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publications
A robust correntropy-based method for analyzing multisample aCGH data
Published in Genomics, 2015
A robust correntropy-based method for analyzing multisample aCGH data
Recommended citation: Mohammadi, Majid, Hodtani, Ghosheh Abed, Yassi, Maryam. A robust correntropy-based method for analyzing multisample aCGH data. Genomics 2015.
Mat-aCGH: a Matlab toolbox for simultaneous multisample aCGH data analysis and visualization
Published in bioRxiv, 2015
Mat-aCGH: a Matlab toolbox for simultaneous multisample aCGH data analysis and visualization
Recommended citation: Mohammadi, Majid, Sharifi Noghabi, Hossein. Mat-aCGH: a Matlab toolbox for simultaneous multisample aCGH data analysis and visualization. bioRxiv 2015.
Robust Group Fused Lasso for Multisample CNV Detection under Uncertainty
Published in bioRxiv, 2015
Robust Group Fused Lasso for Multisample CNV Detection under Uncertainty
Recommended citation: Noghabi, Hossein Sharifi, Mohammadi, Majid. Robust Group Fused Lasso for Multisample CNV Detection under Uncertainty. bioRxiv 2015.
A robust aCGH data recovery framework based on half quadratic minimization
Published in Computers in biology and medicine, 2016
A robust aCGH data recovery framework based on half quadratic minimization
Recommended citation: Mohammadi, Majid, Hodtani, Ghosheh Abed. A robust aCGH data recovery framework based on half quadratic minimization. Computers in biology and medicine 2016.
Ontology Matching Evaluation: A Statistical Perspective
Published in OM@ ISWC, 2016
Ontology Matching Evaluation: A Statistical Perspective
Recommended citation: Mohammadi, Majid, Hofman, Wout, Tan, Yao-hua. Ontology Matching Evaluation: A Statistical Perspective. OM@ ISWC 2016.
Robust and stable gene selection via maximum–minimum correntropy criterion
Published in Genomics, 2016
Robust and stable gene selection via maximum–minimum correntropy criterion
Recommended citation: Mohammadi, Majid, Noghabi, Hossein Sharifi, Hodtani, Ghosheh Abed, Mashhadi, Habib Rajabi. Robust and stable gene selection via maximum--minimum correntropy criterion. Genomics 2016.
Robust crowdsourcing-based linear regression
Published in 2016 6th International Conference on Computer and Knowledge Engineering (ICCKE), 2016
Robust crowdsourcing-based linear regression
Recommended citation: Abbaasi, Saeid, Mohammadi, Majid, Davodly, Ehsan Shams. Robust crowdsourcing-based linear regression. 2016 6th International Conference on Computer and Knowledge Engineering (ICCKE) 2016.
Robust group fused lasso for multisample copy number variation detection under uncertainty
Published in IET Systems Biology, 2016
Robust group fused lasso for multisample copy number variation detection under uncertainty
Recommended citation: Sharifi Noghabi, Hossein, Mohammadi, Majid, Tan, Yao-Hua. Robust group fused lasso for multisample copy number variation detection under uncertainty. IET Systems Biology 2016.
Results of the ontology alignment evaluation initiative 2017?
Published in CEUR Workshop Proceedings, 2017
Results of the ontology alignment evaluation initiative 2017?
Recommended citation: Achichi, Manel, Cheatham, Michelle, Dragisic, Zlatan, Euzenat, J{\'e}r{\^o}me, Faria, Daniel, Ferrara, Alfio, Flouris, Giorgos, Fundulaki, Irini, Harrow, Ian, Ivanova, Valentina, others. Results of the ontology alignment evaluation initiative 2017?. CEUR Workshop Proceedings 2017.
SANOM results for OAEI 2017.
Published in OM@ ISWC, 2017
SANOM results for OAEI 2017.
Recommended citation: Mohammadi, Majid, Atashin, Amir Ahooye, Hofman, Wout, Tan, Yao-Hua. SANOM results for OAEI 2017.. OM@ ISWC 2017.
Solving the L1 regularized least square problem via a box-constrained smooth minimization
Published in arXiv preprint arXiv:1704.03443, 2017
Solving the L1 regularized least square problem via a box-constrained smooth minimization
Recommended citation: Mohammadi, Majid, Hofman, Wout, Tan, Yaohua, Mousavi, S Hamid. Solving the L1 regularized least square problem via a box-constrained smooth minimization. arXiv preprint arXiv:1704.03443 2017.
