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Convolutional neural networks
A. Mahbub Uddin, Miraj, A. Al, Sarma, M. Sen, Das, A., and Gani, M. Manjurul, “Traditional Bengali Food Classification Using Convolutional Neural Network”, in 2021 IEEE Region 10 Symposium (TENSYMP), 2021, pp. 1-8.
S. Salam Aonty, Deb, K., Sarma, M. Sen, Dhar, P. Kumar, and Shimamura, T., “Multi-Person Pose Estimation Using Group-Based Convolutional Neural Network Model”, IEEE Access, vol. 11, pp. 42343-42360, 2023.
Convolutional Neural Network
A. Dalal, “Understanding CNN Hidden Neuron Activations using Concept Induction over Background Knowledge”, THE 23RD INTERNATIONAL SEMANTIC WEB CONFERENCE, ISWC 2024. 2024.PDF icon 2024_ISWC_doctoral.pdf (179.17 KB)
A. Mahbub Uddin, Miraj, A. Al, Sarma, M. Sen, Das, A., and Gani, M. Manjurul, “Traditional Bengali Food Classification Using Convolutional Neural Network”, in 2021 IEEE Region 10 Symposium (TENSYMP), 2021, pp. 1-8.
S. Salam Aonty, Deb, K., Sarma, M. Sen, Dhar, P. Kumar, and Shimamura, T., “Multi-Person Pose Estimation Using Group-Based Convolutional Neural Network Model”, IEEE Access, vol. 11, pp. 42343-42360, 2023.
Context theory
S. S. Sahoo, Bodenreider, O., Hitzler, P., Sheth, A., and Thirunarayan, K., “Provenance Context Entity (PaCE): Scalable Provenance Tracking for Scientific RDF Data”, in Scientific and Statistical Database Management, 22nd International Conference, SSDBM 2010, Heidelberg, Germany, 2010, vol. 6187, pp. 461–470.PDF icon PaCE-SSDBM2010.pdf (810.08 KB)
Concept Induction
A. Dalal, Rayan, R., Barua, A., Vasserman, E. Y., Sarker, K., and Hitzler, P., “On the Value of Labeled Data and Symbolic Methods for Hidden Neuron Activation Analysis”, in 18th International Conference on Neural-Symbolic Learning and Reasoning, NeSy 2024, 2024.PDF icon 2024_NeSy_CI.pdf (358.13 KB)
A. Dalal, Rayan, R., and Hitzler, P., “Error-margin Analysis for Hidden Neuron Activation Labels”, 18th International Conference on Neural-Symbolic Learning and Reasoning, NeSy 2024. Springer , 2024.PDF icon 2024_NeSy_CI_shortPaper.pdf (245.56 KB)
A. Dalal, “Understanding CNN Hidden Neuron Activations using Concept Induction over Background Knowledge”, THE 23RD INTERNATIONAL SEMANTIC WEB CONFERENCE, ISWC 2024. 2024.PDF icon 2024_ISWC_doctoral.pdf (179.17 KB)
Computational modeling
A. Mahbub Uddin, Miraj, A. Al, Sarma, M. Sen, Das, A., and Gani, M. Manjurul, “Traditional Bengali Food Classification Using Convolutional Neural Network”, in 2021 IEEE Region 10 Symposium (TENSYMP), 2021, pp. 1-8.
computational complexity
M. Krötzsch, Rudolph, S., and Hitzler, P., “Complexities of Horn Description Logics”, ACM Trans. Comput. Log., vol. 14, p. 2, 2013.PDF icon Hitzler-HornDLs-2013.pdf (764.32 KB)
Y. Ma, Qi, G., Xiao, G., Hitzler, P., and Lin, Z., “Computational Complexity and Anytime Algorithm for Inconsistency Measurement”, International Journal of Software and Informatics, vol. 4, pp. 3–21, 2010.PDF icon CompComplexity-IJSI2010.pdf (478.9 KB)
Complexity
F. Maier, Ma, Y., and Hitzler, P., “Paraconsistent OWL and Related Logics”, Semantic Web, vol. 4, pp. 395–427, 2013.PDF icon paraOWL-2013.pdf (698.73 KB)
CNN
A. Dalal, Rayan, R., Barua, A., Vasserman, E. Y., Sarker, K., and Hitzler, P., “On the Value of Labeled Data and Symbolic Methods for Hidden Neuron Activation Analysis”, in 18th International Conference on Neural-Symbolic Learning and Reasoning, NeSy 2024, 2024.PDF icon 2024_NeSy_CI.pdf (358.13 KB)
A. Dalal, Rayan, R., and Hitzler, P., “Error-margin Analysis for Hidden Neuron Activation Labels”, 18th International Conference on Neural-Symbolic Learning and Reasoning, NeSy 2024. Springer , 2024.PDF icon 2024_NeSy_CI_shortPaper.pdf (245.56 KB)

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