Diego Klabjan

ORCID

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 161

Top Venues

Publications

Yintai Ma, Diego Klabjan
Diminishing Batch Normalization. IEEE Trans. Neural Networks Learn. Syst. 35 (5) (2024)
Mengfan Xu, Diego Klabjan
Decentralized Blockchain-based Robust Multi-agent Multi-armed Bandit. CoRR (2024)
Tom Overman, Garrett Blum, Diego Klabjan
A Primal-Dual Algorithm for Hybrid Federated Learning. AAAI (2024)
Jaeyeon Jang, Diego Klabjan, Veena Mendiratta, Fanfei Meng
Hybrid FedGraph: An efficient hybrid federated learning algorithm using graph convolutional neural network. CoRR (2024)
Garrett Blum, Ryan Doris, Diego Klabjan, Horacio Espinosa, Ron Szalkowski
Use of Deep Neural Networks for Uncertain Stress Functions with Extensions to Impact Mechanics. CoRR (2023)
Ye Xue, Diego Klabjan, Jean Utke
S-Omninet: Structured Data Enhanced Universal Multimodal Learning Architecture. CoRR (2023)
Taejong Joo, Diego Klabjan
IW-GAE: Importance weighted group accuracy estimation for improved calibration and model selection in unsupervised domain adaptation. CoRR (2023)
Mengfan Xu, Diego Klabjan
Pareto Regret Analyses in Multi-objective Multi-armed Bandit. ICML (2023)
Alexander Cao, Diego Klabjan, Yuan Luo
Open-set recognition of breast cancer treatments. Artif. Intell. Medicine 135 (2023)
Alexander Cao, Jean Utke, Diego Klabjan
Early Classifying Multimodal Sequences. ICMI (2023)
Andrea Treviño Gavito, Diego Klabjan, Jean Utke
Multi-Layer Attention-Based Explainability via Transformers for Tabular Data. CoRR (2023)
Abdolghani Ebrahimi, Diego Klabjan
Neuron-based Pruning of Deep Neural Networks with Better Generalization using Kronecker Factored Curvature Approximation. IJCNN (2023)
Andrea Treviño Gavito, Diego Klabjan, Jean Utke
Gradient-Boosted Based Structured and Unstructured Learning. CoRR (2023)
Siqiao Mu, Diego Klabjan
Preliminary Analysis on Second-Order Convergence for Biased Policy Gradient Methods. CoRR (2023)
Jaehoon Koo, Diego Klabjan, Jean Utke
An inverse classification framework with limited budget and maximum number of perturbed samples. Expert Syst. Appl. 212 (2023)
Shuyang Wang, Diego Klabjan
An Ensemble Method of Deep Reinforcement Learning for Automated Cryptocurrency Trading. CoRR (2023)
Hanqing Li, Diego Klabjan, Jean Utke
Unsupervised Video Summarization. CoRR (2023)
Yintai Ma, Diego Klabjan
Semi-supervised 3D Video Information Retrieval with Deep Neural Network and Bi-directional Dynamic-time Warping Algorithm. BigData (2023)
Qiang Gao, Zhipeng Luo, Diego Klabjan, Fengli Zhang
Efficient Architecture Search for Continual Learning. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Jaeyeon Jang, Diego Klabjan, Han Liu, Nital S. Patel, Xiuqi Li, Balakrishnan Ananthanarayanan, Husam Dauod, Tzung-Han Juang
Learning Multiple Coordinated Agents under Directed Acyclic Graph Constraints. CoRR (2023)
Mengfan Xu, Diego Klabjan
Decentralized Randomly Distributed Multi-agent Multi-armed Bandit with Heterogeneous Rewards. NeurIPS (2023)
Alexander Cao, Jean Utke, Diego Klabjan
Early Classifying Multimodal Sequences. CoRR (2023)
Mengfan Xu, Diego Klabjan
Regret Lower Bounds in Multi-agent Multi-armed Bandit. CoRR (2023)
