Search results for "ensembles"

Hits ?▲	Authors	Title	Venue	Year	Link
10	Juan Viguera Diez, Sara Romeo Atance, Ola Engkvist, Simon Olsson	Generation of conformational ensembles of small molecules via surrogate model-assisted molecular dynamics.	Mach. Learn. Sci. Technol.	2024	DBLP DOI BibTeX RDF
10	SeokHee Kim, Changhee Hahn	Detecting Backdoors Embedded in Ensembles.	ICEIC	2024	DBLP DOI BibTeX RDF
10	Amrita Ganguly, Al Nahian Bin Emran, Sadiya Sayara Chowdhury Puspo, Md. Nishat Raihan, Dhiman Goswami, Marcos Zampieri	MasonPerplexity at Multimodal Hate Speech Event Detection 2024: Hate Speech and Target Detection Using Transformer Ensembles.	CASE	2024	DBLP BibTeX RDF
10	Aidin Shiri, Kaushik Roy 0009, Amit P. Sheth, Manas Gaur	L3 Ensembles: Lifelong Learning Approach for Ensemble of Foundational Language Models✱.	COMAD/CODS	2024	DBLP DOI BibTeX RDF
10	Laurens Devos, Lorenzo Cascioli, Jesse Davis	Robustness Verification of Multi-Class Tree Ensembles.	AAAI	2024	DBLP DOI BibTeX RDF
10	Uri Stern, Daniel Shwartz, Daphna Weinshall	United We Stand: Using Epoch-Wise Agreement of Ensembles to Combat Overfit.	AAAI	2024	DBLP DOI BibTeX RDF
10	Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier	Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles.	AAAI	2024	DBLP DOI BibTeX RDF
10	Vincent Pisztora, Jia Li 0001	Learning Performance Maximizing Ensembles with Explainability Guarantees.	AAAI	2024	DBLP DOI BibTeX RDF
10	Axel Karlsson, Tianze Wang, Slawomir Nowaczyk, Sepideh Pashami, Sahar Asadi	Mind the Data, Measuring the Performance Gap Between Tree Ensembles and Deep Learning on Tabular Data.	IDA (1)	2024	DBLP DOI BibTeX RDF
10	Mai Dahshan, Nicholas F. Polys, Leanna House, Karim Youssef, Ryan M. Pollyea	Human-Machine Collaboration for the Visual Exploration and Analysis of High-Dimensional Spatial Simulation Ensembles.	VISIGRAPP (1): GRAPP, HUCAPP, IVAPP	2024	DBLP DOI BibTeX RDF
10	Alon Shoshan, Ori Linial, Nadav Bhonker, Elad Hirsch, Lior Zamir, Igor Kviatkovsky, Gérard G. Medioni	Asymmetric Image Retrieval with Cross Model Compatible Ensembles.	WACV	2024	DBLP DOI BibTeX RDF
10	Vladan Stojnic, Zakaria Laskar, Giorgos Tolias	Training Ensembles with Inliers and Outliers for Semi-supervised Active Learning.	WACV	2024	DBLP DOI BibTeX RDF
10	Ashish Hooda, Neal Mangaokar, Ryan Feng, Kassem Fawaz, Somesh Jha, Atul Prakash 0001	D4: Detection of Adversarial Diffusion Deepfakes Using Disjoint Ensembles.	WACV	2024	DBLP DOI BibTeX RDF
10	Simon Klüttermann, Chiara Balestra, Emmanuel Müller	On the Efficient Explanation of Outlier Detection Ensembles Through Shapley Values.	PAKDD (3)	2024	DBLP DOI BibTeX RDF
10	Fan Yang, Pierre Le Bodic, Michael Kamp, Mario Boley	Orthogonal Gradient Boosting for Simpler Additive Rule Ensembles.	AISTATS	2024	DBLP BibTeX RDF
10	Pascal R. van der Vaart, Neil Yorke-Smith, Matthijs T. J. Spaan	Bayesian Ensembles for Exploration in Deep Q-Learning.	AAMAS	2024	DBLP BibTeX RDF
10	Kai Zhao, Jianye Hao, Yi Ma, Jinyi Liu 0001, Yan Zheng, Zhaopeng Meng	ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles.	AAMAS	2024	DBLP BibTeX RDF
10	Roman A. Chertovskih, Nikolay Pogodaev, Maxim V. Staritsyn, A. Pedro Aguiar	Optimal Control of Distributed Ensembles With Application to Bloch Equations.	IEEE Control. Syst. Lett.	2023	DBLP DOI BibTeX RDF
