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2020 – today
- 2024
[i21]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 abs/2403.09704 (2024)- 2023
- [i20]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:
Auditing and Generating Synthetic Data with Controllable Trust Trade-offs. CoRR abs/2304.10819 (2023) - 2022
- [c52]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: 12651-12657 - [i19]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 abs/2204.09042 (2022) - 2021
- [j31]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): 47-58 (2021) - [c51]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: 376-379 - [i18]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 abs/2109.12151 (2021) - 2020
- [j30]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: 130:1-130:6 (2020) - [c50]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: 1-8 - [c49]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: 696 - [c48]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 - [i17]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 abs/2004.01215 (2020) - [i16]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 abs/2005.11248 (2020) - [i15]Stacy Hobson, Michael Hind, Aleksandra Mojsilovic, Kush R. Varshney:
Trust and Transparency in Contact Tracing Applications. CoRR abs/2006.11356 (2020) - [i14]John T. Richards, David Piorkowski, Michael Hind, Stephanie Houde, Aleksandra Mojsilovic:
A Methodology for Creating AI FactSheets. CoRR abs/2006.13796 (2020)
2010 – 2019
- 2019
- [j29]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): 4:1-4:15 (2019) - [j28]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): 6:1-6:13 (2019) - [j27]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): 237:1-237:23 (2019) - [j26]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): 76-80 (2019) - [c47]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: 123-129 - [i13]Kush R. Varshney, Aleksandra Mojsilovic:
Open Platforms for Artificial Intelligence for Social Good: Common Patterns as a Pathway to True Impact. CoRR abs/1905.11519 (2019) - [i12]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 abs/1906.02299 (2019) - [i11]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 abs/1909.03012 (2019) - [i10]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 abs/1909.03486 (2019) - [i9]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 abs/1911.08293 (2019) - 2018
- [c46]Evan Patterson, Ioana Baldini, Aleksandra Mojsilovic, Kush R. Varshney:
Semantic Representation of Data Science Programs. IJCAI 2018: 5847-5849 - [r2]Jun Wang, Kush R. Varshney, Aleksandra Mojsilovic:
Legislative Prediction with Political and Social Network Analysis. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i8]Noel C. F. Codella, Michael Hind, Karthikeyan Natesan Ramamurthy, Murray Campbell, Amit Dhurandhar, Kush R. Varshney, Dennis Wei, Aleksandra Mojsilovic:
Teaching Meaningful Explanations. CoRR abs/1805.11648 (2018) - [i7]Evan Patterson, Ioana Baldini, Aleksandra Mojsilovic, Kush R. Varshney:
Teaching machines to understand data science code by semantic enrichment of dataflow graphs. CoRR abs/1807.05691 (2018) - [i6]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 abs/1808.07261 (2018) - [i5]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 abs/1810.01943 (2018) - [i4]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 abs/1810.07743 (2018) - [i3]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 abs/1811.04896 (2018) - [i2]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 abs/1812.00099 (2018) - 2017
- [j25]Aleksandra Mojsilovic, Kush R. Varshney:
Preface: Data Science for Social Good. IBM J. Res. Dev. 61(6): 1-4 (2017) - [j24]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): 1:1-1:12 (2017) - [j23]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): 6:1-6:10 (2017) - [j22]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): 7:1-7:12 (2017) - [j21]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): 9:1-9:13 (2017) - [j20]Caitlin Kuhlman, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Aurélie 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): 11:1-11:12 (2017) - [c45]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 - [c44]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 - 2016
- [c43]Aurélie C. Lozano, Prasanna Sattigeri, Aleksandra Mojsilovic, Kush R. Varshney:
Stable estimation of Granger-causal factors of country-level innovation. GlobalSIP 2016: 1290-1294 - [i1]Prasanna Sattigeri, Aurélie C. Lozano, Aleksandra Mojsilovic, Kush R. Varshney, Mahmoud Naghshineh:
Understanding Innovation to Drive Sustainable Development. CoRR abs/1606.06177 (2016) - 2015
- [j19]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): 5:1-5:3 (2015) - [c42]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: 146-155 - [c41]Aleksandra Mojsilovic, Kush R. Varshney:
Assessing Expertise in the Enterprise: The Recommender Point of View. RecSys 2015: 231 - 2014
- [c40]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: 1729-1738 - [c39]Dennis Wei, Karthikeyan Natesan Ramamurthy, Dmitriy A. Katz-Rogozhnikov, Aleksandra Mojsilovic:
Multiplicative regression via constrained least squares. SSP 2014: 304-307 - [r1]Jun Wang, Kush R. Varshney, Aleksandra Mojsilovic:
Legislative Prediction with Political and Social Network Analysis. Encyclopedia of Social Network Analysis and Mining 2014: 804-811 - 2013
- [c38]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: 672-679 - 2012
- [j18]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): 8 (2012) - [c37]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: 317-323 - [c36]Kush R. Varshney, Jamie C. Rasmussen, Aleksandra Mojsilovic, Moninder Singh, Joan Morris DiMicco:
Interactive Visual Salesforce Analytics. ICIS 2012 - [c35]Jun Wang, Kush R. Varshney, Aleksandra Mojsilovic:
Legislative Prediction via Random Walks over a Heterogeneous Graph. SDM 2012: 1095-1106 - 2011
- [j17]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): 414-435 (2011) - [j16]Kush R. Varshney, Aleksandra Mojsilovic:
Business Analytics Based on Financial Time Series. IEEE Signal Process. Mag. 28(5): 83-93 (2011) - [c34]Dmitriy A. Katz-Rogozhnikov, Kush R. Varshney, Aleksandra Mojsilovic, Moninder Singh:
MCMC inference of the shape and variability of time-response signals. ICASSP 2011: 3956-3959 - [c33]Kush R. Varshney, Moninder Singh, Mayank Sharma, Aleksandra Mojsilovic:
Estimating Post-Event Seller Productivity Profiles in Dynamic Sales Organizations. ICDM Workshops 2011: 1191-1198 - 2010
- [j15]Jianying Hu, Yingdong Lu, Aleksandra Mojsilovic, Mayank Sharma, Mark S. Squillante:
Performance management of IT services delivery. SIGMETRICS Perform. Evaluation Rev. 37(4): 50-57 (2010) - [c32]Vikas Sindhwani, Serhat Selcuk Bucak, Jianying Hu, Aleksandra Mojsilovic:
One-Class Matrix Completion with Low-Density Factorizations. ICDM 2010: 1055-1060
2000 – 2009
- 2009
- [j14]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): 11 (2009) - [c31]Afsaneh Shirazi, Jianying Hu, Moninder Singh, Mark S. Squillante, Aleksandra Mojsilovic:
A framework for combined bayesian analysis and optimization for services delivery. SOLI 2009: 382-387 - 2008
- [c30]Jianying Hu, Moninder Singh, Aleksandra Mojsilovic:
Categorization using semi-supervised clustering. ICPR 2008: 1-4 - [c29]Vikas Sindhwani, Jianying Hu, Aleksandra Mojsilovic:
Regularized Co-Clustering with Dual Supervision. NIPS 2008: 1505-1512 - 2007
- [j13]Aleksandra Mojsilovic, Bonnie Ray, Richard Lawrence, Samer Takriti:
A logistic regression framework for information technology outsourcing lifecycle management. Comput. Oper. Res. 34(12): 3609-3627 (2007) - [j12]Jianying Hu, Aleksandra Mojsilovic:
High-utility pattern mining: A method for discovery of high-utility item sets. Pattern Recognit. 40(11): 3317-3324 (2007) - [c28]Aleksandra Mojsilovic:
Perceptual Indexing of Multivariate Time Series. ICASSP (2) 2007: 533-536 - 2006
- [c27]Jianying Hu, Aleksandra Mojsilovic:
Offering Pattern Mining Using High Yield Partition Trees. ICASSP (5) 2006: 733-736 - 2005
- [j11]Aleksandra Mojsilovic:
A computational model for color naming and describing color composition of images. IEEE Trans. Image Process. 14(5): 690-699 (2005) - [j10]Junqing Chen, Thrasyvoulos N. Pappas, Aleksandra Mojsilovic, Bernice E. Rogowitz:
Adaptive Perceptual Color-Texture Image Segmentation. IEEE Trans. Image Process. 14(10): 1524-1536 (2005) - [c26]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: 329-332 - 2004
- [j9]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): 79-107 (2004) - [j8]Aleksandra Mojsilovic, Bernice E. Rogowitz:
Semantic metric for image library exploration. IEEE Trans. Multim. 6(6): 828-838 (2004) - [c25]Junqing Chen, Thrasyvoulos N. Pappas, Aleksandra Mojsilovic, Bernice E. Rogowitz:
Perceptually-tuned multiscale color-texture segmentation. ICIP 2004: 921-924 - 2003
