Gabor Melli

Gabor Melli is a person.

• Context:
  • He can (typically) be a Male, Masculine Human, ...
  • He can (typically) be a Materialist, Consequentialist, Existentialist, Disentropian, AI Researcher, …
  • He can (typically) have Gabor Melli Research Topics (and Gabor Melli research rrojects).
  • He can (often) volunteer for Academic Community Service.
  • ...
  • He can be an Expert (e.g. in data mining, predictive analytics, supervised learning, text mining, fact-oriented modeling, terminology creation, ...)
  • He can be an Author (of research publication[1]).
  • He can be a Presenter of presentations.
  • He can be a Wiki Maintainer (e.g. of GM-RKB Semantic Wiki).
  • He can be a Blogger, e.g. of a Gabor Melli blog posts.
  • He can be a Video Recorded.
  • He can have an Erdős Number of 4 (via Jiawei Han).
  • He can have been employed for projects at S.F.U., Metro Vancouver, DataSage, Meals.com, PredictionWorks, Wal*Mart, Bridges, Inc., T-Mobile, AT&T Wireless, ICBC, Cingular, Washington Mutual, Microsoft, VigLink, OpenGov, Sony PlayStation, Medable, LegalOn, ...
  • He can have collaborated with Brendan Kitts, Martin Ester, Maria Lantin, Jiawei Han, Osmar Zaiane, Jerre McQuin, Anoop Sarkar, Katrin Tomanek, ...
  • ...
• Example(s):
  • Gabor Melli of 1940 (aka ...).
  • Gabor Melli of 1960 (aka ...).
  • Gabor Melli of 1965 (aka ...).
  • Gabor Melli of 1966.
  • Gabor Melli of 1975.
  • Gabor Melli of 1985.
  • Gabor Melli of 1995.
  • Gabor Melli of 2005.
  • Gabor Melli of 2015.
  • Gabor Melli of 2030.
  • Gabor Melli of 2100.
  • …
• Counter-Example(s):
  • Settimio Melli.
  • Artur Schmidt.
• See: Predictive Analytics, Text Mining, Mass Technological Unemployment.

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References

• Gabor Melli Research Publication.
• Google Scholar Author Page: http://scholar.google.com/citations?user=VVmkSAYAAAAJ
• DBLP Author Page: http://www.informatik.uni-trier.de/~ley/db/indices/a-tree/m/Melli:Gabor.html

2024-05-10

• https://www.perplexity.ai/search/Who-is-Gabor-2sboxXCCQC6yPfzHUGDRQQ
  • Gabor Melli is a technology veteran and research scientist with deep expertise in using AI, data science, and machine learning to build world-class products across consumer and enterprise companies. He has been appointed as the first-ever Vice President of Artificial Intelligence at LegalOn Technologies, a global leader in contract review software. Melli has 19 peer-reviewed research publications and has led teams of engineers and data scientists at companies like Sony PlayStation, OpenGov, VigLink, and Microsoft. He brings decades of experience in applying cutting-edge research to build impactful AI systems and integrate AI into products and professional tools. As VP of AI at LegalOn, Melli will steer the company's multi-million dollar investment in AI development in 2023 and support its ambitious product roadmap to transform the contract review process for legal teams in the United States. He joins LegalOn at an inflection point in its growth, following a $101 million Series D investment led by SoftBank to fuel its US expansion and AI development. Melli has a strong academic background, with citations and co-authors from prestigious institutions like Simon Fraser University, University of Illinois, UCLA, Carnegie Mellon University, and others, according to his Google Scholar profile. He aims to make the universe "a little more beautiful" through his work in AI, as stated on his LinkedIn profile.

2024-04-21

• GPT-4 Chatbot - "Who is Gabor Melli?"
  • "Gabor Melli is a recognized expert in the fields of data science and artificial intelligence, with a strong focus on machine learning and data mining. His contributions span both academic and industrial contexts, where he has enhanced systems for processing and analyzing large datasets.

    Melli's work has consistently involved leading data science and machine learning projects, particularly in the realm of predictive analytics. He is an active member of the data science community, contributing through published research and by presenting at conferences and workshops. His roles in various organizations have centered on applying his expertise to address practical, real-world challenges.

    Throughout his career, Melli has been influential in the field of data science, mentoring others and developing sophisticated data analysis models and techniques."

