Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDAnca L. Ralescu
Person information
- affiliation: University of Cincinnati, Department of Electrical Engineering and Computing Systems, OH, USA
- affiliation (PhD 1983): Indiana University, Bloomington, IN, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j46]Wenjiao Liua, Anca L. Ralescu:
A Contour-Based Feature Extraction Algorithm. Adv. Artif. Intell. Mach. Learn. 4(1): 2113-2127 (2024)- [j45]Sarfaraz Ahmed Mohammed
, Anca L. Ralescu:
Insights into Image Understanding: Segmentation Methods for Object Recognition and Scene Classification. Algorithms 17(5): 189 (2024) - [i11]John Musgrave, Anca L. Ralescu:
kNN Classification of Malware Data Dependency Graph Features. CoRR abs/2406.02654 (2024) - 2023
- [j44]Yanan Zhang, Yiying Zhang, Anca L. Ralescu:
Hybrid Vehicle Timetable Scheduling Under Fuzzy Decision Making. Adv. Artif. Intell. Mach. Learn. 3(3): 1234-1247 (2023) - [j43]Sarfaraz Ahmed Mohammed, Senuka D. Abeysinghe, Anca L. Ralescu:
Feature Selection and Comparative Analysis of Breast Cancer Prediction Using Clinical Data and Histopathological Whole Slide Images. Adv. Artif. Intell. Mach. Learn. 3(3): 1494-1525 (2023) - [j42]Senuka D. Abeysinghe, Sarfaraz Ahmed Mohammed, Anca L. Ralescu:
A Note on Plant Virus Images for Use in Machine Learning. Adv. Artif. Intell. Mach. Learn. 3(4): 1825-1833 (2023) - [j41]Sunday Cosmos Ngwobia, Anca L. Ralescu, David Kapp, Temesgen Kebede:
Detection of malicious PE files using synthesized DNA artifacts. Comput. Secur. 134: 103457 (2023) - [j40]Sarfaraz Ahmed Mohammed, Anca L. Ralescu:
Future Internet Architectures on an Emerging Scale - A Systematic Review. Future Internet 15(5): 166 (2023) - [j39]Zhiyuan Li, Hailong Li, Anca L. Ralescu, Jonathan R. Dillman, Nehal A. Parikh, Lili He:
A novel collaborative self-supervised learning method for radiomic data. NeuroImage 277: 120229 (2023) - [j38]Zhiyuan Li, Anca L. Ralescu:
Generalized self-supervised contrastive learning with bregman divergence for image recognition. Pattern Recognit. Lett. 171: 155-161 (2023) - [c86]Zhiyuan Li, Ziru Liu, Anna Zou, Anca L. Ralescu:
Learning Empirical Bregman Divergence for Uncertain Distance Representation. FUSION 2023: 1-8 - [c85]Andrew Kosikowski, Daniel Cho, Mabon Ninan, Anca L. Ralescu, Boyang Wang:
EvilELF: Evasion Attacks on Deep-Learning Malware Detection over ELF Files. ICMLA 2023: 1702-1709 - [p3]Javier Viaña, Stephan Ralescu, Kelly Cohen, Anca L. Ralescu, Vladik Kreinovich:
Extension to Multidimensional Problems of a Fuzzy-Based Explainable and Noise-Resilient Algorithm. Decision Making Under Uncertainty and Constraints 2023: 289-296 - [i10]Zhiyuan Li, Anca L. Ralescu:
Learning Generalized Hybrid Proximity Representation for Image Recognition. CoRR abs/2301.13459 (2023) - [i9]Zhiyuan Li, Hailong Li, Anca L. Ralescu, Jonathan R. Dillman, Nehal A. Parikh, Lili He:
A Novel Collaborative Self-Supervised Learning Method for Radiomic Data. CoRR abs/2302.09807 (2023) - [i8]Zhiyuan Li, Ziru Liu, Anna Zou, Anca L. Ralescu:
Learning Empirical Bregman Divergence for Uncertain Distance Representation. CoRR abs/2304.07689 (2023) - [i7]Pradyumna Elavarthi, Arun Bhattacharjee, Anca L. Ralescu, Ashley Paz y Puente:
Semantic Segmentation of Porosity in 4D Spatio-Temporal X-ray μCT of Titanium Coated Ni wires using Deep Learning. CoRR abs/2306.14039 (2023) - [i6]Pradyumna Elavarthi, James Lee, Anca L. Ralescu:
On the ability of CNNs to extract color invariant intensity based features for image classification. CoRR abs/2307.06500 (2023) - [i5]Zhiyuan Li, Hailong Li, Anca L. Ralescu, Jonathan R. Dillman, Mekibib Altaye, Kim M. Cecil, Nehal A. Parikh, Lili He:
Joint Self-Supervised and Supervised Contrastive Learning for Multimodal MRI Data: Towards Predicting Abnormal Neurodevelopment. CoRR abs/2312.15064 (2023) - 2022
- [j37]Javier Viaña, Stephan Ralescu, Kelly Cohen, Vladik Kreinovich, Anca L. Ralescu:
Why Cauchy Membership Functions: Reliability. Adv. Artif. Intell. Mach. Learn. 2(2) (2022) - [j36]Kowshik Bhowmik, Anca L. Ralescu:
Clustering of Monolingual Embedding Spaces. Digit. 3(1): 48-66 (2022) - [j35]Xiaorong Huang, Anca L. Ralescu, Yiqiang Peng, Hongli Gao, Shulei Sun:
Non-Fragile Observer-Based Adaptive Integral Sliding Mode Control for a Class of T-S Fuzzy Descriptor Systems With Unmeasurable Premise Variables. Frontiers Neurorobotics 16 (2022) - [c84]Zhiyuan Li, Anca L. Ralescu:
Learning Generalized Hybrid Proximity Representation for Image Recognition. ICTAI 2022: 901-908 - [c83]Kowshik Bhowmik, Anca L. Ralescu:
Bridging the Resource Gap in Cross-Lingual Embedding Space. MDIS 2022: 122-135 - [c82]John Musgrave, Temesguen Messay Kebede, David Kapp, Anca L. Ralescu:
Latent Semantic Structure in Malicious Programs. MDIS 2022: 234-246 - [c81]Sofia Holguin, Javier Viaña, Kelly Cohen, Anca L. Ralescu, Vladik Kreinovich:
Why Sine Membership Functions. NAFIPS 2022: 83-89 - [c80]Javier Viaña, Stephan Ralescu, Vladik Kreinovich, Anca L. Ralescu, Kelly Cohen:
Single Hidden Layer CEFYDRA: Cluster-first Explainable FuzzY-based Deep self-Reorganizing Algorithm. NAFIPS 2022: 298-307 - [c79]Javier Viaña, Stephan Ralescu, Vladik Kreinovich, Anca L. Ralescu, Kelly Cohen:
Multiple Hidden Layered CEFYDRA: Cluster-First Explainable Fuzzy-Based Deep Self-reorganizing Algorithm. NAFIPS 2022: 308-322 - [c78]Javier Viaña, Stephan Ralescu, Vladik Kreinovich, Anca L. Ralescu, Kelly Cohen:
Initialization and Plasticity of CEFYDRA: Cluster-first Explainable FuzzY-based Deep self-Reorganizing Algorithm. NAFIPS 2022: 323-335 - [i4]John Musgrave, Alina Campan, Temesguen Messay Kebede, David Kapp, Anca L. Ralescu:
Empirical Network Structure of Malicious Programs. CoRR abs/2210.08034 (2022) - [i3]John Musgrave, Temesguen Messay Kebede, David Kapp, Anca L. Ralescu:
A Novel Feature Representation for Malware Classification. CoRR abs/2210.09580 (2022) - [i2]John Musgrave, Temesguen Messay Kebede, David Kapp, Anca L. Ralescu:
Latent Semantic Structure in Malicious Programs. CoRR abs/2210.17390 (2022) - 2021
- [j34]Javier Viaña, Stephan Ralescu, Kelly Cohen, Vladik Kreinovich, Anca L. Ralescu:
Why Cauchy Membership Functions: Efficiency. Adv. Artif. Intell. Mach. Learn. 1(1): 82-89 (2021) - [j33]Kowshik Bhowmik, Anca L. Ralescu:
Leveraging Vector Space Similarity for Learning Cross-Lingual Word Embeddings: A Systematic Review. Digit. 1(3): 145-161 (2021) - [p2]Dan A. Ralescu, Anca L. Ralescu:
Abstract Models for Systems Identification. Fuzzy Approaches for Soft Computing and Approximate Reasoning 2021: 99-110 - 2020
- [j32]Yanan Zhang, Qinghua Hu, Zhaopeng Meng, Anca L. Ralescu:
Fuzzy dynamic timetable scheduling for public transit. Fuzzy Sets Syst. 395: 235-253 (2020) - [j31]Wesam A. Askar, Osama Elmowafy, Anca L. Ralescu, Aliaa A. A. Youssif, Gamal A. Elnashar:
Occlusion detection and processing using optical flow and particle filter. Int. J. Adv. Intell. Paradigms 15(1): 63-76 (2020) - [j30]Yu Mei, Zhang Kun, Anca L. Ralescu:
The dilemma phenomenon, logistics for monetary independence policy and foreign exchange reserves. Soft Comput. 24(9): 6457-6466 (2020) - [c77]Deeptha Girish, Vineeta Singh, Anca L. Ralescu:
Understanding action recognition in still images. CVPR Workshops 2020: 1523-1529 - [c76]Kowshik Bhowmik, Anca L. Ralescu:
Taking a Close Look at Twitter Communities and Clusters. MDIS 2020: 187-201 - [c75]Monika Chandrasekaran, Anca L. Ralescu, David Kapp, Temesguen Messay Kebede:
Context for API Calls in Malware vs Benign Programs. MDIS 2020: 222-234 - [c74]John Musgrave, Carla Purdy, Anca L. Ralescu, David Kapp, Temesgen Kebede:
Semantic Feature Discovery of Trojan Malware using Vector Space Kernels. MWSCAS 2020: 494-499
2010 – 2019
- 2019
- [j29]Yanan Zhang, Zhaopeng Meng, Yan Zheng, Anca L. Ralescu:
Schedule optimization under fuzzy constraints of vehicle capacity. Fuzzy Optim. Decis. Mak. 18(2): 131-150 (2019) - [j28]Xiaorong Huang, Anca L. Ralescu, Hongli Gao, Haibo Huang:
A survey on the application of fuzzy systems for underactuated systems. J. Syst. Control. Eng. 233(3) (2019) - [c73]Deeptha Girish, Vineeta Singh, Anca L. Ralescu:
Unsupervised clustering based understanding of CNN. CVPR Workshops 2019: 9-11 - [p1]Milena Korostenskaja, Harish Raviprakash, Ulas Bagci, Ki H. Lee, P. C. Chen, Christoph Kapeller, C. Salinas, M. Westerveld, Anca L. Ralescu, J. Xiang, James Baumgartner, M. Elsayed, E. M. Castillo:
Gold Standard for Epilepsy/Tumor Surgery Coupled with Deep Learning Offers Independence to a Promising Functional Mapping Modality. Brain-Computer Interface Research (7) 2019: 11-29 - 2018
- [c72]Lidia Ghosh, Amit Konar, Pratyusha Rakshit, Sricheta Parui, Anca L. Ralescu, Atulya K. Nagar:
P-300 and N-400 Induced Decoding of Learning-Skill of Driving Learners Using Type-2 Fuzzy Sets. FUZZ-IEEE 2018: 1-8 - [c71]Xiaorong Huang, Anca L. Ralescu, Hongli Gao, Juan Wen:
adaptive hierarchical sliding mode control based on fuzzy neural network for an underactuated system. FUZZ-IEEE 2018: 1-7 - [c70]Mousumi Laha, Amit Konar, Pratyusha Rakshit, Lidia Ghosh, Susmita Chaki, Anca L. Ralescu, Atulya K. Nagar:
Hemodynamic Response Analysis for Mind-Driven Type-writing using a Type 2 Fuzzy Classifier. FUZZ-IEEE 2018: 1-8 - 2017
- [j27]Miho Ohsaki, Peng Wang, Kenji Matsuda, Shigeru Katagiri, Hideyuki Watanabe, Anca L. Ralescu:
Confusion-Matrix-Based Kernel Logistic Regression for Imbalanced Data Classification. IEEE Trans. Knowl. Data Eng. 29(9): 1806-1819 (2017) - [c69]Amiyangshu De, Amit Konar, Amalesh Samanta, Souvik Biswas, Anca L. Ralescu, Atulya K. Nagar:
Cognitive load classification in learning tasks from hemodynamic responses using type-2 fuzzy sets. FUZZ-IEEE 2017: 1-6 - [c68]Lidia Ghosh, Amit Konar, Pratyusha Rakshit, Anca L. Ralescu, Atulya K. Nagar:
EEG induced working memory performance analysis using inverse fuzzy relational approach. FUZZ-IEEE 2017: 1-6 - [c67]Deeptha Girish, Vineeta Singh, Anca L. Ralescu:
Preliminary study on an improved weight updating for fuzzy c-means with applications to image segmentation. IFSA-SCIS 2017: 1-6 - [c66]Yanan Zhang, Zhaopeng Meng, Anca L. Ralescu:
Dynamic timetable scheduling with reverse-flow technique in fuzzy environment. IFSA-SCIS 2017: 1-6 - [c65]Stephan Ralescu, Anca L. Ralescu:
Is there a place for Machine Learning in Law? MAICS 2017: 29-32 - [c64]Vineeta Singh, Deeptha Girish, Anca L. Ralescu:
Image Understanding - a Brief Review of Scene Classification and Recognition. MAICS 2017: 85-91 - [c63]Sriparna Saha, Rimita Lahiri, Amit Konar, Anca L. Ralescu, Atulya K. Nagar:
Implementation of gesture driven virtual reality for car racing game using back propagation neural network. SSCI 2017: 1-8 - [c62]Amiyangshu De, Tanuka Bhattacharjee, Amit Konar, Anca L. Ralescu, Atulya K. Nagar:
A type-2 fuzzy set induced classification of cognitive load in inter-individual working memory performance based on hemodynamic response. SSCI 2017: 1-7 - [c61]Lidia Ghosh, Amit Konar, Pratyusha Rakshit, Anca L. Ralescu, Atulya K. Nagar:
EEG analysis for short term memory modeling in visually explored shape recognition tasks. SSCI 2017: 1-8 - 2016
- [j26]Anca L. Ralescu:
Preface to Fuzzy Logic in AI. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 24(Supplement-2) (2016) - [c60]Reshma Kar, Amit Konar, Aruna Chakraborty, Anca L. Ralescu, Atulya K. Nagar:
Extending the Nelder-Mead algorithm for feature selection from brain networks. CEC 2016: 4528-4534 - [c59]Mainak Dan, Anuradha Saha, Amit Konar, Anca L. Ralescu, Atulya K. Nagar:
A type-2 fuzzy approach towards cognitive load detection using fNIRS signals. FUZZ-IEEE 2016: 2508-2515 - [c58]Snehalika Lall, Anuradha Saha, Amit Konar, Mousumi Laha, Anca L. Ralescu, Kalyan kumar Mallik, Atulya K. Nagar:
EEG-based mind driven type writer by fuzzy radial basis function neural classifier. IJCNN 2016: 1076-1082 - [c57]Balaji Baskaran, Anca L. Ralescu:
A Study of Android Malware Detection Techniques and Machine Learning. MAICS 2016: 15-23 - [c56]Deeptha Girish, Vineeta Singh, Anca L. Ralescu:
Extended Pixel Representation for Image Segmentation. MAICS 2016: 63-67 - 2015
- [j25]Dan A. Ralescu, Anca L. Ralescu:
Characterization of a Class of Possibility Distributions. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 23(Supplement-1): 91-94 (2015) - [j24]Anca L. Ralescu, Irene Díaz, Luis J. Rodríguez-Muñiz:
A classification algorithm based on geometric and statistical information. J. Comput. Appl. Math. 275: 335-344 (2015) - [j23]Sumantra Chakraborty, Amit Konar, Anca L. Ralescu, Nikhil R. Pal:
A Fast Algorithm to Compute Precise Type-2 Centroids for Real-Time Control Applications. IEEE Trans. Cybern. 45(2): 340-353 (2015) - [c55]Anca L. Ralescu, Isabelle Bloch, Roberto M. Cesar:
Preliminary Study Towards a Fuzzy Model for Visual Attention. FLinAI@IJCAI 2015 - [c54]Ahmad Rawashdeh, Anca L. Ralescu:
Similarity Measure for Social Networks - A Brief Survey. MAICS 2015: 153-159 - [e9]Irene Díaz, Anca L. Ralescu, Stefan Schiffer:
Proceedings of the Workshop on Fuzzy Logic in AI, FLinAI 2015, co-located with the 24th International Joint Conference on Artificial Intelligence (IJCAI 2015), Buenos Aires, Argentina, July 25, 2015. CEUR Workshop Proceedings 1424, CEUR-WS.org 2015 [contents] - 2014
- [j22]Anca L. Ralescu, Mengxia Wang, Shikha Chaganti, Qiang Han:
A dynamic P300-based BCI speller using a language model. Int. J. Adv. Intell. Paradigms 6(1): 1-13 (2014) - [j21]Vazeerudeen Abdul Hameed, Siti Mariyam Shamsuddin, Maslina Darus, Anca L. Ralescu:
Algorithm for faster computation of non-zero graph based invariants. Neurocomputing 137: 96-106 (2014) - [j20]Anuradha Saha, Amit Konar, Amita Chatterjee, Anca L. Ralescu, Atulya K. Nagar:
EEG Analysis for Olfactory Perceptual-Ability Measurement Using a Recurrent Neural Classifier. IEEE Trans. Hum. Mach. Syst. 44(6): 717-730 (2014) - [c53]Ahmad Rawashdeh, Mohammad Rawashdeh, Irene Díaz, Anca L. Ralescu:
Measures of Semantic Similarity of Nodes in a Social Network. IPMU (2) 2014: 76-85 - [c52]Nathan Sommer, Anca L. Ralescu:
Developing a Machine Learning Approach to Controlling Musical Synthesizer Parameters in Real-Time Live Performance. MAICS 2014: 61-67 - 2013
- [c51]Anuradha Saha, Amit Konar, Pratyusha Rakshit, Anca L. Ralescu, Atulya K. Nagar:
Olfaction recognition by EEG analysis using differential evolution induced Hopfield neural net. IJCNN 2013: 1-8 - [c50]See Pheng Hang, Siti Mariyam Shamsuddin, Anca L. Ralescu:
Massive training in artificial immune recognition algorithm for enhancement of lung CT scans. SoCPaR 2013: 134-139 - [c49]Intan Ermahani A. Jalil, Azah Kamilah Muda, Siti Mariyam Shamsuddin, Anca L. Ralescu:
Geometrical feature based ranking using grey relational analysis (GRA) for writer identification. SoCPaR 2013: 152-157 - [c48]Nilam Nur Amir Sjarif, Siti Zaiton Mohd Hashim, Siti Mariyam Shamsuddin, Anca L. Ralescu:
Higher order geometrical image features representation for action recognition. SoCPaR 2013: 264-269 - [i1]Lotfi A. Zadeh, Anca L. Ralescu:
On the Combinality of Evidence in the Dempster-Shafer Theory. CoRR abs/1304.3119 (2013) - 2012
- [c47]Traian Marius Truta, Alina Campan, Anca L. Ralescu:
Preservation of structural properties in anonymized social networks. CollaborateCom 2012: 619-627 - [c46]Aida Ali, Siti Mariyam Shamsuddin, Anca L. Ralescu:
Hybrid intelligent systems in survival prediction of breast cancer. HIS 2012: 555-559 - [c45]Irene Díaz, Anca L. Ralescu:
Privacy Issues in Social Networks: A Brief Survey. IPMU (4) 2012: 509-518 - [c44]Mohammad Rawashdeh, Anca L. Ralescu:
A Pairwise Distance View of Cluster Validity. IPMU (1) 2012: 561-570 - [c43]Mohammad Rawashdeh, Anca L. Ralescu:
Fuzzy Cluster Validity with Generalized Silhouettes. MAICS 2012: 11-18 - [c42]Mohammad Rawashdeh, Anca L. Ralescu:
Center-Wise Intra-Inter Silhouettes. SUM 2012: 406-419 - [e8]Sofia Visa, Atsushi Inoue, Anca L. Ralescu:
Proceedings of the 23rd Midwest Artificial Intelligence and Cognitive Science Conference 2012, Cincinnati, USA, Apr 21-22, 2012. CEUR Workshop Proceedings 841, CEUR-WS.org 2012 [contents] - 2011
- [j19]Chunsheng Fang, Anca L. Ralescu, Mojtaba Kohram:
Spectral Regression with Low-Rank Approximation for Dynamic Graph Link Prediction. IEEE Intell. Syst. 26(4): 48-53 (2011) - [c41]Aida Ali, Siti Mariyam Shamsuddin, Anca L. Ralescu, Sofia Visa:
Fuzzy classifier for classification of medical data. HIS 2011: 173-178 - [c40]Augustine S. Nsang, Anca L. Ralescu:
A Study of Query-Based Dimensionality Reduction. MAICS 2011: 30-37 - [c39]Sofia Visa, Brian Ramsay, Anca L. Ralescu, Esther van der Knaap:
Confusion Matrix-based Feature Selection. MAICS 2011: 120-127 - [c38]Anca L. Ralescu, Sofia Visa:
Fuzzy Classifiers - Opportunities and Challenges -. SUM 2011: 75-80 - [e7]Sofia Visa, Atsushi Inoue, Anca L. Ralescu:
Proceedings of The 22nd Midwest Artificial Intelligence and Cognitive Science Conference 2011, Cincinnati, Ohio, USA, April 16-17, 2011. CEUR Workshop Proceedings 710, CEUR-WS.org 2011 [contents] - 2010
- [c37]Chunsheng Fang, Minlu Zhang, Anca L. Ralescu, Jason L. Lu:
Curve Profiling Feature: Novel Compact Representation for Drosophila Embryonic Gene Expression Pattern Mining. ICDM Workshops 2010: 695-702 - [c36]Anca L. Ralescu, Sofia Visa, Stefana Popovici:
A Stochastic Treatment of Similarity. IPMU 2010: 11-18
2000 – 2009
- 2009
- [c35]Tomasz M. Rutkowski, Andrzej Cichocki, Toshihisa Tanaka, Danilo P. Mandic, Jianting Cao, Anca L. Ralescu:
Multichannel spectral pattern separation - An EEG processing application -. ICASSP 2009: 373-376 - 2008
- [j18]Sofia Visa, Anca L. Ralescu:
Data-driven fuzzy sets for classification. Int. J. Adv. Intell. Paradigms 1(1): 3-30 (2008) - [c34]Anca L. Ralescu, T. Ishino, Michihiko Minoh:
Fuzzy sets in concept representation using conceptual spaces. FUZZ-IEEE 2008: 2277-2284 - [c33]Tomasz M. Rutkowski, Andrzej Cichocki, Toshihisa Tanaka, Anca L. Ralescu, Danilo P. Mandic:
Clustering of Spectral Patterns Based on EMD Components of EEG Channels with Applications to Neurophysiological Signals Separation. ICONIP (1) 2008: 453-460 - 2007
- [j17]Anca L. Ralescu, Dan A. Ralescu, Yoko Yamakata:
Inference by aggregation of evidence with applications to fuzzy probabilities. Inf. Sci. 177(2): 378-387 (2007) - [c32]Dan Vance, Anca L. Ralescu:
Hyperplane algorithm - first step of the paired planes classification procedure. Artificial Intelligence and Applications 2007: 446-451 - [c31]Anca L. Ralescu, Michihiko Minoh:
Measuring Proximity between Heterogeneous Data. FUZZ-IEEE 2007: 1-6 - [c30]Pando G. Georgiev, Fabian J. Theis, Anca L. Ralescu:
Identifiability Conditions and Subspace Clustering in Sparse BSS. ICA 2007: 357-364 - 2006
- [c29]Pando G. Georgiev, Anca L. Ralescu, Dan A. Ralescu:
Fuzzy Subspace Clustering Algorithm and Applications to Blind Signal Separation. FUZZ-IEEE 2006: 264-268 - [c28]Mircea M. Ionescu, Anca L. Ralescu:
Multidimensional Conceptual Spaces for Summarization. FUZZ-IEEE 2006: 560-565 - [c27]Sofia Visa, Anca L. Ralescu:
On the Relation between Bayes and Fuzzy Classifiers. FUZZ-IEEE 2006: 863-868 - [c26]Pando G. Georgiev, Danielle Nuzillard, Anca L. Ralescu:
Sparse Deflations in Blind Signal Separation. ICA 2006: 807-814 - 2005
- [c25]Dan Vance, Anca L. Ralescu:
Extending the Margin Algorithm. CIMCA/IAWTIC 2005: 389-395 - [c24]Mircea M. Ionescu, Anca L. Ralescu:
Fuzzy Hamming Distance Based Banknote Validator. FUZZ-IEEE 2005: 300-305 - [c23]Sofia Visa, Anca L. Ralescu:
The Effect of Imbalanced Data Class Distribution on Fuzzy Classifiers - Experimental Study. FUZZ-IEEE 2005: 749-754 - 2004
- [c22]Atsushi Inoue, Anca L. Ralescu:
A road map of knowledge management for network security and roles of soft computing. FUZZ-IEEE 2004: 401-406 - [c21]Mircea M. Ionescu, Anca L. Ralescu:
Fuzzy hamming distance in a content-based image retrieval system. FUZZ-IEEE 2004: 1721-1726 - [c20]Sofia Visa, Anca L. Ralescu:
A fuzzy classifier for imbalanced and noisy data. FUZZ-IEEE 2004: 1727-1732 - [c19]Waibhav Tembe, Anca L. Ralescu:
Fuzzy algorithm for contextual character recognition. FUZZ-IEEE 2004: 1733-1738 - [c18]Sofia Visa, Anca L. Ralescu:
Experiments in Guided Class Rebalance Based on Class Structure. MAICS 2004: 8-14 - [c17]