Probability and fuzziness. - Anca L. Ralescu; Dan A. Ralescu (Inf. Sci., 1984)

A note on rule representation in expert systems. - Anca L. Ralescu (Inf. Sci., 1986)

Concept Learning from Examples with Applications to a Vision Learning System. - Anca L. Ralescu; James F. Baldwin (Alvey Vision Conference, 1987)

Concept Learning from Examples and Counter Examples. - Anca L. Ralescu; James F. Baldwin (Int. J. Man Mach. Stud., 1989)

A Method to Implement Qualitative Knowledge in Multi-Layered Neural Networks. - Hiroshi Narazaki; Anca L. Ralescu (Fuzzy Logic and Fuzzy Control, 1991)

From "And" to "Or". - Thierry Arnould; Anca L. Ralescu (IPMU, 1992)

A connectionist approach for rule-based inference using an improved relaxation method. - Hiroshi Narazaki; Anca L. Ralescu (IEEE Trans. Neural Networks, 1992)

Fuzzy sets, fuzzy logic and the goals of artificial intelligence. - Anca L. Ralescu (ANNES, 1993)

Implementation of fuzzy systems using multilayered neural network. - Hiroshi Narazaki; Anca L. Ralescu (ICNN, 1993)

A connectionist approach for default inference and conflict resolution. - Hiroshi Zarazaki; Anca L. Ralescu (ICNN, 1993)

Management of Uncertainty in Top-Down, fuzzy Logic-Based Image Understanding of Natural Objects. - Koji Miyajima; Toshio Norita; Anca L. Ralescu (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1993)

An improved synthesis method for multilayered neural networks using qualitative knowledge. - Hiroshi Narazaki; Anca L. Ralescu (IEEE Trans. Fuzzy Syst., 1993)

Object Recognition Based on Pattern Features. - Weijing Zhang; Anca L. Ralescu (IPMU, 1994)

An alternative method for inducing a membership function of a category. - Hiroshi Narazaki; Anca L. Ralescu (Int. J. Approx. Reason., 1994)

Iterative Induction of a Category Membership Function. - Hiroshi Narazaki; Anca L. Ralescu (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1994)

Structure Cognition from Images. - Anca L. Ralescu; James G. Shanahan (Fuzzy Logic in Artificial Intelligence, 1995)

Adapting Query Representation to Improve Retrieval in a fuzzy Database. - Jorge Gasós; Anca L. Ralescu (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1995)

Improved Retrieval in a Fuzzy Database from Adjusted User Input. - S. Fukushima; Anca L. Ralescu (J. Intell. Inf. Syst., 1995)

Editorial. - Anca L. Ralescu; James G. Shanahan (Fuzzy Sets Syst., 1996)

Evaluation of Fuzzy Quantified Expressions. - Anca L. Ralescu; Dan A. Ralescu; Kaoru Hirota (Fuzzy Logic in Artificial Intelligence (IJCAI Workshop), 1997)

Using imprecise environment information for guiding scene interpretation. - Jorge Gasós; Anca L. Ralescu (Fuzzy Sets Syst., 1997)

Extensions of fuzzy aggregation. - Anca L. Ralescu; Dan A. Ralescu (Fuzzy Sets Syst., 1997)

Fuzzy Modeling based Approach to Facial Expressions Understanding. - Anca L. Ralescu; Riad Hartani (J. Adv. Comput. Intell. Intell. Informatics, 1997)

Perceptual organization for inferring object boundaries in an image1. - Anca L. Ralescu; James G. Shanahan (Pattern Recognit., 1999)

A Comparative Study of Classifiers on a Real Data Set. - Sofia Visa; Anca L. Ralescu (IFSA, 2003)

Piecewise Linear Separability using Support Vector Machines. - Rinako Kamei; Anca L. Ralescu (MAICS, 2003)

Context-based Correlation for Supervised Learning. - Waibhav Tembe; Anca L. Ralescu (MAICS, 2003)

Directional relative position between objects in image processing: a comparison between fuzzy approaches. - Isabelle Bloch; Anca L. Ralescu (Pattern Recognit., 2003)

A road map of knowledge management for network security and roles of soft computing. - Atsushi Inoue; Anca L. Ralescu (FUZZ-IEEE, 2004)

Fuzzy hamming distance in a content-based image retrieval system. - Mircea M. Ionescu; Anca L. Ralescu (FUZZ-IEEE, 2004)

Fuzzy algorithm for contextual character recognition. - Waibhav Tembe; Anca L. Ralescu (FUZZ-IEEE, 2004)