2024-01-11

• GPT-4 Chatbot - "Who is Gabor Melli?"
  • Gabor Melli, Ph.D., is a prominent figure in artificial intelligence, machine learning, and data science. As of August 2023, he was appointed as the first Vice President of Artificial Intelligence at LegalOn Technologies, a global leader in contract review software . Melli has a notable professional background, serving as the Senior Director of Machine Learning and AI at PlayStation Network. He possesses over two decades of experience in delivering automated data-driven solutions, and he is known for his leadership and management skills in technical capacities .
  • His career spans several esteemed organizations, including Sony PlayStation, OpenGov, and VigLink, where he contributed to building world-class consumer and enterprise products . Melli's professional passion lies in integrating semantic capabilities into mission-critical processes, reflecting his deep commitment to advancing the application of AI and ML technologies . Additionally, he maintains an online knowledge base, GM-RKB, a semantic wiki with approximately 39,066 pages focusing on various research themes and concepts related to his field of expertise .

2020

• NOTES:
  • Personal Homepage: http://www.gabormelli.com
  • Gabor Melli Research Publication: http://www.gabormelli.com/RKB/Gabor_Melli_Research_Publication
  • Google Scholar Author Page: http://scholar.google.com/citations?user=VVmkSAYAAAAJ
  • DBLP Author Page: https://dblp.uni-trier.de/pid/38/4649.html
  • LinkedIn Page: http://linkedin.com/in/melli
  • SemanticScholar Author Page: https://www.semanticscholar.org/author/Gabor-Melli/50641517
  • Arnetminer Author Page: http://arnetminer.org/viewperson.do?naid=666644
  • ACM DL Author Page: http://portal.acm.org/author_page.cfm?id=81342504372
  • Employer: http://www.predictionworks.com/companyinfo/

2020

• (Melli et al., 2020) ⇒ Gabor Melli, Abdelrhman Eldallal, Bassim Lazem, and Olga Moreira. (2020). “GM-RKB WikiText Error Correction Task and Baselines.”. In: Proceedings of the 12th Language Resources and Evaluation Conference (LREC-2020).

2016

• (Melli, 2016) ⇒ Gabor Melli. (2016). “Semantically Annotated Concepts in KDD's 2009-2015 Abstracts.” In: Proceedings of LangOnto2-TermiKS (LO2TKS) 2016 Workshop.

2014

• (Melli, 2014) ⇒ Gabor Melli. (2014). “Shallow Semantic Parsing of Product Offering Titles (for Better Automatic Hyperlink Insertion).” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623343

2012

• (Melli & Romming, 2012) ⇒ Gabor Melli, and Christian Romming. (2012). “An Overview of the CPROD1 Contest on Consumer Product Recognition within User Generated Postings and Normalization against a Large Product Catalog.” In: Proceedings of the ICDM-2012 Workshop on the CPROD1 Contest.
• (Melli, 2012) ⇒ Gabor Melli. (2012). “Identifying Untyped Relation Mentions in a Corpus given an Ontology.” In: Workshop Proceedings of TextGraphs-7: Graph-based Methods for Natural Language Processing (TextGraphs-7).
• (Melli, Wu, et al., 2012) ⇒ Gabor Melli, Xindong Wu, Paul Beinat, Francesco Bonchi, Longbing Cao, Rong Duan, Christos Faloutsos, Rayid Ghani, Brendan Kitts, Bart Goethals, Geoff Mclachlan, Jian Pei, Ashok Srivastava, and Osmar Zaïane. (2011). “Top-10 Data Mining Case Studies.” In: International Journal of Information Technology & Decision Making, 11(2). doi: 10.1142/S021962201240007X

2010

• (Melli, 2010b) ⇒ Gabor Melli. (2010). “Supervised Ontology to Document Interlinking..” Ph.D. Thesis, Simon Fraser University.
• (Melli & Ester, 2010) ⇒ Gabor Melli, and Martin Ester. (2010). “Supervised Identification and Linking of Concept Mentions to a Domain-Specific Ontology.” In: Proceedings of the 19th ACM International Conference on Information and Knowledge Management (CIKM 2010). doi:10.1145/1871437.1871712
• (Yu et al., 2010) ⇒ Nancy Y. Yu, James R. Wagner, Matthew R. Laird, Gabor Melli, Sébastien Rey, Raymond Lo, Phuong Dao, S. Cenk Sahinalp, Martin Ester, Leonard J. Foster, and Fiona S. L. Brinkman. (2010). “PSORTb 3.0: Improved protein subcellular localization prediction with refined localization subcategories and predictive capabilities for all prokaryotes.” In: Bioinformatics, 26(13). doi:10.1093/bioinformatics/btq249
• (Melli, 2010a) ⇒ Gabor Melli. (2010). “Concept Mentions within KDD-2009 Abstracts (kdd09cma1) Linked to a KDD Ontology (kddo1).” In: Proceedings of the Seventh Conference on International Language Resources and Evaluation (LREC 2010).

