author,year,paper,affiliation,affiliation_short,institution,country,max_loss_train,max_loss_val,access,publication_type,general_method,task,specific_method,code_software,software_name,software_access,code_availability,code_language,eval_metrics,data_size,data_distribution,data_augmentation,analysis_type,raw_mat,limitation,input_data_type,accuracy
"Abellan, N.; Baquedano, E.; Dominguez-Rodrigo, M.",2022,High-accuracy in the classification of butchery cut marks and crocodile tooth marks using machine learning methods and computer vision algorithms,"Institute of Evolution in Africa (IDEA), University of Alcala, Covarrubias 36, 28010 Madrid, Spain",Institute of Evolution in Africa,University of Alcala,Spain,0,0,restricted,paper,"ML, statistics",classification,"SVM, KNN, RF, DT, NBC, PLS, MDA, GBM, NN, CTREE, LDA, SDA, PMR, PGLM",code,NA,NA,yes,Python ,"accuracy, sensitivity, specificity, kappa_statistic",533,488; 45,width_shift; height_shift; shear_shift; zoom; horizontal_flipping ,tooth_marks;cut_marks,bones,user_bias,tabular,96
"Abellan, N.; Jimenez-Garcia, B.; Aznarte, J.; Baquedano, E.; Dominguez-Rodrigo, M.",2021,Deep learning classification of tooth scores made by different carnivores: achieving high accuracy when comparing African carnivore taxa and testing the hominin shift in the balance of power,"Institute of Evolution in Africa (IDEA), University of Alcala, Covarrubias 36, 28010 Madrid, Spain",Institute of Evolution in Africa,University of Alcala,Spain,1.1,1.3,restricted,paper,ML,classification,CNN,code,NA,NA,no,Python ,"accuracy, loss, confusion_matrix, F1-score, precision, recall, support",591,207;207;42;48,"width_shift; height_shift; shear_shift, zoom; horizontal_flipping; rotation ",tooth_marks,bones,"insufficient_sample, unbalanced_sample, equifinality",2D,65
"Arriaza, M. C.; Aramendi, J.; Mate-Gonzalez, M. A.; Yravedra, J.; Stratford, D.",2021,The hunted or the scavenged? Australopith accumulation by brown hyenas at Sterkfontein (South Africa),"Alcala University, Department of Geology, Geography and Environmental Studies, Madrid, Spain","Department  of Geology, Geography & Env. Studies ",University of Alcala,Spain,NA,NA,restricted,paper,"ML, statistics",classification,"LDA, NN, GBMAC, DT",code,NA,NA,no,R,"kappa_statistic, sensitivity, specificity, accuracy ",NA,NA,NA,tooth_marks,bones,"insufficient_sample, unbalanced_sample, equifinality",tabular,100
"Barcelo, J.A.;  Pijoan-Lopez, J.",2003,CUTTING or SCRAPPING? Using Neural Networks to distinguish kinematics in use-wear analysis.,"Facultat de Lletres Universitat Autonoma de Barcelona E-08193 Bellaterra, Spain",Faculty of Arts and Humanities,Autonomous University of Barcelona,Spain,NA,NA,restricted,conference_proceedings,ML,segmentation,NN,NA,NA,NA,NA,NA,NA,928,NA,NA,texture,flint,"material_limitation, acquisition_constraints",tabular,73
"Bonney, H.",2014,An Investigation of the Use of Discriminant Analysis for the Classification of Blade Edge Type From Cut Marks Made by Metal and Bamboo Blades,"Department of Earth Sciences, Natural History Museum, London, SW7 5BD, UK",Department of Earth Sciences,London Natural History Museum,United Kingdom,NA,NA,restricted,paper,statistics,classification,DA,software,SPSS,licenced,NA,NA,NA,35,NA,NA,cut_marks,bones,analysis_limitation,tabular,86
"Bustos-Perez, G.; Olle, A.",2023,The quantification of surface abrasion on flint stone tools,"Departamento de Prehistoria y Arqueologia, Universidad Autonoma de Madrid, Madrid, Spain",Department of Prehistory & Archaeology,Autonomous University of Barcelona,Spain,NA,NA,open,paper,"statistics, ML ",classification,"GLCM, LDA, KNN, LR, DT, RF, GBMOD, SVM, NBC",code,NA,NA,yes,R,"ROC, AUC, k_fold_cross_validation, confusion_matrix",269,42;68;68;68;23,NA,abrasion,flint,"material_limitation, acquisition_constraints",tabular,82