10	Nguyen Tan Viet, Nguyen Thi Chuong, Vu Thi Ngoc Huyen, Le Bin Ho	tqix.pis: A toolbox for quantum dynamics simulation of spin ensembles in Dicke basis.	Comput. Phys. Commun.	2023	DBLP DOI BibTeX RDF
10	Gianluigi Folino, Massimo Guarascio 0001, Francesco Chiaravalloti	Learning ensembles of deep neural networks for extreme rainfall event detection.	Neural Comput. Appl.	2023	DBLP DOI BibTeX RDF
10	Andrei V. Konstantinov, Lev V. Utkin	Interpretable ensembles of hyper-rectangles as base models.	Neural Comput. Appl.	2023	DBLP DOI BibTeX RDF
10	Shreyas Kolte, Neelanjan Bhowmik, Dhiraj	Threat Object-based anomaly detection in X-ray images using GAN-based ensembles.	Neural Comput. Appl.	2023	DBLP DOI BibTeX RDF
10	Omneya Attallah	CerCan·Net: Cervical cancer classification model via multi-layer feature ensembles of lightweight CNNs and transfer learning.	Expert Syst. Appl.	2023	DBLP DOI BibTeX RDF
10	Vikranth Dwaracherla, Zheng Wen 0002, Ian Osband, Xiuyuan Lu, Seyed Mohammad Asghari, Benjamin Van Roy	Ensembles for Uncertainty Estimation: Benefits of Prior Functions and Bootstrapping.	Trans. Mach. Learn. Res.	2023	DBLP BibTeX RDF
10	Sudeep D. Thepade, Sandeep Chauhan	Enhancing Land Use Identification Through Fusion of Densenet121 DCNN and Thepade SBTC Features Using Machine Learning Algorithms and Ensembles.	SN Comput. Sci.	2023	DBLP DOI BibTeX RDF
10	Donato Amitrano, Giovanni Luca Giacco, Stefano Marrone 0002, Antonio Elia Pascarella, Mattia Rigiroli, Carlo Sansone	Forest Aboveground Biomass Estimation Using Machine Learning Ensembles: Active Learning Strategies for Model Transfer and Field Sampling Reduction.	Remote. Sens.	2023	DBLP DOI BibTeX RDF
10	Jingyun Gui, Leandro Rafael Alejano, Miao Yao, Fasuo Zhao, Wei Chen	GIS-Based Landslide Susceptibility Modeling: A Comparison between Best-First Decision Tree and Its Two Ensembles (BagBFT and RFBFT).	Remote. Sens.	2023	DBLP DOI BibTeX RDF
10	Zihao Lu, Hao Sun, Kefeng Ji, Gangyao Kuang	Adversarial Robust Aerial Image Recognition Based on Reactive-Proactive Defense Framework with Deep Ensembles.	Remote. Sens.	2023	DBLP DOI BibTeX RDF
10	Tu Mai Anh Do, Loïc Pottier, Rafael Ferreira da Silva, Silvina Caíno-Lores, Michela Taufer, Ewa Deelman	Performance assessment of ensembles of in situ workflows under resource constraints.	Concurr. Comput. Pract. Exp.	2023	DBLP DOI BibTeX RDF
10	Aliya Aleryani, Aaron Bostrom, Wenjia Wang, Beatriz de la Iglesia	Multiple Imputation Ensembles for Time Series (MIE-TS).	ACM Trans. Knowl. Discov. Data	2023	DBLP DOI BibTeX RDF
10	Henrique O. Marques, Lorne Swersky, Jörg Sander 0001, Ricardo J. G. B. Campello, Arthur Zimek	On the evaluation of outlier detection and one-class classification: a comparative study of algorithms, model selection, and ensembles.	Data Min. Knowl. Discov.	2023	DBLP DOI BibTeX RDF
10	Akanksha Mukhriya, Rajeev Kumar 0004	Combination fairness with scores in outlier detection ensembles.	Inf. Sci.	2023	DBLP DOI BibTeX RDF
10	Lara Mauri, Bruno Apolloni, Ernesto Damiani	Robust ML model ensembles via risk-driven anti-clustering of training data.	Inf. Sci.	2023	DBLP DOI BibTeX RDF
10	Francisco Javier Gil Gala, Marko Durasevic, Ramiro Varela, Domagoj Jakobovic	Ensembles of priority rules to solve one machine scheduling problem in real-time.	Inf. Sci.	2023	DBLP DOI BibTeX RDF
