Publications

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Filters: Author is Monireh Ebrahimi  [Clear All Filters]
2016
M. Ebrahimi, HosseinYazdavar, A., Salim, N., and Eltyeb, S., “Recognition of side effects as implicit-opinion words in drug reviews”. 2016.
2017
M. Ebrahimi, Yazdavar, A. Hossein, and Sheth, A., “Challenges of Sentiment Analysis for Dynamic Events”. 2017.
A. Hossein Yazdavar, “Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media”, in ASONAM, 2017.
2020
A. Eberhart, Ebrahimi, M., Zhou, L., Shimizu, C., and Hitzler, P., “Completion Reasoning Emulation for the Description Logic EL+”, Proceedings of the AAAI 2020 Spring Symposium on Combining Machine Learning and Knowledge Engineering in Practice, vol. 2600. CEUR-WS.org, Stanford University, Palo Alto, California, USA, 2020.PDF icon paper5.pdf (1.89 MB)
P. Hitzler, Bianchi, F., Ebrahimi, M., and Sarker, M. K., “Neural-Symbolic Integration and the Semantic Web”, Semantic Web, vol. 11, no. 1, 2020.
2021
M. Ebrahimi, Eberhart, A., and Hitzler, P., “On the Capabilities of Pointer Networks for Deep Deductive Reasoning”, arXiv, arXiv:2106.09225 vol., 2021.PDF icon 2106.09225.pdf (410.48 KB)
M. Ebrahimi, Sarker, M. K., Bianchi, F., Xie, N., Eberhart, A., Doran, D., Kim, H. S., and Hitzler, P., “Neuro-Symbolic Deductive Reasoning for Cross-Knowledge Graph Entailment”, in AAAI-MAKE 2021, 2021.PDF icon 2021-AAAI_MAKE.pdf (753.28 KB)
M. Ebrahimi, Eberhart, A., Bianchi, F., and Hitzler, P., “Towards Bridging the Neuro-Symbolic Gap: Deep Deductive Reasoners”, Applied Intelligence, 2021.PDF icon APIN2021.pdf (865.93 KB)
M. Ebrahimi, “Towards generalizable neuro-symbolic reasoners”, Kansas State University, Manhattan, KS, 2021.
2022
S. Chowdhury, Ebrahimi, M., Hitzler, P., and Eberhart, A., “Memory Networks for RDFS Reasoning: Experiments”, SemREC-SMART 2022, Joint Proceedings of SemREC 2022 and SMART 2022 co-located with 21st International SemanticWeb Conference (ISWC 2022). CEUR Workshop Proceedings 3337, CEUR-WS.org 2023, Hangzhou, China, pp. pp. 28-32, 2022.
A. Jana, Paudel, B., Sarker, M. K., Ebrahimi, M., Hitzler, P., and Amariucai, G. T., “Neural Fuzzy Extractors: A Secure Way to Use Artificial Neural Networks for Biometric User Authentication”, Proceedings of Privacy Enhancing Technologies , vol. 2022 (4), pp. 86-104, 2022.PDF icon 2020-arxiv-nfes.pdf (408.14 KB)
P. Hitzler, Eberhart, A., Ebrahimi, M., Sarker, M. K., and Zhou, L., “Neuro-symbolic approaches in artificial intelligence”, National Science Review, vol. 9, no. 6, 2022.
2023
G. T. Amariucai, Hitzler, P., Jana, A., Ebrahimi, M., and Sarker, M. K., “Secure Architecture for Biometric Authentication”, 2023.