"Byeon, W.; Dominguez-Rodrigo, M.; Arampatzis, G.; Baquedano, E.; Yravedra, J.; Mate-Gonzalez, M. A.; Koumoutsakos, P.",2019,Automated identification and deep classification of cut marks on bones and its paleoanthropological implications,"Computational Science and Engineering Laboratory, ETH Zurich, CH-8092, Zurich, Switzerland",Comput. Science & Engineering Lab,Swiss Federal Institute of Technology,Switzerland,NA,NA,restricted,paper,ML,classification,"CNN, SVM",code,NA,NA,yes,"Python, Matlab","accuracy, specificity, sensitivity",79,42;37,NA,cut_marks;post_depositional_effects,bones,"insufficient_sample, no_reference_database",2D,91
"Cifuentes-Alcobendas, G.; Dominguez-Rodrigo, M. ",2021,More than meets the eye: use of computer vision algorithms to identify stone tool material through the analysis of cut mark micro‑morphology,"Institute of Evolution in Africa (IDEA), University of Alcala, Covarrubias 36, 28010 Madrid, Spain",Institute of Evolution in Africa,University of Alcala,Spain,0.25,0.6,open,paper,ML,classification,CNN,code,NA,NA,yes,Python ,"accuracy, loss, F1-score",574,200;182;192,"width_shift;height_shift; shear_shift, zoom; horizontal_flipping; rotation ",cut_marks,bones,"acquisition_constraints,user_bias, equifinality",2D,78
"Cifuentes-Alcobendas, G.; Dominguez-Rodrigo, M. ",2019,Deep learning and taphonomy high accuracy in the classification of cut marks made on fleshed and defleshed bones using convolutional neural networks,"Institute of Evolution in Africa (IDEA), University of Alcala, Covarrubias 36, 28010 Madrid, Spain",Institute of Evolution in Africa,University of Alcala,Spain,0.5,0.45,open,paper,ML,classification,DCNN,code,NA,NA,yes,"R, Python",accuracy,1290,NA,"width_shift; height_shift; shear_shift, zoom; horizontal_flipping; rotation ",cut_marks,bones,taphonomy,2D,95
"Cobo-Sanchez, L.; Pizarro-Monzo, M.; Cifuentes-Alcobendas, G.; Jimenez Garcia, B.; Abellan Beltran, N.; Courtenay, L. A.; Mabulla, A.; Baquedano, E.; Dominguez-Rodrigo, M.",2022,Computer vision supports primary access to meat by early Homo 1.84 million years ago,"Institute of Evolution in Africa (IDEA), University of Alcala, Covarrubias 36, 28010 Madrid, Spain",Institute of Evolution in Africa,University of Alcala,Spain,0,0.2,open,paper,ML,classification,CNN,code,NA,NA,yes,Python ,"cross-entropy, accuracy, precision, recall, F1-score, AUC",355,195;80;35;45,width_shift; height_shift; shear_shift; zoom; horizontal_flipping; rotation ,tooth_marks,bones,no_reference_database,2D,90
"Courtenay, L. A.; Herranz-Rodrigo, D.; Huguet, R.; Mate-Gonzalez, M. A.; Gonzalez-Aguilera, D.; Yravedra, J.",2020,Obtaining new resolutions in carnivore tooth pit morphological analyses: A methodological update for digital taphonomy,"Department of Cartographic and Terrain Engineering, Higher Polytechnic School of Avila, University of Salamanca, Avila, Spain",Cartographic-Terrain Engineering Department,University of Salamanca,Spain,NA,NA,open,paper,ML,classification,"DBSCAN, MS",code,NA,NA,yes,Python ,"accuracy, confusion_matrix",60,30;30,NA,tooth_marks,bones,"no_protocol, no_data_sharing, user_bias",tabular,NA