- [c24]Aleksandra Mojsilovic, Bernice E. Rogowitz:
Color image semantics for digital libraries. Human Vision and Electronic Imaging 2003: 22-33 - [c23]Junqing Chen, Thrasyvoulos N. Pappas, Aleksandra Mojsilovic, Bernice E. Rogowitz:
Perceptual color and spatial texture features for segmentation. Human Vision and Electronic Imaging 2003: 340-351 - [c22]Junqing Chen, Thrasyvoulos N. Pappas, Aleksandra Mojsilovic, Bernice E. Rogowitz:
Image segmentation by spatially adaptive color and texture features. ICIP (1) 2003: 1005-1008 - 2002
- [j7]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): 1238-1248 (2002) - [c21]José Gomes, Aleksandra Mojsilovic:
A Variational Approach to Recovering a Manifold from Sample Points. ECCV (2) 2002: 3-17 - [c20]Aleksandra Mojsilovic, José Gomes, Bernice E. Rogowitz:
ISee: perceptual features for image library navigation. Human Vision and Electronic Imaging 2002: 266-277 - [c19]José Gomes, Aleksandra Mojsilovic:
Semantic based categorization, browsing and retrieval in medical image databases. ICIP (3) 2002: 145-148 - [c18]Junqing Chen, Thrasyvoulos N. Pappas, Aleksandra Mojsilovic, Bernice E. Rogowitz:
Adaptive image segmentation based on color and texture. ICIP (3) 2002: 777-780 - [c17]Aleksandra Mojsilovic:
A method for color naming and description of color composition in images. ICIP (2) 2002: 789-792 - 2001
- [j6]Aleksandra Mojsilovic, Emina Soljanin:
Color quantization and processing by Fibonacci lattices. IEEE Trans. Image Process. 10(11): 1712-1725 (2001) - [c16]Aleksandra Mojsilovic, Bernice E. Rogowitz:
Psychophysical approach to modeling image semantics. Human Vision and Electronic Imaging 2001: 470-477 - [c15]Aleksandra Mojsilovic, Bernice E. Rogowitz:
Capturing image semantics with low-level descriptors. ICIP (1) 2001: 18-21 - 2000
- [j5]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): 38-54 (2000) - [j4]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): 417-431 (2000) - [j3]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): 2043-2050 (2000) - [c14]Aleksandra Mojsilovic, Emina Soljanin:
Quantization of color spaces and processing of color images by fibonacci lattices. Human Vision and Electronic Imaging 2000: 345-355 - [c13]Aleksandra Mojsilovic, Jianying Hu:
Extraction of Perceptually Important Colors and Similarity Measurement for Image Matching. ICIP 2000: 61-64 - [c12]Aleksandra Mojsilovic, Jianying Hu:
A Method for Color Content Matching of Images. IEEE International Conference on Multimedia and Expo (II) 2000: 649-652 - [c11]Jianying Hu, Aleksandra Mojsilovic:
Optimal Color Composition Matching of Images. ICPR 2000: 4047-4050
1990 – 1999
- 1999
- [c10]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: 441-453 - [c9]Laurent Balmelli, Aleksandra Mojsilovic:
Wavelet Domain Features for Texture Description, Classification and Replicability Analysis. ICIP (4) 1999: 440-444 - [c8]Aleksandra Mojsilovic, Jianying Hu, Robert J. Safranek:
Perceptually Based Color Texture Features and Metrics for Image Retrieval. ICIP (3) 1999: 588-592 - [c7]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: 189-194 - 1998
- [j2]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): 541-549 (1998) - [c6]Aleksandra Mojsilovic, Srdjan Markovic, Miodrag V. Popovic:
Hexagonal wavelet decomposition for texture characterization. EUSIPCO 1998: 1-4 - [c5]Aleksandra Mojsilovic, Dejan M. Rackov, Miodrag V. Popovic:
On the Selection of an Optimal Wavelet Basis for Texture Characterization. ICIP (3) 1998: 678-682 - 1997
- [j1]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): 856-866 (1997) - [c4]Aleksandra Mojsilovic, Srdjan Markovic, Miodrag V. Popovic:
Texture Analysis and Classification with the Nonseparable Wavelet Transform. ICIP (3) 1997: 182-185 - [c3]Aleksandra Mojsilovic, Srdjan Markovic, Miodrag V. Popovic:
Characterization of visually similar diffuse diseases from B-scan liver images with the nonseparable wavelet transform. ICIP (3) 1997: 547-550 - 1996
- [c2]Aleksandra Mojsilovic, Miodrag V. Popovic, Dragutin Sevic:
Classification of the ultrasound liver images with the 2N×1-D wavelet transform. ICIP (1) 1996: 367-370 - 1995
- [c1]Aleksandra Mojsilovic, Miodrag V. Popovic, Aleksandar D. Popovic, Aleksandar N. Neskovic, V. Obradovic:
Analysis and characterization of myocardial tissue with the wavelet image extension [US images]. ICIP 1995: 504-507
Coauthor Index
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