Aleksandra Mojsilovic

108 papers A* 5A 3B 5C 2Misc 1Journal 54Unranked 36
YearRankTypeTitle / Venue / Authors
2024 J jnl
Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations.
CoRR
Swapnaja Achintalwar, Ioana Baldini, Djallel Bouneffouf, Joan Byamugisha, Maria Chang, Pierre L. Dognin, Eitan Farchi, Ndivhuwo Makondo, Aleksandra Mojsilovic, Manish Nagireddy, Karthikeyan Natesan Ramamurthy, Inkit Padhi, Orna Raz, Jesus Rios, Prasanna Sattigeri, Moninder Singh, Siphiwe Thwala, Rosario A. Uceda-Sosa, Kush R. Varshney
2024 J jnl
Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations.
IEEE Internet Comput.
Swapnaja Achintalwar, Ioana Baldini, Djallel Bouneffouf, Joan Byamugisha, Maria Chang, Pierre L. Dognin, Eitan Farchi, Ndivhuwo Makondo, Aleksandra Mojsilovic, Manish Nagireddy, Karthikeyan Natesan Ramamurthy, Inkit Padhi, Orna Raz, Jesus Rios, Prasanna Sattigeri, Moninder Singh, Siphiwe Thwala, Rosario A. Uceda-Sosa, Kush R. Varshney
2024 J jnl
Auditing and Generating Synthetic Data With Controllable Trust Trade-Offs.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Brian Belgodere, Pierre L. Dognin, Adam Ivankay, Igor Melnyk, Youssef Mroueh, Aleksandra Mojsilovic, Jirí Navrátil, Apoorva Nitsure, Inkit Padhi, Mattia Rigotti, Jerret Ross, Yair Schiff, Radhika Vedpathak, Richard A. Young
2023 J jnl
Auditing and Generating Synthetic Data with Controllable Trust Trade-offs.
CoRR
Brian Belgodere, Pierre L. Dognin, Adam Ivankay, Igor Melnyk, Youssef Mroueh, Aleksandra Mojsilovic, Jirí Navrátil, Apoorva Nitsure, Inkit Padhi, Mattia Rigotti, Jerret Ross, Yair Schiff, Radhika Vedpathak, Richard A. Young
2022 A* conf
AI Explainability 360: Impact and Design.
AAAI
Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang
2022 J jnl
Accelerating Inhibitor Discovery for Multiple SARS-CoV-2 Targets with a Single, Sequence-Guided Deep Generative Framework.
CoRR
Vijil Chenthamarakshan, Samuel C. Hoffman, C. David Owen, Petra Lukacik, Claire Strain-Damerell, Daren Fearon, Tika R. Malla, Anthony Tumber, Christopher J. Schofield, Helen M. E. Duyvesteyn, Wanwisa Dejnirattisai, Loic Carrique, Thomas S. Walter, Gavin R. Screaton, Tetiana Matviiuk, Aleksandra Mojsilovic, Jason Crain, Martin A. Walsh, David I. Stuart, Payel Das
2021 J jnl
A Human-Centered Methodology for Creating AI FactSheets.
IEEE Data Eng. Bull.
John T. Richards, David Piorkowski, Michael Hind, Stephanie Houde, Aleksandra Mojsilovic, Kush R. Varshney
2021 — conf
AI Explainability 360 Toolkit.
COMAD/CODS
Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang
2021 J jnl
AI Explainability 360: Impact and Design.
CoRR
Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang
2020 J jnl
A Methodology for Creating AI FactSheets.
CoRR
John T. Richards, David Piorkowski, Michael Hind, Stephanie Houde, Aleksandra Mojsilovic
2020 J jnl
AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models.
J. Mach. Learn. Res.
Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang
2020 — conf
AI explainability 360: hands-on tutorial.
FAT*
Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang
2020 J jnl
Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics.
