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   1A NOVEL METHOD BASED ON SYMBOLIC REGRESSION FOR INTERPRETABLE SEMANTIC
   SIMILARITY MEASUREMENT
    
   
   
   https://www.jorgemar.com/papers/sim-symbolic-regression.pdf
   2 minutes ago by @jomargi
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   1HTTPS://WWW.JORGEMAR.COM/PAPERS/ADVANCING.PDF
    
   
   
   https://www.jorgemar.com/papers/Advancing.pdf
   2 minutes ago by @jomargi
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   1AUTOMATIC DESIGN OF SEMANTIC SIMILARITY CONTROLLERS BASED ON FUZZY LOGICS
    
   
   
   https://www.jorgemar.com/papers/similarity-controllers.pdf
   3 minutes ago by @jomargi
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   2CS 3710: ADVANCED TOPICS IN ARTIFICIAL INTELLIGENCE (ISSP 3565) -
   PROBABILISTIC GRAPHICAL MODELS
    
   
   
   https://people.cs.pitt.edu/~milos/courses/cs3710/
   26 days ago by @jomargi
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   1DELIVERABLE 3.2.1
    
   
   
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   26 days ago by @jomargi
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   2AN OPINIONATED GUIDE TO ML RESEARCH
    
   
   
   http://joschu.net/blog/opinionated-guide-ml-research.html
   3 months ago by @jomargi
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   3ANALYSES OF DEEP LEARNING (STATS 385)
    
   
   
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   2TEACHING
    
   
   
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   2BAYESIAN DEEP LEARNING WORKSHOP | NIPS 2016
    
   
   
   Bayesian Deep Learning Workshop | NIPS 2016
   8 months ago by @jomargi
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   1RESCOGNITO
    
   
   
   https://rescognito.com/0000-0002-5730-7965
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   1SEMANTIC SIMILARITY AGGREGATORS FOR VERY SHORT TEXTUAL EXPRESSIONS: A CASE
   STUDY ON LANDMARKS AND POINT OF INTEREST - KNOWLEDIA NEWS
    
   
   
   https://news.knowledia.com/US/en/topics/B8RGU
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   1UNCERTAINTY-ORIENTED TEXTUAL MARKER SELECTION FOR EXTRACTING RELEVANT TERMS
   FROM JOB OFFERS
    
   
   
   https://aircconline.com/csit/papers/vol12/csit121601.pdf
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   1KNOWLEDGE GRAPH: THE PERFECT COMPLEMENT TO MACHINE LEARNING
    
   
   
   Amount of information available today on the web is astounding and it is
   ever-expanding. For example, there are more than 1.94 billion websites that
   are linked with the World Wide Web and search…
   4 years ago by @jomargi
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   3EIGENVECTORS AND EIGENVALUES EXPLAINED VISUALLY
    
   
   
   http://setosa.io/ev/eigenvectors-and-eigenvalues/
   4 years ago by @jomargi
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   3API DESIGN GUIDANCE - BEST PRACTICES FOR CLOUD APPLICATIONS | MICROSOFT DOCS
    
   
   
   Guidance on how to create a well-designed web API.
   4 years ago by @jomargi
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   1MEASURE OF SEMANTIC SIMILARITY BETWEEN BUSINESS PROCESS ACTIVITIES IN A
   TELECOMMUNICATION COMPANY
    
   
   
   https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8901111
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   2MULTIMODAL DEEP LEARNING - TOWARDS DATA SCIENCE
    
   
   
   Being highly enthusiastic about research in deep learning I was always
   searching for unexplored areas in the field (Though it is tough to find one).
   I had previously worked on Maths word problem…
   4 years ago by @jomargi
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   3ESSENTIAL CHEAT SHEETS FOR MACHINE LEARNING AND DEEP LEARNING ENGINEERS
    
   
   
   Machine learning is complex. For newbies, starting to learn machine learning
   can be painful if they don’t have right resources to learn from. Most of the
   machine learning libraries are difficult to…
   4 years ago by @jomargi
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   2GITHUB - FCHOLLET/DEEP-LEARNING-WITH-PYTHON-NOTEBOOKS: JUPYTER NOTEBOOKS FOR
   THE CODE SAMPLES OF THE BOOK "DEEP LEARNING WITH PYTHON"
    
   
   
   Jupyter notebooks for the code samples of the book "Deep Learning with
   Python" - fchollet/deep-learning-with-python-notebooks
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   1SEMANTIC SEARCH EXPLOITING FORMAL CONCEPT ANALYSIS, ROUGH SETS, AND
   WIKIPEDIA | IGI GLOBAL
    
