Dr. Sheela Ramanna

Publications

P. Bidwai, S. Gite, N. Pahuja, K Pahuja, K Kotecha, N. Jain, S.Ramanna, Multimodal image fusion for the detection of diabetic retinopathy using optimized explainable AI-based Light GBM classifier, Information Fusion Journal, 111 (102526) 2024
Habib Ben Abdallah, Christopher J. Henry and Sheela Ramanna, Plant Species Recognition with Optimized 3D Polynomial Neural Networks and Variably Overlapping Time-Coherent Sliding Window, Multimedia Tools and Applications, Springer, 2024
Jaher Hassan Chowdhury, Qian Liu and Sheela Ramanna, Simple Histogram Equalization Technique Improves Performance of VGG Models on Facial Emotion Recognition Datasets, Algorithms, MDPI 17(6), 238, 2024
Siddharth Kelkar, Srinivasa Ravi, Anand Kumar M, Sheela Ramanna, Multimodal Propaganda Detection in Memes with Tolerance-Based Soft Computing Method, IJCRS Proceedings, LNAI, 14839, 2024, pp. 343-351
Sheela Ramanna, Tolerance-based granular methods: Foundations and applications in natural language processing, Intelligent Decision Technologies Journal, 17, 1 pp. 139-158, 2023
C. Sengoz , S. Ramanna, S. Kehler, R. Goomer and P. Pries, "Machine Learning Approaches to Improve North American Precipitation Forecasts, IEEE Access, August 2023
Danila Morozovskii and Sheela Ramanna, Rare Words in Text Summarization, Natural Language Processing Journal, vol. 3, June 2023
Tejaswi Hegde, Kalyane Satyam Sanjay, Swetha Mary Thomas, Ranjana Kambhammettu, Anand Kumar M, Sheela Ramanna, Impact of Vector Embeddings on the Performance of Tolerance Near Sets-based Sentiment Classifier for Text Classification, Procedia Computer Science, 2023, pp. 645-654
R. Goomer and S.Ramanna, "Exploring Machine Learning Approaches for Precipitation Prediction: Post Processing of Daily Accumulated North American Forecasts, ISDA 2023 - Machine Learning Solutions, LNNS Vol, 1052, pp. 55-63, 2023
Sheela Ramanna, Danila Morozovskii , Sam Swanson, Jennifer Bruneau, Machine Learning of Polymer Types From the Spectral Signature Of Raman Spectroscopy Microplastics Data Advances in Artificial Intelligence and Machine Learning; Research 3 (1) 647-668, 2023.
Sheela Ramanna, Ashrafi Negin , Loster Evan, Debroni Karen, Turner Shelley, 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 in Artificial Intelligence Journal, vol. 6, 2023
P. Singhal , R. Walambe, S. Ramanna and K. Kotecha, Domain Adaptation: Challenges, Methods, Datasets, and Applications, IEEE Access, vol. 11, pp. 6973-7020, 2023, doi: 10.1109/ACCESS.2023.3237025.
Blair Jamieson, Matt Stubbs , Sheela Ramanna, John Walker, Nick Prouse, Ryosuke Akutsu, Patrick de Perio and Wojciech Fedorko, Using machine learning to improve neutron identification in water Cherenkov detectors, Frontiers in Big Data Journal, Sep. 2022
Seungho Choe , Sheela Ramanna, Cubical Homology-Based Machine Learning: An Application in Image Classification, Axioms 2022, 11, 112.
Vrushang Patel , Sheela Ramanna, Ketan Kotecha, and Rahee Walambe, Short Text Classification with Tolerance-Based Soft Computing Method, Algorithms, 2022.
Avatharam Ganivada, Sheela Ramanna Self-Organizing Map with Granular Competitive Learning: Application to Microarray Clustering, Intelligent Decision Technologies Journal, 2022, IOS Press, vol. 6, no. 3, 2022.
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, 2021 Springer Journal of Multimedia and Application, 2022 .
Habib Ben Abdallah, Christopher J. Henry and Sheela Ramanna, Plant Species Recognition with Optimized 3D Polynomial Neural Networks and Variably Overlapping Time-Coherent Sliding Window, arXiv:2203.02611, 2022 ArXiv Preprint.
