AI/ML Publications
IP Aptly principals have published over 25 peer-reviewed AI/ML conference and journal papers
Publications
- M. Blume, G. Heidari, and C. Hewel, “Comparing Complex Concepts with Transformers: Matching Patent Claims Against Natural Language Text“, 5th Workshop on Patent Text Mining and Semantic Technologies (ACM SIGIR/PatentSemTech’24), 2024.
- R. Chikkamath, A. Sharma, C. Hewel, & M. Endres, “ChatGPT vs. Google Gemini: Assessing AI Frontiers for Patent Prior Art Search Using European Search Reports“, SemTech4STLD@ESWC ’24, 2024.
- R. Chikkamath, R. F. Ali, C. Hewel, & M. Endres, “Explainable Artificial Intelligence for Highlighting and Searching in Patent Text“, SIGIR/PatentSemTech ’23, 2023.
- M. Endres, & R. Chikkamath, “PaSA: a dataset for Patent Sentiment Analysis to highlight patent paragraphs“, ICAIL ’22, 2022.
- R. Chikkamath, V. R. Parmar, C. Hewel, & M. Endres, “Patent sentiment analysis to highlight patent paragraphs“, 2021.
- R. Krestel, R. Chikkamath, C. Hewel, & J. Risch, “A survey on deep learning for patent analysis“, World Patent Information, 65, p. 102035, 2021.
- J. Risch, N. Alder, C. Hewel, & R. Krestel, “Patentmatch: a dataset for matching patent claims & prior art“, SIGIR/PatentSemTech ’21, 2021.
- R. Chikkamath, M. Endres, L. Bayyapu, & C. Hewel, “An empirical study on patent novelty detection: A novel approach using machine learning and natural language processing“, Seventh International Conference on Social Networks Analysis, Management and Security (SNAMS), 2020.
- J. Xie, M. Blume, et al., “Feature Engineering in User’s Music Preference Prediction”, JMLR Workshop and Conference Proceedings, 18, p. 183-197, 2012.
- H. Ji, M. Blume, et al., “Name Extraction and Translation for Distillation”, in Handbook of Natural Language Processing and Machine Translation, 2011.
- M. Blume and P. Kalmar, “Methods for Evaluating Entity Disambiguation”, Workshop on Resources and Evaluation for Identity Matching, Entity Resolution and Entity Management, 6th International Conference on Language Resources and Evaluation (LREC), 2008.
- P. Kalmar and M. Blume, “Web Person Disambiguation Via Weighted Similarity of Entity Contexts“, 4th International Workshop on Semantic Evaluations (SemEval-2007), 2007.
- D. Freitag, M. Blume, et al., “New Experiments in Distributional Representations of Synonymy”, Conference on Natural Language Learning, 2005.
- M. Blume, “Automatic Entity Disambiguation: Benefits to NER, Relation Extraction, Link Analysis, and Inference“, First International Conference on Intelligence Analysis, 2005.
- D. Freitag, M. Blume, et al., “A Workbench for Rapid Development of Extraction Capabilities”, First International Conference on Intelligence Analysis, 2005.
- S. Kapadia, M. Blume, et al., “Unsupervised CART for High Performance POS Tagging”, in Proceedings of the International Conference on Information Systems: New Generations, p. 29-32, 2004.
- P. Dumrong, M. Blume, et al., “The Quantification of Unstructured Information and its Use in Predictive Modeling”, in Proceedings of the 2003 IEEE Systems and Information Engineering Design Symposium, p. 225-232, 2003.
- M. Blume and D. A. Van Blerkom, “Fuzzy ARTMAP Modifications for Intersecting Class Distributions”, in Innovations in ART Neural Networks, p. 27-54, 2000.
- M. Blume, “Optical Interconnection Architectures for Neural Networks“, Ph.D. Dissertation, University of California at San Diego, 1999.
- M. Blume and S. C. Esener, “An Efficient Mapping of Fuzzy ART onto a Neural Architecture”, Neural Networks, 10:3, p. 409-411, 1997.
- M. Blume and D. Ballard, “Image Annotation Based on Learning Vector Quantization and Localized Haar Wavelet Transform Features”, in Applications and Science of Artificial Neural Networks III (Proc. SPIE, 3077, p. 181-190), 1997.
- A. V. Krishnamoorthy, M. Blume, et al., “Artificial Neural Systems Based on Free-space Optical Interconnects”, in The Fuzzy Logic and Neural Networks Handbook, p. 30.1-30.39, 1996.
- M. Blume, D. A. Van Blerkom and S. C. Esener, “Fuzzy ARTMAP Modifications for Intersecting Class Distributions”, World Congress on Neural Networks, p. 250-255, 1996.
- M. Blume and S. C. Esener, “An Efficient Mapping of Fuzzy ART Onto a Neural Architecture”, World Congress on Neural Networks, p. 1331-1334, 1996.
- A. V. Krishnamoorthy, M. Blume, et al., “Hardware Tradeoffs for Boolean Concept Learning”, World Congress on Neural Networks, 1, p. 551-559, 1994.
- A. V. Krishnamoorthy, M. Blume, et al., “Hardware Efficient Learning on a 3-D Optoelectronic Neural System”, 1994 IEEE International Conference on Neural Networks, 3, p. 1998-2003, 1994.
Granted AI/ML Patents
- M. Blume, D. B. Freitag, and Z. Wang, “Translation of entity names based on frequency and co-occurrence of the entity names”, United States Patent 8,706,474.
- M. Blume, et al., “System and method for optimizing paid search advertising campaigns based on natural search traffic”, United States Patent 8,396,742.
- M. Blume and B. Harris, “Cardholder localization based on transaction data”, United States Patent 8,025,220.
- U. Mayer, V. Narayanan, and M. Blume, “Fast accurate fuzzy matching”, United States Patent 7,870,151.
- M. Blume, et al., “Method and apparatus for automatic entity disambiguation”, United States Patent 7,672,833.
- M. Blume, et al., “Predictive modeling of consumer financial behavior using supervised segmentation and nearest-neighbor matching”, United States Patent 7,533,038, United States Patent 7,165,037 & United States Patent 6,839,682.
- M. A. Lazarus, M. Blume, et al., “Predictive modeling of consumer financial behavior”, United States Patent 6,430,539.