Aleksandra Mojsilovic

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 43

Top Venues

CoRR

IBM J. Res. Dev.

AAAI Spring Symposia

AIES

Publications

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
Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations. CoRR (2024)
Brian Belgodere, Pierre L. Dognin, Adam Ivankay, Igor Melnyk, Youssef Mroueh, Aleksandra Mojsilovic, Jiri Navartil, Apoorva Nitsure, Inkit Padhi, Mattia Rigotti, Jerret Ross, Yair Schiff, Radhika Vedpathak, Richard A. Young
Auditing and Generating Synthetic Data with Controllable Trust Trade-offs. CoRR (2023)
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
Accelerating Inhibitor Discovery for Multiple SARS-CoV-2 Targets with a Single, Sequence-Guided Deep Generative Framework. CoRR (2022)
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
AI Explainability 360: Impact and Design. AAAI (2022)
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
AI Explainability 360 Toolkit. COMAD/CODS (2021)
John T. Richards, David Piorkowski, Michael Hind, Stephanie Houde, Aleksandra Mojsilovic, Kush R. Varshney
A Human-Centered Methodology for Creating AI FactSheets. IEEE Data Eng. Bull. 44 (4) (2021)
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
AI Explainability 360: Impact and Design. CoRR (2021)
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
AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models. J. Mach. Learn. Res. 21 (2020)
Stacy Hobson, Michael Hind, Aleksandra Mojsilovic, Kush R. Varshney
Trust and Transparency in Contact Tracing Applications. CoRR (2020)
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
AI explainability 360: hands-on tutorial. FAT* (2020)
John T. Richards, David Piorkowski, Michael Hind, Stephanie Houde, Aleksandra Mojsilovic
A Methodology for Creating AI FactSheets. CoRR (2020)
Vijil Chenthamarakshan, Payel Das, Inkit Padhi, Hendrik Strobelt, Kar Wai Lim, Benjamin Hoover, Samuel C. Hoffman, Aleksandra Mojsilovic
Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models. CoRR (2020)
Vijil Chenthamarakshan, Payel Das, Samuel C. Hoffman, Hendrik Strobelt, Inkit Padhi, Kar Wai Lim, Benjamin Hoover, Matteo Manica, Jannis Born, Teodoro Laino, Aleksandra Mojsilovic
CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models. NeurIPS (2020)
Michael Hind, Stephanie Houde, Jacquelyn Martino, Aleksandra Mojsilovic, David Piorkowski, John T. Richards, Kush R. Varshney
Experiences with Improving the Transparency of AI Models and Services. CHI Extended Abstracts (2020)
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
Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics. CoRR (2020)
Michael Hind, Dennis Wei, Murray Campbell, Noel C. F. Codella, Amit Dhurandhar, Aleksandra Mojsilovic, Karthikeyan Natesan Ramamurthy, Kush R. Varshney
TED: Teaching AI to Explain its Decisions. AIES (2019)
Michael Hind, Stephanie Houde, Jacquelyn Martino, Aleksandra Mojsilovic, David Piorkowski, John T. Richards, Kush R. Varshney
Experiences with Improving the Transparency of AI Models and Services. CoRR (2019)
Yaoli Mao, Dakuo Wang, Michael J. Muller, Kush R. Varshney, Ioana Baldini, Casey Dugan, Aleksandra Mojsilovic
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. 3 (GROUP) (2019)
Kush R. Varshney, Aleksandra Mojsilovic
Open Platforms for Artificial Intelligence for Social Good: Common Patterns as a Pathway to True Impact. CoRR (2019)
Yaoli Mao, Dakuo Wang, Michael J. Muller, Kush R. Varshney, Ioana Baldini, Casey Dugan, Aleksandra Mojsilovic
