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Digital Phenotyping and Feature Extraction on Smartphone Data for Depression Detection

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Broadcasting Oneself: Visual Discovery of Vlogging Styles

Aran, O., Biel, J.-I., & Gática-Pérez, D. (2013) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2013.2284893 · Cited by 53

Modulation of immunity in mice with latent toxoplasmosis—the experimental support for the immunosuppression hypothesis of Toxoplasma-induced changes in reproduction of mice and humans

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A Comprehensive Statistical Study on Daytime Surface Urban Heat Island during Summer in Urban Areas, Case Study: Cairo and Its New Towns

Shahraiyni, H. T., Sodoudi, S., El-Zafarany, A. M., Seoud, T. A. E., Ashraf, H., & Krone, K. (2016) · Remote Sensing · doi:10.3390/rs8080643 · Cited by 58

The new optimization algorithm for the vehicle routing problem with time windows using multi-objective discrete learnable evolution model

Moradi, B. (2019) · Soft Computing · doi:10.1007/s00500-019-04312-9 · Cited by 53

A New Approach for Transformation-Based Fuzzy Rule Interpolation

Chen, T., Shang, C., Yang, J., Li, F., & Shen, Q. (2019) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2019.2949767 · Cited by 53

Digital copying and the supply of sound recordings

Handke, C. W. (2012) · Information Economics and Policy · doi:10.1016/j.infoecopol.2012.01.009 · Cited by 53

The use of nonparametric effect sizes in single study musculoskeletal physiotherapy research: A practical primer

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Robust semi-supervised multi-label feature selection based on shared subspace and manifold learning

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An empirical study of faults in late propagation clone genealogies

Barbour, L., Khomh, F., & Zou, Y. (2013) · Journal of Software Evolution and Process · doi:10.1002/smr.1597 · Cited by 52

Comparing cost prediction models by resampling techniques

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Addressing imbalanced classification with instance generation techniques: IPADE-ID

López, V., Isaac Triguero, A., Carmona, C. J., García, S., & Herrera, F. (2013) · Neurocomputing · doi:10.1016/j.neucom.2013.01.050 · Cited by 52

A Systematic Review on Test Suite Reduction: Approaches, Experiment’s Quality Evaluation, and Guidelines

Khan, S. U. R., Lee, S. P., Javaid, N., & Abdul, W. (2018) · IEEE Access · doi:10.1109/access.2018.2809600 · Cited by 55

A robust graph-based semi-supervised sparse feature selection method

Sheikhpour, R., Sarram, M. A., Gharaghani, S., & Chahooki, M. A. Z. (2020) · Information Sciences · doi:10.1016/j.ins.2020.03.094 · Cited by 52

Tactile feedback system of high-frequency vibration signals for supporting delicate teleoperation of construction robots

Nagano, H., Takenouchi, H., Cao, N., Konyo, M., & Tadokoro, S. (2020) · Advanced Robotics · doi:10.1080/01691864.2020.1769725 · Cited by 52

Studies on silhouette quality and gait recognition

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Accounting for Lease Renewal Options: The Informational Effects of Unit of Account Choices

Hales, J., Venkataraman, S., & Wilks, T. J. (2011) · The Accounting Review · doi:10.2308/accr-10165 · Cited by 51

Compounding General Purpose Membership Functions for Fuzzy Support Vector Machine Under Noisy Environment

Sevakula, R. K., & Verma, N. K. (2017) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2017.2722421 · Cited by 51

Optimal energy management strategy for a renewable‐based microgrid considering sizing of battery energy storage with control policies

Quynh, N. V., Ali, Z. M., Alhaider, M. M., Rezvani, A., & Suzuki, K. (2020) · International Journal of Energy Research · doi:10.1002/er.6198 · Cited by 51

Peer Review versus Bibliometrics: Which Method Better Predicts the Scholarly Impact of Publications?