10	Aitor Gutiérrez-López, Francisco Javier González-Serrano, Aníbal R. Figueiras-Vidal	Optimum Bayesian thresholds for rebalanced classification problems using class-switching ensembles.	Pattern Recognit.	2023	DBLP DOI BibTeX RDF
10	Ashis Kumar Mandal, Rikta Sen, Basabi Chakraborty	Quantum-Inspired Owl Search Algorithm with Ensembles of Filter Methods for Gene Subset Selection from Microarray Data.	Int. J. Pattern Recognit. Artif. Intell.	2023	DBLP DOI BibTeX RDF
10	Lena Schmid, Alexander Gerharz, Andreas Groll, Markus Pauly	Tree-based ensembles for multi-output regression: Comparing multivariate approaches with separate univariate ones.	Comput. Stat. Data Anal.	2023	DBLP DOI BibTeX RDF
10	Serafín Moral-García, Joaquín Abellán	Improving the Results in Credit Scoring by Increasing Diversity in Ensembles of Classifiers.	IEEE Access	2023	DBLP DOI BibTeX RDF
10	Besher Alhalabi, Shadi Basurra, Mohamed Medhat Gaber	FedNets: Federated Learning on Edge Devices Using Ensembles of Pruned Deep Neural Networks.	IEEE Access	2023	DBLP DOI BibTeX RDF
10	Rasha Ramadan Z. Koko, Inas A. Yassine, Manal Abdel Wahed, June K. Madete, Muhammad Ali Rushdi 0001	Dynamic Construction of Outlier Detector Ensembles With Bisecting K-Means Clustering.	IEEE Access	2023	DBLP DOI BibTeX RDF
10	René Fabricius, Ondrej Such, Peter Tarábek	Deep Neural Network Ensembles Using Class-vs-Class Weighting.	IEEE Access	2023	DBLP DOI BibTeX RDF
10	Abdul Muiz Fayyaz, Mudassar Raza, Muhammad Sharif 0001, Jamal Hussain Shah, Seifedine Nimer Kadry, Oscar Sanjuán Martínez	An Integrated Framework for COVID-19 Classification Based on Ensembles of Deep Features and Entropy Coded GLEO Feature Selection.	Int. J. Uncertain. Fuzziness Knowl. Based Syst.	2023	DBLP DOI BibTeX RDF
10	Ahmed Alsayat, Hossein Ahmadi	A Hybrid Method Using Ensembles of Neural Network and Text Mining for Learner Satisfaction Analysis from Big Datasets in Online Learning Platform.	Neural Process. Lett.	2023	DBLP DOI BibTeX RDF
10	Aqsa Saeed Qureshi, Teemu Roos	Transfer Learning with Ensembles of Deep Neural Networks for Skin Cancer Detection in Imbalanced Data Sets.	Neural Process. Lett.	2023	DBLP DOI BibTeX RDF
10	Bharat Singhal, István Z. Kiss, Jr-Shin Li	Optimal Phase-Selective Entrainment of Heterogeneous Oscillator Ensembles.	SIAM J. Appl. Dyn. Syst.	2023	DBLP DOI BibTeX RDF
10	Misaj Sharafudeen, S. S. Vinodchandra	Detecting skin lesions fusing handcrafted features in image network ensembles.	Multim. Tools Appl.	2023	DBLP DOI BibTeX RDF
10	Abdul Mueed Hafiz, Rouf Ul Alam Bhat, Mahmoud Hassaballah	Image classification using convolutional neural network tree ensembles.	Multim. Tools Appl.	2023	DBLP DOI BibTeX RDF
10	Marcelo Rodrigues de Holanda Maia, Alexandre Plastino 0001, Alex Alves Freitas, João Pedro de Magalhães	Interpretable Ensembles of Classifiers for Uncertain Data With Bioinformatics Applications.	IEEE ACM Trans. Comput. Biol. Bioinform.	2023	DBLP DOI BibTeX RDF
10	Yang Bai, Lixing Chen, Jie Xu 0001	NeuE: Automated Neural Network Ensembles for Edge Intelligence.	IEEE Trans. Emerg. Top. Comput.	2023	DBLP DOI BibTeX RDF
10	Yongbo Huang, Yuanpei Jin, Liqiang Zhang, Yishu Liu	Remote Sensing Object Counting Through Regression Ensembles and Learning to Rank.	IEEE Trans. Geosci. Remote. Sens.	2023	DBLP DOI BibTeX RDF