A comparative study of ontology matching systems via inferential statistics
Published in IEEE Transactions on Knowledge and Data Engineering, 2018
A comparative study of ontology matching systems via inferential statistics
Recommended citation: Mohammadi, Majid, Hofman, Wout, Tan, Yao-Hua. A comparative study of ontology matching systems via inferential statistics. IEEE Transactions on Knowledge and Data Engineering 2018.
A novel one-layer recurrent neural network for the l1-regularized least square problem
Published in Neurocomputing, 2018
A novel one-layer recurrent neural network for the l1-regularized least square problem
Recommended citation: Mohammadi, Majid, Tan, Yao-Hua, Hofman, Wout, Mousavi, S Hamid. A novel one-layer recurrent neural network for the l1-regularized least square problem. Neurocomputing 2018.
A projection neural network for identifying copy number variants
Published in IEEE journal of biomedical and health informatics, 2018
A projection neural network for identifying copy number variants
Recommended citation: Mohammadi, Majid, Mansoori, Amin. A projection neural network for identifying copy number variants. IEEE journal of biomedical and health informatics 2018.
An Entropy-Regularized Framework for Detecting Copy Number Variants
Published in IEEE Transactions on Biomedical Engineering, 2018
An Entropy-Regularized Framework for Detecting Copy Number Variants
Recommended citation: Mohammadi, Majid, Farahi, Fahime. An Entropy-Regularized Framework for Detecting Copy Number Variants. IEEE Transactions on Biomedical Engineering 2018.
Comparison of ontology alignment systems across single matching task via the McNemar’s test
Published in ACM Transactions on Knowledge Discovery from Data (TKDD), 2018
Comparison of ontology alignment systems across single matching task via the McNemar’s test
Recommended citation: Mohammadi, Majid, Atashin, Amir Ahooye, Hofman, Wout, Tan, Yaohua. Comparison of ontology alignment systems across single matching task via the McNemar’s test. ACM Transactions on Knowledge Discovery from Data (TKDD) 2018.
Introducing the HOBBIT platform into the ontology alignment evaluation campaign
Published in OM 2018-13th International Workshop on Ontology Matching, 2018
Introducing the HOBBIT platform into the ontology alignment evaluation campaign
Recommended citation: Jim{\'e}nez-Ruiz, Ernesto, Saveta, Tzanina, Zamazal, Ondrej, Hertling, Sven, Roder, Michael, Fundulaki, Irini, Ngomo, Axel Ngonga, Sherif, Mohamed, Annane, Amina, Bellahsene, Zohra, others. Introducing the HOBBIT platform into the ontology alignment evaluation campaign. OM 2018-13th International Workshop on Ontology Matching 2018.
Ontology matching: Om-2018: Proceedings of the iswc workshop
Published in OM 2018-13th ISWC workshop on ontology matching, 2018
Ontology matching: Om-2018: Proceedings of the iswc workshop
Recommended citation: Shvaiko, Pavel, Euzenat, J{\'e}r{\^o}me, Jim{\'e}nez-Ruiz, Ernesto, Cheatham, Michelle, Hassanzadeh, Oktie. Ontology matching: Om-2018: Proceedings of the iswc workshop. OM 2018-13th ISWC workshop on ontology matching 2018.
SANOM results for OAEI 2018.
Published in OM@ ISWC, 2018
SANOM results for OAEI 2018.
Recommended citation: Mohammadi, Majid, Hofman, Wout, Tan, Yao-Hua. SANOM results for OAEI 2018.. OM@ ISWC 2018.
A compact neural network for fused lasso signal approximator
Published in IEEE transactions on cybernetics, 2019
A compact neural network for fused lasso signal approximator
Recommended citation: Mohammadi, Majid. A compact neural network for fused lasso signal approximator. IEEE transactions on cybernetics 2019.
A projection neural network for the generalized lasso
Published in IEEE transactions on neural networks and learning systems, 2019
A projection neural network for the generalized lasso
Recommended citation: Mohammadi, Majid. A projection neural network for the generalized lasso. IEEE transactions on neural networks and learning systems 2019.
