Vassilis G. Kaburlasos

102 papers A* 1B 22C 3Misc 9Journal 41Unranked 23
YearRankTypeTitle / Venue / Authors
2023 J jnl
A Deep Learning Approach for Precision Viticulture, Assessing Grape Maturity via YOLOv7.
Sensors
Eftichia Badeka, Eleftherios Karapatzak, Aikaterini Karampatea, Elizabeth Bouloumpasi, Ioannis Kalathas, Chris Lytridis, Emmanouil Tziolas, Nikoleta-Victoria Tsakalidou, Vassilis G. Kaburlasos
2023 J jnl
Cooperative Grape Harvesting Using Heterogeneous Autonomous Robots.
Robotics
Chris Lytridis, Christos Bazinas, Ioannis Kalathas, George Siavalas, Christos Tsakmakis, Theodoros Spirantis, Eftichia Badeka, Theodore P. Pachidis, Vassilis G. Kaburlasos
2023 J jnl
Editorial: Emerging technologies for assistive robotics: current challenges and perspectives.
Frontiers Robotics AI
Lyuba Alboul, Maya Dimitrova, Anna K. Lekova, Vassilis G. Kaburlasos, Peter Mitrouchev
2023 — conf
Meta-Statistical Deep Learning for Stochastic Time-Series Prediction in Agricultural Applications.
INNS DLIA@IJCNN
Christos Bazinas, Chris Lytridis, Vassilis G. Kaburlasos
2023 — conf
Skilled Agricultural Task Delivery by a Digital Twin.
CAI
Vassilis G. Kaburlasos, Chris Lytridis, George Siavalas, Nikoleta-Victoria Tsakalidou, Christos Tsakmakis, Ioannis Kalathas, Theodore P. Pachidis, Konstantinos Rantos, Kostas Kalaboukas
2022 — conf
Agricultural Yield Prediction by Difference Equations on Data-Induced Cumulative Possibility Distributions.
NAFIPS
Vassilis G. Kaburlasos, Christos Bazinas, Eleni Vrochidou, Eleftherios Karapatzak
2022 J jnl
Behavioral Data Analysis of Robot-Assisted Autism Spectrum Disorder (ASD) Interventions Based on Lattice Computing Techniques.
Sensors
Chris Lytridis, Vassilis G. Kaburlasos, Christos Bazinas, George A. Papakostas, George K. Sidiropoulos, Vasiliki-Aliki Nikopoulou, Vasiliki Holeva, Maria Papadopoulou, Athanasios Evangeliou
2022 — conf
Considerations for a Multi-purpose Agrobot Design Toward Automating Skillful Viticultural Tasks: A Study in Northern Greece Vineyards.
HAICTA
Eleni Vrochidou, Christos Bazinas, Efthimia Mavridou, Theodore P. Pachidis, Spyridon Mamalis, Stefanos Koundouras, Theodoros Gkrimpizis, Vassilis G. Kaburlasos
2022 J jnl
Coordinated Navigation of Two Agricultural Robots in a Vineyard: A Simulation Study.
Sensors
Chris Lytridis, Christos Bazinas, Theodore P. Pachidis, Vassilios Chatzis, Vassilis G. Kaburlasos
2022 J jnl
Grapevine Plant Image Dataset for Pruning.
Data
Kyriakos D. Apostolidis, Theofanis Kalampokas, Theodore P. Pachidis, Vassilis G. Kaburlasos
2022 J jnl
Towards Robot-Assisted Therapy for Children With Autism - The Ontological Knowledge Models and Reinforcement Learning-Based Algorithms.
Frontiers Robotics AI
Intissar Salhi, Mohammed Qbadou, Soukaina Gouraguine, Khalifa Mansouri, Chris Lytridis, Vassilis G. Kaburlasos
2022 Misc conf
Variable Selection for the Prediction of TSS, pH and TA of Intact Berries of Thompson Seedless Grapes from their NIS Reflection.
SoftCOM
Chrysanthi Chariskou, Christos Bazinas, Andries J. Daniels, Umezuruike L. Opara, Hélène H. Nieuwoudt, Vassilis G. Kaburlasos
2021 Misc conf
A Software Toolbox for Behavioral Analysis in Robot-Assisted Special Education.
