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Learning and Searching Pseudo-Boolean Surrogate Functions from Small Samples
Swingler K (2020) Learning and Searching Pseudo-Boolean Surrogate Functions from Small Samples. Evolutionary Computation, 28 (2), pp. 317-338. https://doi.org/10.1162/evco_a_00257
Conference Proceeding
Comparison between Maximal Independent Sets and Maximal Cliques Models to Calculate the Capacity of Multihop Wireless Networks
Heal M & Li J (2020) Comparison between Maximal Independent Sets and Maximal Cliques Models to Calculate the Capacity of Multihop Wireless Networks. In: Arai K & Bhatia R (eds.) Advances in Information and Communication. FICC 2019. Lecture Notes in Networks and Systems, 70. FICC 2019: Future of Information and Communication Conference, San Francisco, CA, USA, 14.03.2019-15.03.2019. Cham, Switzerland: Springer International Publishing Company, pp. 603-615. https://doi.org/10.1007/978-3-030-12385-7_44
Conference Proceeding
On Refining Design Patterns for Smart Contracts: A use case on water management
Zecchini M, Bracciali A, Chatzigiannakis I & Vitaletti A (2020) On Refining Design Patterns for Smart Contracts: A use case on water management. In: Schwardmann U, Boehme C, Heras DB, Cardellini V, Jeannot E, Salis A, Schifanella C, Reddy Manumachu R, Schwamborn D, Ricci L, Sangyoon O, Gruber T, Antonelli L & Scott SL (eds.) Euro-Par 2019: Parallel Processing Workshops. Lecture Notes in Computer Science, 11997. 2nd International Workshop on Future Perspective of Decentralized APPlications, Gottingen, Germany, 26.08.2019-29.08.2019. Cham, Switzerland: Springer, pp. 228-239. https://doi.org/10.1007/978-3-030-48340-1_18
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On trees as star complements in regular graphs
Rowlinson P (2020) On trees as star complements in regular graphs. Discussions Mathematicae Graph Theory, 40 (2), pp. 621-636. https://doi.org/10.7151/dmgt.2272
Article
Slobodan Simić: an appreciation
Cvetkovic D & Rowlinson P (2020) Slobodan Simić: an appreciation. Discussiones Mathematicae Graph Theory, 40 (2), pp. 367-378. https://doi.org/10.7151/dmgt.2266
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A Methodology for Classifying Search Operators as Intensification or Diversification Heuristics
Soria-Alcaraz JA, Ochoa G, Espinal A, Sotelo-Figueroa MA, Ornelas-Rodriguez M & Rostro-Gonzalez H (2020) A Methodology for Classifying Search Operators as Intensification or Diversification Heuristics. Complexity, 2020 p. 10, Art. No.: 2871835. https://doi.org/10.1155/2020/2871835
Conference Proceeding
The Local Optima Level in Chemotherapy Schedule Optimisation
Thomson SL & Ochoa G (2020) The Local Optima Level in Chemotherapy Schedule Optimisation. In: Zarges C & Paquete L (eds.) Evolutionary Computation in Combinatorial Optimization. EvoCOP 2020. Lecture Notes in Computer Science, 12102. EvoCOP 2020: European Conference on Evolutionary Computation in Combinatorial Optimization, Seville, Spain, 15.04.2020-17.04.2020. Cham, Switzerland: Springer, pp. 197-213. https://doi.org/10.1007/978-3-030-43680-3_13
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Sparse multidimensional exponential analysis with an application to radar imaging
Cuyt A, Hou Y, Knaepkens F & Lee W (2020) Sparse multidimensional exponential analysis with an application to radar imaging. SIAM Journal on Scientific Computing, 42 (3), p. B675–B695. https://doi.org/10.1137/19M1278004
Conference Proceeding
Search Trajectory Networks of Population-based Algorithms in Continuous Spaces
Ochoa G, Malan KM & Blum C (2020) Search Trajectory Networks of Population-based Algorithms in Continuous Spaces. In: Jiménez Laredo JL, Fernández de Vega F & Castillo PA (eds.) Applications of Evolutionary Computation. EvoApplications 2020. Lecture Notes in Computer Science, 12104. Applications of Evolutionary Computation – 23rd International Conference, EvoApplications 2020, Seville, Spain, 15.04.2020-17.04.2020. Cham, Switzerland: Springer, pp. 70-85. https://doi.org/10.1007/978-3-030-43722-0_5