"Courtenay, L. A.; Huguet, R.; Gonzalez-Aguilera, D.; Yravedra, J. ",2020,A Hybrid Geometric Morphometric Deep Learning Approach for Cut and Trampling Mark Classification,"Department of Cartographic and Terrain Engineering, Higher Polytechnic School of avila, University of Salamanca, Hornos Caleros 50, 05003 avila, Spain",Cartographic-Terrain Engineering Department,University of Salamanca,Spain,0.001,0,open,paper,ML,classification,NN,code,NA,NA,no,Python ,"accuracy, sensitivity, specificity,  kappa_statistic, confusion_matrix, ROC, AUC",331,80;251,NA,cut_marks;post_depositional_effects,bones,"insufficient_sample, time",tabular,100
"Courtenay, L. A.; Yravedra, J.; Huguet, R.; Aramendi, J.; Mate-Gonzalez, M. A.;Gonzalez-Aguilera, D.; Arriaza, M. C.",2019,Combining machine learning algorithms and geometric morphometrics A study of carnivore tooth marks,"Area de Prehistoria, Universitat Rovira i Virgili (URV), Avinguda de Catalunya 35, 43002 Tarragona, Spain",IPHES,Rovira i Virgili University,Spain,NA,NA,open,paper,"ML, statistics",classification,"NN, SVM, KNN, PLSDA, MDA, NBC, DT, CTREE, RF",code,NA,NA,no,R,"kappa_statistic, sensitivity, specificity, accuracy, confusion_matrix",216,21;33;20;34;24;30;24;30,NA,tooth_marks,bones,"insufficient_sample, no_reference_database, equifinality, no_protocol",tabular,100
"Dominguez-Rodrigo, M.",2019,Successful classification of experimental bone surface modifications (BSM) through machine learning algorithms: a solution to the controversial use of BSM in paleoanthropology?,"Institute of Evolution in Africa (IDEA), University of Alcala, Covarrubias 36, 28010 Madrid, Spain",Institute of Evolution in Africa,University of Alcala,Spain,NA,NA,restricted,paper,"ML, statistics",classification,"NN, SVM, KNN, RF, MDA, NBC, PLSDA, DT",code,NA,NA,no,R,"kappa_statistic, accuracy",602,105;246;251,NA,post_depositional_effects,bones,"no_protocol, equifinality, user_bias",tabular,92
"Dominguez-Rodrigo, M.; Baquedano, E.",2018,Distinguishing butchery cut marks from crocodile bite marks through machine learning methods,"Institute of Evolution in Africa (IDEA), University of Alcala, Covarrubias 36, 28010 Madrid, Spain",Institute of Evolution in Africa,University of Alcala,Spain,NA,NA,open,paper,"ML, statistics",classification,"NBC, PLSDA, MDA, NN, SVM, KNN, RF, DT",code,NA,NA,no,R,"mean_sqrd_error, accuracy, bias, variance",633,105;246;224;58,NA,post_depositional_effects;cut_marks;tooth_marks,bones,"equifinality, palimpsest, taphonomy",tabular,100
"Dominguez-Rodrigo, M.; Baquedano, E.; Varela, L.; Tambusso, P. S.; Melian, M. J.; Farina, R. A.",2021,Deep classification of cut-marks on bones from Arroyo del Vizcaino (Uruguay),"Institute of Evolution in Africa (IDEA), University of Alcala, Covarrubias 36, 28010 Madrid, Spain",Institute of Evolution in Africa,University of Alcala,Spain,NA,NA,open,paper,ML,classification,CNN,code,NA,NA,no,Python ,"accuracy, loss, F1-score",657,488;106;63,width_shift; height_shift; shear_shift; zoom; horizontal_flipping; rotation ,cut_marks,bones,"taphonomy, no_reference_database",2D,91
"Dominguez-Rodrigo, M.; Cifuentes-Alcobendas, G.; Jimenez-Garcia, B.; Abellan, N.; Pizarro-Monzo, M.; Organista, E.; Baquedano, E.",2020,Artificial intelligence provides greater accuracy in the classification of modern and ancient bone surface modifications.,"Institute of Evolution in Africa (IDEA), University of Alcala, Covarrubias 36, 28010 Madrid, Spain",Institute of Evolution in Africa,University of Alcala,Spain,0.24,0.37,open,paper,ML,classification,CNN,code,NA,NA,no,"Python,R","F1-score, accuracy, loss",657,488;106;63,"width_shift; height_shift;shear_shift, zoom; horizontal_flipping; rotation ",cut_marks;tooth_marks;post_depositional_effects,bones,"taphonomy, no_reference_database",2D,92