SoftCOM
Chris Lytridis, Vassilis G. Kaburlasos, Christos Bazinas, George A. Papakostas, Christina I. Papadopoulou, Vasiliki-Aliki Nikopoulou
2021 Misc conf
A Study on Text Classification for Applications in Special Education.
SoftCOM
Lemonia C. Karathanasi, Christos Bazinas, Grigorios Iordanou, Vassilis G. Kaburlasos
2021 — conf
Development of Educational Scenarios for Child-Robot Interaction: The Case of Learning Disabilities.
RiE
Elpida Karageorgiou, Efrosyni Kourampa, Athanasia-Tania Papanikolaou, Petros Kechayas, Eleftheria Avramidou, Rafailia-Androniki Sabri, Chris Lytridis, George A. Papakostas, Vassilis G. Kaburlasos
2021 J jnl
Grape stem detection using regression convolutional neural networks.
Comput. Electron. Agric.
Theofanis Kalampokas, Eleni Vrochidou, George A. Papakostas, Theodore P. Pachidis, Vassilis G. Kaburlasos
2021 — conf
Yield Estimation in Vineyards Using Intervals' Numbers Techniques.
PCI
Christos Bazinas, Eleni Vrochidou, Chris Lytridis, Vassilis G. Kaburlasos
2020 Misc conf
Forward Kinematic Analysis of JACO
SoftCOM
Theodore P. Pachidis, Christos Sgouros, Vassilis G. Kaburlasos, Eleni Vrochidou, Theofanis Kalampokas, Konstantinos Tziridis, Alexandros Nikolaou, George A. Papakostas
2020 Misc conf
Head Pose Estimation Using Lattice Computing Techniques.
SoftCOM
Vassilis G. Kaburlasos, Chris Lytridis, Christos Bazinas, Stamatis Chatzistamatis, Kalliopi Sotiropoulou, Aouatif Najoua, Mohamed Youssfi, Omar Bouattane
2020 — conf
Identifying the Technological Needs for Developing a Grapes Harvesting Robot: Operations and Systems.
HAICTA
Eleni Vrochidou, Theodore P. Pachidis, Michail Manios, George A. Papakostas, Vassilis G. Kaburlasos, Serafeim Theocharis, Stefanos Koundouras, Katerina Karabatea, Elizabeth Bouloumpasi, Stavros Pavlidis, Spyridon Mamalis, Theodora Merou
2020 — conf
Navigation Route Mapping for Harvesting Robots in Vineyards Using UAV-based Remote Sensing.
IEEE Conf. on Intelligent Systems
Eftichia Badeka, Eleni Vrochidou, Konstantinos Tziridis, Alexander Nicolaou, George A. Papakostas, Theodore P. Pachidis, Vassilis G. Kaburlasos
2020 C conf
Real-time vineyard trunk detection for a grapes harvesting robot via deep learning.
ICMV
Eleni Vrochidou, George A. Papakostas, Vassilis G. Kaburlasos
2020 Misc conf
Robot-Assisted Autism Spectrum Disorder (ASD) Interventions: A Multi-Robot Approach.
SoftCOM
Chris Lytridis, Cristina I. Papadopoulou, George A. Papakostas, Vassilis G. Kaburlasos, Vasiliki-Aliki Nikopoulou, Maria Dialechti Kerasidou, Nikolaos Dalivigkas
2020 C conf
Semantic Segmentation of Vineyard Images Using Convolutional Neural Networks.
EANN
Theofanis Kalampokas, Konstantinos Tziridis, Alexandros Nikolaou, Eleni Vrochidou, George A. Papakostas, Theodore P. Pachidis, Vassilis G. Kaburlasos
2020 — conf
Synergy of Intelligent Algorithms for Efficient Child-Robot Interaction in Special Education: A Feasibility Study.
RiE
George K. Sidiropoulos, Christos Bazinas, Chris Lytridis, George A. Papakostas, Vassilis G. Kaburlasos, Petros Kechayas, Efi Kourampa, Sotirianna Rafaela Katsi, Charalambos Karatsioras
2020 — conf
Teaching Daily Life Skills in Autism Spectrum Disorder (ASD) Interventions Using the Social Robot Pepper.
RiE
Rafaela Efstratiou, Charalambos Karatsioras, Maria Papadopoulou, Cristina I. Papadopoulou, Chris Lytridis, Christos Bazinas, George A. Papakostas, Vassilis G. Kaburlasos
2020 — conf
The Lattice Computing (LC) Paradigm.