A fuzzy classifier for imbalanced and noisy data. - Sofia Visa; Anca L. Ralescu (FUZZ-IEEE, 2004)

The Impact of Image Partition Granularity Using Fuzzy Hamming Distance as Image Similarity Measure. - Mircea M. Ionescu; Anca L. Ralescu (MAICS, 2004)

Directional Position of Objects in Image Understanding - a fuzzy landscape approach. - Prasanna Karunanayaka; Anca L. Ralescu (MAICS, 2004)

A Context-Dependent Metric for Similarity-Application to Supervised Learning of Handwritten Characters. - Waibhav Tembe; Anca L. Ralescu (MAICS, 2004)

Sifting the Local margins - An Iterative Empirical Classification Scheme. - Dan Vance; Anca L. Ralescu (MAICS, 2004)

Experiments in Guided Class Rebalance Based on Class Structure. - Sofia Visa; Anca L. Ralescu (MAICS, 2004)

Sifting the Margin - An Iterative Empirical Classification Scheme. - Dan Vance; Anca L. Ralescu (PRICAI, 2004)

Extending the Margin Algorithm. - Dan Vance; Anca L. Ralescu (CIMCA/IAWTIC, 2005)

Fuzzy Hamming Distance Based Banknote Validator. - Mircea M. Ionescu; Anca L. Ralescu (FUZZ-IEEE, 2005)

The Effect of Imbalanced Data Class Distribution on Fuzzy Classifiers - Experimental Study. - Sofia Visa; Anca L. Ralescu (FUZZ-IEEE, 2005)

Fuzzy Subspace Clustering Algorithm and Applications to Blind Signal Separation. - Pando G. Georgiev; Anca L. Ralescu; Dan A. Ralescu (FUZZ-IEEE, 2006)

Multidimensional Conceptual Spaces for Summarization. - Mircea M. Ionescu; Anca L. Ralescu (FUZZ-IEEE, 2006)

On the Relation between Bayes and Fuzzy Classifiers. - Sofia Visa; Anca L. Ralescu (FUZZ-IEEE, 2006)

Sparse Deflations in Blind Signal Separation. - Pando G. Georgiev; Danielle Nuzillard; Anca L. Ralescu (ICA, 2006)

Hyperplane algorithm - first step of the paired planes classification procedure. - Dan Vance; Anca L. Ralescu (Artificial Intelligence and Applications, 2007)

Measuring Proximity between Heterogeneous Data. - Anca L. Ralescu; Michihiko Minoh (FUZZ-IEEE, 2007)

Identifiability Conditions and Subspace Clustering in Sparse BSS. - Pando G. Georgiev; Fabian J. Theis; Anca L. Ralescu (ICA, 2007)

Inference by aggregation of evidence with applications to fuzzy probabilities. - Anca L. Ralescu; Dan A. Ralescu; Yoko Yamakata (Inf. Sci., 2007)

Fuzzy sets in concept representation using conceptual spaces. - Anca L. Ralescu; T. Ishino; Michihiko Minoh (FUZZ-IEEE, 2008)

Clustering of Spectral Patterns Based on EMD Components of EEG Channels with Applications to Neurophysiological Signals Separation. - Tomasz M. Rutkowski; Andrzej Cichocki; Toshihisa Tanaka 001; Anca L. Ralescu; Danilo P. Mandic (ICONIP (1), 2008)

Data-driven fuzzy sets for classification. - Sofia Visa; Anca L. Ralescu (Int. J. Adv. Intell. Paradigms, 2008)

Multichannel spectral pattern separation - An EEG processing application -. - Tomasz M. Rutkowski; Andrzej Cichocki; Toshihisa Tanaka 001; Danilo P. Mandic; Jianting Cao; Anca L. Ralescu (ICASSP, 2009)

Curve Profiling Feature: Novel Compact Representation for Drosophila Embryonic Gene Expression Pattern Mining. - Chunsheng Fang; Minlu Zhang; Anca L. Ralescu; Jason L. Lu (ICDM Workshops, 2010)

A Stochastic Treatment of Similarity. - Anca L. Ralescu; Sofia Visa; Stefana Popovici (IPMU, 2010)

Fuzzy classifier for classification of medical data. - Aida Ali; Siti Mariyam Shamsuddin; Anca L. Ralescu; Sofia Visa (HIS, 2011)

A Study of Query-Based Dimensionality Reduction. - Augustine S. Nsang; Anca L. Ralescu (MAICS, 2011)

