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2020 – today
- 2024
- [j54]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]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]Habib Ben Abdallah
Plant species recognition with optimized 3D polynomial neural networks and variably overlapping time-coherent sliding window. Multim. Tools Appl. 83(34): 80667-80700 (2024) - [c54]Siddharth Kelkar
Multimodal Propaganda Detection in Memes with Tolerance-Based Soft Computing Method. IJCRS (1) 2024: 343-351 - 2023
- [j51]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]Peeyush Singhal
Domain Adaptation: Challenges, Methods, Datasets, and Applications. IEEE Access 11: 6973-7020 (2023) - [j49]Cenker Sengoz, Sheela Ramanna
Machine Learning Approaches to Improve North American Precipitation Forecasts. IEEE Access 11: 97664-97681 (2023) - [j48]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]Sheela Ramanna:
Tolerance-based granular methods: Foundations and applications in natural language processing. Intell. Decis. Technol. 17(1): 139-158 (2023) - [j46]Danila Morozovskii, Sheela Ramanna:
Rare words in text summarization. Nat. Lang. Process. J. 3: 100014 (2023) - [j45]Anil Rahate
Employing multimodal co-learning to evaluate the robustness of sensor fusion for industry 5.0 tasks. Soft Comput. 27(7): 4139-4155 (2023) - [c53]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 - 2022
- [j44]Vrushang Patel, Sheela Ramanna
Short Text Classification with Tolerance-Based Soft Computing Method. Algorithms 15(8): 267 (2022) - [j43]Seungho Choe
Cubical Homology-Based Machine Learning: An Application in Image Classification. Axioms 11(3): 112 (2022) - [j42]Blair Jamieson, Matt Stubbs, Sheela Ramanna, John Walker, Nick Prouse
Using machine learning to improve neutron identification in water Cherenkov detectors. Frontiers Big Data 5 (2022) - [j41]Avatharam Ganivada, Sheela Ramanna:
Self-organizing map with granular competitive learning: Application to microarray clustering. Intell. Decis. Technol. 16(3): 505-521 (2022) - [j40]Anil Rahate
Multimodal Co-learning: Challenges, applications with datasets, recent advances and future directions. Inf. Fusion 81: 203-239 (2022) - [j39]Habib Ben Abdallah
1-Dimensional Polynomial Neural Networks for audio signal related problems. Knowl. Based Syst. 240: 108174 (2022) - [j38]Oumaima Hamila
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]Seeratpal Jaura, Sheela Ramanna
Named Entity Recognition on CORD-19 Bio-Medical Dataset with Tolerance Rough Sets. Trans. Rough Sets 23: 23-32 (2022) - [e7]James F. Peters
Transactions on Rough Sets XXIII. Lecture Notes in Computer Science 13610, Springer 2022, ISBN 978-3-662-66543-5 [contents] - [i7]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) - [i6]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
- [j36]Sheela Ramanna
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]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) - [c52]Danila Morozovskii, Krunal Thummar, Talal Halabi
Toward Efficient and Robust Deep Learning-based Malware Detection in Fog Computing. ISNCC 2021: 1-6 - [c51]Negin Ashrafi, Sheela Ramanna:
Application of Granular Computing-Based Pre-processing in the Labelling of Phonemes. KES-IDT 2021: 141-150 - [c50]Vrushang Patel, Sheela Ramanna
Tolerance-Based Short Text Sentiment Classifier. IJCRS 2021: 259-265 - [e6]Sheela Ramanna
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] - [i5]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) - [i4]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) - [i3]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
- [j34]Arjuna P. H. Don
Topological View of Flows Inside the BOLD Spontaneous Activity of the Human Brain. Frontiers Comput. Neurosci. 14: 34 (2020) - [j33]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]Hoora Rezaei Moghaddam, Sheela Ramanna:
Harvesting Patterns from Textual Web Sources with Tolerance Rough Sets. Patterns 1(4): 100053 (2020) - [c49]Rajesh Jaiswal, Sheela Ramanna:
Detecting Overlapping Communities Using Distributed Neighbourhood Threshold in Social Networks. IJCRS 2020: 432-445 - [i2]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) - [i1]Habib Ben Abdallah, Christopher J. Henry, Sheela Ramanna:
1-Dimensional polynomial neural networks for audio signal related problems. CoRR abs/2009.04077 (2020)
2010 – 2019
- 2019
- [j31]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]Aditya Bharadwaj, Sheela Ramanna:
Categorizing relational facts from the web with fuzzy rough sets. Knowl. Inf. Syst. 61(3): 1695-1713 (2019) - 2018
- [j29]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) - [c48]Kushagra Trivedi, Sheela Ramanna:
Detecting Overlapping Communities in Social Networks with Voronoi and Tolerance Rough Sets. IEA/AIE 2018: 670-676 - [c47]Vahid Kardan, Sheela Ramanna:
Tolerance Methods in Graph Clustering: Application to Community Detection in Social Networks. IJCSR 2018: 73-87 - [p5]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]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 - 2017
- [c46]Aditya Bharadwaj, Sheela Ramanna:
Fuzzy Rough Set-Based Unstructured Text Categorization. Canadian AI 2017: 335-340 - 2016
- [j28]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]James F. Peters, Sheela Ramanna:
Proximal three-way decisions: Theory and applications in social networks. Knowl. Based Syst. 91: 4-15 (2016) - [c45]Sheela Ramanna, Ashmeet Singh:
Tolerance-Based Approach to Audio Signal Classification. Canadian AI 2016: 83-88 - [c44]James F. Peters, Sheela Ramanna:
Maximal Nucleus Clusters in Pawlak Paintings. Nerves as approximating tools in Visual Arts. FedCSIS 2016: 199-202 - 2015
- [j26]Cenker Sengoz, Sheela Ramanna:
Learning relational facts from the web: A tolerance rough set approach. Pattern Recognit. Lett. 67: 130-137 (2015) - 2014
- [j25]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) - [c43]Cenker Sengoz, Sheela Ramanna:
A Semi-supervised Learning Algorithm for Web Information Extraction with Tolerance Rough Sets. AMT 2014: 1-10 - 2013
- [j24]Christopher J. Henry, Sheela Ramanna, Daniel Levy:
Quantifying Nearness in Visual Spaces. Cybern. Syst. 44(1): 38-56 (2013) - [j23]Zhihua Cui, Sheela Ramanna, James F. Peters, Sankar K. Pal:
Preface. Fundam. Informaticae 124(1-2): v-viii (2013) - [j22]James F. Peters, Sheela Ramanna:
Treasure Trove at Banacha. Set Patterns in Descriptive Proximity Spaces. Fundam. Informaticae 127(1-4): 357-367 (2013) - [j21]Sheela Ramanna, Doungrat Chitcharoen:
Flow Graphs: Analysis with Near Sets. Math. Comput. Sci. 7(1): 11-29 (2013) - [j20]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]Christopher J. Henry, Sheela Ramanna:
Maximal Clique Enumeration in Finding Near Neighbourhoods. Trans. Rough Sets 16: 103-124 (2013) - [c42]James F. Peters, Doungrat Chitcharoen, Sheela Ramanna:
Reasoning with Near Set-Based Digital Image Flow Graphs. MIWAI 2013: 199-210 - [c41]Tariq Alusaifeer, Sheela Ramanna, Christopher J. Henry, James F. Peters:
GPU Implementation of MCE Approach to Finding Near Neighbourhoods. RSKT 2013: 251-262 - [e5]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] - [e4]James F. Peters, Andrzej Skowron
Transactions on Rough Sets XVI. Lecture Notes in Computer Science 7736, Springer 2013, ISBN 978-3-642-36504-1 [contents] - 2012
- [j18]Buddhika Madduma, Sheela Ramanna:
Image retrieval based on high level concept detection and semantic labelling. Intell. Decis. Technol. 6(3): 187-196 (2012) - [j17]Pradeep K. Atrey, Hicham Ibrahim, M. Anwar Hossain
Determining trust in media-rich websites using semantic similarity. Multim. Tools Appl. 60(1): 69-96 (2012) - [c40]James F. Peters, Sheela Ramanna:
Associated Near Sets of Merotopies. IPMU (1) 2012: 586-595 - 2011
- [j16]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]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]Daniel Lockery, James F. Peters, Sheela Ramanna, Barbara L. Shay
Store-and-Feedforward Adaptive Gaming System for Hand-Finger Motion Tracking in Telerehabilitation. IEEE Trans. Inf. Technol. Biomed. 15(3): 467-473 (2011) - [j13]Piotr Wasilewski, James F. Peters, Sheela Ramanna:
Perceptual Tolerance Intersection. Trans. Rough Sets 13: 159-174 (2011) - [c39]Buddhika Madduma, Sheela Ramanna:
Content-Based Image Authentication Framework with Semi-fragile Hybrid Watermark Scheme. ICMMI 2011: 239-247 - [c38]Christopher J. Henry, Sheela Ramanna:
Parallel Computation in Finding Near Neighbourhoods. RSKT 2011: 523-532 - [e3]Jingtao Yao, Sheela Ramanna, Guoyin Wang
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
- [j12]Sheela Ramanna:
Perceptually Near Pawlak Partitions. Trans. Rough Sets 12: 170-191 (2010) - [c37]Piotr Wasilewski, James F. Peters, Sheela Ramanna:
Perceptual Tolerance Intersection. RSCTC 2010: 277-286 - [p3]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 - [e2]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]
2000 – 2009
- 2009
- [j11]Sheela Ramanna, Amir H. Meghdadi:
Measuring Resemblances Between Swarm Behaviours: A Perceptual Tolerance Near Set Approach. Fundam. Informaticae 95(4): 533-552 (2009) - [c36]Puntip Pattaraintakorn, James F. Peters, Sheela Ramanna:
Capacity-Based Definite Rough Integral and Its Application. ICMMI 2009: 299-308 - [c35]Amir H. Meghdadi, James F. Peters, Sheela Ramanna:
Tolerance Classes in Measuring Image Resemblance. KES (2) 2009: 127-134 - [p2]James F. Peters, Sheela Ramanna:
Affinities between Perceptual Granules: Foundations and Perspectives. Human-Centric Information Processing Through Granular Modelling 2009: 49-66 - 2007
- [j10]Sheela Ramanna, James F. Peters, Andrzej Skowron:
Approaches to Conflict Dynamics Based on Rough Sets. Fundam. Informaticae 75(1-4): 453-468 (2007) - [c34]James F. Peters, Sheela Ramanna:
Feature Selection: Near Set Approach. MCD 2007: 57-71 - [c33]James F. Peters, Shabnam Shahfar, Sheela Ramanna, Tony Szturm:
Biologically-Inspired Adaptive Learning: A Near Set Approach. FBIT 2007: 403-408 - [c32]Sheela Ramanna, Andrzej Skowron
Requiremnents Interaction an Conflicts A Rough Set Approach. FOCI 2007: 308-313 - [c31]Sheela Ramanna, Rajen Bhatt, Piotr Biernot:
Software Defect Classification: A Comparative Study with Rough Hybrid Approaches. RSEISP 2007: 630-638 - [c30]Sheela Ramanna, Rajen Bhatt, Piotr Biernot:
A Rough-Hybrid Approach to Software Defect Classification. RSFDGrC 2007: 79-86 - [c29]Sheela Ramanna, Andrzej Skowron, James F. Peters:
Approximation Space-Based Socio-Technical Conflict Model. RSKT 2007: 476-483 - [e1]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] - 2006
- [j9]Sheela Ramanna, Reza Fazel-Rezai:
P300 Wave Detection Based on Rough Sets. Trans. Rough Sets 5: 207-223 (2006) - [c28]Sheela Ramanna, James F. Peters, Andrzej Skowron:
Generalized Conflict and Resolution Model with Approximation Spaces. RSCTC 2006: 274-283 - [c27]Andrzej Skowron, Sheela Ramanna, James F. Peters:
Conflict Analysis and Information Systems: A Rough Set Approach. RSKT 2006: 233-240 - 2005
- [c26]James F. Peters, Daniel Lockery, Sheela Ramanna:
Monte Carlo Off-Policy Reinforcement Learning: A Rough Set Approach. HIS 2005: 187-192 - [c25]James F. Peters, Christopher J. Henry, Sheela Ramanna:
Reinforcement Learning with Pattern-based Rewards. Computational Intelligence 2005: 267-272 - [c24]James F. Peters, Christopher J. Henry, Sheela Ramanna:
Reinforcement Learning in Swarms that Learn. IAT 2005: 400-406 - [c23]James F. Peters, Christopher J. Henry, Sheela Ramanna:
Rough Ethograms: Study of Intelligent System Behavior. Intelligent Information Systems 2005: 117-126 - [c22]Reza Fazel-Rezai, Sheela Ramanna:
Brain Signals: Feature Extraction and Classification Using Rough Set Methods. RSFDGrC (2) 2005: 709-718 - 2004
- [j8]James F. Peters, Sheela Ramanna:
Approximation Space for Software Models. Trans. Rough Sets 1: 338-355 (2004) - [c21]James F. Peters, Sheela Ramanna:
Measuring Acceptance of Intelligent System Models. KES 2004: 764-771 - [c20]Lisa Lazareck, Sheela Ramanna:
Classification of Swallowing Sound Signals: A Rough Set Approach. Rough Sets and Current Trends in Computing 2004: 679-684 - [p1]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 - 2003
- [j7]James F. Peters, Zbigniew Suraj
Classification of meteorological volumetric radar data using rough set methods. Pattern Recognit. Lett. 24(6): 911-920 (2003) - [j6]James F. Peters, Sheela Ramanna:
Towards a Software Change Classification System: A Rough Set Approach. Softw. Qual. J. 11(2): 121-147 (2003) - [c19]James F. Peters, Andrzej Skowron, Piotr Synak, Sheela Ramanna:
Rough Sets and Information Granulation. IFSA 2003: 370-377 - [c18]James F. Peters, H. Feng, Sheela Ramanna:
Adaptive Granular Control of an HVDC System: A Rough Set Approach. RSFDGrC 2003: 213-220 - [c17]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
- [j5]James F. Peters, Andrzej Skowron, Jaroslaw Stepaniuk, Sheela Ramanna:
Towards an Ontology of Approximate Reason. Fundam. Informaticae 51(1-2): 157-173 (2002) - [c16]Sheela Ramanna, James F. Peters, Tae-Chon Ahn:
Software Quality Knowledge Discovery: A Rough Set Approach. COMPSAC 2002: 1140-1145 - [c15]Sheela Ramanna:
Rough Neural Network for Software Change Prediction. Rough Sets and Current Trends in Computing 2002: 602-609 - 2001
- [j4]James F. Peters, Liting Han, Sheela Ramanna:
Rough Neural Computing in Signal Analysis. Comput. Intell. 17(3): 493-513 (2001) - [j3]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) - [j2]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) - [c14]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]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]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]James F. Peters, Andrzej Skowron
Towards Rough Neural Computing Based on Rough Membership Functions: Theory and Application. Rough Sets and Current Trends in Computing 2000: 611-618
1990 – 1999
- 1999
- [j1]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) - [c10]James F. Peters, Liting Han, Sheela Ramanna:
Approximate Time Rough Software Cost Decision System: multicriteria Decision-Making Approach. ISMIS 1999: 556-564 - [c9]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]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]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]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]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
- [c4]James F. Peters, Luis Baumela, Darío Maravall, Sheela Ramanna:
Logical Design of Neural controllers. AIRTC 1994: 179-184 - 1990
- [c3]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]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]James F. Peters, Sheela Ramanna, Elizabeth A. Unger:
Design of Knowiedge-Based Integrity Systems with ISL++. SEKE 1990: 183-188
Coauthor Index
James F. Peters
aka: James Francis Peters
aka: James Francis Peters
[e7] [j34] [j29] [p5] [j27] [c44] [j25] [j23] [j22] [c42] [c41] [e4] [c40] [j15] [j14] [j13] [c37] [p3] [c36] [c35] [p2] [j10] [c34] [c33] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [j8] [c21] [p1] [j7] [j6] [c19] [c18] [c17] [j5] [c16] [j4] [j3] [j2] [c14] [c13] [c12] [c11] [j1] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
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