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Mohammadreza Kangavari
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- affiliation: Iran University of Science and Technology, Tehran, Iran
Other persons with the same name
- Mohammad Reza Kangavari — disambiguation page
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2020 – today
- 2024
- [j29]Elnaz Zafarani-Moattar, Mohammad Reza Kangavari, Amir Masoud Rahmani:
Neural Network Meaningful Learning Theory and its Application for Deep Text Clustering. IEEE Access 12: 42411-42422 (2024) - [j28]Raziyeh Zall, Mohammadreza Kangavari:
Towards emotion-aware intelligent agents by utilizing knowledge graphs of experiences. Cogn. Syst. Res. 88: 101285 (2024) - [j27]Sara Kamran, Saeid Hosseini, Sayna Esmailzadeh, Mohammad Reza Kangavari, Wen Hua:
Cognition2Vocation: meta-learning via ConvNets and continuous transformers. Neural Comput. Appl. 36(21): 12935-12950 (2024) - [c17]Saeed Najafipour Najafipour, Saeid Hosseini, Wen Hua, Mohammad Reza Kangavari, Xiaofang Zhou:
Short-Text Author Linking Through Multi-Facet Temporal-Textual Embedding (Extended Abstract). ICDE 2024: 5687-5688 - [c16]Mohsen Saaki, Saeid Hosseini, Sana Rahmani, Mohammad Reza Kangavari, Wen Hua, Xiaofang Zhou:
Value-Wise ConvNet for Transformer Models: An Infinite Time-Aware Recommender System (Extended Abstract). ICDE 2024: 5715-5716 - [c15]Saeed Najafi Pour, Saeid Hosseini, Wen Hua, Mohammad Reza Kangavari, Xiaofang Zhou:
SoulMate: Short-Text Author Linking Through Multi-Aspect Temporal-Textual Embedding (Extended Abstract). ICDE 2024: 5751-5752 - [i10]Elnaz Zafarani-Moattar, Mohammad Reza Kangavari, Amir Masoud Rahmani:
A comprehensive study on Frequent Pattern Mining and Clustering categories for topic detection in Persian text stream. CoRR abs/2403.10237 (2024) - 2023
- [j26]Sana Rahmani, Saeid Hosseini, Raziyeh Zall, Mohammad Reza Kangavari, Sara Kamran, Wen Hua:
Transfer-based adaptive tree for multimodal sentiment analysis based on user latent aspects. Knowl. Based Syst. 261: 110219 (2023) - [j25]Sara Kamran, Raziyeh Zall, Saeid Hosseini, Mohammadreza Kangavari, Sana Rahmani, Wen Hua:
EmoDNN: understanding emotions from short texts through a deep neural network ensemble. Neural Comput. Appl. 35(18): 13565-13582 (2023) - [j24]Mohsen Saaki, Saeid Hosseini, Sana Rahmani, Mohammad Reza Kangavari, Wen Hua, Xiaofang Zhou:
Value-Wise ConvNet for Transformer Models: An Infinite Time-Aware Recommender System. IEEE Trans. Knowl. Data Eng. 35(10): 9932-9945 (2023) - 2022
- [j23]Raziyeh Zall, Mohammad Reza Kangavari:
Comparative Analytical Survey on Cognitive Agents with Emotional Intelligence. Cogn. Comput. 14(4): 1223-1246 (2022) - [j22]Behrouz Samieiyan, Poorya MohammadiNasab, Mostafa Abbas Mollaei, Fahimeh Hajizadeh, Mohammadreza Kangavari:
Solving dimension reduction problems for classification using Promoted Crow Search Algorithm (PCSA). Computing 104(6): 1255-1284 (2022) - [j21]Behrouz Samieiyan, Poorya MohammadiNasab, Mostafa Abbas Mollaei, Fahimeh Hajizadeh, Mohammadreza Kangavari:
Novel optimized crow search algorithm for feature selection. Expert Syst. Appl. 204: 117486 (2022) - [j20]Saeed Najafi Pour, Saeid Hosseini, Wen Hua, Mohammad Reza Kangavari, Xiaofang Zhou:
SoulMate: Short-Text Author Linking Through Multi-Aspect Temporal-Textual Embedding. IEEE Trans. Knowl. Data Eng. 34(1): 448-461 (2022) - 2021
- [j19]Nosratali Ashrafi-Payaman, Mohammadreza Kangavari, Saeid Hosseini, Amir Mohammad Fander:
GS4: Graph stream summarization based on both the structure and semantics. J. Supercomput. 77(3): 2713-2733 (2021) - [i9]Sara Kamran, Raziyeh Zall, Mohammad Reza Kangavari, Saeid Hosseini, Sana Rahmani, Wen Hua:
EmoDNN: Understanding emotions from short texts through a deep neural network ensemble. CoRR abs/2106.01706 (2021) - [i8]Sayna Esmailzadeh, Saeid Hosseini, Mohammad Reza Kangavari, Wen Hua:
Cognitive-aware Short-text Understanding for Inferring Professions. CoRR abs/2106.07363 (2021) - [i7]Sana Rahmani, Saeid Hosseini, Raziyeh Zall, Mohammad Reza Kangavari, Sara Kamran, Wen Hua:
Transfer-based adaptive tree for multimodal sentiment analysis based on user latent aspects. CoRR abs/2106.14174 (2021) - [i6]Elnaz Zafarani-Moattar, Mohammad Reza Kangavari, Amir Masoud Rahmani:
A Comparative Study on Transfer Learning and Distance Metrics in Semantic Clustering over the COVID-19 Tweets. CoRR abs/2111.08658 (2021) - 2020
- [j18]Saeid Hosseini, Saeed Najafi Pour, Ngai-Man Cheung, Hongzhi Yin, Mohammad Reza Kangavari, Xiaofang Zhou:
TEAGS: time-aware text embedding approach to generate subgraphs. Data Min. Knowl. Discov. 34(4): 1136-1174 (2020)
2010 – 2019
- 2019
- [j17]Leila Khalatbari, Mohammadreza Kangavari, Saeid Hosseini, Hongzhi Yin, Ngai-Man Cheung:
MCP: A multi-component learning machine to predict protein secondary structure. Comput. Biol. Medicine 110: 144-155 (2019) - [j16]Morteza Okhovvat, Mohammad Reza Kangavari:
A mathematical task dispatching model in wireless sensor actor networks. Comput. Syst. Sci. Eng. 34(1) (2019) - [j15]Morteza Okhovvat, Mohammad Reza Kangavari:
TSLBS: ?A time-sensitive and load balanced scheduling approach to wireless sensor actor networks. Comput. Syst. Sci. Eng. 34(1) (2019) - [j14]Mahdi Ilbeygi, Mohammad Reza Kangavari, S. Alireza Golmohammadi:
Equipping the ACT-R cognitive architecture with a temporal ratio model of memory and using it in a new intelligent adaptive interface. User Model. User Adapt. Interact. 29(5): 943-976 (2019) - [j13]Saeid Hosseini, Hongzhi Yin, Xiaofang Zhou, Shazia W. Sadiq, Mohammad Reza Kangavari, Ngai-Man Cheung:
Leveraging multi-aspect time-related influence in location recommendation. World Wide Web 22(3): 1001-1028 (2019) - [i5]Saeid Hosseini, Saeed Najafi Pour, Ngai-Man Cheung, Mohammad Reza Kangavari, Xiaofang Zhou, Yuval Elovici:
TEALS: Time-aware Text Embedding Approach to Leverage Subgraphs. CoRR abs/1907.03191 (2019) - [i4]Saeed Najafi Pour, Saeid Hosseini, Wen Hua, Mohammad Reza Kangavari, Xiaofang Zhou:
SoulMate: Short-text author linking through Multi-aspect temporal-textual embedding. CoRR abs/1910.12180 (2019) - 2018
- [c14]Mojtaba Amiri Maskouni, Saeid Hosseini, Hadi Mohammadzadeh Abachi, Mohammadreza Kangavari, Xiaofang Zhou:
Auto-CES: An Automatic Pruning Method Through Clustering Ensemble Selection. ADC 2018: 275-287 - [c13]Hadi Mohammadzadeh Abachi, Saeid Hosseini, Mojtaba Amiri Maskouni, Mohammadreza Kangavari, Ngai-Man Cheung:
Statistical Discretization of Continuous Attributes Using Kolmogorov-Smirnov Test. ADC 2018: 309-315 - [i3]Leila Khalatbari, Mohammadreza Kangavari, Saeid Hosseini, Hongzhi Yin, Ngai-Man Cheung:
MCP: a multi-component learning machine for prediction of protein secondary structure. CoRR abs/1806.06394 (2018) - 2017
- [j12]Zahra Mirzamomen, Mohammad Reza Kangavari:
Evolving Fuzzy Min-Max Neural Network Based Decision Trees for Data Stream Classification. Neural Process. Lett. 45(1): 341-363 (2017) - [j11]Zahra Mirzamomen, Mohammad Reza Kangavari:
A framework to induce more stable decision trees for pattern classification. Pattern Anal. Appl. 20(4): 991-1004 (2017) - [j10]Mahnaz Koupaee, Mohammad Reza Kangavari, Mohammad Javad Amiri:
Scalable structure-free data fusion on wireless sensor networks. J. Supercomput. 73(12): 5105-5124 (2017) - [c12]Morteza Okhovvat, Mohammad Reza Kangavari, Houman Zarrabi:
An Analytical Task Assignment Model in Wireless Sensor Actor Networks. ICCE-Berlin 2017: 195-199 - 2016
- [j9]Zahra Mirzamomen, Mohammad Reza Kangavari:
Fuzzy min-max neural network based decision trees. Intell. Data Anal. 20(4): 767-782 (2016) - 2015
- [j8]Zahra Farzanyar, Mohammad Reza Kangavari:
Distributed Frequent Item Sets Mining over P2P Networks. Comput. Informatics 34(2): 458-472 (2015) - [j7]Hassan Naderi, Mohammad Reza Kangavari, Morteza Okhovvat:
ScEP: A Scalable and Energy Aware Protocol to Increase Network Lifetime in Wireless Sensor Networks. Wirel. Pers. Commun. 82(1): 611-623 (2015) - 2014
- [i2]Hadi Restgou Haghi, Mohammad Reza Kangavari, Behrang QasemiZadeh:
A Novel Approach for Video Temporal Annotation. CoRR abs/1404.4543 (2014) - 2013
- [j6]Zahra Farzanyar, Mohammad Reza Kangavari, Nick Cercone:
P2P-FISM: Mining (recently) frequent item sets from distributed data streams over P2P network. Inf. Process. Lett. 113(19-21): 793-798 (2013) - 2012
- [j5]Zahra Farzanyar, Mohammad Reza Kangavari:
Efficient mining of Fuzzy Association Rules from the Pre-Processed Dataset. Comput. Informatics 31(2): 331-347 (2012) - [j4]Zahra Farzanyar, Mohammad Reza Kangavari, Nick Cercone:
Max-FISM: Mining (recently) maximal frequent itemsets over data streams using the sliding window model. Comput. Math. Appl. 64(6): 1706-1718 (2012) - [i1]Ali Jarrahi, Mohammad Reza Kangavari:
An Architecture for Context-Aware Knowledge Flow Management Systems. CoRR abs/1206.0184 (2012)
2000 – 2009
- 2009
- [j3]Sattar Hashemi, Ying Yang, Zahra Mirzamomen, Mohammad Reza Kangavari:
Adapted One-versus-All Decision Trees for Data Stream Classification. IEEE Trans. Knowl. Data Eng. 21(5): 624-637 (2009) - 2008
- [j2]Sattar Hashemi, Ying Yang, Davoud Zabihzadeh, Mohammad Reza Kangavari:
Detecting intrusion transactions in databases using data item dependencies and anomaly analysis. Expert Syst. J. Knowl. Eng. 25(5): 460-473 (2008) - [j1]Sattar Hashemi, Mohammad Reza Kangavari, Ying Yang:
Class Specific Fuzzy Decision Trees for Mining High Speed Data Streams. Fundam. Informaticae 88(1-2): 135-160 (2008) - [c11]Majid Pourkashani, Mohammad Reza Kangavari:
A cellular automata approach to detecting concept drift and dealing with noise. AICCSA 2008: 142-148 - [c10]Afshin Salajegheh, Mohammad Reza Kangavari:
Designing an Extensible Query Language for Data Mining. DMIN 2008: 348-354 - 2007
- [c9]Sattar Hashemi, Ying Yang, Majid Pourkashani, Mohammad Reza Kangavari:
To Better Handle Concept Change and Noise: A Cellular Automata Approach to Data Stream Classification. Australian Conference on Artificial Intelligence 2007: 669-674 - [c8]Mohammad-Reza Feizi-Derakhshi, Mohammad Reza Kangavari:
Using Recurrent Fuzzy Neural Networks for Predicting Word Boundaries in a Phoneme Sequence in Persian Language. HCI (3) 2007: 50-59 - [c7]Amin Shali, Mohammad Reza Kangavari, Bahareh Bina:
Using genetic programming for the induction of oblique decision trees. ICMLA 2007: 38-43 - [c6]Ramin Fathzadeh, Vahid Mokhtari, Mohammad Reza Kangavari:
Opponent Provocation and Behavior Classification: A Machine Learning Approach. RoboCup 2007: 540-547 - 2006
- [c5]Zahra Farzanyar, Mohammad Reza Kangavari, Sattar Hashemi:
Effect of Similar Behaving Attributes in Mining of Fuzzy Association Rules in the Large Databases. ICCSA (1) 2006: 1100-1109 - [c4]Zahra Farzanyar, Mohammad Reza Kangavari, Sattar Hashemi:
A New Algorithm for Mining Fuzzy Association Rules in the Large Databases Based on Ontology. ICDM Workshops 2006: 65-69 - [c3]Zahra Farzanyar, Mohammad Reza Kangavari, Sattar Hashemi:
An Efficient Distributed Algorithm for Mining Association Rules. ISPA 2006: 383-393 - [c2]Behrang QasemiZadeh, Hadi Restgou Haghi, Mohammad Reza Kangavari:
A Framework for Temporal Content Modeling of Video Data Using an Ontological Infrastructure. SKG 2006: 38 - 2004
- [c1]Mohammad Nejad Sedaghat, Nina Gholami, Sina Iravanian, Mohammad Reza Kangavari:
Design and Implementation of Live Commentary System in Soccer Simulation Environment. RoboCup 2004: 602-610
Coauthor Index
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last updated on 2024-10-04 20:03 CEST by the dblp team
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