Confusion Matrix-based Feature Selection. - Sofia Visa; Brian Ramsay; Anca L. Ralescu; Esther van der Knaap (MAICS, 2011)

Fuzzy Classifiers - Opportunities and Challenges -. - Anca L. Ralescu; Sofia Visa (SUM, 2011)

Spectral Regression with Low-Rank Approximation for Dynamic Graph Link Prediction. - Chunsheng Fang; Anca L. Ralescu; Mojtaba Kohram (IEEE Intell. Syst., 2011)

Preservation of structural properties in anonymized social networks. - Traian Marius Truta; Alina Campan; Anca L. Ralescu (CollaborateCom, 2012)

Hybrid intelligent systems in survival prediction of breast cancer. - Aida Ali; Siti Mariyam Shamsuddin; Anca L. Ralescu (HIS, 2012)

Privacy Issues in Social Networks: A Brief Survey. - Irene Díaz; Anca L. Ralescu (IPMU (4), 2012)

A Pairwise Distance View of Cluster Validity. - Mohammad Rawashdeh; Anca L. Ralescu (IPMU (1), 2012)

Fuzzy Cluster Validity with Generalized Silhouettes. - Mohammad Rawashdeh; Anca L. Ralescu (MAICS, 2012)

Center-Wise Intra-Inter Silhouettes. - Mohammad Rawashdeh; Anca L. Ralescu (SUM, 2012)

Olfaction recognition by EEG analysis using differential evolution induced Hopfield neural net. - Anuradha Saha; Amit Konar; Pratyusha Rakshit; Anca L. Ralescu; Atulya K. Nagar (IJCNN, 2013)

Massive training in artificial immune recognition algorithm for enhancement of lung CT scans. - See Pheng Hang; Siti Mariyam Shamsuddin; Anca L. Ralescu (SoCPaR, 2013)

Geometrical feature based ranking using grey relational analysis (GRA) for writer identification. - Intan Ermahani A. Jalil; Azah Kamilah Muda; Siti Mariyam Shamsuddin; Anca L. Ralescu (SoCPaR, 2013)

Higher order geometrical image features representation for action recognition. - Nilam Nur Amir Sjarif; Siti Zaiton Mohd Hashim; Siti Mariyam Shamsuddin; Anca L. Ralescu (SoCPaR, 2013)

On the Combinality of Evidence in the Dempster-Shafer Theory - Lotfi A. Zadeh; Anca L. Ralescu (CoRR, 2013)

Measures of Semantic Similarity of Nodes in a Social Network. - Ahmad Rawashdeh; Mohammad Rawashdeh; Irene Díaz; Anca L. Ralescu (IPMU (2), 2014)

Developing a Machine Learning Approach to Controlling Musical Synthesizer Parameters in Real-Time Live Performance. - Nathan Sommer; Anca L. Ralescu (MAICS, 2014)

A dynamic P300-based BCI speller using a language model. - Anca L. Ralescu; Mengxia Wang; Shikha Chaganti; Qiang Han (Int. J. Adv. Intell. Paradigms, 2014)

Algorithm for faster computation of non-zero graph based invariants. - Vazeerudeen Abdul Hameed; Siti Mariyam Shamsuddin; Maslina Darus; Anca L. Ralescu (Neurocomputing, 2014)

EEG Analysis for Olfactory Perceptual-Ability Measurement Using a Recurrent Neural Classifier. - Anuradha Saha; Amit Konar; Amita Chatterjee; Anca L. Ralescu; Atulya K. Nagar (IEEE Trans. Hum. Mach. Syst., 2014)

Preliminary Study Towards a Fuzzy Model for Visual Attention. - Anca L. Ralescu; Isabelle Bloch; Roberto M. Cesar (FLinAI@IJCAI, 2015)

Similarity Measure for Social Networks - A Brief Survey. - Ahmad Rawashdeh; Anca L. Ralescu (MAICS, 2015)

Characterization of a Class of Possibility Distributions. - Dan A. Ralescu; Anca L. Ralescu (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2015)

A classification algorithm based on geometric and statistical information. - Anca L. Ralescu; Irene Díaz; Luis J. Rodríguez-Muñiz (J. Comput. Appl. Math., 2015)

A Fast Algorithm to Compute Precise Type-2 Centroids for Real-Time Control Applications. - Sumantra Chakraborty; Amit Konar; Anca L. Ralescu; Nikhil R. Pal (IEEE Trans. Cybern., 2015)