CLA
Vassilis G. Kaburlasos
2020 B conf
Toward Big Data Manipulation for Grape Harvest Time Prediction by Intervals' Numbers Techniques.
IJCNN
Vassilis G. Kaburlasos, Eleni Vrochidou, Chris Lytridis, George A. Papakostas, Theodore P. Pachidis, Michail Manios, Spyridon Mamalis, Theodora Merou, Stefanos Koundouras, Serafeim Theocharis, George Siavalas, Christos Sgouros, P. Kyriakidis
2019 J jnl
A Decision Making Approach with Linguistic Weight and Unavoidable Incomparable Ranking.
Int. J. Comput. Intell. Syst.
Yunxia Zhang, Degen Huang, Wei Gao, Vassilis G. Kaburlasos
2019 — conf
Audio Signal Recognition Based on Intervals' Numbers (INs) Classification Techniques.
IISA
Chris Lytridis, Eleni Vrochidou, George K. Sidiropoulos, George A. Papakostas, Vassilis G. Kaburlasos, Efi Kourampa, Elpida Karageorgiou
2019 J jnl
Machine Vision Systems in Precision Agriculture for Crop Farming.
J. Imaging
Efthimia Mavridou, Eleni Vrochidou, George A. Papakostas, Theodore P. Pachidis, Vassilis G. Kaburlasos
2019 — conf
On Measuring Engagement Level During Child-Robot Interaction in Education.
RiE
Chris Lytridis, Christos Bazinas, George A. Papakostas, Vassilis G. Kaburlasos
2019 Misc conf
Social Robots as Cyber-Physical Actors in Entertainment and Education.
SoftCOM
Chris Lytridis, Christos Bazinas, Vassilis G. Kaburlasos, Violina Vassileva-Aleksandrova, Mohamed Youssfi, Mohammed Mestari, Vassilios Ferelis, Alexander Jaki
2019 B conf
Time Series Classification in Cyber-Physical System Applications by Intervals' Numbers Techniques.
FUZZ-IEEE
Vassilis G. Kaburlasos, Eleni Vrochidou, Fotios Panagiotopoulos, Charalampos AN. itsidis, Alexander Jaki
2019 B conf
Toward Robot-Assisted Psychosocial Intervention for Children with Autism Spectrum Disorder (ASD).
ICSR
Vasiliki Holeva, Vasiliki-Aliki Nikopoulou, Maria Papadopoulou, Eleni Vrochidou, George A. Papakostas, Vassilis G. Kaburlasos
2018 Misc conf
Identifying Needs of Robotic and Technological Solutions for the Classroom.
SoftCOM
Snezhana Kostova, Maya Dimitrova, Vassilis G. Kaburlasos, Eleni Vrochidou, George A. Papakostas, Theodore P. Pachidis, Svetoslava Saeva, Mirjana Bonkovic, Stanko Kruzic, Tea Marasovic, Josip Music, Vladan Papic, Milen Zamfirov
2018 B conf
Modeling in Cyber-Physical Systems by Lattice Computing Techniques: The Case of Image Watermarking Based on Intervals' Numbers.
FUZZ-IEEE
George A. Papakostas, Vassilis G. Kaburlasos
2018 C conf
Multi-robot engagement in special education: A preliminary study in autism.
ICCE
Vassilis G. Kaburlasos, Christina Dardani, Maya Dimitrova, Angelos Amanatiadis
2018 — conf
Social Engagement Interaction Games Between Children with Autism and Humanoid Robot NAO.
SOCO-CISIS-ICEUTE
Chris Lytridis, Eleni Vrochidou, Stamatis Chatzistamatis, Vassilis G. Kaburlasos
2017 — conf
Interactive social robots in special education.
ICCE-Berlin
Angelos Amanatiadis, Vassilis G. Kaburlasos, Christina Dardani, Savvas A. Chatzichristofis
2015 J jnl
A lattice computing approach to Alzheimer's disease computer assisted diagnosis based on MRI data.
Neurocomputing
George A. Papakostas, Alexandre Savio, Manuel Graña, Vassilis G. Kaburlasos
2015 J jnl
Learning Distributions of Image Features by Interactive Fuzzy Lattice Reasoning in Pattern Recognition Applications.
