Gabor Melli
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Gabor Melli is a person.
- Context:
- He can (typically) be a Male Human,
- He can (typically) be a Masculine Person.
- He can (typically) be a Lucky Person.
- ...
- He can (often) be a Materialist, Consequentialist, Existentialist, Disentropian.
- He can (often) be a Gabor Melli Volunteer such as for academic community service.
- He can (often) be in Gabor Melli Friend Relationships (friend relationship).
- He can (often) have Gabor Melli Research Topics (and Gabor Melli research rrojects).
- He can (often) be a Gabor Melli Volunteer such as for academic community service.
- He can (often) be a Gabor Melli Son ...
- He can (often) be a Gabor Melli Partner ...
- He can (often) be a Gabor Melli Friend in Gabor Melli Friend Relationships (friend relationship).
- He can (often) be a Gabor Melli Colleague ...
- ...
- He can be a Gabor Melli Creator, ...
- He can be a Gabor Melli Listener, ...
- He can be a Gabor Melli Expert (e.g. in data mining, predictive analytics, supervised learning, text mining, fact-oriented modeling, terminology creation, ...)
- He can be a Gabor Melli Author (of research publication[1]).
- He can be a Gabor Melli Photographer of Gabor Melli photographs.
- He can be a Gabor Melli Researcher of Gabor Melli research.
- He can be a Gabor Melli Presenter of Gabor Melli presentations.
- He can be a Gabor Melli Wiki Maintainer of "GM-RKB" wiki.
- ...
- He can have an Erdős Number of 4 (via Jiawei Han).
- He can be represented by a Gabor Melli AI Bot.
- ...
- He can have been employed for projects at 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, Felix Chen, Sonny Che, Siavash Amerezvani, Maria Lantin, Martin Ester, Jiawei Han, Christian Romming, Osmar Zaiane, Anoop Sarkar, Jerre McQuin, Katrin Tomanek, ...
- He can have a Gabor Melli Vision Statement.
- ...
- Example(s):
- Gabor Melli of 1900+.
- Gabor Melli of 1960+.
- Gabor Melli of 1975.
- Gabor Melli of 1980.
- Gabor Melli of 1985.
- Gabor Melli of 1990.
- Gabor Melli of 1995.
- Gabor Melli of 2000.
- Gabor Melli of 2005.
- Gabor Melli of 2010.
- Gabor Melli of 2015.
- Gabor Melli of 2020.
- Gabor Melli of 2025.
- Gabor Melli of 2030*.
- Gabor Melli of 2035*.
- Gabor Melli of 2100*.
- …
- Counter-Example(s):
- See: Predictive Analytics, Text Mining, Mass Technological Unemployment.
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
- ...
2025-05-10
- Deep Research https://chatgpt.com/share/682179a8-db58-8012-8a18-ea18b84a4fa0
- Question: Please conduct deep research on Gabor Melli, covering both personal and professional aspects, using verified and reputable sources where possible.
- Answer: Gabor Melli is a computer scientist and technology executive known for his work in AI, machine learning, and data science. His career spans over two decades, with degrees from the University of British Columbia and Simon Fraser University, where his doctoral research focused on document-to-ontology interlinking.
- Background and Education: Gabor Melli is a computer scientist and technology executive known for his work in AI, machine learning, and data science. He is often described as a prominent figure in these fields, reflecting a career spanning over two decades. Melli earned his academic degrees in Canada, obtaining a Bachelor of Science in Computer Science from the University of British Columbia and subsequently completing both a Master's and a Ph.D. in Computer Science at Simon Fraser University. His doctoral research at SFU focused on document-to-ontology interlinking, an area of knowledge representation within AI. Melli's strong scientific background is evidenced by his numerous publications (over two dozen research papers as of 2013) in data mining and AI venues. He combines this research mindset with a practical engineering approach, frequently stating that his philosophy is to "make the universe a little more beautiful" through practical AI innovations.
