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2024
[j54]
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Jaher Hassan Chowdhury, Qian Liu, Sheela Ramanna:
Simple Histogram Equalization Technique Improves Performance of VGG Models on Facial Emotion Recognition Datasets. Algorithms 17(6): 238 (2024)
[j53]
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Pooja Bidwai, Shilpa Gite, Natasha Pahuja, Kishore Pahuja, Ketan Kotecha, Neha Jain, Sheela Ramanna:
Multimodal image fusion for the detection of diabetic retinopathy using optimized explainable AI-based Light GBM classifier. Inf. Fusion 111: 102526 (2024)
[j52]
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Habib Ben Abdallah, Christopher J. Henry, Sheela Ramanna:
Plant species recognition with optimized 3D polynomial neural networks and variably overlapping time-coherent sliding window. Multim. Tools Appl. 83(34): 80667-80700 (2024)
2023
[j51]
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Sheela Ramanna, Danila Morozovskii, Sam Swanson, Jennifer Bruneau:
Machine Learning of polymer types from the spectral signature of Raman spectroscopy microplastics data. Adv. Artif. Intell. Mach. Learn. 3(1): 647-668 (2023)
[j50]
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Peeyush Singhal, Rahee Walambe, Sheela Ramanna, Ketan Kotecha:
Domain Adaptation: Challenges, Methods, Datasets, and Applications. IEEE Access 11: 6973-7020 (2023)
[j49]
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Cenker Sengoz, Sheela Ramanna, Scott Kehler, Rushil Goomer, Paul Pries:
Machine Learning Approaches to Improve North American Precipitation Forecasts. IEEE Access 11: 97664-97681 (2023)
[j48]
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Sheela Ramanna, Negin Ashrafi, Evan Loster, Karen Debroni, Shelley Turner:
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. Frontiers Artif. Intell. 6 (2023)
[j47]
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Sheela Ramanna:
Tolerance-based granular methods: Foundations and applications in natural language processing. Intell. Decis. Technol. 17(1): 139-158 (2023)
[j46]
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Danila Morozovskii, Sheela Ramanna:
Rare words in text summarization. Nat. Lang. Process. J. 3: 100014 (2023)
[j45]
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Anil Rahate, Shruti Mandaokar, Pulkit Chandel, Rahee Walambe, Sheela Ramanna, Ketan Kotecha:
Employing multimodal co-learning to evaluate the robustness of sensor fusion for industry 5.0 tasks. Soft Comput. 27(7): 4139-4155 (2023)
2022
[j44]
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  - journals/algorithms/PatelRKW22
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Vrushang Patel, Sheela Ramanna, Ketan Kotecha, Rahee Walambe:
Short Text Classification with Tolerance-Based Soft Computing Method. Algorithms 15(8): 267 (2022)
[j43]
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  - journals/axioms/ChoeR22
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Seungho Choe, Sheela Ramanna:
Cubical Homology-Based Machine Learning: An Application in Image Classification. Axioms 11(3): 112 (2022)
[j42]
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  - journals/fdata/JamiesonSRWPAPF22
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Blair Jamieson, Matt Stubbs, Sheela Ramanna, John Walker, Nick Prouse, Ryosuke Akutsu, Patrick de Perio, Wojciech Fedorko:
Using machine learning to improve neutron identification in water Cherenkov detectors. Frontiers Big Data 5 (2022)
[j41]
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Avatharam Ganivada, Sheela Ramanna:
Self-organizing map with granular competitive learning: Application to microarray clustering. Intell. Decis. Technol. 16(3): 505-521 (2022)
[j40]
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Anil Rahate, Rahee Walambe, Sheela Ramanna, Ketan Kotecha:
Multimodal Co-learning: Challenges, applications with datasets, recent advances and future directions. Inf. Fusion 81: 203-239 (2022)
[j39]
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Habib Ben Abdallah, Christopher J. Henry, Sheela Ramanna:
1-Dimensional Polynomial Neural Networks for audio signal related problems. Knowl. Based Syst. 240: 108174 (2022)
[j38]
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Oumaima Hamila, Sheela Ramanna, Christopher J. Henry, Serkan Kiranyaz, Ridha Hamila, Rashid Mazhar, Tahir Hamid:
Fully automated 2D and 3D convolutional neural networks pipeline for video segmentation and myocardial infarction detection in echocardiography. Multim. Tools Appl. 81(26): 37417-37439 (2022)
[j37]
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  - journals/trs/JauraR22
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Seeratpal Jaura, Sheela Ramanna:
Named Entity Recognition on CORD-19 Bio-Medical Dataset with Tolerance Rough Sets. Trans. Rough Sets 23: 23-32 (2022)
2021
[j36]
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Sheela Ramanna, Cenker Sengoz, Scott Kehler, Dat Pham:
Near Real-time Map Building with Multi-class Image Set Labeling and Classification of Road Conditions Using Convolutional Neural Networks. Appl. Artif. Intell. 35(11): 803-833 (2021)
[j35]
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Rajesh Jaiswal, Sheela Ramanna:
Detecting overlapping communities using ensemble-based distributed neighbourhood threshold method in social networks. Intell. Decis. Technol. 15(2): 251-267 (2021)
2020
[j34]
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  - journals/ficn/DonPRT20
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Arjuna P. H. Don, James F. Peters, Sheela Ramanna, Arturo Tozzi:
Topological View of Flows Inside the BOLD Spontaneous Activity of the Human Brain. Frontiers Comput. Neurosci. 14: 34 (2020)
[j33]
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Victor Alhassan, Christopher J. Henry, Sheela Ramanna, Christopher David Storie:
A deep learning framework for land-use/land-cover mapping and analysis using multispectral satellite imagery. Neural Comput. Appl. 32(12): 8529-8544 (2020)
[j32]
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  - journals/patterns/MoghaddamR20
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Hoora Rezaei Moghaddam, Sheela Ramanna:
Harvesting Patterns from Textual Web Sources with Tolerance Rough Sets. Patterns 1(4): 100053 (2020)
2019
[j31]
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Arshia Sathya Ulaganathan, Sheela Ramanna:
Granular methods in automatic music genre classification: a case study. J. Intell. Inf. Syst. 52(1): 85-105 (2019)
[j30]
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Aditya Bharadwaj, Sheela Ramanna:
Categorizing relational facts from the web with fuzzy rough sets. Knowl. Inf. Syst. 61(3): 1695-1713 (2019)
2018
[j29]
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  - journals/mics/ConcilioGPR18
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Anna Di Concilio, C. Guadagni, James F. Peters, Sheela Ramanna:
Descriptive Proximities. Properties and Interplay Between Classical Proximities and Overlap. Math. Comput. Sci. 12(1): 91-106 (2018)
2016
[j28]
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Kanwarpreet Kaur, Sheela Ramanna, Christopher J. Henry:
Measuring the nearness of layered flow graphs: Application to Content Based Image Retrieval. Intell. Decis. Technol. 10(2): 165-181 (2016)
[j27]
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James F. Peters, Sheela Ramanna:
Proximal three-way decisions: Theory and applications in social networks. Knowl. Based Syst. 91: 4-15 (2016)
2015
[j26]
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Cenker Sengoz, Sheela Ramanna:
Learning relational facts from the web: A tolerance rough set approach. Pattern Recognit. Lett. 67: 130-137 (2015)
2014
[j25]
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  - journals/kbs/PoliLCSPRN14
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Gustavo Poli, E. Llapa, J. R. Cecatto, José Hiroki Saito, James F. Peters, Sheela Ramanna, Maria do Carmo Nicoletti:
Solar flare detection system based on tolerance near sets in a GPU-CUDA framework. Knowl. Based Syst. 70: 345-360 (2014)
2013
[j24]
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  - journals/cas/HenryRL13
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Christopher J. Henry, Sheela Ramanna, Daniel Levy:
Quantifying Nearness in Visual Spaces. Cybern. Syst. 44(1): 38-56 (2013)
[j23]
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Zhihua Cui, Sheela Ramanna, James F. Peters, Sankar K. Pal:
Preface. Fundam. Informaticae 124(1-2): v-viii (2013)
[j22]
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James F. Peters, Sheela Ramanna:
Treasure Trove at Banacha. Set Patterns in Descriptive Proximity Spaces. Fundam. Informaticae 127(1-4): 357-367 (2013)
[j21]
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Sheela Ramanna, Doungrat Chitcharoen:
Flow Graphs: Analysis with Near Sets. Math. Comput. Sci. 7(1): 11-29 (2013)
[j20]
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Christopher J. Henry, Sheela Ramanna:
Signature-based Perceptual Nearness: Application of Near Sets to Image Retrieval. Math. Comput. Sci. 7(1): 71-85 (2013)
[j19]
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Christopher J. Henry, Sheela Ramanna:
Maximal Clique Enumeration in Finding Near Neighbourhoods. Trans. Rough Sets 16: 103-124 (2013)
2012
[j18]
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Buddhika Madduma, Sheela Ramanna:
Image retrieval based on high level concept detection and semantic labelling. Intell. Decis. Technol. 6(3): 187-196 (2012)
[j17]
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Pradeep K. Atrey, Hicham Ibrahim, M. Anwar Hossain, Sheela Ramanna, Abdulmotaleb El-Saddik:
Determining trust in media-rich websites using semantic similarity. Multim. Tools Appl. 60(1): 69-96 (2012)
2011
[j16]
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Animesh Adhikari, Lakhmi C. Jain, Sheela Ramanna:
Analysing Effect of Database Grouping on Multi-Database Mining. IEEE Intell. Informatics Bull. 12(1): 25-32 (2011)
[j15]
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Sheela Ramanna, Amir H. Meghdadi, James F. Peters:
Nature-inspired framework for measuring visual image resemblance: A near rough set approach. Theor. Comput. Sci. 412(42): 5926-5938 (2011)
[j14]
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Daniel Lockery, James F. Peters, Sheela Ramanna, Barbara L. Shay, Tony Szturm:
Store-and-Feedforward Adaptive Gaming System for Hand-Finger Motion Tracking in Telerehabilitation. IEEE Trans. Inf. Technol. Biomed. 15(3): 467-473 (2011)
[j13]
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Piotr Wasilewski, James F. Peters, Sheela Ramanna:
Perceptual Tolerance Intersection. Trans. Rough Sets 13: 159-174 (2011)
2010
[j12]
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Sheela Ramanna:
Perceptually Near Pawlak Partitions. Trans. Rough Sets 12: 170-191 (2010)
2009
[j11]
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Sheela Ramanna, Amir H. Meghdadi:
Measuring Resemblances Between Swarm Behaviours: A Perceptual Tolerance Near Set Approach. Fundam. Informaticae 95(4): 533-552 (2009)
2007
[j10]
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Sheela Ramanna, James F. Peters, Andrzej Skowron:
Approaches to Conflict Dynamics Based on Rough Sets. Fundam. Informaticae 75(1-4): 453-468 (2007)
2006
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Sheela Ramanna, Reza Fazel-Rezai:
P300 Wave Detection Based on Rough Sets. Trans. Rough Sets 5: 207-223 (2006)
2004
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James F. Peters, Sheela Ramanna:
Approximation Space for Software Models. Trans. Rough Sets 1: 338-355 (2004)
2003
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James F. Peters, Zbigniew Suraj, S. Shan, Sheela Ramanna, Witold Pedrycz, Nicolino J. Pizzi:
Classification of meteorological volumetric radar data using rough set methods. Pattern Recognit. Lett. 24(6): 911-920 (2003)
[j6]
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James F. Peters, Sheela Ramanna:
Towards a Software Change Classification System: A Rough Set Approach. Softw. Qual. J. 11(2): 121-147 (2003)
2002
[j5]
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James F. Peters, Andrzej Skowron, Jaroslaw Stepaniuk, Sheela Ramanna:
Towards an Ontology of Approximate Reason. Fundam. Informaticae 51(1-2): 157-173 (2002)
2001
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James F. Peters, Liting Han, Sheela Ramanna:
Rough Neural Computing in Signal Analysis. Comput. Intell. 17(3): 493-513 (2001)
[j3]
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James F. Peters, Sheela Ramanna, Maciej Borkowski, Andrzej Skowron, Zbigniew Suraj:
Sensor, Filter, and Fusion Models with Rough Petri Nets. Fundam. Informaticae 47(3-4): 307-323 (2001)
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Witold Pedrycz, Liting Han, James F. Peters, Sheela Ramanna, R. Zhai:
Calibration of software quality: Fuzzy neural and rough neural computing approaches. Neurocomputing 36(1-4): 149-170 (2001)
