Search results for "ensembles"

Hits ?▲	Authors	Title	Venue	Year	Link
10	Abraham Chan	Building Resilient ML Applications using Ensembles against Faulty Training Data.	ISSREW	2023	DBLP DOI BibTeX RDF
10	Luxin Cai, Naiyue Chen, Yuanzhouhan Cao, Jiahuan He, Yidong Li	FedCE: Personalized Federated Learning Method based on Clustering Ensembles.	ACM Multimedia	2023	DBLP DOI BibTeX RDF
10	Sérgio de Vasconcelos Filho, Fernando M. de Paula Neto	RemissIA: a remission identification approach in cancer patients using machine learning ensembles.	LA-CCI	2023	DBLP DOI BibTeX RDF
10	Julia Ongchoco, Tyler Knowlton, Anna Papafragou	Language Shifts the Representation of Sounds in Time: From Auditory Individuals to Auditory Ensembles.	CogSci	2023	DBLP BibTeX RDF
10	Amit Chandak, Purushottam Kar, Piyush Rai	Gradient Perturbation-based Efficient Deep Ensembles.	COMAD/CODS	2023	DBLP DOI BibTeX RDF
10	Shengcai Liu, Fu Peng, Ke Tang 0001	Reliable Robustness Evaluation via Automatically Constructed Attack Ensembles.	AAAI	2023	DBLP DOI BibTeX RDF
10	Valency Oscar Colaco, Simin Nadjm-Tehrani	Formal Verification of Tree Ensembles against Real-World Composite Geometric Perturbations.	SafeAI@AAAI	2023	DBLP BibTeX RDF
10	Lucas Berry, David Meger	Normalizing Flow Ensembles for Rich Aleatoric and Epistemic Uncertainty Modeling.	AAAI	2023	DBLP DOI BibTeX RDF
10	Hun Namkung, Zaoxing Liu, Daehyeok Kim, Vyas Sekar, Peter Steenkiste	Sketchovsky: Enabling Ensembles of Sketches on Programmable Switches.	NSDI	2023	DBLP BibTeX RDF
10	JunKoo Lee, Tai-Myoung Chung	Stacking Ensembles-based Approach for Pattern Diagnosis of Tabular Data.	ICTC	2023	DBLP DOI BibTeX RDF
10	Marko Durasevic, Francisco Javier Gil Gala, Domagoj Jakobovic	Does size matter? On the influence of ensemble size on constructing ensembles of dispatching rules.	GECCO Companion	2023	DBLP DOI BibTeX RDF
10	Marcel Wever, Miran Özdogan, Eyke Hüllermeier	Cooperative Co-Evolution for Ensembles of Nested Dichotomies for Multi-Class Classification.	GECCO	2023	DBLP DOI BibTeX RDF
10	Emna Ben Yacoub	Trapping and Absorbing Set Enumerators for Multi-Edge Type LDPC Code Ensembles.	Allerton	2023	DBLP DOI BibTeX RDF
10	Ruilin Zhou, Xuanying Lai, Yuhang Gan, Katia Obraczka, Shengwang Du, Chen Qian 0001	A Simulator of Atom-Atom Entanglement with Atomic Ensembles and Quantum Optics.	QCE	2023	DBLP DOI BibTeX RDF
10	Fatemeh Farokhmanesh, Kevin Höhlein, Christoph Neuhauser, Rüdiger Westermann	Neural Fields for Interactive Visualization of Statistical Dependencies in 3D Simulation Ensembles.	VMV	2023	DBLP DOI BibTeX RDF
10	Egor Dudyrev, Sergei O. Kuznetsov, Amedeo Napoli	Description Quivers for Compact Representation of Concept Lattices and Ensembles of Decision Trees.	ICFCA	2023	DBLP DOI BibTeX RDF
10	Raghav R, Jason Rauchwerk, Parth Rajwade, Tanay Gummadi, Eric Nyberg, Teruko Mitamura	Biomedical Question Answering with Transformer Ensembles.	CLEF (Working Notes)	2023	DBLP BibTeX RDF