How Data Scientists Work Together With Domain Experts in Scientific Collaborations: To Find The Right Answer Or To Ask The Right Question? CoRR (2019)
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
Think Your Artificial Intelligence Software Is Fair? Think Again. IEEE Softw. 36 (4) (2019)
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
FactSheets: Increasing trust in AI services through supplier's declarations of conformity. IBM J. Res. Dev. 63 (4/5) (2019)
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
AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias. IBM J. Res. Dev. 63 (4/5) (2019)
Noel C. F. Codella, Michael Hind, Karthikeyan Natesan Ramamurthy, Murray Campbell, Amit Dhurandhar, Kush R. Varshney, Dennis Wei, Aleksandra Mojsilovic
Teaching AI to Explain its Decisions Using Embeddings and Multi-Task Learning. CoRR (2019)
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
One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques. CoRR (2019)
Evan Patterson, Ioana Baldini, Aleksandra Mojsilovic, Kush R. Varshney
Teaching machines to understand data science code by semantic enrichment of dataflow graphs. CoRR (2018)
Noel C. F. Codella, Michael Hind, Karthikeyan Natesan Ramamurthy, Murray Campbell, Amit Dhurandhar, Kush R. Varshney, Dennis Wei, Aleksandra Mojsilovic
TED: Teaching AI to Explain its Decisions. CoRR (2018)
Payel Das, Kahini Wadhawan, Oscar Chang, Tom Sercu, Cícero Nogueira dos Santos, Matthew Riemer, Inkit Padhi, Vijil Chenthamarakshan, Aleksandra Mojsilovic
PepCVAE: Semi-Supervised Targeted Design of Antimicrobial Peptide Sequences. CoRR (2018)
Vidya Muthukumar, Tejaswini Pedapati, Nalini K. Ratha, Prasanna Sattigeri, Chai-Wah Wu, Brian Kingsbury, Abhishek Kumar, Samuel Thomas, Aleksandra Mojsilovic, Kush R. Varshney
Understanding Unequal Gender Classification Accuracy from Face Images. CoRR (2018)
Evan Patterson, Ioana Baldini, Aleksandra Mojsilovic, Kush R. Varshney
Semantic Representation of Data Science Programs. IJCAI (2018)
Michael Hind, Sameep Mehta, Aleksandra Mojsilovic, Ravi Nair, Karthikeyan Natesan Ramamurthy, Alexandra Olteanu, Kush R. Varshney
Increasing Trust in AI Services through Supplier's Declarations of Conformity. CoRR (2018)
Noel C. F. Codella, Michael Hind, Karthikeyan Natesan Ramamurthy, Murray Campbell, Amit Dhurandhar, Kush R. Varshney, Dennis Wei, Aleksandra Mojsilovic
Teaching Meaningful Explanations. CoRR (2018)
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
AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias. CoRR (2018)
Evan Patterson, Robert N. McBurney, H. Schmidt, Ioana Baldini, Aleksandra Mojsilovic, Kush R. Varshney
Dataflow representation of data analyses: Toward a platform for collaborative data science. IBM J. Res. Dev. 61 (6) (2017)
Yumeng Tao, Debarun Bhattacharjya, Aliza R. Heching, Aditya Vempaty, Moninder Singh, Felix Lam, Jan Houdek, M. Abubakar, Abdulwahab Alharbi, T. Braimoh, N. Ihebuzor, Aleksandra Mojsilovic, Kush R. Varshney
Effectiveness of peer detailing in a diarrhea program in Nigeria. IBM J. Res. Dev. 61 (6) (2017)
Kien Pham, Prasanna Sattigeri, Amit Dhurandhar, A. C. Jacob, M. Vukovic, P. Chataigner, Juliana Freire, Aleksandra Mojsilovic, Kush R. Varshney
Real-time understanding of humanitarian crises via targeted information retrieval. IBM J. Res. Dev. 61 (6) (2017)
H. Lamba, M. E. Helander, Moninder Singh, N. Lethif, Achyutram Bhamidipaty, S. A. Baset, Aleksandra Mojsilovic, Kush R. Varshney