Conference Proceeding
Offline arabic handwriting recognition using deep machine learning: A review of recent advances
Ahmed R, Dashtipour K, Gogate M, Raza A, Zhang R, Huang K, Hawalah A, Adeel A & Hussain A (2020) Offline arabic handwriting recognition using deep machine learning: A review of recent advances. In: Xiao Y, Huang K, Zheng J, Zhao H, Cai J, Chen R, Ren J & Hussain A (eds.) Advances in Brain Inspired Cognitive Systems. BICS 2019. Lecture Notes in Computer Science, 11691. BICS 2019: 10th International Conference on Brain Inspired Cognitive Systems, Guangzhou, China, 13.07.2019-14.07.2019. Cham, Switzerland: Springer, pp. 457-468. https://doi.org/10.1007/978-3-030-39431-8_44
Conference Proceeding
PerSent 2.0: Persian sentiment lexicon enriched with domain-specific words
Dashtipour K, Raza A, Gelbukh A, Zhang R, Cambria E & Hussain A (2020) PerSent 2.0: Persian sentiment lexicon enriched with domain-specific words. In: Huang K, Zheng J, Cai J, Chen R, Xiao Y, Ren J, Hussain A & Zhao H (eds.) Advances in Brain Inspired Cognitive Systems. BICS 2019. Lecture Notes in Computer Science, 11691. BICS 2019: 10th International Conference on Brain Inspired Cognitive Systems, Guangzhou, China, 13.07.2019-14.07.2019. Cham, Switzerland: Springer, pp. 497-509. https://doi.org/10.1007/978-3-030-39431-8_48
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Predicting book sales trend using deep learning framework
Feng TQ, Choy M & Laik MN (2020) Predicting book sales trend using deep learning framework. International Journal of Advanced Computer Science and Applications, 11 (2), pp. 28-39. https://doi.org/10.14569/IJACSA.2020.0110205
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Automating the ABCD Rule for Melanoma Detection: A Survey
Ali A, Li J & Yang G (2020) Automating the ABCD Rule for Melanoma Detection: A Survey. IEEE Access, 8, pp. 83333-83346. https://doi.org/10.1109/access.2020.2991034
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Fitness Landscape Analysis of Automated Machine Learning Search Spaces
Pimenta CG, de Sá AGC, Ochoa G & Pappa GL (2020) Fitness Landscape Analysis of Automated Machine Learning Search Spaces. In: Paquete L & Zarges C (eds.) Evolutionary Computation in Combinatorial Optimization. EvoCOP 2020. Lecture Notes in Computer Science, 12102. EvoCOP 2020: Evolutionary Computation in Combinatorial Optimization, Seville, Spain, 15.04.2020-17.04.2020. Cham, Switzerland: Springer International Publishing, pp. 114-130. https://doi.org/10.1007/978-3-030-43680-3_8
Book Chapter
Finding the Maximal Independent Sets of a Graph Including the Maximum Using a Multivariable Continuous Polynomial Objective Optimization Formulation
Heal M & Li J (2020) Finding the Maximal Independent Sets of a Graph Including the Maximum Using a Multivariable Continuous Polynomial Objective Optimization Formulation. In: Arai K, Kapoor S & Bhatia R (eds.) Intelligent Computing. SAI 2020. Advances in Intelligent Systems and Computing, 1228. Cham, Switzerland: Springer International Publishing, pp. 122-136. https://doi.org/10.1007/978-3-030-52249-0_9
Article
A Novel Fuzzy Multilayer Perceptron (F-MLP) for the Detection of Irregularity in Skin Lesion Border Using Dermoscopic Images
Ali A, Li J, Kanwal S, Yang G, Hussain A & O'Shea SJ (2020) A Novel Fuzzy Multilayer Perceptron (F-MLP) for the Detection of Irregularity in Skin Lesion Border Using Dermoscopic Images. Frontiers in Medicine, 7, Art. No.: 297. https://doi.org/10.3389/fmed.2020.00297
Article
A machine learning approach to automatic detection of irregularity in skin lesion border using dermoscopic images
Ali A, Li J, Yang G & Jane O’Shea S (2020) A machine learning approach to automatic detection of irregularity in skin lesion border using dermoscopic images. PeerJ Computer Science, 6, Art. No.: e268. https://doi.org/10.7717/peerj-cs.268