"Dominguez-Rodrigo, M.; Fernandez-Jauregui, A.; Cifuentes-Alcobendas, G.; Baquedano, E.",2021,Use of Generative Adversarial Networks (GAN) for Taphonomic Image Augmentation and Model Protocol for the Deep Learning Analysis of Bone Surface Modifications,"Institute of Evolution in Africa (IDEA), University of Alcala, Covarrubias 36, 28010 Madrid, Spain",Institute of Evolution in Africa,University of Alcala,Spain,0,0.01,open,paper,ML,classification,CNN,code,NA,NA,yes,Python ,"accuracy, loss, F1-score",657,488;106;63,GANs,cut_marks;tooth_marks;post_depositional_effects,bones,"unbalanced_sample, no_protocol, biased_augmentation",2D,91
"Dominguez-Rodrigo, M.; Pizarro-Monzo, M.; Cifuentes-Alcobendas, G.; Vegara‑Riquelme, M.; Jimenez‑Garcia, B.; Baquedano, E.",2024,Computer vision enables taxon‑specific identification of African carnivore tooth marks on bone,"Institute of Evolution in Africa (IDEA), University of Alcala, Covarrubias 36, 28010 Madrid, Spain",Institute of Evolution in Africa,University of Alcala,Spain,0.22,0.4,open,paper,ML,classification,CNN,code,NA,NA,no,Python ,"accuracy, loss,  F1-score",1256, 264; 544;364; 84,"width_shift; height_shift; shear_shift, zoom; horizontal_flipping; rotation ",tooth_marks,bones,"insufficient_sample, unbalanced_sample, no_reference_database",2D,88
"Dries, M.H. van den",1998,Archaeology and the application of artificial intelligence : case-studies on use-wear analysis of prehistoric flint tools,"Leiden University, Netherlands",Faculty of Archaeology,Leiden University,Netherlands,NA,NA,open,thesis,ML,classification,NN,software,Level5 Object,licenced,NA,PROLOG,accuracy,160,NA,NA,polish,flint,no_reference_database,2D,NA
"Gonzalez-Urquijo, J.U.; Ibanez-Estevez, J.J.",2003,The Quantification of Use-Wear Polish Using Image Analysis First Results,"Departamento de Ciencias Historicas, Universidad de Cantabria, Avda. de los Castros s/n, 39005 Santander, Spain",Department of Historical Sciences,University of Cantabria,Spain,NA,,restricted,paper,statistics,classification,SLC,software,BIOCOM image analysis system,licenced,NA,NA,NA,146,NA,NA,polish,flint,"no_protocol, insufficient_sample",2D,NA
"Ibanez, J. J.; Lazuen, T.; Gonzalez-Urquijo, J.",2019,Identifying Experimental Tool Use Through Confocal Microscopy,"Archaeology of Social Dynamics (ASD), Institucion Milaoy Fontanals (IMF), Spanish National Research Council (CSIC), Barcelona, Spain",Mila & Fontanals Institution,Spanish National Research Council,Spain,NA,,open,paper,statistics,classification,QDFA,software,Mountains7,licenced,NA,NA,NA,"1,032",295;66;169;157;114;81;65;85,NA,polish,flint,"equifinality, user_training",tabular,67
"Ibanez, J.J. ; Gonzalez-Urquijo, J.E. ; Gibaja, J.",2014,Discriminating wild vs domestic cereal harvesting micropolish through laser confocal microscopy,"Archaeology of Social Dynamics (ASD), Institucion Milaoy Fontanals (IMF), Spanish National Research Council (CSIC), Barcelona, Spain",Mila & Fontanals Institution,Spanish National Research Council,Spain,NA,,open,paper,statistics,classification,DA,software,SPSS,licenced,NA,NA,jackknife ,92,53;17;22,NA,polish,flint,"material_limitation, insufficient_sample",tabular,93
"Ibanez, J.J.; Mazzucco, N.",2021,Quantitative use-wear analysis of stone tools: Measuring how the intensity of use affects the identification of the worked material,"Archaeology of Social Dynamics (ASD), Institucion Milaoy Fontanals (IMF), Spanish National Research Council (CSIC), Barcelona, Spain",Mila & Fontanals Institution,Spanish National Research Council,Spain,NA,,open,paper,statistics,classification,QDFA,software,Mountains7,licenced,NA,NA,NA,"1,269",117;96;96;96;96;96;96;96;96;96;96;96;96,NA,polish,flint,"equifinality, material_limitation",tabular,70