- Professional Career:
- Early Industry Roles (1990s–2000s): After his education, Melli embarked on a career applying machine learning and data mining in industry. He worked on or led AI and data-centric projects at several major companies. For example, he contributed to initiatives at Microsoft, AT&T Wireless (Cingular), T-Mobile, Verizon, Washington Mutual, and Wal-Mart, among others. During this period, he also took on roles at or founded a number of tech startups. Notably, he was involved with startups such as DataSage, Meals.com, PredictionWorks, and others, building predictive models and data-driven solutions. In 1997, Melli created a publicly available synthetic data set generator, an early contribution to the data mining community. He later co-founded the Data Mining Case Studies workshop series in 2005 to bridge academic and applied data science, demonstrating his early commitment to practical AI applications.
- Leadership Positions (2010s–Present): Melli has since held a series of senior roles leading AI and engineering teams:
- VigLink (2011–2015): Melli served as Chief Scientist at VigLink Inc., a San Francisco-based content monetization startup. In this role he applied data mining and semantic analysis to optimize in-text advertising links, driving revenue for online publishers. By 2013, VigLink credited Melli with developing data-driven solutions for semantic information processing on their platform. Prior to joining VigLink, he had already led projects for large enterprises like Microsoft and AT&T, experience that helped inform his work in the startup environment.
- OpenGov (2015–2017): Melli became Director of Data Science at OpenGov, a government technology company, where he led efforts to automate knowledge-intensive, text-rich workflows in the public sector. His team at OpenGov built predictive models for tasks such as named-entity recognition and document classification to help municipal governments analyze data. This work involved applying natural language processing (NLP) and machine learning (using tools like CRFs, SVMs, and Spark) to civic data and documents. Under Melli's leadership, OpenGov expanded its use of AI to improve public finance and budgeting tools, reflecting his ability to bring cutting-edge AI into enterprise software.
- Sony PlayStation Network (2017–2021): Melli next joined Sony Interactive Entertainment (PlayStation) as a senior engineering leader. He spent about four and a half years at PlayStation, ultimately serving as Senior Director of Engineering for Machine Learning & AI. In this capacity, he oversaw development of AI-driven features for the PlayStation Network and console ecosystem. For example, Melli's team built platforms for data ingestion and storage, A/B testing frameworks, recommendation engines, and a feature store to power personalized gaming experiences on PS4/PS5. He has noted that these efforts resulted in intelligent data-driven features in the PlayStation Store, improved game content recommendations, and systems for fraud/spam detection in gaming. Melli's work at Sony exemplified scaling AI in a consumer context—delivering real-time personalization and insights to millions of users. According to a later account, he helped make PlayStation "the most intelligent gaming experience to date" by organizing multiple machine learning engineering teams and deploying AI services at scale.
- Medable, Inc. (2022–2023): After Sony, Melli took on the role of Vice President of Engineering for AI/ML at Medable, a health-tech platform for decentralized clinical trials. At Medable (based in San Francisco), he led engineering efforts to incorporate AI into clinical trial processes – for example, using machine learning to improve patient data management and trial efficiency. His background in deploying production ML at large enterprises (from Sony and earlier roles) was leveraged to build Medable's cloud-based, AI-enabled clinical trial system. This role underscored Melli's versatility in applying AI across domains, from gaming to healthcare.
- LegalOn Technologies (2023–Present): In August 2023, Gabor Melli was appointed as the first-ever Vice President of Artificial Intelligence at LegalOn Technologies, a global contract review software company. This position places him at the forefront of applying generative AI and machine learning to the legal tech domain. At LegalOn, Melli is responsible for steering a multi-million dollar investment in AI development and integrating advanced AI into the company's contract review products. LegalOn cited Melli's "deep expertise in using AI, data science, and machine learning to build world-class products across consumer and enterprise companies" when announcing his hire. In this role, he leads strategic AI initiatives to transform how legal teams review and edit contracts, working on tools that use GPT-4 and other AI to assist lawyers. By 2024, Melli was publicly demoing LegalOn's AI capabilities (such as an AI contract assistant) alongside the CEO, explaining how their system can answer legal questions and draft contract clauses automatically. His move to LegalOn from Medable was noted in legal industry press as an example of a tech veteran bringing cross-industry AI experience into legal technology.