CoRR
Payel Das, Tom Sercu, Kahini Wadhawan, Inkit Padhi, Sebastian Gehrmann, Flaviu S. Cipcigan, Vijil Chenthamarakshan, Hendrik Strobelt, Cícero Nogueira dos Santos, Pin-Yu Chen, Yi Yan Yang, Jeremy Tan, James Hedrick, Jason Crain, Aleksandra Mojsilovic
2020 A* conf
CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models.
NeurIPS
Vijil Chenthamarakshan, Payel Das, Samuel C. Hoffman, Hendrik Strobelt, Inkit Padhi, Kar Wai Lim, Benjamin Hoover, Matteo Manica, Jannis Born, Teodoro Laino, Aleksandra Mojsilovic
2020 — conf
Experiences with Improving the Transparency of AI Models and Services.
CHI Extended Abstracts
Michael Hind, Stephanie Houde, Jacquelyn Martino, Aleksandra Mojsilovic, David Piorkowski, John T. Richards, Kush R. Varshney
2020 J jnl
Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models.
CoRR
Vijil Chenthamarakshan, Payel Das, Inkit Padhi, Hendrik Strobelt, Kar Wai Lim, Benjamin Hoover, Samuel C. Hoffman, Aleksandra Mojsilovic
2020 J jnl
Trust and Transparency in Contact Tracing Applications.
CoRR
Stacy Hobson, Michael Hind, Aleksandra Mojsilovic, Kush R. Varshney
2019 J jnl
AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias.
IBM J. Res. Dev.
Rachel K. E. Bellamy, Kuntal Dey, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Kalapriya Kannan, Pranay Lohia, Jacquelyn Martino, Sameep Mehta, Aleksandra Mojsilovic, Seema Nagar, Karthikeyan Natesan Ramamurthy, John T. Richards, Diptikalyan Saha, Prasanna Sattigeri, Moninder Singh, Kush R. Varshney, Yunfeng Zhang
2019 J jnl
Experiences with Improving the Transparency of AI Models and Services.
CoRR
Michael Hind, Stephanie Houde, Jacquelyn Martino, Aleksandra Mojsilovic, David Piorkowski, John T. Richards, Kush R. Varshney
2019 J jnl
FactSheets: Increasing trust in AI services through supplier's declarations of conformity.
IBM J. Res. Dev.
Matthew Arnold, Rachel K. E. Bellamy, Michael Hind, Stephanie Houde, Sameep Mehta, Aleksandra Mojsilovic, Ravi Nair, Karthikeyan Natesan Ramamurthy, Alexandra Olteanu, David Piorkowski, Darrell Reimer, John T. Richards, Jason Tsay, Kush R. Varshney
2019 J jnl
How Data Scientists Work Together With Domain Experts in Scientific Collaborations: To Find The Right Answer Or To Ask The Right Question?
CoRR
Yaoli Mao, Dakuo Wang, Michael J. Muller, Kush R. Varshney, Ioana Baldini, Casey Dugan, Aleksandra Mojsilovic
2019 J jnl
How Data ScientistsWork Together With Domain Experts in Scientific Collaborations: To Find The Right Answer Or To Ask The Right Question?
Proc. ACM Hum. Comput. Interact.
Yaoli Mao, Dakuo Wang, Michael J. Muller, Kush R. Varshney, Ioana Baldini, Casey Dugan, Aleksandra Mojsilovic
2019 J jnl
One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques.
CoRR
Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang
2019 J jnl
Open Platforms for Artificial Intelligence for Social Good: Common Patterns as a Pathway to True Impact.
CoRR
Kush R. Varshney, Aleksandra Mojsilovic
2019 C conf
TED: Teaching AI to Explain its Decisions.
AIES
Michael Hind, Dennis Wei, Murray Campbell, Noel C. F. Codella, Amit Dhurandhar, Aleksandra Mojsilovic, Karthikeyan Natesan Ramamurthy, Kush R. Varshney
2019 J jnl
Teaching AI to Explain its Decisions Using Embeddings and Multi-Task Learning.