Extending the Nelder-Mead algorithm for feature selection from brain networks. - Reshma Kar; Amit Konar; Aruna Chakraborty; Anca L. Ralescu; Atulya K. Nagar (CEC, 2016)

A type-2 fuzzy approach towards cognitive load detection using fNIRS signals. - Mainak Dan; Anuradha Saha; Amit Konar; Anca L. Ralescu; Atulya K. Nagar (FUZZ-IEEE, 2016)

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 (IJCNN, 2016)

A Study of Android Malware Detection Techniques and Machine Learning. - Balaji Baskaran; Anca L. Ralescu (MAICS, 2016)

Extended Pixel Representation for Image Segmentation. - Deeptha Girish; Vineeta Singh; Anca L. Ralescu (MAICS, 2016)

Preface to Fuzzy Logic in AI. - Anca L. Ralescu (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2016)

Cognitive load classification in learning tasks from hemodynamic responses using type-2 fuzzy sets. - Amiyangshu De; Amit Konar; Amalesh Samanta; Souvik Biswas; Anca L. Ralescu; Atulya K. Nagar (FUZZ-IEEE, 2017)

EEG induced working memory performance analysis using inverse fuzzy relational approach. - Lidia Ghosh; Amit Konar; Pratyusha Rakshit; Anca L. Ralescu; Atulya K. Nagar (FUZZ-IEEE, 2017)

Preliminary study on an improved weight updating for fuzzy c-means with applications to image segmentation. - Deeptha Girish; Vineeta Singh; Anca L. Ralescu (IFSA-SCIS, 2017)

Dynamic timetable scheduling with reverse-flow technique in fuzzy environment. - Yanan Zhang; Zhaopeng Meng; Anca L. Ralescu (IFSA-SCIS, 2017)

Is there a place for Machine Learning in Law? - Stephan Ralescu; Anca L. Ralescu (MAICS, 2017)

Image Understanding - a Brief Review of Scene Classification and Recognition. - Vineeta Singh; Deeptha Girish; Anca L. Ralescu (MAICS, 2017)

Implementation of gesture driven virtual reality for car racing game using back propagation neural network. - Sriparna Saha 002; Rimita Lahiri; Amit Konar; Anca L. Ralescu; Atulya K. Nagar (SSCI, 2017)

A type-2 fuzzy set induced classification of cognitive load in inter-individual working memory performance based on hemodynamic response. - Amiyangshu De; Tanuka Bhattacharjee; Amit Konar; Anca L. Ralescu; Atulya K. Nagar (SSCI, 2017)

EEG analysis for short term memory modeling in visually explored shape recognition tasks. - Lidia Ghosh; Amit Konar; Pratyusha Rakshit; Anca L. Ralescu; Atulya K. Nagar (SSCI, 2017)

Confusion-Matrix-Based Kernel Logistic Regression for Imbalanced Data Classification. - Miho Ohsaki; Peng Wang; Kenji Matsuda; Shigeru Katagiri; Hideyuki Watanabe; Anca L. Ralescu (IEEE Trans. Knowl. Data Eng., 2017)

P-300 and N-400 Induced Decoding of Learning-Skill of Driving Learners Using Type-2 Fuzzy Sets. - Lidia Ghosh; Amit Konar; Pratyusha Rakshit; Sricheta Parui; Anca L. Ralescu; Atulya K. Nagar (FUZZ-IEEE, 2018)

adaptive hierarchical sliding mode control based on fuzzy neural network for an underactuated system. - Xiaorong Huang; Anca L. Ralescu; Hongli Gao; Juan Wen (FUZZ-IEEE, 2018)

Hemodynamic Response Analysis for Mind-Driven Type-writing using a Type 2 Fuzzy Classifier. - Mousumi Laha; Amit Konar; Pratyusha Rakshit; Lidia Ghosh; Susmita Chaki; Anca L. Ralescu; Atulya K. Nagar (FUZZ-IEEE, 2018)

Unsupervised clustering based understanding of CNN. - Deeptha Girish; Vineeta Singh; Anca L. Ralescu (CVPR Workshops, 2019)

Schedule optimization under fuzzy constraints of vehicle capacity. - Yanan Zhang; Zhaopeng Meng; Yan Zheng 002; Anca L. Ralescu (Fuzzy Optim. Decis. Mak., 2019)

A survey on the application of fuzzy systems for underactuated systems. - Xiaorong Huang; Anca L. Ralescu; Hongli Gao; Haibo Huang (J. Syst. Control. Eng., 2019)