Bayesian evaluation and comparison of ontology alignment systems
Published in IEEE Access, 2019
Bayesian evaluation and comparison of ontology alignment systems
Recommended citation: Mohammadi, Majid. Bayesian evaluation and comparison of ontology alignment systems. IEEE Access 2019.
Computational rumor detection without non-rumor: A one-class classification approach
Published in IEEE Transactions on Computational Social Systems, 2019
Computational rumor detection without non-rumor: A one-class classification approach
Recommended citation: Fard, Amir Ebrahimi, Mohammadi, Majid, Chen, Yang, Van de Walle, Bartel. Computational rumor detection without non-rumor: A one-class classification approach. IEEE Transactions on Computational Social Systems 2019.
Generalized variant support vector machine
Published in IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019
Generalized variant support vector machine
Recommended citation: Mohammadi, Majid, Mousavi, S Hamid, Effati, Sohrab. Generalized variant support vector machine. IEEE Transactions on Systems, Man, and Cybernetics: Systems 2019.
Rumour as an anomaly: rumour detection with one-class classification
Published in 2019 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC), 2019
Rumour as an anomaly: rumour detection with one-class classification
Recommended citation: Fard, Amir Ebrahimi, Mohammadi, Majid, Cunningham, Scott, Van de Walle, Bartel. Rumour as an anomaly: rumour detection with one-class classification. 2019 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC) 2019.
Simulated annealing-based ontology matching
Published in ACM Transactions on Management Information Systems (TMIS), 2019
Simulated annealing-based ontology matching
Recommended citation: Mohammadi, Majid, Hofman, Wout, Tan, Yao-Hua. Simulated annealing-based ontology matching. ACM Transactions on Management Information Systems (TMIS) 2019.
Bayesian best-worst method: A probabilistic group decision making model
Published in Omega, 2020
Bayesian best-worst method: A probabilistic group decision making model
Recommended citation: Mohammadi, Majid, Rezaei, Jafar. Bayesian best-worst method: A probabilistic group decision making model. Omega 2020.
Detecting rumours in disasters: an imbalanced learning approach
Published in International conference on computational science, 2020
Detecting rumours in disasters: an imbalanced learning approach
Recommended citation: Fard, Amir Ebrahimi, Mohammadi, Majid, de Walle, Bartel van. Detecting rumours in disasters: an imbalanced learning approach. International conference on computational science 2020.
Ensemble ranking: Aggregation of rankings produced by different multi-criteria decision-making methods
Published in Omega, 2020
Ensemble ranking: Aggregation of rankings produced by different multi-criteria decision-making methods
Recommended citation: Mohammadi, Majid, Rezaei, Jafar. Ensemble ranking: Aggregation of rankings produced by different multi-criteria decision-making methods. Omega 2020.
Evaluating and comparing ontology alignment systems: an MCDM approach
Published in Journal of Web Semantics, 2020
Evaluating and comparing ontology alignment systems: an MCDM approach
Recommended citation: Mohammadi, Majid, Rezaei, Jafar. Evaluating and comparing ontology alignment systems: an MCDM approach. Journal of Web Semantics 2020.
Ontology alignment: Simulated annealing-based system, statistical evaluation, and application to logistics interoperability
Published in , 2020
Ontology alignment: Simulated annealing-based system, statistical evaluation, and application to logistics interoperability
Recommended citation: Mohammadi, Majeed. Ontology alignment: Simulated annealing-based system, statistical evaluation, and application to logistics interoperability. 2020.
SANOM-HOBBIT: simulated annealing-based ontology matching on HOBBIT platform
Published in The Knowledge Engineering Review, 2020
SANOM-HOBBIT: simulated annealing-based ontology matching on HOBBIT platform
Recommended citation: Mohammadi, Majid, Hofman, Wout, Tan, Yao-Hua. SANOM-HOBBIT: simulated annealing-based ontology matching on HOBBIT platform. The Knowledge Engineering Review 2020.
SANOM results for OAEI 2019
Published in arXiv preprint arXiv:2006.05219, 2020
SANOM results for OAEI 2019
Recommended citation: Mohammadi, Majid, Atashin, Amir Ahooye, Hofman, Wout, Tan, Yao-Hua. SANOM results for OAEI 2019. arXiv preprint arXiv:2006.05219 2020.
Seamless interoperability in logistics by ontology alignment
Published in Journal of Supply Chain Management Science, 2020
Seamless interoperability in logistics by ontology alignment
Recommended citation: Mohammadi, Majid, Hofman, Wout, Tan, Yao-Hua. Seamless interoperability in logistics by ontology alignment. Journal of Supply Chain Management Science 2020.