"Jimenez-Garcia, B.; Aznarte, J.; Abellan, N.; Baquedano, E.; Dominguez-Rodrigo, M.",2020,Deep learning improves taphonomic resolution: high accuracy in differentiating tooth marks made by lions and jaguars,"Institute of Evolution in Africa (IDEA), University of Alcala, Covarrubias 36, 28010 Madrid, Spain",Institute of Evolution in Africa,University of Alcala,Spain,0.45,0.66,open,paper,ML,classification,CNN,code,NA,NA,no,Python ,"accuracy, confusion_matrix, F1-score, precision, recall, AUC, loss",251,209;42,"width_shift; height_shift; shear_shift, zoom; horizontal_flipping; rotation ",tooth_marks,bones,"no_protocol, insufficient_sample",2D,82
"Luncz, L. V.; Braun, D. R.; Marreiros, J.; Bamford, M.; Zeng, C.; Pacome, S. S.; Junghenn, P.; Buckley, Z.; Yao, X.;  Carvalho, S. ",2022,Chimpanzee wooden tool analysis advances the identification of percussive technology,"Technological Primates Research Group, Max Planck Institute for Evolutionary Anthropology, Leipzig 04103, Germany",Technological Primates Research Group,Max Planck Institute for Evol. Anthropology,Germany,NA,NA,open,paper,ML,classification,CNN,code,NA,NA,no,Python ,"accuracy, F1-score, recall, confusion_matrix, k_fold_cross_validation",1298,NA,NA,damage_patterns,wood,"material_limitation, taphonomy",2D,96
"Ma, S. ; Doyon, L. ; Zhang, Y. ; Li, Z.",2023,Disentangling carcass processing activities and the state of worked hide from use-wear patterns on expedient bone tools: A preliminary experiment,"Shandong University, Institute of Cultural Heritage, Qingdao 266327, China",Institute of Cultural Heritage,Shandong University,China,NA,NA,restricted,paper,statistics,classification,FDA,code,SPSS,licenced,no,R,NA,105,NA,NA,polish;striations,bones,"insufficient_sample, no_reference_database",tabular,83
"Mate-Gonzalez, M. A.; Estaca-Gomez, V.; Aramendi, J.; Saez Blazquez, C.; Rodriguez-Hernandez, J.; Yravedra Sainz de los Terreros, J.; Ruiz-Zapatero, G.; Alvarez-Sanchis, J. R.",2023,Geometric Morphometrics and Machine Learning Models Applied to the Study of Late Iron Age Cut Marks from Central Spain,"Department of Cartographic and Land Engineering, Higher Polytechnic School of Avila, Universidad de Salamanca, C/Hornos Caleros, 50, 05003 Avila, Spain",Cartographic-Terrain Engineering Department,University of Salamanca,Spain,NA,NA,open,paper,ML,classification,"NN, RF, GBM, SVM",code,NA,NA,no,R,"kappa_statistic, sensitivity, specificity, accuracy",259,139;120,NA,cut_marks,bones,"insufficient_sample, no_reference_database",tabular,97
"McPherron, S. P.; Archer, W.; Otarola-Castillo, E. R.; Torquato, M. G.; Keevil, T. L.",2022,"Machine learning, bootstrapping, null models, and why we are still not 100% sure which bone surface modifications were made by crocodiles","Department of Human Evolution, Max Planck Institute for Evolutionary Anthropology, Deutscher Platz 6, Leipzig 04103, Germany",Department of Human Origins,Max Planck Institute for Evol. Anthropology,Germany,NA,NA,restricted,paper,"ML, statistics",classification,"NBC, PLSDA, MDA, NN, SVM, KNN, RF, DT, LDA, GLM",code,NA,NA,yes,R,accuracy,633,105;246;224;58,NA,post_depositional_effects;cut_marks;tooth_marks,bones,"insufficient_sample, no_data_sharing",tabular,38