Gold Standard for Epilepsy/Tumor Surgery Coupled with Deep Learning Offers Independence to a Promising Functional Mapping Modality. - 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 001; M. Elsayed; et al. (Brain-Computer Interface Research (7), 2019)

Understanding action recognition in still images. - Deeptha Girish; Vineeta Singh; Anca L. Ralescu (CVPR Workshops, 2020)

Taking a Close Look at Twitter Communities and Clusters. - Kowshik Bhowmik; Anca L. Ralescu (MDIS, 2020)

Context for API Calls in Malware vs Benign Programs. - Monika Chandrasekaran; Anca L. Ralescu; David Kapp; Temesguen Messay Kebede (MDIS, 2020)

Semantic Feature Discovery of Trojan Malware using Vector Space Kernels. - John Musgrave; Carla Purdy; Anca L. Ralescu; David Kapp; Temesgen Kebede (MWSCAS, 2020)

Fuzzy dynamic timetable scheduling for public transit. - Yanan Zhang; Qinghua Hu; Zhaopeng Meng; Anca L. Ralescu (Fuzzy Sets Syst., 2020)

Occlusion detection and processing using optical flow and particle filter. - Wesam A. Askar; Osama Elmowafy; Anca L. Ralescu; Aliaa A. A. Youssif; Gamal A. Elnashar (Int. J. Adv. Intell. Paradigms, 2020)

The dilemma phenomenon, logistics for monetary independence policy and foreign exchange reserves. - Yu Mei; Zhang Kun; Anca L. Ralescu (Soft Comput., 2020)

Why Cauchy Membership Functions: Efficiency. - Javier Viaña; Stephan Ralescu; Kelly Cohen; Vladik Kreinovich; Anca L. Ralescu (Adv. Artif. Intell. Mach. Learn., 2021)

Abstract Models for Systems Identification. - Dan A. Ralescu; Anca L. Ralescu (Fuzzy Approaches for Soft Computing and Approximate Reasoning, 2021)

Leveraging Vector Space Similarity for Learning Cross-Lingual Word Embeddings: A Systematic Review. - Kowshik Bhowmik; Anca L. Ralescu (Digit., 2021)

Learning Generalized Hybrid Proximity Representation for Image Recognition. - Zhiyuan Li 011; Anca L. Ralescu (ICTAI, 2022)

Bridging the Resource Gap in Cross-Lingual Embedding Space. - Kowshik Bhowmik; Anca L. Ralescu (MDIS, 2022)

Latent Semantic Structure in Malicious Programs. - John Musgrave; Temesguen Messay Kebede; David Kapp; Anca L. Ralescu (MDIS, 2022)

Why Sine Membership Functions. - Sofia Holguin; Javier Viaña; Kelly Cohen; Anca L. Ralescu; Vladik Kreinovich (NAFIPS, 2022)

Single Hidden Layer CEFYDRA: Cluster-first Explainable FuzzY-based Deep self-Reorganizing Algorithm. - Javier Viaña; Stephan Ralescu; Vladik Kreinovich; Anca L. Ralescu; Kelly Cohen (NAFIPS, 2022)

Multiple Hidden Layered CEFYDRA: Cluster-First Explainable Fuzzy-Based Deep Self-reorganizing Algorithm. - Javier Viaña; Stephan Ralescu; Vladik Kreinovich; Anca L. Ralescu; Kelly Cohen (NAFIPS, 2022)

Initialization and Plasticity of CEFYDRA: Cluster-first Explainable FuzzY-based Deep self-Reorganizing Algorithm. - Javier Viaña; Stephan Ralescu; Vladik Kreinovich; Anca L. Ralescu; Kelly Cohen (NAFIPS, 2022)

Why Cauchy Membership Functions: Reliability. - Javier Viaña; Stephan Ralescu; Kelly Cohen; Vladik Kreinovich; Anca L. Ralescu (Adv. Artif. Intell. Mach. Learn., 2022)

Empirical Network Structure of Malicious Programs. - John Musgrave; Alina Campan; Temesguen Messay Kebede; David Kapp; Anca L. Ralescu (CoRR, 2022)

A Novel Feature Representation for Malware Classification. - John Musgrave; Temesguen Messay Kebede; David Kapp; Anca L. Ralescu (CoRR, 2022)

