{"id":437,"date":"2021-03-14T09:17:02","date_gmt":"2021-03-14T05:47:02","guid":{"rendered":"http:\/\/www.hsu.ac.ir\/newtech\/?page_id=437"},"modified":"2021-03-15T08:46:27","modified_gmt":"2021-03-15T05:16:27","slug":"%d9%be%d8%b1%d9%88%da%98%d9%87-%d9%87%d8%a7-%d9%88-%d8%af%d8%b3%d8%aa%d8%a7%d9%88%d8%b1%d8%af%d9%87%d8%a7%db%8c-%da%af%d8%b1%d9%88%d9%87-%d8%a8%db%8c%d9%86%d8%a7%db%8c%db%8c-%da%a9%d8%a7%d9%85%d9%be","status":"publish","type":"page","link":"https:\/\/www.hsu.ac.ir\/newtech\/%da%af%d8%b1%d9%88%d9%87-%d9%81%d9%86%d8%a7%d9%88%d8%b1-%d8%a8%db%8c%d9%86%d8%a7%db%8c%db%8c-%da%a9%d8%a7%d9%85%d9%be%db%8c%d9%88%d8%aa%d8%b1\/%d9%be%d8%b1%d9%88%da%98%d9%87-%d9%87%d8%a7-%d9%88-%d8%af%d8%b3%d8%aa%d8%a7%d9%88%d8%b1%d8%af%d9%87%d8%a7%db%8c-%da%af%d8%b1%d9%88%d9%87-%d8%a8%db%8c%d9%86%d8%a7%db%8c%db%8c-%da%a9%d8%a7%d9%85%d9%be\/","title":{"rendered":"\u067e\u0631\u0648\u0698\u0647 \u0647\u0627 \u0648 \u062f\u0633\u062a\u0627\u0648\u0631\u062f\u0647\u0627\u06cc \u06af\u0631\u0648\u0647 \u0628\u06cc\u0646\u0627\u06cc\u06cc \u06a9\u0627\u0645\u067e\u06cc\u0648\u062a\u0631"},"content":{"rendered":"<p>\u06a9\u0627\u0631\u0647\u0627\u06cc \u067e\u0698\u0648\u0647\u0634\u06cc<\/p>\n<table dir=\"rtl\" style=\"height: 1732px\" border=\"1\" width=\"671\" cellspacing=\"0\" cellpadding=\"0\" align=\"center\">\n<tbody>\n<tr>\n<td colspan=\"2\" width=\"38\">\n<p dir=\"RTL\" style=\"text-align: center\" align=\"center\"><strong>\u0645\u0642\u0627\u0644\u0627\u062a \u0698\u0648\u0631\u0646\u0627\u0644<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"38\">\n<p dir=\"RTL\" style=\"text-align: center\" align=\"center\">\u0631\u062f\u06cc\u0641<\/p>\n<\/td>\n<td width=\"365\">\n<p dir=\"RTL\" align=\"center\">\u0639\u0646\u0648\u0627\u0646 \u0645\u0642\u0627\u0644\u0647<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"38\">\n<p dir=\"RTL\" style=\"text-align: center\">1<\/p>\n<\/td>\n<td valign=\"top\" width=\"365\">\n<p dir=\"RTL\" style=\"text-align: left\">Davood Zabihzadeh, Reza Monsefi*, Hadi Sadoghi Yazdi, Sparse Bayesian similarity learning based on posterior distribution of data, Engineering Applications of Artificial Intelligence, Volume 67, January 2018, Pages 173-186, ISSN 0952-1976 (ISI Journal Q1 IF:3.526)<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"38\">\n<p dir=\"RTL\" style=\"text-align: center\">2<\/p>\n<\/td>\n<td valign=\"top\" width=\"365\">\n<p dir=\"RTL\" style=\"text-align: left\">Zabihzadeh, D., Monsefi, R. and Yazdi, H.S., 2019. Sparse Bayesian approach for metric learning in latent space.\u00a0<em>Knowledge-Based Systems<\/em>,\u00a0<em>178<\/em>, pp.11-24 (ISI Journal Q1 IF: 5.101)<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"38\">\n<p dir=\"RTL\" style=\"text-align: center\">3<\/p>\n<\/td>\n<td valign=\"top\" width=\"365\">\n<p dir=\"RTL\" style=\"text-align: left\">\u00a0Hajiabadi, H., Babaiyan, V., Zabihzadeh, D. and Hajiabadi, M., 2020. Combination of loss functions for robust breast cancer prediction.\u00a0<em>Computers &amp; Electrical Engineering<\/em>,\u00a0<em>84<\/em>, p.106624.