Singling the odd ones out: a novelty detection approach to find defects in infrastructure-as-code
Published in Proceedings of the 4th ACM SIGSOFT International Workshop on Machine-Learning Techniques for Software-Quality Evaluation, 2020
Singling the odd ones out: a novelty detection approach to find defects in infrastructure-as-code
Recommended citation: Palma, Stefano Dalla, Mohammadi, Majid, Di Nucci, Dario, Tamburri, Damian A. Singling the odd ones out: a novelty detection approach to find defects in infrastructure-as-code. Proceedings of the 4th ACM SIGSOFT International Workshop on Machine-Learning Techniques for Software-Quality Evaluation 2020.
Singling the Odd Ones Out: A Novelty Detection Approach to Find Defects in Infrastructure-as-Code
Published in The 4th edition of the International Workshop on Machine Learning Techniques for Software Quality Evolution, 2020
Singling the Odd Ones Out: A Novelty Detection Approach to Find Defects in Infrastructure-as-Code
Recommended citation: Dalla Palma, Stefano, Mohammadi, Majid, Di Nucci, Dario, Tamburri, Damian A. Singling the Odd Ones Out: A Novelty Detection Approach to Find Defects in Infrastructure-as-Code. The 4th edition of the International Workshop on Machine Learning Techniques for Software Quality Evolution 2020.
A new discrete-time neural network for quadratic programming with general linear constraints
Published in Neurocomputing, 2021
A new discrete-time neural network for quadratic programming with general linear constraints
Recommended citation: Mohammadi, Majid. A new discrete-time neural network for quadratic programming with general linear constraints. Neurocomputing 2021.
Hierarchical evaluation of criteria and alternatives within BWM: A Monte Carlo approach
Published in The international workshop on best-worst method, 2021
Hierarchical evaluation of criteria and alternatives within BWM: A Monte Carlo approach
Recommended citation: Mohammadi, Majid, Rezaei, Jafar. Hierarchical evaluation of criteria and alternatives within BWM: A Monte Carlo approach. The international workshop on best-worst method 2021.
Local Explanations for Clinical Search Engine results
Published in arXiv preprint arXiv:2110.12891, 2021
Local Explanations for Clinical Search Engine results
Recommended citation: Contempr{\'e}, Edeline, Szl{\'a}vik, Zolt{\'a}n, Mohammadi, Majid, Velazquez, Erick, Teije, Annette ten, Tiddi, Ilaria. Local Explanations for Clinical Search Engine results. arXiv preprint arXiv:2110.12891 2021.
Advances in Best-Worst Method
Published in , 2022
Advances in Best-Worst Method
Recommended citation: Rezaei, Jafar, Brunelli, Matteo, Mohammadi, Majid. Advances in Best-Worst Method. 2022.
Assessing measures implemented by export-oriented RMG firms in an emerging economy during COVID-19
Published in Computers \& industrial engineering, 2022
Assessing measures implemented by export-oriented RMG firms in an emerging economy during COVID-19
Recommended citation: Munim, Ziaul Haque, Mohammadi, Majid, Shakil, Mohammad Hassan, Ali, Syed Mithun. Assessing measures implemented by export-oriented RMG firms in an emerging economy during COVID-19. Computers \& industrial engineering 2022.
FOCloud: feature model guided performance prediction and explanation for deployment configurable cloud applications
Published in IEEE Transactions on Services Computing, 2022
FOCloud: feature model guided performance prediction and explanation for deployment configurable cloud applications
Recommended citation: Kumara, Indika, Ariz, Mohamed Hameez, Chhetri, Mohan Baruwal, Mohammadi, Majid, Van Den Heuvel, Willem-Jan, Tamburri, Damian A. FOCloud: feature model guided performance prediction and explanation for deployment configurable cloud applications. IEEE Transactions on Services Computing 2022.
Identifying Relative Marginal Value Functions for Ranking
Published in The International Workshop on Best-Worst Method, 2022
Identifying Relative Marginal Value Functions for Ranking
Recommended citation: Mohammadi, Majid, Rezaei, Jafar. Identifying Relative Marginal Value Functions for Ranking. The International Workshop on Best-Worst Method 2022.