   
   
   https://www.igi-global.com/gateway/chapter/239998
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   1INFLUENCE FUNCTIONS FOR INTERPRETABLE LINK PREDICTION IN KNOWLEDGE GRAPHS
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   U. Zulaika, A. Almeida, and D. Lopez-de Ipina. 2022 7th International
   Conference on Smart and Sustainable Technologies (SpliTech), page 1-7. (July
   2022)
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   1SEMANTIC SEARCH EXPLOITING FORMAL CONCEPT ANALYSIS, ROUGH SETS, AND
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   Y. Jiang, and M. Yang. Natural Language Processing, IGI Global, (2020)
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   1ONTOLOGY CREATION
    
   
   
   A. Daisy. Advances in Computer and Electrical Engineering, IGI Global, (2020)
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   3UNE APPROCHE BASÉE SUR LES FLOTS POUR OPTIMISER LA SÉLECTION DE L'ALIGNEMENT
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   C. Touati, M. Benaissa, and Y. Lebbah. Revue d'Intelligence Artificielle, 30
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   3A NEW FUZZY UNIT SELECTION COST FUNCTION OPTIMIZED BY RELAXED GRADIENT
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   M. Rojc, and I. Mlakar. Expert Systems with Applications, (May 2020)
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   1INTERACTIVE TOPIC SEARCH SYSTEM BASED ON TOPIC CLUSTER TECHNOLOGY
    
   
   
   L. Chen. Information Systems Frontiers, (Jun 18, 2020)
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   8POBA-GA: PERTURBATION OPTIMIZED BLACK-BOX ADVERSARIAL ATTACKS VIA GENETIC
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   2CAREER RECOMMENDATIONS USING SUPERVISED LATENT DIRICHLET ALLOCATION
    
   
   
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   2SANOM-HOBBIT: SIMULATED ANNEALING-BASED ONTOLOGY MATCHING ON HOBBIT PLATFORM
    
   
   
   M. Mohammadi, W. Hofman, and Y. Tan. (2020)
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   2ONTOLOGY ALIGNMENT: SIMULATED ANNEALING-BASED SYSTEM, STATISTICAL
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   1ESTIMATING THE PROMINENCE OF AHP IN A SELECTED INTERNET SEARCH ENGINE
    
   
   
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   1SEMANTIC DATA MANAGEMENT FOR A VIRTUAL FACTORY COLLABORATIVE ENVIRONMENT
    
   
   
   A. Nazarenko, J. Sarraipa, L. Camarinha-Matos, O. Garcia, and R.
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   1NEW TRENDS IN DATABASES AND INFORMATION SYSTEMS
    
   
   
   T. Welzer, J. Eder, V. Podgorelec, R. Wrembel, M. Ivanović, J. Gamper, M.
   Morzy, T. Tzouramanis, J. Darmont, and A. Latifić. Springer International
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   2KNOWLEDGE GRAPHS - METHODOLOGY, TOOLS AND SELECTED USE CASES
    
   
   
   D. Fensel, U. Simsek, K. Angele, E. Huaman, K. Elias, O. Panasiuk, I. Toma,
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   1RELIABILITY ESTIMATION OF SEALIFT TRANSPORTATION BASED ON THE NEW SIMILARITY
   MEASURES
    
   
   
   J. Hu, Z. Yao, L. Wang, and Y. Yang. 2017 International Conference on
   Computer Technology, Electronics and Communication (ICCTEC), page 184-188.
   (December 2017)
   5 years ago by @jomargi
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   1MATCHING BIOMEDICAL ONTOLOGIES THROUGH COMPACT DIFFERENTIAL EVOLUTION
   ALGORITHM
    
   
   
   X. Xue, and J. Chen. Systems Science & Control Engineering, 7 (2): 85--89
   (July 2019)
   5 years ago by @jomargi
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   2CONSTRUCTION OF AN INDUSTRIAL KNOWLEDGE GRAPH FOR UNSTRUCTURED CHINESE TEXT
   LEARNING
    
   
   
   M. Zhao, H. Wang, J. Guo, D. Liu, C. Xie, Q. Liu, and Z. Cheng. Applied
   Sciences, 9 (13): 2720 (July 2019)
   5 years ago by @jomargi
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   3USING NSGA-III FOR OPTIMIZING BIOMEDICAL ONTOLOGY ALIGNMENT
    
   
   
   X. Xue, J. Lu, and J. Chen. CAAI Transactions on Intelligence Technology,
   (April 2019)
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   1INTERACTIVE BIOMEDICAL ONTOLOGY MATCHING
    
   
   
   X. Xue, Z. Hang, and Z. Tang. PLOS ONE, 14 (4): e0215147 (April 2019)
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   1DATA REDUCTION WORKFLOW PATTERNS MINING AND OPTIMIZATION BASED ON ONTOLOGY
    
   
   
   W. Hao, Z. Zhang, G. Chen, J. Chen, S. Zhang, and R. Kang. Proceedings of the
   2018 International Conference on Algorithms, Computing and Artificial
   Intelligence, page 19:1--19:8. New York, NY, USA, ACM, (2018)
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