2008

• (Melli & McQuinn, 2008) ⇒ Gabor Melli, and Jerre McQuinn. (2008). “Requirements Specification Using Fact-Oriented Modeling: A Case Study and Generalization.” In: Proceedings of Workshop on Object-Role Modeling (ORM 2008). doi:10.1007/978-3-540-88875-8_98

2007

• (Melli et al., 2007) ⇒ Gabor Melli, Martin Ester, and Anoop Sarkar. (2007). “Recognition of Multi-sentence n-ary Subcellular Localization Mentions in Biomedical Abstracts.” In: Proceedings of the 2nd International Symposium on Languages in Biology and Medicine (LBM 2007).
• (Melli, 2007) ⇒ Gabor Melli. (2007). “Inductive Approaches to the Detection and Classification of Semantic Relation Mentions." Depth Report, Simon Fraser School of Computing Science. August 27, 2007.
• (Shi et al., 2007) ⇒ Zhongmin Shi, Gabor Melli, Yang Wang, Yudong Liu, Baohua Gu, Mehdi M. Kashani, Anoop Sarkar, and Fred Popowich. (2007). “Question Answering Summarization of Multiple Biomedical Documents.” In: Proceedings of Canadian AI Conference (CAI 2007).

2006

• (Melli et al., 2006a) ⇒ Gabor Melli, Zhongmin Shi, Yang Wang, Yudong Liu, Anoop Sarkar, and Fred Popowich. (2006). “Description of SQUASH, the SFU Question Answering Summary Handler for the DUC-2006 Summarization Task.” In: Proceeding of Document Understanding Conference (DUC 2006).
• (Melli et al., 2006b) ⇒ Gabor Melli, Osmar R. Zaïane, and Brendan Kitts. (2006). “Introduction to the Special Issue on Successful Real-World Data Mining Applications.” In: ACM SIGKDD Explorations Newsletter, 8(1). doi:10.1145/1147234.1147235
• (Freeman & Melli, 2006) ⇒ Edmund Freeman, and Gabor Melli. (2006). “Championing of an LTV Model at LTC." ACM SIGKDD Explorations Newsletter, 8(1). doi:10.1145/1147234.1147239

2005

• (Melli et al., 2005) ⇒ Gabor Melli, Yang Wang, Yudong Liu, M. M. Kashani, Zhongmin Shi, Baohua Gu, Anoop Sarkar, and Fred Popowich. (2005). “Description of SQUASH, the SFU Question Answering Summary Handler for the DUC-2005 Summarization Task.” In: Proceedings of the Document Understanding Conference (DUC-2005).
• (Kitts, Melli et al., 2005) ⇒ Brendan Kitts, Gabor Melli, and Karl Rexer. (2005). “Proceedings of the Workshop on Data Mining Case Studies. Editors. (website)

2004

• (Melli, 2004) ⇒ Gabor Melli. (2004). “Scribe Notes on FOIL and Inverted Deduction.” In: Scribe Notes for the 2004 SFU course on Machine Learning (SFU CMPT-882 2004).

2003

• (Melli et al., 2003) ⇒ Gabor Melli, Siavash Amirrezvani, Felix Chen, and Neil Russell. (2003). “Column Reduction During Progressive Sampling.” In: Workshop on Data Mining for Actionable Knowledge (DMAK 2003).

1999

• (Melli, 1999a) ⇒ Gabor Melli. (1999). “A Lazy Model-based Algorithm for On-Line Classification.” In: Proceedings of PKDD Conference (PKDD 1999).
• (Melli, 1999b) ⇒ Gabor Melli. (1999). “The datgen Dataset Generator." Version 3.1 http://www.datasetgenerator.com

1998

• (Melli, 1998) ⇒ Gabor Melli. (1998). “A Lazy Model-based Approach to On-Line Classification." Master's Thesis, Simon Fraser University.

1996

• (Melli, 1996) ⇒ Gabor Melli. (1996). “Ad Hoc Attribute-Value Prediction.” In: Proceedings of the Thirteenth National Conference on Artificial Intelligence (AAAI 1996).

1995

• (Han et al., 1995) ⇒ Jiawei Han,Yongjian Fu, Krzysztof Koperski, Gabor Melli, Wei Wang, and Osmar R. Zaiane. (1995). “Knowledge Mining in Databases: An Integration of Machine Learning Methodologies with Database Technologies.” In: Canadian AI Magazine, 38.

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