**Latent Variable Energy Based Model with Self-Supervised Approaches for Cancer Grading Problem**

**Challenges in Expert Labeling of Data to Leverage Machine Learning to Support Physiotherapy in the ICU**

**Identifying trusted and ambiguous region in neural network predictions: high-fidelity AI for image pathology**

**Supervised Machine Learning Pipeline to Classify Pain using sEMG and MMG during Neuromuscular Electrical Stimulation to Combat Intensive Care Unit Acquired Weakness**

**Iterative XAI Frameworks for Oncology Decision Making: Integrating Expert Feedback to Enhance Cancer Diagnosis**

**Expert Labelling of Data to Leverage Machine Learning to Administer Neuromuscular Electrical Stimulation in the Non-Responsive Patient**

**Physiological Data Annotation to Leverage Machine Learning to Better Administer Neuromuscular Electrical Stimulation in the Non-Responsive ICU Patient**

**ABC: Artificial Intelligence for Bladder Cancer Grading System**

**A Semi-Supervised Learning Approach for Bladder Cancer Grading**

**A wavelet feature-based neural network approach to estimate electrical arc characteristics**

**An Application of Machine Learning to Forecast Hypertension Signals in Intracranial Pressure: A Comparison of Various Algorithms**

**Machine Learning-Based Approach to Analyze Saccadic Eye Movement in Patients with Mild Traumatic Brain Injury**

**A Deep Neural Network Approach for Sentiment Analysis of Medically Related Texts: An Analysis of Tweets Related to Concussions in Sports**

**Application of Hybrid Wavelet-SVM Algorithm to Detect Broken Rotor Bars in Induction Motors**

**Implementation of remote data collection necessitated by physical distancing required in a research program developing smart textile garments for delivery of neuromuscular electrical stimulation therapy in the ICU **

**Re: Artificial Intelligence for Diagnosis and Grading of Prostate Cancer in Biopsies: A Population-based, Diagnostic Study **

**Machine Learning Applications in Imaging Analysis for Patients with Pituitary Tumors: A Review of the Current Literature and Future Directions**

**Toward learning intracranial hypertension through physiological features: A statistical and machine learning approach**

**On the impact of topological properties of smart grids in power losses optimization problems**

**Application of multilayer perceptron neural networks and support vector machines in classification of healthcare data**

**A learning intelligent System for classification and characterization of localized faults in Smart Grids**

**An agent-based algorithm exploiting multiple local dissimilarities for clusters mining and knowledge discovery**

**On the impact of topological properties of smart grids in power losses optimization problems**

**Classification of type-2 fuzzy sets represented as sequences of vertical slices**

**Discrimination and characterization of parkinsonian rest tremors by analyzing long-term correlations and multifractal signatures**

**On the Long-Term Correlations and Multifractal Properties of Electric Arc Furnace Time Series**

**Analysis of heat kernel highlights the strongly modular and heat-preserving structure of proteins**

**A generative model for protein contact networks**

**Characterization of graphs for protein structure modeling and recognition of solubility**

**An Extreme Learning Machine (ELM) Predictor for Electric Arc Furnaces’ v-i Characteristics**

**Retweet prediction considering user’s difference as an author and retweeter**

**A dissimilarity learning approach by evolutionary computation for faults recognition in smart grids**

**Granular Computing Techniques for Classification and Semantic Characterization of Structured Data**

**Identifying user habits through data mining on call data records**

**A new fuzzy disjointing difference operator to calculate union and intersection of type-2 fuzzy sets**

**Interval Type-2 Fuzzy Set Reconstruction Based on Fuzzy Information-Theoretic Kernels**

**Frontiers of higher order fuzzy sets**

**Quantitative ultrasound spectroscopic imaging for characterization of disease extent in prostate cancer patients**

**Multifractal characterization of protein contact networks**

**Entropic one-class classifiers,” IEEE Trans. Neural Networks Learn**

**Data granulation by the principles of uncertainty**

**Granular modeling and computing approaches for intelligent analysis of non-geometric data**

**Classifying sequences by the optimized dissimilarity space embedding approach: A case study on the solubility analysis of the E. coli proteome**

**A learning intelligent system for fault detection in Smart Grid by a One-Class Classification approach**

**Modeling and recognition of smart grid faults by a combined approach of dissimilarity learning and one-class classification**