CoRR
Noel C. F. Codella, Michael Hind, Karthikeyan Natesan Ramamurthy, Murray Campbell, Amit Dhurandhar, Kush R. Varshney, Dennis Wei, Aleksandra Mojsilovic
2019 J jnl
Think Your Artificial Intelligence Software Is Fair? Think Again.
IEEE Softw.
Rachel K. E. Bellamy, Kuntal Dey, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Kalapriya Kannan, Pranay Lohia, Sameep Mehta, Aleksandra Mojsilovic, Seema Nagar, Karthikeyan Natesan Ramamurthy, John T. Richards, Diptikalyan Saha, Prasanna Sattigeri, Moninder Singh, Kush R. Varshney, Yunfeng Zhang
2018 J jnl
AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias.
CoRR
Rachel K. E. Bellamy, Kuntal Dey, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Kalapriya Kannan, Pranay Lohia, Jacquelyn Martino, Sameep Mehta, Aleksandra Mojsilovic, Seema Nagar, Karthikeyan Natesan Ramamurthy, John T. Richards, Diptikalyan Saha, Prasanna Sattigeri, Moninder Singh, Kush R. Varshney, Yunfeng Zhang
2018 J jnl
Increasing Trust in AI Services through Supplier's Declarations of Conformity.
CoRR
Michael Hind, Sameep Mehta, Aleksandra Mojsilovic, Ravi Nair, Karthikeyan Natesan Ramamurthy, Alexandra Olteanu, Kush R. Varshney
2018 — ch.
Legislative Prediction with Political and Social Network Analysis.
Encyclopedia of Social Network Analysis and Mining. 2nd Ed.
Jun Wang, Kush R. Varshney, Aleksandra Mojsilovic
2018 J jnl
PepCVAE: Semi-Supervised Targeted Design of Antimicrobial Peptide Sequences.
CoRR
Payel Das, Kahini Wadhawan, Oscar Chang, Tom Sercu, Cícero Nogueira dos Santos, Matthew Riemer, Inkit Padhi, Vijil Chenthamarakshan, Aleksandra Mojsilovic
2018 A* conf
Semantic Representation of Data Science Programs.
IJCAI
Evan Patterson, Ioana Baldini, Aleksandra Mojsilovic, Kush R. Varshney
2018 J jnl
TED: Teaching AI to Explain its Decisions.
CoRR
Noel C. F. Codella, Michael Hind, Karthikeyan Natesan Ramamurthy, Murray Campbell, Amit Dhurandhar, Kush R. Varshney, Dennis Wei, Aleksandra Mojsilovic
2018 J jnl
Teaching Meaningful Explanations.
CoRR
Noel C. F. Codella, Michael Hind, Karthikeyan Natesan Ramamurthy, Murray Campbell, Amit Dhurandhar, Kush R. Varshney, Dennis Wei, Aleksandra Mojsilovic
2018 J jnl
Teaching machines to understand data science code by semantic enrichment of dataflow graphs.
CoRR
Evan Patterson, Ioana Baldini, Aleksandra Mojsilovic, Kush R. Varshney
2018 J jnl
Understanding Unequal Gender Classification Accuracy from Face Images.
CoRR
Vidya Muthukumar, Tejaswini Pedapati, Nalini K. Ratha, Prasanna Sattigeri, Chai-Wah Wu, Brian Kingsbury, Abhishek Kumar, Samuel Thomas, Aleksandra Mojsilovic, Kush R. Varshney
2017 J jnl
Dataflow representation of data analyses: Toward a platform for collaborative data science.
IBM J. Res. Dev.
Evan Patterson, Robert N. McBurney, H. Schmidt, Ioana Baldini, Aleksandra Mojsilovic, Kush R. Varshney
2017 J jnl
Effectiveness of peer detailing in a diarrhea program in Nigeria.