Anil Rahate , Rahee Walambe, Sheela Ramanna, Ketan Kotecha, Employing multimodal co-learning to evaluate the robustness of sensor fusion for industry 5.0 tasks, Soft Computing, Springer, 2022.
Anil Rahate, Shruti Mandaokar, Pulkit Chandel , Rahee Walambe, Sheela Ramanna, Ketan Kotecha, Multimodal Co-learning: Challenges, Applications with Datasets, Recent Advances and Future Directions, Information Fusion, Elsevier, 2021 . ArXiv Preprint.
Habib Ben Abdallah, Christopher J. Henry and Sheela Ramanna, 1-Dimensional polynomial neural networks for audio signal related problems, Knowledge-based Systems, Elsevier, 2022 . arXiv:2009.04077, 2020 ArXiv Preprint.
Shubham Agrawal, Rashad Ahmed, Anand Kumar M., Sheela Ramanna (2022) Categorizing Relations via Semi-supervised Learning Using a Hybrid Tolerance Rough Sets and Genetic Algorithm Approach. Soft Computing for Data Analytics, Classification Model, and Control. Studies in Fuzziness and Soft Computing, vol 413. Springer,2022.
A. Don , J.F. Peters, S. Ramanna, A. Tozzi: Quaternionic views of rs-FMRi hierarchical brain activation regions. Discovery of multilevel brain activation region intensities in rs-FRMI video frames, Chaos, Solitons and Fractals Journal, 2021 , Elsevier, 152 111351.
Habib Ben Abdallah , Christopher J. Henry and Sheela Ramanna, Polynomial degree reduction in the L2-norm on a symmetric interval for the canonical basis, Results in Applied Mathematics, Elsevier, Volume 12, November 2021, 100185. ArXiv Preprint.
Sheela Ramanna and Cenker Sengoz and Scott Kehler and Dat Pham, Near real-time map building with multi-class image set labelling and classification of road conditions using convolutional neural networks, Applied Artificial Intelligence Journal, Taylor and Francis, 2021. ArXiv Preprint.
Negin Ashrafi and Sheela Ramanna, Application of Granular Computing-based Pre-processing in the labelling of Phonemes, I. Czarnowski et al. (eds.), Intelligent Decision Technologies, Proceedings KES- Springer 2021, vol. 238, pp 141-150, Springer, Singapore. https://doi.org/10.1007/978-981-16-2765-1\_11.
Vrushang Patel and Sheela Ramanna, Tolerance-based short text Sentiment Classifier, Proceedings of International Joint Rough Sets Conference 2021, Bratislava, Slovakia, LNAI 12872, pp 259-265.
Rajesh Jaiswal and Sheela Ramanna, Detecting Overlapping Communities using Ensemble-based Distributed Neighbourhood Threshold Method in Social Networks, Intelligent Decision Technology Journal, vol. 15, no. 2, pp. 251-267, 2021 IOS Press. .
Arjuna P.H. Don, James F. Peters, Sheela Ramanna and Arturo Tozzi, Topological View of Flows inside the BOLD Spontaneous Activity of the Human Brain, Advances in Computational Neuroscience, Frontiers 2020, Full paper.
Arjuna P.H. Don, James F. Peters, Sheela Ramanna, Persistence Barcoded Vehicular Traffic Videos in a Topology of Data Approach to Shape Tracking, Non Linear Studies Journal 2020.
Hoora Moghaddam and Sheela Ramanna, Harvesting Patterns from Textual Web Sources with Tolerance Rough Sets, Patterns, Cell Press, 2020, DOI.
Rajesh Jaiswal and Sheela Ramanna, Detecting Overlapping Communities using Distributed Neighbourhood Threshold in Social Networks, Springer Nature Switzerland AG 2020. IJCRS 2020, LNAI 12179, pp. 1-14, 2020, DOI.
Tridevi, K. and Ramanna, S. Overlapping Community Detection in Social Networks with Voronoi and Tolerance neigbourhood-based method, Granular Computing Journal, Springer, 2019. DOI: 10.1007/s41066-019-00207-0
V. Alhassan and C. Henry and S. Ramanna and C.Storie, A Deep Learning Framework for Land-use/land-cover Mapping and Analysis using Multispectral Satellite Imagery, Neural Computing and Applications Journal, Springer, 2018. DOI: 10.1007/s00521-019-04349-9.
