Mark J. Carman

Publication Activity (10 Years)

Years Active: 2009-2022
Publications (10 Years): 25

Top Topics

Subspace Clustering

Law Enforcement

Top Venues

CLEF (Working Notes)

Pattern Recognit.

Publications

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)
Seyyed Ali Mir Ghayyomnia, Kai de Gast, Mark J. Carman
Polimi-ImageClef Group at ImageCLEFmedical Caption task 2022. CLEF (Working Notes) (2022)
Stefano Agresti, S. Amin Hashemian, Mark J. Carman
PoliMi-FlatEarthers at CheckThat!-2022: GPT-3 applied to claim detection. CLEF (Working Notes) (2022)
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) (2022)
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 (2022)
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 (2021)
Loris Giulivi, Mark J. Carman, Giacomo Boracchi
Perception Visualization: Seeing Through The Eyes Of a DNN. BMVC (2021)
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)
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 (2020)
Pengfei Li, Mark Sanderson, Mark J. Carman, Falk Scholer
Self-labeling methods for unsupervised transfer ranking. Inf. Sci. 516 (2020)
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) (2019)
Rohit Saluja, Mayur Punjabi, Mark J. Carman, Ganesh Ramakrishnan, Parag Chaudhuri
Sub-Word Embeddings for OCR Corrections in Highly Fusional Indic Languages. ICDAR (2019)
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)
Luca Favano, Mark J. Carman, Pier Luca Lanzi
TheEarthIsFlat's Submission to CLEF'19CheckThat! Challenge. CLEF (Working Notes) (2019)
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)
Yuan Jin, Mark J. Carman, Ye Zhu, Yong Xiang
A Technical Survey on Statistical Modelling and Design Methods for Crowdsourcing Quality Control. CoRR (2018)
Aditya Joshi, Pranav Goel, Pushpak Bhattacharyya, Mark J. Carman
Sarcasm Target Identification: Dataset and An Introductory Approach. LREC (2018)
Janis Dalins, Campbell Wilson, Mark J. Carman
Criminal motivation on the dark web: A categorisation model for law enforcement. Digit. Investig. 24 (2018)
Ye Zhu, Kai Ming Ting, Mark J. Carman, Maia Angelova
CDF Transform-Shift: An effective way to deal with inhomogeneous density datasets. CoRR (2018)
Yuan Jin, Mark J. Carman, Ye Zhu, Wray L. Buntine
Distinguishing Question Subjectivity from Difficulty for Improved Crowdsourcing. ACML (2018)
Yuan Jin, Lan Du, Ye Zhu, Mark J. Carman
Leveraging Label Category Relationships in Multi-class Crowdsourcing. PAKDD (2) (2018)
Ye Zhu, Kai Ming Ting, Mark J. Carman
Grouping points by shared subspaces for effective subspace clustering. Pattern Recognit. 83 (2018)
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)
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 (2018)
Mark J. Carman, Kim-Kwang Raymond Choo
Tinder Me Softly - How Safe Are You Really on Tinder? SecureComm (2016)
Muhammad Ibrahim, Mark J. Carman
Improving Scalability and Performance of Random Forest Based Learning-to-Rank Algorithms by Aggressive Subsampling. AusDM (2014)
Cédric S. Mesnage, Mark J. Carman
Tag navigation. SoSEA@ESEC/FSE (2009)