IBM J. Res. Dev.
Yumeng Tao, Debarun Bhattacharjya, Aliza R. Heching, Aditya Vempaty, Moninder Singh, Felix Lam, Jan Houdek, M. Abubakar, Abdulwahab Alharbi, Tiwadayo Braimoh, N. Ihebuzor, Aleksandra Mojsilovic, Kush R. Varshney
2017 J jnl
How to foster innovation: A data-driven approach to measuring economic competitiveness.
IBM J. Res. Dev.
Caitlin Kuhlman, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Aurélie C. Lozano, Lei Cao, C. Reddy, Aleksandra Mojsilovic, Kush R. Varshney
2017 — conf
Machine Representation of Data Analyses: Towards a Platform for Collaborative Data Science.
AAAI Spring Symposia
Evan Patterson, Ioana Baldini, Aleksandra Mojsilovic, Kush R. Varshney
2017 J jnl
Preface: Data Science for Social Good.
IBM J. Res. Dev.
Aleksandra Mojsilovic, Kush R. Varshney
2017 J jnl
Real-time understanding of humanitarian crises via targeted information retrieval.
IBM J. Res. Dev.
Kien Pham, Prasanna Sattigeri, Amit Dhurandhar, Arpith C. Jacob, Maja Vukovic, Patrice Chataigner, Juliana Freire, Aleksandra Mojsilovic, Kush R. Varshney
2017 — conf
Statistical Analysis of Peer Detailing for Children's Diarrhea Treatments.
AAAI Spring Symposia
Yumeng Tao, Debarun Bhattacharjya, Aliza R. Heching, Aditya Vempaty, Moninder Singh, Felix Lam, Kush R. Varshney, Aleksandra Mojsilovic
2017 J jnl
Understanding the ecospace of philanthropic projects.
IBM J. Res. Dev.
H. Lamba, M. E. Helander, Moninder Singh, N. Lethif, Achyutram Bhamidipaty, S. A. Baset, Aleksandra Mojsilovic, Kush R. Varshney
2016 — conf
Stable estimation of Granger-causal factors of country-level innovation.
GlobalSIP
Aurélie C. Lozano, Prasanna Sattigeri, Aleksandra Mojsilovic, Kush R. Varshney
2016 J jnl
Understanding Innovation to Drive Sustainable Development.
CoRR
Prasanna Sattigeri, Aurélie C. Lozano, Aleksandra Mojsilovic, Kush R. Varshney, Mahmoud Naghshineh
2015 A conf
Assessing Expertise in the Enterprise: The Recommender Point of View.
RecSys
Aleksandra Mojsilovic, Kush R. Varshney
2015 J jnl
Data Challenges in Disease Response: The 2014 Ebola Outbreak and Beyond.
ACM J. Data Inf. Qual.
Kush R. Varshney, Dennis Wei, Karthikeyan Natesan Ramamurthy, Aleksandra Mojsilovic
2015 — conf
Toward Comprehensive Attribution of Healthcare Cost Changes.
ICDM Workshops
Dmitriy A. Katz-Rogozhnikov, Dennis Wei, Gigi Y. Yuen-Reed, Karthikeyan Natesan Ramamurthy, Aleksandra Mojsilovic
2014 — ch.
Legislative Prediction with Political and Social Network Analysis.
Encyclopedia of Social Network Analysis and Mining
Jun Wang, Kush R. Varshney, Aleksandra Mojsilovic
2014 — conf
Multiplicative regression via constrained least squares.
SSP
Dennis Wei, Karthikeyan Natesan Ramamurthy, Dmitriy A. Katz-Rogozhnikov, Aleksandra Mojsilovic
2014 A* conf
Predicting employee expertise for talent management in the enterprise.
KDD
Kush R. Varshney, Vijil Chenthamarakshan, Scott W. Fancher, Jun Wang, DongPing Fang, Aleksandra Mojsilovic
2013 — conf
Quantifying and Recommending Expertise When New Skills Emerge.