A. Bharadwaj and Ramanna, S. Categorizing Relational Facts from the Web with Fuzzy Rough Sets, Knowledge and Information Systems Journal, Springer, 2019, Volume. 61, Issue 3, 1695-1713. DOI: /10.1007/s10115-018-1250-6.
A. S. Ulaganathan and Ramanna, S. Granular Methods in Automatic Music Genre Classification: A Case Study, Journal of Intelligent Information Systems, Springer, 2018, DOI: 10.1007/s10844-018-0505-8.
Di Concilio, C. Guadagni, J. F.Peters and S.Ramanna, Descriptive Proximities : properties and interplay between classical proximities and overlap, Mathematics in Computer Science Journal, Springer 2018, Volume 12, Issue 1, 91-106.
Kardan, V and Ramanna, S. (2018). Tolerance Methods in Graph Clustering: Application to Community Detection in Social Networks. Int. Joint Conf. on Rough Sets (IJCRS), LNAI 11103, pp. 73-87, 2018.
Tridevi, K. and Ramanna, S. Detecting Overlapping Communities in Social Networks with Voronoi and Tolerance Rough Sets, IEA/AIE 2018, LNAI 10868, pp. 670-676, 2018.
Ramanna, S., Peters, J., Sengoz, C.: Application of tolerance rough sets in structured and unstructured text categorization: A survey. In: G.Wang et al. (eds.),Thriving Rough Sets, Studies in Computational Intelligence 708, pp. 119-173 (2017)
Bharadwaj, A., Ramanna, S.: Fuzzy rough set-based unstructured text categorization. In: M. Mouhoub and P. Langlais (Eds.): Canadian AI 2017 , LNAI 10233, pp. 335-340 (2017)
Peters, J.F., Ramanna, S., Tozzi, A., Inan, E.: Bold-independent Computational Entropy assesses functional donut-like structures in brain FMRI images. Frontiers Human Neuroscience, 2017, 11:38, 10.3389/fnhum.2017.00038
Peters, J.F., Tozzi, A., Ramanna, S. Inan, E.: The human brain from above: an increase in complexity from environmental stimuli to abstractions Cognitive Neurodynamics Journal , Springer (2017), 10.1007/s11571-017-9428-2, pp.1-4
Peters, J., Ramanna, S., Maximal nucleus clusters in Pawlak paintings. Nerves as approximating tools in visual arts, Proceedings of the Federated Conference on Computer Science and Information Systems pp. 199-202, IEEE (2016),
Peters, J.F., Tozzi, A., Ramanna, S: Brain Tissue Tessaltion Shows Absence of Canonical Microcircuits, Neuroscience Letters Journal, Elsevier, 2016, doi:10.1016/j.neulet.2016.03.052.
Peters, J.F., Ramanna, S: Proximal three-way decisions: Theory and applications in social networks, Knowledge-based Systems Journal, Elsevier, 2016, 91: 4-15.
Kaur, K., Ramanna, S., Henry, C.J.: Measuring the nearness of layered flow graphs: Application to Content Based Image Retrieval, Intelligent Decision Technologies Journal, IOS Press 10,(2016) 165--181.
Ramanna, S., and Singh, A.: Tolerance-Based Approach to Audio Signal Classification, R. Khoury and C. Drummond (Eds.): Canadian AI 2016, LNAI 9673, pp. 83--88, 2016.
Sengoz, C., Ramanna, S.: Learning Relational Facts From the Web: A Tolerance Rough Set Approach, Pattern Recognition Letters, Elsevier, 2015, 67(P2):130-137.
Sengoz, C., Ramanna, S.: A semi-supervised learning algorithm for web information extraction with tolerance rough sets. In: Proceeding of Web Intelligence Congress, Active Media Technology 2014 , LNCS 8610. Springer, 1-10 (2014)
G. Poli, E.Llapa, J.R. Cecatto, J.H. Saito, J.F. Peters, S. Ramanna, M.C. Nicoletti: Solar Flare Detection System Based on Tolerance Near Sets in a GPU-CUDA Framework, Knowledge-based Systems Journal, Elsevier , 70(1):345--360, 2014.