Abramo, G., D’Angelo, C. A., & Reale, E. (2019) · Scientometrics · doi:10.1007/s11192-019-03184-y · Cited by 50

Estimating linkage disequilibrium from genotypes under Hardy-Weinberg equilibrium

Hui, T. J., & Burt, A. (2020) · BMC Genetics · doi:10.1186/s12863-020-0818-9 · Cited by 50

Multiple-Scale Relationships between Vegetation, the Wildland–Urban Interface, and Structure Loss to Wildfire in California

Syphard, A. D., Rustigian‐Romsos, H., & Keeley, J. E. (2021) · Fire · doi:10.3390/fire4010012 · Cited by 56

Integrating user preferences and decomposition methods for many-objective optimization

Mohammadi, A., Omidvar, M. N., Li, X., & Deb, K. (2014) · IEEE Congress on Evolutionary Computation (CEC) · doi:10.1109/cec.2014.6900595 · Cited by 50

Brief Communication: Latent toxoplasmosis and salivary testosterone concentration—Important confounding factors in second to fourth digit ratio studies

Jaroslav Flegr, A., Lindová, J., Pivoñková, V., & Havlı́ček, J. (2008) · American Journal of Physical Anthropology · doi:10.1002/ajpa.20888 · Cited by 50

Empirical Investigation of the Effects of Test Suite Properties on Similarity-Based Test Case Selection

Hemmati, H., Arcuri, A., & Briand, L. (2011) · IEEE International Conference on Software Testing, Verification and Validation (ICST) · doi:10.1109/icst.2011.12 · Cited by 50

A Stochastic Method to Generate Libraries of Structural Representations of Lignin

Yanez, A. J., Li, W., Mabon, R., & Broadbelt, L. J. (2016) · Energy & Fuels · doi:10.1021/acs.energyfuels.6b00966 · Cited by 53

The Impact of Code Smells on Software Bugs: A Systematic Literature Review

Cairo, A., Carneiro, G. D. F., & Monteiro, M. P. (2018) · Information · doi:10.3390/info9110273 · Cited by 50

Integrating modern dermatology and Ayurveda in the treatment of vitiligo and lymphedema in India

Narahari, S. R. B., Ryan, T. J., Bose, K. S., Prasanna, K. S., & Aggithaya, M. G. (2011) · International Journal of Dermatology · doi:10.1111/j.1365-4632.2010.04744.x · Cited by 49

Enhancing test case prioritization in an industrial setting with resource awareness and multi-objective search

Wang, S., Ali, S., Yue, T., Bakkeli, Ø., & Liaaen, M. C. (2016) · ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) · doi:10.1145/2889160.2889240 · Cited by 49

Random Forest Surrogate Models to Support Design Space Exploration in Aerospace Use-Case

Dasari, S. K., Cheddad, A., & Andersson, P. (2019) · IFIP advances in information and communication technology · doi:10.1007/978-3-030-19823-7_45 · Cited by 49

Structure of Plot Systems and Economic Activity in Cities: Linking Plot Types to Retail and Food Services in London, Amsterdam and Stockholm

Bobkova, E., Marcus, L., Pont, M. B., Stavroulaki, I., & Bolin, D. (2019) · Urban Science · doi:10.3390/urbansci3030066 · Cited by 49

Design and Construction of an Equibiaxial Cell Stretching System That Is Improved for Biochemical Analysis

Ursekar, C. P., Teo, S.-K., Hirata, H., Harada, I., Chiam, K., & Sawada, Y. (2014) · PLoS ONE · doi:10.1371/journal.pone.0090665 · Cited by 48

A head-to-head comparison of EQ-5D-5 L and SF-6D in Chinese patients with low back pain

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PipelineProfiler: A Visual Analytics Tool for the Exploration of AutoML Pipelines

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Evaluating uncertainty in climate change impacts on crop productivity in the Iberian Peninsula

Ruiz‐Ramos, M., & Mínguez, M. I. (2010) · Climate Research · doi:10.3354/cr00933 · Cited by 48

A Competent Memetic Algorithm for Learning Fuzzy Cognitive Maps

Acampora, G., Pedrycz, W., & Vitiello, A. (2015) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2015.2426311 · Cited by 47

Motor imagery evokes increased somatosensory activity in parkinson's disease patients with tremor

Helmich, R. C. G., Bloem, B. R., & Toni, I. (2011) · Human Brain Mapping · doi:10.1002/hbm.21318 · Cited by 52

Automatic support vector data description

Sadeghi, R., & Hamidzadeh, J. (2016) · Soft Computing · doi:10.1007/s00500-016-2317-5 · Cited by 47

rNPBST: An R Package Covering Non-parametric and Bayesian Statistical Tests

Carrasco, J., García, S., Rueda, M. D. M., & Herrera, F. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-59650-1_24 · Cited by 47

Metabolomics of sorghum roots during nitrogen stress reveals compromised metabolic capacity for salicylic acid biosynthesis