Stephanie Ger, Yegna Subramanian Jambunath, Diego Klabjan, Jean Utke
Cohesive Attention-Based Explanations for Sequences and Explainability in Presence of Event Types. BigData (2023)
Alexander Cao, Jean Utke, Diego Klabjan
A Policy for Early Sequence Classification. CoRR (2023)
Huiyu Wu, Diego Klabjan
Robust softmax aggregation on blockchain based federated learning with convergence guarantee. CoRR (2023)
Stephanie Ger, Yegna Subramanian Jambunath, Diego Klabjan
Autoencoders and Generative Adversarial Networks for Imbalanced Sequence Classification. BigData (2023)
Yintai Ma, Diego Klabjan
Semi-supervised 3D Video Information Retrieval with Deep Neural Network and Bi-directional Dynamic-time Warping Algorithm. CoRR (2023)
Sungsoo Lim, Diego Klabjan, Mark Shapiro
Feature Acquisition Using Monte Carlo Tree Search. BigData (2023)
Mengfan Xu, Diego Klabjan
Decentralized Randomly Distributed Multi-agent Multi-armed Bandit with Heterogeneous Rewards. CoRR (2023)
Abdolghani Ebrahimi, Alexander Stec, Diego Klabjan, Jean Utke
Nested Multi-view Image Classification. ICPR (2022)
Ruiqi Wang, Diego Klabjan
Divergence Results and Convergence of a Variance Reduced Version of ADAM. CoRR (2022)
Cheng Hao Ke, Haozhang Deng, Congda Xu, Jiong Li, Xingyun Gu, Borchuluun Yadamsuren, Diego Klabjan, Rafet Sifa, Anders Drachen, Simon Demediuk
DOTA 2 match prediction through deep learning team fight models. CoG (2022)
Tom Overman, Garrett Blum, Diego Klabjan
A Primal-Dual Algorithm for Hybrid Federated Learning. CoRR (2022)
Papis Wongchaisuwat, Diego Klabjan
Truth validation with evidence. Knowl. Inf. Syst. 64 (5) (2022)
Xin Qian, Rafet Sifa, Xuefei Liu, Shreyashi Ganguly, Borchuluun Yadamsuren, Diego Klabjan, Anders Drachen, Simon Demediuk
Anomaly Detection in Player Performances in Multiplayer Online Battle Arena Games. ACSW (2022)
Yiming Xu, Diego Klabjan
Open Set Domain Adaptation by Extreme Value Theory. Big Data (2022)
Alexander Cao, Diego Klabjan, Yuan Luo
Open-Set Recognition of Breast Cancer Treatments. CoRR (2022)
Biyi Fang, Kripa Rajshekhar, Diego Klabjan
Topic Analysis for Text with Side Data. CoRR (2022)
Biyi Fang, Jean Utke, Diego Klabjan
Tricks and Plugins to GBM on Images and Sequences. CoRR (2022)
Mengfan Xu, Diego Klabjan
Pareto Regret Analyses in Multi-objective Multi-armed Bandit. CoRR (2022)
Sungsoo Lim, Diego Klabjan, Mark Shapiro
Feature Acquisition using Monte Carlo Tree Search. CoRR (2022)
Ye Xue, Diego Klabjan, Yuan Luo
Aggregation Delayed Federated Learning. Big Data (2022)
Ning Wang, Han Liu, Diego Klabjan
Large-Scale Multi-Document Summarization with Information Extraction and Compression. CoRR (2022)
Xin Qian, Matthew Kennedy, Diego Klabjan
Dynamic Cell Structure via Recursive-Recurrent Neural Networks. Big Data (2022)
Alexander Cao, Yuan Luo, Diego Klabjan
Open-Set Recognition with Gaussian Mixture Variational Autoencoders. AAAI (2021)
Xin Qian, Diego Klabjan
A Probabilistic Approach to Neural Network Pruning. CoRR (2021)
Abdolghani Ebrahimi, Diego Klabjan, Baiyang Wang
Generative Adversarial Nets for Multiple Text Corpora. IJCNN (2021)
Jie Yang, Diego Klabjan
Bayesian Active Learning for Choice Models With Deep Gaussian Processes. IEEE Trans. Intell. Transp. Syst. 22 (2) (2021)