T. Alusaifeer, S. Ramanna, C. J. Henry, J. F. Peters: GPU Implementation of MCE Approach to Finding Near Neighbourhoods, In: RSKT 2013 , LNAI 8171, Springer, 251-262(2013)
S.Ramanna and D. Chitcharoen: FlowGraphs: Analysis with Near Sets. Mathematics in Computer Science 7(1), 11--29 (2013)
Z. Cui, S. Ramanna, S. K. Pal and J. F. Peters (Eds). Fundamenta Informaticae, 124 (2013): Cognitive Informatics and Computational Intelligence: Theory and Applications.
S. Ramanna, Z.Suraj, X. Wang, J. F. Peters, A. Skowron (Eds). Special Issue of Transactions on Rough Sets, 2013, LNCS 7736.
Henry, C.J., Ramanna, S.: Maximal clique enumeration in finding near neighbourhoods. Transactions of Rough Sets Journal, Lecture Notes in Computer Science, Vol XVI, Springer (2013))
Henry, C.J., Ramanna, S.: Signature-based perceptual nearness. Application of near sets to image retrieval. Mathematics in Computer Science 7(1), 71--85 (2013)
C.J. Henry, J.F. Peters, R. Hettiarchachichi, S. Ramanna: Content-Based Image Retrieval Using a Metric Free Nearness Measure. In: Proc. of Signal and Image Processing , 2013, 374-381.
Henry, C.J., Ramanna, S., Levi, D.: Qantifying nearness in visual spaces. Cybernetics and Systems 44(1), 38--56 (2013)
J. F. Peters and S. Ramanna, Associated Near Sets of Merotopies, Proceedings of IPMU 2012, Catania, Italy, S. Greco et al (Eds), CCIS 297, pp. 586--595, Springer-Verlag, 2012
J. F. Peters and S. Ramanna, Associated Pattern Discovery with Local Near Sets, Proceedings of the CWPR Chilean Workshop on Pattern recognition, JCC 2012, Valparaiso, Chile, Nov. 12-17, 2012
P. K. Atrey, H. Ibrahim, M. A. Hossain, S. Ramanna, and A. El Saddik, Determining trust in media-rich websites using semantic similarity. Springer Journal of Multimedia Tools and Applications, 60(1): 69--96 (2012).
J.T.Yao S.. Ramanna, G.Wang, Z.Suraj , X. Wang, (Eds). Proceedings of the 6th International Conference on Rough Sets and Knowledge Technology, 2011, LNCS 6954.
B. Madduma, S. Ramanna: Image retrieval based on high level concept detection and semantic labelling. Intelligent Decision Technologies 6(3): 187--196 (2012)
Henry, C.J., Ramanna, S.: Parallel computation in finding near neighbourhoods. In: Proceedings of the 6th International Conference on Rough Sets and Knowledge Technology (RSKT11). pp. 523--532. Lecture Notes in Computer Science, Springer (2011)
S.Ramanna, A. Meghdadi, J.F. Peters, Nature-Inspired Framework for Measuring Visual Image Resemblance: Near Rough Set Approach, Theoretical Computer Science, 2011, DOI: 10.1016/j.tcs.2011.05.044.
S. Ramanna, J.F. Peters, Approach Space Framework for Image Database Classification, Proceedings of In Tech 2011, Springer, 1-15, 2011.
B.Madduma, S. Ramanna, Content-based Image Authentication Framework with Semi-fragile Hybrid Watermark Scheme, International Conference on Man-Machine Interactions, Springer Poland, October 6-9, 2011.
D.Lockery, J.F.Peters, S.Ramanna, B.Shay, T. Szturm, Store-And-Feed-Forward Adaptive Gaming System for Hand-Finger Motion-Tracking in Telerehabilation, IEEE Transactions on Information Technology in Bio Medicine, 15(3), 2011, 467-473.
Wasilewski, P., Peters, J.F., Ramanna, S. Perceptual tolerance intersection, Springer Transactions on Rough Sets XIII, 2011, 159-174.
C.J. Henry, S. Ramanna, Parallel computation in Finding Near Neighbourhoods, Proceedings of RSKT, Lecture Notes in Computer Science, LNCS 6954, Springer, 2011, 514-523.
P. K. Atrey, K. Hildebrand, S.Ramanna. Efficient Method for Protection of Text Documents using Secret Sharing. IEEE Informatics Bulletin, Proceedings of ICFOC 2011, India.
