Submissions from 2022
Information Bottleneck in Deep Learning - A Semiotic Approach, Bogdan Musat and Razvan Andonie
Submissions from 2021
Concept Drift Adaptation with Incremental–Decremental SVM, Honorius Gâlmeanu and Răzvan Andonie
Survey of Explainable Machine Learning with Visual and Granular Methods Beyond Quasi-Explanations, Boris Kovalerchuk, Muhammad Aurangzeb Ahmad, and Ankur Teredesai
Computing the Union Join and Subset Graph of Acyclic Hypergraphs in Subquadratic Time, Arne Leitert
Learning in Convolutional Neural Networks Accelerated by Transfer Entropy, Adrian Moldovan, Angel Caţaron, and Răzvan Andonie
Submissions from 2020
Weighted Random Search for CNN Hyperparameter Optimization, Rǎzvan Andonie and Adrian-Cǎtǎlin Florea
Visualizing Transformers for NLP: A Brief Survey, Adrian M. P. Braşoveanu and Răzvan Andonie
Integrating Machine Learning Techniques in Semantic Fake News Detection, Adrian M.P. Braşoveanu and Răzvan Andonie
Nanorobot for Cancer Biomarker Instrumentation, Adriano Cavalcanti, Declan G. Murphy, and Prokar Dasgupta
Scheduling Tardiness Constrained Flow Shop with Simultaneously Loaded Stations Using Genetic Algorithm, Donald David Davendra, Frank Hermann, and Magdalena Bialic-Davendra
Modeling Multi-Targets Sentiment Classification via Graph Convolutional Networks and Auxiliary Relation, Ao Feng, Zhengjie Gao, Xinyu Song, Ke Ke, Tianhao Xu, and Xuelei Zhang
Intelligible Machine Learning and Knowledge Discovery Boosted by Visual Means, Boris Kovalerchuk
Solving Non-image Learning Problems by Mapping to Images, Boris Kovalerchuk, Bedant Agarwal, and Divya Chandrika Kall
Learning in Feedforward Neural Networks Accelerated by Transfer Entropy, Adrian Moldovan, Angel Caţaron, and Rǎzvan Andonie
Semiotic Aggregation in Deep Learning, Bogdan Muşat and Răzvan Andonie
Submissions from 2019
Hyperparameter optimization in learning systems, Răzvan Andonie
Semantic Fake News Detection: A Machine Learning Perspective, Adrian M.P. Braşoveanu and Răzvan Andonie
Classification of Stars using Stellar Spectra collected by the Sloan Digital Sky Survey, Michael Brice and Răzvan Andonie
Classification of Stars using Stellar Spectra collected by the Sloan Digital Sky Survey, Michael Brice and Răzvan Andonie
Automated Morgan Keenan Classification of Observed Stellar Spectra Collected by the Sloan Digital Sky Survey Using a Single Classifier, Michael J. Brice and Răzvan Andonie
Equivalence between pathbreadth and strong pathbreadth, Guillaume Ducoffe and Arne Leitert
Weighted Random Search for Hyperparameter Optimization, Adrian-Cǎtǎlin Florea and Rǎzvan Andonie
Efficient QoE-Aware Scheme for Video Quality Switching Operations in Dynamic Adaptive Streaming, Iheanyi Irondi, Qi Wang, Christos Grecos, Jose M. Alcaraz Calero, and Pablo Caseseca-de-la-Higuera
Interpretable Knowledge Discovery Reinforced by Visual Methods, Boris Kovalerchuk
Parameterized approximation algorithms for some location problems in graphs, Arne Leitert and Feodor F. Dragan
Benchmarking Machine-Learning-Based Object Detection on a UAV and Mobile Platform, Ignacio Martinez-Alpiste, Pablo Casaseca-de-la-Higuera, Jose Alcaraz-Calero, Christos Grecos, and Qi Wang
Submissions from 2018
Automatic Classification and Shift Detection of Facial Expressions in Event-Aware Smart Environments, Arne Bernin, Larissa Müller, Sobin Ghose, Christos Grecos, Qi Wang, Ralf Jettke, Kai von Luck, and Florian Vogt
Looking at faces in the wild, Eugene Borovikov, Szilárd Vajda, Michael Bonifant, and Michael Gill
Transfer Information Energy: A Quantitative Indicator of Information Transfer between Time Series, Angel Caƫaron and Rǎzvan Andonie
Segmenting Oil Spills from Blurry Images Based on Alternating Direction Method of Multipliers, Feng Chen, Huiyu Zhou, Christos Grecos, and Peng Ren
Deep Learning of 2-D Images Representing n-D Data in General Line Coordinates, Dmytro Dovhalets, Boris Kovalerchuk, Szilárd Vajda, and Răzvan Andonie
HEVC optimization based on human perception for real-time environments, D. G. Fernández, Guillermo Botella, Alberto A. Del Barrio, Carlos García, Manuel Prieto-Matías, and Christos Grecos
A Dynamic Early Stopping Criterion for Random Search in SVM Hyperparameter Optimization, Adrian Cătălin Florea and Răzvan Andonie
Visual Knowledge Discovery and Machine Learning, Boris Kovalerchuk