Lida Zhang, Abdolghani Ebrahimi, Diego Klabjan
Layer Flexible Adaptive Computation Time. IJCNN (2021)
Ye Xue, Diego Klabjan, Yuan Luo
Aggregation Delayed Federated Learning. CoRR (2021)
Adam Sandler, Diego Klabjan, Yuan Luo
Non-Convex Optimization with Spectral Radius Regularization. CoRR (2021)
Rafet Sifa, Anders Drachen, Florian Block, Spencer Moon, Anisha Dubhashi, Hao Xiao, Zili Li, Diego Klabjan, Simon Demediuk
Archetypal Analysis Based Anomaly Detection for Improved Storytelling in Multiplayer Online Battle Arena Games. ACSW (2021)
Stephanie Ger, Diego Klabjan, Jean Utke
Classification Models for Partially Ordered Sequences. CoRR (2021)
Yiming Xu, Diego Klabjan
k-Nearest Neighbors by Means of Sequence to Sequence Deep Neural Networks and Memory Networks. IJCAI (2021)
Yiming Xu, Diego Klabjan
Open Set Domain Adaptation by Extreme Value Theory. CoRR (2021)
Xin Qian, Diego Klabjan
A Probabilistic Approach to Neural Network Pruning. ICML (2021)
Abdolghani Ebrahimi, Diego Klabjan
Neuron-based Pruning of Deep Neural Networks with Better Generalization using Kronecker Factored Curvature Approximation. CoRR (2021)
Huiyu Wu, Diego Klabjan
Logit-based Uncertainty Measure in Classification. IEEE BigData (2021)
Xiaofeng Zhu, Diego Klabjan
Continual Neural Network Model Retraining. IEEE BigData (2021)
Xingyu Wang, Lida Zhang, Diego Klabjan
Keyword-based Topic Modeling and Keyword Selection. IEEE BigData (2021)
Yiming Xu, Diego Klabjan
Concept Drift and Covariate Shift Detection Ensemble with Lagged Labels. IEEE BigData (2021)
Stephanie Ger, Diego Klabjan, Jean Utke
Classification Models for Partially Ordered Sequences. ICANN (1) (2021)
Huiyu Wu, Diego Klabjan
Logit-based Uncertainty Measure in Classification. CoRR (2021)
Young Woong Park, Diego Klabjan
Subset selection for multiple linear regression via optimization. J. Glob. Optim. 77 (3) (2020)
Xiaofeng Zhu, Diego Klabjan
Listwise Learning to Rank by Exploring Unique Ratings. CoRR (2020)
Diego Klabjan, Mark Harmon
Dynamic prediction length for time series with sequence to sequence network. ICAIF (2020)
Xin Qian, Diego Klabjan
The Impact of the Mini-batch Size on the Variance of Gradients in Stochastic Gradient Descent. CoRR (2020)
Rafet Sifa, Michael Fedell, Nathan Franklin, Diego Klabjan, Shiva Ram, Arpan Venugopal, Simon Demediuk, Anders Drachen
Retention Prediction in Sandbox Games with Bipartite Tensor Factorization. SAI (1) (2020)
Qiang Gao, Zhipeng Luo, Diego Klabjan
Efficient Architecture Search for Continual Learning. CoRR (2020)
Diego Klabjan, Xiaofeng Zhu
Neural Network Retraining for Model Serving. CoRR (2020)
Cheolmin Kim, Diego Klabjan
A Simple and Fast Algorithm for L1-Norm Kernel PCA. IEEE Trans. Pattern Anal. Mach. Intell. 42 (8) (2020)
Xingyu Wang, Lida Zhang, Diego Klabjan
Keyword-based Topic Modeling and Keyword Selection. CoRR (2020)
Xiaofeng Zhu, Diego Klabjan
Listwise Learning to Rank by Exploring Unique Ratings. WSDM (2020)
Mengfan Xu, Diego Klabjan
Regret Bounds and Reinforcement Learning Exploration of EXP-based Algorithms. CoRR (2020)
Jaehoon Koo, Diego Klabjan
Improved Classification Based on Deep Belief Networks. ICANN (1) (2020)
Jaehoon Koo, Diego Klabjan, Jean Utke
Combined Convolutional and Recurrent Neural Networks for Hierarchical Classification of Images. IEEE BigData (2020)
Conrado Borraz-Sánchez, Diego Klabjan, Alper Uygur
An Approach for the Railway Multiterritory Dispatching Problem. Transp. Sci. 54 (3) (2020)
Yiming Xu, Dnyanesh Rajpathak, Ian Gibbs, Diego Klabjan
Automatic Ontology Learning from Domain-specific Short Unstructured Text Data. KMIS (2020)
Alexander Cao, Yuan Luo, Diego Klabjan
Open-Set Recognition with Gaussian Mixture Variational Autoencoders. CoRR (2020)
Cheolmin Kim, Diego Klabjan
Stochastic Variance-Reduced Algorithms for PCA with Arbitrary Mini-Batch Sizes. AISTATS (2020)
Jaehoon Koo, Diego Klabjan, Jean Utke
Inverse Classification with Limited Budget and Maximum Number of Perturbed Samples. CoRR (2020)
Yiming Xu, Diego Klabjan
Concept Drift and Covariate Shift Detection Ensemble with Lagged Labels. CoRR (2020)
Xiaoyi Liu, Diego Klabjan, Patrick N. Bless
Data Extraction from Charts via Single Deep Neural Network. CoRR (2019)
Cheolmin Kim, Youngseok Kim, Diego Klabjan
Scale Invariant Power Iteration. CoRR (2019)
Diego Klabjan, Mark Harmon
Activation Ensembles for Deep Neural Networks. IEEE BigData (2019)
Rishabh Joshi, Varun Gupta, Xinyue Li, Yue Cui, Ziwen Wang, Yaser Norouzzadeh Ravari, Diego Klabjan, Rafet Sifa, Azita Parsaeian, Anders Drachen, Simon Demediuk
A Team Based Player Versus Player Recommender Systems Framework For Player Improvement. ACSW (2019)
Yaxiong Zeng, Diego Klabjan
Online adaptive machine learning based algorithm for implied volatility surface modeling. Knowl. Based Syst. 163 (2019)
Ye Xue, Diego Klabjan, Yuan Luo
Predicting ICU readmission using grouped physiological and medication trends. Artif. Intell. Medicine 95 (2019)
Ye Xue, Diego Klabjan, Yuan Luo
Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension. CoRR (2019)
Myat Aung, Simon Demediuk, Yuan Sun, Ye Tu, Yu Ang, Siva Nekkanti, Shantanu Raghav, Diego Klabjan, Rafet Sifa, Anders Drachen
The trails of Just Cause 2: spatio-temporal player profiling in open-world games. FDG (2019)
Adam Sandler, Diego Klabjan, Yuan Luo
Conditional Hierarchical Bayesian Tucker Decomposition. CoRR (2019)
Biyi Fang, Diego Klabjan
Convergence Analyses of Online ADAM Algorithm in Convex Setting and Two-Layer ReLU Neural Network. CoRR (2019)
Jie Yang, Sergey Shebalov, Diego Klabjan
Semi-Supervised Learning for Discrete Choice Models. IEEE Trans. Intell. Transp. Syst. 20 (11) (2019)
Xin Qian, Matthew Kennedy, Diego Klabjan
Dynamic Cell Structure via Recursive-Recurrent Neural Networks. CoRR (2019)
Yiming Xu, Dnyanesh Rajpathak, Ian Gibbs, Diego Klabjan
Automatic Ontology Learning from Domain-Specific Short Unstructured Text Data. CoRR (2019)
Stephanie Ger, Diego Klabjan
Autoencoders and Generative Adversarial Networks for Anomaly Detection for Sequences. CoRR (2019)
Ye Xue, Diego Klabjan, Yuan Luo
Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension. IEEE BigData (2019)
Mark Harmon, Diego Klabjan
Dynamic Prediction Length for Time Series with Sequence to Sequence Networks. CoRR (2018)
Young Woong Park, Diego Klabjan
-norm principal component analysis. Knowl. Inf. Syst. 54 (3) (2018)

Diego Klabjan.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Diego Klabjan