**Synthesizing social context for making Internet of Things environments more immersive**

**CANthings’ (Context Aware Network for the Design of Connected Things) service modeling based on Timed CPN**

**Prediction of telephone calls load using Echo State Network with exogenous variables**

**Short-Term Electric Load Forecasting Using Echo State Networks and PCA Decomposition**

**Recommender systems in e-commerce**

**Interval type-2 fuzzy sets to model linguistic label perception in online services satisfaction**

**Distinguishability of interval type-2 fuzzy sets data by analyzing upper and lower membership functions**

**Optimized dissimilarity space embedding for labeled graphs**

**Fault recognition in smart grids by a one-class classification approach**

**Evolutionary optimization of a one-class classification system for faults recognition in smart grids**

**‘CANthings’: Context-Aware Networks for the Design of Connected Things**

**A formal ontology alignment for canthings (context aware network for the connected things)**

**A Granular Computing approach to the design of optimized graph classification systems**

**Induction of shadowed sets based on the gradual grade of fuzziness**

**Shadowed fuzzy sets: A framework with more freedom degrees for handling uncertainties than interval type-2 fuzzy sets and lower computational complexity than general type-2 fuzzy sets**

**Low-frequency quantitative ultrasound imaging of cell death in vivo**

**Matching general type-2 fuzzy sets by comparing the vertical slices**

**Modeling complex concepts with type-2 fuzzy sets: The case of user satisfaction of online services**

**Drivers of customer satisfaction in online tourism-the case of European countries**

**Bouncing and raindrop image search algorithms, two novel feature detection mechanisms**

**Aggregating α-planes for Type-2 fuzzy set matching**

**Dissimilarity space embedding of labeled graphs by a clustering-based compression procedure**

**Ontology enhancement through inductive decision trees**

**Median interval approach to model words with interval type-2 fuzzy sets**

**Handling uncertainties of membership functions with Shadowed Fuzzy Sets**

**On the accessibility/controllability of fuzzy control systems**

**A hybrid approach for adaptive car navigation**

**Dynamic reconstruction of nonlinear v-i characteristic in electric arc furnaces using adaptive neuro-fuzzy rule-based networks**

**Relational attribute integrated matching analysis (RAIMA): A framework for the design of self-adaptive egocentric social networks**

**Self-adaptive middleware for the design of context-aware software applications in public transit systems**

**Modeling innovation in international business with respect to the cultural distance using interval type-2 fuzzy sets**

**iFAST: An intelligent Fire-threat Assessment and Size-up Technology for first responders**

**Accessibility of fuzzy control systems**

**Formalized learning automata with adaptive fuzzy coloured Petri net; an application specific to managing traffic signals**

**Spam detection system: A new approach based on interval type-2 fuzzy sets**

**A bidirectional associative memory based on cortical spiking neurons using temporal coding**

**Hopfield neural networks as pseudo random number generators**

**Operations on type-2 fuzzy sets based on the set of pseudo-highest intersection points of convex fuzzy sets**

**Reinforcement learning using associative memory networks,” in Proc Int Jt Conf Neural Networks**

**Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS: A message from the conference organizers**

**Application of artificial neural networks in controlled drug delivery systems**

**Modeling linguistic label perception in tourism E-satisfaction with type-2 fuzzy sets**

**Invited paper: Self-adaptive middleware for the design of context-aware software applications in public transit systems**