Non-Fragile Observer-Based Adaptive Integral Sliding Mode Control for a Class of T-S Fuzzy Descriptor Systems With Unmeasurable Premise Variables. - Xiaorong Huang; Anca L. Ralescu; Yiqiang Peng; Hongli Gao; Shulei Sun (Frontiers Neurorobotics, 2022)

Clustering of Monolingual Embedding Spaces. - Kowshik Bhowmik; Anca L. Ralescu (Digit., 2022)

Extension to Multidimensional Problems of a Fuzzy-Based Explainable and Noise-Resilient Algorithm. - Javier Viaña; Stephan Ralescu; Kelly Cohen; Anca L. Ralescu; Vladik Kreinovich (Decision Making Under Uncertainty and Constraints, 2023)

Learning Empirical Bregman Divergence for Uncertain Distance Representation. - Zhiyuan Li 011; Ziru Liu; Anna Zou; Anca L. Ralescu (FUSION, 2023)

EvilELF: Evasion Attacks on Deep-Learning Malware Detection over ELF Files. - Andrew Kosikowski; Daniel Cho; Mabon Ninan; Anca L. Ralescu; Boyang Wang (ICMLA, 2023)

A Note on Plant Virus Images for Use in Machine Learning. - Senuka D. Abeysinghe; Sarfaraz Ahmed Mohammed; Anca L. Ralescu (Adv. Artif. Intell. Mach. Learn., 2023)

Feature Selection and Comparative Analysis of Breast Cancer Prediction Using Clinical Data and Histopathological Whole Slide Images. - Sarfaraz Ahmed Mohammed; Senuka D. Abeysinghe; Anca L. Ralescu (Adv. Artif. Intell. Mach. Learn., 2023)

Hybrid Vehicle Timetable Scheduling Under Fuzzy Decision Making. - Yanan Zhang; Yiying Zhang; Anca L. Ralescu (Adv. Artif. Intell. Mach. Learn., 2023)

Semantic Segmentation of Porosity in 4D Spatio-Temporal X-ray μCT of Titanium Coated Ni wires using Deep Learning. - Pradyumna Elavarthi; Arun Bhattacharjee; Anca L. Ralescu; Ashley Paz y Puente (CoRR, 2023)

On the ability of CNNs to extract color invariant intensity based features for image classification. - Pradyumna Elavarthi; James Lee; Anca L. Ralescu (CoRR, 2023)

Generalized self-supervised contrastive learning with bregman divergence for image recognition. - Zhiyuan Li 011; Anca L. Ralescu (Pattern Recognit. Lett., 2023)

Future Internet Architectures on an Emerging Scale - A Systematic Review. - Sarfaraz Ahmed Mohammed; Anca L. Ralescu (Future Internet, 2023)

A novel collaborative self-supervised learning method for radiomic data. - Zhiyuan Li 011; Hailong Li; Anca L. Ralescu; Jonathan R. Dillman; Nehal A. Parikh; Lili He 003 (NeuroImage, 2023)

Detection of malicious PE files using synthesized DNA artifacts. - Sunday Cosmos Ngwobia; Anca L. Ralescu; David Kapp; Temesgen Kebede (Comput. Secur., 2023)

A Contour-Based Feature Extraction Algorithm. - Wenjiao Liua; Anca L. Ralescu (Adv. Artif. Intell. Mach. Learn., 2024)

Joint self-supervised and supervised contrastive learning for multimodal MRI data: Towards predicting abnormal neurodevelopment. - Zhiyuan Li 011; Hailong Li; Anca L. Ralescu; Jonathan R. Dillman; Mekibib Altaye; Kim M. Cecil; Nehal A. Parikh; Lili He 003 (Artif. Intell. Medicine, 2024)

kNN Classification of Malware Data Dependency Graph Features. - John Musgrave; Anca L. Ralescu (CoRR, 2024)

Using fractal dimension to predict the risk of intra cranial aneurysm rupture with machine learning. - Pradyumna Elavarthi; Anca L. Ralescu; Mark D. Johnson; Charles J. Prestigiacomo (CoRR, 2024)

Insights into Image Understanding: Segmentation Methods for Object Recognition and Scene Classification. - Sarfaraz Ahmed Mohammed; Anca L. Ralescu (Algorithms, 2024)

Improving CNN Robustness to Color Shifts via Color Balancing and Spatial Dropout. - Pradyumna Elavarthi; Anca L. Ralescu (Adv. Artif. Intell. Mach. Learn., 2025)

Advanced HOG Research: Multi-Scale Partitioning HOG Algorithm. - Wenjiao Liua; Anca L. Ralescu (IEEE Access, 2025)