D. Klabjan

PROFILE

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Aliases
D. Klabjan, Diego Klabjan
Publication record
246 papers · 5,811 citations · H-index 43

PAPERS

S-Omninet: Structured Data Enhanced Universal Multimodal Learning Architecture
20230 citationsauthor #2
Decentralized Randomly Distributed Multi-agent Multi-armed Bandit with Heterogeneous Rewards
202312 citationsauthor #2
Early Classifying Multimodal Sequences
20230 citationsauthor #3
Stochastic Scale Invariant Power Iteration for KL-divergence Nonnegative Matrix Factorization
20230 citationsauthor #4
Learning Multiple Coordinated Agents under Directed Acyclic Graph Constraints
20231 citationsauthor #2
A Policy for Early Sequence Classification
20232 citationsauthor #3
Unsupervised Video Summarization via Iterative Training and Simplified GAN
20235 citationsauthor #2
Regret Lower Bounds in Multi-agent Multi-armed Bandit
20231 citationsauthor #2
Semi-supervised 3D Video Information Retrieval with Deep Neural Network and Bi-directional Dynamic-time Warping Algorithm
20230 citationsauthor #2
Gradient-Boosted Based Structured and Unstructured Learning
20233 citationsauthor #2
An inverse classification framework with limited budget and maximum number of perturbed samples
20230 citationsauthor #2
Multi-Layer Attention-Based Explainability via Transformers for Tabular Data
20235 citationsauthor #2
Divergence Results and Convergence of a Variance Reduced Version of ADAM
20229 citationsauthor #2
DOTA 2 match prediction through deep learning team fight models
20229 citationsauthor #7
Nested Multi-view Image Classification
20220 citationsauthor #3
Anomaly Detection in Player Performances in Multiplayer Online Battle Arena Games
20228 citationsauthor #6
Pareto Regret Analyses in Multi-objective Multi-armed Bandit
202214 citationsauthor #2
Open-Set Recognition of Breast Cancer Treatments
20225 citationsauthor #2
A Primal-Dual Algorithm for Hybrid Federated Learning
20229 citationsauthor #3
An inverse classification framework with limited budget and maximum number of perturbed samples
20224 citationsauthor #2
Tricks and Plugins to GBM on Images and Sequences
20220 citationsauthor #3
A mixed methods analysis of caller-emergency medical dispatcher communication during 9-1-1 calls for out-of-hospital cardiac arrest.
20227 citationsauthor #7
Feature Acquisition Using Monte Carlo Tree Search*
20220 citationsauthor #2
Topic Analysis for Text with Side Data
20220 citationsauthor #3
Large-Scale Multi-Document Summarization with Information Extraction and Compression
20223 citationsauthor #3
Continual Neural Network Model Retraining
20215 citationsauthor #2
Neuron-based Pruning of Deep Neural Networks with Better Generalization using Kronecker Factored Curvature Approximation
20215 citationsauthor #2
Aggregation Delayed Federated Learning
20215 citationsauthor #2
Non-Convex Optimization with Spectral Radius Regularization
20211 citationsauthor #2
Layer Flexible Adaptive Computation Time
20212 citationsauthor #3
Archetypal Analysis Based Anomaly Detection for Improved Storytelling in Multiplayer Online Battle Arena Games
202111 citationsauthor #8
A Probabilistic Approach to Neural Network Pruning
202124 citationsauthor #2
Logit-based Uncertainty Measure in Classification
20218 citationsauthor #2
Classification Models for Partially Ordered Sequences
20210 citationsauthor #2
Keyword-based Topic Modeling and Keyword Selection
20204 citationsauthor #3
The Impact of the Mini-batch Size on the Variance of Gradients in Stochastic Gradient Descent
202041 citationsauthor #2
Stochastic Variance-Reduced Algorithms for PCA with Arbitrary Mini-Batch Sizes
20206 citationsauthor #2
Execution quality and chargeback penalties in retail supply chains
20204 citationsauthor #3
Open Set Domain Adaptation by Extreme Value Theory
20205 citationsauthor #2
Regret Bounds and Reinforcement Learning Exploration of EXP-based Algorithms
20201 citationsauthor #2
Listwise Learning to Rank by Exploring Unique Ratings
202027 citationsauthor #2
Open-Set Recognition with Gaussian Mixture Variational Autoencoders
202045 citationsauthor #3
Inverse Classification with Limited Budget and Maximum Number of Perturbed Samples
20202 citationsauthor #2
Concept Drift and Covariate Shift Detection Ensemble with Lagged Labels
20208 citationsauthor #2
Retention Prediction in Sandbox Games with Bipartite Tensor Factorization
20202 citationsauthor #4
Neural Network Retraining for Model Serving
202012 citationsauthor #1
Efficient Architecture Search for Continual Learning
202067 citationsauthor #3
An Approach for the Railway Multiterritory Dispatching Problem
20201 citationsauthor #2
Automatic Ontology Learning from Domain-Specific Short Unstructured Text Data
20195 citationsauthor #4
Autoencoders and Generative Adversarial Networks for Imbalanced Sequence Classification
20198 citationsauthor #2
A Team Based Player Versus Player Recommender Systems Framework For Player Improvement
201911 citationsauthor #7
Predicting ICU readmission using grouped physiological and medication trends
201968 citationsauthor #2
Dynamic Cell Structure via Recursive-Recurrent Neural Networks
20190 citationsauthor #3
Convergence Analyses of Online ADAM Algorithm in Convex Setting and Two-Layer ReLU Neural Network
20199 citationsauthor #2
Data Extraction from Charts via Single Deep Neural Network
201960 citationsauthor #2
Stochastic Variance-Reduced Heavy Ball Power Iteration
20192 citationsauthor #2
Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension
201910 citationsauthor #2
The trails of Just Cause 2: spatio-temporal player profiling in open-world games
201915 citationsauthor #8
Autoencoders and Generative Adversarial Networks for Anomaly Detection for Sequences
20198 citationsauthor #2
Diego Klabjan
20191 citationsauthor #1
Scale Invariant Power Iteration
20193 citationsauthor #3
Conditional Hierarchical Bayesian Tucker Decomposition for Genetic Data Analysis
20190 citationsauthor #2
k-Nearest Neighbors by Means of Sequence to Sequence Deep Neural Networks and Memory Networks
20182 citationsauthor #2
A Stochastic Large-scale Machine Learning Algorithm for Distributed Features and Observations
20181 citationsauthor #2
Combined Convolutional and Recurrent Neural Networks for Hierarchical Classification of Images
201813 citationsauthor #2
Nested multi-instance classification
20180 citationsauthor #2
To be or not to be...social: incorporating simple social features in mobile game customer lifetime value predictions
201843 citationsauthor #8
Improved Classification Based on Deep Belief Networks
20182 citationsauthor #2
Decluttering Geographic Data View Displays
20180 citationsauthor #4
Truth validation with evidence
20181 citationsauthor #2
SolverBlox: algebraic modeling in datalog
20188 citationsauthor #2
Diminishing Batch Normalization
201814 citationsauthor #2
Forecasting Crime with Deep Learning
201855 citationsauthor #2
Layer Flexible Adaptive Computational Time for Recurrent Neural Networks
20181 citationsauthor #2
Location-Awareness in Time Series Compression
20183 citationsauthor #4
Competitive Multi-agent Inverse Reinforcement Learning with Sub-optimal Demonstrations
201844 citationsauthor #2
Large-Scale Adversarial Sports Play Retrieval with Learning to Rank
201814 citationsauthor #2
Bayesian Active Learning for Choice Models With Deep Gaussian Processes
201814 citationsauthor #2
Controlling the crucible: a novel PvP recommender systems framework for destiny
201814 citationsauthor #6
Unified recurrent network for many feature types
20180 citationsauthor #2
Nested multi-instance classification
20180 citationsauthor #2
Unified recurrent neural network for many feature types
20182 citationsauthor #2
Dynamic prediction length for time series with sequence to sequence network
20189 citationsauthor #2
Three iteratively reweighted least squares algorithms for $$L_1$$L1-norm principal component analysis
201813 citationsauthor #2
Portfolio optimization for American options
20183 citationsauthor #2
Over Sampling for Time Series Classification
20170 citationsauthor #2
Online Adaptive Machine Learning Based Algorithm for Implied Volatility Surface Modeling
201729 citationsauthor #2
Activation Ensembles for Deep Neural Networks
201736 citationsauthor #2
Optimization for gate re-assignment
201749 citationsauthor #2
Optimal Recharging Policies for Electric Vehicles
201772 citationsauthor #3
Three iteratively reweighted least squares algorithms for L1\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$L_1$$\end{
20170 citationsauthor #2
Semi-Supervised Learning for Discrete Choice Models
201712 citationsauthor #3
Improving the Expected Improvement Algorithm
2017147 citationsauthor #2
Optimization of Time-Varying Electricity Rates
201720 citationsauthor #2
Identifying Key Words in 9-1-1 Calls for Stroke: A Mixed Methods Approach
201722 citationsauthor #13
Convergence Analysis of Batch Normalization for Deep Neural Nets
201715 citationsauthor #2
Big Data and the Future of R&D Management
201758 citationsauthor #4
An Attention-Based Deep Net for Learning to Rank
201715 citationsauthor #2
Generative Adversarial Nets for Multiple Text Corpora
201715 citationsauthor #2
Unsupervised Terminological Ontology Learning Based on Hierarchical Topic Modeling
20176 citationsauthor #2

TIMELINE

1998 63 citations

1999 10 citations

2000 30 citations

2001 217 citations

2002 191 citations

2003 262 citations

2004 51 citations

2005 110 citations

2006 649 citations

2007 288 citations

2008 86 citations

2009 88 citations

2010 170 citations

2011 497 citations

2012 328 citations

2013 224 citations

2014 368 citations

2015 145 citations

2016 496 citations

2017 698 citations

2018 256 citations

2019 200 citations

2020 225 citations

2021 61 citations

2022 68 citations

2023 29 citations

Unknown 3 citations

D. Klabjan

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