A. Adhikari, L.C.Jain, S.Ramanna. Analyzing Effect of Database Grouping on Multi-Database Mining. IEEE Informatics Bulletin, 2011.
S. Ramanna, J. F. Peters, W-Z. Wu. Content-Based Image Retrieval: Perceptually Near Tolerance Rough Set Approach Journal of Zhejiang Ocean University (Natural Science) 29 (5), 2010, 462-471, ISSN 1008-830X..
S. Ramanna. Discovering image similarities: Tolerance near set approach. In Pal, S., Peters, J.,(Ed) Rough Fuzzy Image Analysis. CRC Press (2010) 12.1–12.15.
S. Ramanna, Perceptually near pawlak partitions, Springer Transactions on Rough Sets Journal, LNCS 6190 (XII) (2010) 170-192.
P. Wasilewski, J. F. Peters, S. Ramanna, Perceptual tolerance intersection, Lecture Notes in Computer Science, LNCS 6086, Springer, 2010, pp. 277–286.
S. Ramanna, Image Analysis in Poincare-Peters Perceptual Representative Spaces. In: Kawsnicka, H., Jain, L. (Eds.), Innovations in Intelligent Image Analysis, Berlin, Springer, 2010
S. Ramanna and J.F. Peters. Near Sets in Assessing Conflict Dynamics within a Perceptual Information System Framework. In: Yao, J.T. (Ed.) Novel Developments in Granular Computing Applications for Advanced Human Reasoning and Soft Computation. Information Science Reference, NY, (2010) 8.1–8.20
Peters, J.F., Szturm, T., Shay, B., Borkowski, M., Lockery, D., Ramanna, S. Wireless adaptive therapeutic telegaming in a pervasive computing environment. In: Hassanien, A. Abawajy, J.H., Abraham, A. Hagras, H. (Eds.), Pervasive Computing. Innovations in Intelligent Multimedia and Applications, Computer Communications and Networks Series. Berlin, Springer-Verlag, 2010, 1-23, ISBN 978-1-84882-598-7.
S. Ramanna, A, H. Meghdadi. Measuring resemblances between swarm behaviours: A perceptual tolerance near set approach, Fundamenta Informatica 95 (4) (2009) 533–552, iSSN:0169-2968.
J. F. Peters, S. Ramanna. Discovering Affinities Between Perceptual Granules. Tolerance Near Set Approach. Plenary Talk, International Conference on Rough Sets, Fuzzy Sets and Soft Computing, Tripura University, India, November 2009.
J. F. Peters, S. Ramanna. Affinities between perceptual granules: Foundations and Perspectives. In Bargiela, A., Pedrycz, W. (Eds.) Human-Centric Information Processing Through Granular Modelling, Berlin, Springer-Verlag, (2009) 49-66
H. Fashandi, J.F. Peters, S. Ramanna. L2-norm length-based image similarity measures: Concrescence of image feature histogram distances, Signal and Image Processing, (2009) Hawaii, 178-185.
A. Meghdadi, J.F. Peters, S. Ramanna. Tolerance classes in measuring image resemblance, Volume KES 2009 Part II LNAI 5712, (2009) 127–134.
Pattaraintakorn, P., Peters, J.F., Ramanna, S. Capacity-Based Definite Rough Integral and Its Application. Proc. Int. Conf. on Man-Machine Interactions, (2009) 299-311.
R.Bhatt, S. Ramanna, J.F. Peters. Approximating Parameterized Fuzzy Membership Functions from Clustered Raw Data, Int. J. of Fuzzy Systems and Rough Systems, [in press].
R.Bhatt, S. Ramanna, J. F. Peters. Software Defect Classification: A Comparative Study of Rough-Neuro-Fuzzy Hybrid Approaches with Linear and Non-Linear SVMs, J. Kacpryzyk (Ed.) Studies in Computational Intelligence, Berlin, Springer-Verlag, (2008) 213-232
J. F. Peters, S. Ramanna. Feature Selection: A near set approach. Mining Complex Data. LNCS 4944, Springer-Verlag, Berlin (2008) 57-71.
S. Ramanna. Conflict analysis in the framework of rough sets and granular computing, Handbook of Granular Computing, (2008) 1038-1053.
S. Ramanna, J.F. Peters, A. Skowron. Approximate Adaptive Learning During Conflict Resolution, Journal of Information Technology and Intelligent Computing, (2007) 25-40.