- Community Involvement and Achievements: Beyond his direct employment, Gabor Melli has been highly active in the broader data science and AI community. He has contributed significant volunteer service to professional organizations and conferences in the field of Knowledge Discovery and Data Mining (KDD). In 2013, Melli was honored with the ACM SIGKDD Service Award, the highest service award in the KDD field, "for his outstanding service and contributions to the global KDD community." This award recognized Melli's many years of community work: starting in 1997 he released a popular synthetic dataset generator for data mining research, and in 2005 he co-founded the Data Mining Case Studies workshop series. He also served as the Information Director for ACM SIGKDD, helping disseminate knowledge and organize the community's activities. Over the years, Melli has held various organizing roles for international conferences like KDD, IEEE ICDM, and ACM CIKM – including positions as Workshops Chair, Publications Chair, Sponsorship Chair, Contest Chair, and more. Through these roles he facilitated conference operations and even initiated projects to improve how knowledge is shared; for example, he began developing an extensive web-based knowledge base of KDD concepts (the genesis of his GM-RKB site) to support the community's learning.
- In addition to the SIGKDD Service Award, Melli's professional achievements include his successful leadership of AI teams and projects that delivered business value. While these are not "awards" per se, they have been noted in press releases and company milestones. For instance, at Sony his team's work significantly enhanced the PlayStation Network's intelligence, and at LegalOn he is leading a high-profile AI initiative backed by major investment. His dual strength in research and engineering is often highlighted by employers – he is seen as bringing "a scientist's mind" to industry problems. This ability to straddle academia and industry has earned him a respected reputation. Internally, companies have credited him with developing novel AI-driven features (such as VigLink's in-text ad placement AI and LegalOn's contract review assistant). While titles like "AI thought leader" are sometimes ascribed informally, Melli's recognition has largely come from concrete contributions and peer acknowledgment within the data science community.
- Publications and Research Contributions: Gabor Melli has an extensive list of publications in the fields of machine learning, data mining, and AI. By 2013, he had authored over 25 peer-reviewed papers on topics ranging from predictive modeling to text mining. (His Google Scholar profile lists work in areas such as automated predictive modeling, information extraction, and ontology learning.) As of the mid-2020s, he has continued to publish research – one source notes he has 19 refereed publications, though the count varies by source. The focus of Melli's academic research has often been on semi-supervised learning and natural language processing, reflecting his interest in making sense of unstructured text data. For example, his Ph.D. work explored linking textual documents to formal ontologies (bridging natural language and structured knowledge). He has also co-authored papers on topics like database mining and machine learning integration, indicative of early work with his academic advisors at SFU.
- Melli has presented his research at major conferences in the AI field. He has given talks or had papers at venues such as AAAI (Association for the Advancement of AI), ACM KDD (Knowledge Discovery and Data Mining), LREC (Language Resources and Evaluation Conference), and IEEE ICDM (Data Mining). His contributions include not just technical innovations but also practical case studies – for instance, he co-edited volumes of data mining case studies that illustrate how analytics can solve real business problems. According to ACM SIGKDD, Melli's work in publishing and curating knowledge bases has helped disseminate best practices in data science. His publications collectively have garnered several thousand citations, and he remains actively engaged in research discussions (e.g. serving as a reviewer for conferences and journals in his field).
- It's worth noting that much of Melli's writing is available through non-traditional outlets as well. He has written articles on Medium (such as previews of interesting KDD conference papers) to help popularize new research. He also maintains a personal "research blog" (described below) where he documents AI concepts and his own models. These efforts show his inclination to share knowledge and to stay at the forefront of AI research trends, even while working in industry.