Unified Bayesian Frameworks for Multi-criteria Decision-making.
Published in CoRR, 2022
Unified Bayesian Frameworks for Multi-criteria Decision-making.
Recommended citation: Mohammadi, Majid. Unified Bayesian Frameworks for Multi-criteria Decision-making.. CoRR 2022.
A Local Non-Additive Framework for Explaining Black-Box Predictive Models
Published in ECAI 2023, 2023
A Local Non-Additive Framework for Explaining Black-Box Predictive Models
Recommended citation: Mohammadi, Majid, Tiddi, Ilaria, Ten Teije, Annette. A Local Non-Additive Framework for Explaining Black-Box Predictive Models. ECAI 2023 2023.
Bayesian meta-analysis of software defect prediction with machine learning
Published in IEEE Transactions on Industrial Cyber-Physical Systems, 2023
Bayesian meta-analysis of software defect prediction with machine learning
Recommended citation: Mohammadi, Majid, Di Nucci, Dario, Tamburri, Damian A. Bayesian meta-analysis of software defect prediction with machine learning. IEEE Transactions on Industrial Cyber-Physical Systems 2023.
From ℓ1 subgradient to projection: A compact neural network for ℓ1-regularized logistic regression
Published in Neurocomputing, 2023
From ℓ1 subgradient to projection: A compact neural network for ℓ1-regularized logistic regression
Recommended citation: Mohammadi, Majid, Atashin, Amir Ahooye, Tamburri, Damian A. From ℓ1 subgradient to projection: A compact neural network for ℓ1-regularized logistic regression. Neurocomputing 2023.
Knowledge graph embeddings using neural ito process: From multiple walks to stochastic trajectories
Published in Findings of the Association for Computational Linguistics: ACL 2023, 2023
Knowledge graph embeddings using neural ito process: From multiple walks to stochastic trajectories
Recommended citation: Nayyeri, Mojtaba, Xiong, Bo, Mohammadi, Majid, Akter, Mst Mahfuja, Alam, Mirza Mohtashim, Lehmann, Jens, Staab, Steffen. Knowledge graph embeddings using neural ito process: From multiple walks to stochastic trajectories. Findings of the Association for Computational Linguistics: ACL 2023 2023.
Probabilistic group decision-making using BWT
Published in The International Workshop on Best-Worst Method, 2023
Probabilistic group decision-making using BWT
Recommended citation: Mohammadi, Majid, Liang, Fuqi, Brunelli, Matteo, Rezaei, Jafar. Probabilistic group decision-making using BWT. The International Workshop on Best-Worst Method 2023.
Ratio product model: A rank-preserving normalization-agnostic multi-criteria decision-making method
Published in Journal of Multi-Criteria Decision Analysis, 2023
Ratio product model: A rank-preserving normalization-agnostic multi-criteria decision-making method
Recommended citation: Mohammadi, Majid, Rezaei, Jafar. Ratio product model: A rank-preserving normalization-agnostic multi-criteria decision-making method. Journal of Multi-Criteria Decision Analysis 2023.
Supervised Machine Learning in a Nutshell
Published in Data Science for Entrepreneurship: Principles and Methods for Data Engineering, Analytics, Entrepreneurship, and the Society, 2023
Supervised Machine Learning in a Nutshell
Recommended citation: Mohammadi, Majid, Di Nucci, Dario. Supervised Machine Learning in a Nutshell. Data Science for Entrepreneurship: Principles and Methods for Data Engineering, Analytics, Entrepreneurship, and the Society 2023.
Unveiling and unraveling aggregation and dispersion fallacies in group MCDM
Published in Group Decision and Negotiation, 2023
Unveiling and unraveling aggregation and dispersion fallacies in group MCDM
Recommended citation: Mohammadi, Majid, Tamburri, Damian A, Rezaei, Jafar. Unveiling and unraveling aggregation and dispersion fallacies in group MCDM. Group Decision and Negotiation 2023.
Cage: Causality-aware shapley value for global explanations
Published in World Conference on Explainable Artificial Intelligence, 2024
Cage: Causality-aware shapley value for global explanations
Recommended citation: Breuer, Nils Ole, Sauter, Andreas, Mohammadi, Majid, Acar, Erman. Cage: Causality-aware shapley value for global explanations. World Conference on Explainable Artificial Intelligence 2024.
