Logic of Knowledge and Belief in the Design of an Integrity Kernel for an Office Information System (Abstract). - James F. Peters; Sheela Ramanna; Elizabeth A. Unger (ACM Conference on Computer Science, 1990)

Designing a dynamic integrity constraint checker with nonmonotonic logic. - Sheela Ramanna; James F. Peters; Elizabeth A. Unger; K. W. Glander (COMPSAC, 1990)

Design of Knowiedge-Based Integrity Systems with ISL++. - James F. Peters; Sheela Ramanna; Elizabeth A. Unger (SEKE, 1990)

Logical Design of Neural controllers. - James F. Peters; Luis Baumela; Darío Maravall; Sheela Ramanna (AIRTC, 1994)

Approximate Time Rough Control: Concepts and Application to Satellite Attitude Control. - James F. Peters; K. Ziaei; Sheela Ramanna (Rough Sets and Current Trends in Computing, 1998)

Non-Cartesian robotics and evolution of atomic competences: concepts, classification and population fitness. - James F. Peters; Sheela Ramanna; T. Gomi (SMC, 1998)

Evolution of competing situated robots: concepts and experiments with a Java applet. - James F. Peters; J. Wong; Sheela Ramanna; Sylvanus A. Ehikioya (SMC, 1998)

Adaptive fuzzy rough approximate time controller design methodology: concepts, Petri net model and application. - James F. Peters; K. Ziaei; Sheela Ramanna; Sylvanus A. Ehikioya (SMC, 1998)

Approximate Time Rough Software Cost Decision System: multicriteria Decision-Making Approach. - James F. Peters; Liting Han; Sheela Ramanna (ISMIS, 1999)

Classifying Faults in High Voltage Power Systems: A Rough-Fuzzy Neural Computational Approach. - Liting Han; James F. Peters; Sheela Ramanna; R. Zhai (RSFDGrC, 1999)

Approximate real-time decision making: Concepts and rough fuzzy Petri net models. - James F. Peters; Andrzej Skowron; Zbigniew Suraj; Witold Pedrycz; Sheela Ramanna (Int. J. Intell. Syst., 1999)

Design of Rough Neurons: Rough Set Foundation and Petri Net Model. - James F. Peters; Andrzej Skowron; Zbigniew Suraj; Liting Han; Sheela Ramanna (ISMIS, 2000)

Towards Rough Neural Computing Based on Rough Membership Functions: Theory and Application. - James F. Peters; Andrzej Skowron; Liting Han; Sheela Ramanna (Rough Sets and Current Trends in Computing, 2000)

Rough Measures and Integrals: A Brief Introduction. - Zdzislaw Pawlak; James F. Peters; Andrzej Skowron; Zbigniew Suraj; Sheela Ramanna; Maciej Borkowski (JSAI Workshops, 2001)

Wireless Agent Guidance of Remote Mobile Robots: Rough Integral Approach to Sensor Signal Analysis. - James F. Peters; Sheela Ramanna; Andrzej Skowron; Maciej Borkowski (Web Intelligence, 2001)

Rough Neural Computing in Signal Analysis. - James F. Peters; Liting Han; Sheela Ramanna (Comput. Intell., 2001)

Sensor, Filter, and Fusion Models with Rough Petri Nets. - James F. Peters; Sheela Ramanna; Maciej Borkowski; Andrzej Skowron; Zbigniew Suraj (Fundam. Informaticae, 2001)

Calibration of software quality: Fuzzy neural and rough neural computing approaches. - Witold Pedrycz; Liting Han; James F. Peters; Sheela Ramanna; R. Zhai (Neurocomputing, 2001)

Software Quality Knowledge Discovery: A Rough Set Approach. - Sheela Ramanna; James F. Peters; Tae-Chon Ahn (COMPSAC, 2002)

Rough Neural Network for Software Change Prediction. - Sheela Ramanna (Rough Sets and Current Trends in Computing, 2002)

Towards an Ontology of Approximate Reason. - James F. Peters; Andrzej Skowron; Jaroslaw Stepaniuk; Sheela Ramanna (Fundam. Informaticae, 2002)

Rough Sets and Information Granulation. - James F. Peters; Andrzej Skowron; Piotr Synak; Sheela Ramanna (IFSA, 2003)

