| 2023 | FUSION | Learning Empirical Bregman Divergence for Uncertain Distance Representation. | Zhiyuan Li, Ziru Liu, Anna Zou, Anca L. Ralescu |
| 2023 | ICMLA | EvilELF: Evasion Attacks on Deep-Learning Malware Detection over ELF Files. | Andrew Kosikowski, Daniel Cho, Mabon Ninan, Anca L. Ralescu, Boyang Wang |
| 2022 | ICTAI | Learning Generalized Hybrid Proximity Representation for Image Recognition. | Zhiyuan Li, Anca L. Ralescu |
| 2020 | CVPR | Understanding action recognition in still images. | Deeptha Girish, Vineeta Singh, Anca L. Ralescu |
| 2019 | CVPR | Unsupervised clustering based understanding of CNN. | Deeptha Girish, Vineeta Singh, Anca L. Ralescu |
| 2017 | IFSA | Preliminary study on an improved weight updating for fuzzy c-means with applications to image segmentation. | Deeptha Girish, Vineeta Singh, Anca L. Ralescu |
| 2017 | IFSA | Dynamic timetable scheduling with reverse-flow technique in fuzzy environment. | Yanan Zhang, Zhaopeng Meng, Anca L. Ralescu |
| 2016 | CEC | Extending the Nelder-Mead algorithm for feature selection from brain networks. | Reshma Kar, Amit Konar, Aruna Chakraborty, Anca L. Ralescu, Atulya K. Nagar |
| 2016 | IJCNN | EEG-based mind driven type writer by fuzzy radial basis function neural classifier. | Snehalika Lall, Anuradha Saha, Amit Konar, Mousumi Laha, Anca L. Ralescu, Kalyan kumar Mallik, Atulya K. Nagar |
| 2015 | IJCAI | Preliminary Study Towards a Fuzzy Model for Visual Attention. | Anca L. Ralescu, Isabelle Bloch, Roberto M. Cesar |
| 2014 | IPMU | Measures of Semantic Similarity of Nodes in a Social Network. | Ahmad Rawashdeh, Mohammad Rawashdeh, Irene Daz, Anca L. Ralescu |
| 2013 | IJCNN | Olfaction recognition by EEG analysis using differential evolution induced Hopfield neural net. | Anuradha Saha, Amit Konar, Pratyusha Rakshit, Anca L. Ralescu, Atulya K. Nagar |
| 2012 | HIS | Hybrid intelligent systems in survival prediction of breast cancer. | Aida Ali, Siti Mariyam Shamsuddin, Anca L. Ralescu |
| 2012 | IPMU | Privacy Issues in Social Networks: A Brief Survey. | Irene Daz, Anca L. Ralescu |
| 2012 | IPMU | A Pairwise Distance View of Cluster Validity. | Mohammad Rawashdeh, Anca L. Ralescu |
| 2011 | HIS | Fuzzy classifier for classification of medical data. | Aida Ali, Siti Mariyam Shamsuddin, Anca L. Ralescu, Sofia Visa |
| 2010 | ICDM | Curve Profiling Feature: Novel Compact Representation for Drosophila Embryonic Gene Expression Pattern Mining. | Chunsheng Fang, Minlu Zhang, Anca L. Ralescu, Jason L. Lu |
| 2010 | IPMU | A Stochastic Treatment of Similarity. | Anca L. Ralescu, Sofia Visa, Stefana Popovici |
| 2009 | ICASSP | Multichannel spectral pattern separation - An EEG processing application -. | Tomasz M. Rutkowski, Andrzej Cichocki, Toshihisa Tanaka, Danilo P. Mandic, Jianting Cao, Anca L. Ralescu |
| 2008 | ICONIP | Clustering of Spectral Patterns Based on EMD Components of EEG Channels with Applications to Neurophysiological Signals Separation. | Tomasz M. Rutkowski, Andrzej Cichocki, Toshihisa Tanaka, Anca L. Ralescu, Danilo P. Mandic |
| 2004 | PRICAI | Sifting the Margin - An Iterative Empirical Classification Scheme. | Dan Vance, Anca L. Ralescu |
| 2003 | IFSA | A Comparative Study of Classifiers on a Real Data Set. | Sofia Visa, Anca L. Ralescu |
| 1997 | IJCAI | Evaluation of Fuzzy Quantified Expressions. | Anca L. Ralescu, Dan A. Ralescu, Kaoru Hirota |
| 1995 | IJCAI | Structure Cognition from Images. | Anca L. Ralescu, James G. Shanahan |
| 1994 | IPMU | Object Recognition Based on Pattern Features. | Weijing Zhang, Anca L. Ralescu |
| 1992 | IPMU | From "And" to "Or". | Thierry Arnould, Anca L. Ralescu |
| 1991 | IJCAI | A Method to Implement Qualitative Knowledge in Multi-Layered Neural Networks. | Hiroshi Narazaki, Anca L. Ralescu |
| 1987 | BMVC | Concept Learning from Examples with Applications to a Vision Learning System. | Anca L. Ralescu, James F. Baldwin |