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ORCIDMark J. Carman
Mark James Carman
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- affiliation: Monash University, Australia
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2020 – today
- 2024
[c72]Vincenzo Scotti
, Mark James Carman:
LLM Support for Real-Time Technical Assistance. ECML/PKDD (8) 2024: 388-393- 2023
- [j23]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: 15329-15347 (2023) - [c71]Michael Vitali, Vincenzo Scotti, Mark James Carman:
Vitali at ACTI - Transformer-based Conspiracy Theory Identification. EVALITA 2023 - 2022
- [j22]Giuseppe Serna Garcia, Michele Leone, Anna Bernasconi, Mark J. Carman:
GeMI: interactive interface for transformer-based Genomic Metadata Integration. Database J. Biol. Databases Curation 2022(2022) (2022) - [j21]Francisco Cristovao, Silvia Cascianelli, Arif Canakoglu, Mark J. Carman, Luca Nanni, Pietro Pinoli, Marco Masseroli:
Investigating Deep Learning Based Breast Cancer Subtyping Using Pan-Cancer and Multi-Omic Data. IEEE ACM Trans. Comput. Biol. Bioinform. 19(1): 121-134 (2022) - [c70]Stefano Agresti, S. Amin Hashemian, Mark J. Carman:
PoliMi-FlatEarthers at CheckThat!-2022: GPT-3 applied to claim detection. CLEF (Working Notes) 2022: 422-427 - [c69]Seyyed Ali Mir Ghayyomnia, Kai de Gast, Mark J. Carman:
Polimi-ImageClef Group at ImageCLEFmedical Caption task 2022. CLEF (Working Notes) 2022: 1480-1486 - [i15]Loris Giulivi, Mark James Carman, Giacomo Boracchi:
Perception Visualization: Seeing Through the Eyes of a DNN. CoRR abs/2204.09920 (2022) - [i14]Carlo Bono, Mehmet Oguz Mülâyim, Cinzia Cappiello, Mark J. Carman, Jesús Cerquides, Jose Luis Fernandez-Marquez, Rosy Mondardini, Edoardo Ramalli, Barbara Pernici:
Analyzing social media with crowdsourcing in Crowd4SDG. CoRR abs/2208.02689 (2022) - 2021
- [j20]Ye Zhu, Kai Ming Ting, Mark J. Carman, Maia Angelova:
CDF Transform-and-Shift: An effective way to deal with datasets of inhomogeneous cluster densities. Pattern Recognit. 117: 107977 (2021) - [c68]Loris Giulivi, Mark J. Carman, Giacomo Boracchi:
Perception Visualization: Seeing Through The Eyes Of a DNN. BMVC 2021: 105 - [c67]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: 92-101 - [i13]Samuele Pino, Mark James Carman, Paolo Bestagini:
What's wrong with this video? Comparing Explainers for Deepfake Detection. CoRR abs/2105.05902 (2021) - 2020
- [j19]Yuan Jin, Mark J. Carman, Ye Zhu, Yong Xiang:
A technical survey on statistical modelling and design methods for crowdsourcing quality control. Artif. Intell. 287: 103351 (2020) - [j18]Pengfei Li, Mark Sanderson, Mark J. Carman, Falk Scholer:
Self-labeling methods for unsupervised transfer ranking. Inf. Sci. 516: 293-315 (2020) - [c66]Giuseppe Cannizzaro, Michele Leone, Anna Bernasconi, Arif Canakoglu, Mark J. Carman:
Automated Integration of Genomic Metadata with Sequence-to-Sequence Models. ECML/PKDD (5) 2020: 187-203 - [i12]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 abs/2010.03021 (2020)
2010 – 2019
- 2019
- [j17]Kai Ming Ting, Ye Zhu, Mark J. Carman, Yue Zhu, Takashi Washio, Zhi-Hua Zhou:
Lowest probability mass neighbour algorithms: relaxing the metric constraint in distance-based neighbourhood algorithms. Mach. Learn. 108(2): 331-376 (2019) - [c65]Silvia Cascianelli, Francisco Cristovao, Arif Canakoglu, Mark J. Carman, Luca Nanni, Pietro Pinoli, Marco Masseroli:
Evaluating Deep Semi-supervised Learning for Whole-Transcriptome Breast Cancer Subtyping. CIBB 2019: 232-244 - [c64]Luca Favano, Mark J. Carman, Pier Luca Lanzi:
TheEarthIsFlat's Submission to CLEF'19CheckThat! Challenge. CLEF (Working Notes) 2019 - [c63]Rohit Saluja, Ayush Maheshwari, Ganesh Ramakrishnan, Parag Chaudhuri, Mark J. Carman:
OCR On-the-Go: Robust End-to-End Systems for Reading License Plates & Street Signs. ICDAR 2019: 154-159 - [c62]Rohit Saluja, Mayur Punjabi, Mark J. Carman, Ganesh Ramakrishnan, Parag Chaudhuri:
Sub-Word Embeddings for OCR Corrections in Highly Fusional Indic Languages. ICDAR 2019: 160-165 - 2018
- [b1]Aditya Joshi, Pushpak Bhattacharyya, Mark J. Carman:
Investigations in Computational Sarcasm. Cognitive Systems Monographs 37, Springer 2018, ISBN 978-981-10-8395-2, pp. 1-135 - [j16]Janis Dalins, Campbell Wilson, Mark J. Carman:
Criminal motivation on the dark web: A categorisation model for law enforcement. Digit. Investig. 24: 62-71 (2018) - [j15]Janis Dalins, Yuriy Tyshetskiy, Campbell Wilson, Mark J. Carman, Douglas Boudry:
Laying foundations for effective machine learning in law enforcement. Majura - A labelling schema for child exploitation materials. Digit. Investig. 26: 40-54 (2018) - [j14]Ye Zhu, Kai Ming Ting, Mark J. Carman:
Grouping points by shared subspaces for effective subspace clustering. Pattern Recognit. 83: 230-244 (2018) - [c61]Yuan Jin, Mark J. Carman, Ye Zhu, Wray L. Buntine:
Distinguishing Question Subjectivity from Difficulty for Improved Crowdsourcing. ACML 2018: 192-207 - [c60]Aditya Joshi, Pranav Goel, Pushpak Bhattacharyya, Mark J. Carman:
Sarcasm Target Identification: Dataset and An Introductory Approach. LREC 2018 - [c59]Yuan Jin, Lan Du, Ye Zhu, Mark J. Carman:
Leveraging Label Category Relationships in Multi-class Crowdsourcing. PAKDD (2) 2018: 128-140 - [c58]Mark J. Carman, Mark Koerber, Jiuyong Li, Kim-Kwang Raymond Choo, Helen Ashman:
Manipulating Visibility of Political and Apolitical Threads on Reddit via Score Boosting. TrustCom/BigDataSE 2018: 184-190 - [c57]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: 419-428 - [i11]Yuan Jin, Mark James Carman, Ye Zhu, Wray L. Buntine:
Distinguishing Question Subjectivity from Difficulty for Improved Crowdsourcing. CoRR abs/1802.04009 (2018) - [i10]Ye Zhu, Kai Ming Ting, Mark J. Carman, Maia Angelova:
CDF Transform-Shift: An effective way to deal with inhomogeneous density datasets. CoRR abs/1810.02897 (2018) - [i9]Yuan Jin, Mark J. Carman, Ye Zhu, Yong Xiang:
A Technical Survey on Statistical Modelling and Design Methods for Crowdsourcing Quality Control. CoRR abs/1812.02736 (2018) - 2017
- [j13]Zahraa Said Abdallah, Mark James Carman, Gholamreza Haffari:
Multi-domain evaluation framework for named entity recognition tools. Comput. Speech Lang. 43: 34-55 (2017) - [j12]Aditya Joshi, Pushpak Bhattacharyya, Mark James Carman:
Automatic Sarcasm Detection: A Survey. ACM Comput. Surv. 50(5): 73:1-73:22 (2017) - [j11]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): 1289-1329 (2017) - [c56]Aditya Joshi, Diptesh Kanojia, Pushpak Bhattacharyya, Mark James Carman:
Sarcasm Suite: A Browser-Based Engine for Sarcasm Detection and Generation. AAAI 2017: 5095-5096 - [c55]Wern Han Lim, Mark James Carman:
Annotator Expertise and Information Quality in Annotation-based Retrieval. ADCS 2017: 7:1-7:8 - [c54]Yiwei Wang, Mark James Carman, Yuan-Fang Li:
Using Knowledge Graphs to Explain Entity Co-occurrence in Twitter. CIKM 2017: 2351-2354 - [c53]Gholamreza Haffari, Tuan Dung Tran, Mark James Carman:
Efficient Benchmarking of NLP APIs using Multi-armed Bandits. EACL (1) 2017: 408-416 - [c52]Yuan Jin, Mark James Carman, Dongwoo Kim, Lexing Xie:
Leveraging Side Information to Improve Label Quality Control in Crowd-Sourcing. HCOMP 2017: 79-88 - [c51]Wern Han Lim, Mark James Carman, Sze-Meng Jojo Wong:
Estimating Relative User Expertise for Content Quality Prediction on Reddit. HT 2017: 55-64 - [c50]Rohit Saluja, Devaraj Adiga, Parag Chaudhuri, Ganesh Ramakrishnan, Mark James Carman:
Error Detection and Corrections in Indic OCR Using LSTMs. ICDAR 2017: 17-22 - [c49]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: 25-30 - [c48]Aditya Joshi, Samarth Agrawal, Pushpak Bhattacharyya, Mark James Carman:
Expect the Unexpected: Harnessing Sentence Completion for Sarcasm Detection. PACLING 2017: 275-287 - [e2]Bevan Koopman, Guido Zuccon, Mark James Carman:
Proceedings of the 22nd Australasian Document Computing Symposium, ADCS 2017, Brisbane, QLD, Australia, December 7-8, 2017. ACM 2017, ISBN 978-1-4503-6391-4 [contents] - [i8]Aditya Joshi, Samarth Agrawal, Pushpak Bhattacharyya, Mark James Carman:
Expect the unexpected: Harnessing Sentence Completion for Sarcasm Detection. CoRR abs/1707.06151 (2017) - [i7]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 abs/1711.01679 (2017) - 2016
- [j10]Nayyar Abbas Zaidi, Geoffrey I. Webb, Mark James Carman, François Petitjean, Jesús Cerquides:
ALRn: accelerated higher-order logistic regression. Mach. Learn. 104(2-3): 151-194 (2016) - [j9]Ye Zhu, Kai Ming Ting, Mark James Carman:
Density-ratio based clustering for discovering clusters with varying densities. Pattern Recognit. 60: 983-997 (2016) - [j8]Muhammad Ibrahim, Mark James Carman:
Comparing Pointwise and Listwise Objective Functions for Random-Forest-Based Learning-to-Rank. ACM Trans. Inf. Syst. 34(4): 20:1-20:38 (2016) - [c47]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 - [c46]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: 123-127 - [c45]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: 33-40 - [c44]Ramakrishna B. Bairi, Mark James Carman, Ganesh Ramakrishnan:
Beyond Clustering: Sub-DAG Discovery for Categorising Documents. CIKM 2016: 801-810 - [c43]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: 1413-1422 - [c42]Aditya Joshi, Vaibhav Tripathi, Pushpak Bhattacharyya, Mark James Carman:
Harnessing Sequence Labeling for Sarcasm Detection in Dialogue from TV Series 'Friends'. CoNLL 2016: 146-155 - [c41]Aditya Joshi, Vaibhav Tripathi, Kevin Patel, Pushpak Bhattacharyya, Mark James Carman:
Are Word Embedding-based Features Useful for Sarcasm Detection? EMNLP 2016: 1006-1011 - [c40]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: 1205-1214 - [c39]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 - [c38]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 - [c37]Mark J. Carman, Kim-Kwang Raymond Choo:
Tinder Me Softly - How Safe Are You Really on Tinder? SecureComm 2016: 271-286 - [c36]Yuan Jin, Mark James Carman, Lexing Xie:
A Little Competition Never Hurt Anyone's Relevance Assessments. GamifIR@SIGIR 2016: 29-36 - [c35]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: 82-90 - [e1]Sarvnaz Karimi, Mark James Carman:
Proceedings of the 21st Australasian Document Computing Symposium, ADCS 2016, Caulfield, VIC, Australia, December 5-7, 2016. ACM 2016, ISBN 978-1-4503-4865-2 [contents] - [i6]Aditya Joshi, Pushpak Bhattacharyya, Mark James Carman:
Automatic Sarcasm Detection: A Survey. CoRR abs/1602.03426 (2016) - [i5]Aditya Joshi, Abhijit Mishra, Balamurali A. R., Pushpak Bhattacharyya, Mark James Carman:
A Computational Approach to Automatic Prediction of Drunk Texting. CoRR abs/1610.00879 (2016) - [i4]Aditya Joshi, Vaibhav Tripathi, Kevin Patel, Pushpak Bhattacharyya, Mark James Carman:
Are Word Embedding-based Features Useful for Sarcasm Detection? CoRR abs/1610.00883 (2016) - [i3]Aditya Joshi, Pranav Goel, Pushpak Bhattacharyya, Mark James Carman:
Automatic Identification of Sarcasm Target: An Introductory Approach. CoRR abs/1610.07091 (2016) - [i2]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 abs/1611.04326 (2016) - 2015
- [j7]Janis Dalins, Campbell Wilson, Mark James Carman:
Monte-Carlo Filesystem Search - A crawl strategy for digital forensics. Digit. Investig. 13: 58-71 (2015) - [c34]Aditya Joshi, Abhijit Mishra, Balamurali A. R., Pushpak Bhattacharyya, Mark James Carman:
A Computational Approach to Automatic Prediction of Drunk-Texting. ACL (2) 2015: 604-608 - [c33]Diptesh Kanojia, Aditya Joshi, Pushpak Bhattacharyya, Mark James Carman:
Using Multilingual Topic Models for Improved Alignment in English-Hindi MT. ICON 2015: 308-315 - [c32]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: 25-30 - [i1]Nayyar Abbas Zaidi, Geoffrey I. Webb, Mark James Carman, François Petitjean:
Deep Broad Learning - Big Models for Big Data. CoRR abs/1509.01346 (2015) - 2014
- [c31]Ilya Markov, Mark James Carman, Fabio Crestani:
Towards Risk-Aware Resource Selection. AIRS 2014: 148-159 - [c30]Muhammad Ibrahim, Mark James Carman:
Undersampling Techniques to Re-balance Training Data for Large Scale Learning-to-Rank. AIRS 2014: 444-457 - [c29]Muhammad Ibrahim, Mark J. Carman:
Improving Scalability and Performance of Random Forest Based Learning-to-Rank Algorithms by Aggressive Subsampling. AusDM 2014: 91-99 - [c28]Nayyar Abbas Zaidi, Mark James Carman, Jesús Cerquides, Geoffrey I. Webb:
Naive-Bayes Inspired Effective Pre-Conditioner for Speeding-Up Logistic Regression. ICDM 2014: 1097-1102 - 2013
- [j6]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): 1947-1988 (2013) - [c27]Morgan Harvey, Fabio Crestani, Mark James Carman:
Building user profiles from topic models for personalised search. CIKM 2013: 2309-2314 - 2012
- [j5]Mostafa Keikha, Fabio Crestani, Mark James Carman:
Employing document dependency in blog search. J. Assoc. Inf. Sci. Technol. 63(2): 354-365 (2012) - [j4]Shima Gerani, Mark James Carman, Fabio Crestani:
Aggregation Methods for Proximity-Based Opinion Retrieval. ACM Trans. Inf. Syst. 30(4): 26:1-26:36 (2012) - [c26]Morgan Harvey, Mark James Carman, David Elsweiler:
Comparing Tweets and Tags for URLs. ECIR 2012: 73-84 - 2011
- [j3]Mark Baillie, Mark James Carman, Fabio Crestani:
A multi-collection latent topic model for federated search. Inf. Retr. 14(4): 390-412 (2011) - [c25]Morgan Harvey, Mark James Carman, Ian Ruthven, Fabio Crestani:
Bayesian latent variable models for collaborative item rating prediction. CIKM 2011: 699-708 - [c24]Shima Gerani, Mostafa Keikha, Mark James Carman, Fabio Crestani:
Personal Blog Retrieval Using Opinion Features. ECIR 2011: 747-750 - [c23]Giacomo Inches, Mark James Carman, Fabio Crestani:
Investigating the Statistical Properties of User-Generated Documents. FQAS 2011: 198-209 - [c22]Morgan Harvey, Ian Ruthven, Mark James Carman:
Improving social bookmark search using personalised latent variable language models. WSDM 2011: 485-494 - 2010
- [c21]Morgan Harvey, Ian Ruthven, Mark James Carman:
Ranking social bookmarks using topic models. CIKM 2010: 1401-1404 - [c20]Mark James Carman, Fabio Crestani, Morgan Harvey, Mark Baillie:
Towards query log based personalization using topic models. CIKM 2010: 1849-1852 - [c19]Morgan Harvey, Mark Baillie, Ian Ruthven, Mark James Carman:
Tripartite Hidden Topic Models for Personalised Tag Suggestion. ECIR 2010: 432-443 - [c18]Giacomo Inches, Mark James Carman, Fabio Crestani:
Statistics of Online User-Generated Short Documents. ECIR 2010: 649-652 - [c17]Shima Gerani, Mark James Carman, Fabio Crestani:
Proximity-based opinion retrieval. SIGIR 2010: 403-410 - [c16]Mostafa Keikha, Parvaz Mahdabi, Shima Gerani, Giacomo Inches, Javier Parapar, Mark James Carman, Fabio Crestani:
University of Lugano at TREC 2010. TREC 2010
2000 – 2009
- 2009
- [c15]Shima Gerani, Mark James Carman, Fabio Crestani:
Investigating Learning Approaches for Blog Post Opinion Retrieval. ECIR 2009: 313-324 - [c14]Mark Baillie, Mark James Carman, Fabio Crestani:
A Topic-Based Measure of Resource Description Quality for Distributed Information Retrieval. ECIR 2009: 485-496 - [c13]Mark James Carman, Mark Baillie, Robert Gwadera, Fabio Crestani:
A statistical comparison of tag and query logs. SIGIR 2009: 123-130 - [c12]Mostafa Keikha, Mark James Carman, Fabio Crestani:
Blog distillation using random walks. SIGIR 2009: 638-639 - [c11]Cédric S. Mesnage, Mark J. Carman:
Tag navigation. SoSEA@ESEC/FSE 2009: 29-32 - [c10]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 - 2008
- [j2]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): 33-39 (2008) - [c9]Mark James Carman, Mark Baillie, Fabio Crestani:
Tag data and personalized information retrieval. SSM 2008: 27-34 - [c8]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: 771-779 - [c7]Mark James Carman, Fabio Crestani:
Towards personalized distributed information retrieval. SIGIR 2008: 719-720 - [c6]Shima Gerani, Mostafa Keikha, Mark James Carman, Robert Gwadera, Davide Taibi, Fabio Crestani:
University of Lugano at TREC 2008 Blog Track. TREC 2008 - 2007
- [j1]Mark James Carman, Craig A. Knoblock:
Learning Semantic Definitions of Online Information Sources. J. Artif. Intell. Res. 30: 1-50 (2007) - [c5]Mark James Carman, Craig A. Knoblock:
Learning Semantic Descriptions of Web Information Sources. IJCAI 2007: 2695-2700 - 2005
- [c4]Mark James Carman:
Learning Source Descriptions for Web Services. AAAI 2005: 1640-1641 - 2003
- [c3]Mark James Carman, Luciano Serafini:
Planning For Web Services the Hard Way. SAINT Workshops 2003: 73-77 - 2002
- [c2]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: 340-345 - [c1]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: 76-85
Coauthor Index
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