Computing Exact Shapley Values in Polynomial Time for Product-Kernel Methods
Published in arXiv preprint arXiv:2505.16516, 2025
Computing Exact Shapley Values in Polynomial Time for Product-Kernel Methods
Recommended citation: Mohammadi, Majid, Chau, Siu Lun, Muandet, Krikamol. Computing Exact Shapley Values in Polynomial Time for Product-Kernel Methods. arXiv preprint arXiv:2505.16516 2025.
Cross-linking clinical practice guidelines for multimorbidity
Published in Informatics in Medicine Unlocked, 2025
Cross-linking clinical practice guidelines for multimorbidity
Recommended citation: Mohammadi, Majid, ten Teije, Annette, Christen, Tim, de Groot, Janke, Verhoeff, Marlies. Cross-linking clinical practice guidelines for multimorbidity. Informatics in Medicine Unlocked 2025.
Fostering sustainable urban mobility via stakeholder engagement: A novel analytic hierarchy process and half-quadratic programming
Published in Research in Transportation Business \& Management, 2025
Fostering sustainable urban mobility via stakeholder engagement: A novel analytic hierarchy process and half-quadratic programming
Recommended citation: Moslem, Sarbast, Mohammadi, Majid, Ismael, Karzan, Esztergar-Kiss, Domokos. Fostering sustainable urban mobility via stakeholder engagement: A novel analytic hierarchy process and half-quadratic programming. Research in Transportation Business \& Management 2025.
Hierarchical Conformal Classification
Published in arXiv preprint arXiv:2508.13288, 2025
Hierarchical Conformal Classification
Recommended citation: Hengst, Floris den, Blin, Ines, Mohammadi, Majid, Shah, Syed Ihtesham Hussain, Younesian, Taraneh. Hierarchical Conformal Classification. arXiv preprint arXiv:2508.13288 2025.
Recursive Self-Similarity in Deep Weight Spaces of Neural Architectures: A Fractal and Coarse Geometry Perspective
Published in arXiv preprint arXiv:2503.14298, 2025
Recursive Self-Similarity in Deep Weight Spaces of Neural Architectures: A Fractal and Coarse Geometry Perspective
Recommended citation: Moharil, Ambarish, Kumara, Indika, Tamburri, Damian Andrew, Mohammadi, Majid, Heuvel, Willem-Jan van den. Recursive Self-Similarity in Deep Weight Spaces of Neural Architectures: A Fractal and Coarse Geometry Perspective. arXiv preprint arXiv:2503.14298 2025.
Support Vector-based Estimation of Multilinear Games for Feature Selection and Explanation
Published in Proceedings of the AAAI Conference on Artificial Intelligence, 2025
Support Vector-based Estimation of Multilinear Games for Feature Selection and Explanation
Recommended citation: Mohammadi, Majid, Tiddi, Ilaria, Ten Teije, Annette. Support Vector-based Estimation of Multilinear Games for Feature Selection and Explanation. Proceedings of the AAAI Conference on Artificial Intelligence 2025.
Unlocking the game: Estimating games in Möbius representation for explanation and high-order interaction detection
Published in Proceedings of the AAAI Conference on Artificial Intelligence, 2025
Unlocking the game: Estimating games in Möbius representation for explanation and high-order interaction detection
Recommended citation: Mohammadi, Majid, Tiddi, Ilaria, Ten Teije, Annette. Unlocking the game: Estimating games in Möbius representation for explanation and high-order interaction detection. Proceedings of the AAAI Conference on Artificial Intelligence 2025.
Interoperability in Logistics: An Ontology Alignment Approach
Published in , 2025
Interoperability in Logistics: An Ontology Alignment Approach
Recommended citation: Mohammadi, Majeed, Hofman, Wout, Tan, Yao-Hua. Interoperability in Logistics: An Ontology Alignment Approach. .
Exact shapley attributions in quadratic-time for fanova gaussian processes
Published in Proceedings of the AAAI Conference on Artificial Intelligence, 2026
Exact shapley attributions in quadratic-time for fanova gaussian processes
Recommended citation: Mohammadi, Majid, Muandet, Krikamol, Tiddi, Ilaria, Teije, Annette Ten, Chau, Siu Lun. Exact shapley attributions in quadratic-time for fanova gaussian processes. Proceedings of the AAAI Conference on Artificial Intelligence, 2026.
talks
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