Luca Longo | Academic Influence

Luca Longo's AcademicInfluence.com Rankings

Luca Longo

Computer Science

#11594

World Rank

#12301

Historical Rank

Machine Learning

#5405

World Rank

#5476

Historical Rank

Artificial Intelligence

#5803

World Rank

#5891

Historical Rank

Database

#8880

World Rank

#9333

Historical Rank

computer-science Degrees

Download Badge

Computer Science

Luca Longo's Degrees

PhD Computer Science Stanford University
Masters Computer Science University of California, Berkeley
Bachelors Computer Science University of California, Berkeley

Similar Degrees You Can Earn

Why Is Luca Longo Influential?

(Suggest an Edit or Addition)

According to Wikipedia, Luca Longo is an Italian computer scientist specializing in Explainable artificial intelligence, Deep Learning and Argumentation theory with research in the areas of Human performance modeling. As the founder and general chair of the World Conference on Explainable artificial intelligence, he performs fundamental research in the area of computational models of Cognitive Load and is the editor of books and journals with Springer Publishing and Frontiers Media . He is a public speaker disseminating technical knowledge to the wider public and contributing to the non-profit organization TED "ideas worth spreading" .

(See a Problem?)

Luca Longo's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Explainable Artificial Intelligence: a Systematic Review (2020) (133)
Notions of explainability and evaluation approaches for explainable artificial intelligence (2021) (96)
A defeasible reasoning framework for human mental workload representation and assessment (2015) (76)
Explainable Artificial Intelligence: Concepts, Applications, Research Challenges and Visions (2020) (67)
Assessment of Mental Workload: A Comparison of Machine Learning Methods and Subjective Assessment Techniques (2017) (61)
Experienced mental workload, perception of usability, their interaction and impact on task performance (2018) (60)
Modeling Mental Workload Via Rule-Based Expert System: A Comparison with NASA-TLX and Workload Profile (2016) (57)
Formalising Human Mental Workload as a Defeasible Computational Concept (2014) (52)
Argumentation Theory for Decision Support in Health-Care: A Comparison with Machine Learning (2013) (41)
A novel methodology for evaluating user interfaces in health care (2011) (40)
The Evolution of Cognitive Load Theory and the Measurement of Its Intrinsic, Extraneous and Germane Loads: A Review (2018) (40)
The Importance of Human Mental Workload in Web Design (2012) (38)
Mental Workload in Medicine: Foundations, Applications, Open Problems, Challenges and Future Perspectives (2016) (36)
Argumentation theory in health care (2012) (33)
Temporal factors to evaluate trustworthiness of virtual identities (2007) (33)
Representing and Inferring Mental Workload via Defeasible Reasoning: A Comparison with the NASA Task Load Index and the Workload Profile (2017) (32)
A Translation Mechanism for Recommendations (2008) (32)
On the Relationship between Perception of Usability and Subjective Mental Workload of Web Interfaces (2015) (32)
Subjective Usability, Mental Workload Assessments and Their Impact on Objective Human Performance (2017) (32)
Human-Computer Interaction and Human Mental Workload: Assessing Cognitive Engagement in the World Wide Web (2011) (31)
Human Mental Workload: Models and Applications (2017) (31)
Designing Medical Interactive Systems Via Assessment of Human Mental Workload (2015) (30)
Defeasible Reasoning and Argument-Based Systems in Medical Fields: An Informal Overview (2014) (30)
Formalising human mental workload as non-monotonic concept for adaptive and personalised web-design (2012) (30)
Argumentation for Knowledge Representation, Conflict Resolution, Defeasible Inference and Its Integration with Machine Learning (2016) (29)
Trust-Based Techniques for Collective Intelligence in Social Search Systems (2011) (28)
A Computational Analysis of Cognitive Effort (2010) (27)
Classification of Explainable Artificial Intelligence Methods through Their Output Formats (2021) (26)