Adaptive Granular Control of an HVDC System: A Rough Set Approach. - James F. Peters; H. Feng; Sheela Ramanna (RSFDGrC, 2003)

Towards a Line-Crawling Robot Obstacle Classification System: A Rough Set Approach. - James F. Peters; Sheela Ramanna; Marcin S. Szczuka (RSFDGrC, 2003)

Classification of meteorological volumetric radar data using rough set methods. - James F. Peters; Zbigniew Suraj; S. Shan; Sheela Ramanna; Witold Pedrycz; Nicolino J. Pizzi (Pattern Recognit. Lett., 2003)

Towards a Software Change Classification System: A Rough Set Approach. - James F. Peters; Sheela Ramanna (Softw. Qual. J., 2003)

Measuring Acceptance of Intelligent System Models. - James F. Peters; Sheela Ramanna (KES, 2004)

Classification of Swallowing Sound Signals: A Rough Set Approach. - Lisa Lazareck; Sheela Ramanna (Rough Sets and Current Trends in Computing, 2004)

Approximation Space for Software Models. - James F. Peters; Sheela Ramanna (Trans. Rough Sets, 2004)

Rough Neurons: Petri Net Models and Applications. - James F. Peters; Sheela Ramanna; Zbigniew Suraj; Maciej Borkowski (Rough-Neural Computing: Techniques for Computing with Words, 2004)

Monte Carlo Off-Policy Reinforcement Learning: A Rough Set Approach. - James F. Peters; Daniel Lockery; Sheela Ramanna (HIS, 2005)

Reinforcement Learning with Pattern-based Rewards. - James F. Peters; Christopher J. Henry; Sheela Ramanna (Computational Intelligence, 2005)

Reinforcement Learning in Swarms that Learn. - James F. Peters; Christopher J. Henry; Sheela Ramanna (IAT, 2005)

Rough Ethograms: Study of Intelligent System Behavior. - James F. Peters; Christopher J. Henry; Sheela Ramanna (Intelligent Information Systems, 2005)

Brain Signals: Feature Extraction and Classification Using Rough Set Methods. - Reza Fazel-Rezai; Sheela Ramanna (RSFDGrC (2), 2005)

Generalized Conflict and Resolution Model with Approximation Spaces. - Sheela Ramanna; James F. Peters; Andrzej Skowron (RSCTC, 2006)

Conflict Analysis and Information Systems: A Rough Set Approach. - Andrzej Skowron; Sheela Ramanna; James F. Peters (RSKT, 2006)

P300 Wave Detection Based on Rough Sets. - Sheela Ramanna; Reza Fazel-Rezai (Trans. Rough Sets, 2006)

Feature Selection: Near Set Approach. - James F. Peters; Sheela Ramanna (MCD, 2007)

Biologically-Inspired Adaptive Learning: A Near Set Approach. - James F. Peters; Shabnam Shahfar; Sheela Ramanna; Tony Szturm (FBIT, 2007)

Requiremnents Interaction an Conflicts A Rough Set Approach. - Sheela Ramanna; Andrzej Skowron (FOCI, 2007)

Software Defect Classification: A Comparative Study with Rough Hybrid Approaches. - Sheela Ramanna; Rajen Bhatt; Piotr Biernot (RSEISP, 2007)

A Rough-Hybrid Approach to Software Defect Classification. - Sheela Ramanna; Rajen Bhatt; Piotr Biernot (RSFDGrC, 2007)

Approximation Space-Based Socio-Technical Conflict Model. - Sheela Ramanna; Andrzej Skowron; James F. Peters (RSKT, 2007)

Approaches to Conflict Dynamics Based on Rough Sets. - Sheela Ramanna; James F. Peters; Andrzej Skowron (Fundam. Informaticae, 2007)

Capacity-Based Definite Rough Integral and Its Application. - Puntip Pattaraintakorn; James F. Peters; Sheela Ramanna (ICMMI, 2009)

Tolerance Classes in Measuring Image Resemblance. - Amir H. Meghdadi; James F. Peters; Sheela Ramanna (KES (2), 2009)

Measuring Resemblances Between Swarm Behaviours: A Perceptual Tolerance Near Set Approach. - Sheela Ramanna; Amir H. Meghdadi (Fundam. Informaticae, 2009)