Understanding the ecospace of philanthropic projects. IBM J. Res. Dev. 61 (6) (2017)
Yumeng Tao, Debarun Bhattacharjya, Aliza R. Heching, Aditya Vempaty, Moninder Singh, Felix Lam, Kush R. Varshney, Aleksandra Mojsilovic
Statistical Analysis of Peer Detailing for Children's Diarrhea Treatments. AAAI Spring Symposia (2017)
Evan Patterson, Ioana Baldini, Aleksandra Mojsilovic, Kush R. Varshney
Machine Representation of Data Analyses: Towards a Platform for Collaborative Data Science. AAAI Spring Symposia (2017)
Caitlin Kuhlman, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Aurelie C. Lozano, Lei Cao, C. Reddy, Aleksandra Mojsilovic, Kush R. Varshney
How to foster innovation: A data-driven approach to measuring economic competitiveness. IBM J. Res. Dev. 61 (6) (2017)
Aleksandra Mojsilovic, Kush R. Varshney
Preface: Data Science for Social Good. IBM J. Res. Dev. 61 (6) (2017)
Prasanna Sattigeri, Aurélie C. Lozano, Aleksandra Mojsilovic, Kush R. Varshney, Mahmoud Naghshineh
Understanding Innovation to Drive Sustainable Development. CoRR (2016)
Aurelie C. Lozano, Prasanna Sattigeri, Aleksandra Mojsilovic, Kush R. Varshney
Stable estimation of Granger-causal factors of country-level innovation. GlobalSIP (2016)
Dmitriy A. Katz-Rogozhnikov, Dennis Wei, Gigi Y. Yuen-Reed, Karthikeyan Natesan Ramamurthy, Aleksandra Mojsilovic
Toward Comprehensive Attribution of Healthcare Cost Changes. ICDM Workshops (2015)
Aleksandra Mojsilovic, Kush R. Varshney
Assessing Expertise in the Enterprise: The Recommender Point of View. RecSys (2015)
Kush R. Varshney, Dennis Wei, Karthikeyan Natesan Ramamurthy, Aleksandra Mojsilovic
Data Challenges in Disease Response: The 2014 Ebola Outbreak and Beyond. ACM J. Data Inf. Qual. 6 (2-3) (2015)
Kush R. Varshney, Vijil Chenthamarakshan, Scott W. Fancher, Jun Wang, DongPing Fang, Aleksandra Mojsilovic
Predicting employee expertise for talent management in the enterprise. KDD (2014)
Dennis Wei, Karthikeyan Natesan Ramamurthy, Dmitriy A. Katz-Rogozhnikov, Aleksandra Mojsilovic
Multiplicative regression via constrained least squares. SSP (2014)
DongPing Fang, Kush R. Varshney, Jun Wang, Karthikeyan Natesan Ramamurthy, Aleksandra Mojsilovic, John H. Bauer
Quantifying and Recommending Expertise When New Skills Emerge. ICDM Workshops (2013)
Moritz Baier, Jorge E. Carballo, Alice J. Chang, Yingdong Lu, Aleksandra Mojsilovic, M. Jonathan Richard, Moninder Singh, Mark S. Squillante, Kush R. Varshney
Sales-force performance analytics and optimization. IBM J. Res. Dev. 56 (6) (2012)
Jun Wang, Kush R. Varshney, Aleksandra Mojsilovic
Legislative Prediction via Random Walks over a Heterogeneous Graph. SDM (2012)
Kush R. Varshney, Jamie C. Rasmussen, Aleksandra Mojsilovic, Moninder Singh, Joan Morris DiMicco
Interactive Visual Salesforce Analytics. ICIS (2012)
Moninder Singh, Kush R. Varshney, Jun Wang, Aleksandra Mojsilovic, Alisia R. Gill, Patricia I. Faur, Raphael Ezry
An Analytics Approach for Proactively Combating Voluntary Attrition of Employees. ICDM Workshops (2012)
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
OnTheMark: Integrated Stochastic Resource Planning of Human Capital Supply Chains. Interfaces 41 (5) (2011)
Kush R. Varshney, Aleksandra Mojsilovic
Business Analytics Based on Financial Time Series. IEEE Signal Process. Mag. 28 (5) (2011)
Dmitriy A. Katz-Rogozhnikov, Kush R. Varshney, Aleksandra Mojsilovic, Moninder Singh
MCMC inference of the shape and variability of time-response signals. ICASSP (2011)
Kush R. Varshney, Moninder Singh, Mayank Sharma, Aleksandra Mojsilovic