ICDM Workshops
DongPing Fang, Kush R. Varshney, Jun Wang, Karthikeyan Natesan Ramamurthy, Aleksandra Mojsilovic, John H. Bauer
2012 — conf
An Analytics Approach for Proactively Combating Voluntary Attrition of Employees.
ICDM Workshops
Moninder Singh, Kush R. Varshney, Jun Wang, Aleksandra Mojsilovic, Alisia R. Gill, Patricia I. Faur, Raphael Ezry
2012 C conf
Interactive Visual Salesforce Analytics.
ICIS
Kush R. Varshney, Jamie C. Rasmussen, Aleksandra Mojsilovic, Moninder Singh, Joan Morris DiMicco
2012 A conf
Legislative Prediction via Random Walks over a Heterogeneous Graph.
SDM
Jun Wang, Kush R. Varshney, Aleksandra Mojsilovic
2012 J jnl
Sales-force performance analytics and optimization.
IBM J. Res. Dev.
Moritz Baier, Jorge E. Carballo, Alice J. Chang, Yingdong Lu, Aleksandra Mojsilovic, M. Jonathan Richard, Moninder Singh, Mark S. Squillante, Kush R. Varshney
2011 J jnl
Business Analytics Based on Financial Time Series.
IEEE Signal Process. Mag.
Kush R. Varshney, Aleksandra Mojsilovic
2011 — conf
Estimating Post-Event Seller Productivity Profiles in Dynamic Sales Organizations.
ICDM Workshops
Kush R. Varshney, Moninder Singh, Mayank Sharma, Aleksandra Mojsilovic
2011 Misc conf
MCMC inference of the shape and variability of time-response signals.
ICASSP
Dmitriy A. Katz-Rogozhnikov, Kush R. Varshney, Aleksandra Mojsilovic, Moninder Singh
2011 J jnl
OnTheMark: Integrated Stochastic Resource Planning of Human Capital Supply Chains.
Interfaces
Heng Cao, Jianying Hu, Chen Jiang, Tarun Kumar, Ta-Hsin Li, Yang Liu, Yingdong Lu, Shilpa Mahatma, Aleksandra Mojsilovic, Mayank Sharma, Mark S. Squillante, Yichong Yu
2010 A* conf
One-Class Matrix Completion with Low-Density Factorizations.
ICDM
Vikas Sindhwani, Serhat Selcuk Bucak, Jianying Hu, Aleksandra Mojsilovic
2010 J jnl
Performance management of IT services delivery.
SIGMETRICS Perform. Evaluation Rev.
Jianying Hu, Yingdong Lu, Aleksandra Mojsilovic, Mayank Sharma, Mark S. Squillante
2009 — conf
A framework for combined bayesian analysis and optimization for services delivery.
SOLI
Afsaneh Shirazi, Jianying Hu, Moninder Singh, Mark S. Squillante, Aleksandra Mojsilovic
2009 J jnl
Leveraging social networks for corporate staffing and expert recommendation.
IBM J. Res. Dev.
Vijil Chenthamarakshan, Kuntal Dey, Jianying Hu, Aleksandra Mojsilovic, W. Riddle, Vikas Sindhwani
2008 B conf
Categorization using semi-supervised clustering.
ICPR
Jianying Hu, Moninder Singh, Aleksandra Mojsilovic
2008 — conf
Regularized Co-Clustering with Dual Supervision.
NIPS
Vikas Sindhwani, Jianying Hu, Aleksandra Mojsilovic
2007 J jnl
A logistic regression framework for information technology outsourcing lifecycle management.
Comput. Oper. Res.
Aleksandra Mojsilovic, Bonnie Ray, Richard Lawrence, Samer Takriti
2007 J jnl
High-utility pattern mining: A method for discovery of high-utility item sets.