Affinities between Perceptual Granules: Foundations and Perspectives. - James F. Peters; Sheela Ramanna (Human-Centric Information Processing Through Granular Modelling, 2009)

Perceptually Near Pawlak Partitions. - Sheela Ramanna (Trans. Rough Sets, 2010)

Wireless Adaptive Therapeutic TeleGaming in a Pervasive Computing Environment. - James F. Peters; Tony Szturm; Maciej Borkowski; Daniel Lockery; Sheela Ramanna; Barbara L. Shay (Pervasive Computing, Innovations in Intelligent Multimedia and Applications, 2010)

Content-Based Image Authentication Framework with Semi-fragile Hybrid Watermark Scheme. - Buddhika Madduma; Sheela Ramanna (ICMMI, 2011)

Parallel Computation in Finding Near Neighbourhoods. - Christopher J. Henry; Sheela Ramanna (RSKT, 2011)

Analysing Effect of Database Grouping on Multi-Database Mining. - Animesh Adhikari; Lakhmi C. Jain; Sheela Ramanna (IEEE Intell. Informatics Bull., 2011)

Nature-inspired framework for measuring visual image resemblance: A near rough set approach. - Sheela Ramanna; Amir H. Meghdadi; James F. Peters (Theor. Comput. Sci., 2011)

Store-and-Feedforward Adaptive Gaming System for Hand-Finger Motion Tracking in Telerehabilitation. - Daniel Lockery; James F. Peters; Sheela Ramanna; Barbara L. Shay; Tony Szturm (IEEE Trans. Inf. Technol. Biomed., 2011)

Perceptual Tolerance Intersection. - Piotr Wasilewski; James F. Peters; Sheela Ramanna (Trans. Rough Sets, 2011)

Associated Near Sets of Merotopies. - James F. Peters; Sheela Ramanna (IPMU (1), 2012)

Image retrieval based on high level concept detection and semantic labelling. - Buddhika Madduma; Sheela Ramanna (Intell. Decis. Technol., 2012)

Determining trust in media-rich websites using semantic similarity. - Pradeep K. Atrey; Hicham Ibrahim; M. Anwar Hossain 001; Sheela Ramanna; Abdulmotaleb El-Saddik (Multim. Tools Appl., 2012)

Reasoning with Near Set-Based Digital Image Flow Graphs. - James F. Peters; Doungrat Chitcharoen; Sheela Ramanna (MIWAI, 2013)

GPU Implementation of MCE Approach to Finding Near Neighbourhoods. - Tariq Alusaifeer; Sheela Ramanna; Christopher J. Henry; James F. Peters (RSKT, 2013)

Quantifying Nearness in Visual Spaces. - Christopher J. Henry; Sheela Ramanna; Daniel Levy (Cybern. Syst., 2013)

Preface. - Zhihua Cui; Sheela Ramanna; James F. Peters; Sankar K. Pal (Fundam. Informaticae, 2013)

Treasure Trove at Banacha. Set Patterns in Descriptive Proximity Spaces. - James F. Peters; Sheela Ramanna (Fundam. Informaticae, 2013)

Signature-based Perceptual Nearness: Application of Near Sets to Image Retrieval. - Christopher J. Henry; Sheela Ramanna (Math. Comput. Sci., 2013)

Flow Graphs: Analysis with Near Sets. - Sheela Ramanna; Doungrat Chitcharoen (Math. Comput. Sci., 2013)

Maximal Clique Enumeration in Finding Near Neighbourhoods. - Christopher J. Henry; Sheela Ramanna (Trans. Rough Sets, 2013)

A Semi-supervised Learning Algorithm for Web Information Extraction with Tolerance Rough Sets. - Cenker Sengoz; Sheela Ramanna (AMT, 2014)

Solar flare detection system based on tolerance near sets in a GPU-CUDA framework. - Gustavo Poli; E. Llapa; J. R. Cecatto; José Hiroki Saito; James F. Peters; Sheela Ramanna; Maria do Carmo Nicoletti (Knowl. Based Syst., 2014)

Learning relational facts from the web: A tolerance rough set approach. - Cenker Sengoz; Sheela Ramanna (Pattern Recognit. Lett., 2015)

Tolerance-Based Approach to Audio Signal Classification. - Sheela Ramanna; Ashmeet Singh (Canadian AI, 2016)