Sheflin, A. M., Chiniquy, D. M., Yuan, C., Goren, E., Kumar, I., Braud, M., Brutnell, T. P., Eveland, A. L., Tringe, S. G., Liu, P., et al. (2019) · Plant Direct · doi:10.1002/pld3.122 · Cited by 47

Coliforms and Prevalence of Escherichia coli and Foodborne Pathogens on Minimally Processed Spinach in Two Packing Plants

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Profile of tourists visiting European spa resorts: a case study of Poland

Dryglas, D., & Różycki, P. (2017) · Journal of Policy Research in Tourism Leisure and Events · doi:10.1080/19407963.2017.1297311 · Cited by 46

Leveraging Vertically Integrated Courses and Problem-Based Learning to Improve Students’ Performance and Skills

ElZomor, M., Mann, C., Doten-Snitker, K., Parrish, K., & Chester, M. (2018) · Journal of Professional Issues in Engineering Education and Practice · doi:10.1061/(asce)ei.1943-5541.0000379 · Cited by 49

Multi-Channel Decomposition in Tandem With Free-Energy Principle for Reduced-Reference Image Quality Assessment

Zhu, W., Zhai, G., Min, X., Hu, M., Liu, J., Guo, G., & Yang, X. (2019) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2019.2902484 · Cited by 46

The effect of R&D investments, highly skilled employees, and patents on the performance of Italian innovative startups

Matricano, D. (2020) · Routledge eBooks · doi:10.1080/09537325.2020.1757057 · Cited by 62

METCO: A PARALLEL PLUGIN-BASED FRAMEWORK FOR MULTI-OBJECTIVE OPTIMIZATION

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A novel Boosted-neural network ensemble for modeling multi-target regression problems

Hadavandi, E., Shahrabi, J., & Shamshirband, S. (2015) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2015.06.022 · Cited by 46

Simulated annealing with stochastic local search for minimum dominating set problem

Hedar, A.-R., & Ismail, R. (2011) · International Journal of Machine Learning and Cybernetics · doi:10.1007/s13042-011-0043-y · Cited by 45

Quantifying Variable Interactions in Continuous Optimization Problems

Sun, Y., Kirley, M., & Halgamuge, S. K. (2016) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2016.2599164 · Cited by 45

Predicting company growth using logistic regression and neural networks

Zekić–Sušac, M., Šarlija, N., Has, A., & Bilandzic, A. S. (2016) · Croatian Operational Research Review · doi:10.17535/crorr.2016.0016 · Cited by 45

Estimation of stature in archaeological human skeletal remains from Britain

Mays, S. (2016) · American Journal of Physical Anthropology · doi:10.1002/ajpa.23068 · Cited by 45

Statistical corrections of spatially interpolated missing precipitation data estimates

Teegavarapu, R. S. V. (2013) · Hydrological Processes · doi:10.1002/hyp.9906 · Cited by 44

Structuring a New Socioscientific Issues (SSI) Based Instruction Model: Impacts on Pre-service Science Teachers’ (PSTs) Critical Thinking Skills and Dispositions

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QueryVis: Logic-based Diagrams help Users Understand Complicated SQL Queries Faster

Leventidis, A. S., Zhang, J., Dunne, C., Gatterbauer, W., Jagadish, H. V., & Riedewald, M. (2020) · ACM SIGMOD International Conference on Management of Data (SIGMOD) · doi:10.1145/3318464.3389767 · Cited by 44

Assessing the Temporal Stability of the Accuracy of a Time Series of Burned Area Products

Padilla, M., Stehman, S. V., Litago, J., & Chuvieco, E. (2014) · Remote Sensing · doi:10.3390/rs6032050 · Cited by 44

The development and validation of a psychological contract of safety scale

Walker, A. (2010) · Journal of Safety Research · doi:10.1016/j.jsr.2010.06.002 · Cited by 44

Data Clustering Using Moth-Flame Optimization Algorithm

Singh, T., Saxena, N., Khurana, M., Singh, D., Abdalla, M., & Alshazly, H. A. (2021) · Sensors · doi:10.3390/s21124086 · Cited by 43

Stress-induced changes in group behaviour

Kleinhappel, T. K., Pike, T. W., & Burman, O. H. P. (2019) · Scientific Reports · doi:10.1038/s41598-019-53661-w · Cited by 42

An interactive virtual reality model for enhancing safety training in construction education

Abotaleb, I. S., Hosny, O. A., Nassar, K., Bader, S. M., Elrifaee, M., Ibrahim, S., Elhakim, Y., & Sherif, M. (2022) · Computer Applications in Engineering Education · doi:10.1002/cae.22585 · Cited by 42

Are forward designed or reverse-engineered UML diagrams more helpful for code maintenance?