Enhancing Social Search: A Computational Collective Intelligence Model of Behavioural Traits, Trust and Time (2010) (26)
Toward Social Search - From Explicit to Implicit Collaboration to Predict Users' Interests (2009) (25)
On the Reliability, Validity and Sensitivity of Three Mental Workload Assessment Techniques for the Evaluation of Instructional Designs: A Case Study in a Third-level Course (2018) (23)
Inferential Models of Mental Workload with Defeasible Argumentation and Non-monotonic Fuzzy Reasoning: a Comparative Study (2018) (19)
Information Foraging Theory as a Form of Collective Intelligence for Social Search (2009) (18)
Computing Trust as a Form of Presumptive Reasoning (2014) (17)
An empirical evaluation of the inferential capacity of defeasible argumentation, non-monotonic fuzzy reasoning and expert systems (2020) (15)
Cognitive Effort for Multi-agent Systems (2010) (15)
Human Mental Workload: Models and Applications (2018) (14)
Estimation of Train Driver Workload: Extracting Taskload Measures from On-Train-Data-Recorders (2017) (13)
An Investigation of the Impact of a Social Constructivist Teaching Approach, based on Trigger Questions, Through Measures of Mental Workload and Efficiency (2018) (13)
An Investigation of Argumentation Theory for the Prediction of Survival in Elderly Using Biomarkers (2018) (13)
Towards Dynamic Interaction-Based Reputation Models (2018) (11)
A Qualitative Investigation of the Degree of Explainability of Defeasible Argumentation and Non-monotonic Fuzzy Reasoning (2018) (10)
An Evaluation of the Reliability, Validity and Sensitivity of Three Human Mental Workload Measures Under Different Instructional Conditions in Third-Level Education (2018) (10)
Direct Instruction and Its Extension with a Community of Inquiry: A Comparison of Mental Workload, Performance and Efficiency (2019) (9)
On the Mental Workload Assessment of Uplift Mapping Representations in Linked Data (2018) (9)
A comparative analysis of rule-based, model-agnostic methods for explainable artificial intelligence (2020) (8)
Analysing the Impact of Machine Learning to Model Subjective Mental Workload: A Case Study in Third-Level Education (2018) (8)
An Evaluation of the EEG Alpha-to-Theta and Theta-to-Alpha Band Ratios as Indexes of Mental Workload (2022) (8)
A Comparative Study of Defeasible Argumentation and Non-monotonic Fuzzy Reasoning for Elderly Survival Prediction Using Biomarkers (2018) (8)
Human Mental Workload: A Survey and a Novel Inclusive Definition (2022) (8)
Is Neuro-Symbolic AI Meeting its Promise in Natural Language Processing? A Structured Review (2022) (7)
Expressing Trust with Temporal Frequency of User Interaction in Online Communities (2019) (7)
Examining the modelling capabilities of defeasible argumentation and non-monotonic fuzzy reasoning (2021) (6)
Empowering Qualitative Research Methods in Education with Artificial Intelligence (2019) (6)
A Qualitative Investigation of the Explainability of Defeasible Argumentation and Non-Monotonic Fuzzy Reasoning (2018) (6)
A Quantitative Evaluation of Global, Rule-Based Explanations of Post-Hoc, Model Agnostic Methods (2021) (5)
Modeling Cognitive Load as a Self-Supervised Brain Rate with Electroencephalography and Deep Learning (2022) (5)
Direct and Constructivist Instructional Design: A Comparison of Efficiency Using Mental Workload and Task Performance (2020) (4)
MENTAL WORKLOAD (2021) (4)
Self-reported data for mental workload modelling in human-computer interaction and third-level education (2020) (4)
Evaluating instructional designs with mental workload assessments in university classrooms (2020) (4)
On the Minimal Amount of EEG Data Required for Learning Distinctive Human Features for Task-Dependent Biometric Applications (2022) (3)
Task Demand Transition Peak Point Effects on Mental Workload Measures Divergence (2020) (2)
A Comparison on the Classification of Short-text Documents Using Latent Dirichlet Allocation and Formal Concept Analysis (2017) (2)
A Novel Parabolic Model of Instructional Efficiency Grounded on Ideal Mental Workload and Performance (2021) (2)
Beyond reasonable doubt: A proposal for undecidedness blocking in abstract argumentation (2020) (2)