- Media Appearances and Coverage: While not a household name, Gabor Melli has appeared in professional and industry media, especially in contexts related to his work. His appointment to LegalOn was announced via a press release on Business Wire in 2023, which highlighted his credentials and featured his vision for AI in the legal field. In that press announcement, Melli was quoted explaining his draw to LegalOn: "tremendous opportunity to transform legal through AI… with advances in AI we can now make those possibilities real". This coverage positioned him as a key figure leading AI innovation in legal tech. Law360 Pulse and other legal tech outlets also reported on his move to LegalOn, noting that he came from a VP role at Medable and bringing attention to his "technology veteran" status.
- Melli's work has occasionally been profiled in tech blogs and conference interviews. For example, after joining Sony, he participated in the Asilomar AI Principles discussions (Beneficial AI 2017 conference) and was listed as a signer of those AI ethics principles, identified in that context as Sony's Senior Director of ML & AI. He has been an invited speaker at events like Data Day Texas 2017, where he spoke on NLP applications; the event program introduced him and detailed his achievements in industry and academia. More recently, in early 2024, Melli was featured in a demonstration for LawNext (LawSites) showcasing LegalOn's generative AI assistant for contracts. In that demo, he and LegalOn's CEO walked a legal tech journalist through how their AI can answer questions about a contract and suggest new clauses, with Melli providing expert commentary on the AI's training and security. Such media appearances illustrate Melli's role as a public-facing expert when the products he leads are in the spotlight.
- Additionally, Melli has appeared in community webinars and podcasts geared toward AI practitioners. In February 2023, he gave an industry talk webinar for a Canadian research initiative (CREATE SE4AI) discussing how to deploy effective machine learning models in production, drawing on his experiences at Sony and Medable. He has also been involved in organizing or speaking at KDD conference workshops and panels, given his long association with that community. Overall, while Gabor Melli maintains a relatively low public profile (he is not a media personality), he is well-known in the data science circle and is sought out for his insights when it comes to applying AI in real-world scenarios. Any narratives portraying him as an AI "guru" or visionary tend to come from company marketing (for instance, LegalOn's blog enthusiastically emphasizes his decades of experience and optimism about AI), whereas more objective coverage focuses on the concrete projects he's led and the outcomes of those projects.
- Online Presence and Personal Projects: Gabor Melli maintains an active online presence, through which he shares knowledge and stays connected with the AI community. Central to this is his personal website (gabormelli.com), where he hosts what he calls his "Research Knowledge Base" (GM-RKB) – a structured wiki of concepts, publications, and notes related to artificial intelligence, data mining, and software engineering. This knowledge base is an extensive repository that Melli has been curating, and it reflects his desire to catalog and disseminate AI knowledge (it was even noted by SIGKDD for its value to the community). On the site, Melli also publishes a personal blog (described by him as a "spotty blog" for occasional posts) and details of his projects. The content ranges from technical explanations of AI models to philosophical musings, and it often links back to his professional work or conference activities.
- In addition to his own site, Melli is present on major professional and social platforms. He has an active LinkedIn profile with thousands of followers, where he shares career updates and industry commentary – for example, he used LinkedIn to announce his transitions such as joining Medable and later LegalOn. His LinkedIn "About" section famously opens with his personal mission to "make the universe a little more beautiful" using AI, which aligns with the ethos he expresses elsewhere. Melli also has a Twitter account (@gmelli) that he used particularly during the mid-2010s to engage with the data science community (the Data Day Texas bio listed his Twitter handle). While not a high-frequency tweeter, he has used the platform to share industry news and interact with colleagues. Furthermore, he can be found on ResearchGate and Google Scholar, where his publication list and citation metrics are available, and on Facebook, though his presence there appears to be more personal in nature.