Estimating Post-Event Seller Productivity Profiles in Dynamic Sales Organizations. ICDM Workshops (2011)
Jianying Hu, Yingdong Lu, Aleksandra Mojsilovic, Mayank Sharma, Mark S. Squillante
Performance management of IT services delivery. SIGMETRICS Perform. Evaluation Rev. 37 (4) (2010)
Vikas Sindhwani, Serhat Selcuk Bucak, Jianying Hu, Aleksandra Mojsilovic
One-Class Matrix Completion with Low-Density Factorizations. ICDM (2010)
Afsaneh Shirazi, Jianying Hu, Moninder Singh, Mark S. Squillante, Aleksandra Mojsilovic
A framework for combined bayesian analysis and optimization for services delivery. SOLI (2009)
Vijil Chenthamarakshan, Kuntal Dey, Jianying Hu, Aleksandra Mojsilovic, W. Riddle, Vikas Sindhwani
Leveraging social networks for corporate staffing and expert recommendation. IBM J. Res. Dev. 53 (6) (2009)
Vikas Sindhwani, Jianying Hu, Aleksandra Mojsilovic
Regularized Co-Clustering with Dual Supervision. NIPS (2008)
Jianying Hu, Moninder Singh, Aleksandra Mojsilovic
Categorization using semi-supervised clustering. ICPR (2008)
Jianying Hu, Aleksandra Mojsilovic
High-utility pattern mining: A method for discovery of high-utility item sets. Pattern Recognit. 40 (11) (2007)
Aleksandra Mojsilovic, Bonnie Ray, Richard Lawrence, Samer Takriti
A logistic regression framework for information technology outsourcing lifecycle management. Comput. Oper. Res. 34 (12) (2007)
Aleksandra Mojsilovic
Perceptual Indexing of Multivariate Time Series. ICASSP (2) (2007)
Jianying Hu, Aleksandra Mojsilovic
Offering Pattern Mining Using High Yield Partition Trees. ICASSP (5) (2006)
Aleksandra Mojsilovic
A logistic regression model for small sample classification problems with hidden variables and non-linear relationships: an application in business analytics. ICASSP (5) (2005)
Aleksandra Mojsilovic
A computational model for color naming and describing color composition of images. IEEE Trans. Image Process. 14 (5) (2005)
Junqing Chen, Thrasyvoulos N. Pappas, Aleksandra Mojsilovic, Bernice E. Rogowitz
Adaptive Perceptual Color-Texture Image Segmentation. IEEE Trans. Image Process. 14 (10) (2005)
Junqing Chen, Thrasyvoulos N. Pappas, Aleksandra Mojsilovic, Bernice E. Rogowitz
Perceptually-tuned multiscale color-texture segmentation. ICIP (2004)
Aleksandra Mojsilovic, José Gomes, Bernice E. Rogowitz
Semantic-Friendly Indexing and Quering of Images Based on the Extraction of the Objective Semantic Cues. Int. J. Comput. Vis. 56 (1-2) (2004)
Aleksandra Mojsilovic, Bernice E. Rogowitz
Semantic metric for image library exploration. IEEE Trans. Multim. 6 (6) (2004)
Aleksandra Mojsilovic, Bernice E. Rogowitz
Color image semantics for digital libraries. Human Vision and Electronic Imaging (2003)
Junqing Chen, Thrasyvoulos N. Pappas, Aleksandra Mojsilovic, Bernice E. Rogowitz
Perceptual color and spatial texture features for segmentation. Human Vision and Electronic Imaging (2003)
Junqing Chen, Thrasyvoulos N. Pappas, Aleksandra Mojsilovic, Bernice E. Rogowitz
Image segmentation by spatially adaptive color and texture features. ICIP (1) (2003)
Aleksandra Mojsilovic
A method for color naming and description of color composition in images. ICIP (2) (2002)
Junqing Chen, Thrasyvoulos N. Pappas, Aleksandra Mojsilovic, Bernice E. Rogowitz
Adaptive image segmentation based on color and texture. ICIP (3) (2002)
Aleksandra Mojsilovic, José Gomes, Bernice E. Rogowitz
ISee: perceptual features for image library navigation. Human Vision and Electronic Imaging (2002)