S. Ramanna, R. Bhatt, P. Biernot, Software Defect Classification: A Comparative Study with Rough-Hybrid Approaches, Proceedings of RSEISP’07, LNCS 4585, Springer-Verlag, Berlin (2007) 630-638.
S. Ramanna, R. Bhatt, P. Biernot. A Rough-Hybrid Approach to Software Defect Classification, Proceedings of RSFDGrC’07, LNCS 4482, Springer-Verlag, Berlin (2007) 79-86.
S. Ramanna, J.F. Peters, A. Skowron. Approximation Space-based Socio-Technical Conflict Model, Proceedings of RSKT’07, LNCS 4481, Springer- Verlag, Berlin (2007) 476-483.
J.F. Peters, S. Shahfar, S. Ramanna. T. Szturm, Biologically-inspired adaptive learning: A near set approach, In: Proc. Frontiers in the Convergence of Bioscience and Information Technologies (FBIT07),2007, 403-408.
S. Ramanna, A. Skowron. Requirements Interaction and Conflicts: A Rough Set Approach, Proceedings of IEEE Symposium Series on Foundations of Computational Intelligence (IEEE SCCI 2007) Honolulu, Hawaii, 1-5 April 2007
S. Ramanna, J.F. Peters, A. Skowron. Approaches to conflict dynamics based on rough sets. Fundamenta Informatica 75 (2006) 1-16.
S. Ramanna and R. Fazel-Rezai. P300 Wave Detection based on Rough Sets. Transactions on Rough Sets V, (2006) 201-219.
S. Ramanna, J.F. Peters, A. Skowron, Generalized conflict and resolution model with approximation spaces. In: Iniuguchi, M., Greco, S., Nguyen, H.S. (Eds.), Proc. of RSCTC’06, LNAI, 4259. Springer-Verlag, Berlin (2006) 274-283.
S. Ramanna, J.F. Peters, A. Skowron. Analysis of Conflict Dynamics by Risk Patterns. Proceedings of the Workshop on Concurrency, Specification and Programming (CS&P 2006), Germany, September 27-29 (2006).
A. Skowron, S. Ramanna, J.F. Peters. Conflict Analysis and Information Systems: A Rough Set Approach. Proceedings of RSKT’06, LNCS 4062, Springer- Verlag, Berlin (2006) 233-241.
R. Fazel-Rezai, S. Ramanna. Brain Signals: Feature Extraction and Classification using Rough Set Methods. In: D. Slezak et al (Eds.), Proc. of RSFDGrC’05, LNCS 2642, Springer- Verlag, Berlin (2005) 709-718
J.F. Peters, C. Henry, S. Ramanna. Rough ethograms: A study of intelligent system behavior. In: Mieczyslaw A. Klopotek, Slawomir Wierzchon, Krzystof Trojanowski(Eds.), Intelligent Information Systems. Advances in Soft Computing, Springer-Verlag, Heidelberg, (2005) 117-126
J.F. Peters, D. Lockery, S. Ramanna. Monte-Carlo Off-Policy Reinforcement Learning: A Rough Set Approach, 5th Hybrid Intelligent Systems Conference, Brazil, 2005, 187-192.
J.F. Peters, C. Henry, S. Ramanna. Reinforcement learning in swarms that learn. In: Proc. 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT’2005), France, September (2005) 400-406.
J.F. Peters, C. Henry, S. Ramanna. Reinforcement learning with pattern-based rewards. Proc. Fourth International IASTED Conference on Computational Intelligence, Calgary, Alberta (2005), 267-272.
S. Ramanna. Approximate Reasoning about Software Models. In: Proc. North America Fuzzy Information Processing Society (NAFIPS 2004), Banff, June 2004, 791-795.
J. F. Peters, S. Ramanna. Measuring acceptance of intelligent system models. Proceedings of 8th Int. Conf. on Knowledge-Based Intelligent Information and Engineering Systems, Systems, Wellington, New Zealand, 20-25 September, 2004, 764-771.
J. F. Peters, S. Ramanna. Hierarchical behavioral model of a swarmbot}. In: Ruczynski, T., Cholewa, W., Moczulski., W. (Eds.), Proceedings of Methods of Artificial Intelligence (AIMETH04), Gliwice, 2004, 105-106.