CWU-Chess: An Adaptive Chess Program that Improves After Each Game, Joseph Lemley, Răzvan Andonie, Ashur Odaht, Pushpinder Heer, Jonathan Widger, Berk Erkul, Lukas Magill, and Kyle Littlefield
Adopting cyber security practices in Internet of Things: a review, Priti Maheshwary, Timothy Malche, Christos Grecos, and Mukul Shirvaikar
Blind image sharpness metric based on edge and texture features, Priti Maheshwary, Mukul Shirvaikar, and Christos Grecos
Feature Selection for Automatic Tuberculosis Screening in Frontal Chest Radiographs, Szilárd Vajda, Alexandros Karargyris, Stefan Jaeger, K. C. Santosh, Sema Candemir, Zhiyun Xue, Sameer Antani, and George Thoma
Submissions from 2017
MapReduce: From Elementary Circuits to Cloud, Rǎzvan Andonie, Mihaela Maliţa, and Gheorghe M. Ştefan
Asymptotically Unbiased Estimation of A Nonsymmetric Dependence Measure Applied to Sensor Data Analytics and Financial Time Series, Angel Caƫaron, Razvan Andonie, and Yvonne Chueh
Transfer Information Energy: A Quantitative Causality Indicator Between Time Series, Angel Caţaron and Răzvan Andonie
Scalable context-aware development infrastructure for interactive systems in smart environments, Tobias Eichler, Susanne Draheim, Christos Grecos, Qi Wang, and Kai von Luck
Information fusion based techniques for HEVC, D. G. Fernández, A. A. Del Barrio, Guillermo Botella, Uwe Meyer-Baese, Anke Meyer-Baese, and Christos Grecos
Pre-processing techniques to improve HEVC subjective quality, D. G. Fernández, A. A. Del Barrio, Guillermo Botella, Uwe Meyer-Baese, Anke Meyer-Baese, and Christos Grecos
Parallel Implementation of a Bug Report Assignment Recommender Using Deep Learning, Adrian-Cătălin Florea, John Anvik, and Răzvan Andonie
Spark-Based Cluster Implementation of a Bug Report Assignment Recommender System, Adrian-Cătălin Florea, John Anvik, and Răzvan Andonie
Beyond the High Efficiency Video Coding standard: an overview, Christos Grecos
Relationships Between Probability and Possibility Theories, Boris Kovalerchuk
Visual cognitive algorithms for high-dimensional data and super-intelligence challenges, Boris Kovalerchuk
Constructing Interactive Visual Classification, Clustering and Dimension Reduction Models for n-D Data, Boris Kovalerchuk and Dmytro Dovhalets
Adjustable general line coordinates for visual knowledge discovery in n-D data (no. 12), Boris Kovalerchuk and Vladimir Grishin
Toward virtual data scientist with visual means, Boris Kovalerchuk and Michael Kovalerchuk
Parallel Bayesian ARTMAP and Its OpenCL Implementation, István Lőrentz, Răzvan Andonie, and Lucian M. Sasu
Complex network analysis of firefly algorithm population dynamics, Magdalena Metlicka and Donald Davendra
Emotional journey for an emotion provoking cycling exergame, Larissa Müller, Arne Bernin, Andreas Kamenz, Sobin Ghose, Kai von Luck, Christos Grecos, Qi Wang, and Florian Vogt
Enhancing exercise experience with individual multi-emotion provoking game elements, Larissa Müller, Arne Bernin, Kai von Luck, Andreas Kamenz, Sobin Ghose, Qi Wang, Christos Grecos, and Florian Vogt
Copula as a Bridge Between Probability Theory and Fuzzy Logic, Germano Resconi and Boris Kovalerchuk
Ontological Data Mining, Evgenii Vityaev and Boris Kovalerchuk
Visual Knowledge Discovery and Machine Learning for Investment Strategy, Antoni Wilinski and Boris Kovalerchuk
Submissions from 2016
Cost efficient prediction of Cabernet Sauvignon wine quality, Răzvan Andonie, Anne M. Johansen, Amy L. Mumma, Holly C. Pinkart, and Szilárd Vajda
Self-Organizing Migrating Algorithm: Methodology and Implementation, Donald Davendra and Ivan Zelinka
Incremental and Decremental SVM for Regression, Honorius Gâlmeanu, Lucian Mircea Sasu, and Rǎzvan Andonie
Super-intelligence Challenges and Lossless Visual Representation of High-Dimensional Data, Boris Kovalerchuk
Comparison of formulations of applied tasks with intervals, fuzzy sets and probability approaches, Boris Kovalerchuk and Vladik Kreinovich
Concepts of solutions of uncertain equations with intervals, probabilities and fuzzy sets for applied tasks, Boris Kovalerchuk and Vladik Kreinovich
Big Holes in Big Data: A Monte Carlo Algorithm for Detecting Large Hyper-Rectangles in High Dimensional Data, Joseph Lemley, Filip Jagodzinski, and Răzvan Andonie
Complex network analysis based adaptive differential evolution, Magdalena Metlicka and Donald Davendra
Complex network based adaptive artificial bee colony algorithm, Magdalena Metlicka and Donald Davendra