Pattern Recognit.
Jianying Hu, Aleksandra Mojsilovic
2007 — conf
Perceptual Indexing of Multivariate Time Series.
ICASSP (2)
Aleksandra Mojsilovic
2006 — conf
Offering Pattern Mining Using High Yield Partition Trees.
ICASSP (5)
Jianying Hu, Aleksandra Mojsilovic
2005 J jnl
A computational model for color naming and describing color composition of images.
IEEE Trans. Image Process.
Aleksandra Mojsilovic
2005 — conf
A logistic regression model for small sample classification problems with hidden variables and non-linear relationships: an application in business analytics.
ICASSP (5)
Aleksandra Mojsilovic
2005 J jnl
Adaptive Perceptual Color-Texture Image Segmentation.
IEEE Trans. Image Process.
Junqing Chen, Thrasyvoulos N. Pappas, Aleksandra Mojsilovic, Bernice E. Rogowitz
2004 B conf
Perceptually-tuned multiscale color-texture segmentation.
ICIP
Junqing Chen, Thrasyvoulos N. Pappas, Aleksandra Mojsilovic, Bernice E. Rogowitz
2004 J jnl
Semantic metric for image library exploration.
IEEE Trans. Multim.
Aleksandra Mojsilovic, Bernice E. Rogowitz
2004 J jnl
Semantic-Friendly Indexing and Quering of Images Based on the Extraction of the Objective Semantic Cues.
Int. J. Comput. Vis.
Aleksandra Mojsilovic, José Gomes, Bernice E. Rogowitz
2003 — conf
Color image semantics for digital libraries.
Human Vision and Electronic Imaging
Aleksandra Mojsilovic, Bernice E. Rogowitz
2003 — conf
Image segmentation by spatially adaptive color and texture features.
ICIP (1)
Junqing Chen, Thrasyvoulos N. Pappas, Aleksandra Mojsilovic, Bernice E. Rogowitz
2003 — conf
Perceptual color and spatial texture features for segmentation.
Human Vision and Electronic Imaging
Junqing Chen, Thrasyvoulos N. Pappas, Aleksandra Mojsilovic, Bernice E. Rogowitz
2002 — conf
A Variational Approach to Recovering a Manifold from Sample Points.
ECCV (2)
José Gomes, Aleksandra Mojsilovic
2002 — conf
A method for color naming and description of color composition in images.
ICIP (2)
Aleksandra Mojsilovic
2002 — conf
Adaptive image segmentation based on color and texture.
ICIP (3)
Junqing Chen, Thrasyvoulos N. Pappas, Aleksandra Mojsilovic, Bernice E. Rogowitz
2002 J jnl
Extraction of perceptually important colors and similarity measurement for image matching, retrieval and analysis.
IEEE Trans. Image Process.
Aleksandra Mojsilovic, Jianying Hu, Emina Soljanin
2002 — conf
ISee: perceptual features for image library navigation.
Human Vision and Electronic Imaging
Aleksandra Mojsilovic, José Gomes, Bernice E. Rogowitz
2002 — conf
Semantic based categorization, browsing and retrieval in medical image databases.
ICIP (3)
José Gomes, Aleksandra Mojsilovic
2001 — conf
Capturing image semantics with low-level descriptors.
ICIP (1)
Aleksandra Mojsilovic, Bernice E. Rogowitz
2001 J jnl
Color quantization and processing by Fibonacci lattices.
IEEE Trans. Image Process.
Aleksandra Mojsilovic, Emina Soljanin
2001 — conf
Psychophysical approach to modeling image semantics.
Human Vision and Electronic Imaging
Aleksandra Mojsilovic, Bernice E. Rogowitz
2000 A conf
A Method for Color Content Matching of Images.
IEEE International Conference on Multimedia and Expo (II)
Aleksandra Mojsilovic, Jianying Hu
2000 B conf
Extraction of Perceptually Important Colors and Similarity Measurement for Image Matching.