- Citations:
[1] ACM SIGKDD (2013). "Service Award to Dr. Gabor Melli." [2] Business Wire (Aug 21, 2023). "LegalOn Taps Technology Veteran to Lead Multimillion Dollar Investment in AI." [3] LegalOn Technologies Blog (Aug 22, 2023). "We are LegalOn: Meet Gabor Melli, VP of Artificial Intelligence." [4] Data Day Texas 2017 – Speaker Bio for G. Melli [5] CREATE SE4AI Webinar (Feb 2023) – Speaker introduction for G. Melli [6] LawSites (Bob Ambrogi, Feb 28, 2024). "Contract Review Company LegalOn Releases Generative AI Assistant…" [7] Gabor Melli's personal knowledge base (GM-RKB) (self-published, with cited references)
2025-01-17
- Perplexity.ai
- Question: Please provide information about Gabor Melli, including his professional experience, academic contributions, current role, and education.
- Answer: Gabor Melli is a prominent technology leader and research scientist specializing in Artificial Intelligence, Machine Learning, and Data Science. He currently serves as the first Vice President of Artificial Intelligence at LegalOn Technologies.
- Professional Experience:
- Key Positions:
- Senior Director of Machine Learning and AI at PlayStation Network.
- Director of Data Science at OpenGov.
- Chief Scientist at VigLink.
- Various consulting roles at major companies including Microsoft, AT&T Wireless, and T-Mobile.
- Key Positions:
- Academic and Research Contributions:
- Research Output:
- Published 19 peer-reviewed research papers.
- Created GM-RKB (semantic wiki) focusing on Machine Learning and related computing fields.
- Received 2013 ACM SIGKDD Service Award for outstanding contributions to Knowledge Discovery and Data Mining Field.
- Research Output:
- Current Role at LegalOn Technologies:
- Development Initiatives:
- Transforming contract review processes for legal teams.
- Developing AI-powered solutions for legal professionals.
- Steering AI strategy following $101 million Series D investment.
- Development Initiatives:
- Educational Background:
- Degrees:
- Ph.D. in Computer Science from Simon Fraser University.
- M.Sc. from Simon Fraser University.
- B.Sc. in Computer Science from University of British Columbia.
- Degrees:
- Vision and Approach:
- Core Philosophy:
- Focus on making the universe "a little more beautiful" through practical AI innovations.
- Combines Scientific Rigor with Practical Engineering to develop impactful AI systems.
- Core Philosophy:
- Professional Experience:
- Citations:
[1] http://www.gabormelli.com/RKB/Gabor_Melli [2] https://www.linkedin.com/posts/melli_im-thrilled-to-share-that-i-have-joined-activity-7099422637377929216-LkIl [3] https://www.businesswire.com/news/home/20230821979077/en/LegalOn-Taps-Technology-Veteran-to-Lead-Multimillion-Dollar-Investment-in-AI [4] https://www.legalontech.com/post/we-are-legalon-meet-gabor-melli-vp-of-artificial-intelligence [5] https://in.marketscreener.com/insider/GABOR-MELLI-A1QDUR/ [6] https://www.kdd.org/news/view/acm-sigkdd-2013-service-award-to-dr.-gabor-melli [7] https://world.aiacceleratorinstitute.com/location/siliconvalley/speaker/gabormelli [8] http://www.gabormelli.com/RKB/Gabor_Melli's_Knowledge_Base_(GM-RKB) [9] https://www.linkedin.com/in/melli [10] https://scholar.google.com/citations?user=VVmkSAYAAAAJ&hl=en [11] https://www.gabormelli.com [12] https://www.gabormelli.com/RKB/Human-AI_Collaboration_Model [13] https://world.aiacceleratorinstitute.com/location/caiosiliconvalley/speaker/gabormelli [14] https://www.facebook.com/gmelli/ [15] https://www.legalontech.com/newsroom?5d6053eb_page=2 [16] https://world.aiacceleratorinstitute.com/location/llmopssiliconvalley/speaker/gabormelli
```
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."
- "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.
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.