Fernández-Sáez, A. M., Chaudron, M. R. V., Genero, M., & Ramos, I. M. (2013) · International Conference on Evaluation and Assessment in Software Engineering (EASE) · doi:10.1145/2460999.2461008 · Cited by 42

Laboratory or Field Tests for Evaluating Firefighters' Work Capacity?

Lindberg, A.-S., Oksa, J., & Malm, C. (2014) · PLoS ONE · doi:10.1371/journal.pone.0091215 · Cited by 42

A Novel Hybrid Classification Model of Genetic Algorithms, Modified k-Nearest Neighbor and Developed Backpropagation Neural Network

Salari, N., Shohaimi, S., Najafi, F., Nallappan, M., & Karishnarajah, I. (2014) · PLoS ONE · doi:10.1371/journal.pone.0112987 · Cited by 43

Code Smells in iOS Apps: How Do They Compare to Android?

Habchi, S., Hecht, G., Rouvoy, R., & Moha, N. (2017) · IEEE/ACM International Conference on Mobile Software Engineering and Systems (MOBILESoft) · doi:10.1109/mobilesoft.2017.11 · Cited by 42

Comparing model development in Discrete Event Simulation and System Dynamics

Tako, A. A., & Robinson, S. (2009) · Winter Simulation Conference · doi:10.1109/wsc.2009.5429423 · Cited by 42

No-Reference Image Quality Assessment with Convolutional Neural Networks and Decision Fusion

Varga, D. (2021) · Applied Sciences · doi:10.3390/app12010101 · Cited by 43

Using virtual robot-mediated play activities to assess cognitive skills

Encarnação, P. M. M., Alvarez, L., Rincon, A. M. R., Maya, C., Adams, K. D., & Cook, A. (2013) · Disability and Rehabilitation Assistive Technology · doi:10.3109/17483107.2013.782577 · Cited by 42

Exploring the Semantic Gap for Movie Recommendations

Elahi, M., Deldjoo, Y., Moghaddam, F. B., Cella, L., Cereda, S., & Cremonesi, P. (2017) · ACM Conference on Recommender Systems (RecSys) · doi:10.1145/3109859.3109908 · Cited by 41

Matching biomedical ontologies through Compact Differential Evolution algorithm with compact adaption schemes on control parameters

Xue, X., & Chen, J. (2020) · Neurocomputing · doi:10.1016/j.neucom.2020.03.122 · Cited by 41

How Personalization Affects Motivation in Gamified Review Assessments

Rodrigues, L., Palomino, P. T., Toda, A. M., Klock, A. C. T., Pessoa, M., Pereira, F. D., Oliveira, E., Oliveira, D. F., Cristea, A. I., Gasparini, I., et al. (2023) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-022-00326-x · Cited by 44

Fractal dimension in software networks

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A Comparison of Android Reverse Engineering Tools via Program Behaviors Validation Based on Intermediate Languages Transformation

Arnatovich, Y. L., Wang, L., Ngo, N. M., & Soh, C. (2018) · IEEE Access · doi:10.1109/access.2018.2808340 · Cited by 40

Efficient Heuristics for Profit Optimization of Virtual Cloud Brokers

Nesmachnow, S., Iturriaga, S., & Dorronsoro, B. (2015) · IEEE Computational Intelligence Magazine · doi:10.1109/mci.2014.2369893 · Cited by 40

Structure identification of Bayesian classifiers based on GMDH

Xiao, J., He, C., & Jiang, X. (2009) · Knowledge-Based Systems · doi:10.1016/j.knosys.2009.06.005 · Cited by 40

Short‐tailed temperature distributions over North America and implications for future changes in extremes

Loikith, P. C., & Neelin, J. D. (2015) · Geophysical Research Letters · doi:10.1002/2015gl065602 · Cited by 40

Differential Evolution With Domain Transform

Zhang, S. X., Wen, Y. N., Liu, Y. H., Zheng, L. M., & Zheng, S. Y. (2022) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2022.3220424 · Cited by 39

