| 2013 | EANN | Learning Accurate Active Contours. | Adas Gelzinis, Antanas Verikas, Marija Bacauskiene, Evaldas Vaiciukynas |
| 2011 | ISDA | Monitoring human larynx by random forests using questionnaire data. | Antanas Verikas, Marija Bacauskiene, Adas Gelzinis, Virgilijus Uloza |
| 2007 | ACIVS | Categorizing Laryngeal Images for Decision Support. | Adas Gelzinis, Antanas Verikas, Marija Bacauskiene |
| 2006 | ISNN | Selecting Variables for Neural Network Committees. | Marija Bacauskiene, Vladas Cibulskis, Antanas Verikas |
| 2006 | ISNN | A Kernel Based Multi-resolution Time Series Analysis for Screening Deficiencies in Paper Production. | Marcus Ejnarsson, Carl Magnus Nilsson, Antanas Verikas |
| 2005 | ISNN | A SOM Based Model Combination Strategy. | Cristofer Englund, Antanas Verikas |
| 2004 | ICONIP | Leverages Based Neural Networks Fusion. | Antanas Verikas, Marija Bacauskiene, Adas Gelzinis |
| 2003 | ICANN | Selecting Salient Features for Classification Committees. | Antanas Verikas, Marija Bacauskiene, Kerstin Malmqvist |
| 2002 | ICANN | Selecting Neural Networks for Making a Committee Decision. | Antanas Verikas, Arunas Lipnickas, Kerstin Malmqvist |
| 2000 | IJCNN | Combining Neural Networks, Fuzzy Sets, and Evidence Theory Based Approaches for Analyzing Color Images. | Antanas Verikas, Kerstin Malmqvist, Marija Bacauskiene |
| 1998 | ICONIP | Soft Fusion of Neural Classifiers. | Antanas Verikas, Kerstin Malmqvist, Marija Bacauskiene, Arunas Lipnickas |
| 1997 | ICONIP | A Random Search Technique for Training Neural Networks. | Antanas Verikas, Adas Gelzinis, Kerstin Malmqvist |