Maximal Nucleus Clusters in Pawlak Paintings. Nerves as approximating tools in Visual Arts. - James F. Peters; Sheela Ramanna (FedCSIS, 2016)

Measuring the nearness of layered flow graphs: Application to Content Based Image Retrieval. - Kanwarpreet Kaur; Sheela Ramanna; Christopher J. Henry (Intell. Decis. Technol., 2016)

Proximal three-way decisions: Theory and applications in social networks. - James F. Peters; Sheela Ramanna (Knowl. Based Syst., 2016)

Fuzzy Rough Set-Based Unstructured Text Categorization. - Aditya Bharadwaj; Sheela Ramanna (Canadian AI, 2017)

Detecting Overlapping Communities in Social Networks with Voronoi and Tolerance Rough Sets. - Kushagra Trivedi; Sheela Ramanna (IEA/AIE, 2018)

Tolerance Methods in Graph Clustering: Application to Community Detection in Social Networks. - Vahid Kardan; Sheela Ramanna (IJCSR, 2018)

Descriptive Proximities. Properties and Interplay Between Classical Proximities and Overlap. - Anna Di Concilio; C. Guadagni; James F. Peters; Sheela Ramanna (Math. Comput. Sci., 2018)

Shape Descriptions and Classes of Shapes. A Proximal Physical Geometry Approach. - James Francis Peters; Sheela Ramanna (Advances in Feature Selection for Data and Pattern Recognition, 2018)

Application of Tolerance Near Sets to Audio Signal Classification. - Ashmeet Singh; Sheela Ramanna (Advances in Feature Selection for Data and Pattern Recognition, 2018)

Granular methods in automatic music genre classification: a case study. - Arshia Sathya Ulaganathan; Sheela Ramanna (J. Intell. Inf. Syst., 2019)

Categorizing relational facts from the web with fuzzy rough sets. - Aditya Bharadwaj; Sheela Ramanna (Knowl. Inf. Syst., 2019)

Detecting Overlapping Communities Using Distributed Neighbourhood Threshold in Social Networks. - Rajesh Jaiswal; Sheela Ramanna (IJCRS, 2020)

Near real-time map building with multi-class image set labelling and classification of road conditions using convolutional neural networks. - Sheela Ramanna; Cenker Sengoz; Scott Kehler; Dat Pham (CoRR, 2020)

Topological View of Flows Inside the BOLD Spontaneous Activity of the Human Brain. - Arjuna P. H. Don; James F. Peters; Sheela Ramanna; Arturo Tozzi (Frontiers Comput. Neurosci., 2020)

A deep learning framework for land-use/land-cover mapping and analysis using multispectral satellite imagery. - Victor Alhassan; Christopher J. Henry; Sheela Ramanna; Christopher David Storie (Neural Comput. Appl., 2020)

Harvesting Patterns from Textual Web Sources with Tolerance Rough Sets. - Hoora Rezaei Moghaddam; Sheela Ramanna (Patterns, 2020)

Toward Efficient and Robust Deep Learning-based Malware Detection in Fog Computing. - Danila Morozovskii; Krunal Thummar; Talal Halabi; Sheela Ramanna (ISNCC, 2021)

Application of Granular Computing-Based Pre-processing in the Labelling of Phonemes. - Negin Ashrafi; Sheela Ramanna (KES-IDT, 2021)

Tolerance-Based Short Text Sentiment Classifier. - Vrushang Patel; Sheela Ramanna (IJCRS, 2021)

Near Real-time Map Building with Multi-class Image Set Labeling and Classification of Road Conditions Using Convolutional Neural Networks. - Sheela Ramanna; Cenker Sengoz; Scott Kehler; Dat Pham (Appl. Artif. Intell., 2021)

Polynomial degree reduction in the L2-norm on a symmetric interval for the canonical basis. - Habib Ben Abdallah; Christopher J. Henry; Sheela Ramanna (CoRR, 2021)

Detecting overlapping communities using ensemble-based distributed neighbourhood threshold method in social networks. - Rajesh Jaiswal; Sheela Ramanna (Intell. Decis. Technol., 2021)

Short Text Classification with Tolerance-Based Soft Computing Method. - Vrushang Patel; Sheela Ramanna; Ketan Kotecha; Rahee Walambe (Algorithms, 2022)