10	Sung-Soo Byun, Meng Yang	Determinantal Coulomb Gas Ensembles with a Class of Discrete Rotational Symmetric Potentials.	SIAM J. Math. Anal.	2023	DBLP DOI BibTeX RDF
10	Alexander P. Kuznetsov, Yuliya V. Sedova, Nataliya V. Stankevich	Discrete Rössler Oscillators: Maps and Their Ensembles.	Int. J. Bifurc. Chaos	2023	DBLP DOI BibTeX RDF
10	Valentina Sora, Matteo Tiberti, Ludovica Beltrame, Deniz Dogan, Shahriyar Mahdi Robbani, Joshua Rubin, Elena Papaleo	PyInteraph2 and PyInKnife2 to Analyze Networks in Protein Structural Ensembles.	J. Chem. Inf. Model.	2023	DBLP DOI BibTeX RDF
10	Francini Fonseca Lopez, Jiayuan Miao, Jovan Damjanovic, Luca Bischof, Michael B. Braun, Yingjie Ling, Marcus D. Hartmann, Yu-Shan Lin, Joshua A. Kritzer	Computational Prediction of Cyclic Peptide Structural Ensembles and Application to the Design of Keap1 Binders.	J. Chem. Inf. Model.	2023	DBLP DOI BibTeX RDF
10	Francesca Peccati, Sara Alunno-Rufini, Gonzalo Jiménez-Osés	Accurate Prediction of Enzyme Thermostabilization with Rosetta Using AlphaFold Ensembles.	J. Chem. Inf. Model.	2023	DBLP DOI BibTeX RDF
10	Raphael V. R. Dias, Renan P. Pedro, Murilo Nogueira Sanches, Giovana C. Moreira, Vitor B. P. Leite, Icaro P. Caruso, Fernando A. de Melo, Leandro C. Oliveira	Unveiling Metastable Ensembles of GRB2 and the Relevance of Interdomain Communication during Folding.	J. Chem. Inf. Model.	2023	DBLP DOI BibTeX RDF
10	Adekunle Aina, Shawn C. C. Hsueh, Steven S. Plotkin	PROTHON: A Local Order Parameter-Based Method for Efficient Comparison of Protein Ensembles.	J. Chem. Inf. Model.	2023	DBLP DOI BibTeX RDF
10	Rafael Giordano Viegas, Murilo Nogueira Sanches, Alan A. Chen, Fernando V. Paulovich, Angel E. García, Vitor B. P. Leite	Characterizing the Folding Transition-State Ensembles in the Energy Landscape of an RNA Tetraloop.	J. Chem. Inf. Model.	2023	DBLP DOI BibTeX RDF
10	Fengyang Han, Dongxiao Hao, Xibing He, Luxuan Wang, Taoyu Niu, Junmei Wang	Distribution of Bound Conformations in Conformational Ensembles for X-ray Ligands Predicted by the ANI-2X Machine Learning Potential.	J. Chem. Inf. Model.	2023	DBLP DOI BibTeX RDF
10	Marko Djurasevic, Francisco Javier Gil Gala, Domagoj Jakobovic	Constructing ensembles of dispatching rules for multi-objective tasks in the unrelated machines environment.	Integr. Comput. Aided Eng.	2023	DBLP DOI BibTeX RDF
10	Vyacheslav Kungurtsev, Jakub Marecek, Ramen Ghosh, Robert Shorten	On the ergodic control of ensembles in the presence of non-linear filters.	Autom.	2023	DBLP DOI BibTeX RDF
10	Nayma Cepero-Pérez, Mailyn Moreno-Espino, Eduardo F. Morales 0001, Milton García-Borroto	Progressive Forest: An Early Stopping Criteria For Building Ensembles.	Computación y Sistemas (CyS)	2023	DBLP BibTeX RDF
10	Loris Nanni, Alessandra Lumini, Carlo Fantozzi	Exploring the Potential of Ensembles of Deep Learning Networks for Image Segmentation.	Inf.	2023	DBLP DOI BibTeX RDF
10	Dimitri Volchenkov	Navigability, Walkability, and Perspicacity Associated with Canonical Ensembles of Walks in Finite Connected Undirected Graphs - Toward Information Graph Theory.	Inf.	2023	DBLP DOI BibTeX RDF
10	Guido Bologna	Transferring CNN Features Maps to Ensembles of Explainable Neural Networks.	Inf.	2023	DBLP DOI BibTeX RDF
10	Guilherme Weigert Cassales, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer, Hermes Senger	Balancing Performance and Energy Consumption of Bagging Ensembles for the Classification of Data Streams in Edge Computing.	IEEE Trans. Netw. Serv. Manag.	2023	DBLP DOI BibTeX RDF
10	Anja Conev, Maurício Menegatti Rigo, Didier Devaurs, André Faustino Fonseca, Hussain Kalavadwala, Martiela Vaz de Freitas, Cecilia Clementi, Geancarlo Zanatta, Dinler Amaral Antunes, Lydia E. Kavraki	EnGens: a computational framework for generation and analysis of representative protein conformational ensembles.	Briefings Bioinform.	2023	DBLP DOI BibTeX RDF
10	Oghenejokpeme I. Orhobor, Nastasiya F. Grinberg, Larisa N. Soldatova, Ross D. King	Imbalanced regression using regressor-classifier ensembles.	Mach. Learn.	2023	DBLP DOI BibTeX RDF
10	César Peláez-Rodríguez, Jorge Pérez-Aracil, A. de Lopez-Diz, Carlos Casanova-Mateo, Dusan Fister, Silvia Jiménez-Fernández, Sancho Salcedo-Sanz	Deep learning ensembles for accurate fog-related low-visibility events forecasting.	Neurocomputing	2023	DBLP DOI BibTeX RDF
10	Ellák Somfai, Benjámin Baffy, Kristian Fenech, Rita Hosszú, Dorina Korózs, Marcell Pólik, Miklós Sárdy, András Lorincz	Handling dataset dependence with model ensembles for skin lesion classification from dermoscopic and clinical images.	Int. J. Imaging Syst. Technol.	2023	DBLP DOI BibTeX RDF
10	Tarik El Lel, Mominul Ahsan, Julfikar Haider	Detecting COVID-19 from Chest X-rays Using Convolutional Neural Network Ensembles.	Comput.	2023	DBLP DOI BibTeX RDF
10	Gemma Massonis, Alejandro F. Villaverde, Julio R. Banga	Improving dynamic predictions with ensembles of observable models.	Bioinform.	2023	DBLP DOI BibTeX RDF
10	Alessio Del Conte, Alexander Miguel Monzon, Damiano Clementel, Giorgia F. Camagni, Giovanni Minervini, Silvio C. E. Tosatto, Damiano Piovesan	RING-PyMOL: residue interaction networks of structural ensembles and molecular dynamics.	Bioinform.	2023	DBLP DOI BibTeX RDF
10	René Staritzbichler, Nikola Ristic, Tülin Stapke, Peter W. Hildebrand	SmoothT - a server constructing low-energy pathways from conformational ensembles for interactive visualization and enhanced sampling.	Bioinform.	2023	DBLP DOI BibTeX RDF
10	Emna Ben Yacoub	Trapping and Absorbing Set Enumerators for Irregular Generalized Low-Density Parity-Check Code Ensembles.	IEEE Trans. Inf. Theory	2023	DBLP DOI BibTeX RDF
10	Suraj P. Kesavan, Harsh Bhatia, Abhinav Bhatele, Stephanie Brink, Olga Pearce, Todd Gamblin, Peer-Timo Bremer, Kwan-Liu Ma	Scalable Comparative Visualization of Ensembles of Call Graphs.	IEEE Trans. Vis. Comput. Graph.	2023	DBLP DOI BibTeX RDF
10	Dong Huang 0001, Chang-Dong Wang, Jian-Huang Lai	Fast Multi-View Clustering Via Ensembles: Towards Scalability, Superiority, and Simplicity.	IEEE Trans. Knowl. Data Eng.	2023	DBLP DOI BibTeX RDF
10	Zhihe Lu, Jiawang Bai, Xin Li 0082, Zeyu Xiao, Xinchao Wang	Beyond Sole Strength: Customized Ensembles for Generalized Vision-Language Models.	CoRR	2023	DBLP DOI BibTeX RDF
10	Sathvik Kolli	Conflict-Averse Gradient Optimization of Ensembles for Effective Offline Model-Based Optimization.	CoRR	2023	DBLP DOI BibTeX RDF
10	Andrei V. Konstantinov, Lev V. Utkin	Multiple Instance Learning with Trainable Decision Tree Ensembles.	CoRR	2023	DBLP DOI BibTeX RDF
10	William Poole, Thomas E. Ouldridge, Manoj Gopalkrishnan	Autonomous Learning of Generative Models with Chemical Reaction Network Ensembles.	CoRR	2023	DBLP DOI BibTeX RDF
10	Aagam Bakliwal, Amit D. Joshi	Deepfake Detection: Leveraging the Power of 2D and 3D CNN Ensembles.	CoRR	2023	DBLP DOI BibTeX RDF
10	Don Kurian Dennis, Abhishek Shetty, Anish Sevekari, Kazuhito Koishida, Virginia Smith	Progressive Knowledge Distillation: Building Ensembles for Efficient Inference.	CoRR	2023	DBLP DOI BibTeX RDF
10	Francesco Daghero, Alessio Burrello, Enrico Macii, Paolo Montuschi, Massimo Poncino, Daniele Jahier Pagliari	Dynamic Decision Tree Ensembles for Energy-Efficient Inference on IoT Edge Nodes.	CoRR	2023	DBLP DOI BibTeX RDF
10	Abdel Gafoor Haddad, Mohammed B. Mohiuddin, Igor Boiko, Yahya H. Zweiri	Fuzzy Ensembles of Reinforcement Learning Policies for Robotic Systems with Varied Parameters.	CoRR	2023	DBLP DOI BibTeX RDF
10	Sascha Marton, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt	GRANDE: Gradient-Based Decision Tree Ensembles.	CoRR	2023	DBLP DOI BibTeX RDF
10	Lucas Berry, David Meger	Normalizing Flow Ensembles for Rich Aleatoric and Epistemic Uncertainty Modeling.	CoRR	2023	DBLP DOI BibTeX RDF
10	Tanmay Chavan, Kshitij Deshpande, Sheetal Sonawane	Empathy and Distress Detection using Ensembles of Transformer Models.	CoRR	2023	DBLP DOI BibTeX RDF
10	Aleksandar Petrov, Francisco Eiras, Amartya Sanyal, Philip H. S. Torr, Adel Bibi	Certifying Ensembles: A General Certification Theory with S-Lipschitzness.	CoRR	2023	DBLP DOI BibTeX RDF
10	Vangelis Kostoulas, Peter A. N. Bosman, Tanja Alderliesten	Convolutions, Transformers, and their Ensembles for the Segmentation of Organs at Risk in Radiation Treatment of Cervical Cancer.	CoRR	2023	DBLP DOI BibTeX RDF
10	Daniel Schroter, Daryna Dementieva, Georg Groh	Adam-Smith at SemEval-2023 Task 4: Discovering Human Values in Arguments with Ensembles of Transformer-based Models.	CoRR	2023	DBLP DOI BibTeX RDF
10	Hyemi Kim, Jiyun Park, Taegyun Kwon, Dasaem Jeong, Juhan Nam	A study of audio mixing methods for piano transcription in violin-piano ensembles.	CoRR	2023	DBLP DOI BibTeX RDF
10	Ying Liu, Peng Cui, Wenbo Hu 0001, Richang Hong	Deep Ensembles Meets Quantile Regression: Uncertainty-aware Imputation for Time Series.	CoRR	2023	DBLP DOI BibTeX RDF
10	Chengbin Hou, Xinyu Lin, Hanhui Huang, Sheng Xu, Junxuan Fan, Yukun Shi, Hairong Lv	Fossil Image Identification using Deep Learning Ensembles of Data Augmented Multiviews.	CoRR	2023	DBLP DOI BibTeX RDF
10	Pierre-Alexandre Mattei, Damien Garreau	Are ensembles getting better all the time?	CoRR	2023	DBLP DOI BibTeX RDF
10	Uri Stern, Daphna Weinshall	Relearning Forgotten Knowledge: on Forgetting, Overfit and Training-Free Ensembles of DNNs.	CoRR	2023	DBLP DOI BibTeX RDF
10	Hassan Dbouk, Naresh R. Shanbhag	On the Robustness of Randomized Ensembles to Adversarial Perturbations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Guoxuan Xia, Christos-Savvas Bouganis	Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single Models.	CoRR	2023	DBLP DOI BibTeX RDF
10	Miriam Jäger, Steven Landgraf, Boris Jutzi	Density Uncertainty Quantification with NeRF-Ensembles: Impact of Data and Scene Constraints.	CoRR	2023	DBLP DOI BibTeX RDF
10	Steven Landgraf, Kira Wursthorn, Markus Hillemann, Markus Ulrich	DUDES: Deep Uncertainty Distillation using Ensembles for Semantic Segmentation.	CoRR	2023	DBLP DOI BibTeX RDF