IEEE Comput. Intell. Mag.
Vassilis G. Kaburlasos, George A. Papakostas
2015 B conf
Linguistic Fuzzy Cognitive Map (LFCM) for pattern recognition.
FUZZ-IEEE
George A. Papakostas, Elpiniki I. Papageorgiou, Vassilis G. Kaburlasos
2014 J jnl
A Lattice-Computing ensemble for reasoning based on formal fusion of disparate data types, and an industrial dispensing application.
Inf. Fusion
Vassilis G. Kaburlasos, Theodore P. Pachidis
2014 — conf
A proposal of Texture Features for interactive CTA Segmentation by Active Learning.
InMed
Josu Maiora, George A. Papakostas, Vassilis G. Kaburlasos, Manuel Graña
2014 B conf
FCknn: A granular knn classifier based on formal concepts.
FUZZ-IEEE
Vassilis G. Kaburlasos, Vassilis Tsoukalas, Lefteris Moussiades
2014 J jnl
Fuzzy Inference System (FIS) Extensions Based on the Lattice Theory.
IEEE Trans. Fuzzy Syst.
Vassilis G. Kaburlasos, Athanasios Kehagias
2014 B conf
Lattice computing (LC) meta-representation for pattern classification.
FUZZ-IEEE
George A. Papakostas, Vassilis G. Kaburlasos
2014 J jnl
Two Fuzzy Lattice Reasoning (FLR) Classifiers and their Application for Human Facial Expression Recognition.
J. Multiple Valued Log. Soft Comput.
Stelios E. Papadakis, Vassilis G. Kaburlasos, George A. Papakostas
2014 J jnl
gsaINknn: A GSA optimized, lattice computing knn classifier.
Eng. Appl. Artif. Intell.
Yazdan Jamshidi, Vassilis G. Kaburlasos
2013 — conf
A granular, parametric KNN classifier.
Panhellenic Conference on Informatics
Vassilis Tsoukalas, Vassilis G. Kaburlasos, Christos Skourlas
2013 J jnl
Distance and similarity measures between intuitionistic fuzzy sets: A comparative analysis from a pattern recognition point of view.
Pattern Recognit. Lett.
George A. Papakostas, Anestis G. Hatzimichailidis, Vassilis G. Kaburlasos
2013 B conf
Intervals' Numbers (INs) interpolation/extrapolation.
FUZZ-IEEE
Vassilis G. Kaburlasos, George A. Papakostas, Theodore P. Pachidis, Alex Athinellis
2013 J jnl
Lattice Computing Extension of the FAM Neural Classifier for Human Facial Expression Recognition.
IEEE Trans. Neural Networks Learn. Syst.
Vassilis G. Kaburlasos, Stelios E. Papadakis, George A. Papakostas
2013 B conf
Thermal infrared face recognition based on lattice computing (LC) techniques.
FUZZ-IEEE
George A. Papakostas, Vassilis G. Kaburlasos, Theodore P. Pachidis
2012 J jnl
A novel distance measure of intuitionistic fuzzy sets and its application to pattern recognition problems.
Int. J. Intell. Syst.
Anestis G. Hatzimichailidis, George A. Papakostas, Vassilis G. Kaburlasos
2012 J jnl
Binary Image 2D Shape Learning and Recognition Based on Lattice-Computing (LC) Techniques.
J. Math. Imaging Vis.
Vassilis G. Kaburlasos, Stelios E. Papadakis, Angelos Amanatiadis
2012 — conf
Fuzzy Lattice Reasoning (FLR) Extensions to Lattice-Valued Logic.
Panhellenic Conference on Informatics
Vassilis G. Kaburlasos
2012 B conf
Person Identification Based on Lattice Computing k-Nearest-Neighbor Fingerprint Classification.
KES
Theodore P. Pachidis, Vassilis G. Kaburlasos
2011 J jnl
Special issue: Information engineering applications based on lattices.
Inf. Sci.
Vassilis G. Kaburlasos
2010 — conf
2-D Shape Representation and Recognition by Lattice Computing Techniques.
HAIS (2)
Vassilis G. Kaburlasos, Angelos Amanatiadis, Stelios E. Papadakis
2010 — conf
Granular Fuzzy Inference System (FIS) Design by Lattice Computing.