José Gomes, Aleksandra Mojsilovic
A Variational Approach to Recovering a Manifold from Sample Points. ECCV (2) (2002)
Aleksandra Mojsilovic, Jianying Hu, Emina Soljanin
Extraction of perceptually important colors and similarity measurement for image matching, retrieval and analysis. IEEE Trans. Image Process. 11 (11) (2002)
José Gomes, Aleksandra Mojsilovic
Semantic based categorization, browsing and retrieval in medical image databases. ICIP (3) (2002)
Aleksandra Mojsilovic, Bernice E. Rogowitz
Psychophysical approach to modeling image semantics. Human Vision and Electronic Imaging (2001)
Aleksandra Mojsilovic, Bernice E. Rogowitz
Capturing image semantics with low-level descriptors. ICIP (1) (2001)
Aleksandra Mojsilovic, Emina Soljanin
Color quantization and processing by Fibonacci lattices. IEEE Trans. Image Process. 10 (11) (2001)
Aleksandra Mojsilovic, Emina Soljanin
Quantization of color spaces and processing of color images by fibonacci lattices. Human Vision and Electronic Imaging (2000)
Aleksandra Mojsilovic, Jianying Hu
A Method for Color Content Matching of Images. IEEE International Conference on Multimedia and Expo (II) (2000)
Aleksandra Mojsilovic, Jelena Kovacevic, Darren Kall, Robert J. Safranek, S. Kicha Ganapathy
The vocabulary and grammar of color patterns. IEEE Trans. Image Process. 9 (3) (2000)
Aleksandra Mojsilovic, Jianying Hu
Extraction of Perceptually Important Colors and Similarity Measurement for Image Matching. ICIP (2000)
Jianying Hu, Aleksandra Mojsilovic
Optimal Color Composition Matching of Images. ICPR (2000)
Aleksandra Mojsilovic, Jelena Kovacevic, Jianying Hu, Robert J. Safranek, S. Kicha Ganapathy
Matching and retrieval based on the vocabulary and grammar of color patterns. IEEE Trans. Image Process. 9 (1) (2000)
Aleksandra Mojsilovic, Miodrag V. Popovic, Dejan M. Rackov
On the selection of an optimal wavelet basis for texture characterization. IEEE Trans. Image Process. 9 (12) (2000)
Aleksandra Mojsilovic, Jelena Kovacevic, Jian Hu, Robert J. Safranek, S. Kicha Ganapathy
Matching and Retrieval Based on the Vocabulary and Grammar of Color Patterns. ICMCS, Vol. 1 (1999)
Aleksandra Mojsilovic, Jianying Hu, Robert J. Safranek
Perceptually Based Color Texture Features and Metrics for Image Retrieval. ICIP (3) (1999)
Aleksandra Mojsilovic, Jelena Kovacevic, Jianying Hu, Robert J. Safranek, S. Kicha Ganapathy
Retrieval of color patterns based on perceptual dimensions of texture and human similiarity rules. Human Vision and Electronic Imaging (1999)
Laurent Balmelli, Aleksandra Mojsilovic
Wavelet Domain Features for Texture Description, Classification and Replicability Analysis. ICIP (4) (1999)
Aleksandra Mojsilovic, Srdjan Markovic, Miodrag V. Popovic
Hexagonal wavelet decomposition for texture characterization. EUSIPCO (1998)
Aleksandra Mojsilovic, Dejan M. Rackov, Miodrag V. Popovic
On the Selection of an Optimal Wavelet Basis for Texture Characterization. ICIP (3) (1998)
Aleksandra Mojsilovic, Miodrag V. Popovic, Srdjan Markovic, Miodrag Krstic
Characterization of Visually Similar Diffuse Disease from B-scan Liver Images Using Nonseparable Wavelet Transform. IEEE Trans. Medical Imaging 17 (4) (1998)
Aleksandra Mojsilovic, Miodrag V. Popovic, Aleksandar N. Neskovic, Aleksandar D. Popovic
Wavelet image extension for analysis and classification of infarcted myocardial tissue. IEEE Trans. Biomed. Eng. 44 (9) (1997)

Aleksandra Mojsilovic.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Aleksandra Mojsilovic