The impact of domestic energy efficiency retrofit schemes on householder attitudes and behaviours

Long, T. B., Young, W., Webber, P., Gouldson, A., & Harwatt, H. (2014) · Journal of Environmental Planning and Management · doi:10.1080/09640568.2014.965299 · Cited by 39

Implementation and comparison of algorithms for multi-objective optimization based on genetic algorithms applied to the management of an automated warehouse

Nastasi, G., Colla, V., Cateni, S., & Campigli, S. (2016) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-016-1198-x · Cited by 39

Audio-visual encoding of multimedia content for enhancing movie recommendations

Deldjoo, Y., Constantin, M. G., Eghbal-zadeh, H., Ionescu, B. E., Schedl, M., & Cremonesi, P. (2018) · ACM Conference on Recommender Systems (RecSys) · doi:10.1145/3240323.3240407 · Cited by 39

Just-in-time Customer Churn Prediction: With and Without Data Transformation

Amin, A., Shah, B., Khattak, A. M., Baker, T., Durrani, H. U. R., & Anwar, S. (2018) · IEEE Congress on Evolutionary Computation (CEC) · doi:10.1109/cec.2018.8477954 · Cited by 39

MECP2 Duplication Causes Aberrant GABA Pathways, Circuits and Behaviors in Transgenic Monkeys: Neural Mappings to Patients with Autism

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Nearest neighbor and learning vector quantization classification for damage detection using time series analysis

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An empirical study on the joint impact of feature selection and data resampling on imbalance classification

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A data mining method for automatic identification and analysis of icebreaker assistance operation in ice-covered waters

Liu, C., Musharraf, M., Li, F., & Kujala, P. (2022) · Ocean Engineering · doi:10.1016/j.oceaneng.2022.112914 · Cited by 38

"Like Popcorn"

Metatla, O., Maggioni, E., Cullen, C. M., & Obrist, M. (2019) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300689 · Cited by 38

Unsupervised online detection and prediction of outliers in streams of sensor data

Reunanen, N., Räty, T., Jokinen, J. J., Hoyt, T., & Culler, D. (2019) · International Journal of Data Science and Analytics · doi:10.1007/s41060-019-00191-3 · Cited by 38

Cellulose‐based filter aids increase the capacity of depth filters during the downstream processing of plant‐derived biopharmaceutical proteins

Buyel, J. F., Opdensteinen, P., & Fischer, R. (2015) · Biotechnology Journal · doi:10.1002/biot.201400611 · Cited by 38

Restricted attention to social cues in schizophrenia patients

Nikolaides, A. S. C., Miess, S., Auvera, I., Müller, R., Klosterkötter, J., & Ruhrmann, S. (2016) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-016-0705-6 · Cited by 37

Integrating Weight Assignment Strategies With NSGA-II for Supporting User Preference Multiobjective Optimization

Wang, S., Ali, S., Yue, T., & Liaaen, M. C. (2017) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2017.2778560 · Cited by 37

EEG Correlates of Preparatory Orienting, Contextual Updating, and Inhibition of Sensory Processing in Left Spatial Neglect

Lasaponara, S., D'Onofrio, M., Pinto, M., Dragone, A., Menicagli, D., Bueti, D., Marzia De Lucia, E., Tomaiuolo, F., & Doricchi, F. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.2817-17.2018 · Cited by 40

Forest Management Certification in Romania: Motivations and Perceptions

Hălălișan, A.-F., Abrudan, I. V., & Popa, B. (2018) · Forests · doi:10.3390/f9070425 · Cited by 37

Blind Quality Assessment for Tone-Mapped Images by Analysis of Gradient and Chromatic Statistics

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A novel nature-inspired nutcracker optimizer algorithm for congestion control in power system transmission lines

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Optimization algorithms for large-scale real-world instances of the frequency assignment problem

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Mathematical programming-based approaches for multi-facility glass container production planning

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Economic and social development generated by innovative startups: does heterogeneity persist across Italian macro-regions?

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Probing the Brain–Body Connection Using Transcranial Magnetic Stimulation (TMS): Validating a Promising Tool to Provide Biomarkers of Neuroplasticity and Central Nervous System Function

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Evaluation of CD4-CD4i Antibody Architectures Yields Potent, Broadly Cross-Reactive Anti-Human Immunodeficiency Virus Reagents

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Elucidating a Relationship between Conformational Sampling and Drug Resistance in HIV-1 Protease

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