10	Mirunalini Palaniappan, Haricharan Bharathi, Eeswara Anvesh Chodisetty, Anirudh Bhaskar, Karthik Desingu	Concept Detection and Caption Prediction from Medical Images using Gradient Boosted Ensembles and Deep Learning.	CLEF (Working Notes)	2023	DBLP BibTeX RDF
10	Fatima Zahrae Nakach, Ali Idri, Hasnae Zerouaoui	Deep Hybrid Bagging Ensembles for Classifying Histopathological Breast Cancer Images.	ICAART (2)	2023	DBLP DOI BibTeX RDF
10	Mohamed Zaim Wadghiri, Ali Idri	Bagged Ensembles for Blood Glucose Prediction: A Comparative Study.	ICAART (3)	2023	DBLP DOI BibTeX RDF
10	Michael Feffer, Martin Hirzel, Samuel C. Hoffman, Kiran Kate, Parikshit Ram, Avraham Shinnar	Searching for Fairer Machine Learning Ensembles.	AutoML	2023	DBLP BibTeX RDF
10	Oleksandr Balabanov, Bernhard Mehlig, Hampus Linander	Bayesian Posterior Approximation With Stochastic Ensembles.	CVPR	2023	DBLP DOI BibTeX RDF
10	Jianqing Xu, Shen Li 0004, Ailin Deng, Miao Xiong, Jiaying Wu, Jiaxiang Wu 0002, Shouhong Ding, Bryan Hooi	Probabilistic Knowledge Distillation of Face Ensembles.	CVPR	2023	DBLP DOI BibTeX RDF
10	Matias Valdenegro-Toro	Sub-Ensembles for Fast Uncertainty Estimation in Neural Networks.	ICCV (Workshops)	2023	DBLP DOI BibTeX RDF
10	Rafael Rosales, Pablo Munoz, Michael Paulitsch	Assessing the Impact of Diversity on the Resilience of Deep Learning Ensembles: A Comparative Study on Model Architecture, Output, Activation, and Attribution.	ICCV (Workshops)	2023	DBLP DOI BibTeX RDF
10	Isak Meding, Alexander Bodin, Adam Tonderski, Joakim Johnander, Christoffer Petersson, Lennart Svensson	You can have your ensemble and run it too - Deep Ensembles Spread Over Time.	ICCV (Workshops)	2023	DBLP DOI BibTeX RDF
10	Weipeng Zhou, Majid Afshar, Dmitriy Dligach, Yanjun Gao, Timothy Miller 0002	Improving the Transferability of Clinical Note Section Classification Models with BERT and Large Language Model Ensembles.	ClinicalNLP@ACL	2023	DBLP DOI BibTeX RDF
10	Chaymae Miloudi, Laila Cheikhi, Ali Idri, Alain Abran	Bug Resolution Prediction for Open-Source Software Using Ensembles of Instance Selection Algorithms.	CoDIT	2023	DBLP DOI BibTeX RDF
10	Giorgio Audrito, Roberto Casadei, Ferruccio Damiani, Gianluca Torta, Mirko Viroli	Programming Distributed Collective Processes for Dynamic Ensembles and Collective Tasks.	COORDINATION	2023	DBLP DOI BibTeX RDF
10	Fabricio A. Breve	Convolutional Neural Networks and Ensembles for Visually Impaired Aid.	ICCSA (1)	2023	DBLP DOI BibTeX RDF
10	Florian Ruosch, Cristina Sarasua, Abraham Bernstein	DREAM: Deployment of Recombination and Ensembles in Argument Mining.	EMNLP	2023	DBLP DOI BibTeX RDF
10	Akash K. Rao, Gunjan Y. Trivedi, Anshika Bajpai, Gajraj Singh Chouhan, Riri G. Trivedi, Anita Kumar, Varun Dutt, Kathirvel Soundappan, Hemalatha Ramani	Predicting Adverse Childhood Experiences via Machine Learning Ensembles.	PETRA	2023	DBLP DOI BibTeX RDF
10	Benjamin S. Ruben, Cengiz Pehlevan	Learning Curves for Noisy Heterogeneous Feature-Subsampled Ridge Ensembles.	NeurIPS	2023	DBLP BibTeX RDF