Pseudorehearsal in Actor-Critic Agents with Neural Network Function Approximation (2017) (2)
How Short is a Piece of String? : The Impact of Text Length and Text Augmentation on Short-text Classification (2017) (2)
Examining the Size of the Latent Space of Convolutional Variational Autoencoders Trained With Spectral Topographic Maps of EEG Frequency Bands (2022) (2)
Linked Data Quality Assessment: A Survey (2021) (2)
A context-aware approach based on self-organizing maps to study web-users' tendencies from their behaviour (2009) (2)
An Investigation into the Effects of Multiple Kernel Combinations on Solutions Spaces in Support Vector Machines (2018) (1)
Exploring the potential of defeasible argumentation for quantitative inferences in real-world contexts: An assessment of computational trust (2020) (1)
Towards dynamic interaction-based model (2018) (1)
Human Mental Workload: Models and Applications: Third International Symposium, H-WORKLOAD 2019, Rome, Italy, November 14–15, 2019, Proceedings (2019) (1)
An online framework for supporting the evaluation of personalised information retrieval systems (2011) (1)
A Novel Human-Centred Evaluation Approach and an Argument-Based Method for Explainable Artificial Intelligence (2022) (1)
On the Relationship between Sampling Rate and Hidden Markov Models Accuracy in Non-Intrusive Load Monitoring (2017) (1)
Bi-LSTM-deep CNN for schizophrenia detection using MSST-spectral images of EEG signals (2022) (1)
On the Dimensionality and Utility of Convolutional Autoencoder's Latent Space Trained with Topology-Preserving Spectral EEG Head-Maps (2022) (1)
(Linked) Data Quality Assessment: An Ontological Approach (2021) (1)
LightGWAS: A Novel Machine Learning Procedure for Genome-Wide Association Study (2020) (1)
Extending R2RML to a source-independent mapping language for typed literals (2021) (0)
Subjective Mental Workload (Nasa-TLX) of third-level classes delivered at Technological University Dublin (2018) (0)
An Ontological Approach for Recommending a Feature Selection Algorithm (2022) (0)
Can an ontology really support the development of more accurate data quality assessment models? : A survey (2020) (0)
H-Workload 2018: 2nd International Symposium on Human Mental Workload: Models and Applications (2018) (0)
A Pipeline for the Diagnosis and Classification of Lung Lesions for Patients with COVID-19 (2022) (0)
ARROW@TU Dublin ARROW@TU Dublin Interrupting The Propaganda Supply Chain Interrupting The Propaganda Supply Chain (2021) (0)
Mortality risk factors in community dwelling elderly - Knowledge base (2018) (0)
SOPHIE desktop tools supporting framework development (2010) (0)
Informing Instructional Design by Cognitive Load Assessment in the Classroom. (2016) (0)
Mental workload assessment: knowledge-bases based upon the features of the original NASA Task Load Index (2018) (0)
Data Quality Assessment and Recommendation of Feature Selection Algorithms: An Ontological Approach (2023) (0)
Comparing and extending the use of defeasible argumentation with quantitative data in real-world contexts (2022) (0)
Recognising human factors in evaluating user interfaces in healthcare (2011) (0)
Interrupting the Propaganda Supply Chain (2021) (0)
Physiological Measurements for Real-Time Fatigue Monitoring in Train Drivers: Review of the State of the Art and Reframing the Problem (2021) (0)
Work It: How Mental Overload Affects Design (2017) (0)
Data Quality Assessment of Comma Separated Values Using Linked Data Approach (2021) (0)
Preface to the Special Issue on Advances in Argumentation in Artificial Intelligence (2020) (0)
Weakly Complete Semantics Based on Undecidedness Blocking (2021) (0)
Corrigendum: Human mental workload: A survey and a novel inclusive definition (2022) (0)
An XAI method for the Automatic Formation of an Abstract Argumentation Framework from a Neural Network and its Objective Evaluation (2022) (0)

This paper list is powered by the following services:

Other Resources About Luca Longo

en.wikipedia.org

What Schools Are Affiliated With Luca Longo?

Luca Longo is affiliated with the following schools: