Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends

被引：88

作者：

Gorriz, J. M. ^{[1
,2
,3
]}

Avarez-Illan, I. ^{[1
,2
]}

Avarez-Marquina, A. ^{[27
]}

Arco, J. E. ^{[1
,2
,4
]}

Atzmueller, M. ^{[6
,7
]}

Ballarini, F. ^{[17
]}

Barakova, E. ^{[18
]}

Bologna, G. ^{[43
]}

Bonomini, P. ^{[8
,15
,16
,17
,33
]}

Castellanos-Dominguez, G. ^{[42
]}

Castillo-Barnes, D. ^{[1
,44
]}

Cho, S. B. ^{[49
]}

Contreras, R. ^{[21
]}

Cuadra, J. M. ^{[24
]}

Dominguez, E. ^{[19
]}

Dominguez-Mateos, F. ^{[26
]}

Duro, R. J. ^{[13
]}

Elizondo, D. ^{[20
]}

Fernandez-Caballero, A. ^{[22
,28
]}

Fernandez-Jover, E. ^{[30
]}

Formoso, M. A. ^{[2
,4
]}

Gallego-Molina, N. J. ^{[2
,4
]}

Gamazo, J. ^{[24
]}

Gonzalez, J. Garcia ^{[19
]}

Garcia-Rodriguez, J. ^{[31
]}

Garre, C. ^{[26
]}

Garrigos, J. ^{[8
]}

Gomez-Rodellar, A. ^{[27
,29
]}

Gomez-Vilda, P. ^{[26
,27
]}

Grana, M. ^{[44
]}

Guerrero-Rodriguez, B. ^{[32
]}

Hendrikse, S. C. F. ^{[50
]}

Jimenez-Mesa, C. ^{[1
,2
]}

Jodra-Chuan, M. ^{[35
,36
]}

Julian, V. ^{[9
]}

Kotz, G. ^{[23
]}

Kutt, K. ^{[10
,11
]}

Leming, M. ^{[48
]}

de Lope, J. ^{[45
]}

Macas, B. ^{[8
,15
,16
]}

Marrero-Aguiar, V. ^{[38
]}

Martinez, J. J. ^{[8
]}

Martinez-Murcia, F. J. ^{[1
,2
]}

Martinez-Tomas, R. ^{[24
]}

Mekyska, J. ^{[34
]}

Nalepa, G. J. ^{[10
,11
]}

Novais, P. ^{[37
]}

Orellana, D. ^{[39
]}

Ortiz, A. ^{[1
,2
]}

Palacios-Alonso, D. ^{[26
,27
]}

机构：

[1] Univ Granada, Data Sci & Computat Intelligence Inst, SiPBA, Granada, Spain

[2] Univ Granada, Data Sci & Computat Intelligence Inst DaSCII, Granada, Spain

[3] Univ Cambridge, Dept Psychiat, Cambridge, England

[4] Univ Malaga, Dept Commun Engn, Malaga, Spain

[5] Univ Leicester, Sch Comp & Math Sci, Leicester, Leics, England

[6] Univ Osnabruck, Semant Informat Syst Grp, Osnabruck, Germany

[7] German Res Ctr AI DFKI, Osnabruck, Germany

[8] Univ Politecn Cartagena, Dept Elect Comp Technol & Projects, Cartagena, Spain

[9] Univ Politecn Valencia, Valencian Res Inst AI VRAIN, Valencia, Spain

[10] Jagiellonian Univ, Jagiellonian Human Ctr AI Lab JAHCAI, Krakow, Poland

[11] Jagiellonian Univ, Inst Appl Comp Sci, Krakow, Poland

[12] Univ Murcia, Dept Informat & Commun Engn, Murcia, Spain

[13] Univ A Coruna, Dept Comp Sci & Informat Technol, Ctr Informat & Commun Technol Res CITIC, La Coruna, Spain

[14] Univ Oviedo, Dept Comp Sci, Oviedo, Spain

[15] Inst Argentino Matemat Alberto Calderon, Buenos Aires, DF, Argentina

[16] Consejo Nacl Invest Cient & Tecn CONICET, Buenos Aires, DF, Argentina

[17] Inst Tecnol Buenos Aires ITBA, Buenos Aires, DF, Argentina

[18] Eindhoven Univ Technol, NL-5612 AZ Eindhoven, Netherlands

[19] Univ Malaga, Dept Comp Sci, Malaga, Spain

[20] De Montfort Univ, Leicester, Leics, England

[21] Univ Concepcion, Dept Comp Sci, Fac Engn, Concepcion, Chile

[22] Univ Castilla La Mancha, Albacete Res Inst Informat, Neurocognit & Emot Res Unit, Albacete, Spain

[23] Univ Concepcion, Dept Educ Informat, Concepcion, Chile

[24] Univ Nacl Educac Distancia UNED, Dept AI, Madrid, Spain

[25] Univ Naples Federico II, Dept Humanist Studies, Naples, Italy

[26] Univ Rey Juan Carlos, Escuela Tecn Super Ingn Informat, Campus Mostoles, Madrid 28933, Spain

[27] Univ Politecn Madrid, Neuromorph Speech Proc Lab, Ctr Biomed Technol, Campus Montegancedo, Madrid 28223, Spain

[28] Inst Salud Carlos III, Biomed Res Networking Ctr Mental Hlth, Madrid 28016, Spain

[29] Univ Edinburgh, Usher Inst, Fac Med, Edinburgh, Midlothian, Scotland

[30] Univ Miguel Hernandez, Inst Bioingn, Alicante, Spain

[31] Univ Alicante, Dept Comp Technol, Alicante, Spain

[32] Univ Cent Ecuador, Quito, Ecuador

[33] Univ Buenos Aires, Inst Ingn Biomed, Fac Ingn, Buenos Aires, DF, Argentina

[34] Brno Univ Technol, Dept Telecommun, Brno 61600, Czech Republic

[35] Univ Complutense Madrid, Dept Personal Assessment & Clin Psychol, Fac Educ, Madrid 28040, Spain

[36] Asociac Nuevo Horizonte, La Rozas De Madrid 28231, Spain

[37] Univ Minho, ALGORITMI Res Ctr LASI, Braga, Portugal

[38] Univ Nacl Educ Distancia UNED, Fac Filol, Madrid, Spain

[39] Univ Nacl Loja, Fac Energia, Loja, Ecuador

[40] Polytech Inst Leiria, Sch Technol & Management, Comp Sci & Commun Res Ctr, Leiria, Portugal

[41] Univ Westminster, London, England

[42] Univ Nacl Colombia, Signal Proc & Recognit Grp, Manizales 170003, Colombia

[43] Univ Appl Sci & Arts Western Switzerland, Geneva, Switzerland

[44] Univ Basque Country UPV EHU, Dept CCIA, Bilbao, Bizkaia, Spain

[45] Univ Politecn Madrid, Dept AI, Campus Montegancedo, Madrid 28660, Spain

[46] Univ Mayor San Andres, La Paz, Bolivia

[47] Univ Novi Sad, Novi Sad 21102, Serbia

[48] Massachusetts Gen Hosp, Ctr Syst Biol, Boston, MA USA

[49] Yonsei Univ, Dept Comp Sci, Seoul, South Korea

[50] Vrije Univ Amsterdam, Dept Clin Psychol, Amsterdam, Netherlands

来源：

INFORMATION FUSION | 2023年 / 100卷

关键词：

Explainable Artificial Intelligence; Data science; Computational approaches; Machine learning; Deep learning; Neuroscience; Robotics; Biomedical applications; Computer-aided diagnosis systems; MILD COGNITIVE IMPAIRMENT; PHYSICAL-ACTIVITY; NEURAL-NETWORKS; DEEP; FRAMEWORK; AUTISM; MAINTENANCE; PLASTICITY; SYNCHRONY; DIAGNOSIS;

D O I：

10.1016/j.inffus.2023.101945

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Deep Learning (DL), a groundbreaking branch of Machine Learning (ML), has emerged as a driving force in both theoretical and applied Artificial Intelligence (AI). DL algorithms, rooted in complex and non-linear artificial neural systems, excel at extracting high-level features from data. DL has demonstrated human -level performance in real-world tasks, including clinical diagnostics, and has unlocked solutions to previously intractable problems in virtual agent design, robotics, genomics, neuroimaging, computer vision, and industrial automation. In this paper, the most relevant advances from the last few years in Artificial Intelligence (AI) and several applications to neuroscience, neuroimaging, computer vision, and robotics are presented, reviewed and discussed. In this way, we summarize the state-of-the-art in AI methods, models and applications within a collection of works presented at the 9th International Conference on the Interplay between Natural and Artificial Computation (IWINAC). The works presented in this paper are excellent examples of new scientific discoveries made in laboratories that have successfully transitioned to real-life applications.

引用

页数：37

共 312 条

[1]

Ainsworth M.D. S., 2015, Patterns of attachment: A psychological study of the strange situation, P1, DOI DOI 10.4324/9780203758045

[2]

Ainsworth M.D. S., 1967, INFANCY UGANDA INFAN

[3] AN ETHOLOGICAL APPROACH TO PERSONALITY-DEVELOPMENT [J].

AINSWORTH, MDS ;

BOWLBY, J .

AMERICAN PSYCHOLOGIST, 1991, 46 (04) :333-341

[4]

Ajagbe SA., 2021, INT J ADV COMPUT RES, V11, P51, DOI [DOI 10.19101/IJACR.2021.1152001, 10.19101/ijacr.2021.1152001]

[5] The Effect of Breathing Maneuvers on the Interaction Between Pulse Fluctuation and Heart Rate Variability [J].

Alberto Posteguillo, Nicolas ;

Paula Bonomini, Maria .

ARTIFICIAL INTELLIGENCE IN NEUROSCIENCE: AFFECTIVE ANALYSIS AND HEALTH APPLICATIONS, PT I, 2022, 13258 :369-379

[6] Deep Reinforcement Learning in Agents' Training: Unity ML-Agents [J].

Almon-Manzano, Laura ;

Pastor-Vargas, Rafael ;

Troncoso, Jose Manuel Cuadra .

BIO-INSPIRED SYSTEMS AND APPLICATIONS: FROM ROBOTICS TO AMBIENT INTELLIGENCE, PT II, 2022, 13259 :391-400

[7] Identification of Parkinson's Disease from Speech Using CNNs and Formant Measures [J].

Alvarez-Marquina, Agustin ;

Gomez-Rodellar, Andres ;

Gomez-Vilda, Pedro ;

Palacios-Alonso, Daniel ;

Diaz-Perez, Francisco .

ARTIFICIAL INTELLIGENCE IN NEUROSCIENCE: AFFECTIVE ANALYSIS AND HEALTH APPLICATIONS, PT I, 2022, 13258 :332-342

[8] A novel methodology for automated differential diagnosis of mild cognitive impairment and the Alzheimer's disease using EEG signals [J].

Amezquita-Sanchez, Juan P. ;

Mammone, Nadia ;

Morabito, Francesco C. ;

Marino, Silvia ;

Adeli, Hojjat .

JOURNAL OF NEUROSCIENCE METHODS, 2019, 322 :88-95

[9] Survey and critique of techniques for extracting rules from trained artificial neural networks [J].

Andrews, R ;

Diederich, J ;

Tickle, AB .

KNOWLEDGE-BASED SYSTEMS, 1995, 8 (06) :373-389

[10] Explainable artificial intelligence: an analytical review [J].

Angelov, Plamen P. ;

Soares, Eduardo A. ;

Jiang, Richard ;

Arnold, Nicholas I. ;

Atkinson, Peter M. .

WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY, 2021, 11 (05)

← 1 2 3 4 5 6 7 8 9 10 →