10	Don Kurian Dennis, Abhishek Shetty, Anish Prasad Sevekari, Kazuhito Koishida, Virginia Smith	Progressive Ensemble Distillation: Building Ensembles for Efficient Inference.	NeurIPS	2023	DBLP BibTeX RDF
10	Yash Gupta, Runtian Zhai, Arun Sai Suggala, Pradeep Ravikumar	Responsible AI (RAI) Games and Ensembles.	NeurIPS	2023	DBLP BibTeX RDF
10	Alan Jeffares, Tennison Liu, Jonathan Crabbé, Mihaela van der Schaar	Joint Training of Deep Ensembles Fails Due to Learner Collusion.	NeurIPS	2023	DBLP BibTeX RDF
10	Ryan Theisen, Hyunsuk Kim, Yaoqing Yang, Liam Hodgkinson, Michael W. Mahoney	When are ensembles really effective?	NeurIPS	2023	DBLP BibTeX RDF
10	Florian Seligmann, Philipp Becker, Michael Volpp, Gerhard Neumann	Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift.	NeurIPS	2023	DBLP BibTeX RDF
10	Veit David Wild, Sahra Ghalebikesabi, Dino Sejdinovic, Jeremias Knoblauch	A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods.	NeurIPS	2023	DBLP BibTeX RDF
10	Chaymaa Lahmar, Ali Idri	Enhancing Diabetic Retinopathy Detection Using CNNs with Dimensionality Reduction Techniques and K-Nearest Neighbors Ensembles.	KDIR	2023	DBLP DOI BibTeX RDF
10	Sining Chen, Yilei Shi, Xiao Xiang Zhu 0001	Long-tailed Regression with Ensembles for Monocular Height Estimation from Single Remote Sensing Images.	JURSE	2023	DBLP DOI BibTeX RDF
10	Tim Whitaker, Darrell Whitley	Interpretable Diversity Analysis: Visualizing Feature Representations in Low-Cost Ensembles.	IJCNN	2023	DBLP DOI BibTeX RDF
10	Adam Piróg, Halina Kwasnicka	Snapshot Spectral Clustering - a costless approach to deep clustering ensembles generation.	IJCNN	2023	DBLP DOI BibTeX RDF
10	Katsiaryna Haitsiukevich, Alexander Ilin	Improved Training of Physics-Informed Neural Networks with Model Ensembles.	IJCNN	2023	DBLP DOI BibTeX RDF
10	Qiang Hu, Yuejun Guo 0001, Maxime Cordy, Mike Papadakis, Yves Le Traon	MUTEN: Mutant-Based Ensembles for Boosting Gradient-Based Adversarial Attack.	ASE	2023	DBLP DOI BibTeX RDF
10	Javier Cruz, Lucas Elvira, Miguel Tabernero, Isabel Segura-Bedmar	In Unity, There Is Strength: On Weighted Voting Ensembles for Hurtful Humour Detection.	IberLEF@SEPLN	2023	DBLP BibTeX RDF
10	Andrei-Alexandru Preda, Dumitru-Clementin Cercel, Traian Rebedea, Costin-Gabriel Chiru	UPB at IberLEF-2023 AuTexTification: Detection of Machine-Generated Text using Transformer Ensembles.	IberLEF@SEPLN	2023	DBLP BibTeX RDF
10	Alexander Hustinx, Fabio Hellmann, Ömer Sümer, Behnam Javanmardi, Elisabeth André, Peter Krawitz, Tzung-Chien Hsieh	Improving Deep Facial Phenotyping for Ultra-rare Disorder Verification Using Model Ensembles.	WACV	2023	DBLP DOI BibTeX RDF
10	Jesaías Carvalho Pereira Silva, Anne Magály de Paula Canuto, Araken de Medeiros Santos	The Dynamic Selection of Combination Methods in Classifier Ensembles by Region of Competence.	ICANN (9)	2023	DBLP DOI BibTeX RDF
10	Florian Van Daalen, Lianne Ippel, Andre Dekker, Iñigo Bermejo	Federated Bayesian Network Ensembles.	FMEC	2023	DBLP DOI BibTeX RDF
10	Matteo Vaghi, Fabio D'Elia, Augusto Luis Ballardini, Domenico Giorgio Sorrenti	Understanding the Effect of Deep Ensembles in LiDAR-Based Place Recognition.	AI*IA	2023	DBLP DOI BibTeX RDF
10	Shuang Li, Yilun Du, Joshua B. Tenenbaum, Antonio Torralba 0001, Igor Mordatch	Composing Ensembles of Pre-trained Models via Iterative Consensus.	ICLR	2023	DBLP BibTeX RDF
10	Olivier Laurent 0002, Adrien Lafage, Enzo Tartaglione, Geoffrey Daniel, Jean-Marc Martinez, Andrei Bursuc, Gianni Franchi	Packed Ensembles for efficient uncertainty estimation.	ICLR	2023	DBLP BibTeX RDF
10	Abdus Salam Khazi, Sebastian Pineda-Arango, Josif Grabocka	Deep Ranking Ensembles for Hyperparameter Optimization.	ICLR	2023	DBLP BibTeX RDF
10	Seohyeon Jung, Sanghyun Kim, Juho Lee 0001	A Simple Yet Powerful Deep Active Learning With Snapshots Ensembles.	ICLR	2023	DBLP BibTeX RDF
10	Matthew J. Tilley, Michelle Miller 0007, David Freedman	Artificial Neuronal Ensembles with Learned Context Dependent Gating.	ICLR	2023	DBLP BibTeX RDF
10	Steven J. Krieg, William C. Burgis, Patrick M. Soga, Nitesh V. Chawla	Deep Ensembles for Graphs with Higher-order Dependencies.	ICLR	2023	DBLP BibTeX RDF
10	Martin Bjerke, Lukas Schott, Kristopher T. Jensen, Claudia Battistin, David A. Klindt, Benjamin Adric Dunn	Understanding Neural Coding on Latent Manifolds by Sharing Features and Dividing Ensembles.	ICLR	2023	DBLP BibTeX RDF
10	Ryuichi Kanoh, Mahito Sugiyama	Analyzing Tree Architectures in Ensembles via Neural Tangent Kernel.	ICLR	2023	DBLP BibTeX RDF
10	Kong Yao Chee, M. Ani Hsieh, Nikolai Matni	Learning-enhanced Nonlinear Model Predictive Control using Knowledge-based Neural Ordinary Differential Equations and Deep Ensembles.	L4DC	2023	DBLP BibTeX RDF
10	Akib Mashrur, Wei Luo 0001, Nayyar Abbas Zaidi, Antonio Robles-Kelly	Robust quantification of prediction uncertainty by inducing heterogeneity in deep ensembles.	DICTA	2023	DBLP DOI BibTeX RDF
10	Bryan Tuck, Fatima Zahra Qachfar, Dainis Boumber, Rakesh M. Verma	DetectiveRedasers at ArAIEval Shared Task: Leveraging Transformer Ensembles for Arabic Deception Detection.	ArabicNLP	2023	DBLP DOI BibTeX RDF
10	Ajay Kumar Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding 0001, Zhangyang Wang	Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models.	ICML	2023	DBLP BibTeX RDF
10	Charlotte Loh, Seungwook Han, Shivchander Sudalairaj, Rumen Dangovski, Kai Xu, Florian Wenzel, Marin Soljacic, Akash Srivastava	Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries.	ICML	2023	DBLP BibTeX RDF
10	Hassan Dbouk, Naresh R. Shanbhag	On the Robustness of Randomized Ensembles to Adversarial Perturbations.	ICML	2023	DBLP BibTeX RDF
10	Jin-Hong Du, Pratik Patil, Arun K. Kuchibhotla	Subsample Ridge Ensembles: Equivalences and Generalized Cross-Validation.	ICML	2023	DBLP BibTeX RDF
10	Christian Komusiewicz, Pascal Kunz, Frank Sommer, Manuel Sorge	On Computing Optimal Tree Ensembles.	ICML	2023	DBLP BibTeX RDF
10	Nikolaos Dimitriadis, Pascal Frossard, François Fleuret	Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models.	ICML	2023	DBLP BibTeX RDF
10	Aleksandar Petrov, Francisco Eiras, Amartya Sanyal, Philip H. S. Torr, Adel Bibi	Certifying Ensembles: A General Certification Theory with S-Lipschitzness.	ICML	2023	DBLP BibTeX RDF
10	Cuong Tran 0007, Keyu Zhu, Ferdinando Fioretto, Pascal Van Hentenryck	SF-PATE: Scalable, Fair, and Private Aggregation of Teacher Ensembles.	IJCAI	2023	DBLP DOI BibTeX RDF
10	Cuong Tran 0007, Ferdinando Fioretto	On the Fairness Impacts of Private Ensembles Models.	IJCAI	2023	DBLP DOI BibTeX RDF
10	Sean Pierce, Herbert H. Tsang	Enhancing Conducting Gesture Analysis: Integrating Laban Movement Analysis with Tree Ensembles and Neural Networks.	SSCI	2023	DBLP DOI BibTeX RDF
10	Nikolay Krantsevich, Jingyu He, P. Richard Hahn	Stochastic Tree Ensembles for Estimating Heterogeneous Effects.	AISTATS	2023	DBLP BibTeX RDF
10	Brian Liu, Rahul Mazumder	ForestPrune: Compact Depth-Pruned Tree Ensembles.	AISTATS	2023	DBLP BibTeX RDF
10	Rajeev Verma, Daniel Barrejón, Eric T. Nalisnick	Learning to Defer to Multiple Experts: Consistent Surrogate Losses, Confidence Calibration, and Conformal Ensembles.	AISTATS	2023	DBLP BibTeX RDF
10	James Kotary, Vincenzo Di Vito, Ferdinando Fioretto	End-to-End Optimization and Learning for Multiagent Ensembles.	AAMAS	2023	DBLP BibTeX RDF
10	Julius Voggesberger, Peter Reimann 0002, Bernhard Mitschang	Towards the Automatic Creation of Optimized Classifier Ensembles.	ICEIS (1)	2023	DBLP DOI BibTeX RDF
10	Sai Shreyas Bhavanasi, Abby Stylianou	Hotel Recognition Using Object Ensembles.	AIPR	2023	DBLP DOI BibTeX RDF
10	Antoine Defourné	Encodages de la théorie des ensembles de TLA+ pour la preuve automatique. (Encoding TLA+'s Set Theory for Automated Theorem Provers).		2023	RDF
10	Thomas Bossy	Impact-defined climate targets: estimating ensembles of pathways of compatible anthropogenic drivers through inversion of the cause-effect chain. (Objectifs climatiques définis en termes d'impacts: obtention de faisceaux de trajectoires d'activités anthropiques compatibles par inversion de la chaine causale).		2023	RDF
10	Camille Garcin	Loss functions for set-valued classification. (Fonctions de perte pour la classification à valeurs d'ensembles).		2023	RDF
10	Denis Abu Sammour	Spatial Probabilistic Mapping of Biomolecular Ensembles in Tissue via Mass Spectrometry Imaging (PDF / PS)		2023	RDF
10	Oliver Weismantel, Aikaterini A. Galata, Morteza Sadeghi, Achim Kröger, Martin Kröger	Efficient generation of self-avoiding, semiflexible rotational isomeric chain ensembles in bulk, in confined geometries, and on surfaces.	Comput. Phys. Commun.	2022	DBLP DOI BibTeX RDF
10	Vojtech Uher, Pavla Drázdilová, Jan Platos, Petr Badura	Automation of cleaning and ensembles for outliers detection in questionnaire data.	Expert Syst. Appl.	2022	DBLP DOI BibTeX RDF
