighting. J. Mach. Learn. Res. 14 (1) (2013)
Mostafa Keikha, Fabio Crestani, Mark James Carman
Employing document dependency in blog search. J. Assoc. Inf. Sci. Technol. 63 (2) (2012)
Shima Gerani, Mark James Carman, Fabio Crestani
Aggregation Methods for Proximity-Based Opinion Retrieval. ACM Trans. Inf. Syst. 30 (4) (2012)
Morgan Harvey, Mark James Carman, David Elsweiler
Comparing Tweets and Tags for URLs. ECIR (2012)
Mark Baillie, Mark James Carman, Fabio Crestani
A multi-collection latent topic model for federated search. Inf. Retr. 14 (4) (2011)
Morgan Harvey, Mark James Carman, Ian Ruthven, Fabio Crestani
Bayesian latent variable models for collaborative item rating prediction. CIKM (2011)
Morgan Harvey, Ian Ruthven, Mark James Carman
Improving social bookmark search using personalised latent variable language models. WSDM (2011)
Shima Gerani, Mostafa Keikha, Mark James Carman, Fabio Crestani
Personal Blog Retrieval Using Opinion Features. ECIR (2011)
Giacomo Inches, Mark James Carman, Fabio Crestani
Investigating the Statistical Properties of User-Generated Documents. FQAS (2011)
Mostafa Keikha, Parvaz Mahdabi, Shima Gerani, Giacomo Inches, Javier Parapar, Mark James Carman, Fabio Crestani
University of Lugano at TREC 2010. TREC (2010)
Morgan Harvey, Mark Baillie, Ian Ruthven, Mark James Carman
Tripartite Hidden Topic Models for Personalised Tag Suggestion. ECIR (2010)
Mark James Carman, Fabio Crestani, Morgan Harvey, Mark Baillie
Towards query log based personalization using topic models. CIKM (2010)
Shima Gerani, Mark James Carman, Fabio Crestani
Proximity-based opinion retrieval. SIGIR (2010)
Giacomo Inches, Mark James Carman, Fabio Crestani
Statistics of Online User-Generated Short Documents. ECIR (2010)
Morgan Harvey, Ian Ruthven, Mark James Carman
Ranking social bookmarks using topic models. CIKM (2010)
Mark Baillie, Mark James Carman, Fabio Crestani
A Topic-Based Measure of Resource Description Quality for Distributed Information Retrieval. ECIR (2009)
Mostafa Keikha, Mark James Carman, Fabio Crestani
Blog distillation using random walks. SIGIR (2009)
Shima Gerani, Mark James Carman, Fabio Crestani
Investigating Learning Approaches for Blog Post Opinion Retrieval. ECIR (2009)
Mostafa Keikha, Mark James Carman, Robert Gwadera, Shima Gerani, Ilya Markov, Giacomo Inches, Az Azrinudin Alidin, Fabio Crestani
University of Lugano at TREC 2009 Blog Track. TREC (2009)
Mark James Carman, Mark Baillie, Robert Gwadera, Fabio Crestani
A statistical comparison of tag and query logs. SIGIR (2009)
José Luis Ambite, Craig A. Knoblock, Kristina Lerman, Anon Plangprasopchok, Thomas A. Russ, Cenk Gazen, Steven Minton, Mark James Carman
Exploiting Data Semantics to Discover, Extract, and Model Web Sources. ICDM Workshops (2008)
Craig A. Knoblock, José Luis Ambite, Mark James Carman, Matthew Michelson, Pedro A. Szekely, Rattapoom Tuchinda
Beyond the Elves: Making Intelligent Agents Intelligent. AI Mag. 29 (2) (2008)
Mark James Carman, Fabio Crestani
Towards personalized distributed information retrieval. SIGIR (2008)
Mark James Carman, Mark Baillie, Fabio Crestani
Tag data and personalized information retrieval. SSM (2008)
Shima Gerani, Mostafa Keikha, Mark James Carman, Robert Gwadera, Davide Taibi, Fabio Crestani
University of Lugano at TREC 2008 Blog Track. TREC (2008)
Mark James Carman, Craig A. Knoblock
Learning Semantic Definitions of Online Information Sources. J. Artif. Intell. Res. 30 (2007)
Mark James Carman, Craig A. Knoblock
Learning Semantic Descriptions of Web Information Sources. IJCAI (2007)
Mark James Carman
Learning Source Descriptions for Web Services. AAAI (2005)
Mark James Carman, Luciano Serafini
Planning For Web Services the Hard Way. SAINT Workshops (2003)
Mark James Carman, Floriano Zini, Luciano Serafini, Kurt Stockinger
Towards an Economy-Based Optimisation of File Access and Replication on a Data Grid. CCGRID (2002)
Marco Aiello, Mike P. Papazoglou, Jian Yang, Mark James Carman, Marco Pistore, Luciano Serafini, Paolo Traverso
A Request Language for Web-Services Based on Planning and Constraint Satisfaction. TES (2002)