Physiological Data Analysis for an Emotional Provoking Exergame, Larissa Müller, Arne Bernin, Sobin Ghose, Wojtek Gozdzielewski, Qi Wang, Christos Grecos, Kai von Luck, and Florian Vogt
Complex Network Analysis in PSO as an Fitness Landscape Classifier, Michal Pluhacek, Roman Senkerik, Adam Viktorin, Jakub Janostik, and Donald Davendra
Edge map analysis in chest X-rays for automatic pulmonary abnormality screening, K. C. Santosh, Szilárd Vajda, Sameer Antani, and George R. Thoma
Ambient Surfaces: Interactive Displays in the Informative Workspace of Co-located Scrum Teams, Jan Schwarzer, Susanne Draheim, Kai Von Luck, Qi Wang, Pablo Casaseca, and Christos Grecos
On the influence of different randomization and complex network analysis for differential evolution, Roman Senkerik, Adam Viktorin, Michal Pluhacek, Jakub Janostik, and Donald Davendra
A fast k-nearest neighbor classifier using unsupervised clustering, Szilárd Vajda and K. C. Santosh
Advances in Mobile Video Networking, Qi Wang, Guojun Wang, Chrisos Grecos, and Ansgar Gerlicher
Submissions from 2015
Financial Data Analysis Using The Informational Energy Unilateral Dependency Measure, Angel Caţaron, Răzvan Andonie, and Yvonne Chueh
Summation of linguistic numbers, Boris Kovalerchuk
Rigorous sensor resource management: Methodology and evolutionary optimization, Boris Kovalerchuk and Leonid Perlovsky
Sensor Resource Management: Intelligent Multi-objective Modularized Optimization Methodology and Models, Boris Kovalerchuk and Leonid Perlovsky
Computing with words beyond quantitative words: Incongruity modeling, Boris Kovalerchuk and Andrew Smigaj
Music genre classification with Self-Organizing Maps and edit distance, Răzvan Popovici and Răzvan Andonie
Sensor signal clustering with Self-Organizing Maps, Răzvan Popovici and Răzvan Andonie
Real-time Monitoring of Tectonic Displacements in the Pacific Northwest through an Array of GPS Receivers, Răzvan Popovici, Răzvan Andonie, Walter M. Szeliga, Timothy I. Melbourne, and Craig W. Scrivner
A time-based approach to automatic bug report assignment, Ramin Shokripour, John Anvik, Zarinah M. Kasirun, and Sima Zamani
Submissions from 2014
Bayesian ARTMAP prediction of biological activities for potential HIV-1 protease inhibitors using a small molecular dataset, Razvan Andonie, Levente Fabry-Asztalos, and Lucian M. Sasu
kNN estimation of the unilateral dependency measure between random variables, Angel Caţaron, Răzvan Andonie, and Yvonne Chueh
Improving web search relevance with learning structure of domain concepts, Boris A. Galitsky and Boris Kovalerchuk
Multidimensional Collaborative Lossless Visualization: Experimental Study, Vladimir Grishin and Boris Kovalerchuk
Probabilistic Solution of Zadeh’s Test Problems, Boris Kovalerchuk
Visualization of multidimensional data with collocated paired coordinates and general line coordinates, Boris Kovalerchuk
Collaborative Lossless Visualization of n-D Data by Collocated Paired Coordinates, Boris Kovalerchuk and Vladimir Grishin
Accelerating Molecular Structure Determination Based on Inter-Atomic Distances Using OpenCL, István Lőrentz, Răzvan Andonie, and Levente Fabry-Asztalos
Improving automatic bug assignment using time‐metadata in term‐weighting, Ramin Shokripour, John Anvik, Zarinah M. Kasirun, and Sima Zamani
Hydrogen peroxide staining to visualize intracellular bacterial infections of seedling root cells, James F. White Jr., Mónica S. Torres, Mohini P. Somu, Holly Johnson, Ivelisse Irizarry, Qiang Chen, Ning Zhang, Emily Walsh, Mariusz Tadych, and Marshall Bergen
A noun-based approach to feature location using time-aware term-weighting, Sima Zamani, Sai Peck Lee, Ramin Shokripour, and John Anvik
Submissions from 2013
A conservation and rigidity based method for detecting critical protein residues, Bahar Akbal-Delibas, Filip Jagodzinski, and Nurit Haspel
Rigidity analysis of protein biological assemblies and periodic crystal structures, Filip Jagodzinski, Pamela Clark, Jessica Grant, Tiffany Liu, Samantha Monastra, and Ileana Streinu
Quest for rigorous intelligent tutoring systems under uncertainty: Computing with Words and Images, Boris Kovalerchuk
Guidance in feature extraction to resolve uncertainty, Boris Kovalerchuk, Michael Kovalerchuk, Simon Streltsov, and Matthew Best
Correlation of partial frames in video matching, Boris Kovalerchuk and Sergei Kovalerchuk