1999
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James F. Peters, Andrzej Skowron, Zbigniew Suraj, Witold Pedrycz, Sheela Ramanna:
Approximate real-time decision making: Concepts and rough fuzzy Petri net models. Int. J. Intell. Syst. 14(8): 805-839 (1999)

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2024
[c54]
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Siddharth Kelkar, Srinivasa Ravi, Sheela Ramanna, Anand Kumar Madasamy:
Multimodal Propaganda Detection in Memes with Tolerance-Based Soft Computing Method. IJCRS (1) 2024: 343-351
2023
[c53]
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Tejaswi Hegde, Kalyane Satyam Sanjay, Swetha Mary Thomas, Ranjana Kambhammettu, M. Anand Kumar, Sheela Ramanna:
Impact of Vector Embeddings on the Performance of Tolerance Near Sets-based Sentiment Classifier for Text Classification. KES 2023: 645-654
2021
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Danila Morozovskii, Krunal Thummar, Talal Halabi, Sheela Ramanna:
Toward Efficient and Robust Deep Learning-based Malware Detection in Fog Computing. ISNCC 2021: 1-6
[c51]
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Negin Ashrafi, Sheela Ramanna:
Application of Granular Computing-Based Pre-processing in the Labelling of Phonemes. KES-IDT 2021: 141-150
[c50]
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Vrushang Patel, Sheela Ramanna:
Tolerance-Based Short Text Sentiment Classifier. IJCRS 2021: 259-265
2020
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Rajesh Jaiswal, Sheela Ramanna:
Detecting Overlapping Communities Using Distributed Neighbourhood Threshold in Social Networks. IJCRS 2020: 432-445
2018
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Kushagra Trivedi, Sheela Ramanna:
Detecting Overlapping Communities in Social Networks with Voronoi and Tolerance Rough Sets. IEA/AIE 2018: 670-676
[c47]
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Vahid Kardan, Sheela Ramanna:
Tolerance Methods in Graph Clustering: Application to Community Detection in Social Networks. IJCSR 2018: 73-87
2017
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Aditya Bharadwaj, Sheela Ramanna:
Fuzzy Rough Set-Based Unstructured Text Categorization. Canadian AI 2017: 335-340
2016
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Sheela Ramanna, Ashmeet Singh:
Tolerance-Based Approach to Audio Signal Classification. Canadian AI 2016: 83-88
[c44]
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James F. Peters, Sheela Ramanna:
Maximal Nucleus Clusters in Pawlak Paintings. Nerves as approximating tools in Visual Arts. FedCSIS 2016: 199-202
2014
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Cenker Sengoz, Sheela Ramanna:
A Semi-supervised Learning Algorithm for Web Information Extraction with Tolerance Rough Sets. AMT 2014: 1-10
2013
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James F. Peters, Doungrat Chitcharoen, Sheela Ramanna:
Reasoning with Near Set-Based Digital Image Flow Graphs. MIWAI 2013: 199-210
[c41]
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Tariq Alusaifeer, Sheela Ramanna, Christopher J. Henry, James F. Peters:
GPU Implementation of MCE Approach to Finding Near Neighbourhoods. RSKT 2013: 251-262
2012
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James F. Peters, Sheela Ramanna:
Associated Near Sets of Merotopies. IPMU (1) 2012: 586-595
2011
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Buddhika Madduma, Sheela Ramanna:
Content-Based Image Authentication Framework with Semi-fragile Hybrid Watermark Scheme. ICMMI 2011: 239-247
[c38]
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Christopher J. Henry, Sheela Ramanna:
Parallel Computation in Finding Near Neighbourhoods. RSKT 2011: 523-532
2010
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Piotr Wasilewski, James F. Peters, Sheela Ramanna:
Perceptual Tolerance Intersection. RSCTC 2010: 277-286
2009
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Puntip Pattaraintakorn, James F. Peters, Sheela Ramanna:
Capacity-Based Definite Rough Integral and Its Application. ICMMI 2009: 299-308
[c35]
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Amir H. Meghdadi, James F. Peters, Sheela Ramanna:
Tolerance Classes in Measuring Image Resemblance. KES (2) 2009: 127-134
2007
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James F. Peters, Sheela Ramanna:
Feature Selection: Near Set Approach. MCD 2007: 57-71
[c33]
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James F. Peters, Shabnam Shahfar, Sheela Ramanna, Tony Szturm:
Biologically-Inspired Adaptive Learning: A Near Set Approach. FBIT 2007: 403-408
[c32]
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Sheela Ramanna, Andrzej Skowron:
Requiremnents Interaction an Conflicts A Rough Set Approach. FOCI 2007: 308-313
[c31]
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Sheela Ramanna, Rajen Bhatt, Piotr Biernot:
Software Defect Classification: A Comparative Study with Rough Hybrid Approaches. RSEISP 2007: 630-638
[c30]
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Sheela Ramanna, Rajen Bhatt, Piotr Biernot:
A Rough-Hybrid Approach to Software Defect Classification. RSFDGrC 2007: 79-86
[c29]
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Sheela Ramanna, Andrzej Skowron, James F. Peters:
Approximation Space-Based Socio-Technical Conflict Model. RSKT 2007: 476-483
2006
[c28]
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Sheela Ramanna, James F. Peters, Andrzej Skowron:
Generalized Conflict and Resolution Model with Approximation Spaces. RSCTC 2006: 274-283
[c27]
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Andrzej Skowron, Sheela Ramanna, James F. Peters:
Conflict Analysis and Information Systems: A Rough Set Approach. RSKT 2006: 233-240
2005
[c26]
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James F. Peters, Daniel Lockery, Sheela Ramanna:
Monte Carlo Off-Policy Reinforcement Learning: A Rough Set Approach. HIS 2005: 187-192
[c25]
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James F. Peters, Christopher J. Henry, Sheela Ramanna:
Reinforcement Learning with Pattern-based Rewards. Computational Intelligence 2005: 267-272
[c24]
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James F. Peters, Christopher J. Henry, Sheela Ramanna:
Reinforcement Learning in Swarms that Learn. IAT 2005: 400-406
[c23]
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James F. Peters, Christopher J. Henry, Sheela Ramanna:
Rough Ethograms: Study of Intelligent System Behavior. Intelligent Information Systems 2005: 117-126
[c22]
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Reza Fazel-Rezai, Sheela Ramanna:
Brain Signals: Feature Extraction and Classification Using Rough Set Methods. RSFDGrC (2) 2005: 709-718
2004
[c21]
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James F. Peters, Sheela Ramanna:
Measuring Acceptance of Intelligent System Models. KES 2004: 764-771
[c20]
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Lisa Lazareck, Sheela Ramanna:
Classification of Swallowing Sound Signals: A Rough Set Approach. Rough Sets and Current Trends in Computing 2004: 679-684
2003
[c19]
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James F. Peters, Andrzej Skowron, Piotr Synak, Sheela Ramanna:
Rough Sets and Information Granulation. IFSA 2003: 370-377
[c18]
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James F. Peters, H. Feng, Sheela Ramanna:
Adaptive Granular Control of an HVDC System: A Rough Set Approach. RSFDGrC 2003: 213-220
[c17]
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James F. Peters, Sheela Ramanna, Marcin S. Szczuka:
Towards a Line-Crawling Robot Obstacle Classification System: A Rough Set Approach. RSFDGrC 2003: 303-307
2002
[c16]
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Sheela Ramanna, James F. Peters, Tae-Chon Ahn:
Software Quality Knowledge Discovery: A Rough Set Approach. COMPSAC 2002: 1140-1145
[c15]
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Sheela Ramanna:
Rough Neural Network for Software Change Prediction. Rough Sets and Current Trends in Computing 2002: 602-609
2001
[c14]
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Zdzislaw Pawlak, James F. Peters, Andrzej Skowron, Zbigniew Suraj, Sheela Ramanna, Maciej Borkowski:
Rough Measures and Integrals: A Brief Introduction. JSAI Workshops 2001: 375-379
[c13]
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James F. Peters, Sheela Ramanna, Andrzej Skowron, Maciej Borkowski:
Wireless Agent Guidance of Remote Mobile Robots: Rough Integral Approach to Sensor Signal Analysis. Web Intelligence 2001: 413-422
2000
[c12]
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James F. Peters, Andrzej Skowron, Zbigniew Suraj, Liting Han, Sheela Ramanna:
Design of Rough Neurons: Rough Set Foundation and Petri Net Model. ISMIS 2000: 283-291
[c11]
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James F. Peters, Andrzej Skowron, Liting Han, Sheela Ramanna:
Towards Rough Neural Computing Based on Rough Membership Functions: Theory and Application. Rough Sets and Current Trends in Computing 2000: 611-618
1999
[c10]
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James F. Peters, Liting Han, Sheela Ramanna:
Approximate Time Rough Software Cost Decision System: multicriteria Decision-Making Approach. ISMIS 1999: 556-564
[c9]
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Liting Han, James F. Peters, Sheela Ramanna, R. Zhai:
Classifying Faults in High Voltage Power Systems: A Rough-Fuzzy Neural Computational Approach. RSFDGrC 1999: 47-54
1998
[c8]
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James F. Peters, K. Ziaei, Sheela Ramanna:
Approximate Time Rough Control: Concepts and Application to Satellite Attitude Control. Rough Sets and Current Trends in Computing 1998: 491-498
[c7]
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James F. Peters, K. Ziaei, Sheela Ramanna, Sylvanus A. Ehikioya:
Adaptive fuzzy rough approximate time controller design methodology: concepts, Petri net model and application. SMC 1998: 2101-2106
[c6]
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James F. Peters, J. Wong, Sheela Ramanna, Sylvanus A. Ehikioya:
Evolution of competing situated robots: concepts and experiments with a Java applet. SMC 1998: 3371-3375
[c5]
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James F. Peters, Sheela Ramanna, T. Gomi:
Non-Cartesian robotics and evolution of atomic competences: concepts, classification and population fitness. SMC 1998: 3376-3381
1994
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James F. Peters, Luis Baumela, Darío Maravall, Sheela Ramanna:
Logical Design of Neural controllers. AIRTC 1994: 179-184
1990
[c3]
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James F. Peters, Sheela Ramanna, Elizabeth A. Unger:
Logic of Knowledge and Belief in the Design of an Integrity Kernel for an Office Information System (Abstract). ACM Conference on Computer Science 1990: 417
[c2]
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Sheela Ramanna, James F. Peters, Elizabeth A. Unger, K. W. Glander:
Designing a dynamic integrity constraint checker with nonmonotonic logic. COMPSAC 1990: 140-145
[c1]
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James F. Peters, Sheela Ramanna, Elizabeth A. Unger:
Design of Knowiedge-Based Integrity Systems with ISL++. SEKE 1990: 183-188

Parts in Books or Collections

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2018
[p5]
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James Francis Peters, Sheela Ramanna:
Shape Descriptions and Classes of Shapes. A Proximal Physical Geometry Approach. Advances in Feature Selection for Data and Pattern Recognition 2018: 203-225
[p4]
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Ashmeet Singh, Sheela Ramanna:
Application of Tolerance Near Sets to Audio Signal Classification. Advances in Feature Selection for Data and Pattern Recognition 2018: 241-266
2010
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James F. Peters, Tony Szturm, Maciej Borkowski, Daniel Lockery, Sheela Ramanna, Barbara L. Shay:
Wireless Adaptive Therapeutic TeleGaming in a Pervasive Computing Environment. Pervasive Computing, Innovations in Intelligent Multimedia and Applications 2010: 3-28
2009
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James F. Peters, Sheela Ramanna:
Affinities between Perceptual Granules: Foundations and Perspectives. Human-Centric Information Processing Through Granular Modelling 2009: 49-66
2004
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James F. Peters, Sheela Ramanna, Zbigniew Suraj, Maciej Borkowski:
Rough Neurons: Petri Net Models and Applications. Rough-Neural Computing: Techniques for Computing with Words 2004: 471-490

Editorship

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2022
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James F. Peters, Andrzej Skowron, Rabi Nanda Bhaumik, Sheela Ramanna:
Transactions on Rough Sets XXIII. Lecture Notes in Computer Science 13610, Springer 2022, ISBN 978-3-662-66543-5 [contents]
2021
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Sheela Ramanna, Chris Cornelis, Davide Ciucci:
Rough Sets - International Joint Conference, IJCRS 2021, Bratislava, Slovakia, September 19-24, 2021, Proceedings. Lecture Notes in Computer Science 12872, Springer 2021, ISBN 978-3-030-87333-2 [contents]
2013
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Sheela Ramanna, Pawan Lingras, Chattrakul Sombattheera, Aneesh Krishna:
Multi-disciplinary Trends in Artificial Intelligence - 7th International Workshop, MIWAI 2013, Krabi, Thailand, December 9-11, 2013. Proceedings. Lecture Notes in Computer Science 8271, Springer 2013, ISBN 978-3-642-44948-2 [contents]
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James F. Peters, Andrzej Skowron, Sheela Ramanna, Zbigniew Suraj, Xin Wang:
Transactions on Rough Sets XVI. Lecture Notes in Computer Science 7736, Springer 2013, ISBN 978-3-642-36504-1 [contents]
2011
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Jingtao Yao, Sheela Ramanna, Guoyin Wang, Zbigniew Suraj:
Rough Sets and Knowledge Technology - 6th International Conference, RSKT 2011, Banff, Canada, October 9-12, 2011. Proceedings. Lecture Notes in Computer Science 6954, Springer 2011, ISBN 978-3-642-24424-7 [contents]
2010
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Marcin S. Szczuka, Marzena Kryszkiewicz, Sheela Ramanna, Richard Jensen, Qinghua Hu:
Rough Sets and Current Trends in Computing - 7th International Conference, RSCTC 2010, Warsaw, Poland, June 28-30,2010. Proceedings. Lecture Notes in Computer Science 6086, Springer 2010, ISBN 978-3-642-13528-6 [contents]
2007
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Aijun An, Jerzy Stefanowski, Sheela Ramanna, Cory J. Butz, Witold Pedrycz, Guoyin Wang:
Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, 11th International Conference, RSFDGrC 2007, Toronto, Canada, May 14-16, 2007, Proceedings. Lecture Notes in Computer Science 4482, Springer 2007, ISBN 978-3-540-72529-9 [contents]

Informal and Other Publications

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2022
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  - journals/corr/abs-2201-05445
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Sheela Ramanna, Danila Morozovskii, Sam Swanson, Jennifer Bruneau:
Machine Learning of polymer types from the spectral signature of Raman spectroscopy microplastics data. CoRR abs/2201.05445 (2022)
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  - journals/corr/abs-2203-02611
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Habib Ben Abdallah, Christopher J. Henry, Sheela Ramanna:
Plant Species Recognition with Optimized 3D Polynomial Neural Networks and Variably Overlapping Time-Coherent Sliding Window. CoRR abs/2203.02611 (2022)
2021
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Oumaima Hamila, Sheela Ramanna, Christopher J. Henry, Serkan Kiranyaz, Ridha Hamila, Rashid Mazhar, Tahir Hamid:
Fully Automated 2D and 3D Convolutional Neural Networks Pipeline for Video Segmentation and Myocardial Infarction Detection in Echocardiography. CoRR abs/2103.14734 (2021)
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Habib Ben Abdallah, Christopher J. Henry, Sheela Ramanna:
Polynomial degree reduction in the L²-norm on a symmetric interval for the canonical basis. CoRR abs/2105.07258 (2021)
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  - journals/corr/abs-2107-13782
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Anil Rahate, Rahee Walambe, Sheela Ramanna, Ketan Kotecha:
Multimodal Co-learning: Challenges, Applications with Datasets, Recent Advances and Future Directions. CoRR abs/2107.13782 (2021)
2020
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  - journals/corr/abs-2001-09947
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Sheela Ramanna, Cenker Sengoz, Scott Kehler, Dat Pham:
Near real-time map building with multi-class image set labelling and classification of road conditions using convolutional neural networks. CoRR abs/2001.09947 (2020)
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  - journals/corr/abs-2009-04077
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Habib Ben Abdallah, Christopher J. Henry, Sheela Ramanna:
1-Dimensional polynomial neural networks for audio signal related problems. CoRR abs/2009.04077 (2020)

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