<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"38\">\n<p dir=\"RTL\" style=\"text-align: center\">4<\/p>\n<\/td>\n<td valign=\"top\" width=\"365\">\n<p dir=\"RTL\" style=\"text-align: left\">Ali Salim Rasheed, Davood Zabihzadeh*, Sumia Al-Obaidi, Large-Scale Multi-modal Distance Metric Learning with Application to Content-Based Information Retrieval and Image Classification, International Journal of Pattern Recognition and Artificial Intelligence (ISI Journal Q3 IF: 1.11)<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"38\">\n<p dir=\"RTL\" style=\"text-align: center\">5<\/p>\n<\/td>\n<td valign=\"top\" width=\"365\">\n<p dir=\"RTL\" style=\"text-align: left\">Sumia Al-Obaidi, Davood Zabihzadeh*, H Hajiabadi, Robust Metric Learning based on the Rescaled Hinge Loss, International Journal of Machine Learning and Cybernetics, (ISI Journal Q1 IF: 3.844)<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"38\">\n<p dir=\"RTL\" style=\"text-align: center\">6<\/p>\n<\/td>\n<td valign=\"top\" width=\"365\">\n<p dir=\"RTL\" style=\"text-align: left\" align=\"right\">Davood Zabihzadeh,\u00a0 Mohammad H. Moattar ,Manifold learning based speaker dependent dimension reduction for robust text independent speaker verification, Int J Speech Technology ,DOI 10.1007\/s10772-014-9228-6, 6 February 2014,Springer (SNIP:1.08)<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"38\">\n<p dir=\"RTL\" style=\"text-align: center\">7<\/p>\n<\/td>\n<td valign=\"top\" width=\"365\">\n<p dir=\"RTL\" style=\"text-align: left\" align=\"right\">\u00a0Davoud Zabihzadeh, Sattar Hashemi, Ying Yang, and Mohammadreza Kangavari2, \u201cDetecting intrusion transactions in databases using data item dependencies and anomaly analysis, Expert Systems, November 2008, Vol. 25, No. 5 (ISI Journal Q2, IF: 1.505)<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"38\">\n<p dir=\"RTL\" style=\"text-align: center\">8<\/p>\n<\/td>\n<td valign=\"top\" width=\"365\">\n<p dir=\"RTL\" style=\"text-align: left\" align=\"right\">H Hajiabadi, V Babaiyan, D Zabihzadeh, M Hajiabadi, Combination of Loss Functions for Robust Breast Cancer Prediction, Computers &amp; Electrical Engineering, January 2020 (ISI Journal Q2, IF: 2.189)<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"38\">\n<p dir=\"RTL\" style=\"text-align: center\">9<\/p>\n<\/td>\n<td valign=\"top\" width=\"365\">\n<p dir=\"RTL\" style=\"text-align: left\" align=\"right\">Baida Hamdan, Davood Zabihzadeh*, Reza Monsefi, Large Scale Local Online Similarity\/Distance Learning Framework based on Passive\/Aggressive, International Journal of Machine Learning and Cybernetics, Status:\u00a0Revise(ISI Journal Q1 IF: 3.844)<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"38\">\n<p dir=\"RTL\" style=\"text-align: center\">10<\/p>\n<p dir=\"RTL\">\n<\/td>\n<td valign=\"top\" width=\"365\">\n<p dir=\"RTL\" align=\"right\">\u062f\u0627\u0648\u062f \u0630\u0628\u06cc\u062d \u0632\u0627\u062f\u0647\u060c \u0633\u0639\u06cc\u062f \u0632\u0627\u0647\u062f\u06cc\u060c \u0631\u0636\u0627 \u0645\u0646\u0635\u0641\u06cc\u060c &#8220;\u0627\u0631\u0627\u0626\u0647 \u06cc\u06a9 \u0631\u0648\u0634 \u0645\u0648\u062b\u0631 \u0628\u0631\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0642\u0627\u0648\u0645 \u0645\u062a\u0631\u06cc\u06a9 \u062f\u0631 \u0628\u0631\u0627\u0628\u0631 \u0646\u0648\u06cc\u0632 \u0628\u0631\u0686\u0633\u0628&#8221;\u060c \u0645\u062c\u0644\u0647 \u0639\u0644\u0645\u06cc \u067e\u0698\u0648\u0647\u0634\u06cc \u067e\u0631\u062f\u0627\u0632\u0634 \u0639\u0644\u0627\u0626\u0645 \u0648 \u062f\u0627\u062f\u0647 \u0647\u0627\u060c 1399<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" valign=\"top\" width=\"38\">\n<p dir=\"RTL\" style=\"text-align: center\"><strong>\u0645\u0642\u0627\u0644\u0627\u062a \u06a9\u0646\u0641\u0631\u0627\u0646\u0633<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center\" valign=\"top\" width=\"38\">\u00a01<\/td>\n<td style=\"text-align: left\" valign=\"top\" width=\"365\">\u00a0A. Abedi, R. Monsefi and D. Zabihzadeh, &#8220;Weighted semi-supervised manifold clustering via sparse representation,&#8221; 2016 6th International Conference on Computer and Knowledge Engineering (ICCKE), Mashhad, 2016, pp. 235-242. doi: 10.1109\/ICCKE.2016.7802146\u00a0(Selected as Best Conference Paper)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center\" valign=\"top\" width=\"38\">2<\/td>\n<td style=\"text-align: left\" valign=\"top\" width=\"365\">Baida Hamdan, Davood Zabihzadeh and Reza Monsefi(2018). Online Local Metric Learning based on Passive\/Aggressive. &#8220;4\u2019th International Conference on Computer Science Information Technology&#8221; by Sajad University of Technology, Khorasan Razavi, dated 24\/02\/2018 in Mashhad(Selected as Best Conference Paper)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center\" valign=\"top\" width=\"38\">3<\/td>\n<td style=\"text-align: left\" valign=\"top\" width=\"365\">Moattar, M. H., et al. (2006). Persian Text Normalization using Classification Tree and Support Vector Machine. Information and Communication Technologies, 2006. ICTTA &#8217;06. 2nd.<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center\" valign=\"top\" width=\"38\">\u00a04<\/td>\n<td valign=\"top\" width=\"365\">\n<p dir=\"RTL\" style=\"text-align: right\">\u062f\u0627\u0648\u062f \u0630\u0628\u06cc\u062d \u0632\u0627\u062f\u0647\u060c \u0631\u0636\u0627 \u0645\u0646\u0635\u0641\u06cc\u060c &#8220;\u0645\u0642\u0627\u0648\u0645 \u0633\u0627\u0632\u06cc \u0631\u0648\u0634 \u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u062a\u0631\u06cc\u06a9 \u062f\u0631 \u0628\u0631\u0627\u0628\u0631 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u067e\u0631\u062a&#8221;\u060c 1399\u060c \u0647\u0641\u062f\u0645\u06cc\u0646 \u06a9\u0646\u0641\u0631\u0627\u0646\u0633 \u0633\u06cc\u0633\u062a\u0645 \u0647\u0627\u06cc \u0647\u0648\u0634\u0645\u0646\u062f\u060c \u0627\u0648\u0644\u06cc\u0646 \u06a9\u0646\u06af\u0631\u0647 \u0645\u062d\u0627\u0633\u0628\u0627\u062a\u06cc \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc 2020.<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center\" valign=\"top\" width=\"38\">5<\/td>\n<td valign=\"top\" width=\"365\">\n<p dir=\"RTL\">\u0630\u0628\u06cc\u062d \u0632\u0627\u062f\u0647 \u062e\u0648\u0627\u062c\u0648\u06cc, \u062f\u0627\u0648\u062f \u0648 \u0645\u062d\u0645\u062f\u0631\u0636\u0627 \u06a9\u0646\u06af\u0627\u0648\u0631\u06cc\u060c \u06f1\u06f3\u06f8\u06f4\u060c \u062a\u0634\u062e\u06cc\u0635 \u0646\u0641\u0648\u0630 \u062f\u0631 \u067e\u0627\u06cc\u06af\u0627\u0647 \u062f\u0627\u062f\u0647 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u062a\u062d\u0644\u06cc\u0644 \u0648\u0627\u0628\u0633\u062a\u06af\u06cc \u0628\u06cc\u0646 \u062f\u0627\u062f\u0647 \u0647\u0627\u060c \u06cc\u0627\u0632\u062f\u0647\u0645\u06cc\u0646 \u06a9\u0646\u0641\u0631\u0627\u0646\u0633 \u0633\u0627\u0644\u0627\u0646\u0647 \u0627\u0646\u062c\u0645\u0646 \u06a9\u0627\u0645\u067e\u06cc\u0648\u062a\u0631 \u0627\u06cc\u0631\u0627\u0646\u060c \u062a\u0647\u0631\u0627\u0646\u060c \u0627\u0646\u062c\u0645\u0646 \u06a9\u0627\u0645\u067e\u06cc\u0648\u062a\u0631 \u0627\u06cc\u0631\u0627\u0646\u060c \u0645\u0631\u06a9\u0632 \u062a\u062d\u0642\u06cc\u0642\u0627\u062a \u0641\u06cc\u0632\u06cc\u06a9 \u0646\u0638\u0631\u06cc \u0648 \u0645\u062e\u0627\u0628\u0631\u0627\u062a\u060c<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center\" valign=\"top\" width=\"38\">6<\/td>\n<td valign=\"top\" width=\"365\">\n<p dir=\"RTL\">\u0635\u062f\u06cc\u0642\u0647 \u062e\u0648\u0627\u062c\u0648\u06cc\u06cc \u0646\u0698\u0627\u062f<sup>\u00a01<\/sup>\u060c\u00a0\u062f\u0627\u0648\u062f \u0630\u0628\u06cc\u062d \u0632\u0627\u062f\u0647 \u062e\u0648\u0627\u062c\u0648\u06cc<sup>*\u00a0<\/sup>\u060c \u0627\u0631\u0627\u06cc\u0647 \u06cc\u06a9 \u0631\u0648\u0634 \u062c\u062f\u06cc\u062f \u0628\u0631\u0627\u06cc \u0633\u06cc\u0633\u062a\u0645 \u0647\u0648\u0634\u0645\u0646\u062f \u0631\u0627\u0647\u0646\u0645\u0627\u06cc \u0627\u0646\u062a\u062e\u0627\u0628 \u0648\u0627\u062d\u062f \u062f\u0627\u0646\u0634\u062c\u0648\u06cc\u0627\u0646 \u0628\u0627\u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632\u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0698\u0646\u062a\u06cc\u06a9\u060c<sup>\u00a0\u060c\u00a0<\/sup>\u0627\u0648\u0644\u06cc\u0646 \u0647\u0645\u0627\u06cc\u0634 \u0645\u0644\u06cc \u0645\u0647\u0646\u062f\u0633\u06cc \u0628\u0631\u0642 \u0648 \u06a9\u0627\u0645\u067e\u06cc\u0648\u062a\u0631 \u062f\u0631 \u0634\u0645\u0627\u0644 \u06a9\u0634\u0648\u0631 \u062e\u0631\u062f\u0627\u062f 1393<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u06a9\u0627\u0631\u0647\u0627\u06cc \u067e\u0698\u0648\u0647\u0634\u06cc \u0645\u0642\u0627\u0644\u0627\u062a \u0698\u0648\u0631\u0646\u0627\u0644 \u0631\u062f\u06cc\u0641 \u0639\u0646\u0648\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 1 Davood Zabihzadeh, Reza Monsefi*, Hadi Sadoghi Yazdi, Sparse Bayesian similarity learning based on posterior distribution of data, Engineering Applications of Artificial Intelligence, Volume 67, January 2018, Pages 173-186, ISSN 0952-1976 (ISI Journal Q1 IF:3.526) 2 Zabihzadeh, D., Monsefi, R. and Yazdi, H.S., 2019. Sparse Bayesian approach for [&hellip;]<\/p>\n","protected":false},"author":152,"featured_media":0,"parent":316,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[],"tags":[],"class_list":["post-437","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.hsu.ac.ir\/newtech\/wp-json\/wp\/v2\/pages\/437","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.hsu.ac.ir\/newtech\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.hsu.ac.ir\/newtech\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.hsu.ac.ir\/newtech\/wp-json\/wp\/v2\/users\/152"}],"replies":[{"embeddable":true,"href":"https:\/\/www.hsu.ac.ir\/newtech\/wp-json\/wp\/v2\/comments?post=437"}],"version-history":[{"count":5,"href":"https:\/\/www.hsu.ac.ir\/newtech\/wp-json\/wp\/v2\/pages\/437\/revisions"}],"predecessor-version":[{"id":542,"href":"https:\/\/www.hsu.ac.ir\/newtech\/wp-json\/wp\/v2\/pages\/437\/revisions\/542"}],"up":[{"embeddable":true,"href":"https:\/\/www.hsu.ac.ir\/newtech\/wp-json\/wp\/v2\/pages\/316"}],"wp:attachment":[{"href":"https:\/\/www.hsu.ac.ir\/newtech\/wp-json\/wp\/v2\/media?parent=437"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.hsu.ac.ir\/newtech\/wp-json\/wp\/v2\/categories?post=437"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.hsu.ac.ir\/newtech\/wp-json\/wp\/v2\/tags?post=437"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}