"Moclan, A.; Dominguez-Rodrigo, M.; Huguet, R.; Pizarro-Monzo, M.; Arsuaga, J. L.; Perez-Gonzalez, A.; Baquedano, E. ",2024,"Deep learning identification of anthropogenic modifications on a carnivore remain suggests use of hyena pelts by Neanderthals in the Navalmaillo rock shelter (Pinilla del Valle, Spain)","Institute of Evolution in Africa (IDEA), University of Alcala, Covarrubias 36, 28010 Madrid, Spain",Institute of Evolution in Africa,University of Alcala,Spain,NA,NA,restricted,paper,ML,classification,CNN,code,NA,NA,available on request,Python ,"accuracy, loss,  F1-score",657,488;106;63,width_shift; height_shift; shear_shift; zoom; horizontal_flipping; rotation ,post_depositional_effects;cut_marks;tooth_marks,bones,taphonomy,2D,96
"Moclan, A.; Dominguez-Rodrigo, M.; Yravedra, J. ",2019,"Classifying agency in bone breakage: an experimental analysis of fracture planes to differentiate between hominin and carnivore dynamic and static loading using machine learning (ML) algorithms, sample size","Centro Nacional de Investigacion sobre la Evolucion Humana (CENIEH), Paseo Sierra de Atapuerca, 3, 09002 Burgos, Spain",CENIEH,Unique Scientific & Technical Infrastructure,Spain,NA,NA,restricted,paper,"ML, statistics",classification,"NN, SVM, KNN, RF, MDA, NBC",code,NA,NA,no,R,"accuracy, kappa_statistic, sensitivity, specificity",343,40;66;237,NA,breakage ,bones,no_reference_database,tabular,95
"Moclan, A.; Huguet, R.; Marquez, B.; Laplana, C.; Arsuaga, J. L.; Perez-Gonzalez, A.;  Baquedano, E.",2020,"Identifying the bone-breaker at the Navalmaillo Rock Shelter (Pinilla del Valle, Madrid) using machine learning algorithms","Centro Nacional de Investigacion sobre la Evolucion Humana (CENIEH), Paseo Sierra de Atapuerca, 3, 09002 Burgos, Spain",CENIEH,Unique Scientific & Technical Infrastructure,Spain,NA,NA,restricted,paper,"ML, statistics",classification,"NN, SVM, KNN, RF, MDA, NBC, PLS, DT",code,NA,NA,no,R,"kappa_statistic, accuracy, sensitivity, specificity",1697,881;202;237,NA,breakage,bones,insufficient_sample,tabular,97
"Pedergnana, A.; Calandra, I.; Evans, A. A.; Bob, K.; Hildebrandt, A.; Olle, A.",2020,Polish is quantitatively different on quartzite flakes used on different worked materials,"TraCEr, Laboratory for Traceology and Controlled Experiments at MONREPOS Archaeological Research Centre and Museum for Human Behavioural Evolution, RGZM, Neuwied, Germany",TraCEr ,MONREPOS,Germany,NA,NA,open,paper,ML,classification,"DT, SVM",code,NA,NA,yes,R,"accuracy, confusion_matrix",78,NA,NA,polish,quartzite,no_protocol,tabular,47
"Pizarro-Monzo, M.; Dominguez-Rodrigo, M.",2020,Dynamic modification of cut marks by trampling: temporal assessment through the use of mixed-effect regressions and deep learning methods,"Institute of Evolution in Africa (IDEA), University of Alcala, Covarrubias 36, 28010 Madrid, Spain",Institute of Evolution in Africa,University of Alcala,Spain,0.5,1,restricted,paper,"ML, statistics",classification,"CNN, CVLR",code,NA,NA,no,Python ,"accuracy, loss, ROC, AUC",706,660;46,width_shift; height_shift; shear_shift; zoom; horizontal_flipping; rotation ,cut_marks;post_depositional_effects,bones,material_limitation,tabular,97
"Pizarro‐Monzo, M.; Organista, E.; Cobo‐Sanchez, L.; Baquedano, E.; Dominguez‐Rodrigo, M.",2022,Determining the diagenetic paths of archaeofaunal assemblages and their palaeoecology through artificial intelligence: an application to Oldowan sites from Olduvai Gorge (Tanzania),"Institute of Evolution in Africa (IDEA), University of Alcala, Covarrubias 36, 28010 Madrid, Spain",Institute of Evolution in Africa,University of Alcala,Spain,NA,NA,open,paper,ML,classification,CNN,code,NA,NA,no,Python ,"accuracy, loss, F1-score, AUC",400,50;50;50;50;50;50;50;50,"width_shift; height_shift; shear_shift, zoom; horizontal_flipping; rotation ",cut_marks;post_depositional_effects,bones,NA,2D,74
"Rodriguez, A.; Pouydebat, E.; Chacon, M. G.; Moncel, M.H.; Cornette, R.; Bardo, A.; Cheze, L.; Iovita, R.; Borel, A.",2020,Right or left? Determining the hand holding the tool from use traces,"Histoire Naturelle de l Homme Prehistorique (HNHP), Museum national dhistoire naturelle, Paris, France",Histoire Naturelle de l Homme Prehistorique,Paris Natural History Museum,France,NA,NA,restricted,paper,ML,classification,KNN,code,NA,NA,no,R,"leave-one-out, kappa_statistic, sensitivity, specificity",60,20;20;20,NA,scarring,soda_lime_glass,"insufficient_sample, no_reference_database",tabular,75
"Sferrazza, P.",2023,Grey level co-occurrence matrix and learning algorithms to quantify and classify use-wear on experimental flint tools,"State Office for Heritage Management and Archaeology Saxony-Anhalt, Germany",Heritage Management & Archaeology ,State Office,Germany,NA,NA,restricted,paper,"statistics, ML ",classification,"GLCM, SVM, RF",software,"ImageJ, Orange-Data mining",open,NA,NA,"accuracy, confusion_matrix, ROC, AUC, leave-one-out",150,NA,NA,polish,flint,insufficient_sample,tabular,78
"Stevens, N. E.; Harro, D. R.; Hicklin, A. ",2010,Practical quantitative lithic use-wear analysis using multiple classifiers,"Department of Anthropology, University of California, USA",Department of Anthropology,University of California,USA,NA,NA,open,paper,"statistics, ML",classification,"DA, DT",software,JMP,licenced,NA,NA,NA,64,36;12;16,NA,polish,chert,"no_reference_database, taphonomy",tabular,60
"Vegara-Riquelme, M.; Gidna, A.; Uribelarrea del Val, D.; Baquedano, E.; Dominguez-Rodrigo, M. ",2023,"Reassessing the role of carnivores in the formation of FLK North 3 (Olduvai Gorge, Tanzania): A pilot taphonomic analysis using Artificial Intelligence tools","University of Alcala, Department of History and Philosophy, Area of Prehistory, C/Colegios 2, 28801, Alcala de Henares, Spain",Department of History & Philosophy,University of Alcala,Spain,NA,NA,open,paper,ML,classification,CNN,code,NA,NA,yes,Python ,accuracy,454,209;80;83;82,width_shift; height_shift; shear_shift; zoom; horizontal_flipping; rotation ,tooth_marks,bones,"insufficient_sample, no_reference_database",2D,95
"Yezzi-Woodley, K.; Terwilliger, A.; Li, J.; Chen, E.; Tappen, M.; Calder, J.; Olver, P. J.",2024,Using machine learning on new feature sets extracted from 3D models of broken animal bones to classify fragments according to break agent,"Department of Anthropology, University of Minnesota, USA",Department of Anthropology,University of Minnesota,USA,NA,NA,open,paper,"ML, statistics",classification,"RF, SVM, NN, LDA, GNB, KNN",code,NA,NA,yes,Python ,"accuracy, loss",463,275;188,NA,breakage,bones,"insufficient_sample, unbalanced_sample, equifinality",tabular,79
"Yravedra, J.; Herranz-Rodrigo, D.; Mendoza, C.; Aragon-Poza, P.; Courtenay, L. A. ",2021,The use of tooth marks for new research into identifying and understanding the first domestic dogs in Palaeolithic populations.,"Department of Prehistory, Complutense University, Prof. Aranguren s/n, 28040 Madrid, Spain",Department of Prehistory,Complutense University,Spain,NA,NA,open,paper,ML,classification,SVM,code,NA,NA,no,R,"accuracy, sensitivity, specificity, kappa_statistic, AUC, ROC, mean_sqrd_error",160,80;80,NA,tooth_marks,bones,"insufficient_sample, no_reference_database",tabular,97
"Zhang, J.; Fang, I.; Zhang, J.; Wu, H.; Kaushik, A.; Rodriguez, A.; Zhao, H.; Zheng, Z.; Iovita, R.; Feng, C.",2024,Luwa dataset: Learning lithic use-wear analysis on microscopic images,"New York University, USA",Department of Anthropology,New York University,USA,NA,NA,open,paper,ML,classification,CNN,code,NA,NA,no,Python ,accuracy,NA,NA,NA,polish;striations;impact_marks,flint,"no_data_sharing, material_limitation, insufficient_sample","2D, 3D",67
"Sferrazza, P.",2024,Archaeological and experimental lithic microwearclassifi cation through 2D textural analysis andmachine learning,"TraCEr, Laboratory for Traceology and Controlled Experiments at MONREPOS Archaeological Research Centre and Museum for Human Behavioural Evolution, RGZM, Neuwied, Germany",TraCEr ,MONREPOS,Germany,NA,NA,open,paper,ML,"classification, segmentation","KNN, DT, RF, GBMAC, NN",software,Orange,open,NA,NA,"ROC, AUC, accuracy, precision",150,30;30;30;30;30,contrast_enhancement,polish,flint,insufficient_sample,2D,87
"Yrarrazaval, S.; Cartajena, I.; Borrero, L.; Salazar, D.",2024,Identifying non-anthropogenic accumulation in zooarchaeological assemblages using naive Bayesian classifier: A trace-oriented actualistic taphonomic approach in the hyperarid coasts of the Atacama desert,"Department of History and History of Art, Universitat Rovira i Virgili (URV), Avinguda de Catalunya 35, 43002 Tarragona, Spain",IPHES,Rovira i Virgili University,Spain,NA,NA,open,paper,ML,classification,NBC,code,NA,NA,yes,R,"accuracy, confusion_matrix, sensitivity, specificity, precision ",6961,NA,NA,damage_patterns;tooth_marks,bones," user_training, no_reference_database",tabular,90
"Bustos-Perez, G.; Olle, A.",2024,Microscope agnosticism and the characterization of sedimentary abrasion of flint stone tools,"Department of Human Evolution, Max Planck Institute for Evolutionary Anthropology, Deutscher Platz 6, Leipzig 04103, Germany",Department of Human Origins,Max Planck Institute for Evol. Anthropology,Germany,NA,NA,open,paper,ML,classification,LDA,code,NA,NA,yes,R,"accuracy, AUC",534,100;105;71;100;87;71,NA,post_depositional_effects,flint,material_limitation,tabular,89
"Jimenez-Garcia, B.; Mico, C.; Pizarro-Monzo, M.; Cifuentes-Alcobendas, G.; Arilla, M.; Rosell, J.; Rivals, F.; Blasco, R.; Baquedano, E.; Dominguez-Rodrigo, M. ",2024,"Artificial intelligence for the identification of taphonomic bio-accumulator agents: an actualistic test of potential faunal accumulation agency applied to Tritons Cave (Lleida, Spain)","Institute of Evolution in Africa (IDEA), University of Alcala, Covarrubias 36, 28010 Madrid, Spain",Institute of Evolution in Africa,University of Alcala,Spain,0.1,0.3,open,paper,ML,classification,CNN,code,NA,NA,yes,Python ,"accuracy, learning_curves, F1-score",1106,543;200;363,rotation;width shift;height shift;shear range;horizontal flipping,tooth_marks,bones,"insufficient_sample, low_image_quality",2D,92
"Cobo-Sanchez, L.; Rufa, A.; Cascalheira, J.",2024,Alternating carnivore and Neanderthal activities at Escoural Cave: insights from the taphonomic and machine learning analysis of leporid remains,The Interdisciplinary Center for Archaeology and Evolution of Human Behaviour,ICArEHB,University of Algarve,Portugal,NA,NA,open,paper,ML,classification,"RF, SVM, GBM",code,NA,NA,no,R,"accuracy, kappa, precision, recall, F1-score",NA,NA,NA,NA,bones,"insufficient_sample, equifinality, material_limitation",tabular,79
"Moclan, A.; Dominguez-Rodrigo, M.",2023,Are highly accurate models of agency in bone breaking the result of misuse of machine learning methods?,"Institute of Evolution in Africa (IDEA), University of Alcala, Covarrubias 36, 28010 Madrid, Spain",Institute of Evolution in Africa,University of Alcala,Spain,NA,NA,restricted,paper,ML,classification,"NN, SVM, KNN, RF, MDA, NB",code,NA,NA,yes,"Python, R","accuracy, confusion_matrix,kappa,  sensitivity, specificity, McNemar_test",637,332;305,NA,breakage ,bones,NA,tabular,87