**A new approach to improve the accuracy of online clustering algorithm based on scatter/gather mode**

**Traffic signal control with adaptive fuzzy coloured petri net based on learning automata**

**One-shot training algorithm for self-feedback neural networks**

**Feedback associative memory based on a new hybrid model of generalized regression and self-feedback neural networks**

**Ontology Granulation Through Inductive Decision Trees**

**A Context-Aware Development Framework for Building Self-Adaptive Mobile Software for Public Transport Systems**

**A Knowledge Based Decision Support Architecture for Designing Brushless DC Motors**

**Intelligent agent control using simple logic-based hierarchical planning**

**Expectation Maximization Enhancement with Evolution Strategy for Stochastic Ontology Mapping**

**Inducing Relational Fuzzy Classification Rules by means of Cooperative Coevolution**

**Online Detection of Broken Rotor Bars in Induction Motors by Wavelet Packet Decomposition and Neural Networks**

**Survivability in Existing ATM-Based Mesh Networks**

**Computer simulation of developing abrasive jet machined profiles including particle interference**

**A Theoretic Framework for Intelligent Expert Systems in Medical Encounter Evaluation**

**An analytical estimation of dependence of copper loss in high frequency transformers on winding cross section**

**Neural Network Modeling of Magnetic Hysteresis**

**A Review of Applications of Artificial Neural Networks in Cryptosystems**

**A Neural Network-Based Surface Roughness Discrimination Algorithm**

**On the Use of Recurrent Neural Networks to Design Symmetric Ciphers**

**Tangential Magnetic Field at the Surface of Pot core Transformers**

**Novel Low-Frequency Ultrasound Detection of Apoptosis in vitro and in vivo**

**Derivation Of Relational Fuzzy Classification Rules Using Evolutionary Computation**

**Auto-Associative Memory Based on a New Hybrid Model of SFNN and GRNN: Performance Comparison with NDRAM, ART2 and MLP**

**Adaptive Context for Generic Pattern Matching in Ad Hoc Social Networks**

**A Method for Quick Estimation of Tangential Magnetic Field at the Surface of Pot Core Transformers**

**Auto-Associative Neural Network Based on New Hybrid Model of SFNN and GRNN**

**Chosen Plaintext Attack Against Neural Network-Based Symmetric Cipher**

**On Efficient Tuning of LS-SVM Hyper-Parameters in Short-Term Load Forecasting: A Comparative Study**

**A Minimum Distance Bound on 1-Generator Quasi-Cyclic Codes**

**Applying Model-Driven Development to Pervasive System Engineering**

**Social Context Awareness in Ad Hoc System of Systems**

**Rubble Search with Canine Augmentation Technology**

**Canine as Robot in Directed Search**

**Applying Model-Driven Development Techniques to the Development of Search and Rescue Systems**

**PCA-based Least Squares Support Vector Machines in Week-Ahead Load Forecasting**

**An Algebraic Characterization of a class of Quasi-Cylic Code**

**Fuzzy Bayesian Moels for Classification and Diagnosis in generalized Cardiology Discipline**

**Symmetric Cipher Design Using Recurrent Neura Networks**

** Generic Expert System with Fuzzy Bayesian Inference for Medical Classification and Diagnosis in Cardiology**

**A Lower Bound on the Minimum Distance of a 1-Generator Quasi-Cyclic Code**

A. Ferworn, A. Sadeghian, K. Barnum, H. Rahnama, H. Pham, C. Erickson, D. Ostrom, and L. Dell'Agnese, "Urban Search and Rescue with Canine Augmentation Technology," 1st International Conference on System of Systems Engineering (SoSE'2006), accepted.

**Wireless Web Security Using a Neural Network-Based Cipher**

**Mechanical Fault Diagnosis for Induction Motor with Variable Speed Drives using Adaptive Neuro-Fuzzy Inference System**

**A Neuro Fuzzy-based Expert System for Disease Diagnosis**

**Implementation of Knowledge-Based System for Iron Core Inductor Design**

**Design of Broadband Networks Based on the Virtual Network Concept**

**Bounds on the Minimum Distances of a Class of q-ary Images of q^m-ary Irreducible Cyclic Codes**

**Study of the Generalization Capability of the Sugeno-Yasukawa Class of Fuzzy Inference Systems**

**Current Signature Analysis of Induction Motor Mechanical Faults by Wavelet Packet Decomposition**

**An Interpretation of Preisach-Krasnoselskii Hysteresis Model with the use of Artificial Neural Networks**

**Evaluation of a Fuzzy Logic Controller for Laser Thermal Therapy**

**Nonlinear Neuro-Fuzzy Prediction: Methodology, Design & Application**

**On the Use of Recurrent Neuro-Fuzzy Networks for Predictive Control**

**Electrical Machine Fault Detection using Adaptive Neuro-Fuzzy Inference**

**Signature Analysis of Induction Motor Mechanical Faults by Wavelet Packet Decomposition**

**Application of Feedforward Neuro-Fuzzy Networks for Current Prediction in Electric Arc Furnaces**

**Neuro-Fuzzy Predictors for the Approximate Prediction of v-i Characteristic of Electric Arc Furnaces**

**Recurrent Neuro-Fuzzy Predictor for the Prediction of vi characteristics of Electric Arc Furnaces**

**Implementation of a Knowledge-Based System Approach for Inductor and Transformer Design**

**Nonlinear Black-Box Modeling of Electric Arc Furnace: An Application of Fuzzy Logic Systems**

**Application of Adaptive Fuzzy Logic Systems to Model Electric Arc Furnaces**