HAIS (2)
Vassilis G. Kaburlasos
2010 J jnl
Piecewise-linear approximation of non-linear models based on probabilistically/possibilistically interpreted intervals' numbers (INs).
Inf. Sci.
Stelios E. Papadakis, Vassilis G. Kaburlasos
2009 J jnl
A granular extension of the fuzzy-ARTMAP (FAM) neural classifier based on fuzzy lattice reasoning (FLR).
Neurocomputing
Vassilis G. Kaburlasos, Stelios E. Papadakis
2009 J jnl
Fuzzy lattice reasoning (FLR) type neural computation for weighted graph partitioning.
Neurocomputing
Vassilis G. Kaburlasos, Lefteris Moussiades, Athena Vakali
2009 — ch.
Neural/Fuzzy Computing Based on Lattice Theory.
Encyclopedia of Artificial Intelligence
Vassilis G. Kaburlasos
2008 J jnl
Personalized multi-student improvement based on Bayesian cybernetics.
Comput. Educ.
Vassilis G. Kaburlasos, Catherine Marinagi, Vassilis Tsoukalas
2007 — book
Computational Intelligence Based on Lattice Theory
Vassilis G. Kaburlasos, Gerhard X. Ritter
2007 — conf
Fuzzy Interval Number (FIN) Techniques for Multilingual and Cross Language Information Retrieval.
ICEIS (2)
Theodoros Alevizos, Vassilis G. Kaburlasos, Stelios E. Papadakis, Christos Skourlas, Petros Belsis
2007 J jnl
Fuzzy lattice reasoning (FLR) classifier and its application for ambient ozone estimation.
Int. J. Approx. Reason.
Vassilis G. Kaburlasos, Ioannis N. Athanasiadis, Pericles A. Mitkas
2007 — ch.
Granular Enhancement of Fuzzy ART/SOM Neural Classifiers Based on Lattice Theory.
Computational Intelligence Based on Lattice Theory
Vassilis G. Kaburlasos
2007 J jnl
Novel Fuzzy Inference System (FIS) Analysis and Design Based on Lattice Theory.
IEEE Trans. Fuzzy Syst.
Vassilis G. Kaburlasos, Athanasios Kehagias
2007 Misc conf
Unified Analysis and Design of ART/SOM Neural Networks and Fuzzy Inference Systems Based on Lattice Theory.
IWANN
Vassilis G. Kaburlasos
2006 B conf
Air Quality Assessment Using Fuzzy Lattice Reasoning (FLR).
FUZZ-IEEE
Ioannis N. Athanasiadis, Vassilis G. Kaburlasos
2006 B conf
An Implication in Fuzzy Sets.
FUZZ-IEEE
Anestis G. Hatzimichailidis, Vassilis G. Kaburlasos, Basil K. Papadopoulos
2006 — conf
Fuzzy Interval Number (FIN) Techniques for Cross Language Information Retrieval.
ICEIS (2)
Catherine Marinagi, Theodoros Alevizos, Vassilis G. Kaburlasos, Christos Skourlas
2006 B conf
Granular Auto-regressive Moving Average (grARMA) Model for Predicting a Distribution from Other Distributions. Real-world Applications.
FUZZ-IEEE
Vassilis G. Kaburlasos, Achilleas Christoforidis
2006 J jnl
Granular self-organizing map (grSOM) for structure identification.
Neural Networks
Vassilis G. Kaburlasos, Stelios E. Papadakis
2006 J jnl
Novel fuzzy inference system (FIS) analysis and design based on lattice theory. Part I: Working principles.
Int. J. Gen. Syst.
Vassilis G. Kaburlasos, Athanasios Kehagias
2005 J jnl
A Genetic Based Approach to the Type I Structure Identification Problem.
Informatica
Stelios E. Papadakis, Panagiotis Tzionas, Vassilis G. Kaburlasos, John B. Theocharis
2004 J jnl
FINs: lattice theoretic tools for improving prediction of sugar production from populations of measurements.
IEEE Trans. Syst. Man Cybern. Part B
Vassilis G. Kaburlasos
2004 B conf
Novel analysis and design of fuzzy inference systems based on lattice theory.
FUZZ-IEEE
Vassilis G. Kaburlasos, Athanasios Kehagias
2004 B conf
PARES: A Software Tool for Computer-Based Testing and Evaluation Used in the Greek Higher Education System.