Cubical Homology-Based Machine Learning: An Application in Image Classification. - Seungho Choe; Sheela Ramanna (Axioms, 2022)

Using machine learning to improve neutron identification in water Cherenkov detectors. - Blair Jamieson; Matt Stubbs; Sheela Ramanna; John Walker; Nick Prouse; Ryosuke Akutsu; Patrick de Perio; Wojciech Fedorko (Frontiers Big Data, 2022)

Self-organizing map with granular competitive learning: Application to microarray clustering. - Avatharam Ganivada; Sheela Ramanna (Intell. Decis. Technol., 2022)

Multimodal Co-learning: Challenges, applications with datasets, recent advances and future directions. - Anil Rahate; Rahee Walambe; Sheela Ramanna; Ketan Kotecha (Inf. Fusion, 2022)

1-Dimensional Polynomial Neural Networks for audio signal related problems. - Habib Ben Abdallah; Christopher J. Henry; Sheela Ramanna (Knowl. Based Syst., 2022)

Fully automated 2D and 3D convolutional neural networks pipeline for video segmentation and myocardial infarction detection in echocardiography. - Oumaima Hamila; Sheela Ramanna; Christopher J. Henry; Serkan Kiranyaz; Ridha Hamila; Rashid Mazhar; Tahir Hamid (Multim. Tools Appl., 2022)

Named Entity Recognition on CORD-19 Bio-Medical Dataset with Tolerance Rough Sets. - Seeratpal Jaura; Sheela Ramanna (Trans. Rough Sets, 2022)

Impact of Vector Embeddings on the Performance of Tolerance Near Sets-based Sentiment Classifier for Text Classification. - Tejaswi Hegde; Kalyane Satyam Sanjay; Swetha Mary Thomas; Ranjana Kambhammettu; M. Anand Kumar; Sheela Ramanna (KES, 2023)

Machine Learning of polymer types from the spectral signature of Raman spectroscopy microplastics data. - Sheela Ramanna; Danila Morozovskii; Sam Swanson; Jennifer Bruneau (Adv. Artif. Intell. Mach. Learn., 2023)

Machine Learning Approaches to Improve North American Precipitation Forecasts. - Cenker Sengoz; Sheela Ramanna; Scott Kehler; Rushil Goomer; Paul Pries (IEEE Access, 2023)

Domain Adaptation: Challenges, Methods, Datasets, and Applications. - Peeyush Singhal; Rahee Walambe; Sheela Ramanna; Ketan Kotecha (IEEE Access, 2023)

Tolerance-based granular methods: Foundations and applications in natural language processing. - Sheela Ramanna (Intell. Decis. Technol., 2023)

Rare words in text summarization. - Danila Morozovskii; Sheela Ramanna (Nat. Lang. Process. J., 2023)

Rough-set based learning: Assessing patterns and predictability of anxiety, depression, and sleep scores associated with the use of cannabinoid-based medicine during COVID-19. - Sheela Ramanna; Negin Ashrafi; Evan Loster; Karen Debroni; Shelley Turner (Frontiers Artif. Intell., 2023)

Employing multimodal co-learning to evaluate the robustness of sensor fusion for industry 5.0 tasks. - Anil Rahate; Shruti Mandaokar; Pulkit Chandel; Rahee Walambe; Sheela Ramanna; Ketan Kotecha (Soft Comput., 2023)

Multimodal Propaganda Detection in Memes with Tolerance-Based Soft Computing Method. - Siddharth Kelkar; Srinivasa Ravi; Sheela Ramanna; Anand Kumar Madasamy (IJCRS (1), 2024)

Multimodal image fusion for the detection of diabetic retinopathy using optimized explainable AI-based Light GBM classifier. - Pooja Bidwai; Shilpa Gite; Natasha Pahuja; Kishore Pahuja; Ketan Kotecha; Neha Jain; Sheela Ramanna (Inf. Fusion, 2024)

Simple Histogram Equalization Technique Improves Performance of VGG Models on Facial Emotion Recognition Datasets. - Jaher Hassan Chowdhury; Qian Liu 015; Sheela Ramanna (Algorithms, 2024)

Plant species recognition with optimized 3D polynomial neural networks and variably overlapping time-coherent sliding window. - Habib Ben Abdallah; Christopher J. Henry; Sheela Ramanna (Multim. Tools Appl., 2024)