ICIP
Aleksandra Mojsilovic, Jianying Hu
2000 J jnl
Matching and retrieval based on the vocabulary and grammar of color patterns.
IEEE Trans. Image Process.
Aleksandra Mojsilovic, Jelena Kovacevic, Jianying Hu, Robert J. Safranek, S. Kicha Ganapathy
2000 J jnl
On the selection of an optimal wavelet basis for texture characterization.
IEEE Trans. Image Process.
Aleksandra Mojsilovic, Miodrag V. Popovic, Dejan M. Rackov
2000 B conf
Optimal Color Composition Matching of Images.
ICPR
Jianying Hu, Aleksandra Mojsilovic
2000 — conf
Quantization of color spaces and processing of color images by fibonacci lattices.
Human Vision and Electronic Imaging
Aleksandra Mojsilovic, Emina Soljanin
2000 J jnl
The vocabulary and grammar of color patterns.
IEEE Trans. Image Process.
Aleksandra Mojsilovic, Jelena Kovacevic, Darren Kall, Robert J. Safranek, S. Kicha Ganapathy
1999 — conf
Matching and Retrieval Based on the Vocabulary and Grammar of Color Patterns.
ICMCS, Vol. 1
Aleksandra Mojsilovic, Jelena Kovacevic, Jian Hu, Robert J. Safranek, S. Kicha Ganapathy
1999 — conf
Perceptually Based Color Texture Features and Metrics for Image Retrieval.
ICIP (3)
Aleksandra Mojsilovic, Jianying Hu, Robert J. Safranek
1999 — conf
Retrieval of color patterns based on perceptual dimensions of texture and human similiarity rules.
Human Vision and Electronic Imaging
Aleksandra Mojsilovic, Jelena Kovacevic, Jianying Hu, Robert J. Safranek, S. Kicha Ganapathy
1999 — conf
Wavelet Domain Features for Texture Description, Classification and Replicability Analysis.
ICIP (4)
Laurent Balmelli, Aleksandra Mojsilovic
1998 J jnl
Characterization of Visually Similar Diffuse Disease from B-scan Liver Images Using Nonseparable Wavelet Transform.
IEEE Trans. Medical Imaging
Aleksandra Mojsilovic, Miodrag V. Popovic, Srdjan Markovic, Miodrag Krstic
1998 — conf
Hexagonal wavelet decomposition for texture characterization.
EUSIPCO
Aleksandra Mojsilovic, Srdjan Markovic, Miodrag V. Popovic
1998 — conf
On the Selection of an Optimal Wavelet Basis for Texture Characterization.
ICIP (3)
Aleksandra Mojsilovic, Dejan M. Rackov, Miodrag V. Popovic
1997 — conf
Characterization of visually similar diffuse diseases from B-scan liver images with the nonseparable wavelet transform.
ICIP (3)
Aleksandra Mojsilovic, Srdjan Markovic, Miodrag V. Popovic
1997 — conf
Texture Analysis and Classification with the Nonseparable Wavelet Transform.
ICIP (3)
Aleksandra Mojsilovic, Srdjan Markovic, Miodrag V. Popovic
1997 J jnl
Wavelet image extension for analysis and classification of infarcted myocardial tissue.
IEEE Trans. Biomed. Eng.
Aleksandra Mojsilovic, Miodrag V. Popovic, Aleksandar N. Neskovic, Aleksandar D. Popovic
1996 — conf
Classification of the ultrasound liver images with the 2N×1-D wavelet transform.
ICIP (1)
Aleksandra Mojsilovic, Miodrag V. Popovic, Dragutin Sevic
1995 B conf
Analysis and characterization of myocardial tissue with the wavelet image extension [US images].
ICIP
Aleksandra Mojsilovic, Miodrag V. Popovic, Aleksandar D. Popovic, Aleksandar N. Neskovic, V. Obradovic