ICALT
Vassilis G. Kaburlasos, Catherine Marinagi, Vassilis Tsoukalas
2004 B conf
grSOM: a granular extension of the self-organizing map for structure identification applications.
FUZZ-IEEE
Vassilis G. Kaburlasos, Stylianos E. Papadakis
2003 J jnl
A Comparison of Word- and Sense-Based Text Categorization Using Several Classification Algorithms.
J. Intell. Inf. Syst.
Athanasios Kehagias, Vassilios Petridis, Vassilis G. Kaburlasos, Pavlina Fragkou
2003 B conf
A genetically optimized ensemble of is σ-FLNMAP neural classifiers based on non-parametric probability distribution functions.
IJCNN
Vassilis G. Kaburlasos, Stylianos E. Papadakis, Spyros Kazarlis
2003 J jnl
ACES: an interactive software platform for self-instruction and self-evaluation in automatic control systems.
IEEE Trans. Educ.
Vassilios Petridis, Spiridon A. Kazarlis, Vassilis G. Kaburlasos
2003 J jnl
FINkNN: A Fuzzy Interval Number k-Nearest Neighbor Classifier for Prediction of Sugar Production from Populations of Samples.
J. Mach. Learn. Res.
Vassilios Petridis, Vassilis G. Kaburlasos
2003 — conf
Improved Experimental Results Using Fuzzy Lattice Neurocomputing (FLN) Classifiers.
MLMTA
Al Cripps, Vassilis G. Kaburlasos, Nghiep Nguyen, Stelios E. Papadakis
2003 B conf
Improved fuzzy lattice neurocomputing (FLN) for semantic neural computing.
IJCNN
Vassilis G. Kaburlasos
2003 B conf
Three improved fuzzy lattice neurocomputing (FLN) classifiers.
IJCNN
Al Cripps, Nghiep Nguyen, Vassilis G. Kaburlasos
2002 J jnl
Intelligent clustering techniques for prediction of sugar production.
Math. Comput. Simul.
Vassilis G. Kaburlasos, Vasilis A. Spais, Vassilios Petridis, Loukas Petrou, Spiridon A. Kazarlis, N. Maslaris, A. Kallinakis
2001 J jnl
Clustering and Classification in Structured Data Domains Using Fuzzy Lattice Neurocomputing (FLN).
IEEE Trans. Knowl. Data Eng.
Vassilios Petridis, Vassilis G. Kaburlasos
2000 J jnl
Fuzzy Lattice Neurocomputing (FLN) models.
Neural Networks
Vassilis G. Kaburlasos, Vassilios Petridis
1999 J jnl
Estimation of the stapes-bone thickness in the stapedotomy surgical procedure using a machine-learning technique.
IEEE Trans. Inf. Technol. Biomed.
Vassilis G. Kaburlasos, Vassilios Petridis, Peter N. Brett, Dave A. Baker
1999 J jnl
Learning in the framework of fuzzy lattices.
IEEE Trans. Fuzzy Syst.
Vassilios Petridis, Vassilis G. Kaburlasos
1998 J jnl
Fuzzy lattice neural network (FLNN): a hybrid model for learning.
IEEE Trans. Neural Networks
Vassilios Petridis, Vassilis G. Kaburlasos
1998 A* conf
Learning a Linear Association of Drilling Profiles in Stapedotomy Surgery.
ICRA
Vassilis G. Kaburlasos, Vassilios Petridis, Peter N. Brett, Dave A. Baker
1992 J jnl
Generalization Capabilities of Subtle Image Pattern Classifiers.
IEEE Trans. Knowl. Data Eng.
Dwight D. Egbert, Philip H. Goodman, Vassilis G. Kaburlasos, John H. Witchey
1990 B conf
Neural network discrimination of subtle image patterns.
IJCNN
Dwight D. Egbert, Vassilis G. Kaburlasos, Philip H. Goodman
1989 B conf
A plastic self-adaptive learning machine for pattern recognition.
SMC
Vassilis G. Kaburlasos, Edgar C. Tacker, Dwight D. Egbert
1989 B conf
Invariant feature extraction for neurocomputer analysis of biomedical images.
CBMS
Dwight D. Egbert, Vassilis G. Kaburlasos, Philip H. Goodman