10	Sampath Deegalla, Keerthi Walgama, Panagiotis Papapetrou, Henrik Boström	Random subspace and random projection nearest neighbor ensembles for high dimensional data.	Expert Syst. Appl.	2022	DBLP DOI BibTeX RDF
10	Fabricio Aparecido Breve	COVID-19 detection on Chest X-ray images: A comparison of CNN architectures and ensembles.	Expert Syst. Appl.	2022	DBLP DOI BibTeX RDF
10	Nico Lässig, Sarah Oppold, Melanie Herschel	Metrics and Algorithms for Locally Fair and Accurate Classifications using Ensembles.	Datenbank-Spektrum	2022	DBLP DOI BibTeX RDF
10	Aleksei Tiulpin, Matthew B. Blaschko	Greedy Bayesian Posterior Approximation with Deep Ensembles.	Trans. Mach. Learn. Res.	2022	DBLP BibTeX RDF
10	James Urquhart Allingham, Florian Wenzel, Zelda E. Mariet, Basil Mustafa, Joan Puigcerver, Neil Houlsby, Ghassen Jerfel, Vincent Fortuin, Balaji Lakshminarayanan, Jasper Snoek, Dustin Tran, Carlos Riquelme Ruiz, Rodolphe Jenatton	Sparse MoEs meet Efficient Ensembles.	Trans. Mach. Learn. Res.	2022	DBLP BibTeX RDF
10	Neha Gupta, Jamie Smith, Ben Adlam, Zelda E. Mariet	Ensembles of Classifiers: a Bias-Variance Perspective.	Trans. Mach. Learn. Res.	2022	DBLP BibTeX RDF
10	Ming Yin 0005, Kuiyu Zhu, Hongli Xiao, Dan Zhu, Jijiao Jiang	Deep neural network ensembles for detecting self-admitted technical debt.	J. Intell. Fuzzy Syst.	2022	DBLP DOI BibTeX RDF
10	Carina Ivascu, Richard M. Everson, Jonathan E. Fieldsend	Optimising Diversity in Classifier Ensembles.	SN Comput. Sci.	2022	DBLP DOI BibTeX RDF
10	Hyunjin Ahn	Uniform stability of the Cucker-Smale and thermodynamic Cucker-Smale ensembles with singular kernels.	Networks Heterog. Media	2022	DBLP DOI BibTeX RDF
10	Christoffer Löffler, Christopher Mutschler	IALE: Imitating Active Learner Ensembles.	J. Mach. Learn. Res.	2022	DBLP BibTeX RDF
10	Bento Collares Gonçalves, Michael Wethington, Heather J. Lynch	SealNet 2.0: Human-Level Fully-Automated Pack-Ice Seal Detection in Very-High-Resolution Satellite Imagery with CNN Model Ensembles.	Remote. Sens.	2022	DBLP DOI BibTeX RDF
10	Megan Winsen, Simon Denman, Evangeline Corcoran, Grant Hamilton	Automated Detection of Koalas with Deep Learning Ensembles.	Remote. Sens.	2022	DBLP DOI BibTeX RDF
10	Xiaodian Zhang, Kun Gao, Junwei Wang, Zibo Hu, Hong Wang 0025, Pengyu Wang	Siamese Network Ensembles for Hyperspectral Target Detection with Pseudo Data Generation.	Remote. Sens.	2022	DBLP DOI BibTeX RDF
10	Juan Isidro González Hidalgo, Silas G. T. C. Santos, Roberto S. M. Barros	Dynamically Adjusting Diversity in Ensembles for the Classification of Data Streams with Concept Drift.	ACM Trans. Knowl. Discov. Data	2022	DBLP DOI BibTeX RDF
10	Xiaohui Wan, Zheng Zheng 0001, Yang Liu 0287	SPE$^{2}$: Self-Paced Ensemble of Ensembles for Software Defect Prediction.	IEEE Trans. Reliab.	2022	DBLP DOI BibTeX RDF
10	Shengnan Zhao, Qi Zhao, Chuan Zhao, Han Jiang 0001, Qiuliang Xu	Privacy-enhancing machine learning framework with private aggregation of teacher ensembles.	Int. J. Intell. Syst.	2022	DBLP DOI BibTeX RDF